diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 2097ff1..c6be13b 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -62,10 +62,11 @@ jobs: - name: Run basic functionality test run: | uv run rulebook-ai --help - uv run rulebook-ai list-rules + uv run rulebook-ai packs list mkdir -p test_project - uv run rulebook-ai install --rule-set light-spec --project-dir test_project - yes | uv run rulebook-ai clean-all --project-dir test_project + uv run rulebook-ai packs add light-spec --project-dir test_project + uv run rulebook-ai project sync --pack light-spec --project-dir test_project + yes | uv run rulebook-ai project clean --project-dir test_project - name: Run tests with pytest run: uv run pytest --cov=rulebook_ai diff --git a/.gitignore b/.gitignore index 7fd4634..371d166 100644 --- a/.gitignore +++ b/.gitignore @@ -103,7 +103,9 @@ GEMINI.md .github/copilot-instructions.md .idx/ project_rules/ +.gemini/GEMINI.md +.rulebook-ai/ # vscode extension ### VS Code extension package diff --git a/README.md b/README.md index dfc0fee..c9bc069 100644 --- a/README.md +++ b/README.md @@ -1,455 +1,113 @@ [![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) -# Rulebook-AI: Universal Rules Template for AI Coding Assistants +# Rulebook-AI: The AI Environment Manager -* Bugs or ideas → open an **Issue** in the repo (run `rulebook-ai bug-report`) -* Rate or review rule sets → run `rulebook-ai rate-ruleset` -* See rule set reviews before installing → run `rulebook-ai list-rules` and follow the link -* Anonymous feedback: [Go to the Google Form](https://docs.google.com/forms/d/e/1FAIpQLSeW57QtPEWIRhHY1iOb8f5KQZTGLSeeb_PN2iZLd0Aw_pVYxw/viewform?usp=header) +`rulebook-ai` is a command-line tool for packaging and deploying consistent, expert environments—**rules, context, and tools**—to your favorite AI coding assistants. -## Quick Start with uv/uvx +Stop wasting time re-explaining your project's architecture or manually copy-pasting instructions between different AIs. With `rulebook-ai`, you define your AI's environment once, and deploy it anywhere. -```bash -# Install uv if you don't have it yet -curl -fsSL https://astral.sh/uv/install.sh | bash - -# Install rulebook-ai in an ephemeral environment and run it -uvx rulebook-ai install --rule-set light-spec - -# Or create a persistent environment -uv venv -source .venv/bin/activate # On Windows: .venv\Scripts\activate -uv pip install -e . -rulebook-ai doctor # Check your setup -``` - -## Supercharge Your AI Coding Workflow Across Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot - -Tired of inconsistent AI behavior across different coding assistants? Struggling to maintain context and enforce best practices on complex projects? This template provides a robust, cross-platform framework designed to elevate your AI pair-programming experience. - -Leveraging established software engineering principles and a structured documentation system, this template ensures your AI assistants (like Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot) operate consistently, understand your project deeply, and follow optimal workflows. Move beyond simple prototypes and build sophisticated applications with AI partners that truly understand your project's architecture, requirements, and history. - -## Why Use This Template? - -* **Consistent AI Behavior:** Define clear workflows (Plan, Implement, Debug) and principles for your AI, ensuring predictable and high-quality output regardless of the platform used. -* **Persistent Project Memory:** Implement a structured documentation system (`docs/`, `tasks/`) that acts as a shared "memory bank," providing deep context to the AI about requirements, architecture, technical decisions, and progress. -* **Cross-Platform Compatibility:** Designed from the ground up to work seamlessly with Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot, respecting their specific rule-loading mechanisms. -* **Enforce Best Practices:** Integrate fundamental software engineering principles directly into the AI's instructions, promoting code quality, maintainability, and structured development. -* **Reduced Setup Time:** Get started quickly with a pre-configured structure and ruleset, adaptable to your specific project needs. -* **Optimized for Complex Projects:** The structured memory and workflow approach provides the necessary context and guidance for AI assistants working on more than just simple scripts or prototypes. - -## Who Is This For? - -This template is particularly beneficial for: - -* **Developers working on complex projects:** Requiring deep context and structured AI assistance beyond basic code generation. -* **Teams using multiple AI coding assistants:** Ensuring consistency in workflow and AI behavior across different tools. -* **Individuals seeking a more structured AI workflow:** Implementing proven software engineering practices for AI collaboration. -* **Researchers needing reproducible AI interactions:** Providing a stable framework for experiments. -* **Anyone looking to improve the quality and reliability of AI-generated code and documentation.** - -## Key Features (Benefits-Focused) - -1. **Work Seamlessly Across Platforms:** Native support and configuration guidance for Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot ensures your rules work consistently wherever you code. -2. **Maintain Consistent AI Context:** The structured "Memory Bank" (core documentation files) provides deep, persistent context, reducing repetitive explanations and improving AI understanding. -3. **Enforce Software Engineering Best Practices:** Guide your AI to follow established principles for planning, implementation, debugging, modularity, and testing. -4. **Optimize Token Usage:** Rules are organized to leverage platform-specific loading mechanisms (where available) to minimize unnecessary token consumption. -5. **Latest Compatibility:** Designed and tested with recent versions of the supported AI assistants. - -## Leveraging Your AI's Enhanced Brain: Example Interactions - -Once Rulebook-AI is set up with a chosen rule set (in `project_rules/`) and the memory bank (in `memory/`), you can interact with your AI coding assistant much more effectively. Here are a few crucial examples of how to leverage this enhanced context and guidance. Remember to use your AI assistant's specific syntax for referencing files (e.g., `@filename` in Cursor or Copilot). - -1. **Maintain Project Structure & Planning:** - * **Goal:** Use the AI to help keep your project documentation and task lists up-to-date. - * **Example Prompt (in your AI chat):** - ``` - Based on section 3.2 of @memory/docs/product_requirement_docs.md, create three new tasks in @memory/tasks/tasks_plan.md for the upcoming 'User Profile Redesign' feature. For each task, include a brief description, assign it a unique ID, and estimate its priority (High/Medium/Low). - ``` - * **Why this is important:** This demonstrates the AI actively participating in project management by updating the "memory bank" itself. It ensures your planning documents stay synchronized with insights derived from foundational requirements, turning the AI into a proactive assistant beyond just code generation. -2. **Retrieve Context-Specific Information Instantly:** - * **Goal:** Quickly access key project details without manually searching through documents. - * **Example Prompt (in your AI chat):** - ``` - What is the current status of task 'API-003' as listed in @memory/tasks/tasks_plan.md? Also, remind me which database technology we decided on according to @memory/docs/architecture.md. - ``` - * **Why this is important:** This highlights the power of the "persistent memory bank." The AI acts as a knowledgeable team member, capable of quickly recalling specific project decisions, technical details, and task statuses, significantly improving your workflow efficiency. -3. **Implement Features with Deep Context & Guided Workflow:** - * **Goal:** Guide the AI to develop code by following defined procedures and referencing precise project context. - * **Example Prompt (in your AI chat):** - ``` - Using the workflow defined in @project_rules/implement.md, please develop the `updateUserProfile` function. The detailed requirements for this function are specified under the 'User Profile Update' task in @memory/tasks/active_context.md. Ensure the implementation aligns with the API design guidelines found in @memory/docs/technical.md. - ``` - * **Why this is important:** This is the core development loop where Rulebook-AI shines. It shows the AI leveraging both the *procedural rules* (how to approach implementation, from `project_rules/ -`) and the rich *contextual memory* (what to implement and its surrounding technical landscape, from `memory/ -`). This leads to more accurate, consistent, and context-aware code generation, reducing rework and improving quality. - -These examples illustrate how providing structured rules and a persistent memory bank allows for more sophisticated and productive interactions with your AI coding assistant. Experiment with referencing different files from your `project_rules/ -` and `memory/ -` directories to best suit your workflow. - -## Quickstart: Using this Template for AI Coding - -This template repository serves as the central source for master rule sets. To use these rules in your own projects, you'll utilize the `src/rulebook_ai/cli.py` script (or rulebook-ai command with 'pip install -e .') provided within *this* repository. - -**Core Concepts:** - -* **Source Template Repo:** This repository, containing master rule sets (in `rule_sets/`), master memory bank starter documents (in `memory_starters/`), master tool starters (in `tool_starters/`), and the `src/rulebook_ai/cli.py` script (or rulebook-ai command with 'pip install -e .'). -* **Target Repo:** Your project repository (e.g., `~/git/my_cool_project`) where you want to use the rules. -* **Target Project Rules Directory:** A folder named **`project_rules/`** created *inside your Target Repo* by the `install` command. It holds the specific rule files for *your* project, copied from a chosen set in the Source Template Repo's `rule_sets/` directory. This folder is used by the `sync` command and **removed by the `clean-rules` command**. It is managed by the script, though you can version control it for manual backups if desired. -* **Target Memory Bank Directory:** A folder named **`memory/`** created *inside your Target Repo* during installation. It's populated with project-specific memory documents from the Source Template Repo's `memory_starters/` (new starter files are copied if they don't exist; existing files are **not** overwritten). **This folder should be version controlled in your Target Repo.** -* **Target Tools Directory:** A folder named **`tools/`** created *inside your Target Repo* during installation. It's populated with utility scripts or configurations from the Source Template Repo's `tool_starters/` (new starter files/subdirectories are copied if they don't exist; existing files/subdirectories are **not** overwritten). **This folder should be version controlled in your Target Repo.** -* **Target `env.example` and `requirements.txt`:** The `env.example` and `requirements.txt` files are copied from the Source Template Repo's root to *your Target Repo's root* during installation (non-destructively; existing files are preserved). **These files should be version controlled in your Target Repo.** -* **Target Platform Rules:** Generated, platform-specific rule directories/files (e.g., `.cursor/rules/`, `.clinerules/`, `.roo/`, `.kilocode/`, `.windsurf/rules/`, `WARP.md`, `.github/copilot-instructions.md`, `CLAUDE.md`, `AGENTS.md`, `.gemini/GEMINI.md`) created *inside your Target Repo* by the `sync` command using `project_rules/` as input. **These folders/files should be added to your Target Repo's `.gitignore` file.** - -**Workflow & Commands:** - -*(Run these commands from your terminal, inside your checked-out copy of **this** `rules_template` repository)* - -1. **List Available Rule Sets (Optional):** - * Use the `list-rules` command to see which rule sets are available for installation from this Source Template Repo. - * **Note:** The command also prints a link to the ratings & reviews wiki so you can read feedback before installing. - * **Command:** - ```bash - rulebook-ai list-rules - ``` - * **Action:** Scans the `rule_sets/` directory in this repository and lists all available rule set names. - -2. **Install Rules and Framework Components into Your Project:** - * Use the `install` command to copy a chosen rule set, memory starters, and tool starters from this repo into your target project, and then perform an initial sync. - * **NOTE** for windsurf user, after install rules, activate rules in GUI (see this [bug fix](https://github.com/botingw/rulebook-ai/issues/13#issuecomment-2911331241)) - * **Command:** - ```bash - # Syntax: rulebook-ai install [--rule-set ] - # Example (using default 'light-spec' rule set): - rulebook-ai install ~/git/my_cool_project - # Example (specifying a rule set): - rulebook-ai install ~/git/my_cool_project --rule-set heavy-spec - ``` - * **Action:** - * Copies the specified rule set (default: `light-spec`) from this repo's `rule_sets//` to `~/git/my_cool_project/project_rules/`. (Overwrites `project_rules/` if it exists, with a warning). - * Copies content from this repo's `memory_starters/` to `~/git/my_cool_project/memory/` (non-destructively; existing files are preserved). - * Copies content from this repo's `tool_starters/` to `~/git/my_cool_project/tools/` (non-destructively; existing files/subdirectories are preserved). - * Copies `env.example` and `requirements.txt` from this repo's root to `~/git/my_cool_project/` (non-destructively; existing files are preserved). - * Automatically runs the `sync` command to generate the initial Target Platform Rules (e.g., `.cursor/rules/`, `.clinerules/`, `.roo/`, `.kilocode/`, `.windsurf/rules/`, `WARP.md`, `.github/copilot-instructions.md`, `CLAUDE.md`, `AGENTS.md`, `.gemini/GEMINI.md`) inside `~/git/my_cool_project/` based on the new `project_rules/`. - * **Follow Up:** - * Add the generated directories/files (e.g., `.cursor/`, `.clinerules/`, `.roo/`, `.kilocode/`, `.windsurf/`, `WARP.md`, `.github/copilot-instructions.md`, `CLAUDE.md`, `AGENTS.md`, `.gemini/GEMINI.md`) to your target project's (`~/git/my_cool_project/`) `.gitignore`. - * Commit the newly created/updated `memory/`, `tools/`, `env.example`, and `requirements.txt` files/directories within your target project. - -# Sync (update) rules when rulebook-ai is updated -uvx rulebook-ai sync --rule-set light-spec --project-dir /path/to/your/project - -# List available rule sets -uvx rulebook-ai list-rules - -# Check your setup with the doctor command -uvx rulebook-ai doctor - -# Clean up rules -uvx rulebook-ai clean-rules --project-dir /path/to/your/project - -# Rate or review rule sets -uvx rulebook-ai rate-ruleset - -# Report a bug in rulebook-ai -uvx rulebook-ai bug-report -``` - -### Using a Virtual Environment - -For development or more persistent usage: - -```bash -# Create and activate a virtual environment -uv venv -source .venv/bin/activate # On Windows: .venv\Scripts\activate - -# Install rulebook-ai in development mode -uv pip install -e . - -# Now use the commands directly -rulebook-ai install --rule-set light-spec --project-dir /path/to/your/project -rulebook-ai sync --rule-set light-spec -rulebook-ai list-rules -``` - -### Start Coding with AI Assistants - -Once rules are installed, use your AI coding assistants (Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, etc.) in your target project. - -**Initial Prompt Suggestion (for setting up memory in a new project):** -> Using the project's custom rules, initialize the Memory Bank files (docs/, tasks/) based on the project's current state or initial requirements. Follow the structure and instructions defined in the rules for documenting project context. - -6. **Clean Up Rules (Preserving Memory & Tools):** - * To remove the generated Target Platform Rules and the `project_rules/` directory from your target project, while keeping your customized `memory/` and `tools/` directories intact, use the `clean-rules` command. - * **Command:** - ```bash - # Syntax: rulebook-ai clean-rules - # Example: - rulebook-ai clean-rules ~/git/my_cool_project - ``` - * **Action:** Removes `~/git/my_cool_project/project_rules/` and the generated rule directories/files (e.g., `.cursor/`, `.clinerules/`, `.roo/`, `.kilocode/`, `.windsurf/`, `WARP.md`, `.github/copilot-instructions.md`, `CLAUDE.md`, `AGENTS.md`, `.gemini/`). The `memory/` and `tools/` directories are **not** affected. +## The Problem: AI Assistants are Generic and Isolated -7. **Clean Up All Framework Components (Full Uninstall):** - * To completely remove *all* framework components (Target Platform Rules, `project_rules/`, `memory/`, `tools/`, `env.example`, and `requirements.txt`) from your target project, use the `clean-all` command. - * **Important:** This command will prompt for confirmation because it removes `memory/`, `tools/`, `env.example`, and `requirements.txt`, which may contain your project-specific customizations. - * **Command:** - ```bash - # Syntax: rulebook-ai clean-all - # Example: - rulebook-ai clean-all ~/git/my_cool_project - ``` - * **Action:** After confirmation, removes `project_rules/`, `memory/`, `tools/`, `env.example`, `requirements.txt`, and all generated rule directories/files (e.g., `.cursor/`, `.clinerules/`, `.roo/`, `.kilocode/`, `.windsurf/`, `WARP.md`, `.github/copilot-instructions.md`, `CLAUDE.md`, `AGENTS.md`, `.gemini/`) from `~/git/my_cool_project/`. +AI coding assistants are powerful, but they operate in a vacuum. +1. **They are forgetful:** They have no long-term memory of your project's specific architecture, libraries, or goals. +2. **They are inconsistent:** Instructions you give to `Cursor` don't work in `Gemini`, and your `Copilot` context is siloed. +3. **They are unspecialized:** An AI's general knowledge is not enough for expert-level tasks. A great "React developer" AI needs different rules, context, and tools than a great "DevOps engineer" AI. -### Environment Setup (Using Conda) +## The Solution: Portable and Composable AI Environments -Before running the tools described in the rules, set up the Conda environment: +`rulebook-ai` solves this by treating an AI's entire operational context as a portable **Environment** that you can manage like code. An Environment consists of three parts: +* **Rules:** The AI's operating instructions and workflows. +* **Context:** A persistent knowledge base (your project's "memory"). +* **Tools:** Helper scripts the AI can use to perform tasks. -1. **Create the environment:** - ```bash - conda create -n rules_template python=3.11 -y - ``` - *(Ensure you have Conda installed. We recommend Python 3.11, but adjust if needed.)* +These environments are packaged into versionable, shareable **Packs**. -2. **Activate the environment:** - ```bash - conda activate rules_template - ``` - *(You'll need to activate this environment in any terminal session where you intend to run the tools.)* +### Why `rulebook-ai` is the Answer -3. **Install dependencies:** - ```bash - pip install -r requirements.txt - ``` +| Value Proposition | How `rulebook-ai` Delivers | +| ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **Portability Across Assistants** | Define an environment once in a universal **Pack**. The `project sync` command automatically translates and deploys it to any supported AI (Cursor, Gemini, Copilot, etc.). Use the best AI for the job without losing context. | +| **Deep Specialization for Any Task** | Create or use packs for specific roles (**Product Manager, DevOps**) or technologies (**React, AWS, Data Science**). Instantly "onboard" your AI with the expert knowledge and tools it needs for the task at hand. | +| **Composable & Versionable Context** | Treat your AI's environment as code. Mix and match packs to build the perfect setup for any project. Use **Profiles** (named groups of packs) to instantly switch between entire configurations. | +| **Community-Driven Expertise** | Don't reinvent the wheel. `rulebook-ai` is a platform for a community of experts to build and share packs, creating a public library of best practices for AI-assisted development. | +| **Clean & Predictable Workspace** | The tool cleanly separates your user-owned content (`memory/`, `tools/`) from framework-managed artifacts (`.rulebook-ai/`, generated rules), keeping your project tidy and predictable. | +| **Total Control Over Sources** | Go beyond the public index. Add packs directly from any GitHub repo (`github:`) or develop and test them from your local filesystem (`local:`). You have a secure path for private packs and a seamless workflow for creating new ones. | -4. **Install playwright:** - ```bash - playwright install - ``` -5. **Configure your environment:** - ```bash - - Setup your API keys in `.env` (optional, check out rules_template/light-spec/01-rules/06-rules_v1.md for API tool context) - -With the environment set up and activated, you can run the Python tools as described in the rules files (e.g., `python tools/llm_api.py ...`). - -## Rule Loading Summary (Based on Official Docs & Template Implementation) -For detail, go to [rule_loading_summary.md](memory/docs/user_guide/rule_loading_summary.md) - -# Tips in General Using Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot: -## CLINE/RooCode: -1. Every time you change Roo Code **mode** in the middle of an task, it changes the system prompt and reset the prompt caching. - -# The Rules Template: Universal Rules for AI Coding Assistants 🔥 - -This template provides a robust and adaptable framework of rules designed to enhance the performance of AI coding assistants like Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot. Rooted in established software engineering principles and documentation best practices, it ensures consistent and effective AI-assisted development across different platforms. - -For detail, go to [rule_template.md](memory/docs/user_guide/rule_template.md) - -# Rule Files: - -This template relies on a carefully orchestrated system of directories and files for Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, and Github Copilot. These components work together to provide a consistent and context-aware experience with your AI assistant. The **'rule' files** (e.g., `plan.md`, `implement.md`, `debug.md` found within a chosen rule set like `light-spec/`) are designed to define *how your AI should approach tasks*. They dictate specific workflows for planning, coding, or debugging, rooted in software engineering best practices. These rules guide the AI's *process* and operational methodology. The **'memory' files** and the `memory/ -` directory structure (populated from `memory_starters/ -` during installation) are designed to provide the AI with *persistent, structured knowledge about your specific project*. This includes its requirements (@`memory/docs/product_requirement_docs.md`), architecture (@`memory/docs/architecture.md`), ongoing tasks (@`memory/tasks/tasks_plan.md`), and learned information. This forms the AI's *contextual understanding* and long-term project "memory." Within each environment, there are crucial files that shape how the AI operates: - -1. rules – - Thois can house generic rules. Bring your own flavour to this minimal document. Below are three files: (a) plan, (b) implement, (c) debug, that defines workflows for these three tasks based on refining 100s of rule repositories and software engineering best practices: - -2. plan – Defines the Workflow to be followed for any Planning based on *chain of thinking*. includes **exhaustive searching and optimal plan, rigourous reasoning and user validation**. -3. implement - Defines the Workflow to be followed for any Implementation. inspired by concepts like **seperation of concerns, modular design, and incremental development**. Has testing mandatory after every significant implementation. -4. debug - This file defines rules for debugging when stuck in a loop or a hard debugging. Supports looking at the web and for previously solved errors too. -5. memory – - Next comes the recommended documentation. Software documentation starts with PRDs Recording the requirements, architecture plan, technical plan, and the RFCs for individual functionality or group of functionalities. -So our documentation that also served as a context is very relevant for an AI cod as it has mostly the knowledge and the skills to work on and with these proper software documentations. -6. directory-structure (directory-structure) – - This is a very simple file stating the directory structure so that all parts of a project development is covered like : (a) code, (b) test, (c) configurations, (d) data, (e) project rules, etc separately and in modular approach. - -In Cursor , these three files reside in .cursor/rules: +## Quick Start with `uvx` ```bash -.cursor/rules/rules.mdc -.cursor/rules/plan.mdc -.cursor/rules/implement.mdc -.cursor/rules/debug.mdc -.cursor/rules/memory.mdc -.cursor/rules/directory-structure.mdc -``` -In **CLINE**, this template uses the `clinerules/` directory for files intended for AI guidance (via `.clinerules`) or manual copy-paste into UI settings: -```bash -clinerules/ -├── plan -├── implement -└── debug -# Plus the .clinerules file at the root for general project rules & AI mode guidance. -``` -For **RooCode**, the *correct* structure (which this template needs to adopt - See To-Do #1) would be: -```bash -.roo/ -├── rules/ # Workspace-wide rules (e.g., memory, dir-structure) -│ └── ... -├── rules-architect/ # Mode-specific rules (e.g., plan) -│ └── ... -├── rules-code/ # Mode-specific rules (e.g., implement) -│ └── ... -└── rules-debug/ # Mode-specific rules (e.g., debug) - └── ... -``` -For **Windsurf**, rules are generated in the `.windsurf/rules/` directory, with each rule as a separate `.md` file. -```bash -.windsurf/rules/ -├── 01-example-rule.md -└── 02-another-rule.md -``` - -## Key Files and Concepts - -This template is organized around three core files, each addressing a critical aspect of the development process: - -### 1. Plan/Implement/Debug: Systematic Workflow for Tasks - -The `rules` files (located in `clinerules/rules` and `cursor/rules/rules.mdc`) define a structured, five-phased workflow for approaching any development task, regardless of granularity. This workflow is based on standard software engineering best practices and promotes a systematic approach to problem-solving. - -**Five-Phased Workflow:** - -**(i) Requirements and Clarifications:** +# 1. Install uv if you don't have it yet +curl -fsSL https://astral.sh/uv/install.sh | bash - it starts with making the requirements very clear and asking as much clarification as possible in the beginning. This is always the first task software development. Where all the requirements are made as precise and verbose as possible so as to save Time and effort later in redoing. Plus anticipate Major bottlenecks ahead of any work. +# 2. Add a pack to your project (e.g., the light-spec starter pack) +uvx rulebook-ai packs add light-spec -**(ii) Exhaustive Searching and Optimal Plan:** - exhaustive searching and optimal plan: search all possible directions in which the problem can be solved. And find out the optimal solution, which can be also a amalgamation of many different approaches. And reason rigourously, why the chosen approach is optimal. +# 3. Sync the environment to your workspace +uvx rulebook-ai project sync +``` +This will create a `.rulebook-ai` directory to manage state, and populate `memory/` and `tools/` with starters. It also generates the assistant-specific rule files (e.g., `.cursor/rules/`, `GEMINI.md`). -**(iii) User Validation:** +For a more detailed walkthrough of all features, see the [Step-by-Step Tutorial](memory/docs/user_guide/tutorial.md). - validate the developed optimal plan with the user clearly stating the assumptions and design decisions made, and the reasons for them. +## How It Works: The Pack System -**(iv) Implementation:** +The core of `rulebook-ai` is a simple, powerful workflow: - implement proposed plan in an iterative way, taking one functionality at a time, testing it exhaustively with all the cases. And then building the next functionality. In this way to make the system, robust and incremental. +1. **Add Packs:** You add one or more `Packs` to your project's library. A pack can be built-in, from the community, or from your own local directory. +2. **Sync Project:** You run `rulebook-ai project sync`. The tool reads your selected packs, copies over any starter `memory/` and `tools/`, and generates the final rule files in the correct format for each AI assistant you use. -**(v) Further Suggestions:** +This workflow ensures your project's "AI Environment" is explicit, versionable, and easy to manage. - after implementation, suggesting possible optimisation to be done or possible, additional features for security or functionality to be added. +## Your First Environment: The Built-in Packs -So this five phased approach, is for a software life-cycle. But this can be applied for any grnuarlity, like entire project or a single functionality. For example, very clearly recording the requirement for the functionality and asking clarifying questions is as good for a single small functionality as for a program. -So this five phased, solution strategy workflow is to be followed at every part of development. +`rulebook-ai` comes with a few packs to get you started immediately. The `light-spec` pack is the recommended starting point for any new project. -### 2. Memory: Persistent Project Documentation +* **`light-spec`**: + * **Benefit:** Installs a foundational software development lifecycle environment. It teaches your AI to think like a junior developer, following systematic processes for planning, coding, and debugging. It also provides starter templates for your project's documentation (`memory/`). + * **Target Users:** Everyone. It's the ideal first pack to add to any project. -The `memory` files (located in `clinerules/memory` and `cursor/rules/memory.mdc`) establish a robust documentation system that serves as persistent memory for the project and the AI assistant. This system is inspired by standard software development documentation practices, including PRDs, architecture plans, technical specifications, and RFCs. So, keeping these software life-cycle documentation is as focus. We develop our memory bank to have these document in sync to provide the complete context for the project. We have few additional files for current context and task plan in tasks/. +* **`medium-spec` & `heavy-spec`**: + * **Benefit:** These provide more verbose rules and stricter guardrails, perfect for when you need the AI to be more cautious and detailed, such as during a complex code review or refactoring. + * **Target Users:** Developers who want more explicit guidance and checks from their AI assistant. -**Memory Files Structure:** +## Project Structure after Sync -The memory system is structured into Core Files (required) and Context Files (optional), forming a hierarchical knowledge base for the project. ```mermaid flowchart TD - PRD[product_requirement_docs.md] --> TECH[technical.md] - PRD --> ARCH[docs/architecture.md] - - ARCH --> TASKS[tasks/tasks_plan.md] - TECH --> TASKS - PRD --> TASKS + A[Your Project] --> D[... your other files]; - TASKS --> ACTIVE[tasks/active_context.md] + A --> E[memory/]; + A --> F[tools/]; - ACTIVE --> ERROR[.cursor/rules/error-documentation.mdc] - ACTIVE --> LEARN[.cursor/rules/lessons-learned.mdc] + A --> I[/.rulebook-ai/]; + A --> J[/.cursor/]; + A --> K[... other generated rules]; - subgraph LIT[docs/literature] - L1[Research 1] - L2[Research 2] - end - subgraph RFC[tasks/rfc] - R1[RFC 1] - R2[RFC 2] + subgraph "Version Control (git)" + direction LR + subgraph "Commit These (Your Environment)" + E & F + end + subgraph "Ignore These (Generated Artifacts)" + I & J & K + end end - TECH --o LIT - TASKS --o RFC + style E fill:#cde4f9,stroke:#8ab4e2 + style F fill:#cde4f9,stroke:#8ab4e2 + style I fill:#f9d4c3,stroke:#e2a48a + style J fill:#f9d4c3,stroke:#e2a48a + style K fill:#f9d4c3,stroke:#e2a48a ``` -**Core Files (Required):** - -1. **`product_requirement_docs.md` (docs/product_requirement_docs.md):** Product Requirement Document (PRD) or Standard Operating Procedure (SOP). - - Defines the project's purpose, problems it solves, core requirements, and goals. - - Serves as the foundational document and source of truth for project scope. - - Product Requirement Documents (PRDs) are foundational blueprints in software development, defining what a product should achieve and guiding teams to align on scope, features, and objectives . - -2. **`architecture.md` (docs/architecture.md):** System Architecture Document. - - Outlines the system's design, component relationships, and dependencies. - - Software architecture documentation is a blueprint that captures design decisions, component interactions, and non-functional requirements. - -3. **`technical.md` (docs/technical.md):** Technical Specifications Document. - - Details the development environment, technologies used, key technical decisions, design patterns, and technical constraints. - -4. **`tasks_plan.md` (tasks/tasks_plan.md):** Task Backlog and Project Progress Tracker. - - Provides an in-depth list of tasks, tracks project progress, current status, and known issues. - -5. **`active_context.md` (tasks/active_context.md):** Active Development Context. - - Captures the current focus of development, active decisions, recent changes, and next steps. - -6. **`error-documentation.mdc` (.cursor/rules/error-documentation.mdc):** Error Documentation. - - Documents reusable fixes for mistakes and corrections, serving as a knowledge base of known issues and resolutions. - -7. **`lessons-learned.mdc` (.cursor/rules/lessons-learned.mdc):** Lessons Learned Journal. - - A project-specific learning journal that captures patterns, preferences, and project intelligence for continuous improvement. - -**Context Files (Optional):** - -**NOTE**: I use LATEX, but you can use .md or any other format. -1. **`docs/literature/`:** Literature Survey and Research Directory. - - Contains research papers and literature surveys in LaTeX format (`docs/literature/*.tex`). - -2. **`tasks/rfc/`:** Request for Comments (RFC) Directory. - - Stores RFCs for individual tasks in LaTeX format (`tasks/rfc/*.tex`), providing detailed specifications and discussions for specific functionalities. - -**Additional Context:** - -Further files and folders can be added within `docs/` or `tasks/` to organize supplementary documentation such as integration specifications, testing strategies, and deployment procedures. - -### 3. Directory Structure: Modular Project Organization - -The `directory-structure` files (located in `clinerules/directory-structure` and `cursor/rules/directory-structure.mdc`) define a clear and modular directory structure to organize project files logically. This structure promotes separation of concerns and enhances project maintainability. This is a very simple file stating the directory structure so that all parts of a project development is covered like : (a) code, (b) test, (c) configurations, (d) data, e.g. project rules, etc separately and in modular approach. - -**Directory Structure Diagram:** - -```mermaid -flowchart TD - Root[Project Root] - Root --> Docs[docs/] - Root --> Tasks[tasks/] - Root --> Cursor[.cursor/rules/] - Root --> CLINE[.clinerules] - Root --> SourceCode[src/] - Root --> Test[test/] - Root --> Utils[utils/] - Root --> Config[config/] - Root --> Data[data/] - Root --> Other[Other Directories] -``` - -This structure ensures that different aspects of the project, such as code, tests, configurations, and documentation, are kept separate and well-organized. - -## Advantages of Using the Rules Template - -1. **Cross-Platform Compatibility:** Usable seamlessly with Cursor, CLINE, Claude Code, Codex CLI, Gemini CLI, Kilo Code, RooCode, Warp, Windsurf, Github Copilot, and other AI coding assistants. -2. **Context Sharing:** Enables context sharing and consistent workflows across different AI assistants, facilitating collaborative and platform-agnostic development. -3. **Up-to-Date Compatibility:** Designed to be compatible with the latest versions of Cursor and CLINE, ensuring long-term usability. -4. **Automated Documentation Generation:** Provides the foundation for automatically generating comprehensive project documentation in PDF format, streamlining documentation efforts. -5. **Amalgamation of Memory and Custom Prompts:** Combines the benefits of persistent project memory with customizable prompts (like `.clinerules/.cursorrules`) for a balanced approach to AI-assisted coding. -6. **Foundation in Software Engineering Principles:** Built upon established software engineering and documentation best practices, ensuring a robust and reliable framework. -7. **Precise Control and Flexibility:** Strikes a balance between providing precise guidance to LLMs and allowing for exploration and adaptability in problem-solving. -8. **Adaptation of Traditional Software Engineering:** Bridges the gap between traditional software engineering methodologies and modern AI-assisted development. -9. **Potential for Auto-Evolving Rules:** Opens up possibilities for AI-driven rule evolution and refinement, allowing the template to adapt and improve over time. - -By adhering to the principles and structure outlined in this Rules Template, development teams can leverage AI coding assistants more effectively, ensuring consistency, quality, and maintainability across their projects. +- **Your Environment (`memory/`, `tools/`):** This is your project's unique context. You own it, you edit it, and you commit it to version control. +- **Generated Artifacts (`.rulebook-ai/`, `.cursor/`, etc.):** These are managed by the CLI. They should be added to `.gitignore` as they can be regenerated at any time. -## Additional Notes: +## Contributing -1. **Product Requirements Documents (PRDs):** PRDs serve multiple purposes: defining product scope and goals, aligning stakeholders across teams, and mitigating risks early in development. They offer significant utility by providing clarity on product vision, prioritizing features, ensuring quality, and enabling traceability throughout the development lifecycle . While traditionally detailed in Waterfall, PRDs are adapted for Agile methodologies as leaner, iterative documents. Related documents include Market Requirements Documents (MRDs) and Functional Requirements Documents (FRDs). -2. **Architecture Documentation:** It serves to preserve design rationale, support scalability, and facilitate decision-making. Key benefits include improved knowledge sharing, risk mitigation, and stakeholder communication. Types of architecture documentation vary, including decision-centric ADRs, structural C4 model diagrams, and behavioral sequence diagrams. Frameworks like arc42 provide structured templates for comprehensive architecture documentation. -3. **Technical Specifications:** Technical Specifications Documents (TSDs) serve as blueprints translating business needs into technical guidelines. They clarify project vision, bridge stakeholder communication, and mitigate risks. TSDs are highly useful for engineers as step-by-step guides, for teams as alignment tools, and for projects in ensuring accountability. Technical documentation broadly includes process documentation (user manuals, API docs), and specialized specs for IT or Agile projects. A robust TSD enhances project clarity and reduces failure risks associated with unclear requirements. -4. **RFCs (Request for Comments):** Request for Comments (RFCs) are structured proposals for technical decision-making and standardization. They document technical specifications, solicit feedback, and preserve institutional knowledge. RFCs enhance utility by reducing silos, mitigating risks, and ensuring decision traceability. Types range from standards-track protocol specifications to organizational RFCs for team-specific designs. Modern RFCs often include problem statements, proposed solutions, alternatives, rollout plans, and security impact assessments. While RFCs improve decision quality, they also pose challenges like time overhead and consensus bottlenecks. \ No newline at end of file +This project thrives on community contributions. You can contribute by: +- **Creating and Sharing Packs:** Got a great set of rules and tools for a specific framework or role? Package it up and share it! See the [Pack Developer Guide](memory/docs/features/community_packs/pack_developer_guide.md). +- **Reporting Bugs or Ideas:** Open an **Issue** in the repo. The `rulebook-ai bug-report` command will take you there. \ No newline at end of file diff --git a/memory/docs/features/community_packs/ADR-001_Pack_Naming_and_Index_Cache.md b/memory/docs/features/community_packs/ADR-001_Pack_Naming_and_Index_Cache.md new file mode 100644 index 0000000..1e96e87 --- /dev/null +++ b/memory/docs/features/community_packs/ADR-001_Pack_Naming_and_Index_Cache.md @@ -0,0 +1,36 @@ +# ADR-001: Community Pack Naming and Index Cache Strategy + +## Status + +Accepted + +## Context + +Community packs allow third-party `Rule Packs` to be installed via the `rulebook-ai` CLI. Because packs are copied into `.rulebook-ai/packs/`, two challenges arise: + +1. **Name collisions**: Different repositories may publish packs with the same `manifest.yaml` `name`. +2. **Shared discovery data**: The CLI needs an index of available community packs, and this index should be available across all user projects. + +## Decision + +* **Global name enforcement (alias deferred)** + * The `manifest.yaml` `name` is treated as a globally unique identifier. + * If an unlisted pack's `name` conflicts with an existing local pack, the CLI aborts and no alias is offered in the MVP. + * Installed packs use this `name` as the directory under `.rulebook-ai/packs/`. The source slug, decomposed as `username/repo[/path]`, is recorded in metadata for traceability. + +* **Shared Local Index Cache** + * The community index `packs.json` is cached inside the installed Python package under `rulebook_ai/community/index_cache/packs.json`. + * The `rulebook-ai packs update` command refreshes this cache. Because it lives in the package directory, all repositories on the same machine share a single copy. + +## Consequences + +* Users can keep working with short, memorable pack names while avoiding accidental overwrites. +* Conflicting names result in an error until upstream naming is resolved, keeping behavior predictable. +* A single Local Index Cache avoids repeated downloads and keeps different projects in sync. +* Future features (e.g., alias support, per-repo caches, or namespace support) can build on this foundation without breaking the MVP design. + +## Alternatives Considered + +* **Installing packs by slug** – This avoids collisions but forces users to remember long identifiers. Rejected for poorer user experience. +* **Per-repository index cache** – Would duplicate data and require each project to update separately. Rejected to keep MVP simple and predictable. + diff --git a/memory/docs/features/community_packs/TDD_plan.md b/memory/docs/features/community_packs/TDD_plan.md new file mode 100644 index 0000000..41b6870 --- /dev/null +++ b/memory/docs/features/community_packs/TDD_plan.md @@ -0,0 +1,47 @@ +# TDD Plan: Community Pack Ecosystem + +This document outlines the test strategy for introducing community-maintained rule packs. + +## Test Strategy & Environment + +- **Test Type**: The tests for this feature are primarily **`integration tests`**. They verify the integration of the `rulebook-ai` CLI with external systems like the local filesystem and the `Git` version control system. +- **Test Dependencies**: + - To test the `packs add ` functionality, tests will rely on local mock `Git` repositories created under the `tests/fixtures/` directory. This approach ensures tests are fast, reliable, and independent of network connectivity. + - To test the `packs update` functionality, tests will use a local mock `packs.json` index file, rather than fetching from a live production URL. + +--- + +## Phase 1: Core Engine (Add by Source) +- [x] `test_add_pack_by_github_slug_installs_to_folder`: installing `github:username/repo` places files under `.rulebook-ai/packs/`. +- [x] `test_add_pack_by_local_path_installs_to_folder`: installing `local:path/to/pack` places files under `.rulebook-ai/packs/`. +- [x] `test_add_pack_conflicting_name_fails`: adding a pack whose `manifest.yaml` `name` already exists aborts. +- [x] `test_add_pack_invalid_structure_fails`: missing required files triggers validation error. +- [x] `test_add_pack_user_decline_aborts`: user choosing "no" cancels installation for remote packs. +- [x] `test_add_pack_by_github_slug_installs_to_folder`: installing `github:username/repo` places files under `.rulebook-ai/packs/`. +- [x] `test_add_pack_by_local_path_installs_to_folder`: installing `local:path/to/pack` places files under `.rulebook-ai/packs/`. +- [x] `test_add_pack_conflicting_name_fails`: adding a pack whose `manifest.yaml` `name` already exists aborts. +- [x] `test_add_pack_invalid_structure_fails`: missing required files triggers validation error. +- [x] `test_add_pack_user_decline_aborts`: user choosing "no" cancels installation for remote packs. +- [x] `test_add_pack_by_github_slug_installs_to_folder`: installing `github:username/repo` places files under `.rulebook-ai/packs/`. +- [x] `test_add_pack_by_local_path_installs_to_folder`: installing `local:path/to/pack` places files under `.rulebook-ai/packs/`. +- [x] `test_add_pack_conflicting_name_fails`: adding a pack whose `manifest.yaml` `name` already exists aborts. +- [x] `test_add_pack_invalid_structure_fails`: missing required files triggers validation error. +- [x] `test_add_pack_user_decline_aborts`: user choosing "no" cancels installation for remote packs. + +## Phase 2: Community Index +- [x] `test_packs_update_refreshes_cache`: `packs update` replaces `rulebook_ai/community/index_cache/packs.json` when fetch succeeds. +- [x] `test_packs_update_invalid_json_retains_old_cache`: malformed index leaves previous cache untouched. +- [x] `test_add_pack_by_name_uses_cache`: installing by `name` pulls metadata from the cache and clones the correct repository. +- [x] `test_add_unknown_pack_name_fails`: unknown `name` emits "pack not found" error. +- [x] `test_installed_pack_records_slug_metadata`: installed pack stores slug metadata and shows `(community)` in `packs list`. +- [x] `test_add_pack_name_mismatch_fails`: manifest `name` differing from index entry aborts install. + +## Phase 3: Listing and Visibility +- [x] `test_packs_list_shows_builtin_and_community`: output merges built-in packs with entries from the cache and labels community packs. +- [x] `test_packs_list_does_not_hit_network`: running `packs list` uses only local data. + +## Phase 4: Ecosystem Infrastructure +Tests in this phase run inside the separate public index repository's CI. + +- [ ] `test_index_ci_validation_checks_name_alignment`: CI workflow rejects pull requests when `manifest.yaml` `name` differs from index entry. +- [ ] `test_index_ci_validation_detects_missing_files`: CI workflow fails when repository lacks required structure. diff --git a/memory/docs/features/community_packs/implementation_plan.md b/memory/docs/features/community_packs/implementation_plan.md new file mode 100644 index 0000000..8a5ac01 --- /dev/null +++ b/memory/docs/features/community_packs/implementation_plan.md @@ -0,0 +1,96 @@ +# Implementation Plan: Community Pack Ecosystem + +### Guiding Principle + +The most fundamental action is **installing a single, known pack from a direct source**. Everything else—discovery, listing, updating an index—is a layer of abstraction on top of that core capability. + +--- + +### Phase 1: The Core Engine - Installing a Pack by Direct URL + +**Objective:** To create a robust, secure mechanism for adding a single pack from a specified Git repository. This phase completely ignores the community index. + +1. **Task: Implement the "Add by Slug" Logic** + * Modify the `packs add` command to recognize a GitHub slug (e.g., `username/repository` or `username/repository/path`). + * Parse the slug to determine the repository URL. + +2. **Task: Develop the Secure Fetch-and-Validate Workflow** + * Create a function that, given a repository URL: + a. Clones the repository's default branch into a secure, temporary directory. + b. **Validates** the contents of the temporary directory against the `pack_developer_guide.md` (e.g., `manifest.yaml` and `rules/` exist). + c. **Verifies Identity:** Parses the `manifest.yaml` and confirms its `name` is valid, not reserved by built-in packs, and not already installed from a different source. + d. **Returns** the validated pack's temporary path or throws an error. + e. **Reusable Validation:** expose the structure/name checks as a helper so the index CI can import the same logic. + * *Testing Note: This workflow will be verified via `integration tests` using local mock Git repositories created under `tests/fixtures/`.* + +3. **Task: Implement User Confirmation and Installation** + * If validation succeeds, present a clear warning to the user that they are installing un‑audited code from a direct URL. + * Require explicit user confirmation (`y/n`). + * Before moving files, check whether `.rulebook-ai/packs/` already exists; abort if it comes from a different source. + * Upon confirmation, move the pack from the temporary directory into `.rulebook-ai/packs/`. + * Ensure the temporary directory is always cleaned up, especially on error. + +4. **Task: Persist Source Metadata** + * After installation, record the pack's slug and commit hash in `pack.json` and in `.rulebook-ai/selection.json` so future commands can trace provenance. + +**Outcome of Phase 1:** A user can reliably and securely install any compatible pack if they know its GitHub URL slug (e.g., `rulebook-ai packs add my-org/my-cool-pack`). + +--- + +### Phase 2: The Discovery Layer - The Community Index + +**Objective:** To introduce the concept of a community index that users can refresh, enabling installation by name instead of by URL. + +1. **Task: Implement the Local Cache** + * Store the local index cache inside the Python package at `rulebook_ai/community/index_cache/packs.json` so all repositories share one updated index. + * Create functions to read from and write to this cache file. + +2. **Task: Implement the `packs update` Command** + * This is the only command that will access the network for the index. + * Fetch the `packs.json` from the hardcoded official Index Repository URL. + * Validate the JSON structure and required fields. + * Retry the fetch once on failure; if it still fails or validation fails, retain the previous cache and surface a clear error message. + +3. **Task: Enhance `packs add` to Use the Index** + * Update the command's logic: + a. First, check if the given `` is a slug. If so, use the Phase 1 workflow. + b. If not a slug, search for a pack with a matching `name` in the local index cache. + c. If found, use the `repo`, `commit`, or `tag` from the index entry to fuel the secure fetch-and-validate workflow from Phase 1. + d. Abort if the resolved `name` already exists locally from a different source. + e. Adjust warning messages based on whether the pack is pinned to a commit or tag, warning that unpinned installs may change unexpectedly. + +**Outcome of Phase 2:** A user can run `packs update` to discover new packs and then install them by their simple name (e.g., `rulebook-ai packs add python-pro-pack`). + +--- + +### Phase 3: The UI Layer - Listing and Visibility + +**Objective:** To provide users with a clear, unified view of all packs available to them. + +1. **Task: Implement Built-in Pack Discovery** + * Create a mechanism for the CLI to be aware of its own bundled, built-in packs. + +2. **Task: Implement the `packs list` Command** + * This command will **not** access the network. + * It will read the list of built-in packs. + * It will read the list of community packs from the local cache (from Phase 2). + * It will present a single, merged list to the user, clearly distinguishing between `(built-in)` and `(community)` packs and showing metadata like the summary. + +**Outcome of Phase 3:** A user can run `packs list` to see all installable packs from all sources at a glance. + +--- + +### Phase 4: The Ecosystem - Contributor Tooling + +**Objective:** To set up the external infrastructure needed for the community to thrive. + +1. **Task: Create the Public Index GitHub Repository** + * This codebase ships a template under `community-index/` containing `packs.json`, `README.md`, and `CONTRIBUTING.md`. + * To publish it, run `git init`, commit the files, and push to a new public GitHub repository (e.g., `rulebook-ai-community/index`). + +2. **Task: Implement the CI Validation Workflow** + * The template includes `.github/workflows/validate.yml` and `scripts/validate_index.py`. + * The workflow runs on pull requests and clones each referenced pack to verify required files and `manifest.yaml` name alignment. + +**Outcome of Phase 4:** The community has a place to submit packs and a clear, automated process for validating their submissions, completing the ecosystem loop. +ing the ecosystem loop. diff --git a/memory/docs/features/community_packs/pack_developer_guide.md b/memory/docs/features/community_packs/pack_developer_guide.md new file mode 100644 index 0000000..f4a5e45 --- /dev/null +++ b/memory/docs/features/community_packs/pack_developer_guide.md @@ -0,0 +1,154 @@ +# The Easy Way to Get Started: Use the Authoring Guide Pack + +While this document contains the full technical specification for creating a pack, the easiest way to get started is to use `rulebook-ai` itself. + +We have created a special pack, `pack-authoring-guide`, that turns your AI assistant into an expert on the **pack structure and publishing process**. It loads the AI's context with all the specifications, checklists, and validation tools needed to guide you. + +**This pack's specialty is helping you convert your existing rules, context, and tools into a valid, shareable pack.** It is not designed to be an expert on prompt engineering or tool design itself. + +**We strongly recommend this approach for all new contributors.** + +### Quick Start for Pack Authoring + +1. **Add the guide pack to any project:** + ```bash + rulebook-ai packs add pack-authoring-guide + ``` + +2. **Sync it to your workspace:** + ```bash + rulebook-ai project sync --pack pack-authoring-guide + ``` + +3. **Start converting with your AI:** + You can now ask your AI for help packaging your existing materials. For example: + > *"Hey AI, I have a folder of markdown files with my rules and some Python scripts I use as tools. Using the `pack-authoring-guide` context, help me convert them into a valid `rulebook-ai` pack. Where should I start?"* + +This interactive workflow is much smoother and less error-prone than reading the specification manually. + +--- +
+ +# Rulebook-AI Pack Developer Guide (The Specification) + +A Rulebook-AI Pack is a self-contained directory that bundles rules, starter files, and metadata. The purpose of this guide is to provide a specification so clear that a developer or an AI assistant can read it and correctly structure a rule pack that is universally compatible with `rulebook-ai`. + +For the canonical requirements on folder layout and naming, consult `../manage_rules/pack_structure_spec.md`. This guide distills that specification into practical advice and examples. + +### Pack Structure + +A valid pack must adhere to the following structure. This example shows a comprehensive layout that correctly targets all supported assistant types. + +``` +my-awesome-pack/ +├── manifest.yaml # (Required) Metadata for the pack. +├── README.md # (Required) Description, usage, and philosophy of the pack. +├── rules/ # (Required) The "universal source" for AI assistant rules. +│ ├── 01-rules/ # Maps to the default 'rules' folder for mode-based assistants. +│ │ ├── 00-meta.md +│ │ └── 01-principles.md +│ ├── 02-rules-architect/ # Maps to the 'rules-architect' folder. +│ │ └── 01-planning.md +│ └── 03-rules-code/ # Maps to the 'rules-code' folder. +│ └── 01-coding.md +├── memory_starters/ # (Optional) Starter files for the user's `memory/` directory. +│ └── docs/ +│ └── new-feature-template.md +└── tool_starters/ # (Optional) Starter scripts for the user's `tools/` directory. + └── my-custom-script.py +``` + +The root of a pack may contain **only** the items shown above: `manifest.yaml`, `README.md`, `rules/`, and the optional `memory_starters/` and `tool_starters/`. **No other files or directories are permitted at the root.** Any extra files or directories (such as for tests, examples, or documentation) are a direct violation of the pack structure and **will cause validation to fail**. Such content must be placed inside one of the standard directories, for example `memory_starters/docs/`. + + +### `manifest.yaml` (Required) + +This file contains essential metadata for the pack. + +**Required Fields:** +* `name` (string): A globally unique, machine-friendly slug for the pack (e.g., `My-Awesome-Pack`). Letters, digits, and dashes are allowed (`^[A-Za-z0-9-]+). +* `version` (string): The version of the pack, preferably using Semantic Versioning (e.g., `1.0.0`). +* `summary` (string): A brief, one-sentence description of the pack's purpose. + +The `name` field becomes the installation directory inside `.rulebook-ai/packs/`. To avoid conflicts, choose a name that is not used by built-in packs or other community packs. The CLI aborts installation if an existing pack with the same `name` comes from a different source. + +### Directory Specifications + +* **`rules/` (Required)** + This is the most important directory. Its structure is designed to be a "universal source" that can generate rules for all supported AI assistants. The `sync` command uses a single, consistent logic to process this directory. + + **Key requirements (see `../manage_rules/pack_structure_spec.md`):** + - At least one numbered rules directory is required. If a generic directory is used, it **must** be named `01-rules` so general rules load first. + - Each child directory name must follow `NN-rules` or `NN-rules-{mode}` and contain at least one rule file named `NN-.md`. + - Numeric prefixes are mandatory, zero-padded, and **must be unique** within each directory to enforce deterministic ordering. + - Rule files must be UTF-8 encoded Markdown using the `.md` extension. Directory and file names may not start with `.`. + - Mode names after `rules-` must match supported values (see `../manage_rules/platform_rules_spec.md`). + + **Flexibility:** You are not required to provide all types of subdirectories. A pack can contain only general rules (e.g., a `01-rules` folder), only mode-specific rules (e.g., `02-rules-code`), or a combination of both. The `sync` command will simply process the directories that it finds, giving you full control over which assistant types your pack is optimized for. + + **How the `sync` Command Interprets This Structure:** + + 1. **For Mode-Based Assistants (e.g., Roo Code, Kilo Code):** + * The `sync` command iterates through each subdirectory within the source pack's `rules/` folder (e.g., `01-rules`, `02-rules-architect`). + * For each subdirectory, it strips the numeric prefix (e.g., `01-`) to get the target directory name (e.g., `rules` or `rules-architect`). + * It then copies the contents of the source subdirectory into the corresponding target directory for the assistant (e.g., from `01-rules/` to `.roo/rules/`, and from `02-rules-architect/` to `.roo/rules-architect/`). + + 2. **For Multi-File, Non-Mode Assistants (e.g., Cline, Cursor):** + * The command performs a deep, recursive search to find all rule files within `rules/` and sorts them alphabetically by their full path. This is why numeric prefixes on folders and files are essential. + * It then copies the files to the single target directory (e.g., `.cursor/rules/`), renaming each file with a simple, incrementing numeric prefix (`01-`, `02-`, `03-`, etc.) to enforce the final loading order required by the assistant. + + 3. **For Single-File Assistants (e.g., GitHub Copilot, Warp):** + * It follows the same file discovery and sorting process as for multi-file assistants. + * Instead of copying, it concatenates the content of all files, in the correct sorted order, into a single output file (e.g., `copilot-instructions.md`). + + ### Authoring Considerations: Cross-Assistant Compatibility + The "universal source" structure is powerful, but it's crucial to understand how your rules will be applied across different types of assistants. + + A key takeaway is that **all rules within the `rules/` directory are applied to non-mode assistants**, regardless of which subdirectory they are in. + + **Consider this scenario:** + * You have a general rule in `01-rules/01-principles.md`. + * You have a mode-specific rule in `02-rules-code/01-coding-workflow.md`. + + Here is how they will be treated: + + * **For Roo Code (Mode-Based):** + * `01-principles.md` will be applied as a general rule. + * `01-coding-workflow.md` will be applied *only* when the "code" mode is active. + + * **For Cursor (Multi-File, Non-Mode):** + * Both `01-principles.md` and `01-coding-workflow.md` will be copied into the `.cursor/rules/` directory and will be active at all times. + + * **For Gemini (Single-File):** + * The content of both `01-principles.md` and `01-coding-workflow.md` will be concatenated into `GEMINI.md` and will be active at all times. + + **Guidance for Pack Authors:** + + * If you are creating a rule that should *only* apply to a specific mode in an assistant like Roo Code, be aware that it will still be included in the general context for other assistants like Cursor or Gemini. + * Design your rules to be as general as possible. If a rule must be strictly limited to a mode, you might need to use phrasing within the rule itself, such as: *"If you are operating in 'code' mode, follow these specific instructions..."* This ensures the rule is safely ignored by assistants that don't have modes. + * When converting an existing ruleset, decide which assistants you intend to support. If you only target mode-based assistants, this is less of a concern. If you want universal compatibility, you must review all rules to ensure they don't cause conflicts when flattened into a single context. + + **Best Practices for Pack Authors:** + * **Use Numeric Prefixes:** Per the spec, directories and files under `rules/` **must** start with a zero-padded `NN-` prefix to guarantee deterministic ordering. Leaving gaps (e.g., `10-`, `20-`) makes later inserts easier. + * **Name Directories for Mapping:** The name of a subdirectory after its prefix (e.g., `rules`, `rules-code`) directly determines the target folder for mode-based assistants. Ensure these match the target assistant's requirements. + +* **`memory_starters/` & `tool_starters/` (Optional)** + * These directories contain starter files. When a user runs `project sync`, their contents are copied into the user's project `memory/` and `tools/` directories, respectively. The CLI will **never overwrite** a file that already exists in the user's project. + +### Local Validation + +Before publishing, run the `packs add` command with the `local:` prefix: + +``` +rulebook-ai packs add local: +``` + +For example: `rulebook-ai packs add local:./my-awesome-pack`. This command installs the pack locally and verifies its structure. You can remove it later with `rulebook-ai packs remove ` if needed. + +### Publishing Your Pack + +Once your pack is complete and validated locally, you can share it with the community. The process involves adding your pack to the public community index. + +The full contribution workflow is detailed in the [**Community Pack Ecosystem Specification**](spec.md). To contribute, please submit a Pull Request to the Index Repository located at: + +`https://github.com/botingw/community-index` \ No newline at end of file diff --git a/memory/docs/features/community_packs/spec.md b/memory/docs/features/community_packs/spec.md new file mode 100644 index 0000000..ab51661 --- /dev/null +++ b/memory/docs/features/community_packs/spec.md @@ -0,0 +1,75 @@ +# Specification: Community Pack Ecosystem (MVP) + +## 1. Overview & Motivation + +The primary motivation for this feature is to evolve `rulebook-ai` from a standalone tool into a platform with a thriving, community-driven ecosystem. We want to empower users to easily share, discover, and use `Rule Packs` created by others, fostering a collaborative environment for AI-assisted development best practices. + +This document specifies the Minimum Viable Product (MVP) for this feature, designed to be simple, secure, and maintainable, while providing a solid foundation for future growth. It **extends** the core CLI behavior described in [`manage_rules/spec.md`](../manage_rules/spec.md); only community‑specific behavior is documented here. + +## 2. Design Principles + +The design of this feature is guided by the following core principles, which prioritize maintainer sustainability and user safety: + +1. **Sustainable Maintenance & Delegated Trust**: We acknowledge that the project maintainer cannot personally audit every community pack for security. Therefore, the system is designed to delegate the final trust decision to the end-user. The community index is a discovery tool, not a security endorsement. +2. **User Empowerment Through Transparency**: The CLI's primary role is to empower users to make informed decisions. It achieves this by performing an automated structural validation on packs and presenting clear, explicit warnings about installing third-party code. +3. **Contributor Convenience**: To foster a healthy ecosystem, the process for contributing a pack should be as low-friction as possible. This means pointing to a default branch instead of requiring contributors to manage immutable commit hashes. +4. **Simplicity & Predictability**: The user-facing commands should be simple, and their behavior (especially network access) must be predictable. The user should always be in control. + +## 3. Core Concepts + +1. **Community Pack**: A standard Rule Pack that conforms to the [pack_structure_spec.md](../manage_rules/pack_structure_spec.md) (see `pack_developer_guide.md` for examples), hosted in a public GitHub repository. + +2. **Public Index Repository**: A single, official, public Git repository that serves as a curated list of community packs. Its core is a `packs.json` file. + +3. **Local Index Cache**: A local copy of the `packs.json` file stored on the user's machine. For the MVP the cache lives inside the installed Python package at `rulebook_ai/community/index_cache/packs.json` so that all repositories share one updated index. This cache is **only** updated when the user explicitly runs the `packs update` command. +## 4. Index Data Model + +Each entry in `packs.json` describes a single community pack with the following fields: + +* `name` (string, required) – globally unique pack identifier. +* `username` (string, required) – GitHub account that hosts the repository. +* `repo` (string, required) – repository name. +* `path` (string, optional) – path within the repository to the pack root; defaults to `/`. +* `description` (string, required) – short human-readable summary. +* `commit` (string, optional) – specific commit or tag to check out. + +The trio `username`, `repo`, and optional `path` form a **slug** `username/repo[/path]` that uniquely identifies the source location. The slug is recorded in local metadata so the original source can always be traced. + +## 5. Installation Path & Collision Rules + +* Every installed community pack is copied to `.rulebook-ai/packs/` within the target repository. +* Pack `name` values must be globally unique and cannot match built‑in pack names. +* If `.rulebook-ai/packs/` already exists from a different source, the CLI aborts and no files are modified. +* Local metadata records the source slug to ensure traceability of each pack. + +## 6. CLI Integration + +The following notes supplement the `packs` subcommands defined in [`manage_rules/spec.md`](../manage_rules/spec.md) with community-specific behavior. + +* **`packs list`** – merges built‑in packs with entries from the Local Index Cache. Community packs appear with a `(community)` label. No network calls are made. +* **`packs add `** – resolves `` based on its specified format. Community packs can be added by name from the index (e.g., `my-community-pack`) or by direct repository reference using the `github:` prefix (e.g., `github:user/repo`). If no match is found, the CLI aborts with a clear "pack not found" error. After resolving the source, the CLI clones, **warns and requires explicit user confirmation** before installing, reflecting the *User Empowerment Through Transparency* principle in the Design section. The pack is then structurally verified against [pack_structure_spec.md](../manage_rules/pack_structure_spec.md); any validation failure aborts the install. If the pack's `manifest.yaml` `name` conflicts with an existing local pack, the command fails. +* **`packs update`** – new command that: + 1. Fetches the latest `packs.json` from the Public Index Repository. + 2. Validates the JSON structure and required fields. + 3. Replaces the Local Index Cache on success; otherwise the existing cache is kept and an error is reported. + This is the only `packs` subcommand that performs network access. + +## 7. Contribution Workflow + +Before a pack can be added to the public index, it must meet several quality standards. These requirements are checked during the maintainer review. + +**Pack Requirements:** +* **Public GitHub Repository**: The pack must be hosted in a public GitHub repository. +* **Valid Structure**: It must adhere to the [pack_structure_spec.md](../manage_rules/pack_structure_spec.md); `pack_developer_guide.md` offers examples but is not the source of truth. +* **High-Quality `README.md`**: The pack's own root `README.md` must clearly explain its purpose, philosophy, and usage. +* **Stability**: The pack should be reasonably stable. Highly experimental packs may not be accepted. + +The process for adding a new pack to the public index is as follows: + +1. **Developer Creates Pack**: A developer creates a high-quality pack in their own public GitHub repository, ensuring it follows the [pack_structure_spec.md](../manage_rules/pack_structure_spec.md). +2. **Submit Pull Request**: The developer submits a Pull Request to the Index Repository, located at `https://github.com/botingw/community-index`, adding their pack's metadata to the `packs.json` file. + * Including a specific `commit` or `tag` is **highly recommended** for security and stability, as it ensures users install a specific, reviewed version of the pack. + * If omitted, the pack will be installed from the default branch, which is less secure. +3. **Automated Validation (CI)**: A `GitHub Action` automatically runs on the Pull Request. This CI job performs a sanity check by cloning the pack's repository and validating its structure against [pack_structure_spec.md](../manage_rules/pack_structure_spec.md). This validation **must** include a check to ensure the `name` in the pack's `manifest.yaml` matches the `name` being submitted to `packs.json`. The CI check must fail if they do not match. +4. **Maintainer Review**: After CI passes, a maintainer performs a quick review of the submission (e.g., checking for appropriateness, clear documentation) and merges the PR. +5. **Public Availability**: Once merged, the pack becomes available for discovery to all users after they run `rulebook-ai packs update`. diff --git a/memory/docs/features/community_packs/task_plan.md b/memory/docs/features/community_packs/task_plan.md new file mode 100644 index 0000000..947cb7c --- /dev/null +++ b/memory/docs/features/community_packs/task_plan.md @@ -0,0 +1,48 @@ +# Task Plan: Community Pack Ecosystem + +## 🌟 Goal + +Track the implementation work required to support third-party rule packs. + +--- + +### Phase 1: Core Engine (Add by Source) + +**Description:** Allow installation from explicit sources like a GitHub repository or a local path. + +| Task ID | Description | Importance | Status | Dependencies | +|:-------|:------------|:----------|:------|:-------------| +| **1.0** | Set up mock Git repos & test index for integration tests. | P0 | Done | - | +| **1.1** | Update `packs add` to resolve repository slugs via the `github:` prefix. | P0 | Done | 1.0 | +| **1.2** | Implement `packs add` with the `local:` prefix to install from a local filesystem path. | P0 | Done | - | +| **1.3** | Fetch repository to temp dir and validate per `pack_developer_guide.md`. | P0 | Done | 1.1 | +| **1.4** | Prompt user, ensure `.rulebook-ai/packs/` is free, then install. | P0 | Done | 1.2, 1.3 | +| **1.5** | Persist source metadata to pack and selection files; verify against built-in names. | P0 | Done | 1.4 | + +### Phase 2: Community Index + +**Description:** Introduce discoverability via shared index cache. + +| Task ID | Description | Importance | Status | Dependencies | +|:-------|:------------|:----------|:------|:-------------| +| **2.1** | Maintain local index cache at `rulebook_ai/community/index_cache/packs.json`. | P0 | Done | 1.4 | +| **2.2** | Implement `packs update` to fetch and validate `packs.json`. | P0 | Done | 2.1 | +| **2.3** | Extend `packs add` to resolve by `name` using the cache with collision checks. | P0 | Done | 2.2 | + +### Phase 3: Listing and Visibility + +**Description:** Provide unified view of available packs. + +| Task ID | Description | Importance | Status | Dependencies | +|:-------|:------------|:----------|:------|:-------------| +| **3.1** | Enumerate built-in packs for the CLI. | P1 | Done | 2.3 | +| **3.2** | Implement `packs list` merging built-in and community entries. | P1 | Done | 3.1 | + +### Phase 4: Ecosystem Infrastructure + +**Description:** Enable community contributions via public index. + +| Task ID | Description | Importance | Status | Dependencies | +|:-------|:------------|:----------|:------|:-------------| +| **4.1** | Create public Index Repository with `packs.json` and docs. | P2 | In Progress | 3.2 | +| **4.2** | Add CI workflow to validate submitted packs. | P2 | In Progress | 4.1 | diff --git a/memory/docs/features/manage_rules/ADR-001_Composable_Packs_Architecture.md b/memory/docs/features/manage_rules/ADR-001_Composable_Packs_Architecture.md new file mode 100644 index 0000000..77f7502 --- /dev/null +++ b/memory/docs/features/manage_rules/ADR-001_Composable_Packs_Architecture.md @@ -0,0 +1,33 @@ +# ADR-001: Composable Packs Architecture + +* **Status:** Accepted +* **Date:** 2025-09-04 +* **Context:** The original `rulebook-ai` framework used a monolithic "Rule Set" model. This made it difficult to combine different AI personas (e.g., a "Project Manager" and a "Frontend Developer") in a single project, as their rules, memory, and tools could not be managed independently. An alternative design proposed keeping each Pack's files completely isolated, but this would make the context invisible to the AI assistants, defeating the project's primary goal. +* **Decision:** We will adopt a "best of both worlds" hybrid design. We will introduce modular "Packs" that are managed by the CLI. The framework will compose a unified, top-level `memory/` and `tools/` directory via a non-destructive, ordered merge of the active packs' starter files. This makes the context visible to the AI while preventing user data loss. AI rules will be concatenated in order. +* **Consequences:** This decision leads to the architecture detailed in the summary table below, which combines the essential unified context model with superior metadata (`manifest.yaml`) and state management (`selection.json`). + +--- + +### Critical Analysis: The Core Flaw in the Isolation Model + +An alternative design proposed **"Isolation over merging"** for tools and context. + +* **Its Stated Advantage:** It perfectly prevents file-system conflicts. This is 100% true. +* **Its Unstated but Fatal Flaw:** It fundamentally breaks the principle that **AI Context is King**. + +If the context files remain isolated inside separate pack directories, the AI assistant (Cursor, CLINE, etc.) doesn't know to look there. The whole purpose of this framework is to *surface* the combined context into a location the AI can easily see and ingest. Keeping the context files buried in separate, isolated folders makes them invisible to the AI without significant manual work from the user. + +**Conclusion:** The principle of strict isolation for `context` and `tools` is a non-starter. The principle of composing a unified, top-level `memory/` and `tools/` directory is correct because it serves the primary goal. + +--- + +### Summary of Final Design Decisions + +| Feature | Original Proposal | Alternative (Isolation) | Final Hybrid Design | Rationale | +| :--- | :--- | :--- | :--- | :--- | +| **Context/Tools** | Unified `memory/` & `tools/` via merging. | Kept isolated in `packs/`. | **Unified `memory/` & `tools/` via non-destructive merging.** | **This is the core decision.** A unified context is essential for the AI to function as intended. User experience is also far better. | +| **State Management** | `active_profiles.json` | `selection.lock.json` | **`.rulebook/selection.json`** | Adopted clearer naming and a dedicated hidden directory for all framework internals, keeping the project root cleaner. | +| **Metadata** | Implicit (directory name). | `manifest.yaml` | **`manifest.yaml` per pack.** | Excellent idea. Makes the framework more robust, descriptive, and future-proof (for versions, dependencies, etc.). | +| **Documentation** | Not explicitly defined. | `README.md` per ruleset. | **`README.md` per pack.** | Perfect for human-readable setup and usage instructions. Keeps the manifest clean. | +| **Tool Execution** | (Not specified) | Optional `runners/`. | **README-driven setup.** | Correctly identified as over-engineering for v1. Simple instructions in a README are more flexible and transparent. | +| **Rule Composition** | Merged and generated. | Merged into `COMBINED.md`. | **Merged into a single file per assistant.** | Both designs agreed on this. Concatenation is the most reliable method for ensuring rule order is respected by all platforms. | diff --git a/memory/docs/features/manage_rules/ADR-002_Scoped_Sync_and_Cleanup.md b/memory/docs/features/manage_rules/ADR-002_Scoped_Sync_and_Cleanup.md new file mode 100644 index 0000000..ad3eba5 --- /dev/null +++ b/memory/docs/features/manage_rules/ADR-002_Scoped_Sync_and_Cleanup.md @@ -0,0 +1,26 @@ +# ADR-002: Scoped Sync and Pack Cleanup + +## Status +Accepted + +## Context +`rulebook-ai` is moving from a single ruleset model to composable packs. The original CLI coupled pack operations with a global `sync` that updated every assistant and left stale `memory/` and `tools/` files when packs were removed. This produced surprises for users and inconsistent project state. + +## Decision +- `add_pack` and `remove_pack` only mutate the active pack list and then invoke `sync` in *implicit* mode. +- `sync` supports two modes: + - **Explicit** – users run `rulebook-ai sync --cursor --claude` to target specific assistants. + - **Implicit** – internal calls without assistant flags rebuild rules only for assistants already present in the repository. +- During sync, the system records which `memory/` and `tools/` files originate from each pack. Removing a pack purges these files before rebuilding from remaining packs. +- Implicit sync never creates rule directories for new assistants; it updates only those previously configured. +- Two cleanup commands remain: `clean` (remove all packs, memory, tools, and rules) and `clean-rules` (delete only `.rulebook-ai/` and generated rules). + +## Consequences +- Users avoid accidental propagation of rules to new assistants. +- Projects stay consistent after pack removal because stale files are tracked and deleted. +- Tracking per-pack file maps introduces a small bookkeeping cost. + +## Alternatives Considered +- Running a full sync on every `add/remove` regardless of existing assistants – rejected due to surprise updates. +- Requiring users to run `sync` manually after every pack change – rejected because it leaves the repo in an inconsistent state by default. + diff --git a/memory/docs/features/manage_rules/TDD_plan.md b/memory/docs/features/manage_rules/TDD_plan.md new file mode 100644 index 0000000..7861635 --- /dev/null +++ b/memory/docs/features/manage_rules/TDD_plan.md @@ -0,0 +1,76 @@ +# TDD Plan: Improved UX for Composable Packs + +This document outlines the updated test strategy for the refined CLI design that separates configuration from application. + +## Phase 0: Full Test Suite Audit and Migration + +**Description:** Before implementing new tests, audit the entire existing test suite for compatibility with the new, decoupled workflow. This is critical to prevent test debt and ensure a stable foundation. + +- [x] **Task 0.1: Audit all existing integration tests** + - **Description:** Review every test file in `tests/integration/` to assess its compatibility with the new architecture. + - **Checklist for each test:** + - [x] Does it use a test setup helper/fixture that needs updating? + - [x] Does it call a command that has been renamed or moved (e.g., `clean` -> `project clean`)? + - [x] Does it assert specific CLI output text that may have changed? + - [x] Does it rely on the side-effects of `packs add/remove` (implicit sync)? + - [x] Does it test a command (like `bug-report`) that internally depends on now-changed core logic? + +- [x] **Task 0.2: Categorize and Migrate Tests** + - **Description:** Based on the audit, categorize each legacy test and take action. + - **Actions:** + - **Obsolete:** For tests of deprecated workflows (e.g., `test_cli_commands.py`). **Action: Delete.** + - **Evaluate:** Legacy integration tests such as `test_rule_manager_integration.py` and `test_tools_integration.py` may contain scenarios worth porting. Review and either refactor or remove them. + - **Safe:** Tests independent of CLI changes (e.g., `test_package_installation.py`). **Action: Keep.** + +- [x] **Task 0.3: Establish a Clean Test Baseline** + - **Description:** After migrating and deleting tests, ensure the entire test suite passes before proceeding. + - **Action:** Run `pytest tests/` and resolve any remaining failures. + +--- + +## Phase 1: Packs Command Group + +### `packs list` + - [x] `test_packs_list_shows_manifest_info`: Output lists pack names, versions, and descriptions. + +### `packs add ` + - [x] `test_add_pack_updates_selection`: Pack added to `selection.json` and copied to `.rulebook-ai/packs/` without touching `memory/` or `tools/`. + - [x] `test_add_multiple_packs`: Multiple packs can be added in one command. + - [x] `test_add_nonexistent_pack_fails`: Adding unknown pack exits with error. + - [x] `test_add_pack_by_local_path`: `packs add local:` copies pack and updates selection. + +### `packs remove ` + - [x] `test_remove_pack_updates_selection`: Pack removed from `selection.json` and `.rulebook-ai/packs/`. + - [x] `test_remove_pack_does_not_touch_context`: `memory/` and `tools/` remain unchanged. + - [x] `test_remove_nonexistent_pack_fails`: Removing unknown pack exits with error. + +### `packs status` + - [x] `test_packs_status_lists_library_and_profiles`: Displays all packs and profiles defined in `selection.json`. + +## Phase 2: Profiles Command Group + - [x] `test_profiles_create_and_list`: Creating a profile registers it in `selection.json` and `profiles list` shows it. + - [x] `test_profiles_add_and_remove_packs`: Packs can be added to and removed from a profile. + - [x] `test_profiles_delete`: Deleting a profile removes it from `selection.json`. + +## Phase 3: Project Sync + - [x] `test_project_sync_all_packs`: Generates rules using all packs and records entries in `sync_status.json`. + - [x] `test_project_sync_with_profile`: Only packs from the specified profile are used. + - [x] `test_project_sync_with_pack_flags`: Only explicitly flagged packs are used. + - [x] `test_project_sync_updates_file_manifest`: `file_manifest.json` reflects newly created context files. + +## Phase 4: Project Status + - [x] `test_project_status_reports_last_sync`: Shows timestamp, mode (all/profile/pack), and pack count for each assistant. + +## Phase 5: Cleaning + - [x] `test_project_clean_requires_confirmation`: Destructive action prompts the user and removes `.rulebook-ai/`, `memory/`, `tools/`, and generated rules upon confirmation. + - [x] `test_project_clean_aborts_on_decline`: Declining the prompt leaves existing files untouched. + - [x] `test_project_clean_rules_preserves_context`: `.rulebook-ai/` and rules are removed while `memory/` and `tools/` remain. + - [x] `test_project_clean_context_removes_orphans`: `project clean-context --action delete --force` removes files from removed packs and updates the manifest. + +## Phase 6: Unit Tests + - [x] `test_selection_json_profiles_schema`: Unit test for reading/writing profiles in `selection.json`. + - [x] `test_sync_status_recording`: Unit test ensuring `project sync` writes correct data to `sync_status.json`. + - [x] `test_rule_generation_idempotence`: Running `project sync` twice without changes produces identical results. + +## Phase 7: Deferred Interactive Features (P3) +- [ ] Tests for interactive conflict resolution during `project sync`. \ No newline at end of file diff --git a/memory/docs/features/manage_rules/archive_TDD_plan.md b/memory/docs/features/manage_rules/archive_TDD_plan.md new file mode 100644 index 0000000..f46d37d --- /dev/null +++ b/memory/docs/features/manage_rules/archive_TDD_plan.md @@ -0,0 +1,100 @@ +# TDD Plan: Composable Packs + +This document tracks the tests for the composable packs feature, with a focus on integration tests for the CLI commands. + +## Phase 1: Integration Tests + +### `packs list` + +- [x] `test_packs_list_success`: The command runs successfully and exits with code 0. +- [x] `test_packs_list_output_contains_pack_names`: The output includes the names of all available packs (e.g., "light-spec", "heavy-spec"). +- [x] `test_packs_list_output_contains_manifest_data`: The output displays the `version` and `summary` for each pack, read from its `manifest.yaml`. + +### `packs add ` + +- [x] `test_add_first_pack`: Add a pack to a new project. + - [x] Verify `.rulebook-ai/` directory is created. + - [x] Verify `.rulebook-ai/selection.json` is created and contains the pack's name and version. + - [x] Verify the full pack is copied to `.rulebook-ai/packs//`. + - [x] Verify `memory/` and `tools/` directories are created and populated with starter files. + - [x] Verify an implicit sync runs and generated assistant rules are present. +- [x] `test_add_second_pack`: Add a second pack to the project. + - [x] Verify `selection.json` is updated with the second pack. + - [x] Verify the second pack is copied to `.rulebook-ai/packs//`. + - [x] Verify `memory/` and `tools/` are updated by merging the new files without overwriting existing ones. + - [x] Verify implicit sync runs and generated rules are updated based on the combined packs. +- [ ] `test_add_existing_pack_refreshes`: Add a pack that is already active. + - [ ] Verify the pack's content in `.rulebook-ai/packs//` is updated to match the source. + - [ ] Verify `selection.json` remains unchanged. + - [ ] Verify an implicit sync is triggered. +- [x] `test_add_non_existent_pack`: Attempt to add a pack that does not exist. + - [x] Verify the command fails with a non-zero exit code. + - [x] Verify an informative error message is printed. + +### `packs remove ` + +- [x] `test_remove_pack`: Remove an active pack. + - [x] Verify the pack is removed from `selection.json`. + - [x] Verify the pack's directory is deleted from `.rulebook-ai/packs/`. + - [x] Verify starter files associated with the pack are removed from `memory/` and `tools/` (using a file map). + - [x] Verify an implicit sync runs and generated rules are updated. +- [x] `test_remove_last_pack`: Remove the only active pack. + - [x] Verify `selection.json` becomes an empty list. + - [x] Verify `.rulebook-ai/packs/` becomes empty. + - [x] Verify `memory/` and `tools/` become empty (or are removed). +- [x] `test_remove_non_existent_pack`: Attempt to remove a pack that is not active. + - [x] Verify the command fails with a non-zero exit code. + - [x] Verify an informative error message is printed. + +### `packs status` + +- [x] `test_status_no_packs`: Run `packs status` in a project with no active packs. + - [x] Verify the output indicates that no packs are active. +- [x] `test_status_one_pack`: Run `packs status` with one active pack. + - [x] Verify the output correctly displays the pack's name and version. +- [x] `test_status_multiple_packs`: Run `packs status` with multiple active packs. + - [x] Verify the output lists all packs in the correct order of precedence. + +### `sync` + +- [x] `test_sync_no_flags`: Run `sync` to regenerate rules for all active packs. + - [x] Verify generated rules reflect the combined content of all packs. +- [ ] `test_sync_rebuild`: Run `sync --rebuild`. + - [ ] Verify `memory/` and `tools/` are purged and fully repopulated from active packs. +- [ ] `test_sync_force`: Test conflict resolution with `sync --force`. + - [ ] Create a conflict where a later pack has a file that also exists from an earlier pack. + - [ ] Verify the file from the later pack overwrites the earlier one. +- [ ] `test_sync_strict`: Test conflict resolution with `sync --strict`. + - [ ] Create a file conflict. + - [ ] Verify the command fails with a non-zero exit code and an error message. + +### Target Platform Rules + +- [x] `test_sync_generates_platform_rules`: After adding a pack, run `sync` and verify platform-specific artifacts for multi-file, mode-based, and single-file assistants are created. +- [x] `test_clean_rules_removes_platform_artifacts`: After generating platform rules, run `clean-rules` and confirm those artifacts are removed while `memory/` and `tools/` remain. + +### `clean` + +- [x] `test_clean_confirm_yes`: Run `clean` and provide "yes" to the confirmation prompt. + - [x] Verify `.rulebook-ai/`, `memory/`, `tools/`, and all generated rule artifacts are removed. +- [x] `test_clean_confirm_no`: Run `clean` and provide "no" to the confirmation prompt. + - [x] Verify no files or directories are removed. + +### `clean-rules` + +- [x] `test_clean_rules`: Run the `clean-rules` command. + - [x] Verify `.rulebook-ai/` and generated rule artifacts are removed. + - [x] Verify `memory/` and `tools/` are preserved. + +## Phase 2: Unit Tests + +This section outlines the unit tests for the `RuleManager` class in `core.py`. + +### `RuleManager` + +- [x] `test_list_packs`: Mocks the filesystem and verifies the method correctly finds and parses pack manifests. +- [ ] `test_add_pack_logic`: Tests the core logic of adding a pack, mocking filesystem interactions. +- [ ] `test_remove_pack_logic`: Tests the core logic of removing a pack. +- [ ] `test_sync_logic`: Tests the file composition and conflict resolution logic in isolation. +- [ ] `test_clean_logic`: Tests the file/directory removal logic. +- [ ] `test_status_logic`: Tests reading and parsing of `selection.json`. diff --git a/memory/docs/features/manage_rules/refactoring_reasoning.md b/memory/docs/features/manage_rules/archive_refactoring_reasoning.md similarity index 100% rename from memory/docs/features/manage_rules/refactoring_reasoning.md rename to memory/docs/features/manage_rules/archive_refactoring_reasoning.md diff --git a/memory/docs/features/manage_rules/command_flow_diagrams.md b/memory/docs/features/manage_rules/command_flow_diagrams.md new file mode 100644 index 0000000..07d87ba --- /dev/null +++ b/memory/docs/features/manage_rules/command_flow_diagrams.md @@ -0,0 +1,73 @@ +# Command Flow Diagrams + +This document visualizes the high-level flow of major commands introduced in the composable pack system. Diagrams focus on +spec-level behavior rather than implementation details. + +## `rulebook-ai packs add ` + +```mermaid +flowchart TD + A[User runs `packs add `] --> B{Pack exists in source repo?} + B -- No --> Z[Abort with error] + B -- Yes --> C[Copy pack to `.rulebook-ai/packs/`] + C --> D[Record name & version in `selection.json`] + D --> E[Invoke implicit `sync` (see `sync` diagram)] + E --> F[Command completes] +``` + +*`packs add` triggers an implicit `sync`; see the `sync` command diagram for how rules, memory, and tools are regenerated.* + +## `rulebook-ai packs remove ` + +```mermaid +flowchart TD + A[User runs `packs remove `] --> B{Pack active?} + B -- No --> Z[Abort with error] + B -- Yes --> C[Remove entry from `selection.json`] + C --> D[Delete pack from `.rulebook-ai/packs/`] + D --> E[Purge pack files from `memory/` & `tools/`] + E --> F[Invoke implicit `sync` (see `sync` diagram)] + F --> G[Command completes] +``` + +*`packs remove` triggers an implicit `sync`; see the `sync` command diagram for how remaining packs are rebuilt.* + +## `rulebook-ai sync` + +```mermaid +flowchart TD + A[User runs `sync` (optional flags)] --> B{Assistant flags provided?} + B -- Yes --> C[Explicit mode: target listed assistants] + B -- No --> D[Implicit mode: detect existing rule dirs] + C --> E[Delete generated rules for targets] + D --> E + E --> F[Merge active packs into `memory/` & `tools/`] + F --> G[Warn on conflicts or abort in `--strict` mode] + G --> H[Generate combined rules for targeted assistants] + H --> I[Command completes] +``` + +## `rulebook-ai clean` + +```mermaid +flowchart TD + A[User runs `clean`] --> B{User confirms?} + B -- No --> Z[Abort] + B -- Yes --> C[Delete `.rulebook-ai/`] + C --> D[Delete `memory/` & `tools/`] + D --> E[Delete generated assistant rule dirs] + E --> F[Command completes] +``` + +## `rulebook-ai clean-rules` + +```mermaid +flowchart TD + A[User runs `clean-rules`] --> B{User confirms?} + B -- No --> Z[Abort] + B -- Yes --> C[Delete `.rulebook-ai/`] + C --> D[Delete generated assistant rule dirs] + D --> E[Preserve `memory/` & `tools/`] + E --> F[Command completes] +``` + diff --git a/memory/docs/features/manage_rules/implementation_design.md b/memory/docs/features/manage_rules/implementation_design.md deleted file mode 100644 index c9a2122..0000000 --- a/memory/docs/features/manage_rules/implementation_design.md +++ /dev/null @@ -1,24 +0,0 @@ -# Implementation Design: Rulebook-AI CLI - -## 1. High-Level Goal & Architecture - -The `rulebook-ai` CLI is designed to be maintainable and extensible. The core implementation follows a clean **separation of concerns**, splitting the logic into two distinct parts: - -1. **A declarative configuration (`assistants.py`)**: This file defines the *specification* for each AI assistant—what they expect to find on the filesystem—using a pure, data-only `AssistantSpec` class. It is the single source of truth for all assistant-specific information. -2. **A generic engine (`core.py`)**: The `RuleManager` class acts as a generic engine that reads the assistant specifications and performs the necessary file operations (copying, cleaning, generating rules). It contains all the logic for *how* to generate rules based on the specifications. - -This architecture makes adding a new assistant a simple matter of adding a new entry to the configuration file, without touching the core engine logic. - -## 2. Code Structure - -- **`src/rulebook_ai/cli.py`**: Handles command-line argument parsing using Python's `argparse` library. It dynamically generates CLI flags (e.g., `--cursor`, `--cline`) from the `SUPPORTED_ASSISTANTS` list in `assistants.py`. It then calls the appropriate methods in the `RuleManager`. -- **`src/rulebook_ai/core.py`**: Contains the `RuleManager` class, which implements the main business logic for the `install`, `sync`, `clean-rules`, and `clean-all` commands. -- **`src/rulebook_ai/assistants.py`**: Contains the `AssistantSpec` dataclass and the `SUPPORTED_ASSISTANTS` list, which provides the specifications for all supported AI assistants. - -## 3. Core Implementation Notes - -- **Path Handling:** The implementation must use robust path handling to manage files and directories across different operating systems. -- **User Feedback:** The CLI should provide clear and concise feedback to the user for all operations. -- **Hardcoded Constants:** Directory names for the framework components (e.g., `rule_sets` in the source repo, `project_rules`, `memory`, `tools` in the target repo) are hardcoded as constants within the script for simplicity and reliability. -- **Parent Directory Creation:** Helper functions that write files (e.g., for `copilot-instructions.md` or `GEMINI.md`) must ensure that the parent directories (`.github/`, `.gemini/`) are created if they do not exist. -- **Extensibility for Assistants:** The `AssistantSpec` is designed to be extensible. For example, the `has_modes` flag was added to support assistants like Kilo Code and Roo Code, which use subdirectories for different modes. The `RuleManager`'s generation logic was extended to interpret this flag. diff --git a/memory/docs/features/manage_rules/implementation_design_support_flexible_ruleset.md b/memory/docs/features/manage_rules/implementation_design_support_flexible_ruleset.md new file mode 100644 index 0000000..a4d2248 --- /dev/null +++ b/memory/docs/features/manage_rules/implementation_design_support_flexible_ruleset.md @@ -0,0 +1,83 @@ +# Implementation Design: Rulebook-AI CLI + +## 1. High-Level Goal & Architecture + +The refactored CLI lets users compose multiple modular **Packs** inside one project while still keeping the codebase easy to maintain. It preserves a **separation of concerns**: + +1. **Declarative configuration (`assistants.py`)** – describes how each supported assistant expects its rules to be laid out on disk. Adding a new assistant remains a matter of adding a new spec. +2. **Generic engine (`core.py`)** – interprets those specs and carries out filesystem operations such as copying, syncing, and cleaning. The engine now manages multiple packs rather than a single rule set. + +### Key Directories in a Target Project + +| Path | Purpose | +|------|---------| +| `.rulebook-ai/` | Hidden internal state. Holds per-pack copies under `.rulebook-ai/packs//` and a machine-readable `selection.json` recording the active pack list and order. | +| `memory/` | User-owned unified memory bank. Populated from pack `memory_starters/` and intended for version control. | +| `tools/` | User-owned unified tools directory. Populated from pack `tool_starters/` and intended for version control. | +| *Assistant rule dirs* | Generated platform rules (e.g., `.cursor/`, `.clinerules/`, `WARP.md`). Should be gitignored. | + +Earlier packs in `selection.json` take precedence when files conflict; later packs are skipped unless the user opts into `--force` or `--strict` behaviors. + +## 2. Code Structure + +### `src/rulebook_ai/assistants.py` +Declarative definitions of supported assistants using an `AssistantSpec` dataclass. Each spec describes how rule files are laid out on disk. + +### `src/rulebook_ai/core.py` +Home of the `RuleManager` class. Key responsibilities: + +- `list_packs()` – enumerate available packs from the source repo. +- `add_pack(name)` – copy a pack into `.rulebook-ai/packs/`, refresh if it already exists, append to `selection.json`, merge starter `memory/` and `tools` without overwriting existing files, then trigger an implicit sync. +- `remove_pack(name)` – drop a pack from `selection.json`, delete its copy under `.rulebook-ai/packs/`, remove starter files it introduced, then trigger an implicit sync. +- `sync(assistants=None, strict=False, force=False, rebuild=False)` – regenerate assistant rules and compose `memory/`/`tools` from active packs. Supports explicit invocation (user runs `sync`) and implicit invocation (called from `add_pack`/`remove_pack`). +- `clean()` – remove `.rulebook-ai/`, `memory/`, `tools/`, and all generated rule directories after confirmation. +- `clean_rules()` – remove `.rulebook-ai/` and generated rule directories while preserving `memory/` and `tools`. +- `status()` – read `selection.json` and report the active pack list and order. + +The class reads each pack's `manifest.yaml` and maintains a `file-map.json` per pack to track which starter files were copied. + +### `src/rulebook_ai/cli.py` +Argument parsing and user interaction via `argparse`: + +- Provides a `packs` command group with `list`, `add `, `remove `, and `status` subcommands. +- Exposes top-level `sync`, `clean`, and `clean-rules` commands. +- Dynamically generates assistant flags (`--cursor`, `--cline`, etc.) from `SUPPORTED_ASSISTANTS` for the `sync` command. +- Prints progress messages and helpful commit/ignore hints after operations. + +## 3. Core Implementation Notes + +- **Explicit state:** `selection.json` is the source of truth for which packs are active and in what order. All operations read and update this file. +- **Pack refresh:** `add_pack` always clears and overwrites any existing copy of the pack in `.rulebook-ai/packs//` to ensure freshness. +- **Conflict handling:** When composing `memory/` and `tools`, earlier packs win. Later packs encountering existing files are skipped with a warning. `--strict` aborts on conflict; `--force` overwrites. +- **Implicit vs. explicit sync:** `sync` regenerates assistant rules and merges starter files. Explicit sync is invoked directly by the user and may target specific assistants. Implicit sync is automatically run after `add_pack` or `remove_pack`. +- **Path handling:** The implementation must use robust path handling to manage files and directories across different operating systems. +- **User feedback:** The CLI should provide clear and concise feedback to the user for all operations. +- **Hardcoded constants:** Directory names for framework components (e.g., `rule_sets` in the source repo, `memory`, `tools` in the target repo) are hardcoded as constants within the script for simplicity and reliability. +- **Parent directory creation:** Helper functions that write files (e.g., for `copilot-instructions.md` or `GEMINI.md`) must ensure that the parent directories (`.github/`, `.gemini/`) are created if they do not exist. +- **Extensibility for assistants:** The `AssistantSpec` is designed to be extensible. For example, the `has_modes` flag supports assistants like Kilo Code and Roo Code, which use subdirectories for different modes. + +## 4. Typical Workflows + +1. **Start a project** + - `rulebook-ai packs add light-spec` + - Commit `memory/`, `tools/`, and relevant `.gitignore` updates. + +2. **Compose personas** + - `rulebook-ai packs add python-data-scientist` + - `rulebook-ai packs status` + +3. **Regenerate rules after manual edits** + - Modify files in `memory/` or `tools/`. + - `rulebook-ai sync --cursor` + +4. **Remove a pack** + - `rulebook-ai packs remove python-data-scientist` + - Commit resulting changes to `memory/`, `tools`, and generated rules. + +5. **Reset generated rules only** + - `rulebook-ai clean-rules` + +6. **Full uninstall** + - `rulebook-ai clean` + +These workflows mirror the CLI behaviors documented in `spec.md` while highlighting how the underlying components cooperate. diff --git a/memory/docs/features/manage_rules/implementation_plan_improve_UX.md b/memory/docs/features/manage_rules/implementation_plan_improve_UX.md new file mode 100644 index 0000000..a05745c --- /dev/null +++ b/memory/docs/features/manage_rules/implementation_plan_improve_UX.md @@ -0,0 +1,38 @@ +# Implementation Update Plan: Improved User Experience + +This plan outlines the phases required to migrate from the initial composable pack design to the refined model described in `improve_user_experience_plan.md`. + +## Phase 1: Decouple Configuration from Application *(Completed)* +- Remove implicit sync behavior from `packs add`/`remove`. +- Ensure these commands only modify `.rulebook-ai/selection.json` and local pack sources. +- Update documentation and help text to remind users to run `project sync`. + +## Phase 2: Introduce Profiles *(Completed)* +- Extend `selection.json` schema to store a `profiles` map. +- Implement CLI commands under `rulebook-ai profiles` for create/delete/add/remove/list. +- Validate profile names and ensure packs referenced in profiles exist in the library. + +## Phase 3: Project Sync Revamp *(Completed)* +- Replace the old `sync` command with `project sync`. +- Add `--pack` (repeatable) and `--profile` flags; enforce mutual exclusivity. +- Compose context from selected packs, update `file_manifest.json`, generate rules, and write `sync_status.json` with timestamp and source of context. +- Ensure context files are only added when missing; no overwrites. + +## Phase 4: Project Status Command *(Completed)* +- Implement `rulebook-ai project status` to read `sync_status.json` and report the last sync per assistant. +- Highlight stale or missing contexts. + +## Phase 5: Cleaning Commands *(Completed)* +- Rename existing cleaning commands to `project clean` and `project clean-rules`. +- `project clean` must prompt for confirmation before removing `.rulebook-ai/`, `memory/`, `tools/`, or generated rules. +- `project clean-rules` executes without a prompt and preserves user context. +- Add `project clean-context` to remove orphaned files using `file_manifest.json` with `--action` and `--force` flags. + +## Phase 6: Testing and Migration *(Completed)* +- Update existing tests to account for the decoupled workflow. +- Add new integration tests for profiles and project commands. +- Remove tests covering deprecated implicit sync behavior. + +## Phase 7: Future Enhancements (Low Priority) +- Interactive conflict resolution during `project sync`. +- Enhanced `project clean-context` interaction options and automation flags. diff --git a/memory/docs/features/manage_rules/improve_user_experience_plan.md b/memory/docs/features/manage_rules/improve_user_experience_plan.md new file mode 100644 index 0000000..b4b70f4 --- /dev/null +++ b/memory/docs/features/manage_rules/improve_user_experience_plan.md @@ -0,0 +1,375 @@ +this is chat history for plan update user experience of CLI + +{several rounds of chat} + +user: +then 1. when user want to know what packs he add, it seems still difficult? does status only list packs sync to your ai coding assistants? 2. whether user need setup profile to custom set of packs to sync not convinient? think from first principle appraoch + +gemini-2.5-pro: +These are two of the most insightful questions you could ask. They probe the exact points where a logical design can still result in a frustrating user experience. You are right to challenge these assumptions. + +Let's break down each question from first principles. + +--- + +### **1. The Status & Clarity Problem: "How do I know what's going on?"** + +You are correct. If a user runs `packs add` and later runs `project sync --profile frontend`, the state of the project becomes ambiguous. `packs status` would show all installed packs, but the AI assistant is only using a subset. This violates the **Principle of Clarity & Predictability.** A user must be able to easily answer two distinct questions: + +1. **"What is the complete library of packs available to my project?"** (The Configuration) +2. **"What is the actual context my AI assistant is using *right now*?"** (The Applied State) + +A single `status` command cannot clearly answer both. + +#### **The Solution: Two Distinct, Purpose-Built Status Commands** + +To solve this, we will follow the **Principle of Single Responsibility**. We will have two status commands, one for the configuration and one for the applied state. + +* **`rulebook-ai packs status`** (What you've configured) + * **Responsibility:** This command's only job is to report on the state of the **pack library** as defined in `.rulebook-ai/selection.json`. + * **Output:** It will list the master list of all installed packs and then list the defined profiles and their contents. This gives a complete picture of the project's *potential* context. + +* **`rulebook-ai project status`** (What is actually active) + * **Responsibility:** This new, crucial command's job is to report on the **live, applied state** of the workspace. It will inspect the project to determine what context is currently active for each AI assistant. To enable this, we will introduce a lightweight status file. + * **Mechanism:** When `project sync` runs, it will save a small "receipt" in `.rulebook-ai/sync_status.json`. This file will record which profile (or if all packs were used) was synced to which assistant, and when. + * **User Experience:** + ```bash + $ rulebook-ai project status + > Project Sync Status: + > + > - Cursor: + > - Last Synced: 2025-09-07 10:30:15 UTC + > - Mode: Profile + > - Profile: 'frontend-work' (2 packs) + > + > - Gemini: + > - Last Synced: 2025-09-07 10:28:00 UTC + > - Mode: All Packs + > - Packs: 5 + > + > - CLINE: + > - No rulebook-ai rules detected. + ``` + * **This new command completely solves the clarity problem.** The user can now see, at a glance, the exact context each of their tools is using, eliminating all confusion. + +--- + +### **2. The Profile Convenience Problem: "Is creating a profile overkill?"** + +This is an exceptional point that gets to the heart of good UX design. You are right. Forcing a user to create a persistent, named profile for a temporary, one-off task is inconvenient. It violates the **Principle of Efficiency.** + +A user's intent for syncing context exists on a spectrum: + +1. **The Default Case:** "Sync everything." +2. **The Recurring Case:** "I do frontend work often, so I want a reusable `frontend` profile." (Our current `profiles` feature serves this well). +3. **The Ad-Hoc Case:** "Just for this one task, I want to sync *only* the `react` and `testing` packs. I don't want to create a named profile for this." + +Our current design only serves cases 1 and 2. We need an elegant solution for case 3. + +#### **The Solution: Ad-Hoc Syncing with a `--pack` Flag** + +We will enhance the `project sync` command to allow for specifying packs directly on the command line, bypassing the need for a profile. + +* **`rulebook-ai project sync --pack --pack ...`** + +This new flag will be **mutually exclusive** with the `--profile` flag. You can use one or the other, but not both. + +#### **The Complete User Experience (The "Spectrum of Intent")** + +Now, the user has a tool that perfectly matches the complexity of their intent, from simplest to most complex. + +* **To sync ALL installed packs (The Default Case):** + > `rulebook-ai project sync --assistant cursor` + +* **To sync a TEMPORARY, ad-hoc set of packs (The Ad-Hoc Case):** + > `rulebook-ai project sync --assistant cursor --pack react-frontend --pack jest-testing` + * This is powerful and convenient. It directly answers your concern. The user doesn't need to create a profile for a one-off task. + +* **To sync a REUSABLE, named set of packs (The Recurring Case):** + > `rulebook-ai project sync --assistant cursor --profile frontend-work` + +By adding this `--pack` flag, we complete the design. We provide a simple default for new users, a powerful ad-hoc tool for intermediate use cases, and a robust profiling system for advanced, recurring workflows. This layered approach provides the perfect balance of convenience and power, fully satisfying our first principles. + +user: +then update the spec again + +gemini-2.5-pro: +Of course. Based on our extensive design discussion, here is the comprehensively updated and revised specification. It incorporates all the critical enhancements for safety, clarity, convenience, and power, directly addressing the excellent points you raised. + +This revised document represents a major leap forward in user experience and should be considered the new blueprint. + +--- + +# **Revised Specification: Rulebook-AI CLI v2.0** + +**1. Overview** + +The `rulebook-ai` command-line interface manages modular "Packs" that bundle AI rules and starter context (documents and tools). The CLI empowers users to configure their project with a library of packs, compose them into task-specific "Profiles" or ad-hoc sets, and safely apply this context to one or more AI assistants. The design prioritizes user safety, clarity of state, and workflow efficiency. + +**2. Core Concepts** + +1. **Source Repository:** Hosts a top-level `packs/` directory containing all available packs. +2. **Target Repo:** The user's project repository. +3. **Framework State Directory (`.rulebook-ai/`):** A hidden directory in the Target Repo that contains the framework's complete state: + * `.rulebook-ai/packs/`: A local copy of every added pack's source files. + * **`selection.json`:** The configuration source of truth. Records the master list of all packs added to the project and all user-defined **Profiles** (named subsets of packs). + * **`file_manifest.json`:** A "receipt" that tracks the ownership of every context file the framework creates in the user's `memory/` and `tools/` directories. This is critical for safe cleanup. + * **`sync_status.json`:** A "live status" record, updated on every `sync`, detailing which packs or profile was last synced to each specific AI assistant. +4. **User Context Directories (`memory/`, `tools/`):** User-owned, version-controlled folders. The framework only ever *adds* new starter files here; it never overwrites or deletes context without explicit user instruction via the `clean-context` command. +5. **Target Platform Rules:** The ephemeral, generated rule files for each AI assistant. These should be git-ignored. + +**3. Decoupled Workflow Philosophy** + +The CLI is built on a simple, two-phase philosophy that separates configuration from application, providing maximum user control and efficiency. + +1. **Phase 1: Configure Your State (`packs` and `profiles` commands):** The user first defines their desired state. They add all potentially useful packs to the project's library (`packs add`) and optionally group them into reusable subsets (`profiles create`). This phase only modifies the contents of the `.rulebook-ai/` directory. +2. **Phase 2: Apply Your State (`project` commands):** Once the configuration is ready, the user runs a `project sync` command to apply that state to the workspace. This action reads the configuration and updates the rule files and user context directories. + +This decoupled model allows for efficient batch operations and prevents unexpected side effects. + +**4. CLI Commands** + +The CLI is organized into three logical groups: `packs` (manage your library), `profiles` (compose subsets), and `project` (apply to your workspace). + +--- +### **`packs` Command Group: Manage Your Library** + +* **`rulebook-ai packs add `** + * **Action:** Adds one or more packs to the project's library. It copies the pack(s) into `.rulebook-ai/packs/` and adds their details to the master list in `selection.json`. + * **Behavior:** This is a configuration-only command. It does **not** touch `memory/`, `tools/`, or generated rules. + * **Output:** Confirms which packs were added and advises the user to run `rulebook-ai project sync` to apply the changes. + * **Use Case:** To expand the collection of available contexts for your project before applying them. + +* **`rulebook-ai packs remove `** + * **Action:** Removes one or more packs from the project's library. + * **Behavior:** Configuration-only. Removes the pack(s) from `selection.json` and their source from `.rulebook-ai/packs/`. + * **Output:** Confirms removal and advises running `project sync` to update rules and `project clean-context` to manage any orphaned starter files. + * **Use Case:** To prune the library of packs that are no longer relevant to the project. + +* **`rulebook-ai packs status`** + * **Action:** Displays the complete **configured state** of the project. + * **Output:** Prints the master list of all installed packs and then shows all defined profiles and the packs they contain. + * **Use Case:** To get a full picture of all the potential contexts and compositions available to the project. + +--- +### **`profiles` Command Group: Compose Reusable Subsets** + +* **`rulebook-ai profiles create `**: Creates a new, empty profile for grouping packs. +* **`rulebook-ai profiles delete `**: Deletes a profile definition. +* **`rulebook-ai profiles add --to `**: Adds a pack (which must already be in the library) to a profile. +* **`rulebook-ai profiles remove --from `**: Removes a pack from a profile. +* **`rulebook-ai profiles list`**: Shows all defined profiles and their contents. +* **Use Case:** To create named, reusable contexts for recurring tasks (e.g., a "frontend" profile, a "testing" profile) to improve AI performance. + +--- +### **`project` Command Group: Apply State to Your Workspace** + +* **`rulebook-ai project sync [--assistant ...] [--profile ] [--pack ...] [--interactive]`** + * **Action:** Reads the configuration and applies it to the project, updating rules and context. This is the primary "apply" command. + * **Behavior:** + * **Context (`memory/`, `tools/`):** 100% non-destructive. Only adds new starter files if they do not already exist. Updates `file_manifest.json` with any files it creates. + * **Rules:** Cleans and regenerates rules based on the chosen context. + * **Context Selection (choose one):** + * **Default:** Uses ALL packs in the library. + * **`--profile `:** Uses only the packs in the specified reusable profile. + * **`--pack `:** Uses only the packs specified directly on the command line for a convenient, one-off sync. + * **Target Selection:** + * **`--assistant `:** Applies the context to the specified assistant(s) only. + * **Default:** Refreshes rules for all assistants previously detected in the project. + * **`--interactive`:** If a context file conflict is found, pauses and prompts the user for how to resolve it (Skip/Overwrite/Diff/Abort). + +* **`rulebook-ai project status`** + * **Action:** Displays the **live, applied state** of the workspace. + * **Behavior:** Reads `sync_status.json` to report which context (which profile or packs) was last synced to each AI assistant, and when. + * **Use Case:** To immediately understand the exact context your AI assistant is using *right now*, eliminating any ambiguity. + +* **`rulebook-ai project clean-context`** + * **Action:** A dedicated, interactive command to **safely** remove orphaned starter files from `memory/` and `tools/`. + * **Behavior:** Uses `file_manifest.json` to find files belonging to removed packs. It then prompts the user, showing the exact list of files and asking whether to `[d]elete` them or `[k]eep` them (transferring ownership to the user). + * **Use Case:** To safely clean up leftover template files after removing a pack, without any risk to user-created or customized documents. + +* **`rulebook-ai project clean` / `project clean-rules`** (Largely unchanged, but with clearer scope) + * **`clean`**: The master reset. Removes `memory/`, `tools/`, `.rulebook-ai/`, and all generated rules, after user confirmation. + * **`clean-rules`**: Removes only the configuration and generated rules (`.rulebook-ai/` and rule files), leaving the user's `memory/` and `tools/` context intact. + +user: +think from first principle again is this design good user experience. do pressure test to verify it. + +gemini-2.5-pro: +Excellent. This is the final and most critical step. A design can look perfect on paper, but it only proves its worth when subjected to rigorous, realistic pressure testing. + +Let's conduct this analysis. + +### **High-Level Verdict** + +Yes, this new, revised design provides a **dramatically superior user experience**. It has evolved from a potentially confusing and dangerous tool into a safe, clear, flexible, and powerful framework. It successfully addresses all the critical flaws we previously identified by adhering strictly to a set of core UX first principles. + +### **Analysis Against First Principles** + +Let's evaluate how the final specification holds up against our foundational principles. + +1. **Safety:** **EXCELLENT.** This is the most significant improvement. + * The old spec's `packs remove` command was a data-loss time bomb. The new design completely defuses this threat. + * The introduction of the `file_manifest.json` and the dedicated `project clean-context` command provides a robust, interactive, and opt-in mechanism for cleanup. + * The default `project sync` command is now **guaranteed non-destructive** to user context, which builds immense user trust. + +2. **Clarity & Predictability:** **EXCELLENT.** The new design eliminates ambiguity. + * The separation of `packs status` (what you've configured) and the new `project status` (what is actually active) is a masterstroke of clarity. A user can now, at any time, get a precise and unambiguous answer to "What is my AI assistant using *right now*?" + * The decoupled workflow (`add` then `sync`) makes the outcome of every command predictable. There are no surprising side effects. + +3. **Control & Efficiency:** **EXCELLENT.** The design empowers users to work exactly how they want. + * The inefficient "implicit sync" is gone, replaced by an efficient batch-friendly workflow. + * The user has a full spectrum of control over context composition: + * **Simple:** `project sync` (uses all packs). + * **Convenient:** `project sync --pack ...` (for quick, ad-hoc tasks). + * **Powerful:** `project sync --profile ...` (for complex, recurring workflows). + * This layered approach means the tool is as simple or as complex as the user's immediate need, which is the hallmark of a great developer tool. + +4. **Flexibility & Scalability:** **EXCELLENT.** The design scales gracefully from simple to complex projects. + * A beginner with one project and two packs can use the simple commands and have a great experience. + * A power user with a massive monorepo, twenty packs, and three different AI assistants can use profiles and targeted syncs to precisely manage their environment. The tool's capabilities grow with the user's needs. + +--- + +### **Pressure Test Verification** + +Let's run the most challenging, real-world scenarios against this new specification to see if it holds up. + +#### **Pressure Test 1: "The Messy Handover"** + +* **Scenario:** You are a new developer joining a project that already uses `rulebook-ai`. You clone the repo. The previous developer left without documenting anything. Your task is to understand the current AI setup. +* **Old Design Experience:** You would run `packs status` and see a list of 10 packs. You have *no idea* if your Cursor instance is using all 10, or a subset, or if it's even up to date. You are flying blind. +* **New Design Experience:** + 1. You run `rulebook-ai packs status`. You see the full library: 10 packs are installed, and there are 3 profiles named "frontend," "backend," and "testing." You now understand the project's *potential* contexts. + 2. You then run `rulebook-ai project status`. The output is crystal clear: + ``` + > Cursor: Last synced yesterday using profile 'backend' (4 packs). + > Gemini: Last synced 3 weeks ago using ALL packs (10 packs). Status: Stale. + ``` + 3. In 30 seconds, you have a perfect, unambiguous understanding of the entire system. You know Cursor is set for backend work, and you can see that Gemini's rules are likely out of date. You can immediately make an informed decision to run `project sync --assistant gemini` to bring it up to date. +* **Verdict: PASS.** The design provides outstanding clarity and discoverability, making a complex situation easy to diagnose. + +#### **Pressure Test 2: "The Mid-Task Context Switch"** + +* **Scenario:** You are deep in a debugging session using the "backend" profile. Suddenly, you need to fix an urgent UI bug. You need to switch your AI's context to "frontend" immediately, then switch back without losing your place. +* **Old Design Experience:** This would be a nightmare. You would have to manually edit the configuration, re-sync everything, and then reverse the process. It would be slow and error-prone. +* **New Design Experience:** + 1. `rulebook-ai project sync --assistant cursor --profile frontend` + 2. You fix the UI bug with the AI's help. + 3. `rulebook-ai project sync --assistant cursor --profile backend` +* **Verdict: PASS.** The workflow is fast, explicit, and effortless. It perfectly matches the developer's mental model of "loading" and "unloading" contexts, making the tool feel like a seamless extension of their workflow. + +#### **Pressure Test 3: "The Cautious Refactor"** + +* **Scenario:** The team has decided to deprecate the `legacy-api` pack. You are tasked with removing it, but you're nervous because you know there are customized documents in `memory/legacy_docs/` that might still contain valuable information. You want to remove the pack's rules but keep its documents for archival purposes for now. +* **Old Design Experience:** You would be terrified to run `packs remove`, as the original spec stated it would delete the memory files. You would probably resort to manually deleting files, breaking the integrity of the tool's state. +* **New Design Experience:** + 1. `rulebook-ai packs remove legacy-api`. The command finishes instantly. You are confident that your precious documents are safe. + 2. `rulebook-ai project sync`. The AI's rules are now updated, and the legacy rules are gone. You get a helpful prompt about orphaned files. + 3. `rulebook-ai project clean-context`. The tool interactively shows you the list of *original starter files* from the pack. You choose the `[k]eep` option. The tool now considers these files to be 100% user-owned and will never bother you about them again. +* **Verdict: PASS.** The design transforms a terrifying, dangerous operation into a safe, controlled, and stress-free process. The ability to "release" files from framework management by choosing `[k]eep` is a critical power-user feature. + +### **Final Conclusion** + +The revised v2.0 specification is a resounding success. It has been systematically hardened against real-world user frustrations and potential disasters. It provides a layered experience that is simple on the surface but deeply powerful underneath. By rigorously adhering to the first principles of Safety, Clarity, Control, and Flexibility, this design delivers a truly excellent user experience that will build user trust and empower them in their development workflow. + +user: +think more scenarios for pressure test. then do pressure test whether these new cases also have good user experience + +gemini-2.5-pro: +Excellent. This is precisely the right mindset. A design is only as good as its ability to handle the messy, unexpected, and complex realities of a developer's workflow. Let's push the boundaries with four more challenging pressure tests that target team collaboration, user error, complex ownership, and automation. + +--- + +### **Pressure Test 4: "The Git Merge Conflict"** + +* **Scenario:** You are working on a feature branch and add the `auth-middleware` pack. Meanwhile, your colleague on another branch adds the `logging-service` pack. You both merge into the main branch, creating a classic merge conflict in the `.rulebook-ai/selection.json` file. The project is now in a broken state. How easy is it to recover? + +* **New Design Experience:** + 1. Git flags the conflict in `selection.json`. You open the file and see the standard conflict markers: + ```json + { + "packs": [ + <<<<<<< HEAD + { "name": "auth-middleware", "version": "1.0.0" } + ======= + { "name": "logging-service", "version": "1.1.0" } + >>>>>>> feature/logging + ], + "profiles": {} + } + ``` + 2. Because the state file is simple, human-readable JSON, resolving the conflict is trivial. You manually edit the file to correctly merge the two changes: + ```json + { + "packs": [ + { "name": "auth-middleware", "version": "1.0.0" }, + { "name": "logging-service", "version": "1.1.0" } + ], + "profiles": {} + } + ``` + 3. You save the file and commit the merge. The project's *configuration* is now correct, but the workspace is still out of sync (the rule files are stale, and only one of the pack's starter files is present). + 4. You run a single, simple command: `rulebook-ai project sync`. + 5. The tool reads the now-correct `selection.json`. It sees that the `auth-middleware` starter files already exist but the `logging-service` files are missing, so it adds them. It then completely regenerates all rule files for all detected assistants using the combined context of *both* new packs. + +* **Verdict: PASS.** The design proves to be extremely resilient in a team environment. By using a simple, human-readable state file, it makes merge conflict resolution straightforward. More importantly, the `project sync` command acts as a powerful, idempotent "repair" tool. After any manual state change or merge, running `sync` is all that's needed to bring the entire project workspace back into a consistent and correct state. + +--- + +### **Pressure Test 5: "The State Drift"** + +* **Scenario:** You install the `documentation-generator` pack, which adds `memory/docs/template.md` and `tools/generate_docs.sh`. You decide you don't like the shell script, so you `rm tools/generate_docs.sh` manually. You completely forget you did this. A week later, you remove the pack and go to clean up the context. What happens when the tool's manifest (`file_manifest.json`) is out of sync with reality? + +* **New Design Experience:** + 1. You run `rulebook-ai packs remove documentation-generator`. + 2. You run `rulebook-ai project clean-context`. + 3. The tool reads `file_manifest.json`, which lists both `memory/docs/template.md` and `tools/generate_docs.sh` as owned by the removed pack. + 4. It presents the interactive prompt. When you choose `[d]elete`, it successfully deletes `template.md` but then fails to find `generate_docs.sh`. + 5. Instead of crashing, the tool provides a helpful, non-blocking warning: + ```bash + > Deleting 'memory/docs/template.md'... Done. + > Warning: Could not find 'tools/generate_docs.sh' to delete. It may have been removed manually. + > Context cleanup complete. + ``` + +* **Verdict: PASS.** The design is robust and resilient to "state drift," where the user manually alters files that the framework is tracking. The tool does not crash or fail; it gracefully handles the missing file, informs the user of the discrepancy, and continues its operation. This builds trust that the tool is stable even when the user's workflow is messy. + +--- + +### **Pressure Test 6: "The Ambiguous Ownership Transfer"** + +* **Scenario:** Your project uses two packs: `base-linter` (priority 1) and `python-linter` (priority 2). Both provide a starter file at `tools/lint.sh`. You add both, and because `base-linter` was first, its version of `lint.sh` is created, and `file_manifest.json` lists it as the owner. Now, you decide to remove the `base-linter` pack. What happens to `lint.sh`, which is still required by the active `python-linter` pack? + +* **New Design Experience:** + 1. You run `rulebook-ai packs remove base-linter`. `selection.json` is updated. + 2. You run `rulebook-ai project clean-context`. The tool sees `tools/lint.sh` as an orphaned file belonging to the removed `base-linter`. It prompts you to delete it. You agree and choose `[d]elete`. The file is now gone. Your workspace is "clean" but inconsistent with your desired state. + 3. You run `rulebook-ai project sync` to update your rules. The sync process now performs its context check: + * It reads `selection.json` and sees that `python-linter` is still active. + * It checks the `memory_starters` for `python-linter` and sees that it provides `tools/lint.sh`. + * It checks the workspace and sees that `tools/lint.sh` is **missing**. + * It therefore copies the `lint.sh` file from `python-linter` into your `tools/` directory. + * Crucially, it updates `file_manifest.json`, and the new owner of `tools/lint.sh` is now correctly listed as `python-linter`. + +* **Verdict: PASS.** This complex scenario demonstrates the power of the decoupled, idempotent design. `clean-context` correctly removes the old file based on its manifest. Then, `project sync` correctly "heals" the project by re-creating the file from the next available provider. Ownership is seamlessly and correctly transferred in the manifest. The state of the project always converges to the correct configuration. + +--- + +### **Pressure Test 7: "The Automation Script"** + +* **Scenario:** You are a DevOps engineer tasked with creating a CI script that automatically adds a `ci-testing` pack to the project, syncs it non-interactively, and then cleans it up. The script must never hang waiting for user input. + +* **New Design Experience:** + 1. The script needs to handle potential context conflicts during sync without prompting. It uses the `--conflict-strategy` flag: + `rulebook-ai project sync --assistant cline --conflict-strategy overwrite` + This ensures that if the `ci-testing` pack has files that conflict with existing ones, the new versions will always be used, preventing the script from hanging. + 2. The script now needs to run the cleanup command, which is normally interactive. To handle this, we will specify a new flag, `--force`, for `clean-context`. + `rulebook-ai project clean-context --force` + This flag would bypass the interactive prompt and automatically execute the default safe action (which could be `[k]eep`) or a specified one, for example, `clean-context --action delete`. Let's assume a `--force` flag that accepts the action. + `rulebook-ai project clean-context --action delete --force` + +* **Verdict: PASS.** The design is extensible to non-interactive environments. By providing flags (`--conflict-strategy`, and a proposed `--force` or `--action` flag for cleanup) to bypass interactive prompts, the tool proves it is not just for individual developer workstations but is also a viable component in professional, automated DevOps pipelines. + +--- + +See `implementation_update_plan.md` for the phased implementation strategy. diff --git a/memory/docs/features/manage_rules/old_spec.md b/memory/docs/features/manage_rules/old_spec.md new file mode 100644 index 0000000..6306873 --- /dev/null +++ b/memory/docs/features/manage_rules/old_spec.md @@ -0,0 +1,69 @@ +# Specification: Rulebook-AI CLI + +**1. Overview** + +This document outlines the specification for the `rulebook-ai` command-line interface. This script provides commands for installing, synchronizing, and cleaning AI assistant rule sets, project memory banks, and supporting tools within target project repositories. It uses fixed directory names for simplicity: `project_rules/` (for rule sources), `memory/` (for project context), and `tools/` (for utilities) in the target repository. + +**2. Core Concepts** + +1. **Source Repository (Framework):** The central repository containing master rule sets (from `rule_sets/`), master memory bank starter documents (from `memory_starters/`), and master tool starters (from `tool_starters/`). +2. **Target Repo:** Any project repository where the framework is installed. +3. **Target Project Rules Directory:** A folder named **`project_rules/`** *created inside* the Target Repo during installation. It holds project-specific rule files, copied from a chosen set in the Source Repository. **This folder is considered temporary and is removed by `clean-rules`.** +4. **Target Memory Bank Directory:** A folder named **`memory/`** *created inside* the Target Repo during installation, holding project-specific memory documents. **This folder should be version controlled within the Target Repo.** +5. **Target Tools Directory:** A folder named **`tools/`** *created inside* the Target Repo during installation, holding utility scripts or configurations. **This folder should be version controlled within the Target Repo.** +6. **Target Platform Rules:** The generated, platform-specific rule directories/files (e.g., `.clinerules/`, `.cursor/rules/`, `WARP.md`, etc.) created *inside* the Target Repo by the `sync` command. **These folders/files should be added to the Target Repo's `.gitignore` file.** + +**3. Features & Advantages** + +* **Project-Specific Customization:** Enables each target repository to maintain its own tailored project memory bank and utility tools. +* **Simplified Maintenance:** Rule sets (`project_rules/`) are managed by the script and can be easily cleaned and re-installed. +* **Clear Project Context:** The `memory/` and `tools/` folders serve as the persistent, version-controlled core for project-specific AI guidance. +* **Cleanliness:** Keeps generated platform-specific rules out of the target repository's version control. +* **Focused Cleaning:** `clean-rules` removes rule-related artifacts, leaving core project memory (`memory/`) and tools untouched. `clean-all` provides a complete removal option. + +**4. CLI Commands** + +* **`install [--rule-set ] [--cursor] [--cline] [--roo] [--kilocode] [--warp] [--windsurf] [--copilot] [--claude-code] [--codex-cli] [--gemini-cli] [--all]`** + * **Action:** Installs and configures the framework components in a target repository. + 1. Copies the specified rule set (default: `light-spec`) into `/project_rules/`. + 2. Copies starter files from the framework's `memory_starters/` into `/memory/`. + 3. Copies starter tools from the framework's `tool_starters/` into `/tools/`. + 4. Copies `env.example` and `requirements.txt` to the target repository. + 5. Immediately runs the `sync` logic for the selected assistants. If no assistant flags are provided, it defaults to ALL supported assistants. + * **Behavior:** + * The `project_rules/` directory is treated as ephemeral. If it already exists, it will be cleared and overwritten to ensure a fresh copy of the chosen rule set. + * The `memory/`, `tools/`, `env.example`, and `requirements.txt` are treated as persistent. The install operation is **non-destructive**; it will only add new starter files and will **not** overwrite any existing files in these locations. + * **Output:** Prints progress messages and recommends which files to commit versus which to add to `.gitignore`. + +* **`sync [--cursor] [--cline] [--roo] [--kilocode] [--warp] [--windsurf] [--copilot] [--claude-code] [--codex-cli] [--gemini-cli] [--all]`** + * **Action:** Reads rules from `/project_rules/` and regenerates the platform-specific rules for the selected assistants. If no assistants are specified, it syncs for ALL. + * **Use Case:** Run after manually modifying files within `/project_rules/` to apply the changes. + * **Output:** Prints progress messages. + +* **`clean-rules `** + * **Action:** + 1. Removes all generated Target Platform Rules (e.g., `.clinerules/`, `.cursor/rules/`, etc.). + 2. Removes the `project_rules/` directory. + * **Behavior:** + * The `memory/` and `tools/` directories are **NOT** removed. + * If a rule file is the only item within a directory (e.g., `.github/copilot-instructions.md`), the parent directory (`.github/`) will also be removed. + * **Use Case:** Revert to a clean state without rules, while preserving the project memory bank and tools. + * **Output:** Prints progress messages. + +* **`clean-all `** + * **Action:** Removes **all** framework components from the target repository, including generated rules, `project_rules/`, `memory/`, `tools/`, `env.example`, and `requirements.txt`. + * **Behavior:** + * This is a destructive operation. The command **MUST prompt for user confirmation** before proceeding. + * Like `clean-rules`, it will remove parent directories (e.g., `.github/`) if they become empty after the rule files within them are removed. + * **Use Case:** Completely uninstall all components of the framework from the target repository. + * **Output:** Prints a prominent warning, a confirmation prompt, and a summary of what was removed. + +* **`list-rules`** + * **Action:** Lists all available rule sets from the Source Repository's `rule_sets/` directory. + * **Output:** Prints a list of available rule sets and a link to the Ratings & Reviews wiki. + +* **`bug-report`** + * **Action:** Prints the GitHub issue tracker URL and attempts to open it in the user's default browser. + +* **`rate-ruleset`** + * **Action:** Prints the ratings and reviews wiki URL and attempts to open it in the user's default browser. \ No newline at end of file diff --git a/memory/docs/features/manage_rules/pack_structure_spec.md b/memory/docs/features/manage_rules/pack_structure_spec.md new file mode 100644 index 0000000..e52e7a7 --- /dev/null +++ b/memory/docs/features/manage_rules/pack_structure_spec.md @@ -0,0 +1,57 @@ +# Specification: Pack Structure + +**1. Purpose** + +Defines the required directory layout and naming rules for Rulebook-AI packs. Mapping from these source files to assistant-specific outputs is described in `platform_rules_spec.md`. For step-by-step examples, consult `../community_packs/pack_developer_guide.md`, but this specification remains the source of truth. Community contributions described in `../community_packs/spec.md` must follow this spec to avoid failures during `packs add`, `packs sync`, or `project sync`. + +**2. Design Goals** + +- Provide a universal, verifiable source of project-level rules across all supported assistants. +- Use zero-padded numeric prefixes to guarantee deterministic ordering regardless of filesystem or assistant behavior. +- Keep the structure minimal yet extensible so tooling can automate validation and future features while enabling future assistant mappings. + +A pack is considered well-designed when it can be processed by `packs add`, `packs sync`, and `project sync` without errors, presents a clear deterministic rule sequence, and remains readable for both humans and tooling. + +**3. Required Root Contents** + +A valid pack **must** contain: + +- `manifest.yaml` – metadata for the pack. +- `README.md` – human‑readable description. +- `rules/` – universal source directory for rule files. + +Optional: `memory_starters/` and `tool_starters/` for starter files. +No other files or directories are permitted at the root unless explicitly allowed by future revisions of this spec. + +**4. `manifest.yaml` Requirements** + +`manifest.yaml` must include the following fields: + +- `name` (string) – globally unique pack identifier. The value **must** be a slug consisting only of letters, digits, and dashes: `^[A-Za-z0-9-]+$`. +- `version` (string) – preferably Semantic Versioning. +- `summary` (string) – one‑sentence description. + +Packs lacking these fields are invalid and rejected by the CLI. + +**5. Rules Directory Specification** + +The `rules/` directory drives rule generation for all assistants and **may only contain directories** named with numeric prefixes: + + - At least one numbered rules directory must be present. If a generic directory without `{mode}` is used, it MUST be named `01-rules` so general rules load before mode-specific ones. + - Each direct child of `rules/` **must** be a directory named `NN-rules` or `NN-rules-{mode}`, where `NN` is a zero‑padded number (at least two digits). + - When `{mode}` is present, it must match a supported mode for the target assistant (see `platform_rules_spec.md`). For assistants like Roo Code and Kilo Code, use directories such as `01-rules`, `02-rules-code`, and `03-rules-debug`. + - Files are not allowed directly under `rules/`; each rules directory must contain at least one rule file, and each file must also use a zero‑padded prefix: `NN-.md` (e.g., `05-directory-structure.md`). + - Numeric prefixes for directories and files **must be unique** within their respective parent directories. + - Tooling sorts rule files lexicographically; prefixes guarantee deterministic order for assistants that flatten or concatenate files. Missing or duplicate prefixes are treated as errors by CLI validation. + +**6. Encoding and Visibility** + +- All rule files must be UTF‑8 encoded text. +- Directory and file names must not begin with `.`; hidden files are ignored by `project sync`. +- Rule files **must** use the `.md` extension and contain at least one rule per file. + +**7. CLI Behavior** + +- `packs add` and `packs sync` validate the presence of required root items, manifest fields, and numeric prefixes for directories and files. +- During `project sync`, numeric prefixes are stripped and renamed as needed for target assistants. Files or directories without required prefixes are rejected to avoid undefined ordering. + diff --git a/memory/docs/features/manage_rules/platform_rules_spec.md b/memory/docs/features/manage_rules/platform_rules_spec.md new file mode 100644 index 0000000..af12009 --- /dev/null +++ b/memory/docs/features/manage_rules/platform_rules_spec.md @@ -0,0 +1,29 @@ +# Specification: Target Platform Rules + +This document provides a detailed specification for how the `rulebook-ai` CLI generates platform-specific rule files for various AI assistants. + +## Generation Logic + +Target Platform Rules are the final, assistant-specific rule files generated in a user's project by the `sync` command. Their structure and content are derived from the `rules/` directories of all active packs, composed according to the order defined in the project's `.rulebook-ai/selection.json` file. These source directories must follow the [Pack Structure Spec](pack_structure_spec.md), which enforces numeric prefixes for deterministic ordering. + +The generation logic is determined by a declarative specification for each assistant, which defines two main output formats: + +### 1. Multi-File Assistants + +This format is for assistants that read from a directory of individual rule files (e.g., Cursor, Cline). + +* **Action:** The CLI copies the rule files from each active pack into a single target directory (e.g., `.cursor/rules/`). +* **Modes:** Some multi-file assistants support "modes," represented by `NN-rules-{mode}` subdirectories in the pack's `rules/` folder as defined in the [Pack Structure Spec](pack_structure_spec.md) (e.g., `02-rules-code`, `03-rules-debug`). During sync the numeric prefix is removed and the mode name becomes the subdirectory in the target directory (e.g., `.kilocode/code/`, `.kilocode/debug/`). +* **File Extensions:** The assistant's specification may enforce a specific file extension (e.g., `.mdc` for Cursor). + +### 2. Single-File Assistants + +This format is for assistants that read a single, consolidated rule file (e.g., Warp, GitHub Copilot, Claude). + +* **Action:** The CLI concatenates the content of all rule files from all active packs into a single output file (e.g., `WARP.md`). +* **Order:** The order of concatenation follows the pack order in `selection.json` and the alphabetical order of files within each pack's `rules/` directory and its subdirectories. The `NN-` prefixes mandated by the [Pack Structure Spec](pack_structure_spec.md) ensure this alphabetical ordering is deterministic. + +## Important Considerations + +* **Gitignore:** All generated rule files and directories are considered artifacts that can be regenerated at any time. They should always be added to the Target Repo's `.gitignore` file. +* **Conflict Resolution:** When multiple active packs provide a rule file at the same path, the file from the pack that appears earliest in the `selection.json` list is used. The versions from later packs are ignored, and a warning is issued to the user. diff --git a/memory/docs/features/manage_rules/platform_rules_tests_report.md b/memory/docs/features/manage_rules/platform_rules_tests_report.md new file mode 100644 index 0000000..93d48b0 --- /dev/null +++ b/memory/docs/features/manage_rules/platform_rules_tests_report.md @@ -0,0 +1,33 @@ +# Platform Rules Test Review + +## Summary +This report evaluates existing integration tests related to Target Platform Rules and their alignment with the current composable packs architecture. It also identifies new test coverage needed for the `sync` and cleaning commands. + +## Findings +### `tests/integration/test_cli_commands.py` +- Exercises legacy `install` and `sync` commands. +- Examples: + - `test_install_default_rule_set` checks `.cursor/rules/`, `.roo/rules-architect/01-plan_v1.md`, `WARP.md`, and `.github/copilot-instructions.md` are created. + - `test_sync_with_specific_assistant_flags` modifies a rule then verifies the synced `.windsurf` artifact contains the change. + - `test_sync_detects_existing_assistants` auto-detects assistant directories and syncs new outputs. +- Confirms that `clean-rules` removes these artifacts. +- **Action:** Break up and port scenarios into pack-based tests; once migrated, remove this file. + +### `tests/integration/test_package_installation.py` +- Checks package importability and basic structure. +- Not tied to pack management; can remain as a generic sanity check. + +### `tests/integration/test_rule_manager_integration.py` +- Uses deprecated rule-set `install` workflow. +- Overlaps with new `packs add` tests that already verify `.rulebook-ai/`, `selection.json`, and `file-map.json`. +- **Action:** Remove after confirming new `packs add` and `sync` tests cover needed behavior. + +### `tests/integration/test_tools_integration.py` +- Invokes obsolete CLI commands (`install`, `list-packs`, `doctor`). +- Contains programmatic `RuleManager` checks now covered elsewhere. +- **Action:** Remove; any remaining entry-point smoke tests can be folded into new integration suites. + +## TDD & Task Plan Updates +- Add TDD items for platform rule generation and cleanup. +- Track an integration-test task for platform rules in the task plan (P1). + diff --git a/memory/docs/features/manage_rules/spec.md b/memory/docs/features/manage_rules/spec.md index 371676e..efdf12b 100644 --- a/memory/docs/features/manage_rules/spec.md +++ b/memory/docs/features/manage_rules/spec.md @@ -1,69 +1,117 @@ -# Specification: Rulebook-AI CLI +# Specification: Rulebook-AI CLI (Composable Packs) **1. Overview** -This document outlines the specification for the `rulebook-ai` command-line interface. This script provides commands for installing, synchronizing, and cleaning AI assistant rule sets, project memory banks, and supporting tools within target project repositories. It uses fixed directory names for simplicity: `project_rules/` (for rule sources), `memory/` (for project context), and `tools/` (for utilities) in the target repository. +The `rulebook-ai` command-line interface manages modular "Packs" that bundle AI rules and starter context files. Packs may come from the built-in library or from community contributions. Users build a project library of packs, optionally group them into reusable **Profiles**, and then apply the desired context to their workspace with an explicit **`project sync`** command. The CLI keeps user-owned context in `memory/` and `tools/` while tracking framework state in a hidden `.rulebook-ai/` directory. **2. Core Concepts** -1. **Source Repository (Framework):** The central repository containing master rule sets (from `rule_sets/`), master memory bank starter documents (from `memory_starters/`), and master tool starters (from `tool_starters/`). -2. **Target Repo:** Any project repository where the framework is installed. -3. **Target Project Rules Directory:** A folder named **`project_rules/`** *created inside* the Target Repo during installation. It holds project-specific rule files, copied from a chosen set in the Source Repository. **This folder is considered temporary and is removed by `clean-rules`.** -4. **Target Memory Bank Directory:** A folder named **`memory/`** *created inside* the Target Repo during installation, holding project-specific memory documents. **This folder should be version controlled within the Target Repo.** -5. **Target Tools Directory:** A folder named **`tools/`** *created inside* the Target Repo during installation, holding utility scripts or configurations. **This folder should be version controlled within the Target Repo.** -6. **Target Platform Rules:** The generated, platform-specific rule directories/files (e.g., `.clinerules/`, `.cursor/rules/`, `WARP.md`, etc.) created *inside* the Target Repo by the `sync` command. **These folders/files should be added to the Target Repo's `.gitignore` file.** +1. **Source Repository (Framework):** Hosts a top-level `packs/` directory. Each pack follows the [Pack Structure Spec](pack_structure_spec.md): it must include `manifest.yaml`, `README.md`, and `rules/`, with optional `memory_starters/` and `tool_starters/`. +2. **Target Repo:** Any project repository where packs are added. +3. **Framework State Directory:** A hidden **`.rulebook-ai/`** directory inside the Target Repo. It stores: + * `.rulebook-ai/packs/`: local copies of every added pack. + * **`selection.json`**: an ordered source of truth for the pack library and any defined Profiles. Earlier packs win file conflicts during sync. + * **`file_manifest.json`**: tracks ownership of files created in `memory/` and `tools/` for safe cleanup. + * **`sync_status.json`**: records which packs or profile were last synced to each assistant along with a timestamp. +4. **User Context Directories (`memory/`, `tools/`):** Version-controlled folders owned by the user. The CLI only adds new files here and never overwrites existing ones. +5. **Target Platform Rules:** Assistant-specific rule files generated by `project sync`. For how rules are generated, see [Platform Rules Spec](platform_rules_spec.md). These outputs should be added to `.gitignore`. +6. **Pack Sources:** The CLI ships with built-in packs and can install community packs discovered via a shared index. Community data model, cache location, and collision rules are defined in [`community_packs/spec.md`](../community_packs/spec.md). **3. Features & Advantages** -* **Project-Specific Customization:** Enables each target repository to maintain its own tailored project memory bank and utility tools. -* **Simplified Maintenance:** Rule sets (`project_rules/`) are managed by the script and can be easily cleaned and re-installed. -* **Clear Project Context:** The `memory/` and `tools/` folders serve as the persistent, version-controlled core for project-specific AI guidance. -* **Cleanliness:** Keeps generated platform-specific rules out of the target repository's version control. -* **Focused Cleaning:** `clean-rules` removes rule-related artifacts, leaving core project memory (`memory/`) and tools untouched. `clean-all` provides a complete removal option. - -**4. CLI Commands** - -* **`install [--rule-set ] [--cursor] [--cline] [--roo] [--kilocode] [--warp] [--windsurf] [--copilot] [--claude-code] [--codex-cli] [--gemini-cli] [--all]`** - * **Action:** Installs and configures the framework components in a target repository. - 1. Copies the specified rule set (default: `light-spec`) into `/project_rules/`. - 2. Copies starter files from the framework's `memory_starters/` into `/memory/`. - 3. Copies starter tools from the framework's `tool_starters/` into `/tools/`. - 4. Copies `env.example` and `requirements.txt` to the target repository. - 5. Immediately runs the `sync` logic for the selected assistants. If no assistant flags are provided, it defaults to ALL supported assistants. +* **Composable Packs:** Multiple packs can coexist in a project. `selection.json` tracks both the pack library and any Profiles that group packs for reuse, preserving pack order for deterministic conflict resolution. +* **Explicit Configuration and Applied State:** `selection.json` records configuration while `sync_status.json` captures what was last applied to each assistant with timestamps. +* **Project-Controlled Context:** `memory/` and `tools/` hold the composed context and remain under version control. +* **Community Ecosystem:** Users can discover and install community-created packs through the shared index described in [`community_packs/spec.md`](../community_packs/spec.md). +* **Cleanliness:** Generated platform rules are kept out of version control, and framework state is isolated in `.rulebook-ai/`. +* **Focused Cleaning:** `project clean-rules` removes only rule-related artifacts, preserving project memory and tools. `project clean` removes all framework state after confirmation. + +**4. Project Sync Workflow** + +The CLI regenerates Target Platform Rules only when the user explicitly runs **`rulebook-ai project sync`**. `packs` and `profiles` commands modify configuration but never touch `memory/`, `tools/`, or generated rules. `project sync` reads `selection.json`, composes context from the chosen packs, updates `file_manifest.json`, writes platform rules, and records results in `sync_status.json`. + +**5. CLI Commands** + +Commands are grouped into **packs**, **profiles**, and **project** categories. [`community_packs/spec.md`](../community_packs/spec.md) supplements these commands with the community index data model, cache location, slug resolution, and name‑collision rules. + +* **`rulebook-ai packs list`** + * **Action:** Lists available built-in and community packs. + * **Behavior:** Reads pack metadata from the Source Repository's `packs/` directory and the Local Index Cache; community packs are labeled `(community)` and no network access occurs. + * **Output:** Prints each pack's name, version, and description. + * **Use Case:** Explore available packs before selecting one to add to a project. + +* **`rulebook-ai packs update`** + * **Action:** Updates the Local Index Cache of community packs. + * **Behavior:** Fetches the latest `packs.json` from the Public Index Repository and stores it in the shared cache inside the Python package. Cache format and validation rules are detailed in [`community_packs/spec.md`](../community_packs/spec.md). + * **Use Case:** Refresh the list of discoverable community packs. This is the only `packs` subcommand that accesses the network. + +* **`rulebook-ai packs add `** + * **Action:** Adds one or more packs to the project's library from different sources. * **Behavior:** - * The `project_rules/` directory is treated as ephemeral. If it already exists, it will be cleared and overwritten to ensure a fresh copy of the chosen rule set. - * The `memory/`, `tools/`, `env.example`, and `requirements.txt` are treated as persistent. The install operation is **non-destructive**; it will only add new starter files and will **not** overwrite any existing files in these locations. - * **Output:** Prints progress messages and recommends which files to commit versus which to add to `.gitignore`. - -* **`sync [--cursor] [--cline] [--roo] [--kilocode] [--warp] [--windsurf] [--copilot] [--claude-code] [--codex-cli] [--gemini-cli] [--all]`** - * **Action:** Reads rules from `/project_rules/` and regenerates the platform-specific rules for the selected assistants. If no assistants are specified, it syncs for ALL. - * **Use Case:** Run after manually modifying files within `/project_rules/` to apply the changes. - * **Output:** Prints progress messages. - -* **`clean-rules `** - * **Action:** - 1. Removes all generated Target Platform Rules (e.g., `.clinerules/`, `.cursor/rules/`, etc.). - 2. Removes the `project_rules/` directory. + 1. The `` format determines the pack's source. The supported formats are: + * **`local:`:** Installs a pack from a local filesystem path (e.g., `local:./my-pack`). + * **`github:/[/path]`:** Installs a pack from a GitHub repository (e.g., `github:cool-org/awesome-pack`). + * **``:** Installs a pack by name. The CLI first searches for a built-in pack, then queries the community index. + 2. The CLI resolves the pack source based on the input. If the source cannot be found or the format is invalid, the command aborts. + 3. Validates the pack structure against [Pack Structure Spec](pack_structure_spec.md); any violation aborts the command. + 4. Handles installation into `.rulebook-ai/packs//` with the following logic: + * **Name Collision (Different Source):** If a pack with the same `name` is already installed but from a *different* source (e.g., a community pack has the same name as a built-in pack), the command aborts with an error. This prevents ambiguity. + * **Re-installation (Same Source):** If a pack is already installed from the *same* source (e.g., re-running `packs add` for an existing pack), the CLI proceeds by removing the old directory and performing a fresh installation. This makes the operation idempotent and allows it to be used for refreshing/updating a pack. + * **New Installation:** If the name is not in use, the pack is installed directly. + 5. Appends the chosen name and version to the ordered list in `selection.json` if it's not already present. + 6. Does **not** modify `memory/`, `tools/`, or generated rules; users must run `project sync` to apply changes. + * **Use Case:** Expand the pack library from local, remote, or indexed sources. + +* **`rulebook-ai packs remove `** + * **Action:** Removes pack sources from the project's library. * **Behavior:** - * The `memory/` and `tools/` directories are **NOT** removed. - * If a rule file is the only item within a directory (e.g., `.github/copilot-instructions.md`), the parent directory (`.github/`) will also be removed. - * **Use Case:** Revert to a clean state without rules, while preserving the project memory bank and tools. - * **Output:** Prints progress messages. + 1. Deletes the pack's entry from `selection.json`. + 2. Removes the pack directory from `.rulebook-ai/packs/`. + 3. Leaves existing context files untouched until the next `project sync` or `project clean-context`. + * **Use Case:** Prune packs that are no longer needed. + +* **`rulebook-ai packs status`** + * **Action:** Displays the configured pack library and defined Profiles from `selection.json`. + * **Output:** Lists all packs in library order followed by each profile and its constituent packs. + * **Use Case:** Understand available packs and their compositions. -* **`clean-all `** - * **Action:** Removes **all** framework components from the target repository, including generated rules, `project_rules/`, `memory/`, `tools/`, `env.example`, and `requirements.txt`. +* **`rulebook-ai profiles create ` / `delete ` / `add --to ` / `remove --from ` / `list`** + * **Action:** Manage named Profiles that group packs for reuse. + * **Use Case:** Maintain reusable contexts for recurring tasks. + +* **`rulebook-ai project sync [--assistant ...] [--profile ] [--pack ...]`** + * **Action:** Applies context to the workspace. If no packs or profile are specified, all packs are used. * **Behavior:** - * This is a destructive operation. The command **MUST prompt for user confirmation** before proceeding. - * Like `clean-rules`, it will remove parent directories (e.g., `.github/`) if they become empty after the rule files within them are removed. - * **Use Case:** Completely uninstall all components of the framework from the target repository. - * **Output:** Prints a prominent warning, a confirmation prompt, and a summary of what was removed. + 1. Reads `selection.json` to determine the pack list (all, profile, or ad‑hoc pack flags). + 2. For each selected pack, copies starter files into `memory/` and `tools/` only if they do not already exist, recording creations in `file_manifest.json`. + 3. Rebuilds assistant-specific rule files, removing any previous generated rules. + 4. Writes `sync_status.json` noting timestamp, assistant, and context source. + * **Use Case:** Refresh rules after configuration changes or when switching contexts. + +* **`rulebook-ai project status`** + * **Action:** Shows which context was last synced to each assistant using `sync_status.json`. + * **Output:** For each assistant, reports last sync timestamp and whether context came from all packs, a profile, or an explicit pack list. + * **Use Case:** Verify the live state of the workspace. -* **`list-rules`** - * **Action:** Lists all available rule sets from the Source Repository's `rule_sets/` directory. - * **Output:** Prints a list of available rule sets and a link to the Ratings & Reviews wiki. +* **`rulebook-ai project clean-context [--action delete|keep] [--force]`** + * **Action:** Removes orphaned starter files from `memory/` and `tools/` using `file_manifest.json`. + * **Behavior:** Lists files tied to removed packs and prompts to delete or keep them. `--action` sets the default choice and `--force` skips prompts. + * **Use Case:** Safely clean up context files after removing packs. -* **`bug-report`** +* **`rulebook-ai project clean`** + * **Action:** Removes `.rulebook-ai/`, `memory/`, `tools/`, and all generated rules. + * **Behavior:** Destructive operation that **must prompt for user confirmation**. Parent directories (e.g., `.github/`) are removed if they become empty. + * **Output:** Prints a prominent warning, a confirmation prompt, and a summary of removed paths. + * **Use Case:** Completely uninstall Rulebook-AI components from a project. + +* **`rulebook-ai project clean-rules`** + * **Action:** Deletes `.rulebook-ai/` and generated rule files while preserving `memory/` and `tools/`. + * **Behavior:** If a rule file is the only item in a directory, its parent directory is also removed. + * **Use Case:** Revert to a clean state without generated rules. + +* **`rulebook-ai bug-report`** * **Action:** Prints the GitHub issue tracker URL and attempts to open it in the user's default browser. -* **`rate-ruleset`** +* **`rulebook-ai rate-ruleset`** * **Action:** Prints the ratings and reviews wiki URL and attempts to open it in the user's default browser. + diff --git a/memory/docs/features/manage_rules/support_flexible_ruleset_plan.md b/memory/docs/features/manage_rules/support_flexible_ruleset_plan.md new file mode 100644 index 0000000..5455129 --- /dev/null +++ b/memory/docs/features/manage_rules/support_flexible_ruleset_plan.md @@ -0,0 +1,142 @@ +# Implementation Plan: Composable AI Packs + +This document provides the canonical implementation plan for refactoring `rulebook-ai` to a composable "Pack" model. It combines the high-level architectural vision with a detailed, phased roadmap for developers. + +Commands not covered here—such as `bug-report` or `rate-ruleset`—retain their legacy behavior documented in [`spec.md`](spec.md). + +## 1. First Principles + +* **AI Context is King:** The primary goal is to create a unified, rich, and accessible context for the AI assistant in the target project's `memory/` and `tools/` directories. +* **Explicitness over Implicitness:** The state of the project (which packs are active and in what order) must be explicitly recorded in a machine-readable file. +* **User-Centricity:** The developer's workflow should be simple. The CLI should be intuitive, conventional, and provide clear status information. +* **Separation of Concerns:** The framework's internal state (`.rulebook-ai/`) must be separate from the user's project files (`memory/`, `tools/`). + +## 2. Conceptual Changes + +* **"Rule Set" is deprecated.** The new, holistic unit is a **"Pack"**. +* **`project_rules/` is obsolete.** The `sync` command will no longer read from this directory. All rule composition will be based on the active packs. + +## 3. Phase 1: Source Repository Restructuring + +The first step is to migrate the existing source repository structure to the new Pack-based model. + +**Action:** Create a new top-level `packs/` directory. Migrate the existing `rule_sets/`, `src/rulebook_ai/memory_starters/`, and `src/rulebook_ai/tool_starters/` into this new structure. + +**New Structure:** + +``` +packs/ +├── light-spec/ +│ ├── rules/ # (from rule_sets/light-spec/) +│ ├── memory_starters/ # (from src/rulebook_ai/memory_starters/) +│ ├── tool_starters/ # (from src/rulebook_ai/tool_starters/) +│ ├── manifest.yaml # <== NEW +│ └── README.md # <== NEW +│ +└── heavy-spec/ + └── ... (etc.) +``` + +**`manifest.yaml` Specification:** + +Each pack directory **must** contain a `manifest.yaml`: + +```yaml +# packs/light-spec/manifest.yaml +name: "Light Spec" +version: "1.0.0" +summary: "A lightweight, general-purpose pack for coding assistance with basic project context." +``` + +## 4. Phase 2: Target Project Structure + +**Action:** The CLI will manage a hidden `.rulebook-ai/` directory in the target project. + +**Target Structure:** + +``` +your-target-project/ +│ +├── .rulebook-ai/ # Hidden directory for internal state +│ ├── packs/ # Contains a full copy of each active pack's source +│ │ └── light-spec/ +│ └── selection.json # Source of truth for active packs (order matters) +│ +├── memory/ # User-owned, unified AI context +├── tools/ # User-owned, unified tools +│ +└── .cursor/ # Generated platform rules (gitignored) +``` + +**`selection.json` Specification:** Each entry records the pack's name and version. + +```json +{ + "packs": [ + { "name": "light-spec", "version": "1.0.0" }, + { "name": "python-data-scientist", "version": "2.3.0" } + ] +} +``` + +## 5. Phase 3: CLI Command Evolution + +**Action:** Refactor `src/rulebook_ai/cli.py` to implement the new, more intuitive command structure. The old commands will be replaced as follows: + +| Old Command | New Command(s) | Purpose | +| :--- | :--- | :--- | +| `list-rules` | `rulebook-ai packs list` | Lists all available packs from the source repository. | +| `install` | `rulebook-ai packs add ` | Adds a pack to the target project and triggers an implicit `sync`. | +| (n/a) | `rulebook-ai packs remove ` | Removes a pack and triggers an implicit `sync`. | +| (n/a) | `rulebook-ai packs status` | Shows the active packs, their versions, and their order. | +| `sync` | `rulebook-ai sync` | Regenerates all rules and starters from active packs. Supports `--strict` to fail on file conflicts *(optional, low priority)*, `--force` to overwrite on conflict *(optional, low priority)*, and `--rebuild` to purge `memory/` and `tools/` before copying *(optional, low priority)*. | +| `clean-all` | `rulebook-ai clean` | Removes the `.rulebook-ai` dir, `memory/`, `tools/`, and generated rules (destructive). | +| `clean-rules` | `rulebook-ai clean-rules` | Deletes `.rulebook-ai` and generated rules but preserves `memory/` and `tools`. | + +## 6. Phase 4: Core Logic Refactoring (`src/rulebook_ai/core.py`) + +**Action:** Refactor the `RuleManager` class to implement the new pack logic. + +1. **Remove `install()` method:** This is replaced by `add_pack()`. +2. **Create `add_pack(pack_name)`:** + * Validates that the pack exists in the source `packs/` dir. + * Copies the pack source into the target's `.rulebook-ai/packs/`. + * Appends the pack's `name` and `version` to `.rulebook-ai/selection.json`. + * Calls `self.sync()` in implicit mode to update existing assistant rules and merge `memory/` and `tools`. +3. **Create `remove_pack(pack_name)`:** + * Removes the pack from `selection.json`. + * Deletes the pack's source from `.rulebook-ai/packs/`. + * Uses the per-pack file map to purge `memory/` and `tools` files owned by the pack. + * Calls `self.sync()` in implicit mode. +4. **Heavily Refactor `sync()`:** + * Sync operates in two modes: + * **Explicit** – user passes assistant flags (e.g., `--cursor`); only those assistants are regenerated. + * **Implicit** – no flags; used by `add`/`remove` to rebuild rules only for assistants that already have rule directories. + * **Delete all existing generated platform rules** (using `assistants.py` spec). + * Read the ordered list of pack entries (name and version) from `.rulebook-ai/selection.json`. + * **Compose `memory/` and `tools/`:** + * Iterate through the active packs *in order*. + * For each file in a pack's `memory_starters/` and `tool_starters/`, perform a **non-destructive copy** to the top-level `memory/` and `tools/`. Record each copied path in `.rulebook-ai/packs//file-map.json`. + * The first pack to provide a file "wins." If a later pack contains a file that already exists, skip it and log a warning so users know which pack was ignored. + * Support a `--strict` mode that aborts the sync when any such conflict is detected *(optional, low priority)*. + * Support a `--force` flag that overwrites conflicting files from later packs *(optional, low priority)*. + * Support a `--rebuild` flag that purges previously copied `memory/` and `tools` files before performing the copy *(optional, low priority)*. + * **Compose AI Rules:** + * Gather all rule files from the `rules/` directory of *every* active pack. + * Concatenate them into a single stream, respecting the order from `selection.json`. +5. **Refactor `clean_all()` to `clean()` and add `clean_rules()`:** + * `clean()` removes the entire `.rulebook-ai/` directory, `memory/`, `tools/`, and all generated platform rules. It must retain its safety confirmation prompt. + * `clean_rules()` deletes only `.rulebook-ai/` and generated platform rules, preserving the top-level `memory/` and `tools/` directories. + +## 7. Phase 5: CLI Refactoring (`src/rulebook_ai/cli.py`) + +**Action:** Update the `argparse` configuration and handler functions to match the new command structure defined in Phase 3. + +* Create sub-parsers for the `packs` command group (`list`, `add`, `remove`, `status`). +* The `packs add` and `packs remove` commands will take a `pack_name` argument. +* The main handler will route subcommands to the new methods in `RuleManager` (`add_pack`, `remove_pack`, etc.). +* Expose both `clean` and `clean-rules` top-level commands, each prompting for confirmation before deleting files. +* Add a `--strict` option to `sync` that aborts on file conflicts *(optional, low priority)*; without it, sync emits warnings when later packs are skipped. +* Add a `--force` option to `sync` that overwrites conflicting files *(optional, low priority)*. +* Add a `--rebuild` option to `sync` that purges `memory/` and `tools/` before copying from active packs *(optional, low priority)*. +* The `--cursor`, `--cline`, etc. flags are no longer needed for `add`/`remove`, but should be kept for the `sync` command to allow targeted syncs for specific assistants. diff --git a/memory/docs/features/manage_rules/task_plan.md b/memory/docs/features/manage_rules/task_plan.md index a76932a..9f670e6 100644 --- a/memory/docs/features/manage_rules/task_plan.md +++ b/memory/docs/features/manage_rules/task_plan.md @@ -1,14 +1,108 @@ -# Task Plan: Manage Rules Feature +# Task Plan: Manage Rules Feature (Composable Packs) ## 🎯 Goal -This document tracks the development tasks for the "Manage Rules" feature of the `rulebook-ai` CLI. +Track the implementation work required to migrate the CLI to the composable Pack architecture. --- -### General Tasks +### Phase 0: Documentation Baseline -| Task ID | Description | Importance | Status | Dependencies | -|:--------|:-----------------------------------------------------------------------------------------|:-----------|:------------|:------------------| -| **T1** | Refactor the feature documentation to separate the specification, implementation, and task planning. | P1 | Completed | - | -| **T2** | *(Placeholder for next feature enhancement or bug fix)* | P_ | To Do | - | +**Description:** Establish clear specification and design references. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **0.1** | Consolidate pack-based CLI spec in `spec.md`. | P0 | Completed | - | +| **0.2** | Document implementation design and workflows in `implementation_design.md`. | P0 | Completed | 0.1 | +| **0.3** | Finalize phased implementation roadmap in `support_flexible_ruleset_plan.md`. | P0 | Completed | 0.2 | + +### Phase 1: Source Repository Restructuring + +**Description:** Move legacy assets into a `packs/` directory with per-pack metadata. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **1.1** | Create top-level `packs/` directory and migrate existing `rule_sets`, `memory_starters`, and `tool_starters`. | P1 | Completed | 0.3 | +| **1.2** | Add `manifest.yaml` for each pack recording name, version, and summary. | P1 | Completed | 1.1 | +| **1.3** | Provide `README.md` in each pack describing its purpose. | P3 | To Do | 1.2 | + +### Phase 2: Target Project Structure + +**Description:** Establish hidden state and persistent context directories in user projects. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **2.1** | Initialize `.rulebook-ai/` directory with per-pack copies and machine-readable `selection.json`. | P0 | Completed | 1.1 | +| **2.2** | Ensure `memory/` and `tools/` directories are created and tracked under version control. | P0 | Completed | 2.1 | +| **2.3** | Maintain per-pack `file-map.json` to track starter files for clean removal. | P1 | Completed | 2.1 | + +### Phase 3: CLI Command Evolution + +**Description:** Replace legacy rule-set commands with a pack-focused interface. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **3.1** | Implement `rulebook-ai packs list` showing pack name, version, and description. | P0 | Completed | 1.2 | +| **3.2** | Implement `packs add ` with implicit sync and refresh of existing pack copy. | P0 | Completed | 2.1 | +| **3.3** | Implement `packs remove ` with implicit sync and cleanup of starter files. | P0 | Completed | 2.3 | +| **3.4** | Implement `packs status` to display active packs in order. | P1 | Completed | 2.1 | +| **3.5** | Implement basic `sync` command (advanced options deferred). | P1 | Completed | 3.2 | +| **3.6** | Add `clean` and `clean-rules` commands with safety prompts. | P1 | Completed | 2.1 | +| **3.7** | Establish `packs add` template with integration test. | P0 | Completed | 3.2 | + +### Phase 4: Core Logic Refactoring + +**Description:** Extend `RuleManager` to manage packs and compose outputs. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **4.1a** | Implement `list_packs` and `add_pack` methods. | P0 | Completed | 3.1 | +| **4.1b** | Implement `remove_pack` and `status` methods. | P0 | Completed | 3.1 | +| **4.2** | Refactor `sync()` for explicit and implicit modes, conflict handling, and per-pack precedence. | P0 | Completed | 3.5 | +| **4.3** | Implement `clean()` and `clean_rules()` aligned with new state layout. | P1 | Completed | 4.1 | +| **4.4** | Read `manifest.yaml` and maintain per-pack file maps. | P1 | Completed | 4.1 | + +### Phase 5: CLI Refactoring + +**Description:** Wire argument parsing and handlers to the new core logic. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **5.1a** | Create `packs` subparsers with `list` and `add`. | P0 | Completed | 3.1 | +| **5.1b** | Add `remove` and `status` subcommands. | P0 | Completed | 3.1 | +| **5.2** | Expose `sync` assistant flags and options from `SUPPORTED_ASSISTANTS`. | P1 | Completed | 4.2 | +| **5.3** | Expose top-level `clean` and `clean-rules` commands. | P1 | Completed | 4.3 | +| **5.4** | Provide clear progress messages and commit/ignore hints. | P3 | To Do | 5.1 | + +### Phase 6: Testing & Documentation + +**Description:** Validate behavior and keep documentation current. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **6.1a** | Add integration test for `packs add` workflow. | P0 | Completed | 5.1a | +| **6.1b** | Add integration tests for `remove` and `status` workflows. | P0 | Completed | 5.1b | +| **6.1c** | Add integration test for `packs list` workflow. | P0 | Completed | 5.1a | +| **6.1d** | Expand integration tests for pack edge cases (multi-pack add, error handling). | P1 | Completed | 6.1a | +| **6.1e** | Add integration tests for platform rule generation and cleanup. | P1 | Completed | 5.2, 5.3 | +| **6.1f** | Audit legacy integration tests (`test_cli_commands.py`, `test_rule_manager_integration.py`, `test_tools_integration.py`) and retire or refactor as needed. | P1 | Completed | 6.1e | +| **6.1g** | Restore package smoke test (`test_package_installation.py`) to verify importability and basic structure. | P2 | Completed | 6.1f | +| **6.2** | Update unit tests for `RuleManager` pack logic. | P0 | Completed | 4.2 | +| **6.2b** | Add unit tests for add/remove/sync/clean/status logic. | P2 | To Do | 6.2 | +| **6.3** | Document workflows and examples in README and feature docs. | P1 | To Do | 6.1 | + +### Phase 7: UX Refactor (Decouple Configuration from Application) + +**Description:** Update the CLI to match the improved user-experience design with explicit project syncing and profiles. + +| Task ID | Description | Importance | Status | Dependencies | +|:--------|:------------|:-----------|:-------|:-------------| +| **7.1** | Update `packs add` and `packs remove` to configuration-only commands (remove implicit sync). Requires revisiting tasks **3.2** and **3.3**. | P0 | Completed | 4.2 | +| **7.2** | Introduce Profiles command group and extend `selection.json` schema. | P0 | Completed | 7.1 | +| **7.3** | Implement `project sync` with `--pack` and `--profile` flags, updating `file_manifest.json` and writing `sync_status.json`. Supersedes task **3.5**. | P0 | Completed | 7.2 | +| **7.4** | Implement `project status` command to read `sync_status.json`. | P1 | Completed | 7.3 | +| **7.5** | Replace top-level `clean` and `clean-rules` with `project clean` and `project clean-rules`, preserving confirmation prompt for `project clean`. Update references from task **3.6**. | P1 | Completed | 7.3 | +| **7.6** | Review existing tests and remove or update ones tied to implicit sync or deprecated commands. | P1 | Completed | 7.3 | +| **7.7** | Add integration tests for `profiles` and `project` command group workflows. | P0 | Completed | 7.3 | +| **7.8** | Implement `project clean-context` command with non-interactive flags; plan further interactive prompts. | P3 | Completed | 7.3 | +| **7.9** | Refactor `packs add` to use a prefix-based system (`local:`, `github:`) for specifying pack sources, removing ambiguous resolution. | P0 | Completed | 7.1 | diff --git a/memory/docs/literature/custom_rules_mode_UI_roo_code_kilo_code_update.md b/memory/docs/literature/custom_rules_mode_UI_roo_code_kilo_code_update.md new file mode 100644 index 0000000..afeaa8b --- /dev/null +++ b/memory/docs/literature/custom_rules_mode_UI_roo_code_kilo_code_update.md @@ -0,0 +1,43 @@ +this file document contradiction of docs about mode-specific rules and the real result from UI operation. +STATUS: this contradition not resolved in code yet. + +.roomodes + +customModes: + - slug: hello-guy + name: Hello-guy + description: you always say hello to users + roleDefinition: you always say hello to users + customInstructions: no matter what user says, always say hello to him + groups: + - read + - edit + source: project + +.kilocodemodes + +customModes: + - slug: say-hello + name: say-hello + description: you always say hello + roleDefinition: you always say hello + customInstructions: you always say hello no matter what user say + groups: + - read + - edit + - browser + - command + - mcp + source: project + - slug: say-hello-2 + name: say-hello-2 + description: you always say hello + roleDefinition: you always say hello + customInstructions: you always say hello no matter what user say + groups: + - read + - edit + - browser + - command + - mcp + source: project \ No newline at end of file diff --git a/memory/docs/user_guide/software_documentation_guides.md b/memory/docs/user_guide/software_documentation_guides.md new file mode 100644 index 0000000..0cbc9ab --- /dev/null +++ b/memory/docs/user_guide/software_documentation_guides.md @@ -0,0 +1,6 @@ +## Additional Notes: + +1. **Product Requirements Documents (PRDs):** PRDs serve multiple purposes: defining product scope and goals, aligning stakeholders across teams, and mitigating risks early in development. They offer significant utility by providing clarity on product vision, prioritizing features, ensuring quality, and enabling traceability throughout the development lifecycle . While traditionally detailed in Waterfall, PRDs are adapted for Agile methodologies as leaner, iterative documents. Related documents include Market Requirements Documents (MRDs) and Functional Requirements Documents (FRDs). +2. **Architecture Documentation:** It serves to preserve design rationale, support scalability, and facilitate decision-making. Key benefits include improved knowledge sharing, risk mitigation, and stakeholder communication. Types of architecture documentation vary, including decision-centric ADRs, structural C4 model diagrams, and behavioral sequence diagrams. Frameworks like arc42 provide structured templates for comprehensive architecture documentation. +3. **Technical Specifications:** Technical Specifications Documents (TSDs) serve as blueprints translating business needs into technical guidelines. They clarify project vision, bridge stakeholder communication, and mitigate risks. TSDs are highly useful for engineers as step-by-step guides, for teams as alignment tools, and for projects in ensuring accountability. Technical documentation broadly includes process documentation (user manuals, API docs), and specialized specs for IT or Agile projects. A robust TSD enhances project clarity and reduces failure risks associated with unclear requirements. +4. **RFCs (Request for Comments):** Request for Comments (RFCs) are structured proposals for technical decision-making and standardization. They document technical specifications, solicit feedback, and preserve institutional knowledge. RFCs enhance utility by reducing silos, mitigating risks, and ensuring decision traceability. Types range from standards-track protocol specifications to organizational RFCs for team-specific designs. Modern RFCs often include problem statements, proposed solutions, alternatives, rollout plans, and security impact assessments. While RFCs improve decision quality, they also pose challenges like time overhead and consensus bottlenecks. \ No newline at end of file diff --git a/memory/docs/user_guide/tutorial.md b/memory/docs/user_guide/tutorial.md new file mode 100644 index 0000000..6024942 --- /dev/null +++ b/memory/docs/user_guide/tutorial.md @@ -0,0 +1,244 @@ +# Rulebook-AI: A Step-by-Step Tutorial + +## Introduction + +Welcome to `rulebook-ai`! This tutorial will guide you through the core features of the command-line tool. We'll start with an empty project and progressively build up a sophisticated, multi-environment setup for your AI assistants. + +**Goal:** To learn how to manage AI environments (rules, context, and tools) using packs and profiles. + +**Prerequisites:** +* `uv` is installed (`curl -fsSL https://astral.sh/uv/install.sh | bash`). +* You are working in a project directory you want to add AI rules to. + +--- + +## Chapter 1: Your First Sync + +Let's start by adding a basic environment to your project. We'll use the built-in `light-spec` pack, which provides a great general-purpose starting point for software development. + +**1. Add the `light-spec` Pack** + +Run the following command: + +```bash +uvx rulebook-ai packs add light-spec +``` + +What did this do? +* It created a `.rulebook-ai/` directory in your project to store configuration and local copies of packs. +* It downloaded the `light-spec` pack into `.rulebook-ai/packs/`. +* It updated `.rulebook-ai/selection.json`, which tracks the library of packs added to your project. + +At this point, you have only added the pack to your project's *library*. You haven't applied it yet. + +**2. Sync the Environment** + +Now, let's apply the pack to your workspace: + +```bash +uvx rulebook-ai project sync +``` + +This is the most important command. Here’s what it did: +* It read your library of packs (right now, just `light-spec`). +* It copied the starter files from the pack into `memory/` and `tools/` directories. These are for you to own and edit. +* It generated the final, assistant-specific rule files (like `.cursor/rules/` and `GEMINI.md`) based on the pack's contents. + +Your project directory should now look something like this: + +``` +my-project/ +├── .rulebook-ai/ # Framework state (add to .gitignore) +├── .cursor/ # Generated rules for Cursor (add to .gitignore) +├── memory/ # Your AI's long-term memory (commit to git) +└── tools/ # Your AI's toolbox (commit to git) +``` + +You now have a foundational AI environment! You can edit the files in `memory/` to give your AI deep project context. + +--- + +## Chapter 2: Composing Environments with Multiple Packs + +The real power of `rulebook-ai` comes from combining packs. Let's imagine your project uses React and you want to add a specialized pack for React development. + +**1. Discover Community Packs** + +First, let's see what packs are available from the community. + +```bash +# Fetches the latest list of community packs +uvx rulebook-ai packs update + +# Lists all available built-in and community packs +uvx rulebook-ai packs list +``` + +Let's assume you find a pack named `community-react-pack` that looks promising. + +**2. Add the React Pack** + +```bash +uvx rulebook-ai packs add community-react-pack +``` + +Now, check your project's status: + +```bash +rulebook-ai packs status +``` + +The output will show that your library now contains both `light-spec` and `community-react-pack`. + +**3. Sync Your Composed Environment** + +Run the sync command again: + +```bash +uvx rulebook-ai project sync +``` + +`rulebook-ai` is smart. It now combines the rules and starter files from **both** packs. If there are any conflicts (e.g., both packs provide a `README.md` starter), the pack that was added first (`light-spec`) wins. This order is preserved in `selection.json`. + +Your AI now has both general software engineering knowledge and specific expertise in React! + +--- + +## Chapter 3: Specializing with Profiles + +Most projects involve different kinds of work. You might be writing backend code one day and frontend code the next. **Profiles** let you create named groups of packs so you can easily switch between these different contexts. + +**1. Create Profiles** + +Let's create two profiles, `frontend` and `backend`. + +```bash +rulebook-ai profiles create frontend +rulebook-ai profiles create backend +``` + +**2. Assign Packs to Profiles** + +Now, let's assign our existing packs to these profiles. + +```bash +# Add the react pack to the 'frontend' profile +rulebook-ai profiles add community-react-pack --to frontend + +# Add the general-purpose pack to both +rulebook-ai profiles add light-spec --to frontend +rulebook-ai profiles add light-spec --to backend +``` + +**3. Sync a Specific Profile** + +Now, when you're doing frontend work, you can sync just that profile: + +```bash +uvx rulebook-ai project sync --profile frontend +``` + +This will generate rules based *only* on the packs in the `frontend` profile (`light-spec` and `community-react-pack`). + +When you switch to backend work, you can apply a different environment: + +```bash +uvx rulebook-ai project sync --profile backend +``` + +This regenerates the rules using only the `backend` profile's packs (just `light-spec` in this case). You now have a powerful way to give your AI the exact context it needs for the job at hand. + +**Bonus Tip: Targeting Specific Assistants** + +By default, `project sync` generates rules for all supported AI assistants. If you only use one or two, you can keep your project tidy by targeting them specifically with the `--assistant` flag. + +You can combine this with profiles: + +```bash +# Sync the frontend profile, but only for Cursor and Gemini +uvx rulebook-ai project sync --profile frontend --assistant cursor --assistant gemini +``` + +This will skip creating rule files for other assistants like RooCode or Windsurf. + +--- + +## Chapter 4: Advanced Pack Sources + +While the community index is great for discovering packs, you have more advanced options for adding them. + +### Using a Pack Directly from GitHub + +You can use any pack directly from a public GitHub repository, even if it's not in the community index. This is perfect for trying out a friend's new pack or using a development version. + +Use the `github:` prefix followed by the `user/repo` slug: + +```bash +# Add a pack directly from a GitHub URL +uvx rulebook-ai packs add github:some-user/their-awesome-pack +``` + +### Developing a Pack Locally + +This is the most important workflow when you are building your own pack. The `local:` prefix lets you add a pack from a directory on your computer. + +Imagine you are building `my-cool-pack` in a folder next to your current project. You can add it like this: + +```bash +# Add a pack from a local directory +uvx rulebook-ai packs add local:../my-cool-pack +``` + +Now you can run `uvx rulebook-ai project sync` in your main project to test your local pack's changes in a real environment. This creates a tight feedback loop for development. + +--- + +## Chapter 5: Managing Your Workspace + +Here are a few essential commands for managing your `rulebook-ai` project. + +* **Check the current sync state:** See which profile or packs were last applied. + ```bash + rulebook-ai project status + ``` + +* **Remove a pack from your library:** + ```bash + rulebook-ai packs remove community-react-pack + ``` + +* **Clean generated rules:** If you want to reset the generated rules without touching your valuable `memory/` and `tools/` files: + ```bash + rulebook-ai project clean-rules + ``` + +* **Completely uninstall from a project:** This is a destructive action that removes all `rulebook-ai` related files and directories (`.rulebook-ai`, `memory`, `tools`, etc.). Use with care! + ```bash + rulebook-ai project clean + ``` + +## Chapter 6: Becoming a Contributor + +You now know how to use `rulebook-ai`! The next step is to contribute back to the community by creating your own pack. + +`rulebook-ai` makes this easy by providing a pack that turns your AI into an expert on pack authoring. + +**1. Add the Authoring Guide Pack** + +```bash +uvx rulebook-ai packs add pack-authoring-guide +``` + +**2. Sync the Guide** + +```bash +uvx rulebook-ai project sync --pack pack-authoring-guide +``` + +**3. Start Creating!** + +Your AI now has all the specifications, guides, and validation tools in its context. You can now ask it to help you build a new pack. For example: + +> *"Hey AI, using the rules from the `pack-authoring-guide`, help me create a new pack for Python development. Let's start with the `manifest.yaml` file."* + +This workflow is the heart of `rulebook-ai`: using the tool to enhance the AI's capabilities to help you use the tool itself. diff --git a/prompts/project_review_questions.md b/prompts/project_review_questions.md new file mode 100644 index 0000000..3ba8f9d --- /dev/null +++ b/prompts/project_review_questions.md @@ -0,0 +1,27 @@ +# Project Review Questions + +**A. Specification (spec) Document Review:** +* **Clarity and Completeness:** Are the requirements clear, unambiguous, and complete? Are there any edge cases or user scenarios that might be missing? +* **Feasibility:** Based on the project context, are the specified features technically feasible within the given constraints? +* **Consistency:** Are there any conflicting requirements within this document? + +**B. Task Plan Document Review:** +* **Alignment:** Does the task plan accurately reflect the requirements laid out in the spec document? Is every feature from the spec accounted for in the tasks? +* **Granularity:** Are the tasks broken down into appropriately small and manageable units of work? +* **Dependencies:** Are task dependencies clearly identified? Is there a logical flow to the tasks? +* **Estimation:** Do the time estimates (if any) seem reasonable for the complexity of the tasks? + +**C. TDD Plan Document Review:** +* **Test Coverage:** Does the TDD plan provide a clear strategy for testing the core features outlined in the spec? Does it cover unit, integration, and end-to-end testing appropriately? +* **Clarity of Test Cases:** Are the example test cases clear and well-defined? Do they effectively describe the expected behavior of the system? +* **Tooling:** Is the choice of testing frameworks and tools suitable for the project's tech stack? + +**D. Implementation Plan Document Review:** +* **Architecture:** Does the proposed architecture make sense for the project's goals and tech stack? Is it scalable and maintainable? +* **Phasing:** Is the implementation broken down into logical phases or milestones? Does this align with the task plan? +* **Risk Mitigation:** Does the plan identify potential technical risks (e.g., integrating a new API, complex algorithm) and suggest mitigation strategies? + +**E. Overall Cohesion Review:** +* **Consistency Across Documents:** Are the spec, task plan, TDD plan, and implementation plan consistent with each other? For example, does a feature mentioned in the spec have corresponding tasks, tests, and implementation details in the other documents? +* **Potential Gaps:** Are there any noticeable gaps between these documents? For instance, is a complex implementation detail not backed by a clear requirement or test plan? +* **Final Recommendations:** What are the top 3-5 most critical actions I should take to improve these documents before I start coding? diff --git a/pyproject.toml b/pyproject.toml index 7e7f4bc..0b37045 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "rulebook-ai" -version = "0.1.0" +version = "0.2.0" description = "AI rulebook management for large language models" readme = "README.md" requires-python = ">=3.9" @@ -28,6 +28,7 @@ dependencies = [ # Google Generative AI "google-generativeai", "grpcio==1.71.0", # For Google GenAI preventing WARNING + "PyYAML>=6.0", ] [project.optional-dependencies] @@ -50,11 +51,7 @@ where = ["src"] [tool.setuptools.package-data] "rulebook_ai" = [ - "env.example", - "requirements.txt", - "memory_starters/**/*", - "rule_sets/**/*", - "tool_starters/**/*" + "packs/**/*" ] [tool.setuptools.exclude-package-data] @@ -139,4 +136,4 @@ commands_pre = commands = python -m pytest tests/integration/ -v -s --cov=rulebook_ai --cov-report=term-missing -""" \ No newline at end of file +""" diff --git a/src/rulebook_ai/.env.example b/src/rulebook_ai/.env.example deleted file mode 100644 index d196986..0000000 --- a/src/rulebook_ai/.env.example +++ /dev/null @@ -1,9 +0,0 @@ -OPENAI_API_KEY=your_openai_api_key_here -OPENAI_BASE_URL=https://api.openai.com/v1 -OPENAI_MODEL_DEPLOYMENT=gpt-4o -ANTHROPIC_API_KEY=your_anthropic_api_key_here -DEEPSEEK_API_KEY=your_deepseek_api_key_here -GOOGLE_API_KEY=your_google_api_key_here -AZURE_OPENAI_API_KEY=your_azure_openai_api_key_here -AZURE_OPENAI_MODEL_DEPLOYMENT=gpt-4o-ms -SILICONFLOW_API_KEY=your_siliconflow_api_key_here \ No newline at end of file diff --git a/src/rulebook_ai/__main__.py b/src/rulebook_ai/__main__.py index bed97d6..c0d271c 100644 --- a/src/rulebook_ai/__main__.py +++ b/src/rulebook_ai/__main__.py @@ -6,6 +6,7 @@ """ from .cli import main +import sys if __name__ == "__main__": - main() + sys.exit(main()) diff --git a/src/rulebook_ai/cli.py b/src/rulebook_ai/cli.py index 860e2a9..3e6a18f 100644 --- a/src/rulebook_ai/cli.py +++ b/src/rulebook_ai/cli.py @@ -1,138 +1,220 @@ -""" -Command-line interface for rulebook-ai. +"""Command line interface for rulebook-ai.""" -This module provides a modern CLI interface for the rulebook-ai package, -built on the core functionality in the core module. -""" +from __future__ import annotations import argparse import sys from typing import List, Optional -from .core import RuleManager, DEFAULT_RULE_SET from .assistants import SUPPORTED_ASSISTANTS +from .core import RuleManager def create_parser() -> argparse.ArgumentParser: - """Create the argument parser for the CLI.""" parser = argparse.ArgumentParser( - description="Manage LLM rulesets and assistant configurations for various AI assistants.", - formatter_class=argparse.RawTextHelpFormatter + description="Manage composable rulebook-ai packs and project context", + formatter_class=argparse.RawTextHelpFormatter, ) - subparsers = parser.add_subparsers(dest="command", required=True, help="Command to execute") - - # --- Install Command --- - install_parser = subparsers.add_parser("install", help="Install a rule set and framework components into a project.") - install_parser.add_argument("--rule-set", "-r", default=DEFAULT_RULE_SET, help=f"Rule set to install (default: {DEFAULT_RULE_SET})") - install_parser.add_argument("--project-dir", "-p", help="Target project directory (default: current directory)") - install_parser.add_argument("--clean", "-c", action="store_true", help="Clean existing rules before installation") - - assistant_group = install_parser.add_argument_group('assistant selection (if omitted, all are generated)') - for assistant in SUPPORTED_ASSISTANTS: - assistant_group.add_argument(f"--{assistant.name}", action='append_const', dest='assistants', const=assistant.name, help=f"Generate rules for {assistant.display_name}") - assistant_group.add_argument("--all", "-a", action='store_const', dest='assistants', const=[a.name for a in SUPPORTED_ASSISTANTS], help="Generate rules for all supported assistants") - - # --- Sync Command --- - sync_parser = subparsers.add_parser("sync", help="Synchronize assistant rules from the project_rules/ directory.") - sync_parser.add_argument("--project-dir", "-p", help="Target project directory (default: current directory)") - - sync_assistant_group = sync_parser.add_argument_group('assistant selection (if omitted, syncs existing)') - for assistant in SUPPORTED_ASSISTANTS: - sync_assistant_group.add_argument(f"--{assistant.name}", action='append_const', dest='assistants', const=assistant.name, help=f"Sync rules for {assistant.display_name}") - sync_assistant_group.add_argument("--all", "-a", action='store_const', dest='assistants', const=[a.name for a in SUPPORTED_ASSISTANTS], help="Sync rules for all supported assistants") - - # --- Clean Commands --- - clean_rules_parser = subparsers.add_parser("clean-rules", help="Remove all rule-related files (generated rules and project_rules/).") - clean_rules_parser.add_argument("--project-dir", "-p", help="Target project directory (default: current directory)") - - clean_all_parser = subparsers.add_parser("clean-all", help="Remove ALL rulebook-ai components, including memory/ and tools/.") - clean_all_parser.add_argument("--project-dir", "-p", help="Target project directory (default: current directory)") - - # --- Utility Commands --- - subparsers.add_parser( - "list-rules", - help="List available rule sets and show ratings link.", + subparsers = parser.add_subparsers(dest="command", required=True) + + # ------------------------------------------------------------------ + # Packs command group + # ------------------------------------------------------------------ + + packs_parser = subparsers.add_parser("packs", help="Manage pack library") + packs_sub = packs_parser.add_subparsers(dest="packs_command", required=True) + + list_parser = packs_sub.add_parser("list", help="List available packs") + list_parser.add_argument("--project-dir", "-p") + + add_parser = packs_sub.add_parser("add", help="Add pack(s) to the library") + add_parser.add_argument("names", nargs="+") + add_parser.add_argument("--project-dir", "-p") + + remove_parser = packs_sub.add_parser("remove", help="Remove pack(s) from the library") + remove_parser.add_argument("names", nargs="+") + remove_parser.add_argument("--project-dir", "-p") + + update_parser = packs_sub.add_parser( + "update", help="Refresh community pack index" ) - subparsers.add_parser("doctor", help="Check environment and setup for issues.") - subparsers.add_parser("bug-report", help="Open the project issue tracker to report a bug.") - subparsers.add_parser( - "rate-ruleset", - help="Open the ratings & reviews wiki page for rulesets.", + update_parser.add_argument("--project-dir", "-p") + + status_parser = packs_sub.add_parser("status", help="Show configured packs and profiles") + status_parser.add_argument("--project-dir", "-p") + + # ------------------------------------------------------------------ + # Profiles command group + # ------------------------------------------------------------------ + + profiles_parser = subparsers.add_parser("profiles", help="Manage pack profiles") + profiles_sub = profiles_parser.add_subparsers(dest="profiles_command", required=True) + + create_p = profiles_sub.add_parser("create", help="Create a profile") + create_p.add_argument("name") + create_p.add_argument("--project-dir", "-p") + + delete_p = profiles_sub.add_parser("delete", help="Delete a profile") + delete_p.add_argument("name") + delete_p.add_argument("--project-dir", "-p") + + add_to = profiles_sub.add_parser("add", help="Add pack to profile") + add_to.add_argument("pack") + add_to.add_argument("--to", dest="profile", required=True) + add_to.add_argument("--project-dir", "-p") + + remove_from = profiles_sub.add_parser("remove", help="Remove pack from profile") + remove_from.add_argument("pack") + remove_from.add_argument("--from", dest="profile", required=True) + remove_from.add_argument("--project-dir", "-p") + + list_p = profiles_sub.add_parser("list", help="List profiles") + list_p.add_argument("--project-dir", "-p") + + # ------------------------------------------------------------------ + # Project command group + # ------------------------------------------------------------------ + + project_parser = subparsers.add_parser("project", help="Operate on project context") + project_sub = project_parser.add_subparsers(dest="project_command", required=True) + + sync_parser = project_sub.add_parser("sync", help="Compose context and generate rules") + sync_parser.add_argument("--project-dir", "-p") + sync_parser.add_argument("--profile") + sync_parser.add_argument("--pack", action="append", dest="packs") + assist_group = sync_parser.add_argument_group("assistant selection") + assist_group.add_argument( + "--assistant", + "-a", + dest="assistants", + nargs="+", + choices=[a.name for a in SUPPORTED_ASSISTANTS], + help="Generate rules for selected assistant(s)", + ) + assist_group.add_argument( + "--all", + action="store_const", + dest="assistants", + const=[a.name for a in SUPPORTED_ASSISTANTS], + help="Generate rules for all supported assistants", ) - return parser + status_p = project_sub.add_parser("status", help="Show last sync info") + status_p.add_argument("--project-dir", "-p") + clean_p = project_sub.add_parser("clean", help="Remove all rulebook-ai artifacts") + clean_p.add_argument("--project-dir", "-p") -def handle_command(args: argparse.Namespace) -> int: - """Handle the parsed command-line arguments.""" - # Instantiate RuleManager with the project directory if the command needs it - project_dir = args.project_dir if hasattr(args, 'project_dir') else None - rule_manager = RuleManager(project_dir) - - command = args.command - if command == "install": - # If no assistants are specified, RuleManager's install->sync will handle the default - return rule_manager.install(args.rule_set, args.project_dir, args.clean, args.assistants) - - elif command == "sync": - # If assistants is None, RuleManager's sync will auto-detect - return rule_manager.sync(args.project_dir, args.assistants) - - elif command == "clean-rules": - return rule_manager.clean_rules(args.project_dir) - - elif command == "clean-all": - print("WARNING: This will remove all rulebook-ai components from the target directory, including:") - print("- project_rules/, memory/, and tools/ directories") - print("- All generated assistant rule directories (.cursor/, .clinerules/, etc.)") - print("\nThis may delete user-customized files in 'memory/' and 'tools/'.") - try: - confirm = input("Are you sure you want to proceed? (yes/No): ").strip().lower() - except (EOFError, KeyboardInterrupt): - print("\nClean-all operation cancelled.") - return 1 - if confirm == 'yes': - print("\nProceeding with full clean...") - return rule_manager.clean_all(args.project_dir) - else: - print("Clean-all operation cancelled by user.") - return 0 + clean_r = project_sub.add_parser("clean-rules", help="Remove generated rules and state") + clean_r.add_argument("--project-dir", "-p") - elif command == "list-rules": - rule_manager.list_rules() - return 0 + clean_ctx = project_sub.add_parser( + "clean-context", help="Remove orphaned context files" + ) + clean_ctx.add_argument("--project-dir", "-p") + clean_ctx.add_argument("--action", choices=["delete", "keep"]) + clean_ctx.add_argument("--force", action="store_true") - elif command == "doctor": - print("Doctor command not yet implemented in this version.") - return 0 + # ------------------------------------------------------------------ + # Utility commands + # ------------------------------------------------------------------ - elif command == "bug-report": - return rule_manager.report_bug() + subparsers.add_parser("bug-report", help="Open issue tracker") + subparsers.add_parser("rate-ruleset", help="Open ratings & reviews page") - elif command == "rate-ruleset": - return rule_manager.rate_ruleset() + return parser + + +def handle_command(args: argparse.Namespace) -> int: + project_dir = getattr(args, "project_dir", None) + rm = RuleManager(project_dir) + + if args.command == "packs": + cmd = args.packs_command + if cmd == "list": + rm.list_packs() + return 0 + if cmd == "add": + rc = 0 + for name in args.names: + result = rm.add_pack(name, project_dir) + if result != 0: + rc = result + return rc + if cmd == "remove": + rc = 0 + for name in args.names: + result = rm.remove_pack(name, project_dir) + if result != 0: + rc = result + return rc + if cmd == "update": + return rm.update_community_index() + if cmd == "status": + return rm.packs_status(project_dir) + + elif args.command == "profiles": + cmd = args.profiles_command + if cmd == "create": + return rm.create_profile(args.name, project_dir) + if cmd == "delete": + return rm.delete_profile(args.name, project_dir) + if cmd == "add": + return rm.add_pack_to_profile(args.pack, args.profile, project_dir) + if cmd == "remove": + return rm.remove_pack_from_profile(args.pack, args.profile, project_dir) + if cmd == "list": + return rm.list_profiles(project_dir) + + elif args.command == "project": + cmd = args.project_command + if cmd == "sync": + return rm.project_sync( + assistants=getattr(args, "assistants", None), + profile=args.profile, + packs=getattr(args, "packs", None), + project_dir=project_dir, + ) + if cmd == "status": + return rm.project_status(project_dir) + if cmd == "clean": + print( + "WARNING: This will remove .rulebook-ai/, memory/, tools/, and generated rules." + ) + try: + confirm = input("Are you sure? (yes/No): ").strip().lower() + except (EOFError, KeyboardInterrupt): + print("\nClean cancelled.") + return 1 + if confirm == "yes": + return rm.project_clean(project_dir) + print("Clean cancelled by user.") + return 0 + if cmd == "clean-rules": + return rm.project_clean_rules(project_dir) + if cmd == "clean-context": + return rm.project_clean_context( + project_dir=project_dir, action=args.action, force=args.force + ) + + elif args.command == "bug-report": + return rm.report_bug() + elif args.command == "rate-ruleset": + return rm.rate_ruleset() return 1 def main(argv: Optional[List[str]] = None) -> int: - """Main entry point for the CLI.""" parser = create_parser() args = parser.parse_args(argv if argv is not None else sys.argv[1:]) - - if not args.command: - parser.print_help() - return 1 - try: return handle_command(args) - except Exception as e: - print(f"An unexpected error occurred: {e}", file=sys.stderr) - # Consider adding a traceback here for debugging if needed - # import traceback - # traceback.print_exc() + except Exception as e: # pragma: no cover - top level safety + print(f"An unexpected error occurred: {e}") return 1 if __name__ == "__main__": - sys.exit(main()) \ No newline at end of file + sys.exit(main()) + diff --git a/src/rulebook_ai/community/__init__.py b/src/rulebook_ai/community/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/rulebook_ai/community/index_cache/packs.json b/src/rulebook_ai/community/index_cache/packs.json new file mode 100644 index 0000000..f8559a9 --- /dev/null +++ b/src/rulebook_ai/community/index_cache/packs.json @@ -0,0 +1,3 @@ +{ + "packs": [] +} \ No newline at end of file diff --git a/src/rulebook_ai/community_packs.py b/src/rulebook_ai/community_packs.py new file mode 100644 index 0000000..5fd2346 --- /dev/null +++ b/src/rulebook_ai/community_packs.py @@ -0,0 +1,312 @@ +from __future__ import annotations + +import json +import os +import re +import shutil +import subprocess +import tempfile +import urllib.request +from pathlib import Path +from typing import Any, Callable, Dict, List, Optional + +import yaml + + +INDEX_CACHE_PATH = Path(__file__).parent / "community" / "index_cache" / "packs.json" +DEFAULT_INDEX_URL = ( + "https://raw.githubusercontent.com/botingw/community-index/main/packs.json" +) + + +def parse_slug(slug: str) -> tuple[str, str, str]: + parts = slug.split("/") + if len(parts) < 2: + raise ValueError("Invalid slug") + username, repo = parts[0], parts[1] + subpath = "/".join(parts[2:]) if len(parts) > 2 else "" + return username, repo, subpath + + +def validate_pack_structure( + pack_root: Path, expected_name: Optional[str] = None +) -> tuple[str, Dict[str, Any]]: + """Validate pack structure and optional name, returning name and manifest.""" + manifest_path = pack_root / "manifest.yaml" + readme_path = pack_root / "README.md" + rules_dir = pack_root / "rules" + + if not manifest_path.is_file() or not readme_path.is_file() or not rules_dir.is_dir(): + raise ValueError("Invalid pack structure.") + + allowed_root = { + "manifest.yaml", + "README.md", + "rules", + "memory_starters", + "tool_starters", + } + for item in pack_root.iterdir(): + if item.name not in allowed_root and not item.name.startswith("."): + raise ValueError(f"Unexpected item in pack root: {item.name}") + + manifest = yaml.safe_load(manifest_path.read_text()) or {} + for field in ["name", "version", "summary"]: + if not manifest.get(field): + raise ValueError(f"manifest.yaml missing '{field}'.") + name = manifest["name"] + if not re.fullmatch(r"[A-Za-z0-9-]+", name): + raise ValueError( + "manifest name must be a slug: letters, digits, and dashes" + ) + if expected_name and name != expected_name: + raise ValueError(f"name mismatch: {name} != {expected_name}") + + rule_dirs = [d for d in rules_dir.iterdir() if d.is_dir()] + if not rule_dirs: + raise ValueError("rules/ must contain at least one numbered directory.") + prefixes: set[str] = set() + total_files = 0 + for d in rule_dirs: + m = re.fullmatch(r"(\d{2})-rules(?:-([a-z0-9-]+))?", d.name) + if not m: + raise ValueError(f"Invalid rules directory name: {d.name}") + prefix, mode = m.groups() + if prefix in prefixes: + raise ValueError(f"Duplicate rules directory prefix: {prefix}") + prefixes.add(prefix) + if mode is None and d.name != "01-rules": + raise ValueError("Generic rules directory must be named '01-rules'.") + + files = [f for f in d.iterdir() if f.is_file()] + if not files: + raise ValueError(f"{d.name} must contain at least one rule file.") + file_prefixes: set[str] = set() + for f in files: + if f.name.startswith("."): + raise ValueError(f"Hidden files not allowed: {f.name}") + if not f.suffix == ".md": + raise ValueError(f"Rule files must use .md extension: {f.name}") + mf = re.fullmatch(r"(\d{2})-.*\.md", f.name) + if not mf: + raise ValueError(f"Invalid rule file name: {f.name}") + fprefix = mf.group(1) + if fprefix in file_prefixes: + raise ValueError( + f"Duplicate rule file prefix in {d.name}: {f.name}" + ) + file_prefixes.add(fprefix) + try: + f.read_text(encoding="utf-8") + except UnicodeDecodeError: + raise ValueError(f"Rule file not UTF-8 encoded: {f.name}") + total_files += len(files) + + if total_files == 0: + raise ValueError("rules/ directories must contain at least one rule file.") + + return name, manifest + + +def _load_index_cache() -> Dict[str, List[Dict[str, str]]]: + if INDEX_CACHE_PATH.exists(): + try: + return json.loads(INDEX_CACHE_PATH.read_text()) + except Exception: + pass + return {"packs": []} + + +def load_index_cache() -> Dict[str, List[Dict[str, str]]]: + """Return the cached community index.""" + return _load_index_cache() + + +def _save_index_cache(data: Dict[str, List[Dict[str, str]]]) -> None: + INDEX_CACHE_PATH.parent.mkdir(parents=True, exist_ok=True) + INDEX_CACHE_PATH.write_text(json.dumps(data, indent=2)) + + +def _validate_index(data: Dict[str, List[Dict[str, str]]]) -> List[Dict[str, str]]: + if not isinstance(data, dict): + raise ValueError("Index must be a JSON object") + packs = data.get("packs") + if not isinstance(packs, list): + raise ValueError("Index missing 'packs' list") + for entry in packs: + for field in ["name", "username", "repo", "description"]: + if field not in entry or not isinstance(entry[field], str): + raise ValueError(f"Index entry missing '{field}'") + if "path" in entry and not isinstance(entry["path"], str): + raise ValueError("Index 'path' must be string") + if "commit" in entry and not isinstance(entry["commit"], str): + raise ValueError("Index 'commit' must be string") + return packs + + +def update_index_cache() -> int: + url = os.environ.get("RULEBOOK_AI_INDEX_URL", DEFAULT_INDEX_URL) + last_err: Optional[str] = None + for _ in range(2): + try: + with urllib.request.urlopen(url) as resp: + raw = resp.read().decode("utf-8") + data = json.loads(raw) + _validate_index(data) + _save_index_cache(data) + print("Community index updated.") + return 0 + except Exception as e: # pragma: no cover - network errors vary + last_err = str(e) + print(f"Failed to update community index: {last_err}") + return 1 + + +def add_pack_from_index( + name: str, + project_root: Path, + source_packs_dir: Path, + load_selection: Callable[[Path], object], + save_selection: Callable[[Path, object], None], +) -> int: + index = load_index_cache().get("packs", []) + entry = next((p for p in index if p.get("name") == name), None) + if not entry: + print(f"Pack '{name}' not found in community index.") + return 1 + slug_parts = [entry["username"], entry["repo"]] + if entry.get("path"): + slug_parts.append(entry["path"]) + slug = "/".join(slug_parts) + ref = entry.get("commit") + return add_pack_from_slug( + slug, + project_root, + source_packs_dir, + load_selection, + save_selection, + ref=ref, + expected_name=entry["name"], + ) + + +def add_pack_from_slug( + slug: str, + project_root: Path, + source_packs_dir: Path, + load_selection: Callable[[Path], object], + save_selection: Callable[[Path, object], None], + ref: Optional[str] = None, + expected_name: Optional[str] = None, +) -> int: + try: + username, repo, subpath = parse_slug(slug) + except ValueError: + print(f"Invalid slug '{slug}'.") + return 1 + + base = os.environ.get("RULEBOOK_AI_GIT_BASE", "https://github.com") + if base.startswith("http://") or base.startswith("https://"): + repo_url = f"{base.rstrip('/')}/{username}/{repo}" + else: + repo_url = str(Path(base) / username / repo) + + with tempfile.TemporaryDirectory() as tmpdir: + clone_dir = Path(tmpdir) / "repo" + result = subprocess.run( + ["git", "clone", repo_url, str(clone_dir)], + capture_output=True, + text=True, + ) + if result.returncode != 0: + print(result.stderr.strip()) + return 1 + + if ref: + checkout = subprocess.run( + ["git", "-C", str(clone_dir), "checkout", ref], + capture_output=True, + text=True, + ) + if checkout.returncode != 0: + print(checkout.stderr.strip()) + return 1 + + pack_root = clone_dir / subpath if subpath else clone_dir + try: + pack_name, manifest = validate_pack_structure( + pack_root, expected_name + ) + except ValueError as e: + print(str(e)) + return 1 + + builtins = {d.name for d in source_packs_dir.iterdir() if d.is_dir()} + if pack_name in builtins: + print(f"Pack name '{pack_name}' conflicts with built-in pack names.") + return 1 + + dest_dir = project_root / ".rulebook-ai" / "packs" / pack_name + + if dest_dir.exists(): + meta_path = dest_dir / "pack.json" + if meta_path.exists(): + meta = json.loads(meta_path.read_text()) + if meta.get("slug") != slug: + print( + f"Pack '{pack_name}' already installed from a different source." + ) + return 1 + shutil.rmtree(dest_dir) + else: + print(f"Pack '{pack_name}' already installed as built-in pack.") + return 1 + + commit = ( + subprocess.run( + ["git", "-C", str(clone_dir), "rev-parse", "HEAD"], + capture_output=True, + text=True, + ).stdout.strip() + ) + + warning = ( + f"WARNING: You are installing a community pack from {slug}" + + (f"@{ref}" if ref else "") + + ". This code is not audited." + ) + if not ref: + warning += " Installing without a pinned commit may change unexpectedly." + print(warning) + try: + resp = input("Proceed? (yes/No): ").strip().lower() + except (EOFError, KeyboardInterrupt): + print("\nInstallation cancelled.") + return 1 + if resp not in {"y", "yes"}: + print("Installation cancelled by user.") + return 0 + + dest_dir.parent.mkdir(parents=True, exist_ok=True) + shutil.copytree(pack_root, dest_dir) + + meta = {"name": pack_name, "slug": slug, "commit": commit} + (dest_dir / "pack.json").write_text(json.dumps(meta, indent=2)) + + selection = load_selection(project_root) + version = manifest.get("version", "0.0.0") + entry = { + "name": pack_name, + "version": version, + "slug": slug, + "commit": commit, + } + existing = next((p for p in selection.packs if p["name"] == pack_name), None) + if existing: + existing.update(entry) + else: + selection.packs.append(entry) + save_selection(project_root, selection) + + print(f"Added community pack '{pack_name}'.") + return 0 diff --git a/src/rulebook_ai/core.py b/src/rulebook_ai/core.py index 801cdde..080a2c1 100644 --- a/src/rulebook_ai/core.py +++ b/src/rulebook_ai/core.py @@ -1,32 +1,31 @@ -""" -Core functionality for rulebook-ai rule management. +"""Core logic for the rulebook-ai CLI.""" -This module provides the core functionality for managing AI rulebooks, -separated from the CLI interface for better modularity and testing. -""" +from __future__ import annotations -import os -import shutil +import json import re +import shutil +import sys +from dataclasses import dataclass +from datetime import datetime, timezone from pathlib import Path -from typing import List, Optional +from typing import Dict, List, Optional + import webbrowser +import yaml -from .assistants import AssistantSpec, SUPPORTED_ASSISTANTS, ASSISTANT_MAP +from .assistants import ASSISTANT_MAP, SUPPORTED_ASSISTANTS, AssistantSpec +from .community_packs import validate_pack_structure -# --- Constants --- -SOURCE_RULE_SETS_DIR = "rule_sets" -SOURCE_MEMORY_STARTERS_DIR = "memory_starters" -SOURCE_TOOL_STARTERS_DIR = "tool_starters" +# --------------------------------------------------------------------------- +# Constants +# --------------------------------------------------------------------------- + +SOURCE_PACKS_DIR = "packs" -TARGET_PROJECT_RULES_DIR = "project_rules" TARGET_MEMORY_BANK_DIR = "memory" TARGET_TOOLS_DIR = "tools" - -DEFAULT_RULE_SET = "light-spec" - -SOURCE_ENV_EXAMPLE_FILE = ".env.example" -SOURCE_REQUIREMENTS_TXT_FILE = "requirements.txt" +TARGET_INTERNAL_STATE_DIR = ".rulebook-ai" BUG_REPORT_URL = "https://github.com/botingw/rulebook-ai/issues" RATINGS_REVIEWS_URL = ( @@ -34,288 +33,630 @@ ) +# --------------------------------------------------------------------------- +# Helper data structures +# --------------------------------------------------------------------------- + +@dataclass +class SelectionState: + packs: List[Dict[str, str]] + profiles: Dict[str, List[str]] + + +# --------------------------------------------------------------------------- +# RuleManager +# --------------------------------------------------------------------------- + + class RuleManager: - """Manages the installation and synchronization of AI rules and related files.""" + """Manage packs, profiles and project synchronization.""" def __init__(self, project_root: Optional[str] = None) -> None: - self.package_path = Path(__file__).parent.absolute() - self.source_rules_dir = self.package_path / SOURCE_RULE_SETS_DIR - self.source_memory_dir = self.package_path / SOURCE_MEMORY_STARTERS_DIR - self.source_tools_dir = self.package_path / SOURCE_TOOL_STARTERS_DIR - - # Handle development environment structure - if not self.source_rules_dir.exists(): - dev_root = self.package_path.parent.parent - self.source_rules_dir = dev_root / SOURCE_RULE_SETS_DIR - self.source_memory_dir = dev_root / SOURCE_MEMORY_STARTERS_DIR - self.source_tools_dir = dev_root / SOURCE_TOOL_STARTERS_DIR - + package_path = Path(__file__).parent.absolute() + self.source_packs_dir = package_path / SOURCE_PACKS_DIR + if not self.source_packs_dir.exists(): + dev_root = package_path.parent.parent + self.source_packs_dir = dev_root / SOURCE_PACKS_DIR + self.project_root = Path(project_root).absolute() if project_root else Path.cwd().absolute() - # --- Private File Operation Helpers --- + # ------------------------------------------------------------------ + # Internal utilities + # ------------------------------------------------------------------ def _copy_file(self, source: Path, destination: Path) -> bool: + destination.parent.mkdir(parents=True, exist_ok=True) try: - destination.parent.mkdir(parents=True, exist_ok=True) shutil.copy2(source, destination) return True - except Exception as e: + except Exception as e: # pragma: no cover - defensive programming print(f"Error copying {source} to {destination}: {e}") return False - def _get_ordered_source_files(self, source_dir_path: Path, recursive: bool) -> List[Path]: - if not source_dir_path.is_dir(): + def _get_ordered_source_files(self, source_dir: Path, recursive: bool) -> List[Path]: + if not source_dir.is_dir(): return [] pattern = "**/*" if recursive else "*" - all_files = [p for p in source_dir_path.glob(pattern) if p.is_file() and not p.name.startswith('.')] - return sorted(all_files) + files = [p for p in source_dir.glob(pattern) if p.is_file() and not p.name.startswith(".")] + return sorted(files) - def _copy_tree_non_destructive(self, src_dir: Path, dest_dir: Path) -> int: - dest_dir.mkdir(parents=True, exist_ok=True) - count = 0 - if not src_dir.is_dir(): - return 0 - for item in src_dir.iterdir(): - dest_item = dest_dir / item.name + def _copy_tree_non_destructive(self, src: Path, dest: Path, project_root: Path) -> List[str]: + """Copy tree from src to dest without overwriting existing files. + + Returns a list of relative file paths that were created. + """ + + created: List[str] = [] + if not src.is_dir(): + return created + + dest.mkdir(parents=True, exist_ok=True) + for item in src.iterdir(): + dest_item = dest / item.name if item.is_dir(): - if not dest_item.exists(): - shutil.copytree(item, dest_item) - count += 1 - else: - count += self._copy_tree_non_destructive(item, dest_item) - elif not dest_item.exists() and self._copy_file(item, dest_item): - count += 1 - return count - - # --- Private Rule Generation Strategies --- - - def _strategy_flatten_and_number(self, source_dir: Path, dest_dir: Path, extension: Optional[str]) -> int: - dest_dir.mkdir(parents=True, exist_ok=True) - all_source_files = self._get_ordered_source_files(source_dir, recursive=True) - if not all_source_files: - return 0 - + created.extend(self._copy_tree_non_destructive(item, dest_item, project_root)) + elif not dest_item.exists(): + if self._copy_file(item, dest_item): + created.append(str(dest_item.relative_to(project_root))) + return created + + def _strategy_flatten_and_number(self, source: Path, dest: Path, extension: Optional[str]) -> int: + dest.mkdir(parents=True, exist_ok=True) + files = self._get_ordered_source_files(source, True) next_num = 1 - for source_path in all_source_files: - stem = re.sub(r"^\d+-", "", source_path.stem) - new_extension = extension if extension is not None else '' - new_filename = f"{next_num:02d}-{stem}{new_extension}" - if self._copy_file(source_path, dest_dir / new_filename): + for src in files: + stem = re.sub(r"^\d+-", "", src.stem) + new_ext = extension if extension is not None else "" + name = f"{next_num:02d}-{stem}{new_ext}" + if self._copy_file(src, dest / name): next_num += 1 - return len(all_source_files) - - def _strategy_preserve_hierarchy(self, source_dir: Path, dest_dir: Path) -> int: - dest_dir.mkdir(parents=True, exist_ok=True) - all_source_files = self._get_ordered_source_files(source_dir, recursive=True) - if not all_source_files: - return 0 - for source_path in all_source_files: - dest_path = dest_dir / source_path.relative_to(source_dir) - self._copy_file(source_path, dest_path) - return len(all_source_files) - - def _strategy_concatenate_files(self, source_dir: Path, dest_file: Path) -> None: - all_source_files = self._get_ordered_source_files(source_dir, recursive=True) - if not all_source_files: + return len(files) + + def _strategy_preserve_hierarchy(self, source: Path, dest: Path) -> int: + dest.mkdir(parents=True, exist_ok=True) + files = self._get_ordered_source_files(source, True) + for src in files: + self._copy_file(src, dest / src.relative_to(source)) + return len(files) + + def _strategy_concatenate_files(self, source: Path, dest_file: Path) -> None: + files = self._get_ordered_source_files(source, True) + if not files: return dest_file.parent.mkdir(parents=True, exist_ok=True) - with open(dest_file, 'w', encoding='utf-8') as output_file: - for i, source_path in enumerate(all_source_files): - output_file.write(f"# Rule: {source_path.name}\n\n") - output_file.write(source_path.read_text(encoding='utf-8')) - if i < len(all_source_files) - 1: - output_file.write("\n\n---\n\n") - - # --- Private Generic Generation Engine --- - - def _generate_for_assistant(self, spec: AssistantSpec, source_dir: Path, target_root: Path): + with dest_file.open("w", encoding="utf-8") as f: + for i, src in enumerate(files): + f.write(f"# Rule: {src.name}\n\n") + f.write(src.read_text(encoding="utf-8")) + if i < len(files) - 1: + f.write("\n\n---\n\n") + + def _generate_for_assistant(self, spec: AssistantSpec, source_dir: Path, target_root: Path) -> None: target_path = target_root / spec.rule_path - if not spec.is_multi_file: - dest_file = target_path / spec.filename - self._strategy_concatenate_files(source_dir, dest_file) - print(f" -> Generated {spec.display_name} instructions at {dest_file}") + self._strategy_concatenate_files(source_dir, target_path / spec.filename) + print(f" -> Generated {spec.display_name} instructions at {target_path / spec.filename}") return if spec.has_modes: - total_files = 0 - for source_sub_dir in source_dir.iterdir(): - if not source_sub_dir.is_dir() or source_sub_dir.name.startswith('.'): + total = 0 + for sub in source_dir.iterdir(): + if not sub.is_dir() or sub.name.startswith("."): continue - - mode_name = re.sub(r"^\d+-", "", source_sub_dir.name) - target_mode_dir = target_path / mode_name - - count = self._strategy_preserve_hierarchy(source_sub_dir, target_mode_dir) - if count > 0: - print(f" -> Generated {count} {spec.display_name} '{mode_name}' rules in {target_mode_dir}") - total_files += count - - if total_files == 0: + mode_name = re.sub(r"^\d+-", "", sub.name) + count = self._strategy_preserve_hierarchy(sub, target_path / mode_name) + if count: + print(f" -> Generated {count} {spec.display_name} '{mode_name}' rules in {target_path / mode_name}") + total += count + if not total: print(f" -> No rules found to generate for {spec.display_name}") return - count = 0 - if spec.supports_subdirectories: - count = self._strategy_preserve_hierarchy(source_dir, target_path) - else: - count = self._strategy_flatten_and_number(source_dir, target_path, spec.file_extension) - - if count > 0: + count = ( + self._strategy_preserve_hierarchy(source_dir, target_path) + if spec.supports_subdirectories + else self._strategy_flatten_and_number(source_dir, target_path, spec.file_extension) + ) + if count: print(f" -> Generated {count} {spec.display_name} rule files in {target_path}") - # --- Public Command Methods --- + # ------------------------------------------------------------------ + # Selection and manifest helpers + # ------------------------------------------------------------------ + + def _selection_path(self, project_root: Path) -> Path: + return project_root / TARGET_INTERNAL_STATE_DIR / "selection.json" + + def _load_selection(self, project_root: Path) -> SelectionState: + path = self._selection_path(project_root) + if not path.exists(): + return SelectionState(packs=[], profiles={}) + data = json.loads(path.read_text()) + return SelectionState(packs=data.get("packs", []), profiles=data.get("profiles", {})) + + def _save_selection(self, project_root: Path, state: SelectionState) -> None: + path = self._selection_path(project_root) + path.parent.mkdir(parents=True, exist_ok=True) + with path.open("w") as f: + json.dump({"packs": state.packs, "profiles": state.profiles}, f, indent=2) + + def _file_manifest_path(self, project_root: Path) -> Path: + return project_root / TARGET_INTERNAL_STATE_DIR / "file_manifest.json" + + def _load_file_manifest(self, project_root: Path) -> Dict[str, str]: + path = self._file_manifest_path(project_root) + if path.exists(): + return json.loads(path.read_text()) + return {} + + def _save_file_manifest(self, project_root: Path, manifest: Dict[str, str]) -> None: + path = self._file_manifest_path(project_root) + path.parent.mkdir(parents=True, exist_ok=True) + with path.open("w") as f: + json.dump(manifest, f, indent=2) + + def _sync_status_path(self, project_root: Path) -> Path: + return project_root / TARGET_INTERNAL_STATE_DIR / "sync_status.json" + + def _load_sync_status(self, project_root: Path) -> Dict[str, dict]: + path = self._sync_status_path(project_root) + if path.exists(): + return json.loads(path.read_text()) + return {} + + def _save_sync_status(self, project_root: Path, data: Dict[str, dict]) -> None: + path = self._sync_status_path(project_root) + path.parent.mkdir(parents=True, exist_ok=True) + with path.open("w") as f: + json.dump(data, f, indent=2) + + # ------------------------------------------------------------------ + # Pack commands + # ------------------------------------------------------------------ + + def _builtin_packs(self) -> List[Dict[str, str]]: + if not self.source_packs_dir.is_dir(): + return [] + packs = [] + for pack_dir in sorted( + [p for p in self.source_packs_dir.iterdir() if p.is_dir() and not p.name.startswith(".")], + key=lambda p: p.name, + ): + manifest_path = pack_dir / "manifest.yaml" + version = "unknown" + summary = "" + if manifest_path.exists(): + manifest = yaml.safe_load(manifest_path.read_text()) or {} + version = manifest.get("version", "unknown") + summary = manifest.get("summary", "") + packs.append({"name": pack_dir.name, "version": version, "summary": summary}) + return packs + + def list_packs(self) -> None: + builtins = self._builtin_packs() + from . import community_packs + + index = community_packs.load_index_cache().get("packs", []) + + print("Available packs:") + for entry in sorted( + [ + {**b, "source": "built-in"} for b in builtins + ] + + [ + {"name": p.get("name"), "description": p.get("description"), "source": "community"} + for p in index + ], + key=lambda e: e["name"], + ): + if entry["source"] == "built-in": + print( + f" - {entry['name']} (built-in, v{entry['version']}) - {entry['summary']}" + ) + else: + print( + f" - {entry['name']} (community) - {entry['description']}" + ) + + print(f"\nFor ratings and reviews of these packs, visit {RATINGS_REVIEWS_URL}") + + def add_pack(self, name_or_path: str, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + + # Handle local paths + if name_or_path.startswith("local:"): + local_path_str = name_or_path.split(":", 1)[1] + source = Path(local_path_str).expanduser().resolve() + if not source.is_dir(): + print(f"Error: Local path not found at '{source}'", file=sys.stderr) + return 1 + + try: + pack_name, manifest = validate_pack_structure(source) + except ValueError as e: + print(f"Error: Invalid local pack at '{source}': {e}", file=sys.stderr) + return 1 + + dest_dir = project_root / TARGET_INTERNAL_STATE_DIR / "packs" / pack_name + if dest_dir.exists(): + print( + f"Error: Pack '{pack_name}' already installed from a different source. Please remove it first.", + file=sys.stderr, + ) + return 1 + + dest_dir.parent.mkdir(parents=True, exist_ok=True) + shutil.copytree(source, dest_dir) + + selection = self._load_selection(project_root) + version = manifest.get("version", "0.0.0") + if not any(p["name"] == pack_name for p in selection.packs): + selection.packs.append({"name": pack_name, "version": version, "source": "local"}) + self._save_selection(project_root, selection) + + print(f"Added pack '{pack_name}' from local path. Run 'project sync' to apply changes.") + return 0 + + # Handle GitHub slugs + if name_or_path.startswith("github:"): + slug = name_or_path.split(":", 1)[1] + from . import community_packs + + return community_packs.add_pack_from_slug( + slug, + project_root, + self.source_packs_dir, + self._load_selection, + self._save_selection, + ) + + # Handle built-in and index packs by name + name = name_or_path + source = self.source_packs_dir / name + if source.is_dir(): # It's a built-in pack + dest_dir = project_root / TARGET_INTERNAL_STATE_DIR / "packs" / name + if dest_dir.exists(): + if (dest_dir / "pack.json").exists(): + print( + f"Error: Pack '{name}' already installed from a community source. Cannot overwrite with a built-in pack.", + file=sys.stderr, + ) + return 1 + # It's a re-install of a built-in, which is fine. + shutil.rmtree(dest_dir) + + dest_dir.parent.mkdir(parents=True, exist_ok=True) + shutil.copytree(source, dest_dir) + + selection = self._load_selection(project_root) + manifest_file = dest_dir / "manifest.yaml" + version = "0.0.0" + if manifest_file.exists(): + manifest = yaml.safe_load(manifest_file.read_text()) or {} + version = manifest.get("version", "0.0.0") + if not any(p["name"] == name for p in selection.packs): + selection.packs.append({"name": name, "version": version, "source": "built-in"}) + self._save_selection(project_root, selection) + + print(f"Added pack '{name}'. Run 'project sync' to apply changes.") + return 0 + else: # Try to find it in the community index + from . import community_packs + + result = community_packs.add_pack_from_index( + name, + project_root, + self.source_packs_dir, + self._load_selection, + self._save_selection, + ) + if result != 0: + print(f"Pack '{name}' not found as a built-in pack or in the community index.") + self.list_packs() + return result + + def update_community_index(self) -> int: + from . import community_packs + + return community_packs.update_index_cache() + + def remove_pack(self, name: str, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + dest_dir = project_root / TARGET_INTERNAL_STATE_DIR / "packs" / name + if not dest_dir.exists(): + print(f"Pack '{name}' is not installed.") + return 1 + + shutil.rmtree(dest_dir) + + selection = self._load_selection(project_root) + selection.packs = [p for p in selection.packs if p["name"] != name] + for profile, packs in list(selection.profiles.items()): + if name in packs: + packs.remove(name) + selection.profiles[profile] = packs + self._save_selection(project_root, selection) + + print(f"Removed pack '{name}'. Remember to run 'project sync' to update rules.") + return 0 + + def packs_status(self, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + if not selection.packs: + print("No packs are configured.") + return 0 + + print("Pack library:") + for idx, pack in enumerate(selection.packs, 1): + version = pack.get("version", "unknown") + print(f" {idx}. {pack['name']} (v{version})") - def install(self, rule_set: str = DEFAULT_RULE_SET, project_dir: Optional[str] = None, - clean_first: bool = False, assistants: Optional[List[str]] = None) -> int: - target_root = Path(project_dir).absolute() if project_dir else self.project_root - target_rules_dir = target_root / TARGET_PROJECT_RULES_DIR - rule_set_source_dir = self.source_rules_dir / rule_set + if selection.profiles: + print("\nProfiles:") + for profile, packs in selection.profiles.items(): + print(f" - {profile}: {', '.join(packs)}") + return 0 - if clean_first: - self.clean_rules(str(target_root)) + # ------------------------------------------------------------------ + # Profile commands + # ------------------------------------------------------------------ - if not rule_set_source_dir.is_dir(): - print(f"Error: Rule set '{rule_set}' not found.") - self.list_rules() + def create_profile(self, name: str, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + if name in selection.profiles: + print(f"Profile '{name}' already exists.") return 1 + selection.profiles[name] = [] + self._save_selection(project_root, selection) + print(f"Created profile '{name}'.") + return 0 - print(f"Installing framework components from rule set '{rule_set}'...") - # 1. Copy rule set (destructive) - if target_rules_dir.exists(): - shutil.rmtree(target_rules_dir) - shutil.copytree(rule_set_source_dir, target_rules_dir) - print(f"- Copied rule set to '{target_rules_dir}'") - - # 2. Copy memory and tools (non-destructive) - for starter, target in [(self.source_memory_dir, TARGET_MEMORY_BANK_DIR), (self.source_tools_dir, TARGET_TOOLS_DIR)]: - count = self._copy_tree_non_destructive(starter, target_root / target) - if count > 0: - print(f"- Copied {count} files to '{target_root / target}'") - - # 3. Copy env and requirements (non-destructive) - for filename in [SOURCE_ENV_EXAMPLE_FILE, SOURCE_REQUIREMENTS_TXT_FILE]: - source_file = self.source_rules_dir.parent / filename - if source_file.is_file() and not (target_root / filename).exists(): - self._copy_file(source_file, target_root / filename) - print(f"- Created '{target_root / filename}'") - - # 4. Per spec, run the sync logic - print("\nRunning initial synchronization...") - self.sync(str(target_root), assistants) - - print(f"\nInstallation complete.") + def delete_profile(self, name: str, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + if name not in selection.profiles: + print(f"Profile '{name}' does not exist.") + return 1 + del selection.profiles[name] + self._save_selection(project_root, selection) + print(f"Deleted profile '{name}'.") return 0 - def sync(self, project_dir: Optional[str] = None, assistants: Optional[List[str]] = None) -> int: - target_root = Path(project_dir).absolute() if project_dir else self.project_root - source_rules_dir = target_root / TARGET_PROJECT_RULES_DIR - - if not source_rules_dir.is_dir(): - print(f"Error: '{source_rules_dir}' does not exist. Run 'install' first.") + def add_pack_to_profile(self, pack: str, profile: str, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + if pack not in [p["name"] for p in selection.packs]: + print(f"Pack '{pack}' is not in the library.") + return 1 + if profile not in selection.profiles: + print(f"Profile '{profile}' does not exist.") return 1 - - names_to_sync = assistants - if names_to_sync is None: - # Per the design spec, sync with no flags defaults to all assistants - names_to_sync = [a.name for a in SUPPORTED_ASSISTANTS] - - if not names_to_sync: - print("No assistants selected to sync. Use --[assistant] or --all to specify.") + if pack not in selection.profiles[profile]: + selection.profiles[profile].append(pack) + self._save_selection(project_root, selection) + print(f"Added pack '{pack}' to profile '{profile}'.") + return 0 + + def remove_pack_from_profile(self, pack: str, profile: str, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + if profile not in selection.profiles or pack not in selection.profiles[profile]: + print(f"Pack '{pack}' is not in profile '{profile}'.") + return 1 + selection.profiles[profile].remove(pack) + self._save_selection(project_root, selection) + print(f"Removed pack '{pack}' from profile '{profile}'.") + return 0 + + def list_profiles(self, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + if not selection.profiles: + print("No profiles defined.") return 0 - - print(f"Syncing rules from '{source_rules_dir}' for: {', '.join(names_to_sync)}") + for name, packs in selection.profiles.items(): + print(f"{name}: {', '.join(packs)}") + return 0 + + # ------------------------------------------------------------------ + # Project commands + # ------------------------------------------------------------------ + + def project_sync( + self, + assistants: Optional[List[str]] = None, + profile: Optional[str] = None, + packs: Optional[List[str]] = None, + project_dir: Optional[str] = None, + ) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + + if profile and packs: + print("Cannot specify both --profile and --pack flags.") + return 1 + + if profile: + pack_list = selection.profiles.get(profile, []) + mode = {"mode": "profile", "profile": profile} + elif packs: + pack_list = packs + mode = {"mode": "pack", "packs": pack_list} + else: + pack_list = [p["name"] for p in selection.packs] + mode = {"mode": "all", "packs": pack_list} + + # Copy rules from packs into staging area + state_dir = project_root / TARGET_INTERNAL_STATE_DIR + rules_root = state_dir / "project_rules" + if rules_root.exists(): + shutil.rmtree(rules_root) + rules_root.mkdir(parents=True, exist_ok=True) + for pack_name in pack_list: + pack_rules = state_dir / "packs" / pack_name / "rules" + self._copy_tree_non_destructive(pack_rules, rules_root, project_root) + + # Copy memory/tool starters + file_manifest = self._load_file_manifest(project_root) + for pack_name in pack_list: + pack_dir = state_dir / "packs" / pack_name + starters = [ + ("memory_starters", TARGET_MEMORY_BANK_DIR), + ("tool_starters", TARGET_TOOLS_DIR), + ] + for starter_subdir, target in starters: + created = self._copy_tree_non_destructive( + pack_dir / starter_subdir, project_root / target, project_root + ) + for rel in created: + file_manifest[rel] = pack_name + self._save_file_manifest(project_root, file_manifest) + + # Generate rules for assistants + names_to_sync = assistants or [a.name for a in SUPPORTED_ASSISTANTS] for name in names_to_sync: spec = ASSISTANT_MAP.get(name) - if not spec: continue - - # 1. Clean the existing rules for the assistant - path_to_clean = target_root / spec.clean_path + if not spec: + continue + path_to_clean = project_root / spec.clean_path if path_to_clean.is_dir(): shutil.rmtree(path_to_clean) elif path_to_clean.is_file(): path_to_clean.unlink() + self._generate_for_assistant(spec, rules_root, project_root) + + # Update sync status + status = self._load_sync_status(project_root) + timestamp = datetime.now(timezone.utc).isoformat() + for name in names_to_sync: + status[name] = {"timestamp": timestamp, **mode, "packs": pack_list, "pack_count": len(pack_list)} + self._save_sync_status(project_root, status) - # 2. Regenerate the rules from project_rules/ - self._generate_for_assistant(spec, source_rules_dir, target_root) - - print("\nSync complete.") + print("Sync complete.") return 0 - def clean_rules(self, project_dir: Optional[str] = None) -> int: - target_root = Path(project_dir).absolute() if project_dir else self.project_root - print("Cleaning rule-related files and directories...") - - # 1. Remove the project_rules directory - rules_dir = target_root / TARGET_PROJECT_RULES_DIR - if rules_dir.exists(): - shutil.rmtree(rules_dir) - print(f"- Removed: {rules_dir}") - - # 2. Remove all generated assistant rules (data-driven) + def project_status(self, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + status = self._load_sync_status(project_root) + if not status: + print("No sync status found.") + return 0 + print("Project Sync Status:") + for assistant, info in status.items(): + ts = info.get("timestamp", "unknown") + mode = info.get("mode", "all") + line = f" - {assistant}: {ts} ({mode})" + if mode == "profile": + line += f" profile={info.get('profile')}" + elif mode == "pack": + line += f" packs={len(info.get('packs', []))}" + else: + line += f" packs={len(info.get('packs', []))}" + print(line) + return 0 + + def project_clean_rules(self, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + # remove generated assistant rules for spec in SUPPORTED_ASSISTANTS: - path_to_clean = target_root / spec.clean_path - if path_to_clean.is_file() and path_to_clean.exists(): - path_to_clean.unlink() - print(f"- Removed: {path_to_clean}") - # Attempt to remove empty parent directories (e.g., .github, .gemini) - try: - parent = path_to_clean.parent - if parent != target_root and not any(parent.iterdir()): - parent.rmdir() - print(f"- Removed empty directory: {parent}") - except OSError: - pass # Ignore if not empty or other error - elif path_to_clean.is_dir() and path_to_clean.exists(): - shutil.rmtree(path_to_clean) - print(f"- Removed: {path_to_clean}") - - print("\nRule cleaning complete.") + path = project_root / spec.clean_path + if path.is_file(): + path.unlink() + parent = path.parent + if parent != project_root and not any(parent.iterdir()): + parent.rmdir() + elif path.is_dir(): + shutil.rmtree(path) + # remove internal state dir + state_dir = project_root / TARGET_INTERNAL_STATE_DIR + if state_dir.exists(): + shutil.rmtree(state_dir) + print(f"- Removed: {state_dir}") return 0 - def clean_all(self, project_dir: Optional[str] = None) -> int: - target_root = Path(project_dir).absolute() if project_dir else self.project_root - - # 1. Run clean_rules first - self.clean_rules(str(target_root)) - - # 2. Remove the remaining framework directories and files - print("\nCleaning all remaining framework components...") - for item in [TARGET_MEMORY_BANK_DIR, TARGET_TOOLS_DIR, SOURCE_ENV_EXAMPLE_FILE, SOURCE_REQUIREMENTS_TXT_FILE]: - item_path = target_root / item - if item_path.is_file() and item_path.exists(): - item_path.unlink() - print(f"- Removed: {item_path}") - elif item_path.is_dir() and item_path.exists(): - shutil.rmtree(item_path) - print(f"- Removed: {item_path}") - - print("\nFull cleaning complete.") + def project_clean(self, project_dir: Optional[str] = None) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + self.project_clean_rules(str(project_root)) + for name in [TARGET_MEMORY_BANK_DIR, TARGET_TOOLS_DIR]: + path = project_root / name + if path.is_file(): + path.unlink() + elif path.is_dir(): + shutil.rmtree(path) return 0 - def list_rules(self) -> None: - if not self.source_rules_dir.is_dir(): - print(f"Error: Rules directory {self.source_rules_dir} not found.") - return - print("Available rule sets:") - for p in sorted([p.name for p in self.source_rules_dir.iterdir() if p.is_dir() and not p.name.startswith('.')]): - print(f" - {p}") - print(f"\nFor ratings and reviews of these rule sets, visit {RATINGS_REVIEWS_URL}") + def project_clean_context( + self, + project_dir: Optional[str] = None, + action: Optional[str] = None, + force: bool = False, + ) -> int: + project_root = Path(project_dir).absolute() if project_dir else self.project_root + selection = self._load_selection(project_root) + installed = {p["name"] for p in selection.packs} + manifest = self._load_file_manifest(project_root) + orphans = {p: pack for p, pack in manifest.items() if pack not in installed} + if not orphans: + print("No orphaned context files found.") + return 0 + + if not force: + print("Orphaned context files:") + for rel in orphans: + print(f" - {rel}") + if not action: + resp = input("Delete these files? [y/N]: ").strip().lower() + action = "delete" if resp == "y" else "keep" + else: + resp = input(f"Proceed to {action} these files? [y/N]: ").strip().lower() + if resp != "y": + print("Cleanup cancelled by user.") + return 0 + else: + if not action: + action = "keep" + + for rel in list(orphans.keys()): + full_path = project_root / rel + if action == "delete" and full_path.exists(): + if full_path.is_file(): + full_path.unlink() + parent = full_path.parent + roots = { + project_root / TARGET_MEMORY_BANK_DIR, + project_root / TARGET_TOOLS_DIR, + project_root, + } + while parent not in roots and not any(parent.iterdir()): + parent.rmdir() + parent = parent.parent + elif full_path.is_dir(): + shutil.rmtree(full_path) + manifest.pop(rel, None) + + self._save_file_manifest(project_root, manifest) + print("Context cleanup complete.") + return 0 + + # ------------------------------------------------------------------ + # Utility + # ------------------------------------------------------------------ def report_bug(self) -> int: - """Provide the project issue tracker URL for reporting bugs.""" print(f"To report a bug, please visit {BUG_REPORT_URL}") - try: + try: # pragma: no cover - best effort webbrowser.open(BUG_REPORT_URL) except Exception: pass return 0 def rate_ruleset(self) -> int: - """Open the ratings and reviews wiki page for rulesets.""" print(f"For ratings and reviews, please visit {RATINGS_REVIEWS_URL}") - try: + try: # pragma: no cover webbrowser.open(RATINGS_REVIEWS_URL) except Exception: pass return 0 + diff --git a/src/rulebook_ai/rule_sets/AI-rule-set-benchmark-analysis.md b/src/rulebook_ai/packs/AI-rule-set-benchmark-analysis.md similarity index 100% rename from src/rulebook_ai/rule_sets/AI-rule-set-benchmark-analysis.md rename to src/rulebook_ai/packs/AI-rule-set-benchmark-analysis.md diff --git a/src/rulebook_ai/rule_sets/README.md b/src/rulebook_ai/packs/README.md similarity index 96% rename from src/rulebook_ai/rule_sets/README.md rename to src/rulebook_ai/packs/README.md index 7d926f1..3ac91e8 100644 --- a/src/rulebook_ai/rule_sets/README.md +++ b/src/rulebook_ai/packs/README.md @@ -4,6 +4,12 @@ This repository contains different versions of rule sets designed to enhance the effectiveness of AI coding assistants (like Cursor, Cline, Roo Code, etc.) when collaborating with human developers on software projects. The core philosophy is to improve AI performance by providing structured workflows, clear principles, and mechanisms for integrating project-specific context via a "Memory Bank" system. +## Pack Authoring Guide + +The `pack-authoring-guide/` directory contains a helper pack for contributors. It explains how to convert existing rules into a valid Rulebook-AI pack, includes a validation checklist, and provides starter docs and tools. + +## Rule Set Versions + Three distinct versions are provided, catering to different needs regarding detail, prescriptiveness, and flexibility: 1. **`heavy-spec/`**: The original, highly detailed and prescriptive ruleset. @@ -12,7 +18,7 @@ Three distinct versions are provided, catering to different needs regarding deta All versions share the same fundamental goal: enabling more effective human-AI teamwork on projects ranging from simple tasks to complex epics. -## Rule Set Versions +## Directory Layout Each version resides in its own subdirectory: diff --git a/src/rulebook_ai/packs/heavy-spec/README.md b/src/rulebook_ai/packs/heavy-spec/README.md new file mode 100644 index 0000000..0cd740a --- /dev/null +++ b/src/rulebook_ai/packs/heavy-spec/README.md @@ -0,0 +1,180 @@ +# Heavy-Spec Pack + +Heavy-Spec is the most detailed and prescriptive ruleset in the Rulebook-AI collection. It provides maximum guardrails and explicit workflow steps for rigorous, large-scale projects. + +## When to Choose Heavy-Spec + +- Large, complex projects requiring maximum rigor and traceability. +- Teams new to human-AI collaboration needing strong guardrails. +- Situations involving less capable AI models that benefit from explicit instructions. +- Projects with strict compliance or validation requirements. +- When predictability and detailed process adherence are paramount. + +If you need less overhead, consider the `medium-spec` or `light-spec` packs. + +## Pack Structure + +- `rules/`: core instruction files such as `00-meta-rules.md`, `06-rules_v1.md`, and workflow guides for planning, coding, and debugging. +- `memory_starters/`: starter documents that seed the persistent project memory bank. +- `tool_starters/`: helper scripts or configurations copied into your project. + +## Installation & Usage + +```bash +# Add this built-in pack to your project's library +uvx rulebook-ai packs add heavy-spec --project-dir /path/to/your/project + +# Apply the pack and generate assistant-specific rule files +uvx rulebook-ai project sync --assistant cursor --project-dir /path/to/your/project +``` + +Add `memory/`, `tools/`, `env.example`, and `requirements.txt` to version control. Framework state in `.rulebook-ai/` and generated rule directories (e.g., `.cursor/`, `.clinerules/`, `.roo/`) should go in `.gitignore`. + +## Key Concepts & Prompting Tips + +- **`.rulebook-ai/`** – internal framework state. After `project sync`, local copies of pack rules live in `.rulebook-ai/packs/` and are regenerated as needed. +- **`memory/`** – persistent, user-owned documents (PRD, architecture, technical specs, task plans) that the AI can read and update. +- **File references** – point your assistant at files using its reference syntax (e.g., `@memory/docs/product_requirement_docs.md`). + +### Prompt Patterns + +- **Planning** – ask the AI to update tasks or docs. + _Example:_ "Add a 'Refactor Auth' task to @memory/tasks/tasks_plan.md with a short description." +- **Context lookup** – query the AI about project decisions or status. + _Example:_ "What database did we choose in @memory/docs/architecture.md?" +- **Implementation guidance** – request code while referencing rules and memory. + _Example:_ "Follow @.rulebook-ai/packs/heavy-spec/rules/03-rules-code/01-code_v1.md to build the login flow described in @memory/tasks/active_context.md." + +## Plan/Implement/Debug: Systematic Workflow for Tasks + +The rule files cached in `.rulebook-ai/packs/heavy-spec/rules/` define a structured workflow for approaching any development task, regardless of granularity. This workflow is based on standard software engineering best practices and promotes a systematic approach to problem-solving. + +## Five-Phased Workflow + +Heavy-Spec encodes a five-phased approach to software development. The phases correspond to the planning, coding, and debugging rules in `rules/02-rules-architect`, `rules/03-rules-code`, and `rules/04-rules-debug`. + +**(i) Requirements and Clarifications:** + + it starts with making the requirements very clear and asking as much clarification as possible in the beginning. This is always the first task software development. Where all the requirements are made as precise and verbose as possible so as to save Time and effort later in redoing. Plus anticipate Major bottlenecks ahead of any work. + +**(ii) Exhaustive Searching and Optimal Plan:** + exhaustive searching and optimal plan: search all possible directions in which the problem can be solved. And find out the optimal solution, which can be also a amalgamation of many different approaches. And reason rigourously, why the chosen approach is optimal. + +**(iii) User Validation:** + + validate the developed optimal plan with the user clearly stating the assumptions and design decisions made, and the reasons for them. + +**(iv) Implementation:** + + implement proposed plan in an iterative way, taking one functionality at a time, testing it exhaustively with all the cases. And then building the next functionality. In this way to make the system, robust and incremental. + +**(v) Further Suggestions:** + + after implementation, suggesting possible optimisation to be done or possible, additional features for security or functionality to be added. + +So this five phased approach, is for a software life-cycle. But this can be applied for any grnuarlity, like entire project or a single functionality. For example, very clearly recording the requirement for the functionality and asking clarifying questions is as good for a single small functionality as for a program. So this five phased, solution strategy workflow is to be followed at every part of development. + +## Leveraging Your AI's Enhanced Brain: Example Interactions + +Once Rulebook-AI is set up with a chosen pack (cached under `.rulebook-ai/`) and the memory bank (in `memory/`), you can interact with your AI coding assistant much more effectively. Here are a few crucial examples of how to leverage this enhanced context and guidance. Remember to use your AI assistant's specific syntax for referencing files (e.g., `@filename` in Cursor or Copilot). + +1. **Maintain Project Structure & Planning:** + * **Goal:** Use the AI to help keep your project documentation and task lists up-to-date. + * **Example Prompt (in your AI chat):** + ``` + Based on section 3.2 of @memory/docs/product_requirement_docs.md, create three new tasks in @memory/tasks/tasks_plan.md for the upcoming 'User Profile Redesign' feature. For each task, include a brief description, assign it a unique ID, and estimate its priority (High/Medium/Low). + ``` + * **Why this is important:** This demonstrates the AI actively participating in project management by updating the "memory bank" itself. It ensures your planning documents stay synchronized with insights derived from foundational requirements, turning the AI into a proactive assistant beyond just code generation. +2. **Retrieve Context-Specific Information Instantly:** + * **Goal:** Quickly access key project details without manually searching through documents. + * **Example Prompt (in your AI chat):** + ``` + What is the current status of task 'API-003' as listed in @memory/tasks/tasks_plan.md? Also, remind me which database technology we decided on according to @memory/docs/architecture.md. + ``` + * **Why this is important:** This highlights the power of the "persistent memory bank." The AI acts as a knowledgeable team member, capable of quickly recalling specific project decisions, technical details, and task statuses, significantly improving your workflow efficiency. +3. **Implement Features with Deep Context & Guided Workflow:** + * **Goal:** Guide the AI to develop code by following defined procedures and referencing precise project context. + * **Example Prompt (in your AI chat):** + ``` + Using the workflow defined in @.rulebook-ai/packs/heavy-spec/rules/03-rules-code/01-code_v1.md, please develop the `updateUserProfile` function. The detailed requirements for this function are specified under the 'User Profile Update' task in @memory/tasks/active_context.md. Ensure the implementation aligns with the API design guidelines found in @memory/docs/technical.md. + ``` + * **Why this is important:** This is the core development loop where Rulebook-AI shines. It shows the AI leveraging both the *procedural rules* (how to approach implementation, from `.rulebook-ai/packs/`) and the rich *contextual memory* (what to implement and its surrounding technical landscape, from `memory/`). This leads to more accurate, consistent, and context-aware code generation, reducing rework and improving quality. + +These examples illustrate how providing structured rules and a persistent memory bank allows for more sophisticated and productive interactions with your AI coding assistant. Experiment with referencing different files from your `.rulebook-ai/packs/` and `memory/` directories to best suit your workflow. + +## Memory: Persistent Project Documentation + +The `memory` files (located in `clinerules/memory` and `cursor/rules/memory.mdc`) establish a robust documentation system that serves as persistent memory for the project and the AI assistant. This system is inspired by standard software development documentation practices, including PRDs, architecture plans, technical specifications, and RFCs. So, keeping these software life-cycle documentation is as focus. We develop our memory bank to have these document in sync to provide the complete context for the project. We have few additional files for current context and task plan in tasks/. + +**Memory Files Structure:** + +The memory system is structured into Core Files (required) and Context Files (optional), forming a hierarchical knowledge base for the project. +```mermaid +flowchart TD + PRD[product_requirement_docs.md] --> TECH[technical.md] + PRD --> ARCH[docs/architecture.md] + + ARCH --> TASKS[tasks/tasks_plan.md] + TECH --> TASKS + PRD --> TASKS + + TASKS --> ACTIVE[tasks/active_context.md] + + ACTIVE --> ERROR[.cursor/rules/error-documentation.mdc] + ACTIVE --> LEARN[.cursor/rules/lessons-learned.mdc] + + subgraph LIT[docs/literature] + L1[Research 1] + L2[Research 2] + end + + subgraph RFC[tasks/rfc] + R1[RFC 1] + R2[RFC 2] + end + + TECH --o LIT + TASKS --o RFC + +``` + +**Core Files (Required):** + +1. **`product_requirement_docs.md` (docs/product_requirement_docs.md):** Product Requirement Document (PRD) or Standard Operating Procedure (SOP). + - Defines the project's purpose, problems it solves, core requirements, and goals. + - Serves as the foundational document and source of truth for project scope. + + Product Requirement Documents (PRDs) are foundational blueprints in software development, defining what a product should achieve and guiding teams to align on scope, features, and objectives . + +2. **`architecture.md` (docs/architecture.md):** System Architecture Document. + - Outlines the system's design, component relationships, and dependencies. + + Software architecture documentation is a blueprint that captures design decisions, component interactions, and non-functional requirements. + +3. **`technical.md` (docs/technical.md):** Technical Specifications Document. + - Details the development environment, technologies used, key technical decisions, design patterns, and technical constraints. + +4. **`tasks_plan.md` (tasks/tasks_plan.md):** Task Backlog and Project Progress Tracker. + - Provides an in-depth list of tasks, tracks project progress, current status, and known issues. + +5. **`active_context.md` (tasks/active_context.md):** Active Development Context. + - Captures the current focus of development, active decisions, recent changes, and next steps. + +6. **`error-documentation.mdc` (.cursor/rules/error-documentation.mdc):** Error Documentation. + - Documents reusable fixes for mistakes and corrections, serving as a knowledge base of known issues and resolutions. + +7. **`lessons-learned.mdc` (.cursor/rules/lessons-learned.mdc):** Lessons Learned Journal. + - A project-specific learning journal that captures patterns, preferences, and project intelligence for continuous improvement. + +**Context Files (Optional):** + +**NOTE**: I use LATEX, but you can use .md or any other format. +1. **`docs/literature/`:** Literature Survey and Research Directory. + - Contains research papers and literature surveys in LaTeX format (`docs/literature/*.tex`). + +2. **`tasks/rfc/`:** Request for Comments (RFC) Directory. + - Stores RFCs for individual tasks in LaTeX format (`tasks/rfc/*.tex`), providing detailed specifications and discussions for specific functionalities. + +**Additional Context:** + +Further files and folders can be added within `docs/` or `tasks/` to organize supplementary documentation such as integration specifications, testing strategies, and deployment procedures. diff --git a/src/rulebook_ai/packs/heavy-spec/manifest.yaml b/src/rulebook_ai/packs/heavy-spec/manifest.yaml new file mode 100644 index 0000000..795aa6d --- /dev/null +++ b/src/rulebook_ai/packs/heavy-spec/manifest.yaml @@ -0,0 +1,3 @@ +name: heavy-spec +version: 0.1.0 +summary: The original, highly detailed and prescriptive ruleset for AI collaboration. diff --git a/src/rulebook_ai/memory_starters/docs/architecture_template.md b/src/rulebook_ai/packs/heavy-spec/memory_starters/docs/architecture_template.md similarity index 100% rename from src/rulebook_ai/memory_starters/docs/architecture_template.md rename to src/rulebook_ai/packs/heavy-spec/memory_starters/docs/architecture_template.md diff --git a/src/rulebook_ai/memory_starters/docs/product_requirement_docs_template.md b/src/rulebook_ai/packs/heavy-spec/memory_starters/docs/product_requirement_docs_template.md similarity index 100% rename from src/rulebook_ai/memory_starters/docs/product_requirement_docs_template.md rename to src/rulebook_ai/packs/heavy-spec/memory_starters/docs/product_requirement_docs_template.md diff --git a/src/rulebook_ai/memory_starters/docs/technical_template.md b/src/rulebook_ai/packs/heavy-spec/memory_starters/docs/technical_template.md similarity index 100% rename from src/rulebook_ai/memory_starters/docs/technical_template.md rename to src/rulebook_ai/packs/heavy-spec/memory_starters/docs/technical_template.md diff --git a/src/rulebook_ai/memory_starters/tasks/active_context_template.md b/src/rulebook_ai/packs/heavy-spec/memory_starters/tasks/active_context_template.md similarity index 100% rename from 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b/src/rulebook_ai/packs/heavy-spec/rules/02-rules-architect/01-plan_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/heavy-spec/02-rules-architect/01-plan_v1.md rename to src/rulebook_ai/packs/heavy-spec/rules/02-rules-architect/01-plan_v1.md diff --git a/src/rulebook_ai/rule_sets/heavy-spec/03-rules-code/01-code_v1.md b/src/rulebook_ai/packs/heavy-spec/rules/03-rules-code/01-code_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/heavy-spec/03-rules-code/01-code_v1.md rename to src/rulebook_ai/packs/heavy-spec/rules/03-rules-code/01-code_v1.md diff --git a/src/rulebook_ai/rule_sets/heavy-spec/04-rules-debug/01-debug_v1.md b/src/rulebook_ai/packs/heavy-spec/rules/04-rules-debug/01-debug_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/heavy-spec/04-rules-debug/01-debug_v1.md rename to src/rulebook_ai/packs/heavy-spec/rules/04-rules-debug/01-debug_v1.md diff --git a/src/rulebook_ai/tool_starters/llm_api.py b/src/rulebook_ai/packs/heavy-spec/tool_starters/llm_api.py similarity index 100% rename from src/rulebook_ai/tool_starters/llm_api.py rename to src/rulebook_ai/packs/heavy-spec/tool_starters/llm_api.py diff --git a/src/rulebook_ai/requirements.txt b/src/rulebook_ai/packs/heavy-spec/tool_starters/requirements.txt similarity index 100% rename from src/rulebook_ai/requirements.txt rename to src/rulebook_ai/packs/heavy-spec/tool_starters/requirements.txt diff --git a/src/rulebook_ai/tool_starters/screenshot_utils.py b/src/rulebook_ai/packs/heavy-spec/tool_starters/screenshot_utils.py similarity index 100% rename from src/rulebook_ai/tool_starters/screenshot_utils.py rename to src/rulebook_ai/packs/heavy-spec/tool_starters/screenshot_utils.py diff --git a/src/rulebook_ai/tool_starters/search_engine.py b/src/rulebook_ai/packs/heavy-spec/tool_starters/search_engine.py similarity index 100% rename from src/rulebook_ai/tool_starters/search_engine.py rename to src/rulebook_ai/packs/heavy-spec/tool_starters/search_engine.py diff --git a/src/rulebook_ai/tool_starters/web_scraper.py b/src/rulebook_ai/packs/heavy-spec/tool_starters/web_scraper.py similarity index 100% rename from src/rulebook_ai/tool_starters/web_scraper.py rename to src/rulebook_ai/packs/heavy-spec/tool_starters/web_scraper.py diff --git a/src/rulebook_ai/packs/light-spec/README.md b/src/rulebook_ai/packs/light-spec/README.md new file mode 100644 index 0000000..7f00cf8 --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/README.md @@ -0,0 +1,253 @@ +# Light-Spec Pack + +## Overview + +The `light-spec` pack transforms your AI assistant into a junior software developer that deeply understands your project. By leveraging established software engineering principles and a structured documentation system, this pack ensures your AI assistants (like Cursor, CLINE, RooCode, Windsurf, and Github Copilot) operate consistently, understand your project's architecture, and follow optimal workflows. + +### Why Use This Pack? + +In modern software development, AI assistants often lack the context to perform beyond simple, one-shot tasks. They don't understand your project's history, its architectural decisions, or your team's conventions. This pack solves that by creating a "second brain" for your AI, enabling it to act as a true partner in building sophisticated applications. + +### Who Is This For? + +* **Individual Developers & Small Teams:** Build complex projects with the discipline of a large, well-organized team. +* **AI-Forward Engineers:** Get the most out of your AI tools by providing them with the structure they need to excel. +* **Prototypers & Innovators:** Move beyond simple scripts and build robust, well-documented applications from day one. + +### Key Features + +* **Structured Memory:** A dedicated `memory/` directory provides your AI with long-term, context-rich knowledge about your project (PRDs, architecture, tasks). +* **Systematic Workflows:** Pre-defined rules for planning, implementation, and debugging ensure consistent, high-quality output. +* **Cross-Platform Compatibility:** Write rules once and use them across multiple AI coding assistants. The `rulebook-ai` tool handles the translation. +* **Reduced Setup Time:** The pack provides a ready-to-use structure, including tool starters and documentation templates, so you can get started quickly. +* **Extensible Tooling:** A `tools/` directory with its own environment setup allows you to add custom scripts and capabilities that your AI can leverage. + +Light-Spec is the most concise ruleset in the Rulebook-AI collection. It focuses on core principles and assumes a highly capable AI model paired with an experienced team. Use it when speed and flexibility are more important than exhaustive guardrails. + +## When to Choose Light-Spec + +- Teams already comfortable directing and validating AI assistants. +- Projects using advanced models that can infer details from principles. +- Rapid prototyping or smaller stories where minimal overhead is preferred. +- Workflows with close human oversight to catch misinterpretations. + +If you need more structure or checks, consider the `medium-spec` or `heavy-spec` packs. + +## Pack Structure + +- `rules/`: core instruction files such as `00-meta-rules.md`, `06-rules_v1.md`, and workflow guides for planning, coding, and debugging. +- `memory_starters/`: starter documents that seed the persistent project memory bank. +- `tool_starters/`: helper scripts or configurations copied into your project. + +## Installation & Usage + +```bash +# Add this built-in pack to your project's library +uvx rulebook-ai packs add light-spec --project-dir /path/to/your/project + +# Apply the pack and generate assistant-specific rule files +uvx rulebook-ai project sync --assistant cursor --project-dir /path/to/your/project +``` + +Add `memory/`, `tools/`, `env.example`, and `requirements.txt` to version control. Framework state in `.rulebook-ai/` and generated rule directories (e.g., `.cursor/`, `.clinerules/`, `.roo/`) should go in `.gitignore`. + +## Tooling Environment Setup + +The `light-spec` pack includes a `tool_starters/` directory that gets copied into your project's `tools/` directory. These are Python scripts that your AI assistant can be instructed to use for tasks like web scraping or searching. To make them work, you need to set up their environment. + +1. **Navigate to the `tools` directory:** + ```bash + cd /path/to/your/project/tools + ``` + +2. **Create and activate a virtual environment:** + This isolates the tools' dependencies from your main project. + ```bash + python -m venv .venv + source .venv/bin/activate + ``` + +3. **Install dependencies:** + The required Python packages are listed in `requirements.txt`. + ```bash + pip install -r requirements.txt + ``` + +4. **Configure Environment Variables:** + Some tools may require API keys or other secrets. + - Copy the example environment file: `cp .env.example .env` + - Edit the `.env` file and add your secrets (e.g., `OPENAI_API_KEY=...`). + - The scripts in `tools/` are pre-configured to load variables from this `.env` file. + +Your AI can now be instructed to run these tools to perform tasks, and they will have the necessary environment and dependencies. + +## Core Philosophy and File Structure + +This pack is built on the idea that an AI assistant's behavior can be guided by a combination of procedural rules and contextual memory, rooted in established software engineering practices. + +- **Rule Files (`plan.md`, `implement.md`, `debug.md`):** These files define *how* the AI should approach tasks. They dictate specific, systematic workflows for planning, coding, and debugging. + - **`plan`**: Defines a workflow for planning based on *chain of thought*, including exhaustive searching, rigorous reasoning, and user validation. + - **`implement`**: Defines a workflow for implementation inspired by concepts like separation of concerns, modular design, and incremental development, with mandatory testing. + - **`debug`**: Defines rules for debugging, including using web search for previously solved errors. + +- **Memory Files (`memory/`):** These files provide the AI with *what* it needs to know—the persistent, structured knowledge about your specific project, including requirements, architecture, and tasks. This forms the AI's long-term project "memory." For a deeper dive into the theory behind these software documents, see the [Software Documentation Guides](../../../../../memory/docs/user_guide/software_documentation_guides.md). + +- **Directory Structure Rule:** A rule is included to encourage a clear and modular project directory structure, promoting separation of concerns (e.g., `src/`, `tests/`, `config/`). + +### Assistant-Specific Rule Generation + +The `project sync` command processes these core ideas and generates the appropriate files for different AI assistants. For example: + +- **Cursor:** Generates individual `.mdc` files in `.cursor/rules/`. +- **RooCode:** Generates mode-specific rules in directories like `.roo/rules-architect/` and `.roo/rules-code/`. +- **Windsurf:** Generates individual `.md` rule files in `.windsurf/rules/`. +- **Single-File Assistants (Warp, GitHub Copilot, etc.):** Concatenates all rules into a single file. + +## Key Concepts & Prompting Tips + +- **`.rulebook-ai/`** – internal framework state. After `project sync`, local copies of pack rules live in `.rulebook-ai/packs/` and are regenerated as needed. +- **`memory/`** – persistent, user-owned documents (PRD, architecture, technical specs, task plans) that the AI can read and update. +- **File references** – point your assistant at files using its reference syntax (e.g., `@memory/docs/product_requirement_docs.md`). + +### Prompt Patterns + +- **Planning** – ask the AI to update tasks or docs. + _Example:_ "Add a 'Refactor Auth' task to @memory/tasks/tasks_plan.md with a short description." +- **Context lookup** – query the AI about project decisions or status. + _Example:_ "What database did we choose in @memory/docs/architecture.md?" +- **Implementation guidance** – request code while referencing rules and memory. + _Example:_ "Follow @.rulebook-ai/packs/light-spec/rules/03-rules-code/01-code_v1.md to build the login flow described in @memory/tasks/active_context.md." + +## Plan/Implement/Debug: Systematic Workflow for Tasks + +The rule files cached in `.rulebook-ai/packs/light-spec/rules/` define a structured workflow for approaching any development task, regardless of granularity. This workflow is based on standard software engineering best practices and promotes a systematic approach to problem-solving. + +## Five-Phased Workflow + +Light-Spec encodes a five-phased approach to software development. The phases correspond to the planning, coding, and debugging rules in `rules/02-rules-architect`, `rules/03-rules-code`, and `rules/04-rules-debug`. + +**(i) Requirements and Clarifications:** + + it starts with making the requirements very clear and asking as much clarification as possible in the beginning. This is always the first task software development. Where all the requirements are made as precise and verbose as possible so as to save Time and effort later in redoing. Plus anticipate Major bottlenecks ahead of any work. + +**(ii) Exhaustive Searching and Optimal Plan:** + exhaustive searching and optimal plan: search all possible directions in which the problem can be solved. And find out the optimal solution, which can be also a amalgamation of many different approaches. And reason rigourously, why the chosen approach is optimal. + +**(iii) User Validation:** + + validate the developed optimal plan with the user clearly stating the assumptions and design decisions made, and the reasons for them. + +**(iv) Implementation:** + + implement proposed plan in an iterative way, taking one functionality at a time, testing it exhaustively with all the cases. And then building the next functionality. In this way to make the system, robust and incremental. + +**(v) Further Suggestions:** + + after implementation, suggesting possible optimisation to be done or possible, additional features for security or functionality to be added. + +So this five phased approach, is for a software life-cycle. But this can be applied for any grnuarlity, like entire project or a single functionality. For example, very clearly recording the requirement for the functionality and asking clarifying questions is as good for a single small functionality as for a program. So this five phased, solution strategy workflow is to be followed at every part of development. + +## Leveraging Your AI's Enhanced Brain: Example Interactions + +Once Rulebook-AI is set up with a chosen pack (cached under `.rulebook-ai/`) and the memory bank (in `memory/`), you can interact with your AI coding assistant much more effectively. Here are a few crucial examples of how to leverage this enhanced context and guidance. Remember to use your AI assistant's specific syntax for referencing files (e.g., `@filename` in Cursor or Copilot). + +1. **Maintain Project Structure & Planning:** + * **Goal:** Use the AI to help keep your project documentation and task lists up-to-date. + * **Example Prompt (in your AI chat):** + ``` + Based on section 3.2 of @memory/docs/product_requirement_docs.md, create three new tasks in @memory/tasks/tasks_plan.md for the upcoming 'User Profile Redesign' feature. For each task, include a brief description, assign it a unique ID, and estimate its priority (High/Medium/Low). + ``` + * **Why this is important:** This demonstrates the AI actively participating in project management by updating the "memory bank" itself. It ensures your planning documents stay synchronized with insights derived from foundational requirements, turning the AI into a proactive assistant beyond just code generation. +2. **Retrieve Context-Specific Information Instantly:** + * **Goal:** Quickly access key project details without manually searching through documents. + * **Example Prompt (in your AI chat):** + ``` + What is the current status of task 'API-003' as listed in @memory/tasks/tasks_plan.md? Also, remind me which database technology we decided on according to @memory/docs/architecture.md. + ``` + * **Why this is important:** This highlights the power of the "persistent memory bank." The AI acts as a knowledgeable team member, capable of quickly recalling specific project decisions, technical details, and task statuses, significantly improving your workflow efficiency. +3. **Implement Features with Deep Context & Guided Workflow:** + * **Goal:** Guide the AI to develop code by following defined procedures and referencing precise project context. + * **Example Prompt (in your AI chat):** + ``` + Using the workflow defined in @.rulebook-ai/packs/light-spec/rules/03-rules-code/01-code_v1.md, please develop the `updateUserProfile` function. The detailed requirements for this function are specified under the 'User Profile Update' task in @memory/tasks/active_context.md. Ensure the implementation aligns with the API design guidelines found in @memory/docs/technical.md. + ``` + * **Why this is important:** This is the core development loop where Rulebook-AI shines. It shows the AI leveraging both the *procedural rules* (how to approach implementation, from `.rulebook-ai/packs/`) and the rich *contextual memory* (what to implement and its surrounding technical landscape, from `memory/`). This leads to more accurate, consistent, and context-aware code generation, reducing rework and improving quality. + +These examples illustrate how providing structured rules and a persistent memory bank allows for more sophisticated and productive interactions with your AI coding assistant. Experiment with referencing different files from your `.rulebook-ai/packs/` and `memory/` directories to best suit your workflow. + +## Memory: Persistent Project Documentation + +The `memory` files (located in `clinerules/memory` and `cursor/rules/memory.mdc`) establish a robust documentation system that serves as persistent memory for the project and the AI assistant. This system is inspired by standard software development documentation practices, including PRDs, architecture plans, technical specifications, and RFCs. So, keeping these software life-cycle documentation is as focus. We develop our memory bank to have these document in sync to provide the complete context for the project. We have few additional files for current context and task plan in tasks/. + +**Memory Files Structure:** + +The memory system is structured into Core Files (required) and Context Files (optional), forming a hierarchical knowledge base for the project. +```mermaid +flowchart TD + PRD[product_requirement_docs.md] --> TECH[technical.md] + PRD --> ARCH[docs/architecture.md] + + ARCH --> TASKS[tasks/tasks_plan.md] + TECH --> TASKS + PRD --> TASKS + + TASKS --> ACTIVE[tasks/active_context.md] + + ACTIVE --> ERROR[.cursor/rules/error-documentation.mdc] + ACTIVE --> LEARN[.cursor/rules/lessons-learned.mdc] + + subgraph LIT[docs/literature] + L1[Research 1] + L2[Research 2] + end + + subgraph RFC[tasks/rfc] + R1[RFC 1] + R2[RFC 2] + end + + TECH --o LIT + TASKS --o RFC + +``` + +**Core Files (Required):** + +1. **`product_requirement_docs.md` (docs/product_requirement_docs.md):** Product Requirement Document (PRD) or Standard Operating Procedure (SOP). + - Defines the project's purpose, problems it solves, core requirements, and goals. + - Serves as the foundational document and source of truth for project scope. + + Product Requirement Documents (PRDs) are foundational blueprints in software development, defining what a product should achieve and guiding teams to align on scope, features, and objectives . + +2. **`architecture.md` (docs/architecture.md):** System Architecture Document. + - Outlines the system's design, component relationships, and dependencies. + + Software architecture documentation is a blueprint that captures design decisions, component interactions, and non-functional requirements. + +3. **`technical.md` (docs/technical.md):** Technical Specifications Document. + - Details the development environment, technologies used, key technical decisions, design patterns, and technical constraints. + +4. **`tasks_plan.md` (tasks/tasks_plan.md):** Task Backlog and Project Progress Tracker. + - Provides an in-depth list of tasks, tracks project progress, current status, and known issues. + +5. **`active_context.md` (tasks/active_context.md):** Active Development Context. + - Captures the current focus of development, active decisions, recent changes, and next steps. + +6. **`error-documentation.mdc` (.cursor/rules/error-documentation.mdc):** Error Documentation. + - Documents reusable fixes for mistakes and corrections, serving as a knowledge base of known issues and resolutions. + +7. **`lessons-learned.mdc` (.cursor/rules/lessons-learned.mdc):** Lessons Learned Journal. + - A project-specific learning journal that captures patterns, preferences, and project intelligence for continuous improvement. + +**Context Files (Optional):** + +**NOTE**: I use LATEX, but you can use .md or any other format. +1. **`docs/literature/`:** Literature Survey and Research Directory. + - Contains research papers and literature surveys in LaTeX format (`docs/literature/*.tex`). + +2. **`tasks/rfc/`:** Request for Comments (RFC) Directory. + - Stores RFCs for individual tasks in LaTeX format (`tasks/rfc/*.tex`), providing detailed specifications and discussions for specific functionalities. + +**Additional Context:** + +Further files and folders can be added within `docs/` or `tasks/` to organize supplementary documentation such as integration specifications, testing strategies, and deployment procedures. diff --git a/src/rulebook_ai/packs/light-spec/manifest.yaml b/src/rulebook_ai/packs/light-spec/manifest.yaml new file mode 100644 index 0000000..39ea4da --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/manifest.yaml @@ -0,0 +1,3 @@ +name: light-spec +version: 0.1.0 +summary: An advanced simplification of the ruleset, focusing on core principles. diff --git a/src/rulebook_ai/packs/light-spec/memory_starters/docs/architecture_template.md b/src/rulebook_ai/packs/light-spec/memory_starters/docs/architecture_template.md new file mode 100644 index 0000000..e69e554 --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/memory_starters/docs/architecture_template.md @@ -0,0 +1,76 @@ +# Architecture Document Template + +## 1. Introduction +* **Project Name:** \[Project Name] +* **Document Version:** \[Version Number] +* **Date:** \[Date] +* **Author(s):** \[Author(s)] +* **Purpose:** Briefly describe the purpose of this document and the project. + +## 2. Goals +* **Architectural Goals:** What are the main architectural goals of this project? (e.g., scalability, performance, security, maintainability) +* **Business Goals:** What business goals does the architecture support? + +## 3. System Overview +* **System Context Diagram:** (Diagram) Show the system in its environment, including external systems and users. +* **Component Diagram:** (Diagram) Show the major components of the system and their relationships. +* **Deployment Diagram:** (Diagram) Show how the system will be deployed. + +## 4. Components +### 4.1. \[Component Name] +* **Description:** Describe the purpose and functionality of this component. +* **Responsibilities:** What are the responsibilities of this component? +* **Interfaces:** What interfaces does this component expose? +* **Dependencies:** What other components does this component depend on? +* **Implementation Details:** Briefly describe the implementation details of this component. + +### 4.2. \[Component Name] +* **(Repeat for each component)** + +## 5. Data Architecture +* **Data Model:** Describe the data model used by the system. +* **Data Storage:** Describe how data will be stored (e.g., database, file system). +* **Data Flow:** Describe how data flows through the system. + +## 6. Security +* **Security Requirements:** List the security requirements for the system. +* **Security Measures:** Describe the security measures that will be implemented to protect the system. + +## 7. Scalability +* **Scalability Requirements:** List the scalability requirements for the system. +* **Scalability Strategy:** Describe how the system will be scaled to meet the requirements. + +## 8. Performance +* **Performance Requirements:** List the performance requirements for the system. +* **Performance Optimization:** Describe how the system will be optimized for performance. + +## 9. Technology Stack +* List the technologies used in the system (e.g., programming languages, frameworks, libraries, databases). + +## 10. Deployment +* Describe how the system will be deployed. +* Include details about the deployment environment, deployment process, and deployment tools. + +## 11. Monitoring +* Describe how the system will be monitored. +* Include details about the monitoring tools and metrics. + +## 12. Open Issues +* List any open issues or questions that need to be resolved. + +## 13. Future Considerations +* List any potential future enhancements or features that are not included in the current scope but may be considered for future releases. + +## 14. Glossary +* Define any technical terms or acronyms used in this document. + +--- + +**Example Prompts for Filling Out This Template:** + +* "What are the main architectural goals of this project? What are the key priorities?" +* "What are the major components of the system? How do they interact with each other?" +* "What is the data model used by the system? How is data stored and accessed?" +* "What are the security requirements for the system? How will security be ensured?" +* "How will the system be scaled to meet future demands? What is the scalability strategy?" +* "What technologies will be used in this project? Why were these technologies chosen?" diff --git a/src/rulebook_ai/packs/light-spec/memory_starters/docs/product_requirement_docs_template.md b/src/rulebook_ai/packs/light-spec/memory_starters/docs/product_requirement_docs_template.md new file mode 100644 index 0000000..cb31278 --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/memory_starters/docs/product_requirement_docs_template.md @@ -0,0 +1,66 @@ +# Product Requirement Document (PRD) Template + +## 1. Introduction +* **Project Name:** \[Project Name] +* **Document Version:** \[Version Number] +* **Date:** \[Date] +* **Author(s):** \[Author(s)] +* **Purpose:** Briefly describe the purpose of this document and the project. + +## 2. Goals +* **Business Goals:** What business goals does this project support? (e.g., increase revenue, improve customer satisfaction, reduce costs) +* **User Goals:** What goals will this project help users achieve? (e.g., easily manage their accounts, quickly find information, collaborate effectively) + +## 3. Background and Rationale +* **Problem:** What problem does this project solve? Why is this project necessary? +* **Market Analysis:** (If applicable) Briefly describe the market and target audience. +* **Competitive Analysis:** (If applicable) Briefly describe the competitive landscape and how this project will differentiate itself. + +## 4. Scope +* **In Scope:** List the features and functionalities that are included in this project. +* **Out of Scope:** List the features and functionalities that are explicitly excluded from this project. + +## 5. Target Audience +* **Target Users:** Describe the target users for this project. Include demographics, user personas, and any relevant user characteristics. + +## 6. Requirements +### 6.1. Functional Requirements +* List the specific functionalities that the system must provide. + * Example: "The system must allow users to create an account with a unique username and password." + * Example: "The system must allow administrators to manage user accounts." + +### 6.2. Non-Functional Requirements +* List the non-functional requirements, such as performance, security, scalability, usability, and reliability. + * Example: "The system must be able to handle 10,000 concurrent users." + * Example: "The system must be secure and protect user data." + * Example: "The system must be easy to use and intuitive." + +## 7. Release Criteria +* **Definition of Done:** What criteria must be met for this project to be considered complete? +* **Acceptance Testing:** How will the project be tested to ensure that it meets the requirements? + +## 8. Success Metrics +* How will the success of this project be measured? (e.g., increased user engagement, improved customer satisfaction, reduced support costs) + +## 9. Risks and Challenges +* List any potential risks and challenges that may impact the project. +* Include mitigation strategies for each risk. + +## 10. Open Issues +* List any open issues or questions that need to be resolved. + +## 11. Future Considerations +* List any potential future enhancements or features that are not included in the current scope but may be considered for future releases. + +## 12. Glossary +* Define any technical terms or acronyms used in this document. + +--- + +**Example Prompts for Filling Out This Template:** + +* "What is the primary purpose of this project? What problem does it solve?" +* "Who is the target audience for this project? Describe their needs and goals." +* "What are the key functional requirements for this project? What features must be included?" +* "What are the non-functional requirements for this project? How will performance, security, and usability be ensured?" +* "What are the potential risks and challenges associated with this project? How can these risks be mitigated?" diff --git a/src/rulebook_ai/packs/light-spec/memory_starters/docs/technical_template.md b/src/rulebook_ai/packs/light-spec/memory_starters/docs/technical_template.md new file mode 100644 index 0000000..44fe19a --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/memory_starters/docs/technical_template.md @@ -0,0 +1,75 @@ +# Technical Specifications Document Template + +## 1. Introduction +* **Project Name:** \[Project Name] +* **Document Version:** \[Version Number] +* **Date:** \[Date] +* **Author(s):** \[Author(s)] +* **Purpose:** Briefly describe the purpose of this document and the project. + +## 2. Goals +* **Technical Goals:** What are the main technical goals of this project? (e.g., performance, scalability, security, maintainability) +* **Business Goals:** What business goals do the technical specifications support? + +## 3. Development Environment +* **Operating Systems:** List the supported operating systems. +* **Programming Languages:** List the programming languages used in the project. +* **Frameworks:** List the frameworks used in the project. +* **Libraries:** List the key libraries used in the project. +* **Development Tools:** List the development tools used in the project (e.g., IDEs, debuggers, build tools). + +## 4. Technologies Used +* **Technology Stack:** Describe the technology stack used in the project. +* **Technology Selection Rationale:** Explain why these technologies were chosen. + +## 5. Key Technical Decisions +* List the key technical decisions made during the project. +* Explain the rationale behind each decision. + +## 6. Design Patterns +* List the design patterns used in the project. +* Explain how these patterns are used and why they were chosen. + +## 7. Technical Constraints +* List any technical constraints that may impact the project. +* Explain how these constraints will be addressed. + +## 8. API Specifications +* (If applicable) Describe the API specifications for the project. +* Include details about the API endpoints, request/response formats, and authentication methods. + +## 9. Data Storage +* Describe how data will be stored. +* Include details about the database schema, data types, and data access methods. + +## 10. Security Considerations +* List the security considerations for the project. +* Describe the security measures that will be implemented to protect the system. + +## 11. Performance Considerations +* List the performance considerations for the project. +* Describe how the system will be optimized for performance. + +## 12. Scalability Considerations +* List the scalability considerations for the project. +* Describe how the system will be scaled to meet future demands. + +## 13. Open Issues +* List any open issues or questions that need to be resolved. + +## 14. Future Considerations +* List any potential future enhancements or features that are not included in the current scope but may be considered for future releases. + +## 15. Glossary +* Define any technical terms or acronyms used in this document. + +--- + +**Example Prompts for Filling Out This Template:** + +* "What are the main technical goals of this project? What are the key priorities?" +* "What technologies will be used in this project? Why were these technologies chosen?" +* "What are the key technical decisions that have been made so far? What was the rationale behind each decision?" +* "What design patterns will be used in this project? How will these patterns be implemented?" +* "What are the technical constraints that may impact this project? How will these constraints be addressed?" +* "How will data be stored and accessed in this project? What database schema will be used?" diff --git a/src/rulebook_ai/packs/light-spec/memory_starters/tasks/active_context_template.md b/src/rulebook_ai/packs/light-spec/memory_starters/tasks/active_context_template.md new file mode 100644 index 0000000..64f3f98 --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/memory_starters/tasks/active_context_template.md @@ -0,0 +1,22 @@ +# Active Development Context Template + +## Current Work Focus: +* \[Describe the current focus of development] + +## Active Decisions and Considerations: +* \[List any active decisions that are being made or considered] + +## Recent Changes: +* \[List any recent changes that have been made to the codebase] + +## Next Steps: +* \[List the next steps that need to be taken] + +--- + +**Example Prompts for Filling Out This Template:** + +* "What is the current focus of development? What are you working on right now?" +* "What decisions are you currently making or considering? What are the trade-offs?" +* "What changes have been made to the codebase recently? What was the impact of these changes?" +* "What are the next steps that need to be taken? What are the priorities?" diff --git a/src/rulebook_ai/packs/light-spec/memory_starters/tasks/tasks_plan_template.md b/src/rulebook_ai/packs/light-spec/memory_starters/tasks/tasks_plan_template.md new file mode 100644 index 0000000..b0b315e --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/memory_starters/tasks/tasks_plan_template.md @@ -0,0 +1,25 @@ +# Task Backlog and Project Progress Tracker Template + +## Backlog: + +### \[Task Category]: + - [ ] \[Task Description] + -- Context: \[Context for the task] + -- Importance: \[High, Medium, Low] + -- Dependencies: \[List any dependencies] + +## Current Status: +* \[Briefly describe the current status of the project] + +## Known Issues: +* \[List any known issues or challenges] + +--- + +**Example Prompts for Filling Out This Template:** + +* "What are the main tasks that need to be completed for this project?" +* "What is the current status of the project? What has been accomplished so far?" +* "What are the known issues or challenges that need to be addressed?" +* "What are the dependencies between the different tasks?" +* "What is the importance of each task? Which tasks should be prioritized?" diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/00-meta-rules.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/00-meta-rules.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/00-meta-rules.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/00-meta-rules.md diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/01-memory.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/01-memory.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/01-memory.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/01-memory.md diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/02-error-documentation.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/02-error-documentation.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/02-error-documentation.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/02-error-documentation.md diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/03-lessons-learned.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/03-lessons-learned.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/03-lessons-learned.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/03-lessons-learned.md diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/04-archiecture-understanding.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/04-archiecture-understanding.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/04-archiecture-understanding.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/04-archiecture-understanding.md diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/05-directory-structure.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/05-directory-structure.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/05-directory-structure.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/05-directory-structure.md diff --git a/src/rulebook_ai/rule_sets/light-spec/01-rules/06-rules_v1.md b/src/rulebook_ai/packs/light-spec/rules/01-rules/06-rules_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/01-rules/06-rules_v1.md rename to src/rulebook_ai/packs/light-spec/rules/01-rules/06-rules_v1.md diff --git a/src/rulebook_ai/rule_sets/light-spec/02-rules-architect/01-plan_v1.md b/src/rulebook_ai/packs/light-spec/rules/02-rules-architect/01-plan_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/02-rules-architect/01-plan_v1.md rename to src/rulebook_ai/packs/light-spec/rules/02-rules-architect/01-plan_v1.md diff --git a/src/rulebook_ai/rule_sets/light-spec/03-rules-code/01-code_v1.md b/src/rulebook_ai/packs/light-spec/rules/03-rules-code/01-code_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/03-rules-code/01-code_v1.md rename to src/rulebook_ai/packs/light-spec/rules/03-rules-code/01-code_v1.md diff --git a/src/rulebook_ai/rule_sets/light-spec/04-rules-debug/01-debug_v1.md b/src/rulebook_ai/packs/light-spec/rules/04-rules-debug/01-debug_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/light-spec/04-rules-debug/01-debug_v1.md rename to src/rulebook_ai/packs/light-spec/rules/04-rules-debug/01-debug_v1.md diff --git a/src/rulebook_ai/packs/light-spec/tool_starters/llm_api.py b/src/rulebook_ai/packs/light-spec/tool_starters/llm_api.py new file mode 100644 index 0000000..598f44d --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/tool_starters/llm_api.py @@ -0,0 +1,272 @@ +#!/usr/bin/env /workspace/tmp_windsurf/venv/bin/python3 + +import google.generativeai as genai +from openai import OpenAI, AzureOpenAI +from anthropic import Anthropic +import argparse +import os +from dotenv import load_dotenv +from pathlib import Path +import sys +import base64 +from typing import Optional, Union, List +import mimetypes + +def load_environment(): + """Load environment variables from .env files in order of precedence""" + # Order of precedence: + # 1. System environment variables (already loaded) + # 2. .env.local (user-specific overrides) + # 3. .env (project defaults) + # 4. .env.example (example configuration) + + env_files = ['.env.local', '.env', '.env.example'] + env_loaded = False + + print("Current working directory:", Path('.').absolute(), file=sys.stderr) + print("Looking for environment files:", env_files, file=sys.stderr) + + for env_file in env_files: + env_path = Path('.') / env_file + print(f"Checking {env_path.absolute()}", file=sys.stderr) + if env_path.exists(): + print(f"Found {env_file}, loading variables...", file=sys.stderr) + load_dotenv(dotenv_path=env_path) + env_loaded = True + print(f"Loaded environment variables from {env_file}", file=sys.stderr) + # Print loaded keys (but not values for security) + with open(env_path) as f: + keys = [line.split('=')[0].strip() for line in f if '=' in line and not line.startswith('#')] + print(f"Keys loaded from {env_file}: {keys}", file=sys.stderr) + + if not env_loaded: + print("Warning: No .env files found. Using system environment variables only.", file=sys.stderr) + print("Available system environment variables:", list(os.environ.keys()), file=sys.stderr) + +# Load environment variables at module import +load_environment() + +def encode_image_file(image_path: str) -> tuple[str, str]: + """ + Encode an image file to base64 and determine its MIME type. + + Args: + image_path (str): Path to the image file + + Returns: + tuple: (base64_encoded_string, mime_type) + """ + mime_type, _ = mimetypes.guess_type(image_path) + if not mime_type: + mime_type = 'image/png' # Default to PNG if type cannot be determined + + with open(image_path, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + + return encoded_string, mime_type + +def create_llm_client(provider="openai"): + if provider == "openai": + api_key = os.getenv('OPENAI_API_KEY') + if not api_key: + raise ValueError("OPENAI_API_KEY not found in environment variables") + return OpenAI( + api_key=api_key + ) + elif provider == "azure": + api_key = os.getenv('AZURE_OPENAI_API_KEY') + if not api_key: + raise ValueError("AZURE_OPENAI_API_KEY not found in environment variables") + return AzureOpenAI( + api_key=api_key, + api_version="2024-08-01-preview", + azure_endpoint="https://msopenai.openai.azure.com" + ) + elif provider == "deepseek": + api_key = os.getenv('DEEPSEEK_API_KEY') + if not api_key: + raise ValueError("DEEPSEEK_API_KEY not found in environment variables") + return OpenAI( + api_key=api_key, + base_url="https://api.deepseek.com/v1", + ) + elif provider == "siliconflow": + api_key = os.getenv('SILICONFLOW_API_KEY') + if not api_key: + raise ValueError("SILICONFLOW_API_KEY not found in environment variables") + return OpenAI( + api_key=api_key, + base_url="https://api.siliconflow.cn/v1" + ) + elif provider == "anthropic": + api_key = os.getenv('ANTHROPIC_API_KEY') + if not api_key: + raise ValueError("ANTHROPIC_API_KEY not found in environment variables") + return Anthropic( + api_key=api_key + ) + elif provider == "gemini": + api_key = os.getenv('GOOGLE_API_KEY') + if not api_key: + raise ValueError("GOOGLE_API_KEY not found in environment variables") + genai.configure(api_key=api_key) + return genai + elif provider == "local": + return OpenAI( + base_url="http://192.168.180.137:8006/v1", + api_key="not-needed" + ) + else: + raise ValueError(f"Unsupported provider: {provider}") + +def query_llm(prompt: str, client=None, model=None, provider="openai", image_path: Optional[str] = None) -> Optional[str]: + """ + Query an LLM with a prompt and optional image attachment. + + Args: + prompt (str): The text prompt to send + client: The LLM client instance + model (str, optional): The model to use + provider (str): The API provider to use + image_path (str, optional): Path to an image file to attach + + Returns: + Optional[str]: The LLM's response or None if there was an error + """ + if client is None: + client = create_llm_client(provider) + + try: + # Set default model + if model is None: + if provider == "openai": + model = "gpt-4o" + elif provider == "azure": + model = os.getenv('AZURE_OPENAI_MODEL_DEPLOYMENT', 'gpt-4o-ms') # Get from env with fallback + elif provider == "deepseek": + model = "deepseek-chat" + elif provider == "siliconflow": + model = "deepseek-ai/DeepSeek-R1" + elif provider == "anthropic": + model = "claude-3-7-sonnet-20250219" + elif provider == "gemini": + model = "gemini-2.0-flash-exp" + elif provider == "local": + model = "Qwen/Qwen2.5-32B-Instruct-AWQ" + + if provider in ["openai", "local", "deepseek", "azure", "siliconflow"]: + messages = [{"role": "user", "content": []}] + + # Add text content + messages[0]["content"].append({ + "type": "text", + "text": prompt + }) + + # Add image content if provided + if image_path: + if provider == "openai": + encoded_image, mime_type = encode_image_file(image_path) + messages[0]["content"] = [ + {"type": "text", "text": prompt}, + {"type": "image_url", "image_url": {"url": f"data:{mime_type};base64,{encoded_image}"}} + ] + + kwargs = { + "model": model, + "messages": messages, + "temperature": 0.7, + } + + # Add o1-specific parameters + if model == "o1": + kwargs["response_format"] = {"type": "text"} + kwargs["reasoning_effort"] = "low" + del kwargs["temperature"] + + response = client.chat.completions.create(**kwargs) + return response.choices[0].message.content + + elif provider == "anthropic": + messages = [{"role": "user", "content": []}] + + # Add text content + messages[0]["content"].append({ + "type": "text", + "text": prompt + }) + + # Add image content if provided + if image_path: + encoded_image, mime_type = encode_image_file(image_path) + messages[0]["content"].append({ + "type": "image", + "source": { + "type": "base64", + "media_type": mime_type, + "data": encoded_image + } + }) + + response = client.messages.create( + model=model, + max_tokens=1000, + messages=messages + ) + return response.content[0].text + + elif provider == "gemini": + model = client.GenerativeModel(model) + if image_path: + file = genai.upload_file(image_path, mime_type="image/png") + chat_session = model.start_chat( + history=[{ + "role": "user", + "parts": [file, prompt] + }] + ) + else: + chat_session = model.start_chat( + history=[{ + "role": "user", + "parts": [prompt] + }] + ) + response = chat_session.send_message(prompt) + return response.text + + except Exception as e: + print(f"Error querying LLM: {e}", file=sys.stderr) + return None + +def main(): + parser = argparse.ArgumentParser(description='Query an LLM with a prompt') + parser.add_argument('--prompt', type=str, help='The prompt to send to the LLM', required=True) + parser.add_argument('--provider', choices=['openai','anthropic','gemini','local','deepseek','azure','siliconflow'], default='openai', help='The API provider to use') + parser.add_argument('--model', type=str, help='The model to use (default depends on provider)') + parser.add_argument('--image', type=str, help='Path to an image file to attach to the prompt') + args = parser.parse_args() + + if not args.model: + if args.provider == 'openai': + args.model = "gpt-4o" + elif args.provider == "deepseek": + args.model = "deepseek-chat" + elif args.provider == "siliconflow": + args.model = "deepseek-ai/DeepSeek-R1" + elif args.provider == 'anthropic': + args.model = "claude-3-7-sonnet-20250219" + elif args.provider == 'gemini': + args.model = "gemini-2.0-flash-exp" + elif args.provider == 'azure': + args.model = os.getenv('AZURE_OPENAI_MODEL_DEPLOYMENT', 'gpt-4o-ms') # Get from env with fallback + + client = create_llm_client(args.provider) + response = query_llm(args.prompt, client, model=args.model, provider=args.provider, image_path=args.image) + if response: + print(response) + else: + print("Failed to get response from LLM") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/rulebook_ai/packs/light-spec/tool_starters/requirements.txt b/src/rulebook_ai/packs/light-spec/tool_starters/requirements.txt new file mode 100644 index 0000000..798848d --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/tool_starters/requirements.txt @@ -0,0 +1,22 @@ +# Web scraping +playwright>=1.41.0 +html5lib>=1.1 + +# Search engine +duckduckgo-search>=7.2.1 + +# LLM integration +openai>=1.59.8 # o1 support +anthropic>=0.42.0 +python-dotenv>=1.0.0 + +# Testing +unittest2>=1.1.0 +pytest>=8.0.0 +pytest-asyncio>=0.23.5 + +# Google Generative AI +google-generativeai + +# gRPC, for Google Generative AI preventing WARNING: All log messages before absl::InitializeLog() is called are written to STDERR +grpcio==1.71.0 \ No newline at end of file diff --git a/src/rulebook_ai/packs/light-spec/tool_starters/screenshot_utils.py b/src/rulebook_ai/packs/light-spec/tool_starters/screenshot_utils.py new file mode 100755 index 0000000..40d0098 --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/tool_starters/screenshot_utils.py @@ -0,0 +1,56 @@ +#!/usr/bin/env python3 + +import asyncio +from playwright.async_api import async_playwright +import os +import tempfile +from pathlib import Path + +async def take_screenshot(url: str, output_path: str = None, width: int = 1280, height: int = 720) -> str: + """ + Take a screenshot of a webpage using Playwright. + + Args: + url (str): The URL to take a screenshot of + output_path (str, optional): Path to save the screenshot. If None, saves to a temporary file. + width (int, optional): Viewport width. Defaults to 1280. + height (int, optional): Viewport height. Defaults to 720. + + Returns: + str: Path to the saved screenshot + """ + if output_path is None: + # Create a temporary file with .png extension + temp_file = tempfile.NamedTemporaryFile(suffix='.png', delete=False) + output_path = temp_file.name + temp_file.close() + + async with async_playwright() as p: + browser = await p.chromium.launch(headless=True) + page = await browser.new_page(viewport={'width': width, 'height': height}) + + try: + await page.goto(url, wait_until='networkidle') + await page.screenshot(path=output_path, full_page=True) + finally: + await browser.close() + + return output_path + +def take_screenshot_sync(url: str, output_path: str = None, width: int = 1280, height: int = 720) -> str: + """ + Synchronous wrapper for take_screenshot. + """ + return asyncio.run(take_screenshot(url, output_path, width, height)) + +if __name__ == "__main__": + import argparse + parser = argparse.ArgumentParser(description='Take a screenshot of a webpage') + parser.add_argument('url', help='URL to take screenshot of') + parser.add_argument('--output', '-o', help='Output path for screenshot') + parser.add_argument('--width', '-w', type=int, default=1280, help='Viewport width') + parser.add_argument('--height', '-H', type=int, default=720, help='Viewport height') + + args = parser.parse_args() + output_path = take_screenshot_sync(args.url, args.output, args.width, args.height) + print(f"Screenshot saved to: {output_path}") \ No newline at end of file diff --git a/src/rulebook_ai/packs/light-spec/tool_starters/search_engine.py b/src/rulebook_ai/packs/light-spec/tool_starters/search_engine.py new file mode 100755 index 0000000..120544e --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/tool_starters/search_engine.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python3 + +import argparse +import sys +import time +from duckduckgo_search import DDGS + +def search_with_retry(query, max_results=10, max_retries=3): + """ + Search using DuckDuckGo and return results with URLs and text snippets. + + Args: + query (str): Search query + max_results (int): Maximum number of results to return + max_retries (int): Maximum number of retry attempts + """ + for attempt in range(max_retries): + try: + print(f"DEBUG: Searching for query: {query} (attempt {attempt + 1}/{max_retries})", + file=sys.stderr) + + with DDGS() as ddgs: + results = list(ddgs.text(query, max_results=max_results)) + + if not results: + print("DEBUG: No results found", file=sys.stderr) + return [] + + print(f"DEBUG: Found {len(results)} results", file=sys.stderr) + return results + + except Exception as e: + print(f"ERROR: Attempt {attempt + 1}/{max_retries} failed: {str(e)}", file=sys.stderr) + if attempt < max_retries - 1: # If not the last attempt + print(f"DEBUG: Waiting 1 second before retry...", file=sys.stderr) + time.sleep(1) # Wait 1 second before retry + else: + print(f"ERROR: All {max_retries} attempts failed", file=sys.stderr) + raise + +def format_results(results): + """Format and print search results.""" + for i, r in enumerate(results, 1): + print(f"\n=== Result {i} ===") + print(f"URL: {r.get('href', 'N/A')}") + print(f"Title: {r.get('title', 'N/A')}") + print(f"Snippet: {r.get('body', 'N/A')}") + +def search(query, max_results=10, max_retries=3): + """ + Main search function that handles search with retry mechanism. + + Args: + query (str): Search query + max_results (int): Maximum number of results to return + max_retries (int): Maximum number of retry attempts + """ + try: + results = search_with_retry(query, max_results, max_retries) + if results: + format_results(results) + + except Exception as e: + print(f"ERROR: Search failed: {str(e)}", file=sys.stderr) + sys.exit(1) + +def main(): + parser = argparse.ArgumentParser(description="Search using DuckDuckGo API") + parser.add_argument("query", help="Search query") + parser.add_argument("--max-results", type=int, default=10, + help="Maximum number of results (default: 10)") + parser.add_argument("--max-retries", type=int, default=3, + help="Maximum number of retry attempts (default: 3)") + + args = parser.parse_args() + search(args.query, args.max_results, args.max_retries) + +if __name__ == "__main__": + main() diff --git a/src/rulebook_ai/packs/light-spec/tool_starters/web_scraper.py b/src/rulebook_ai/packs/light-spec/tool_starters/web_scraper.py new file mode 100755 index 0000000..80d7a73 --- /dev/null +++ b/src/rulebook_ai/packs/light-spec/tool_starters/web_scraper.py @@ -0,0 +1,207 @@ +#!/usr/bin/env /workspace/tmp_windsurf/venv/bin/python3 + +import asyncio +import argparse +import sys +import os +from typing import List, Optional +from playwright.async_api import async_playwright +import html5lib +from multiprocessing import Pool +import time +from urllib.parse import urlparse +import logging + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s', + stream=sys.stderr +) +logger = logging.getLogger(__name__) + +async def fetch_page(url: str, context) -> Optional[str]: + """Asynchronously fetch a webpage's content.""" + page = await context.new_page() + try: + logger.info(f"Fetching {url}") + await page.goto(url) + await page.wait_for_load_state('networkidle') + content = await page.content() + logger.info(f"Successfully fetched {url}") + return content + except Exception as e: + logger.error(f"Error fetching {url}: {str(e)}") + return None + finally: + await page.close() + +def parse_html(html_content: Optional[str]) -> str: + """Parse HTML content and extract text with hyperlinks in markdown format.""" + if not html_content: + return "" + + try: + document = html5lib.parse(html_content) + result = [] + seen_texts = set() # To avoid duplicates + + def should_skip_element(elem) -> bool: + """Check if the element should be skipped.""" + # Skip script and style tags + if elem.tag in ['{http://www.w3.org/1999/xhtml}script', + '{http://www.w3.org/1999/xhtml}style']: + return True + # Skip empty elements or elements with only whitespace + if not any(text.strip() for text in elem.itertext()): + return True + return False + + def process_element(elem, depth=0): + """Process an element and its children recursively.""" + if should_skip_element(elem): + return + + # Handle text content + if hasattr(elem, 'text') and elem.text: + text = elem.text.strip() + if text and text not in seen_texts: + # Check if this is an anchor tag + if elem.tag == '{http://www.w3.org/1999/xhtml}a': + href = None + for attr, value in elem.items(): + if attr.endswith('href'): + href = value + break + if href and not href.startswith(('#', 'javascript:')): + # Format as markdown link + link_text = f"[{text}]({href})" + result.append(" " * depth + link_text) + seen_texts.add(text) + else: + result.append(" " * depth + text) + seen_texts.add(text) + + # Process children + for child in elem: + process_element(child, depth + 1) + + # Handle tail text + if hasattr(elem, 'tail') and elem.tail: + tail = elem.tail.strip() + if tail and tail not in seen_texts: + result.append(" " * depth + tail) + seen_texts.add(tail) + + # Start processing from the body tag + body = document.find('.//{http://www.w3.org/1999/xhtml}body') + if body is not None: + process_element(body) + else: + # Fallback to processing the entire document + process_element(document) + + # Filter out common unwanted patterns + filtered_result = [] + for line in result: + # Skip lines that are likely to be noise + if any(pattern in line.lower() for pattern in [ + 'var ', + 'function()', + '.js', + '.css', + 'google-analytics', + 'disqus', + '{', + '}' + ]): + continue + filtered_result.append(line) + + return '\n'.join(filtered_result) + except Exception as e: + logger.error(f"Error parsing HTML: {str(e)}") + return "" + +async def process_urls(urls: List[str], max_concurrent: int = 5) -> List[str]: + """Process multiple URLs concurrently.""" + async with async_playwright() as p: + browser = await p.chromium.launch() + try: + # Create browser contexts + n_contexts = min(len(urls), max_concurrent) + contexts = [await browser.new_context() for _ in range(n_contexts)] + + # Create tasks for each URL + tasks = [] + for i, url in enumerate(urls): + context = contexts[i % len(contexts)] + task = fetch_page(url, context) + tasks.append(task) + + # Gather results + html_contents = await asyncio.gather(*tasks) + + # Parse HTML contents in parallel + with Pool() as pool: + results = pool.map(parse_html, html_contents) + + return results + + finally: + # Cleanup + for context in contexts: + await context.close() + await browser.close() + +def validate_url(url: str) -> bool: + """Validate if the given string is a valid URL.""" + try: + result = urlparse(url) + return all([result.scheme, result.netloc]) + except: + return False + +def main(): + parser = argparse.ArgumentParser(description='Fetch and extract text content from webpages.') + parser.add_argument('urls', nargs='+', help='URLs to process') + parser.add_argument('--max-concurrent', type=int, default=5, + help='Maximum number of concurrent browser instances (default: 5)') + parser.add_argument('--debug', action='store_true', + help='Enable debug logging') + + args = parser.parse_args() + + if args.debug: + logger.setLevel(logging.DEBUG) + + # Validate URLs + valid_urls = [] + for url in args.urls: + if validate_url(url): + valid_urls.append(url) + else: + logger.error(f"Invalid URL: {url}") + + if not valid_urls: + logger.error("No valid URLs provided") + sys.exit(1) + + start_time = time.time() + try: + results = asyncio.run(process_urls(valid_urls, args.max_concurrent)) + + # Print results to stdout + for url, text in zip(valid_urls, results): + print(f"\n=== Content from {url} ===") + print(text) + print("=" * 80) + + logger.info(f"Total processing time: {time.time() - start_time:.2f}s") + + except Exception as e: + logger.error(f"Error during execution: {str(e)}") + sys.exit(1) + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/src/rulebook_ai/packs/medium-spec/README.md b/src/rulebook_ai/packs/medium-spec/README.md new file mode 100644 index 0000000..34972df --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/README.md @@ -0,0 +1,179 @@ +# Medium-Spec Pack + +Medium-Spec is a balanced ruleset in the Rulebook-AI collection. It trims some of the Heavy-Spec verbosity while retaining clear structure and validation points. Use it for general-purpose projects that still benefit from explicit guardrails. + +## When to Choose Medium-Spec + +- General-purpose use for moderately complex projects. +- Teams comfortable with AI but still wanting clear structure and validation checkpoints. +- A good balance between reducing verbosity and maintaining explicit guidance. +- When the `heavy-spec` feels too cumbersome, but the `light-spec` seems too loose. + +If you need more structure or checks, consider the `heavy-spec` pack. If you want minimal overhead, try `light-spec`. + +## Pack Structure + +- `rules/`: core instruction files such as `00-meta-rules.md`, `06-rules_v1.md`, and workflow guides for planning, coding, and debugging. +- `memory_starters/`: starter documents that seed the persistent project memory bank. +- `tool_starters/`: helper scripts or configurations copied into your project. + +## Installation & Usage + +```bash +# Add this built-in pack to your project's library +uvx rulebook-ai packs add medium-spec --project-dir /path/to/your/project + +# Apply the pack and generate assistant-specific rule files +uvx rulebook-ai project sync --assistant cursor --project-dir /path/to/your/project +``` + +Add `memory/`, `tools/`, `env.example`, and `requirements.txt` to version control. Framework state in `.rulebook-ai/` and generated rule directories (e.g., `.cursor/`, `.clinerules/`, `.roo/`) should go in `.gitignore`. + +## Key Concepts & Prompting Tips + +- **`.rulebook-ai/`** – internal framework state. After `project sync`, local copies of pack rules live in `.rulebook-ai/packs/` and are regenerated as needed. +- **`memory/`** – persistent, user-owned documents (PRD, architecture, technical specs, task plans) that the AI can read and update. +- **File references** – point your assistant at files using its reference syntax (e.g., `@memory/docs/product_requirement_docs.md`). + +### Prompt Patterns + +- **Planning** – ask the AI to update tasks or docs. + _Example:_ "Add a 'Refactor Auth' task to @memory/tasks/tasks_plan.md with a short description." +- **Context lookup** – query the AI about project decisions or status. + _Example:_ "What database did we choose in @memory/docs/architecture.md?" +- **Implementation guidance** – request code while referencing rules and memory. + _Example:_ "Follow @.rulebook-ai/packs/medium-spec/rules/03-rules-code/01-code_v1.md to build the login flow described in @memory/tasks/active_context.md." + +## Plan/Implement/Debug: Systematic Workflow for Tasks + +The rule files cached in `.rulebook-ai/packs/medium-spec/rules/` define a structured workflow for approaching any development task, regardless of granularity. This workflow is based on standard software engineering best practices and promotes a systematic approach to problem-solving. + +## Five-Phased Workflow + +Medium-Spec encodes a five-phased approach to software development. The phases correspond to the planning, coding, and debugging rules in `rules/02-rules-architect`, `rules/03-rules-code`, and `rules/04-rules-debug`. + +**(i) Requirements and Clarifications:** + + it starts with making the requirements very clear and asking as much clarification as possible in the beginning. This is always the first task software development. Where all the requirements are made as precise and verbose as possible so as to save Time and effort later in redoing. Plus anticipate Major bottlenecks ahead of any work. + +**(ii) Exhaustive Searching and Optimal Plan:** + exhaustive searching and optimal plan: search all possible directions in which the problem can be solved. And find out the optimal solution, which can be also a amalgamation of many different approaches. And reason rigourously, why the chosen approach is optimal. + +**(iii) User Validation:** + + validate the developed optimal plan with the user clearly stating the assumptions and design decisions made, and the reasons for them. + +**(iv) Implementation:** + + implement proposed plan in an iterative way, taking one functionality at a time, testing it exhaustively with all the cases. And then building the next functionality. In this way to make the system, robust and incremental. + +**(v) Further Suggestions:** + + after implementation, suggesting possible optimisation to be done or possible, additional features for security or functionality to be added. + +So this five phased approach, is for a software life-cycle. But this can be applied for any grnuarlity, like entire project or a single functionality. For example, very clearly recording the requirement for the functionality and asking clarifying questions is as good for a single small functionality as for a program. So this five phased, solution strategy workflow is to be followed at every part of development. + +## Leveraging Your AI's Enhanced Brain: Example Interactions + +Once Rulebook-AI is set up with a chosen pack (cached under `.rulebook-ai/`) and the memory bank (in `memory/`), you can interact with your AI coding assistant much more effectively. Here are a few crucial examples of how to leverage this enhanced context and guidance. Remember to use your AI assistant's specific syntax for referencing files (e.g., `@filename` in Cursor or Copilot). + +1. **Maintain Project Structure & Planning:** + * **Goal:** Use the AI to help keep your project documentation and task lists up-to-date. + * **Example Prompt (in your AI chat):** + ``` + Based on section 3.2 of @memory/docs/product_requirement_docs.md, create three new tasks in @memory/tasks/tasks_plan.md for the upcoming 'User Profile Redesign' feature. For each task, include a brief description, assign it a unique ID, and estimate its priority (High/Medium/Low). + ``` + * **Why this is important:** This demonstrates the AI actively participating in project management by updating the "memory bank" itself. It ensures your planning documents stay synchronized with insights derived from foundational requirements, turning the AI into a proactive assistant beyond just code generation. +2. **Retrieve Context-Specific Information Instantly:** + * **Goal:** Quickly access key project details without manually searching through documents. + * **Example Prompt (in your AI chat):** + ``` + What is the current status of task 'API-003' as listed in @memory/tasks/tasks_plan.md? Also, remind me which database technology we decided on according to @memory/docs/architecture.md. + ``` + * **Why this is important:** This highlights the power of the "persistent memory bank." The AI acts as a knowledgeable team member, capable of quickly recalling specific project decisions, technical details, and task statuses, significantly improving your workflow efficiency. +3. **Implement Features with Deep Context & Guided Workflow:** + * **Goal:** Guide the AI to develop code by following defined procedures and referencing precise project context. + * **Example Prompt (in your AI chat):** + ``` + Using the workflow defined in @.rulebook-ai/packs/medium-spec/rules/03-rules-code/01-code_v1.md, please develop the `updateUserProfile` function. The detailed requirements for this function are specified under the 'User Profile Update' task in @memory/tasks/active_context.md. Ensure the implementation aligns with the API design guidelines found in @memory/docs/technical.md. + ``` + * **Why this is important:** This is the core development loop where Rulebook-AI shines. It shows the AI leveraging both the *procedural rules* (how to approach implementation, from `.rulebook-ai/packs/`) and the rich *contextual memory* (what to implement and its surrounding technical landscape, from `memory/`). This leads to more accurate, consistent, and context-aware code generation, reducing rework and improving quality. + +These examples illustrate how providing structured rules and a persistent memory bank allows for more sophisticated and productive interactions with your AI coding assistant. Experiment with referencing different files from your `.rulebook-ai/packs/` and `memory/` directories to best suit your workflow. + +## Memory: Persistent Project Documentation + +The `memory` files (located in `clinerules/memory` and `cursor/rules/memory.mdc`) establish a robust documentation system that serves as persistent memory for the project and the AI assistant. This system is inspired by standard software development documentation practices, including PRDs, architecture plans, technical specifications, and RFCs. So, keeping these software life-cycle documentation is as focus. We develop our memory bank to have these document in sync to provide the complete context for the project. We have few additional files for current context and task plan in tasks/. + +**Memory Files Structure:** + +The memory system is structured into Core Files (required) and Context Files (optional), forming a hierarchical knowledge base for the project. +```mermaid +flowchart TD + PRD[product_requirement_docs.md] --> TECH[technical.md] + PRD --> ARCH[docs/architecture.md] + + ARCH --> TASKS[tasks/tasks_plan.md] + TECH --> TASKS + PRD --> TASKS + + TASKS --> ACTIVE[tasks/active_context.md] + + ACTIVE --> ERROR[.cursor/rules/error-documentation.mdc] + ACTIVE --> LEARN[.cursor/rules/lessons-learned.mdc] + + subgraph LIT[docs/literature] + L1[Research 1] + L2[Research 2] + end + + subgraph RFC[tasks/rfc] + R1[RFC 1] + R2[RFC 2] + end + + TECH --o LIT + TASKS --o RFC + +``` + +**Core Files (Required):** + +1. **`product_requirement_docs.md` (docs/product_requirement_docs.md):** Product Requirement Document (PRD) or Standard Operating Procedure (SOP). + - Defines the project's purpose, problems it solves, core requirements, and goals. + - Serves as the foundational document and source of truth for project scope. + + Product Requirement Documents (PRDs) are foundational blueprints in software development, defining what a product should achieve and guiding teams to align on scope, features, and objectives . + +2. **`architecture.md` (docs/architecture.md):** System Architecture Document. + - Outlines the system's design, component relationships, and dependencies. + + Software architecture documentation is a blueprint that captures design decisions, component interactions, and non-functional requirements. + +3. **`technical.md` (docs/technical.md):** Technical Specifications Document. + - Details the development environment, technologies used, key technical decisions, design patterns, and technical constraints. + +4. **`tasks_plan.md` (tasks/tasks_plan.md):** Task Backlog and Project Progress Tracker. + - Provides an in-depth list of tasks, tracks project progress, current status, and known issues. + +5. **`active_context.md` (tasks/active_context.md):** Active Development Context. + - Captures the current focus of development, active decisions, recent changes, and next steps. + +6. **`error-documentation.mdc` (.cursor/rules/error-documentation.mdc):** Error Documentation. + - Documents reusable fixes for mistakes and corrections, serving as a knowledge base of known issues and resolutions. + +7. **`lessons-learned.mdc` (.cursor/rules/lessons-learned.mdc):** Lessons Learned Journal. + - A project-specific learning journal that captures patterns, preferences, and project intelligence for continuous improvement. + +**Context Files (Optional):** + +**NOTE**: I use LATEX, but you can use .md or any other format. +1. **`docs/literature/`:** Literature Survey and Research Directory. + - Contains research papers and literature surveys in LaTeX format (`docs/literature/*.tex`). + +2. **`tasks/rfc/`:** Request for Comments (RFC) Directory. + - Stores RFCs for individual tasks in LaTeX format (`tasks/rfc/*.tex`), providing detailed specifications and discussions for specific functionalities. + +**Additional Context:** + +Further files and folders can be added within `docs/` or `tasks/` to organize supplementary documentation such as integration specifications, testing strategies, and deployment procedures. diff --git a/src/rulebook_ai/packs/medium-spec/manifest.yaml b/src/rulebook_ai/packs/medium-spec/manifest.yaml new file mode 100644 index 0000000..9779856 --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/manifest.yaml @@ -0,0 +1,3 @@ +name: medium-spec +version: 0.1.0 +summary: A simplified version of the ruleset, balancing detail and principle-based guidance. diff --git a/src/rulebook_ai/packs/medium-spec/memory_starters/docs/architecture_template.md b/src/rulebook_ai/packs/medium-spec/memory_starters/docs/architecture_template.md new file mode 100644 index 0000000..e69e554 --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/memory_starters/docs/architecture_template.md @@ -0,0 +1,76 @@ +# Architecture Document Template + +## 1. Introduction +* **Project Name:** \[Project Name] +* **Document Version:** \[Version Number] +* **Date:** \[Date] +* **Author(s):** \[Author(s)] +* **Purpose:** Briefly describe the purpose of this document and the project. + +## 2. Goals +* **Architectural Goals:** What are the main architectural goals of this project? (e.g., scalability, performance, security, maintainability) +* **Business Goals:** What business goals does the architecture support? + +## 3. System Overview +* **System Context Diagram:** (Diagram) Show the system in its environment, including external systems and users. +* **Component Diagram:** (Diagram) Show the major components of the system and their relationships. +* **Deployment Diagram:** (Diagram) Show how the system will be deployed. + +## 4. Components +### 4.1. \[Component Name] +* **Description:** Describe the purpose and functionality of this component. +* **Responsibilities:** What are the responsibilities of this component? +* **Interfaces:** What interfaces does this component expose? +* **Dependencies:** What other components does this component depend on? +* **Implementation Details:** Briefly describe the implementation details of this component. + +### 4.2. \[Component Name] +* **(Repeat for each component)** + +## 5. Data Architecture +* **Data Model:** Describe the data model used by the system. +* **Data Storage:** Describe how data will be stored (e.g., database, file system). +* **Data Flow:** Describe how data flows through the system. + +## 6. Security +* **Security Requirements:** List the security requirements for the system. +* **Security Measures:** Describe the security measures that will be implemented to protect the system. + +## 7. Scalability +* **Scalability Requirements:** List the scalability requirements for the system. +* **Scalability Strategy:** Describe how the system will be scaled to meet the requirements. + +## 8. Performance +* **Performance Requirements:** List the performance requirements for the system. +* **Performance Optimization:** Describe how the system will be optimized for performance. + +## 9. Technology Stack +* List the technologies used in the system (e.g., programming languages, frameworks, libraries, databases). + +## 10. Deployment +* Describe how the system will be deployed. +* Include details about the deployment environment, deployment process, and deployment tools. + +## 11. Monitoring +* Describe how the system will be monitored. +* Include details about the monitoring tools and metrics. + +## 12. Open Issues +* List any open issues or questions that need to be resolved. + +## 13. Future Considerations +* List any potential future enhancements or features that are not included in the current scope but may be considered for future releases. + +## 14. Glossary +* Define any technical terms or acronyms used in this document. + +--- + +**Example Prompts for Filling Out This Template:** + +* "What are the main architectural goals of this project? What are the key priorities?" +* "What are the major components of the system? How do they interact with each other?" +* "What is the data model used by the system? How is data stored and accessed?" +* "What are the security requirements for the system? How will security be ensured?" +* "How will the system be scaled to meet future demands? What is the scalability strategy?" +* "What technologies will be used in this project? Why were these technologies chosen?" diff --git a/src/rulebook_ai/packs/medium-spec/memory_starters/docs/product_requirement_docs_template.md b/src/rulebook_ai/packs/medium-spec/memory_starters/docs/product_requirement_docs_template.md new file mode 100644 index 0000000..cb31278 --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/memory_starters/docs/product_requirement_docs_template.md @@ -0,0 +1,66 @@ +# Product Requirement Document (PRD) Template + +## 1. Introduction +* **Project Name:** \[Project Name] +* **Document Version:** \[Version Number] +* **Date:** \[Date] +* **Author(s):** \[Author(s)] +* **Purpose:** Briefly describe the purpose of this document and the project. + +## 2. Goals +* **Business Goals:** What business goals does this project support? (e.g., increase revenue, improve customer satisfaction, reduce costs) +* **User Goals:** What goals will this project help users achieve? (e.g., easily manage their accounts, quickly find information, collaborate effectively) + +## 3. Background and Rationale +* **Problem:** What problem does this project solve? Why is this project necessary? +* **Market Analysis:** (If applicable) Briefly describe the market and target audience. +* **Competitive Analysis:** (If applicable) Briefly describe the competitive landscape and how this project will differentiate itself. + +## 4. Scope +* **In Scope:** List the features and functionalities that are included in this project. +* **Out of Scope:** List the features and functionalities that are explicitly excluded from this project. + +## 5. Target Audience +* **Target Users:** Describe the target users for this project. Include demographics, user personas, and any relevant user characteristics. + +## 6. Requirements +### 6.1. Functional Requirements +* List the specific functionalities that the system must provide. + * Example: "The system must allow users to create an account with a unique username and password." + * Example: "The system must allow administrators to manage user accounts." + +### 6.2. Non-Functional Requirements +* List the non-functional requirements, such as performance, security, scalability, usability, and reliability. + * Example: "The system must be able to handle 10,000 concurrent users." + * Example: "The system must be secure and protect user data." + * Example: "The system must be easy to use and intuitive." + +## 7. Release Criteria +* **Definition of Done:** What criteria must be met for this project to be considered complete? +* **Acceptance Testing:** How will the project be tested to ensure that it meets the requirements? + +## 8. Success Metrics +* How will the success of this project be measured? (e.g., increased user engagement, improved customer satisfaction, reduced support costs) + +## 9. Risks and Challenges +* List any potential risks and challenges that may impact the project. +* Include mitigation strategies for each risk. + +## 10. Open Issues +* List any open issues or questions that need to be resolved. + +## 11. Future Considerations +* List any potential future enhancements or features that are not included in the current scope but may be considered for future releases. + +## 12. Glossary +* Define any technical terms or acronyms used in this document. + +--- + +**Example Prompts for Filling Out This Template:** + +* "What is the primary purpose of this project? What problem does it solve?" +* "Who is the target audience for this project? Describe their needs and goals." +* "What are the key functional requirements for this project? What features must be included?" +* "What are the non-functional requirements for this project? How will performance, security, and usability be ensured?" +* "What are the potential risks and challenges associated with this project? How can these risks be mitigated?" diff --git a/src/rulebook_ai/packs/medium-spec/memory_starters/docs/technical_template.md b/src/rulebook_ai/packs/medium-spec/memory_starters/docs/technical_template.md new file mode 100644 index 0000000..44fe19a --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/memory_starters/docs/technical_template.md @@ -0,0 +1,75 @@ +# Technical Specifications Document Template + +## 1. Introduction +* **Project Name:** \[Project Name] +* **Document Version:** \[Version Number] +* **Date:** \[Date] +* **Author(s):** \[Author(s)] +* **Purpose:** Briefly describe the purpose of this document and the project. + +## 2. Goals +* **Technical Goals:** What are the main technical goals of this project? (e.g., performance, scalability, security, maintainability) +* **Business Goals:** What business goals do the technical specifications support? + +## 3. Development Environment +* **Operating Systems:** List the supported operating systems. +* **Programming Languages:** List the programming languages used in the project. +* **Frameworks:** List the frameworks used in the project. +* **Libraries:** List the key libraries used in the project. +* **Development Tools:** List the development tools used in the project (e.g., IDEs, debuggers, build tools). + +## 4. Technologies Used +* **Technology Stack:** Describe the technology stack used in the project. +* **Technology Selection Rationale:** Explain why these technologies were chosen. + +## 5. Key Technical Decisions +* List the key technical decisions made during the project. +* Explain the rationale behind each decision. + +## 6. Design Patterns +* List the design patterns used in the project. +* Explain how these patterns are used and why they were chosen. + +## 7. Technical Constraints +* List any technical constraints that may impact the project. +* Explain how these constraints will be addressed. + +## 8. API Specifications +* (If applicable) Describe the API specifications for the project. +* Include details about the API endpoints, request/response formats, and authentication methods. + +## 9. Data Storage +* Describe how data will be stored. +* Include details about the database schema, data types, and data access methods. + +## 10. Security Considerations +* List the security considerations for the project. +* Describe the security measures that will be implemented to protect the system. + +## 11. Performance Considerations +* List the performance considerations for the project. +* Describe how the system will be optimized for performance. + +## 12. Scalability Considerations +* List the scalability considerations for the project. +* Describe how the system will be scaled to meet future demands. + +## 13. Open Issues +* List any open issues or questions that need to be resolved. + +## 14. Future Considerations +* List any potential future enhancements or features that are not included in the current scope but may be considered for future releases. + +## 15. Glossary +* Define any technical terms or acronyms used in this document. + +--- + +**Example Prompts for Filling Out This Template:** + +* "What are the main technical goals of this project? What are the key priorities?" +* "What technologies will be used in this project? Why were these technologies chosen?" +* "What are the key technical decisions that have been made so far? What was the rationale behind each decision?" +* "What design patterns will be used in this project? How will these patterns be implemented?" +* "What are the technical constraints that may impact this project? How will these constraints be addressed?" +* "How will data be stored and accessed in this project? What database schema will be used?" diff --git a/src/rulebook_ai/packs/medium-spec/memory_starters/tasks/active_context_template.md b/src/rulebook_ai/packs/medium-spec/memory_starters/tasks/active_context_template.md new file mode 100644 index 0000000..64f3f98 --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/memory_starters/tasks/active_context_template.md @@ -0,0 +1,22 @@ +# Active Development Context Template + +## Current Work Focus: +* \[Describe the current focus of development] + +## Active Decisions and Considerations: +* \[List any active decisions that are being made or considered] + +## Recent Changes: +* \[List any recent changes that have been made to the codebase] + +## Next Steps: +* \[List the next steps that need to be taken] + +--- + +**Example Prompts for Filling Out This Template:** + +* "What is the current focus of development? What are you working on right now?" +* "What decisions are you currently making or considering? What are the trade-offs?" +* "What changes have been made to the codebase recently? What was the impact of these changes?" +* "What are the next steps that need to be taken? What are the priorities?" diff --git a/src/rulebook_ai/packs/medium-spec/memory_starters/tasks/tasks_plan_template.md b/src/rulebook_ai/packs/medium-spec/memory_starters/tasks/tasks_plan_template.md new file mode 100644 index 0000000..b0b315e --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/memory_starters/tasks/tasks_plan_template.md @@ -0,0 +1,25 @@ +# Task Backlog and Project Progress Tracker Template + +## Backlog: + +### \[Task Category]: + - [ ] \[Task Description] + -- Context: \[Context for the task] + -- Importance: \[High, Medium, Low] + -- Dependencies: \[List any dependencies] + +## Current Status: +* \[Briefly describe the current status of the project] + +## Known Issues: +* \[List any known issues or challenges] + +--- + +**Example Prompts for Filling Out This Template:** + +* "What are the main tasks that need to be completed for this project?" +* "What is the current status of the project? What has been accomplished so far?" +* "What are the known issues or challenges that need to be addressed?" +* "What are the dependencies between the different tasks?" +* "What is the importance of each task? Which tasks should be prioritized?" diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/00-meta-rules.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/00-meta-rules.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/00-meta-rules.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/00-meta-rules.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/01-memory.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/01-memory.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/01-memory.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/01-memory.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/02-error-documentation.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/02-error-documentation.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/02-error-documentation.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/02-error-documentation.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/03-lessons-learned.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/03-lessons-learned.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/03-lessons-learned.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/03-lessons-learned.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/04-archiecture-understanding.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/04-archiecture-understanding.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/04-archiecture-understanding.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/04-archiecture-understanding.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/05-directory-structure.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/05-directory-structure.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/05-directory-structure.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/05-directory-structure.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/01-rules/06-rules_v1.md b/src/rulebook_ai/packs/medium-spec/rules/01-rules/06-rules_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/01-rules/06-rules_v1.md rename to src/rulebook_ai/packs/medium-spec/rules/01-rules/06-rules_v1.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/02-rules-architect/01-plan_v1.md b/src/rulebook_ai/packs/medium-spec/rules/02-rules-architect/01-plan_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/02-rules-architect/01-plan_v1.md rename to src/rulebook_ai/packs/medium-spec/rules/02-rules-architect/01-plan_v1.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/03-rules-code/01-code_v1.md b/src/rulebook_ai/packs/medium-spec/rules/03-rules-code/01-code_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/03-rules-code/01-code_v1.md rename to src/rulebook_ai/packs/medium-spec/rules/03-rules-code/01-code_v1.md diff --git a/src/rulebook_ai/rule_sets/medium-spec/04-rules-debug/01-debug_v1.md b/src/rulebook_ai/packs/medium-spec/rules/04-rules-debug/01-debug_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/medium-spec/04-rules-debug/01-debug_v1.md rename to src/rulebook_ai/packs/medium-spec/rules/04-rules-debug/01-debug_v1.md diff --git a/src/rulebook_ai/packs/medium-spec/tool_starters/llm_api.py b/src/rulebook_ai/packs/medium-spec/tool_starters/llm_api.py new file mode 100644 index 0000000..598f44d --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/tool_starters/llm_api.py @@ -0,0 +1,272 @@ +#!/usr/bin/env /workspace/tmp_windsurf/venv/bin/python3 + +import google.generativeai as genai +from openai import OpenAI, AzureOpenAI +from anthropic import Anthropic +import argparse +import os +from dotenv import load_dotenv +from pathlib import Path +import sys +import base64 +from typing import Optional, Union, List +import mimetypes + +def load_environment(): + """Load environment variables from .env files in order of precedence""" + # Order of precedence: + # 1. System environment variables (already loaded) + # 2. .env.local (user-specific overrides) + # 3. .env (project defaults) + # 4. .env.example (example configuration) + + env_files = ['.env.local', '.env', '.env.example'] + env_loaded = False + + print("Current working directory:", Path('.').absolute(), file=sys.stderr) + print("Looking for environment files:", env_files, file=sys.stderr) + + for env_file in env_files: + env_path = Path('.') / env_file + print(f"Checking {env_path.absolute()}", file=sys.stderr) + if env_path.exists(): + print(f"Found {env_file}, loading variables...", file=sys.stderr) + load_dotenv(dotenv_path=env_path) + env_loaded = True + print(f"Loaded environment variables from {env_file}", file=sys.stderr) + # Print loaded keys (but not values for security) + with open(env_path) as f: + keys = [line.split('=')[0].strip() for line in f if '=' in line and not line.startswith('#')] + print(f"Keys loaded from {env_file}: {keys}", file=sys.stderr) + + if not env_loaded: + print("Warning: No .env files found. Using system environment variables only.", file=sys.stderr) + print("Available system environment variables:", list(os.environ.keys()), file=sys.stderr) + +# Load environment variables at module import +load_environment() + +def encode_image_file(image_path: str) -> tuple[str, str]: + """ + Encode an image file to base64 and determine its MIME type. + + Args: + image_path (str): Path to the image file + + Returns: + tuple: (base64_encoded_string, mime_type) + """ + mime_type, _ = mimetypes.guess_type(image_path) + if not mime_type: + mime_type = 'image/png' # Default to PNG if type cannot be determined + + with open(image_path, "rb") as image_file: + encoded_string = base64.b64encode(image_file.read()).decode('utf-8') + + return encoded_string, mime_type + +def create_llm_client(provider="openai"): + if provider == "openai": + api_key = os.getenv('OPENAI_API_KEY') + if not api_key: + raise ValueError("OPENAI_API_KEY not found in environment variables") + return OpenAI( + api_key=api_key + ) + elif provider == "azure": + api_key = os.getenv('AZURE_OPENAI_API_KEY') + if not api_key: + raise ValueError("AZURE_OPENAI_API_KEY not found in environment variables") + return AzureOpenAI( + api_key=api_key, + api_version="2024-08-01-preview", + azure_endpoint="https://msopenai.openai.azure.com" + ) + elif provider == "deepseek": + api_key = os.getenv('DEEPSEEK_API_KEY') + if not api_key: + raise ValueError("DEEPSEEK_API_KEY not found in environment variables") + return OpenAI( + api_key=api_key, + base_url="https://api.deepseek.com/v1", + ) + elif provider == "siliconflow": + api_key = os.getenv('SILICONFLOW_API_KEY') + if not api_key: + raise ValueError("SILICONFLOW_API_KEY not found in environment variables") + return OpenAI( + api_key=api_key, + base_url="https://api.siliconflow.cn/v1" + ) + elif provider == "anthropic": + api_key = os.getenv('ANTHROPIC_API_KEY') + if not api_key: + raise ValueError("ANTHROPIC_API_KEY not found in environment variables") + return Anthropic( + api_key=api_key + ) + elif provider == "gemini": + api_key = os.getenv('GOOGLE_API_KEY') + if not api_key: + raise ValueError("GOOGLE_API_KEY not found in environment variables") + genai.configure(api_key=api_key) + return genai + elif provider == "local": + return OpenAI( + base_url="http://192.168.180.137:8006/v1", + api_key="not-needed" + ) + else: + raise ValueError(f"Unsupported provider: {provider}") + +def query_llm(prompt: str, client=None, model=None, provider="openai", image_path: Optional[str] = None) -> Optional[str]: + """ + Query an LLM with a prompt and optional image attachment. + + Args: + prompt (str): The text prompt to send + client: The LLM client instance + model (str, optional): The model to use + provider (str): The API provider to use + image_path (str, optional): Path to an image file to attach + + Returns: + Optional[str]: The LLM's response or None if there was an error + """ + if client is None: + client = create_llm_client(provider) + + try: + # Set default model + if model is None: + if provider == "openai": + model = "gpt-4o" + elif provider == "azure": + model = os.getenv('AZURE_OPENAI_MODEL_DEPLOYMENT', 'gpt-4o-ms') # Get from env with fallback + elif provider == "deepseek": + model = "deepseek-chat" + elif provider == "siliconflow": + model = "deepseek-ai/DeepSeek-R1" + elif provider == "anthropic": + model = "claude-3-7-sonnet-20250219" + elif provider == "gemini": + model = "gemini-2.0-flash-exp" + elif provider == "local": + model = "Qwen/Qwen2.5-32B-Instruct-AWQ" + + if provider in ["openai", "local", "deepseek", "azure", "siliconflow"]: + messages = [{"role": "user", "content": []}] + + # Add text content + messages[0]["content"].append({ + "type": "text", + "text": prompt + }) + + # Add image content if provided + if image_path: + if provider == "openai": + encoded_image, mime_type = encode_image_file(image_path) + messages[0]["content"] = [ + {"type": "text", "text": prompt}, + {"type": "image_url", "image_url": {"url": f"data:{mime_type};base64,{encoded_image}"}} + ] + + kwargs = { + "model": model, + "messages": messages, + "temperature": 0.7, + } + + # Add o1-specific parameters + if model == "o1": + kwargs["response_format"] = {"type": "text"} + kwargs["reasoning_effort"] = "low" + del kwargs["temperature"] + + response = client.chat.completions.create(**kwargs) + return response.choices[0].message.content + + elif provider == "anthropic": + messages = [{"role": "user", "content": []}] + + # Add text content + messages[0]["content"].append({ + "type": "text", + "text": prompt + }) + + # Add image content if provided + if image_path: + encoded_image, mime_type = encode_image_file(image_path) + messages[0]["content"].append({ + "type": "image", + "source": { + "type": "base64", + "media_type": mime_type, + "data": encoded_image + } + }) + + response = client.messages.create( + model=model, + max_tokens=1000, + messages=messages + ) + return response.content[0].text + + elif provider == "gemini": + model = client.GenerativeModel(model) + if image_path: + file = genai.upload_file(image_path, mime_type="image/png") + chat_session = model.start_chat( + history=[{ + "role": "user", + "parts": [file, prompt] + }] + ) + else: + chat_session = model.start_chat( + history=[{ + "role": "user", + "parts": [prompt] + }] + ) + response = chat_session.send_message(prompt) + return response.text + + except Exception as e: + print(f"Error querying LLM: {e}", file=sys.stderr) + return None + +def main(): + parser = argparse.ArgumentParser(description='Query an LLM with a prompt') + parser.add_argument('--prompt', type=str, help='The prompt to send to the LLM', required=True) + parser.add_argument('--provider', choices=['openai','anthropic','gemini','local','deepseek','azure','siliconflow'], default='openai', help='The API provider to use') + parser.add_argument('--model', type=str, help='The model to use (default depends on provider)') + parser.add_argument('--image', type=str, help='Path to an image file to attach to the prompt') + args = parser.parse_args() + + if not args.model: + if args.provider == 'openai': + args.model = "gpt-4o" + elif args.provider == "deepseek": + args.model = "deepseek-chat" + elif args.provider == "siliconflow": + args.model = "deepseek-ai/DeepSeek-R1" + elif args.provider == 'anthropic': + args.model = "claude-3-7-sonnet-20250219" + elif args.provider == 'gemini': + args.model = "gemini-2.0-flash-exp" + elif args.provider == 'azure': + args.model = os.getenv('AZURE_OPENAI_MODEL_DEPLOYMENT', 'gpt-4o-ms') # Get from env with fallback + + client = create_llm_client(args.provider) + response = query_llm(args.prompt, client, model=args.model, provider=args.provider, image_path=args.image) + if response: + print(response) + else: + print("Failed to get response from LLM") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/rulebook_ai/packs/medium-spec/tool_starters/requirements.txt b/src/rulebook_ai/packs/medium-spec/tool_starters/requirements.txt new file mode 100644 index 0000000..798848d --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/tool_starters/requirements.txt @@ -0,0 +1,22 @@ +# Web scraping +playwright>=1.41.0 +html5lib>=1.1 + +# Search engine +duckduckgo-search>=7.2.1 + +# LLM integration +openai>=1.59.8 # o1 support +anthropic>=0.42.0 +python-dotenv>=1.0.0 + +# Testing +unittest2>=1.1.0 +pytest>=8.0.0 +pytest-asyncio>=0.23.5 + +# Google Generative AI +google-generativeai + +# gRPC, for Google Generative AI preventing WARNING: All log messages before absl::InitializeLog() is called are written to STDERR +grpcio==1.71.0 \ No newline at end of file diff --git a/src/rulebook_ai/packs/medium-spec/tool_starters/screenshot_utils.py b/src/rulebook_ai/packs/medium-spec/tool_starters/screenshot_utils.py new file mode 100755 index 0000000..40d0098 --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/tool_starters/screenshot_utils.py @@ -0,0 +1,56 @@ +#!/usr/bin/env python3 + +import asyncio +from playwright.async_api import async_playwright +import os +import tempfile +from pathlib import Path + +async def take_screenshot(url: str, output_path: str = None, width: int = 1280, height: int = 720) -> str: + """ + Take a screenshot of a webpage using Playwright. + + Args: + url (str): The URL to take a screenshot of + output_path (str, optional): Path to save the screenshot. If None, saves to a temporary file. + width (int, optional): Viewport width. Defaults to 1280. + height (int, optional): Viewport height. Defaults to 720. + + Returns: + str: Path to the saved screenshot + """ + if output_path is None: + # Create a temporary file with .png extension + temp_file = tempfile.NamedTemporaryFile(suffix='.png', delete=False) + output_path = temp_file.name + temp_file.close() + + async with async_playwright() as p: + browser = await p.chromium.launch(headless=True) + page = await browser.new_page(viewport={'width': width, 'height': height}) + + try: + await page.goto(url, wait_until='networkidle') + await page.screenshot(path=output_path, full_page=True) + finally: + await browser.close() + + return output_path + +def take_screenshot_sync(url: str, output_path: str = None, width: int = 1280, height: int = 720) -> str: + """ + Synchronous wrapper for take_screenshot. + """ + return asyncio.run(take_screenshot(url, output_path, width, height)) + +if __name__ == "__main__": + import argparse + parser = argparse.ArgumentParser(description='Take a screenshot of a webpage') + parser.add_argument('url', help='URL to take screenshot of') + parser.add_argument('--output', '-o', help='Output path for screenshot') + parser.add_argument('--width', '-w', type=int, default=1280, help='Viewport width') + parser.add_argument('--height', '-H', type=int, default=720, help='Viewport height') + + args = parser.parse_args() + output_path = take_screenshot_sync(args.url, args.output, args.width, args.height) + print(f"Screenshot saved to: {output_path}") \ No newline at end of file diff --git a/src/rulebook_ai/packs/medium-spec/tool_starters/search_engine.py b/src/rulebook_ai/packs/medium-spec/tool_starters/search_engine.py new file mode 100755 index 0000000..120544e --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/tool_starters/search_engine.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python3 + +import argparse +import sys +import time +from duckduckgo_search import DDGS + +def search_with_retry(query, max_results=10, max_retries=3): + """ + Search using DuckDuckGo and return results with URLs and text snippets. + + Args: + query (str): Search query + max_results (int): Maximum number of results to return + max_retries (int): Maximum number of retry attempts + """ + for attempt in range(max_retries): + try: + print(f"DEBUG: Searching for query: {query} (attempt {attempt + 1}/{max_retries})", + file=sys.stderr) + + with DDGS() as ddgs: + results = list(ddgs.text(query, max_results=max_results)) + + if not results: + print("DEBUG: No results found", file=sys.stderr) + return [] + + print(f"DEBUG: Found {len(results)} results", file=sys.stderr) + return results + + except Exception as e: + print(f"ERROR: Attempt {attempt + 1}/{max_retries} failed: {str(e)}", file=sys.stderr) + if attempt < max_retries - 1: # If not the last attempt + print(f"DEBUG: Waiting 1 second before retry...", file=sys.stderr) + time.sleep(1) # Wait 1 second before retry + else: + print(f"ERROR: All {max_retries} attempts failed", file=sys.stderr) + raise + +def format_results(results): + """Format and print search results.""" + for i, r in enumerate(results, 1): + print(f"\n=== Result {i} ===") + print(f"URL: {r.get('href', 'N/A')}") + print(f"Title: {r.get('title', 'N/A')}") + print(f"Snippet: {r.get('body', 'N/A')}") + +def search(query, max_results=10, max_retries=3): + """ + Main search function that handles search with retry mechanism. + + Args: + query (str): Search query + max_results (int): Maximum number of results to return + max_retries (int): Maximum number of retry attempts + """ + try: + results = search_with_retry(query, max_results, max_retries) + if results: + format_results(results) + + except Exception as e: + print(f"ERROR: Search failed: {str(e)}", file=sys.stderr) + sys.exit(1) + +def main(): + parser = argparse.ArgumentParser(description="Search using DuckDuckGo API") + parser.add_argument("query", help="Search query") + parser.add_argument("--max-results", type=int, default=10, + help="Maximum number of results (default: 10)") + parser.add_argument("--max-retries", type=int, default=3, + help="Maximum number of retry attempts (default: 3)") + + args = parser.parse_args() + search(args.query, args.max_results, args.max_retries) + +if __name__ == "__main__": + main() diff --git a/src/rulebook_ai/packs/medium-spec/tool_starters/web_scraper.py b/src/rulebook_ai/packs/medium-spec/tool_starters/web_scraper.py new file mode 100755 index 0000000..80d7a73 --- /dev/null +++ b/src/rulebook_ai/packs/medium-spec/tool_starters/web_scraper.py @@ -0,0 +1,207 @@ +#!/usr/bin/env /workspace/tmp_windsurf/venv/bin/python3 + +import asyncio +import argparse +import sys +import os +from typing import List, Optional +from playwright.async_api import async_playwright +import html5lib +from multiprocessing import Pool +import time +from urllib.parse import urlparse +import logging + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s', + stream=sys.stderr +) +logger = logging.getLogger(__name__) + +async def fetch_page(url: str, context) -> Optional[str]: + """Asynchronously fetch a webpage's content.""" + page = await context.new_page() + try: + logger.info(f"Fetching {url}") + await page.goto(url) + await page.wait_for_load_state('networkidle') + content = await page.content() + logger.info(f"Successfully fetched {url}") + return content + except Exception as e: + logger.error(f"Error fetching {url}: {str(e)}") + return None + finally: + await page.close() + +def parse_html(html_content: Optional[str]) -> str: + """Parse HTML content and extract text with hyperlinks in markdown format.""" + if not html_content: + return "" + + try: + document = html5lib.parse(html_content) + result = [] + seen_texts = set() # To avoid duplicates + + def should_skip_element(elem) -> bool: + """Check if the element should be skipped.""" + # Skip script and style tags + if elem.tag in ['{http://www.w3.org/1999/xhtml}script', + '{http://www.w3.org/1999/xhtml}style']: + return True + # Skip empty elements or elements with only whitespace + if not any(text.strip() for text in elem.itertext()): + return True + return False + + def process_element(elem, depth=0): + """Process an element and its children recursively.""" + if should_skip_element(elem): + return + + # Handle text content + if hasattr(elem, 'text') and elem.text: + text = elem.text.strip() + if text and text not in seen_texts: + # Check if this is an anchor tag + if elem.tag == '{http://www.w3.org/1999/xhtml}a': + href = None + for attr, value in elem.items(): + if attr.endswith('href'): + href = value + break + if href and not href.startswith(('#', 'javascript:')): + # Format as markdown link + link_text = f"[{text}]({href})" + result.append(" " * depth + link_text) + seen_texts.add(text) + else: + result.append(" " * depth + text) + seen_texts.add(text) + + # Process children + for child in elem: + process_element(child, depth + 1) + + # Handle tail text + if hasattr(elem, 'tail') and elem.tail: + tail = elem.tail.strip() + if tail and tail not in seen_texts: + result.append(" " * depth + tail) + seen_texts.add(tail) + + # Start processing from the body tag + body = document.find('.//{http://www.w3.org/1999/xhtml}body') + if body is not None: + process_element(body) + else: + # Fallback to processing the entire document + process_element(document) + + # Filter out common unwanted patterns + filtered_result = [] + for line in result: + # Skip lines that are likely to be noise + if any(pattern in line.lower() for pattern in [ + 'var ', + 'function()', + '.js', + '.css', + 'google-analytics', + 'disqus', + '{', + '}' + ]): + continue + filtered_result.append(line) + + return '\n'.join(filtered_result) + except Exception as e: + logger.error(f"Error parsing HTML: {str(e)}") + return "" + +async def process_urls(urls: List[str], max_concurrent: int = 5) -> List[str]: + """Process multiple URLs concurrently.""" + async with async_playwright() as p: + browser = await p.chromium.launch() + try: + # Create browser contexts + n_contexts = min(len(urls), max_concurrent) + contexts = [await browser.new_context() for _ in range(n_contexts)] + + # Create tasks for each URL + tasks = [] + for i, url in enumerate(urls): + context = contexts[i % len(contexts)] + task = fetch_page(url, context) + tasks.append(task) + + # Gather results + html_contents = await asyncio.gather(*tasks) + + # Parse HTML contents in parallel + with Pool() as pool: + results = pool.map(parse_html, html_contents) + + return results + + finally: + # Cleanup + for context in contexts: + await context.close() + await browser.close() + +def validate_url(url: str) -> bool: + """Validate if the given string is a valid URL.""" + try: + result = urlparse(url) + return all([result.scheme, result.netloc]) + except: + return False + +def main(): + parser = argparse.ArgumentParser(description='Fetch and extract text content from webpages.') + parser.add_argument('urls', nargs='+', help='URLs to process') + parser.add_argument('--max-concurrent', type=int, default=5, + help='Maximum number of concurrent browser instances (default: 5)') + parser.add_argument('--debug', action='store_true', + help='Enable debug logging') + + args = parser.parse_args() + + if args.debug: + logger.setLevel(logging.DEBUG) + + # Validate URLs + valid_urls = [] + for url in args.urls: + if validate_url(url): + valid_urls.append(url) + else: + logger.error(f"Invalid URL: {url}") + + if not valid_urls: + logger.error("No valid URLs provided") + sys.exit(1) + + start_time = time.time() + try: + results = asyncio.run(process_urls(valid_urls, args.max_concurrent)) + + # Print results to stdout + for url, text in zip(valid_urls, results): + print(f"\n=== Content from {url} ===") + print(text) + print("=" * 80) + + logger.info(f"Total processing time: {time.time() - start_time:.2f}s") + + except Exception as e: + logger.error(f"Error during execution: {str(e)}") + sys.exit(1) + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/src/rulebook_ai/packs/no_memory_interation_rules/README.md b/src/rulebook_ai/packs/no_memory_interation_rules/README.md new file mode 100644 index 0000000..656e888 --- /dev/null +++ b/src/rulebook_ai/packs/no_memory_interation_rules/README.md @@ -0,0 +1,3 @@ +# No Memory Interaction Rules Pack + +This pack contains a set of rules that operate without interacting with the Memory Bank. This is useful for tasks where external context from memory is not required. diff --git a/src/rulebook_ai/packs/no_memory_interation_rules/manifest.yaml b/src/rulebook_ai/packs/no_memory_interation_rules/manifest.yaml new file mode 100644 index 0000000..f046a4e --- /dev/null +++ b/src/rulebook_ai/packs/no_memory_interation_rules/manifest.yaml @@ -0,0 +1,3 @@ +name: no-memory-interaction-rules +version: 0.1.0 +summary: A ruleset that does not interact with the Memory Bank. diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/00-meta-rules.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/00-meta-rules.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/00-meta-rules.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/00-meta-rules.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/01-memory.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/01-memory.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/01-memory.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/01-memory.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/02-error-documentation.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/02-error-documentation.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/02-error-documentation.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/02-error-documentation.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/03-lessons-learned.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/03-lessons-learned.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/03-lessons-learned.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/03-lessons-learned.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/04-archiecture-understanding.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/04-archiecture-understanding.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/04-archiecture-understanding.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/04-archiecture-understanding.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/05-directory-structure.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/05-directory-structure.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/05-directory-structure.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/05-directory-structure.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/06-rules_v1.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/06-rules_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/01-rules/06-rules_v1.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/01-rules/06-rules_v1.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/02-rules-architect/01-plan_v1.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/02-rules-architect/01-plan_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/02-rules-architect/01-plan_v1.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/02-rules-architect/01-plan_v1.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/03-rules-code/01-code_v1.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/03-rules-code/01-code_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/03-rules-code/01-code_v1.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/03-rules-code/01-code_v1.md diff --git a/src/rulebook_ai/rule_sets/no_memory_interation_rules/04-rules-debug/01-debug_v1.md b/src/rulebook_ai/packs/no_memory_interation_rules/rules/04-rules-debug/01-debug_v1.md similarity index 100% rename from src/rulebook_ai/rule_sets/no_memory_interation_rules/04-rules-debug/01-debug_v1.md rename to src/rulebook_ai/packs/no_memory_interation_rules/rules/04-rules-debug/01-debug_v1.md diff --git a/src/rulebook_ai/packs/pack-authoring-guide/README.md b/src/rulebook_ai/packs/pack-authoring-guide/README.md new file mode 100644 index 0000000..dba0e0f --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/README.md @@ -0,0 +1,19 @@ +# Pack Authoring Guide + +This built-in pack assists contributors in converting existing rules or documentation into a Rulebook-AI pack that conforms to the [pack_structure_spec.md](../../../../memory/docs/features/manage_rules/pack_structure_spec.md) and maps to assistant-specific outputs described in [platform_rules_spec.md](../../../../memory/docs/features/manage_rules/platform_rules_spec.md). + +It provides: + +- A step-by-step conversion guide. +- A validation checklist reminding you to run `rulebook-ai packs add ` before publishing. +- Copies of `pack_structure_spec.md`, `pack_developer_guide.md`, and `platform_rules_spec.md` for offline reference. + +## Usage + +1. Review the rules in `rules/01-rules/`. +2. Consult the docs inside `memory_starters/docs/`—`pack_structure_spec.md`, `pack_developer_guide.md`, and `platform_rules_spec.md`—when structuring your pack. +3. Use the script in `tool_starters/validate_pack.py` or the CLI command: + ``` + rulebook-ai packs add + ``` + to verify your pack before submitting to the community index. diff --git a/src/rulebook_ai/packs/pack-authoring-guide/manifest.yaml b/src/rulebook_ai/packs/pack-authoring-guide/manifest.yaml new file mode 100644 index 0000000..a8b8de0 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/manifest.yaml @@ -0,0 +1,3 @@ +name: pack-authoring-guide +version: 0.1.0 +summary: Helper for creating valid Rulebook-AI packs diff --git a/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/community_packs_spec.md b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/community_packs_spec.md new file mode 100644 index 0000000..a06f504 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/community_packs_spec.md @@ -0,0 +1,75 @@ +# Specification: Community Pack Ecosystem (MVP) + +## 1. Overview & Motivation + +The primary motivation for this feature is to evolve `rulebook-ai` from a standalone tool into a platform with a thriving, community-driven ecosystem. We want to empower users to easily share, discover, and use `Rule Packs` created by others, fostering a collaborative environment for AI-assisted development best practices. + +This document specifies the Minimum Viable Product (MVP) for this feature, designed to be simple, secure, and maintainable, while providing a solid foundation for future growth. It **extends** the core CLI behavior described in [`manage_rules/spec.md`](../manage_rules/spec.md); only community‑specific behavior is documented here. + +## 2. Design Principles + +The design of this feature is guided by the following core principles, which prioritize maintainer sustainability and user safety: + +1. **Sustainable Maintenance & Delegated Trust**: We acknowledge that the project maintainer cannot personally audit every community pack for security. Therefore, the system is designed to delegate the final trust decision to the end-user. The community index is a discovery tool, not a security endorsement. +2. **User Empowerment Through Transparency**: The CLI's primary role is to empower users to make informed decisions. It achieves this by performing an automated structural validation on packs and presenting clear, explicit warnings about installing third-party code. +3. **Contributor Convenience**: To foster a healthy ecosystem, the process for contributing a pack should be as low-friction as possible. This means pointing to a default branch instead of requiring contributors to manage immutable commit hashes. +4. **Simplicity & Predictability**: The user-facing commands should be simple, and their behavior (especially network access) must be predictable. The user should always be in control. + +## 3. Core Concepts + +1. **Community Pack**: A standard Rule Pack that conforms to the [pack_structure_spec.md](../manage_rules/pack_structure_spec.md) (see `pack_developer_guide.md` for examples), hosted in a public GitHub repository. + +2. **Public Index Repository**: A single, official, public Git repository that serves as a curated list of community packs. Its core is a `packs.json` file. + +3. **Local Index Cache**: A local copy of the `packs.json` file stored on the user's machine. For the MVP the cache lives inside the installed Python package at `rulebook_ai/community/index_cache/packs.json` so that all repositories share one updated index. This cache is **only** updated when the user explicitly runs the `packs update` command. +## 4. Index Data Model + +Each entry in `packs.json` describes a single community pack with the following fields: + +* `name` (string, required) – globally unique pack identifier. +* `username` (string, required) – GitHub account that hosts the repository. +* `repo` (string, required) – repository name. +* `path` (string, optional) – path within the repository to the pack root; defaults to `/`. +* `description` (string, required) – short human-readable summary. +* `commit` (string, optional) – specific commit or tag to check out. + +The trio `username`, `repo`, and optional `path` form a **slug** `username/repo[/path]` that uniquely identifies the source location. The slug is recorded in local metadata so the original source can always be traced. + +## 5. Installation Path & Collision Rules + +* Every installed community pack is copied to `.rulebook-ai/packs/` within the target repository. +* Pack `name` values must be globally unique and cannot match built‑in pack names. +* If `.rulebook-ai/packs/` already exists from a different source, the CLI aborts and no files are modified. +* Local metadata records the source slug to ensure traceability of each pack. + +## 6. CLI Integration + +The following notes supplement the `packs` subcommands defined in [`manage_rules/spec.md`](../manage_rules/spec.md) with community-specific behavior. + +* **`packs list`** – merges built‑in packs with entries from the Local Index Cache. Community packs appear with a `(community)` label. No network calls are made. +* **`packs add `** – resolves `` based on its specified format. Community packs can be added by name from the index (e.g., `my-community-pack`) or by direct repository reference using the `github:` prefix (e.g., `github:user/repo`). If no match is found, the CLI aborts with a clear "pack not found" error. After resolving the source, the CLI clones, **warns and requires explicit user confirmation** before installing, reflecting the *User Empowerment Through Transparency* principle in the Design section. The pack is then structurally verified against [pack_structure_spec.md](../manage_rules/pack_structure_spec.md); any validation failure aborts the install. If the pack's `manifest.yaml` `name` conflicts with an existing local pack, the command fails. +* **`packs update`** – new command that: + 1. Fetches the latest `packs.json` from the Public Index Repository. + 2. Validates the JSON structure and required fields. + 3. Replaces the Local Index Cache on success; otherwise the existing cache is kept and an error is reported. + This is the only `packs` subcommand that performs network access. + +## 7. Contribution Workflow + +Before a pack can be added to the public index, it must meet several quality standards. These requirements are checked during the maintainer review. + +**Pack Requirements:** +* **Public GitHub Repository**: The pack must be hosted in a public GitHub repository. +* **Valid Structure**: It must adhere to the [pack_structure_spec.md](../manage_rules/pack_structure_spec.md); `pack_developer_guide.md` offers examples but is not the source of truth. +* **High-Quality `README.md`**: The pack's own root `README.md` must clearly explain its purpose, philosophy, and usage. +* **Stability**: The pack should be reasonably stable. Highly experimental packs may not be accepted. + +The process for adding a new pack to the public index is as follows: + +1. **Developer Creates Pack**: A developer creates a high-quality pack in their own public GitHub repository, ensuring it follows the [pack_structure_spec.md](../manage_rules/pack_structure_spec.md). +2. **Submit Pull Request**: The developer submits a Pull Request to the `Index Repository`, adding their pack's metadata to the `packs.json` file. + * Including a specific `commit` or `tag` is **highly recommended** for security and stability, as it ensures users install a specific, reviewed version of the pack. + * If omitted, the pack will be installed from the default branch, which is less secure. +3. **Automated Validation (CI)**: A `GitHub Action` automatically runs on the Pull Request. This CI job performs a sanity check by cloning the pack's repository and validating its structure against [pack_structure_spec.md](../manage_rules/pack_structure_spec.md). This validation **must** include a check to ensure the `name` in the pack's `manifest.yaml` matches the `name` being submitted to `packs.json`. The CI check must fail if they do not match. +4. **Maintainer Review**: After CI passes, a maintainer performs a quick review of the submission (e.g., checking for appropriateness, clear documentation) and merges the PR. +5. **Public Availability**: Once merged, the pack becomes available for discovery to all users after they run `rulebook-ai packs update`. diff --git a/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/contribution_workflow.md b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/contribution_workflow.md new file mode 100644 index 0000000..4cf5dd7 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/contribution_workflow.md @@ -0,0 +1,6 @@ +# Contribution Workflow + +1. Host your pack in a public GitHub repository. +2. Validate locally with `rulebook-ai packs add `. +3. Submit a pull request to the community index adding your pack metadata to `packs.json`. +4. Ensure CI passes the structural checks defined in the specification. diff --git a/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/pack_developer_guide.md b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/pack_developer_guide.md new file mode 100644 index 0000000..9bdfc73 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/pack_developer_guide.md @@ -0,0 +1,153 @@ +# The Easy Way to Get Started: Use the Authoring Guide Pack + +While this document contains the full technical specification for creating a pack, the easiest way to get started is to use `rulebook-ai` itself. + +We have created a special pack, `pack-authoring-guide`, that turns your AI assistant into an expert on the **pack structure and publishing process**. It loads the AI's context with all the specifications, checklists, and validation tools needed to guide you. + +**This pack's specialty is helping you convert your existing rules, context, and tools into a valid, shareable pack.** It is not designed to be an expert on prompt engineering or tool design itself. + +**We strongly recommend this approach for all new contributors.** + +### Quick Start for Pack Authoring + +1. **Add the guide pack to any project:** + ```bash + rulebook-ai packs add pack-authoring-guide + ``` + +2. **Sync it to your workspace:** + ```bash + rulebook-ai project sync --pack pack-authoring-guide + ``` + +3. **Start converting with your AI:** + You can now ask your AI for help packaging your existing materials. For example: + > *"Hey AI, I have a folder of markdown files with my rules and some Python scripts I use as tools. Using the `pack-authoring-guide` context, help me convert them into a valid `rulebook-ai` pack. Where should I start?"* + +This interactive workflow is much smoother and less error-prone than reading the specification manually. + +--- +
+ +# Rulebook-AI Pack Developer Guide + +A Rulebook-AI Pack is a self-contained directory that bundles rules, starter files, and metadata. The purpose of this guide is to provide a specification so clear that a developer or an AI assistant can read it and correctly structure a rule pack that is universally compatible with `rulebook-ai`. + +For the canonical requirements on folder layout and naming, consult `../manage_rules/pack_structure_spec.md`. This guide distills that specification into practical advice and examples. + +### Pack Structure + +A valid pack must adhere to the following structure. This example shows a comprehensive layout that correctly targets all supported assistant types. + +``` +my-awesome-pack/ +├── manifest.yaml # (Required) Metadata for the pack. +├── README.md # (Required) Description, usage, and philosophy of the pack. +├── rules/ # (Required) The "universal source" for AI assistant rules. +│ ├── 01-rules/ # Maps to the default 'rules' folder for mode-based assistants. +│ │ ├── 00-meta.md +│ │ └── 01-principles.md +│ ├── 02-rules-architect/ # Maps to the 'rules-architect' folder. +│ │ └── 01-planning.md +│ └── 03-rules-code/ # Maps to the 'rules-code' folder. +│ └── 01-coding.md +├── memory_starters/ # (Optional) Starter files for the user's `memory/` directory. +│ └── docs/ +│ └── new-feature-template.md +└── tool_starters/ # (Optional) Starter scripts for the user's `tools/` directory. + └── my-custom-script.py +``` + +The root of a pack may contain **only** the items shown above: `manifest.yaml`, `README.md`, `rules/`, and the optional `memory_starters/` and `tool_starters/`. **No other files or directories are permitted at the root.** Any extra files or directories (such as for tests, examples, or documentation) are a direct violation of the pack structure and **will cause validation to fail**. Such content must be placed inside one of the standard directories, for example `memory_starters/docs/`. + +### `manifest.yaml` (Required) + +This file contains essential metadata for the pack. + +**Required Fields:** +* `name` (string): A globally unique, machine-friendly slug for the pack (e.g., `My-Awesome-Pack`). Letters, digits, and dashes are allowed (`^[A-Za-z0-9-]+). +* `version` (string): The version of the pack, preferably using Semantic Versioning (e.g., `1.0.0`). +* `summary` (string): A brief, one-sentence description of the pack's purpose. + +The `name` field becomes the installation directory inside `.rulebook-ai/packs/`. To avoid conflicts, choose a name that is not used by built-in packs or other community packs. The CLI aborts installation if an existing pack with the same `name` comes from a different source. + +### Directory Specifications + +* **`rules/` (Required)** + This is the most important directory. Its structure is designed to be a "universal source" that can generate rules for all supported AI assistants. The `sync` command uses a single, consistent logic to process this directory. + + **Key requirements (see `../manage_rules/pack_structure_spec.md`):** + - At least one numbered rules directory is required. If a generic directory is used, it **must** be named `01-rules` so general rules load first. + - Each child directory name must follow `NN-rules` or `NN-rules-{mode}` and contain at least one rule file named `NN-.md`. + - Numeric prefixes are mandatory, zero-padded, and **must be unique** within each directory to enforce deterministic ordering. + - Rule files must be UTF-8 encoded Markdown using the `.md` extension. Directory and file names may not start with `.`. + - Mode names after `rules-` must match supported values (see `../manage_rules/platform_rules_spec.md`). + + **Flexibility:** You are not required to provide all types of subdirectories. A pack can contain only general rules (e.g., a `01-rules` folder), only mode-specific rules (e.g., `02-rules-code`), or a combination of both. The `sync` command will simply process the directories that it finds, giving you full control over which assistant types your pack is optimized for. + + **How the `sync` Command Interprets This Structure:** + + 1. **For Mode-Based Assistants (e.g., Roo Code, Kilo Code):** + * The `sync` command iterates through each subdirectory within the source pack's `rules/` folder (e.g., `01-rules`, `02-rules-architect`). + * For each subdirectory, it strips the numeric prefix (e.g., `01-`) to get the target directory name (e.g., `rules` or `rules-architect`). + * It then copies the contents of the source subdirectory into the corresponding target directory for the assistant (e.g., from `01-rules/` to `.roo/rules/`, and from `02-rules-architect/` to `.roo/rules-architect/`). + + 2. **For Multi-File, Non-Mode Assistants (e.g., Cline, Cursor):** + * The command performs a deep, recursive search to find all rule files within `rules/` and sorts them alphabetically by their full path. This is why numeric prefixes on folders and files are essential. + * It then copies the files to the single target directory (e.g., `.cursor/rules/`), renaming each file with a simple, incrementing numeric prefix (`01-`, `02-`, `03-`, etc.) to enforce the final loading order required by the assistant. + + 3. **For Single-File Assistants (e.g., GitHub Copilot, Warp):** + * It follows the same file discovery and sorting process as for multi-file assistants. + * Instead of copying, it concatenates the content of all files, in the correct sorted order, into a single output file (e.g., `copilot-instructions.md`). + + ### Authoring Considerations: Cross-Assistant Compatibility + The "universal source" structure is powerful, but it's crucial to understand how your rules will be applied across different types of assistants. + + A key takeaway is that **all rules within the `rules/` directory are applied to non-mode assistants**, regardless of which subdirectory they are in. + + **Consider this scenario:** + * You have a general rule in `01-rules/01-principles.md`. + * You have a mode-specific rule in `02-rules-code/01-coding-workflow.md`. + + Here is how they will be treated: + + * **For Roo Code (Mode-Based):** + * `01-principles.md` will be applied as a general rule. + * `01-coding-workflow.md` will be applied *only* when the "code" mode is active. + + * **For Cursor (Multi-File, Non-Mode):** + * Both `01-principles.md` and `01-coding-workflow.md` will be copied into the `.cursor/rules/` directory and will be active at all times. + + * **For Gemini (Single-File):** + * The content of both `01-principles.md` and `01-coding-workflow.md` will be concatenated into `GEMINI.md` and will be active at all times. + + **Guidance for Pack Authors:** + + * If you are creating a rule that should *only* apply to a specific mode in an assistant like Roo Code, be aware that it will still be included in the general context for other assistants like Cursor or Gemini. + * Design your rules to be as general as possible. If a rule must be strictly limited to a mode, you might need to use phrasing within the rule itself, such as: *"If you are operating in 'code' mode, follow these specific instructions..."* This ensures the rule is safely ignored by assistants that don't have modes. + * When converting an existing ruleset, decide which assistants you intend to support. If you only target mode-based assistants, this is less of a concern. If you want universal compatibility, you must review all rules to ensure they don't cause conflicts when flattened into a single context. + + **Best Practices for Pack Authors:** + * **Use Numeric Prefixes:** Per the spec, directories and files under `rules/` **must** start with a zero‑padded `NN-` prefix to guarantee deterministic ordering. Leaving gaps (e.g., `10-`, `20-`) makes later inserts easier. + * **Name Directories for Mapping:** The name of a subdirectory after its prefix (e.g., `rules`, `rules-code`) directly determines the target folder for mode-based assistants. Ensure these match the target assistant's requirements. + +* **`memory_starters/` & `tool_starters/` (Optional)** + * These directories contain starter files. When a user runs `project sync`, their contents are copied into the user's project `memory/` and `tools/` directories, respectively. The CLI will **never overwrite** a file that already exists in the user's project. + +### Local Validation + +Before publishing, run the `packs add` command with the `local:` prefix: + +``` +rulebook-ai packs add local: +``` + +For example: `rulebook-ai packs add local:./my-awesome-pack`. This command installs the pack locally and verifies its structure. You can remove it later with `rulebook-ai packs remove ` if needed. + +### Publishing Your Pack + +Once your pack is complete and validated locally, you can share it with the community. The process involves adding your pack to the public community index. + +The full contribution workflow is detailed in the [**Community Pack Ecosystem Specification**](spec.md). To contribute, please submit a Pull Request to the Index Repository located at: + +`https://github.com/botingw/community-index` diff --git a/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/pack_structure_spec.md b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/pack_structure_spec.md new file mode 100644 index 0000000..e52e7a7 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/pack_structure_spec.md @@ -0,0 +1,57 @@ +# Specification: Pack Structure + +**1. Purpose** + +Defines the required directory layout and naming rules for Rulebook-AI packs. Mapping from these source files to assistant-specific outputs is described in `platform_rules_spec.md`. For step-by-step examples, consult `../community_packs/pack_developer_guide.md`, but this specification remains the source of truth. Community contributions described in `../community_packs/spec.md` must follow this spec to avoid failures during `packs add`, `packs sync`, or `project sync`. + +**2. Design Goals** + +- Provide a universal, verifiable source of project-level rules across all supported assistants. +- Use zero-padded numeric prefixes to guarantee deterministic ordering regardless of filesystem or assistant behavior. +- Keep the structure minimal yet extensible so tooling can automate validation and future features while enabling future assistant mappings. + +A pack is considered well-designed when it can be processed by `packs add`, `packs sync`, and `project sync` without errors, presents a clear deterministic rule sequence, and remains readable for both humans and tooling. + +**3. Required Root Contents** + +A valid pack **must** contain: + +- `manifest.yaml` – metadata for the pack. +- `README.md` – human‑readable description. +- `rules/` – universal source directory for rule files. + +Optional: `memory_starters/` and `tool_starters/` for starter files. +No other files or directories are permitted at the root unless explicitly allowed by future revisions of this spec. + +**4. `manifest.yaml` Requirements** + +`manifest.yaml` must include the following fields: + +- `name` (string) – globally unique pack identifier. The value **must** be a slug consisting only of letters, digits, and dashes: `^[A-Za-z0-9-]+$`. +- `version` (string) – preferably Semantic Versioning. +- `summary` (string) – one‑sentence description. + +Packs lacking these fields are invalid and rejected by the CLI. + +**5. Rules Directory Specification** + +The `rules/` directory drives rule generation for all assistants and **may only contain directories** named with numeric prefixes: + + - At least one numbered rules directory must be present. If a generic directory without `{mode}` is used, it MUST be named `01-rules` so general rules load before mode-specific ones. + - Each direct child of `rules/` **must** be a directory named `NN-rules` or `NN-rules-{mode}`, where `NN` is a zero‑padded number (at least two digits). + - When `{mode}` is present, it must match a supported mode for the target assistant (see `platform_rules_spec.md`). For assistants like Roo Code and Kilo Code, use directories such as `01-rules`, `02-rules-code`, and `03-rules-debug`. + - Files are not allowed directly under `rules/`; each rules directory must contain at least one rule file, and each file must also use a zero‑padded prefix: `NN-.md` (e.g., `05-directory-structure.md`). + - Numeric prefixes for directories and files **must be unique** within their respective parent directories. + - Tooling sorts rule files lexicographically; prefixes guarantee deterministic order for assistants that flatten or concatenate files. Missing or duplicate prefixes are treated as errors by CLI validation. + +**6. Encoding and Visibility** + +- All rule files must be UTF‑8 encoded text. +- Directory and file names must not begin with `.`; hidden files are ignored by `project sync`. +- Rule files **must** use the `.md` extension and contain at least one rule per file. + +**7. CLI Behavior** + +- `packs add` and `packs sync` validate the presence of required root items, manifest fields, and numeric prefixes for directories and files. +- During `project sync`, numeric prefixes are stripped and renamed as needed for target assistants. Files or directories without required prefixes are rejected to avoid undefined ordering. + diff --git a/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/platform_rules_spec.md b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/platform_rules_spec.md new file mode 100644 index 0000000..af12009 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/memory_starters/docs/platform_rules_spec.md @@ -0,0 +1,29 @@ +# Specification: Target Platform Rules + +This document provides a detailed specification for how the `rulebook-ai` CLI generates platform-specific rule files for various AI assistants. + +## Generation Logic + +Target Platform Rules are the final, assistant-specific rule files generated in a user's project by the `sync` command. Their structure and content are derived from the `rules/` directories of all active packs, composed according to the order defined in the project's `.rulebook-ai/selection.json` file. These source directories must follow the [Pack Structure Spec](pack_structure_spec.md), which enforces numeric prefixes for deterministic ordering. + +The generation logic is determined by a declarative specification for each assistant, which defines two main output formats: + +### 1. Multi-File Assistants + +This format is for assistants that read from a directory of individual rule files (e.g., Cursor, Cline). + +* **Action:** The CLI copies the rule files from each active pack into a single target directory (e.g., `.cursor/rules/`). +* **Modes:** Some multi-file assistants support "modes," represented by `NN-rules-{mode}` subdirectories in the pack's `rules/` folder as defined in the [Pack Structure Spec](pack_structure_spec.md) (e.g., `02-rules-code`, `03-rules-debug`). During sync the numeric prefix is removed and the mode name becomes the subdirectory in the target directory (e.g., `.kilocode/code/`, `.kilocode/debug/`). +* **File Extensions:** The assistant's specification may enforce a specific file extension (e.g., `.mdc` for Cursor). + +### 2. Single-File Assistants + +This format is for assistants that read a single, consolidated rule file (e.g., Warp, GitHub Copilot, Claude). + +* **Action:** The CLI concatenates the content of all rule files from all active packs into a single output file (e.g., `WARP.md`). +* **Order:** The order of concatenation follows the pack order in `selection.json` and the alphabetical order of files within each pack's `rules/` directory and its subdirectories. The `NN-` prefixes mandated by the [Pack Structure Spec](pack_structure_spec.md) ensure this alphabetical ordering is deterministic. + +## Important Considerations + +* **Gitignore:** All generated rule files and directories are considered artifacts that can be regenerated at any time. They should always be added to the Target Repo's `.gitignore` file. +* **Conflict Resolution:** When multiple active packs provide a rule file at the same path, the file from the pack that appears earliest in the `selection.json` list is used. The versions from later packs are ignored, and a warning is issued to the user. diff --git a/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/01-conversion-guide.md b/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/01-conversion-guide.md new file mode 100644 index 0000000..98309b9 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/01-conversion-guide.md @@ -0,0 +1,14 @@ +## Conversion Guide + +When assisting a contributor to create a Rulebook-AI pack: + +1. Review `pack_structure_spec.md` and `platform_rules_spec.md` in memory to confirm required directories and mode names. +2. Ask the user for their existing rule or document layout. +3. Instruct them to create `manifest.yaml`, `README.md`, and a `rules/` folder at the pack root. +4. **Enforce Strict Root Structure**: Verify the user's desired layout against `pack_structure_spec.md`. Instruct that any non-standard folders (e.g., for examples, tests, or documentation) must be placed inside an appropriate standard directory (`memory_starters/`) to ensure validation passes. Explicitly state that the pack root does not allow unrecognized directories. +5. Ensure `rules/` contains zero-padded subdirectories. General rules must be in `01-rules`; mode-specific rules use names like `02-rules-code`. +6. For each subdirectory, require at least one `NN-description.md` rule file using UTF-8 encoding and visible filenames. +7. If the user needs examples or guidance, point them to `pack_developer_guide.md` and `contribution_workflow.md` in memory. +8. Remind them optional docs or tools can be placed under `memory_starters/` or `tool_starters/` for AI reference. + - Example rule for docs: "Consult `memory/pack_structure_spec.md` for structure requirements." + - Example rule for tools: "Run `python tools/validate_pack.py ` to check the pack." diff --git a/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/02-validation-checklist.md b/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/02-validation-checklist.md new file mode 100644 index 0000000..d7480ee --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/02-validation-checklist.md @@ -0,0 +1,11 @@ +## Validation Checklist + +After the contributor assembles their pack: + +1. **Verify Root Contents**: Confirm the pack root contains ONLY `manifest.yaml`, `README.md`, `rules/`, and optionally `memory_starters/` or `tool_starters/`. If any other file or directory exists, flag it as a validation failure. +2. Confirm `manifest.yaml` includes `name`, `version`, and `summary` fields. +3. Verify `rules/` contains at least one numbered subdirectory with at least one numbered rule file in each. +4. Check for UTF-8 encoding and reject hidden files or missing zero-padded prefixes. +5. Run `tools/validate_pack.py ` to perform local structure validation; alternatively instruct the user to execute `rulebook-ai packs add `. +6. If validation reports errors, return the messages and reference `pack_structure_spec.md` or `platform_rules_spec.md` for fixes. +7. When validation installs the pack locally, remind the user to remove or reinstall it after making changes. diff --git a/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/03-operational-notes.md b/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/03-operational-notes.md new file mode 100644 index 0000000..cfdad08 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/rules/01-rules/03-operational-notes.md @@ -0,0 +1,3 @@ +## Operational Notes + +- **File Paths**: When using filesystem tools like `read_file` or `write_file`, always resolve file paths to their absolute form. Use the current working directory as the base for resolution if needed. Tool documentation specifies this, and failing to provide absolute paths will cause errors. diff --git a/src/rulebook_ai/packs/pack-authoring-guide/tool_starters/validate_pack.py b/src/rulebook_ai/packs/pack-authoring-guide/tool_starters/validate_pack.py new file mode 100644 index 0000000..47b5677 --- /dev/null +++ b/src/rulebook_ai/packs/pack-authoring-guide/tool_starters/validate_pack.py @@ -0,0 +1,14 @@ +from pathlib import Path +import sys + +from rulebook_ai.community_packs import validate_pack_structure + + +def main(): + target = Path(sys.argv[1]) if len(sys.argv) > 1 else Path.cwd() + name, manifest = validate_pack_structure(target) + print(f"validated pack '{name}' version {manifest['version']}") + + +if __name__ == "__main__": + main() diff --git a/src/rulebook_ai/packs/test-set/README.md b/src/rulebook_ai/packs/test-set/README.md new file mode 100644 index 0000000..f5b9aa7 --- /dev/null +++ b/src/rulebook_ai/packs/test-set/README.md @@ -0,0 +1,3 @@ +# Test Set Pack + +This pack contains a minimal set of rules designed for testing the functionality of the `rulebook-ai` CLI and core logic. diff --git a/src/rulebook_ai/packs/test-set/manifest.yaml b/src/rulebook_ai/packs/test-set/manifest.yaml new file mode 100644 index 0000000..248d481 --- /dev/null +++ b/src/rulebook_ai/packs/test-set/manifest.yaml @@ -0,0 +1,3 @@ +name: test-set +version: 0.1.0 +summary: A small set of rules for testing the rulebook-ai tool. diff --git a/src/rulebook_ai/rule_sets/test-set/01-rules/01-basic-rule.md b/src/rulebook_ai/packs/test-set/rules/01-rules/01-basic-rule.md similarity index 100% rename from src/rulebook_ai/rule_sets/test-set/01-rules/01-basic-rule.md rename to src/rulebook_ai/packs/test-set/rules/01-rules/01-basic-rule.md diff --git a/src/rulebook_ai/scripts/sync_pack_docs.py b/src/rulebook_ai/scripts/sync_pack_docs.py new file mode 100644 index 0000000..545dcfa --- /dev/null +++ b/src/rulebook_ai/scripts/sync_pack_docs.py @@ -0,0 +1,41 @@ +import shutil +from pathlib import Path + +def main() -> int: + """ + Syncs the canonical spec documents into the pack-authoring-guide pack. + """ + # This script is in src/rulebook_ai/scripts, so project root is 3 levels up. + project_root = Path(__file__).resolve().parent.parent.parent.parent + print(f"Project root detected as: {project_root}") + + dest_dir = project_root / "src" / "rulebook_ai" / "packs" / "pack-authoring-guide" / "memory_starters" / "docs" + if not dest_dir.is_dir(): + print(f"Error: Destination directory not found at {dest_dir}") + return 1 + + print(f"Syncing documents to {dest_dir.relative_to(project_root)}...") + + sources = { + "pack_structure_spec.md": project_root / "memory/docs/features/manage_rules/pack_structure_spec.md", + "platform_rules_spec.md": project_root / "memory/docs/features/manage_rules/platform_rules_spec.md", + "pack_developer_guide.md": project_root / "memory/docs/features/community_packs/pack_developer_guide.md", + "community_packs_spec.md": project_root / "memory/docs/features/community_packs/spec.md", + } + + copied_count = 0 + for dest_name, src_path in sources.items(): + dest_path = dest_dir / dest_name + if not src_path.is_file(): + print(f" - WARNING: Source file not found, skipping: {src_path}") + continue + + print(f" - Copying: {src_path.relative_to(project_root)}") + shutil.copy(src_path, dest_path) + copied_count += 1 + + print(f"\nSync complete. Copied {copied_count} files.") + return 0 + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tests/README.md b/tests/README.md index ac71ad3..62951de 100644 --- a/tests/README.md +++ b/tests/README.md @@ -63,3 +63,29 @@ uv run python -m pytest ../tests/integration -v 3. Always install the package in development mode for testing 4. Use `uv` for environment management as specified in the modernization roadmap 5. Test against the installed package, not the source code directly + +--- + +## Testing Strategy for External Dependencies + +This section outlines the high-level strategy for testing features that interact with external systems, such as the Community Packs feature. + +### `Integration Tests` vs. `Unit Tests` + +Most tests in this suite, especially those involving file system I/O or external processes like `Git`, are classified as **`integration tests`**. Their purpose is to verify that our application correctly integrates with these external systems. + +Pure `unit tests` would involve `mocking` these external dependencies to test a function's logic in complete isolation. + +### Mocking Git Repositories: Local vs. Online + +To test features like `packs add `, we need to simulate an external Git repository. The best practice, which we follow here, is to use **local Git repositories** created within the test suite (e.g., under `tests/fixtures/`). + +We explicitly **avoid** using live, online `GitHub` repositories for our automated tests due to several first principles of good testing: + +1. **Speed**: Local operations are orders of magnitude faster than network operations. This keeps our test suite fast and our feedback loop short. +2. **Stability & Repeatability**: Online tests are prone to failure due to network issues or `GitHub` service outages. These `flaky tests` reduce confidence in our test suite. Local tests are 100% repeatable. +3. **Independence**: Local tests can be run anywhere, even offline, without requiring special authentication (`SSH keys`, `tokens`) or `CI` configuration. + +### Mocking the Community Index + +Similarly, when testing the `packs update` command, we use a local, mock `packs.json` file. Tests are configured to fetch this local file instead of a live production URL. This ensures the test environment is isolated, deterministic, and not affected by changes to the production index. diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py index a605544..710f8eb 100644 --- a/tests/integration/conftest.py +++ b/tests/integration/conftest.py @@ -1,148 +1,30 @@ -import pytest import os -import shutil import subprocess -import sys from pathlib import Path +import pytest -# --- Absolute path to the root of your ACTUAL project framework --- -FRAMEWORK_ROOT_ACTUAL = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")) -# Path to the ORIGINAL manage_rules.py script that will be COPIED -MANAGE_RULES_SCRIPT_ORIGINAL_PATH = os.path.join(FRAMEWORK_ROOT_ACTUAL, "src", "rulebook_ai", "cli.py") - -# --- Directory names to be used INSIDE the temporary SOURCE framework --- -TMP_SOURCE_RULE_SETS_DIR_NAME = "rule_sets" -TMP_SOURCE_MEMORY_STARTERS_DIR_NAME = "memory_starters" -TMP_SOURCE_TOOL_STARTERS_DIR_NAME = "tool_starters" -TMP_SOURCE_SRC_DIR_NAME = "src" # For the script itself -COPIED_MANAGE_RULES_SCRIPT_NAME = "manage_rules.py" - -@pytest.fixture(scope="session") -def tmp_source_repo_root(tmp_path_factory): - """ - Creates a temporary, isolated 'source framework' directory (tmp_source_repo_root) - that mimics the actual project structure. - This directory will contain: - 1. 'rule_sets/', 'memory_starters/', 'tool_starters/' with dummy content. - 2. A 'src/' subdirectory. - 3. A copy of the actual manage_rules.py script placed into 'src/'. - This entire structure is temporary and created once per test session. - """ - source_base_dir = tmp_path_factory.mktemp("tmp_source_repo_") # This is our tmp_source_repo_root - - # 1. Create dummy template directories directly under tmp_source_repo_root - # Create actual rule set directory structure to match real data - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "light-spec" / "01-rules").mkdir(parents=True, exist_ok=True) - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "light-spec" / "02-rules-architect").mkdir(parents=True, exist_ok=True) - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "heavy-spec" / "01-rules").mkdir(parents=True, exist_ok=True) - - # Create test files matching actual rule set structure - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "light-spec" / "01-rules" / "00-meta-rules.md").write_text("Test Light-spec: Main Directive") - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "light-spec" / "01-rules" / "01-memory.md").write_text("Test Light-spec: Memory") - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "light-spec" / "02-rules-architect" / "01-plan_v1.md").write_text("Test Light-spec: Python Style") - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "heavy-spec" / "01-rules" / "00-meta-rules.md").write_text("Test Heavy-spec: Advanced Config") - (source_base_dir / TMP_SOURCE_RULE_SETS_DIR_NAME / "light-spec" / "03-top-level.md").write_text("Top level light rule") - - (source_base_dir / TMP_SOURCE_MEMORY_STARTERS_DIR_NAME).mkdir(parents=True, exist_ok=True) - (source_base_dir / TMP_SOURCE_MEMORY_STARTERS_DIR_NAME / "ARCHITECTURE_OVERVIEW.md").write_text("Test Memory: Architecture Overview") - (source_base_dir / TMP_SOURCE_MEMORY_STARTERS_DIR_NAME / "CODING_GUIDELINES.md").write_text("Test Memory: Coding Guidelines") - (source_base_dir / TMP_SOURCE_MEMORY_STARTERS_DIR_NAME / "NEW_MEMORY_DOC.md").write_text("A new memory starter doc for testing non-destructive copy.") - - (source_base_dir / TMP_SOURCE_TOOL_STARTERS_DIR_NAME).mkdir(parents=True, exist_ok=True) - (source_base_dir / TMP_SOURCE_TOOL_STARTERS_DIR_NAME / "linter_tool.py").write_text("print('Executing test linter tool...')") - (source_base_dir / TMP_SOURCE_TOOL_STARTERS_DIR_NAME / "formatter_tool.sh").write_text("#!/bin/bash\necho 'Executing test formatter tool'") - (source_base_dir / TMP_SOURCE_TOOL_STARTERS_DIR_NAME / "NEW_TOOL_SCRIPT.py").write_text("print('A new tool script for testing non-destructive copy.')") - - # Create dummy env.example and requirements.txt at the root of tmp_source_repo_root - (source_base_dir / "env.example").write_text("TEST_ENV_VAR=example_value\n") - (source_base_dir / "requirements.txt").write_text("test-package==1.0.0\n") - - # 2. Create the src/ subdirectory within tmp_source_repo_root - tmp_src_dir = source_base_dir / TMP_SOURCE_SRC_DIR_NAME - tmp_src_dir.mkdir(parents=True, exist_ok=True) - - # 3. Copy the actual manage_rules.py script into tmp_source_repo_root/src/ - assert os.path.exists(MANAGE_RULES_SCRIPT_ORIGINAL_PATH), \ - f"Original manage_rules.py not found at {MANAGE_RULES_SCRIPT_ORIGINAL_PATH}. Ensure path is correct." - shutil.copy2(MANAGE_RULES_SCRIPT_ORIGINAL_PATH, tmp_src_dir / COPIED_MANAGE_RULES_SCRIPT_NAME) - - print(f"Created temporary source repo root for tests (with src/ subdir) at: {source_base_dir}") - return source_base_dir - - -def _run_script_from_tmp_source( - tmp_source_root_path, - command_args_list, - tmp_target_path=None, # Made optional - confirm_input=None - ): - - # Use the modern rulebook-ai CLI instead of old manage_rules.py script - full_command = [ - "rulebook-ai", - *command_args_list - ] - if tmp_target_path: # Only add target_path if it's provided - full_command.extend(["--project-dir", str(tmp_target_path)]) - - # Execute the modern rulebook-ai CLI command - print(f"Running: {' '.join(full_command)}") - process = subprocess.run( - full_command, - capture_output=True, - text=True, - input=(confirm_input + "\n") if confirm_input is not None else None, - check=False - ) - - print(f"STDOUT:\n{process.stdout}") - if process.stderr: - print(f"STDERR:\n{process.stderr}") - return process @pytest.fixture -def script_runner(tmp_source_repo_root): - """Returns a function that runs the script with the given arguments.""" - def _run_script(args, tmp_target_path=None, confirm_input=None): - return _run_script_from_tmp_source( - tmp_source_repo_root, - args, - tmp_target_path, - confirm_input +def run_cli(): + repo_root = Path(__file__).resolve().parents[2] + + def _run_cli(args, project_dir, input_text=None, env=None): + base_env = os.environ.copy() + base_env["PYTHONPATH"] = str(repo_root / "src") + if env: + base_env.update(env) + cmd = ["python", "-m", "rulebook_ai", *args, "--project-dir", str(project_dir)] + return subprocess.run( + cmd, input=input_text, capture_output=True, text=True, env=base_env ) - return _run_script + return _run_cli -@pytest.fixture(scope="session") -def tools_symlink(): - """ - Create a symlink from 'tools' to 'tool_starters' in the site-packages directory. - This allows tests to import from 'tools' while the actual code is in 'tool_starters'. - - This is a temporary solution until the project is fully modernized and the imports - are updated to match the actual directory structure. - """ - # Get the site-packages directory - site_packages = None - for path in sys.path: - if "site-packages" in path: - site_packages = Path(path) - break - - if not site_packages: - pytest.skip("Could not find site-packages directory") - - # Check if tools symlink already exists - tools_link = site_packages / "tools" - tool_starters_path = Path(FRAMEWORK_ROOT_ACTUAL) / "tool_starters" - - if not tools_link.exists(): - # Create symlink - tools_link.symlink_to(tool_starters_path, target_is_directory=True) - yield tools_link - # Clean up - if tools_link.exists() and tools_link.is_symlink(): - tools_link.unlink() - else: - # Symlink already exists, just yield it - yield tools_link + +@pytest.fixture +def synced_project(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + run_cli(["packs", "add", "light-spec"], project_dir) + run_cli(["project", "sync", "--assistant", "cursor"], project_dir) + return project_dir diff --git a/tests/integration/test_cli_commands.py b/tests/integration/test_cli_commands.py deleted file mode 100644 index 65825ce..0000000 --- a/tests/integration/test_cli_commands.py +++ /dev/null @@ -1,346 +0,0 @@ -import os -import shutil -import re # For checking generated rule file formats -import pytest - -# --- Expected directory names in the TARGET project (tmp_target_repo_root) --- -TARGET_PROJECT_RULES_DIR = "project_rules" -TARGET_MEMORY_BANK_DIR = "memory" -TARGET_TOOLS_DIR = "tools" - -def test_install_default_rule_set(script_runner, tmp_path): - """Test `install` with the default rule set ('light-spec').""" - tmp_target_repo_root = tmp_path / "my_project_default_install" - tmp_target_repo_root.mkdir() - - result = script_runner(["install"], tmp_target_repo_root) - assert result.returncode == 0, f"Script failed. STDERR:\n{result.stderr}\nSTDOUT:\n{result.stdout}" - - # 1. Check presence of core directories in target - assert (tmp_target_repo_root / TARGET_PROJECT_RULES_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_MEMORY_BANK_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_TOOLS_DIR).is_dir() - - # 2. Check project_rules content (should be 'light-spec' from the actual package) - project_rules_target = tmp_target_repo_root / TARGET_PROJECT_RULES_DIR - assert (project_rules_target / "01-rules" / "00-meta-rules.md").is_file() - assert (project_rules_target / "02-rules-architect" / "01-plan_v1.md").is_file() - - # 3. Check memory_bank content (from actual package) - memory_bank_target = tmp_target_repo_root / TARGET_MEMORY_BANK_DIR - assert (memory_bank_target / "docs" / "architecture_template.md").is_file() - assert (memory_bank_target / "tasks" / "active_context_template.md").is_file() - - # 4. Check tools content (from actual package) - tools_target = tmp_target_repo_root / TARGET_TOOLS_DIR - assert (tools_target / "llm_api.py").is_file() - assert (tools_target / "web_scraper.py").is_file() - - # 5. Check for generated platform-specific rule directories - assert (tmp_target_repo_root / ".cursor" / "rules").is_dir() - assert (tmp_target_repo_root / ".clinerules").is_dir() - # Check mode-based assistants for multiple modes and a file within a mode - assert (tmp_target_repo_root / ".roo" / "rules").is_dir() - assert (tmp_target_repo_root / ".roo" / "rules-architect").is_dir() - assert (tmp_target_repo_root / ".roo" / "rules" / "00-meta-rules.md").is_file() - assert (tmp_target_repo_root / ".kilocode" / "rules").is_dir() - assert (tmp_target_repo_root / ".kilocode" / "rules-architect").is_dir() - assert (tmp_target_repo_root / ".kilocode" / "rules" / "00-meta-rules.md").is_file() - assert (tmp_target_repo_root / ".windsurf" / "rules").is_dir() - assert (tmp_target_repo_root / "WARP.md").is_file() - gh_copilot_instructions_file = tmp_target_repo_root / ".github" / "copilot-instructions.md" - assert gh_copilot_instructions_file.is_file() - assert (tmp_target_repo_root / "CLAUDE.md").is_file() - assert (tmp_target_repo_root / "AGENTS.md").is_file() - assert (tmp_target_repo_root / ".gemini" / "GEMINI.md").is_file() - - # Check content of a generated file to ensure it's from the correct source rules - expected_content = "Meta-Rules for AI Assistant Interaction" - gh_copilot_content = gh_copilot_instructions_file.read_text() - assert expected_content in gh_copilot_content - claude_content = (tmp_target_repo_root / "CLAUDE.md").read_text() - assert expected_content in claude_content - warp_content = (tmp_target_repo_root / "WARP.md").read_text() - assert expected_content in warp_content - - - # 6. Check for .env.example and requirements.txt - assert (tmp_target_repo_root / ".env.example").is_file() - assert (tmp_target_repo_root / "requirements.txt").is_file() - - -def test_install_specific_rule_set(script_runner, tmp_path): - """Test `install --rule-set heavy-spec`.""" - tmp_target_repo_root = tmp_path / "my_project_heavy_install" - tmp_target_repo_root.mkdir() - - result = script_runner(["install", "--rule-set", "heavy-spec"], tmp_target_repo_root) - assert result.returncode == 0, f"Script failed. STDERR:\n{result.stderr}" - - project_rules_target = tmp_target_repo_root / TARGET_PROJECT_RULES_DIR - assert (project_rules_target / "01-rules" / "00-meta-rules.md").is_file() - assert (project_rules_target / "01-rules" / "01-memory.md").is_file() - - gh_copilot_content = (tmp_target_repo_root / ".github" / "copilot-instructions.md").read_text() - assert "Meta-Rules for AI Assistant Interaction" in gh_copilot_content - assert (tmp_target_repo_root / "CLAUDE.md").is_file() - assert (tmp_target_repo_root / "AGENTS.md").is_file() - assert (tmp_target_repo_root / ".gemini" / "GEMINI.md").is_file() - assert (tmp_target_repo_root / "WARP.md").is_file() - assert (tmp_target_repo_root / ".kilocode" / "rules").is_dir() - - -def test_sync_after_manual_project_rules_modification(script_runner, tmp_path): - tmp_target_repo_root = tmp_path / "project_for_sync_test" - tmp_target_repo_root.mkdir() - install_result = script_runner(["install", "--rule-set", "light-spec"], tmp_target_repo_root) - assert install_result.returncode == 0, f"Setup install failed: {install_result.stderr}" - - # Modify a rule in the first mode ('rules') - rule_to_modify_1 = tmp_target_repo_root / TARGET_PROJECT_RULES_DIR / "01-rules" / "00-meta-rules.md" - assert rule_to_modify_1.is_file() - modified_content_1 = " *** MODIFIED CONTENT 1 FOR SYNC TEST *** " - rule_to_modify_1.write_text(modified_content_1) - - # Modify a rule in the second mode ('rules-architect') - rule_to_modify_2 = tmp_target_repo_root / TARGET_PROJECT_RULES_DIR / "02-rules-architect" / "01-plan_v1.md" - assert rule_to_modify_2.is_file() - modified_content_2 = " *** MODIFIED CONTENT 2 FOR SYNC TEST *** " - rule_to_modify_2.write_text(modified_content_2) - - result = script_runner(["sync"], tmp_target_repo_root) - assert result.returncode == 0, f"Sync script failed. STDERR:\n{result.stderr}" - - # --- Assertions for concatenated files --- - gh_copilot_file_path = tmp_target_repo_root / ".github" / "copilot-instructions.md" - claude_path = tmp_target_repo_root / "CLAUDE.md" - codex_path = tmp_target_repo_root / "AGENTS.md" - gemini_path = tmp_target_repo_root / ".gemini" / "GEMINI.md" - warp_path = tmp_target_repo_root / "WARP.md" - - for path in [gh_copilot_file_path, claude_path, codex_path, gemini_path, warp_path]: - assert path.is_file() - content = path.read_text() - assert modified_content_1 in content - assert modified_content_2 in content - - # --- Assertions for first modified rule in mode-based assistants --- - roo_path_1 = tmp_target_repo_root / ".roo" / "rules" / "00-meta-rules.md" - kilocode_path_1 = tmp_target_repo_root / ".kilocode" / "rules" / "00-meta-rules.md" - assert roo_path_1.is_file() - assert kilocode_path_1.is_file() - assert modified_content_1 in roo_path_1.read_text() - assert modified_content_1 in kilocode_path_1.read_text() - - # --- Assertions for second modified rule in mode-based assistants --- - roo_path_2 = tmp_target_repo_root / ".roo" / "rules-architect" / "01-plan_v1.md" - kilocode_path_2 = tmp_target_repo_root / ".kilocode" / "rules-architect" / "01-plan_v1.md" - assert roo_path_2.is_file() - assert kilocode_path_2.is_file() - assert modified_content_2 in roo_path_2.read_text() - assert modified_content_2 in kilocode_path_2.read_text() - - -def test_clean_rules_removes_rules_and_generated_keeps_memory_tools(script_runner, tmp_path): - tmp_target_repo_root = tmp_path / "project_for_clean_rules" - tmp_target_repo_root.mkdir() - install_result = script_runner(["install"], tmp_target_repo_root) - assert install_result.returncode == 0, f"Setup install failed: {install_result.stderr}" - - result = script_runner(["clean-rules"], tmp_target_repo_root) - assert result.returncode == 0, f"clean-rules script failed. STDERR:\n{result.stderr}" - - assert not (tmp_target_repo_root / TARGET_PROJECT_RULES_DIR).exists() - assert not (tmp_target_repo_root / ".cursor").exists() - assert not (tmp_target_repo_root / ".windsurf").exists() - assert not (tmp_target_repo_root / ".clinerules").exists() - assert not (tmp_target_repo_root / ".roo").exists() - assert not (tmp_target_repo_root / ".kilocode").exists() - assert not (tmp_target_repo_root / "WARP.md").exists() - assert not (tmp_target_repo_root / ".github").exists() - assert not (tmp_target_repo_root / "CLAUDE.md").exists() - assert not (tmp_target_repo_root / "AGENTS.md").exists() - assert not (tmp_target_repo_root / ".gemini").exists() - - assert (tmp_target_repo_root / TARGET_MEMORY_BANK_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_TOOLS_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_MEMORY_BANK_DIR / "docs" / "architecture_template.md").is_file() - - -def test_clean_all_with_confirmation_yes(script_runner, tmp_path): - tmp_target_repo_root = tmp_path / "project_for_clean_all_yes" - tmp_target_repo_root.mkdir() - install_result = script_runner(["install"], tmp_target_repo_root) - assert install_result.returncode == 0, f"Setup install failed: {install_result.stderr}" - - result = script_runner(["clean-all"], tmp_target_repo_root, confirm_input="yes") - assert result.returncode == 0, f"clean-all script failed. STDERR:\n{result.stderr}" - - assert not (tmp_target_repo_root / TARGET_PROJECT_RULES_DIR).exists() - assert not (tmp_target_repo_root / TARGET_MEMORY_BANK_DIR).exists() - assert not (tmp_target_repo_root / TARGET_TOOLS_DIR).exists() - assert not (tmp_target_repo_root / ".cursor").exists() - assert not (tmp_target_repo_root / ".clinerules").exists() - assert not (tmp_target_repo_root / ".roo").exists() - assert not (tmp_target_repo_root / ".kilocode").exists() - assert not (tmp_target_repo_root / "WARP.md").exists() - assert not (tmp_target_repo_root / ".windsurf").exists() - assert not (tmp_target_repo_root / ".github").exists() - assert not (tmp_target_repo_root / "CLAUDE.md").exists() - assert not (tmp_target_repo_root / "AGENTS.md").exists() - assert not (tmp_target_repo_root / ".gemini").exists() - assert not (tmp_target_repo_root / ".env.example").exists() - assert not (tmp_target_repo_root / "requirements.txt").exists() - - -def test_clean_all_with_confirmation_no(script_runner, tmp_path): - tmp_target_repo_root = tmp_path / "project_for_clean_all_no" - tmp_target_repo_root.mkdir() - install_result = script_runner(["install"], tmp_target_repo_root) - assert install_result.returncode == 0, f"Setup install failed: {install_result.stderr}" - - result = script_runner(["clean-all"], tmp_target_repo_root, confirm_input="no") - assert result.returncode == 0, f"clean-all script failed. STDERR:\n{result.stderr}" - - assert (tmp_target_repo_root / TARGET_PROJECT_RULES_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_MEMORY_BANK_DIR).is_dir() - assert (tmp_target_repo_root / ".env.example").is_file() - assert (tmp_target_repo_root / "requirements.txt").is_file() - assert (tmp_target_repo_root / ".windsurf" / "rules").is_dir() - assert (tmp_target_repo_root / "CLAUDE.md").is_file() - assert (tmp_target_repo_root / "AGENTS.md").is_file() - assert (tmp_target_repo_root / ".gemini" / "GEMINI.md").is_file() - assert (tmp_target_repo_root / "WARP.md").is_file() - assert "Clean-all operation cancelled by user." in result.stdout - - -def test_list_rules(script_runner): - """Test the `list-rules` command.""" - result = script_runner(["list-rules"]) - assert result.returncode == 0, f"Script failed. STDERR:\n{result.stderr}\nSTDOUT:\n{result.stdout}" - - stdout = result.stdout - assert "Available rule sets:" in stdout - assert "- heavy-spec" in stdout - assert "- light-spec" in stdout - assert "https://github.com/botingw/rulebook-ai/wiki/Ratings-%26-Reviews-(Rulesets)" in stdout - - -def test_install_with_specific_assistant_flags(script_runner, tmp_path): - """Test install with specific assistant flags.""" - tmp_target_repo_root = tmp_path / "my_project_windsurf_only" - tmp_target_repo_root.mkdir() - - # Test --windsurf flag - result = script_runner(["install", "--windsurf"], tmp_target_repo_root) - assert result.returncode == 0, f"Script failed. STDERR:\n{result.stderr}\nSTDOUT:\n{result.stdout}" - - # Should create windsurf directory - assert (tmp_target_repo_root / ".windsurf" / "rules").is_dir() - - # Should NOT create other assistant directories when specific flag is used - assert not (tmp_target_repo_root / ".cursor").exists() - assert not (tmp_target_repo_root / ".clinerules").exists() - assert not (tmp_target_repo_root / ".roo").exists() - assert not (tmp_target_repo_root / ".kilocode").exists() - assert not (tmp_target_repo_root / "WARP.md").exists() - assert not (tmp_target_repo_root / ".github").exists() - assert not (tmp_target_repo_root / "CLAUDE.md").exists() - assert not (tmp_target_repo_root / "AGENTS.md").exists() - assert not (tmp_target_repo_root / ".gemini").exists() - # Should still create generic directories - assert (tmp_target_repo_root / TARGET_PROJECT_RULES_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_MEMORY_BANK_DIR).is_dir() - assert (tmp_target_repo_root / TARGET_TOOLS_DIR).is_dir() - - -def test_install_with_all_assistants_flag(script_runner, tmp_path): - """Test install with --all-assistants flag.""" - tmp_target_repo_root = tmp_path / "my_project_all_assistants" - tmp_target_repo_root.mkdir() - - result = script_runner(["install", "--all"], tmp_target_repo_root) - assert result.returncode == 0, f"Script failed. STDERR:\n{result.stderr}\nSTDOUT:\n{result.stdout}" - - # Should create ALL assistant directories - assert (tmp_target_repo_root / ".cursor" / "rules").is_dir() - assert (tmp_target_repo_root / ".clinerules").is_dir() - assert (tmp_target_repo_root / ".roo" / "rules").is_dir() - assert (tmp_target_repo_root / ".kilocode" / "rules").is_dir() - assert (tmp_target_repo_root / ".windsurf" / "rules").is_dir() - assert (tmp_target_repo_root / "WARP.md").is_file() - assert (tmp_target_repo_root / ".github" / "copilot-instructions.md").is_file() - assert (tmp_target_repo_root / "CLAUDE.md").is_file() - assert (tmp_target_repo_root / "AGENTS.md").is_file() - assert (tmp_target_repo_root / ".gemini" / "GEMINI.md").is_file() - - -def test_sync_with_specific_assistant_flags(script_runner, tmp_path): - """Test sync with specific assistant flags.""" - tmp_target_repo_root = tmp_path / "project_for_sync_assistant_test" - tmp_target_repo_root.mkdir() - - # First install with all assistants - script_runner(["install"], tmp_target_repo_root) - - # Modify project rules - rule_to_modify = tmp_target_repo_root / TARGET_PROJECT_RULES_DIR / "01-rules" / "00-meta-rules.md" - modified_content = " *** SYNC TEST WITH WINDSURF FLAG *** " - rule_to_modify.write_text(modified_content) - - # Sync only windsurf - result = script_runner(["sync", "--windsurf"], tmp_target_repo_root) - assert result.returncode == 0, f"Sync script failed. STDERR:\n{result.stderr}" - - # Check that windsurf was synced - synced_windsurf_rule_file = tmp_target_repo_root / ".windsurf" / "rules" / "01-meta-rules.md" - assert synced_windsurf_rule_file.is_file() - assert modified_content in synced_windsurf_rule_file.read_text() - - -def test_sync_detects_existing_assistants(script_runner, tmp_path): - """Test that sync without flags detects existing assistant directories.""" - tmp_target_repo_root = tmp_path / "project_for_sync_detection_test" - tmp_target_repo_root.mkdir() - - # Install only windsurf initially - script_runner(["install", "--windsurf"], tmp_target_repo_root) - - # Modify project rules - rule_to_modify = tmp_target_repo_root / TARGET_PROJECT_RULES_DIR / "01-rules" / "00-meta-rules.md" - modified_content = " *** AUTO-DETECTION SYNC TEST *** " - rule_to_modify.write_text(modified_content) - - # Sync without flags should now sync ALL assistants, not just existing ones - result = script_runner(["sync"], tmp_target_repo_root) - assert result.returncode == 0, f"Sync script failed. STDERR:\n{result.stderr}" - - # Check that windsurf was synced - synced_windsurf_rule_file = tmp_target_repo_root / ".windsurf" / "rules" / "01-meta-rules.md" - assert synced_windsurf_rule_file.is_file() - assert modified_content in synced_windsurf_rule_file.read_text() - - # Check that another assistant (e.g., cursor) was ALSO synced - synced_cursor_rule_file = tmp_target_repo_root / ".cursor" / "rules" / "01-meta-rules.mdc" - assert synced_cursor_rule_file.is_file() - assert modified_content in synced_cursor_rule_file.read_text() - claude_file = tmp_target_repo_root / "CLAUDE.md" - assert claude_file.is_file() - assert modified_content in claude_file.read_text() - - -def test_bug_report_command(script_runner): - """Verify the bug-report command opens the issue tracker URL.""" - result = script_runner(["bug-report"]) - assert result.returncode == 0, f"Command failed. STDERR:\n{result.stderr}" - assert "https://github.com/botingw/rulebook-ai/issues" in result.stdout - - -def test_rate_ruleset_command(script_runner): - """Verify the rate-ruleset command opens the ratings page URL.""" - result = script_runner(["rate-ruleset"]) - assert result.returncode == 0, f"Command failed. STDERR:\n{result.stderr}" - assert ( - "https://github.com/botingw/rulebook-ai/wiki/Ratings-%26-Reviews-(Rulesets)" - in result.stdout - ) diff --git a/tests/integration/test_community_packs_add.py b/tests/integration/test_community_packs_add.py new file mode 100644 index 0000000..2d90c29 --- /dev/null +++ b/tests/integration/test_community_packs_add.py @@ -0,0 +1,150 @@ +import json +import subprocess +from pathlib import Path + + +def _create_repo( + base: Path, + slug: str, + *, + manifest_name: str = "good-pack", + include_rules: bool = True, + include_manifest: bool = True, +): + repo_dir = base / Path(slug) + repo_dir.mkdir(parents=True) + if include_rules: + rules_dir = repo_dir / "rules" / "01-rules" + rules_dir.mkdir(parents=True) + (rules_dir / "01-rule.md").write_text("rule") + if include_manifest: + (repo_dir / "manifest.yaml").write_text( + f"name: {manifest_name}\nversion: 0.1.0\nsummary: test pack\n" + ) + (repo_dir / "README.md").write_text("readme") + subprocess.run(["git", "init"], cwd=repo_dir, capture_output=True) + subprocess.run( + ["git", "config", "user.email", "test@example.com"], + cwd=repo_dir, + capture_output=True, + ) + subprocess.run( + ["git", "config", "user.name", "Test"], cwd=repo_dir, capture_output=True + ) + subprocess.run(["git", "add", "-A"], cwd=repo_dir, capture_output=True) + subprocess.run( + ["git", "commit", "-m", "init"], cwd=repo_dir, capture_output=True + ) + commit = subprocess.run( + ["git", "rev-parse", "HEAD"], cwd=repo_dir, capture_output=True, text=True + ).stdout.strip() + return repo_dir, commit + + +def test_add_pack_by_slug_installs_to_folder(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/good-pack" + _, commit = _create_repo(base, slug) + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", f"github:{slug}"], + project_dir, + input_text="yes\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + assert result.returncode == 0, result.stderr + dest = project_dir / ".rulebook-ai" / "packs" / "good-pack" + assert dest.is_dir() + meta = json.loads((dest / "pack.json").read_text()) + assert meta["slug"] == slug + assert meta["commit"] == commit + selection = json.loads( + (project_dir / ".rulebook-ai" / "selection.json").read_text() + ) + entry = selection["packs"][0] + assert entry["slug"] == slug + assert entry["commit"] == commit + + +def test_add_pack_conflicting_name_fails(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/conflict-pack" + _create_repo(base, slug, manifest_name="light-spec") + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", f"github:{slug}"], + project_dir, + input_text="yes\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + assert result.returncode != 0 + dest = project_dir / ".rulebook-ai" / "packs" / "light-spec" + assert not dest.exists() + + +def test_add_pack_invalid_structure_fails(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/invalid-pack" + _create_repo(base, slug, include_rules=False) + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", f"github:{slug}"], + project_dir, + input_text="yes\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + assert result.returncode != 0 + dest = project_dir / ".rulebook-ai" / "packs" / "invalid-pack" + assert not dest.exists() + + +def test_add_pack_user_decline_aborts(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/decline-pack" + _create_repo(base, slug, manifest_name="decline-pack") + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", f"github:{slug}"], + project_dir, + input_text="no\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + assert result.returncode == 0 + dest = project_dir / ".rulebook-ai" / "packs" / "decline-pack" + assert not dest.exists() + +def test_add_pack_by_local_path(tmp_path, run_cli): + # 1. Create a local pack directory + local_pack_dir = tmp_path / "my-local-pack" + rules_dir = local_pack_dir / "rules" / "01-rules" + rules_dir.mkdir(parents=True) + (rules_dir / "01-rule.md").write_text("local rule") + (local_pack_dir / "manifest.yaml").write_text( + "name: my-local-pack\nversion: 1.0.0\nsummary: A local test pack\n" + ) + (local_pack_dir / "README.md").write_text("readme") + + # 2. Run the CLI command + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", f"local:{local_pack_dir}"], + project_dir, + ) + + # 3. Assert results + assert result.returncode == 0, result.stderr + dest = project_dir / ".rulebook-ai" / "packs" / "my-local-pack" + assert dest.is_dir() + assert (dest / "rules" / "01-rules" / "01-rule.md").read_text() == "local rule" + + selection = json.loads( + (project_dir / ".rulebook-ai" / "selection.json").read_text() + ) + entry = selection["packs"][0] + assert entry["name"] == "my-local-pack" + assert entry["version"] == "1.0.0" \ No newline at end of file diff --git a/tests/integration/test_community_packs_index.py b/tests/integration/test_community_packs_index.py new file mode 100644 index 0000000..1c8654f --- /dev/null +++ b/tests/integration/test_community_packs_index.py @@ -0,0 +1,221 @@ +import json +import subprocess +from pathlib import Path + + +CACHE_PATH = ( + Path(__file__).resolve().parents[2] + / "src" + / "rulebook_ai" + / "community" + / "index_cache" + / "packs.json" +) + + +def _create_repo(base: Path, slug: str) -> tuple[Path, str]: + repo_dir = base / Path(slug) + repo_dir.mkdir(parents=True) + rules_dir = repo_dir / "rules" / "01-rules" + rules_dir.mkdir(parents=True) + (rules_dir / "01-rule.md").write_text("rule") + (repo_dir / "manifest.yaml").write_text( + f"name: {Path(slug).name}\nversion: 0.1.0\nsummary: test pack\n" + ) + (repo_dir / "README.md").write_text("readme") + subprocess.run(["git", "init"], cwd=repo_dir, capture_output=True) + subprocess.run( + ["git", "config", "user.email", "test@example.com"], + cwd=repo_dir, + capture_output=True, + ) + subprocess.run( + ["git", "config", "user.name", "Test"], cwd=repo_dir, capture_output=True + ) + subprocess.run(["git", "add", "-A"], cwd=repo_dir, capture_output=True) + subprocess.run( + ["git", "commit", "-m", "init"], cwd=repo_dir, capture_output=True + ) + commit = subprocess.run( + ["git", "rev-parse", "HEAD"], cwd=repo_dir, capture_output=True, text=True + ).stdout.strip() + return repo_dir, commit + + +def _write_cache(data: dict) -> None: + CACHE_PATH.parent.mkdir(parents=True, exist_ok=True) + CACHE_PATH.write_text(json.dumps(data, indent=2)) + + +def test_packs_update_refreshes_cache(tmp_path, run_cli): + index_file = tmp_path / "packs.json" + data = { + "packs": [ + { + "name": "good-pack", + "username": "user", + "repo": "good-pack", + "description": "desc", + } + ] + } + index_file.write_text(json.dumps(data)) + _write_cache({"packs": []}) + result = run_cli( + ["packs", "update"], + tmp_path, + env={"RULEBOOK_AI_INDEX_URL": index_file.as_uri()}, + ) + assert result.returncode == 0, result.stderr + cached = json.loads(CACHE_PATH.read_text()) + assert cached == data + + +def test_packs_update_invalid_json_retains_old_cache(tmp_path, run_cli): + bad_index = tmp_path / "bad.json" + bad_index.write_text("{" ) + old = {"packs": [ {"name": "old", "username": "u", "repo": "r", "description": "d"} ]} + _write_cache(old) + result = run_cli( + ["packs", "update"], + tmp_path, + env={"RULEBOOK_AI_INDEX_URL": bad_index.as_uri()}, + ) + assert result.returncode != 0 + cached = json.loads(CACHE_PATH.read_text()) + assert cached == old + + +def test_add_pack_by_name_uses_cache(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/good-pack" + _, commit = _create_repo(base, slug) + index = { + "packs": [ + { + "name": "good-pack", + "username": "user", + "repo": "good-pack", + "description": "desc", + "commit": commit, + } + ] + } + index_file = tmp_path / "packs.json" + index_file.write_text(json.dumps(index)) + _write_cache({"packs": []}) + run_cli( + ["packs", "update"], + tmp_path, + env={"RULEBOOK_AI_INDEX_URL": index_file.as_uri()}, + ) + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", "good-pack"], + project_dir, + input_text="yes\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + assert result.returncode == 0, result.stderr + dest = project_dir / ".rulebook-ai" / "packs" / "good-pack" + assert dest.is_dir() + meta = json.loads((dest / "pack.json").read_text()) + assert meta["slug"] == slug + assert meta["commit"] == commit + + +def test_add_unknown_pack_name_fails(tmp_path, run_cli): + index_file = tmp_path / "packs.json" + index_file.write_text(json.dumps({"packs": []})) + _write_cache({"packs": []}) + run_cli( + ["packs", "update"], + tmp_path, + env={"RULEBOOK_AI_INDEX_URL": index_file.as_uri()}, + ) + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli([ + "packs", + "add", + "unknown", + ], project_dir) + assert result.returncode != 0 + dest = project_dir / ".rulebook-ai" / "packs" / "unknown" + assert not dest.exists() + + +def test_add_pack_name_mismatch_fails(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/good-pack" + _, commit = _create_repo(base, slug) + index = { + "packs": [ + { + "name": "wrong-name", + "username": "user", + "repo": "good-pack", + "description": "desc", + "commit": commit, + } + ] + } + index_file = tmp_path / "packs.json" + index_file.write_text(json.dumps(index)) + _write_cache({"packs": []}) + run_cli( + ["packs", "update"], + tmp_path, + env={"RULEBOOK_AI_INDEX_URL": index_file.as_uri()}, + ) + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli( + ["packs", "add", "wrong-name"], + project_dir, + input_text="yes\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + assert result.returncode != 0 + dest = project_dir / ".rulebook-ai" / "packs" / "good-pack" + assert not dest.exists() + + +def test_installed_pack_records_slug_metadata(tmp_path, run_cli): + base = tmp_path / "repos" + slug = "user/good-pack" + _, commit = _create_repo(base, slug) + index = { + "packs": [ + { + "name": "good-pack", + "username": "user", + "repo": "good-pack", + "description": "desc", + "commit": commit, + } + ] + } + index_file = tmp_path / "packs.json" + index_file.write_text(json.dumps(index)) + _write_cache({"packs": []}) + run_cli( + ["packs", "update"], + tmp_path, + env={"RULEBOOK_AI_INDEX_URL": index_file.as_uri()}, + ) + project_dir = tmp_path / "proj" + project_dir.mkdir() + run_cli( + ["packs", "add", "good-pack"], + project_dir, + input_text="yes\n", + env={"RULEBOOK_AI_GIT_BASE": str(base)}, + ) + selection = json.loads( + (project_dir / ".rulebook-ai" / "selection.json").read_text() + ) + entry = selection["packs"][0] + assert entry["slug"] == slug + assert entry["commit"] == commit diff --git a/tests/integration/test_community_packs_list.py b/tests/integration/test_community_packs_list.py new file mode 100644 index 0000000..4e95273 --- /dev/null +++ b/tests/integration/test_community_packs_list.py @@ -0,0 +1,46 @@ +import json +from pathlib import Path + +CACHE_PATH = ( + Path(__file__).resolve().parents[2] + / "src" + / "rulebook_ai" + / "community" + / "index_cache" + / "packs.json" +) + +def _write_cache(data: dict) -> None: + CACHE_PATH.parent.mkdir(parents=True, exist_ok=True) + CACHE_PATH.write_text(json.dumps(data, indent=2)) + + +def test_packs_list_shows_builtin_and_community(tmp_path, run_cli): + index = { + "packs": [ + { + "name": "good-pack", + "username": "user", + "repo": "good-pack", + "description": "desc", + } + ] + } + _write_cache(index) + project_dir = tmp_path / "proj" + project_dir.mkdir() + result = run_cli(["packs", "list"], project_dir) + assert result.returncode == 0, result.stderr + assert "light-spec" in result.stdout + assert "good-pack" in result.stdout + assert "(community)" in result.stdout + assert "desc" in result.stdout + + +def test_packs_list_does_not_hit_network(tmp_path, run_cli): + _write_cache({"packs": []}) + project_dir = tmp_path / "proj" + project_dir.mkdir() + env = {"RULEBOOK_AI_INDEX_URL": "http://example.invalid"} + result = run_cli(["packs", "list"], project_dir, env=env) + assert result.returncode == 0, result.stderr diff --git a/tests/integration/test_package_installation.py b/tests/integration/test_package_installation.py index 126fd0a..426259b 100644 --- a/tests/integration/test_package_installation.py +++ b/tests/integration/test_package_installation.py @@ -27,6 +27,13 @@ def test_cli_module_import(): print("✅ Successfully imported CLI module") +def test_community_packs_module_import(): + """Test that community_packs module can be imported.""" + from rulebook_ai import community_packs + assert hasattr(community_packs, 'validate_pack_structure') + print("✅ Successfully imported community_packs module") + + def test_rule_manager_instantiation(): """Test that RuleManager can be instantiated.""" from rulebook_ai.core import RuleManager @@ -45,7 +52,7 @@ def test_package_structure(): import inspect # Check that main modules exist - expected_modules = ['core', 'cli'] + expected_modules = ['core', 'cli', 'community_packs'] for module_name in expected_modules: try: diff --git a/tests/integration/test_packs_add.py b/tests/integration/test_packs_add.py new file mode 100644 index 0000000..0d57243 --- /dev/null +++ b/tests/integration/test_packs_add.py @@ -0,0 +1,59 @@ +import json + + +def test_packs_add_is_config_only(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + result = run_cli(["packs", "add", "light-spec"], project_dir) + assert result.returncode == 0, result.stderr + + rulebook_dir = project_dir / ".rulebook-ai" + assert (rulebook_dir / "packs" / "light-spec").is_dir() + + selection = json.loads((rulebook_dir / "selection.json").read_text()) + assert selection["packs"][0]["name"] == "light-spec" + + # no memory/tools or rules until project sync + assert not (project_dir / "memory").exists() + assert not (project_dir / "tools").exists() + assert not (project_dir / ".cursor").exists() + +def test_add_pack_with_source_conflict_fails(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + # 1. Add the built-in 'light-spec' pack first + result1 = run_cli(["packs", "add", "light-spec"], project_dir) + assert result1.returncode == 0, result1.stderr + + # Verify it's the built-in pack (no pack.json) + assert not (project_dir / ".rulebook-ai" / "packs" / "light-spec" / "pack.json").exists() + + # 2. Create a local pack with the same name + local_pack_dir = tmp_path / "sample_pack" + local_pack_dir.mkdir() + (local_pack_dir / "manifest.yaml").write_text( + "name: light-spec\nversion: 9.9.9\nsummary: A conflicting local pack\n" + ) + (local_pack_dir / "README.md").write_text("readme") + rules_dir = local_pack_dir / "rules" / "01-rules" + rules_dir.mkdir(parents=True) + (rules_dir / "01-rule.md").write_text("local rule") + + # 3. Attempt to add the conflicting local pack + result2 = run_cli(["packs", "add", f"local:{local_pack_dir}"], project_dir) + + # 4. Assert that the command fails + assert result2.returncode != 0 + assert "already installed from a different source" in result2.stderr + + # 5. Assert that the original built-in pack is untouched + selection = json.loads( + (project_dir / ".rulebook-ai" / "selection.json").read_text() + ) + assert len(selection["packs"]) == 1 + assert selection["packs"][0].get("version") != "9.9.9" # Make sure it's not the new one + assert not ( + project_dir / ".rulebook-ai" / "packs" / "light-spec" / "pack.json" + ).exists() \ No newline at end of file diff --git a/tests/integration/test_packs_list.py b/tests/integration/test_packs_list.py new file mode 100644 index 0000000..21c5262 --- /dev/null +++ b/tests/integration/test_packs_list.py @@ -0,0 +1,10 @@ +import os +def test_packs_list_shows_manifest_info(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + result = run_cli(["packs", "list"], project_dir) + assert result.returncode == 0, result.stderr + assert "light-spec" in result.stdout + assert "v0.1.0" in result.stdout + assert "simplification" in result.stdout diff --git a/tests/integration/test_packs_management.py b/tests/integration/test_packs_management.py new file mode 100644 index 0000000..abe67d8 --- /dev/null +++ b/tests/integration/test_packs_management.py @@ -0,0 +1,58 @@ + +import json + + +def test_add_multiple_packs(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + result = run_cli(["packs", "add", "light-spec", "heavy-spec"], project_dir) + assert result.returncode == 0, result.stderr + + selection = json.loads((project_dir / ".rulebook-ai" / "selection.json").read_text()) + assert [p["name"] for p in selection["packs"]] == ["light-spec", "heavy-spec"] + + +def test_add_nonexistent_pack_fails(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + result = run_cli(["packs", "add", "ghost-pack"], project_dir) + assert result.returncode != 0 + assert "not found" in result.stdout + assert not (project_dir / ".rulebook-ai").exists() + + +def test_remove_pack_updates_selection(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec"], project_dir) + assert run_cli(["packs", "remove", "light-spec"], project_dir).returncode == 0 + + selection = json.loads((project_dir / ".rulebook-ai" / "selection.json").read_text()) + assert selection["packs"] == [] + assert not (project_dir / ".rulebook-ai" / "packs" / "light-spec").exists() + + +def test_remove_pack_does_not_touch_context(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec"], project_dir) + run_cli(["project", "sync", "--assistant", "cursor"], project_dir) + assert (project_dir / "memory" / "docs" / "architecture_template.md").is_file() + assert (project_dir / "tools" / "web_scraper.py").is_file() + + run_cli(["packs", "remove", "light-spec"], project_dir) + assert (project_dir / "memory" / "docs" / "architecture_template.md").is_file() + assert (project_dir / "tools" / "web_scraper.py").is_file() + + +def test_remove_nonexistent_pack_fails(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + result = run_cli(["packs", "remove", "ghost-pack"], project_dir) + assert result.returncode != 0 + assert "not installed" in result.stdout diff --git a/tests/integration/test_packs_status.py b/tests/integration/test_packs_status.py new file mode 100644 index 0000000..308c6d1 --- /dev/null +++ b/tests/integration/test_packs_status.py @@ -0,0 +1,13 @@ +import os +def test_packs_status_lists_library_and_profiles(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec"], project_dir) + run_cli(["profiles", "create", "frontend"], project_dir) + run_cli(["profiles", "add", "light-spec", "--to", "frontend"], project_dir) + + result = run_cli(["packs", "status"], project_dir) + assert result.returncode == 0, result.stderr + assert "light-spec" in result.stdout + assert "frontend" in result.stdout diff --git a/tests/integration/test_profiles.py b/tests/integration/test_profiles.py new file mode 100644 index 0000000..e093819 --- /dev/null +++ b/tests/integration/test_profiles.py @@ -0,0 +1,57 @@ +import json + + +def test_profile_creation_and_sync(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec"], project_dir) + + assert run_cli(["profiles", "create", "frontend"], project_dir).returncode == 0 + assert ( + run_cli(["profiles", "add", "light-spec", "--to", "frontend"], project_dir).returncode + == 0 + ) + + list_out = run_cli(["profiles", "list"], project_dir) + assert "frontend" in list_out.stdout + + result = run_cli( + ["project", "sync", "--profile", "frontend", "--assistant", "cursor"], + project_dir, + ) + assert result.returncode == 0 + + status = json.loads( + (project_dir / ".rulebook-ai" / "sync_status.json").read_text() + ) + assert status["cursor"]["mode"] == "profile" + assert status["cursor"]["profile"] == "frontend" + + +def test_profiles_add_and_remove_packs(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec"], project_dir) + run_cli(["profiles", "create", "frontend"], project_dir) + run_cli(["profiles", "add", "light-spec", "--to", "frontend"], project_dir) + + result = run_cli(["profiles", "remove", "light-spec", "--from", "frontend"], project_dir) + assert result.returncode == 0, result.stderr + + list_out = run_cli(["profiles", "list"], project_dir) + assert "light-spec" not in list_out.stdout + + +def test_profiles_delete(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["profiles", "create", "frontend"], project_dir) + result = run_cli(["profiles", "delete", "frontend"], project_dir) + assert result.returncode == 0 + + selection = json.loads((project_dir / ".rulebook-ai" / "selection.json").read_text()) + assert selection["profiles"] == {} + diff --git a/tests/integration/test_project_clean.py b/tests/integration/test_project_clean.py new file mode 100644 index 0000000..acf7e83 --- /dev/null +++ b/tests/integration/test_project_clean.py @@ -0,0 +1,39 @@ +import json + + +def test_project_clean_requires_confirmation(synced_project, run_cli): + result = run_cli(["project", "clean"], synced_project, input_text="yes\n") + assert result.returncode == 0 + assert not (synced_project / ".rulebook-ai").exists() + assert not (synced_project / "memory").exists() + assert not (synced_project / "tools").exists() + + +def test_project_clean_aborts_on_decline(synced_project, run_cli): + result = run_cli(["project", "clean"], synced_project, input_text="no\n") + assert result.returncode == 0 + assert (synced_project / ".rulebook-ai").exists() + assert (synced_project / "memory").exists() + + +def test_project_clean_rules_preserves_context(synced_project, run_cli): + result = run_cli(["project", "clean-rules"], synced_project) + assert result.returncode == 0 + assert not (synced_project / ".rulebook-ai").exists() + assert not (synced_project / ".cursor").exists() + assert (synced_project / "memory").exists() + assert (synced_project / "tools").exists() + + +def test_project_clean_context_removes_orphans(synced_project, run_cli): + run_cli(["packs", "remove", "light-spec"], synced_project) + assert (synced_project / "memory" / "docs" / "architecture_template.md").is_file() + + result = run_cli( + ["project", "clean-context", "--action", "delete", "--force"], + synced_project, + ) + assert result.returncode == 0 + assert not (synced_project / "memory" / "docs" / "architecture_template.md").exists() + manifest = json.loads((synced_project / ".rulebook-ai" / "file_manifest.json").read_text()) + assert "memory/docs/architecture_template.md" not in manifest diff --git a/tests/integration/test_project_sync.py b/tests/integration/test_project_sync.py new file mode 100644 index 0000000..d81c3ec --- /dev/null +++ b/tests/integration/test_project_sync.py @@ -0,0 +1,88 @@ +import json + + +def test_project_sync_with_pack_flag(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + assert run_cli(["packs", "add", "light-spec"], project_dir).returncode == 0 + assert run_cli(["packs", "add", "heavy-spec"], project_dir).returncode == 0 + + result = run_cli( + ["project", "sync", "--pack", "light-spec", "--assistant", "cursor"], project_dir + ) + assert result.returncode == 0, result.stderr + + arch_file = project_dir / "memory" / "docs" / "architecture_template.md" + assert arch_file.is_file() + + manifest = json.loads( + (project_dir / ".rulebook-ai" / "file_manifest.json").read_text() + ) + assert manifest["memory/docs/architecture_template.md"] == "light-spec" + + status = json.loads( + (project_dir / ".rulebook-ai" / "sync_status.json").read_text() + ) + assert status["cursor"]["mode"] == "pack" + assert status["cursor"]["pack_count"] == 1 + + status_result = run_cli(["project", "status"], project_dir) + assert "cursor" in status_result.stdout + + +def test_project_sync_all_packs(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec", "heavy-spec"], project_dir) + + result = run_cli(["project", "sync", "--assistant", "cursor"], project_dir) + assert result.returncode == 0, result.stderr + manifest = json.loads( + (project_dir / ".rulebook-ai" / "file_manifest.json").read_text() + ) + assert manifest["memory/docs/architecture_template.md"] == "light-spec" + status = json.loads((project_dir / ".rulebook-ai" / "sync_status.json").read_text()) + assert status["cursor"]["pack_count"] == 2 + assert set(status["cursor"]["packs"]) == {"light-spec", "heavy-spec"} + + +def test_project_sync_with_profile(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec", "heavy-spec"], project_dir) + run_cli(["profiles", "create", "frontend"], project_dir) + run_cli(["profiles", "add", "light-spec", "--to", "frontend"], project_dir) + + result = run_cli( + ["project", "sync", "--profile", "frontend", "--assistant", "cursor"], + project_dir, + ) + assert result.returncode == 0, result.stderr + + manifest = json.loads( + (project_dir / ".rulebook-ai" / "file_manifest.json").read_text() + ) + assert manifest["memory/docs/architecture_template.md"] == "light-spec" + status = json.loads((project_dir / ".rulebook-ai" / "sync_status.json").read_text()) + assert status["cursor"]["mode"] == "profile" + assert status["cursor"]["pack_count"] == 1 + assert status["cursor"]["packs"] == ["light-spec"] + + +def test_project_status_reports_last_sync(tmp_path, run_cli): + project_dir = tmp_path / "proj" + project_dir.mkdir() + + run_cli(["packs", "add", "light-spec"], project_dir) + run_cli(["project", "sync", "--assistant", "cursor"], project_dir) + run_cli( + ["project", "sync", "--assistant", "windsurf", "--pack", "light-spec"], + project_dir, + ) + + out = run_cli(["project", "status"], project_dir) + assert "cursor" in out.stdout and "all" in out.stdout + assert "windsurf" in out.stdout and "pack" in out.stdout diff --git a/tests/integration/test_rule_manager_integration.py b/tests/integration/test_rule_manager_integration.py deleted file mode 100644 index 985d085..0000000 --- a/tests/integration/test_rule_manager_integration.py +++ /dev/null @@ -1,73 +0,0 @@ -"""Integration tests for the rulebook_ai.core module.""" - -import os -import tempfile -import shutil -from pathlib import Path -import pytest - -# Import RuleManager using standard import - testing installed package -from rulebook_ai.core import RuleManager - - -@pytest.fixture -def temp_dir(): - """Create a temporary directory for testing.""" - temp_dir = tempfile.mkdtemp() - yield temp_dir - shutil.rmtree(temp_dir) - - -@pytest.fixture -def rule_manager(temp_dir): - """Create a RuleManager instance for testing.""" - # Create a mock project structure in the temp directory - project_root = Path(temp_dir) - - # Create source directories - rule_sets_dir = project_root / "rule_sets" - rule_sets_dir.mkdir() - - test_rule_set = rule_sets_dir / "test-set" - test_rule_set.mkdir() - - # Create a test rule file - with open(test_rule_set / "01-test-rule.md", "w") as f: - f.write("# Test Rule\n\nThis is a test rule.") - - memory_dir = project_root / "memory_starters" - memory_dir.mkdir() - with open(memory_dir / "test-memory.md", "w") as f: - f.write("# Test Memory\n\nThis is a test memory.") - - tools_dir = project_root / "tool_starters" - tools_dir.mkdir() - with open(tools_dir / "test-tool.md", "w") as f: - f.write("# Test Tool\n\nThis is a test tool.") - - # Create a test env.example file - with open(project_root / ".env.example", "w") as f: - f.write("API_KEY=your-api-key-here") - - # Initialize RuleManager with the test project root - manager = RuleManager(project_root=project_root) - return manager - - -def test_install(rule_manager, temp_dir): - """Test the full installation workflow.""" - project_root = Path(temp_dir) - target_dir = project_root / "target" - target_dir.mkdir() - - result = rule_manager.install( - rule_set="test-set", - project_dir=str(target_dir) - ) - - # Verify the end-to-end installation process worked - assert result == 0 - assert (target_dir / "project_rules").exists() - assert (target_dir / "memory").exists() - assert (target_dir / "tools").exists() - assert (target_dir / ".github" / "copilot-instructions.md").exists() diff --git a/tests/integration/test_tools_integration.py b/tests/integration/test_tools_integration.py deleted file mode 100644 index dd20b75..0000000 --- a/tests/integration/test_tools_integration.py +++ /dev/null @@ -1,123 +0,0 @@ -"""Integration test to verify tool installation and functionality. - -Note: These tests run in the tox environment where rulebook-ai is already installed. -They test the CLI functionality and tool management capabilities. -""" -import tempfile -import shutil -from pathlib import Path -import subprocess -import sys -import pytest - - -def test_cli_install_command(): - """Test that the CLI install command works.""" - # Create a temporary project directory - with tempfile.TemporaryDirectory() as temp_dir: - project_dir = Path(temp_dir) - - # Test CLI install command - result = subprocess.run([ - sys.executable, "-m", "rulebook_ai.cli", - "install", "--help" - ], capture_output=True, text=True, cwd=project_dir) - - assert result.returncode == 0, f"CLI install --help failed: {result.stderr}" - assert "install" in result.stdout.lower() - print("✅ CLI install command accessible") - - -def test_cli_list_rules_command(): - """Test that the CLI list-rules command works.""" - with tempfile.TemporaryDirectory() as temp_dir: - project_dir = Path(temp_dir) - - # Test CLI list-rules command - result = subprocess.run([ - sys.executable, "-m", "rulebook_ai.cli", - "list-rules" - ], capture_output=True, text=True, cwd=project_dir) - - # Should succeed or fail gracefully (not crash) - print(f"✅ CLI list-rules command executed (exit code: {result.returncode})") - - -def test_cli_doctor_command(): - """Test that the CLI doctor command works.""" - with tempfile.TemporaryDirectory() as temp_dir: - project_dir = Path(temp_dir) - - # Test CLI doctor command - result = subprocess.run([ - sys.executable, "-m", "rulebook_ai.cli", - "doctor" - ], capture_output=True, text=True, cwd=project_dir) - - # Should succeed or fail gracefully (not crash) - print(f"✅ CLI doctor command executed (exit code: {result.returncode})") - - -def test_rule_manager_functionality(): - """Test that RuleManager can be used programmatically.""" - from rulebook_ai.core import RuleManager - import os - - # Use the test_env directory as specified in the project structure - test_env_dir = Path(__file__).parent.parent.parent / "test_env" / "mock_project" - os.makedirs(test_env_dir, exist_ok=True) - - # Create a RuleManager instance - manager = RuleManager(str(test_env_dir)) - assert manager is not None - - # Test basic functionality - # list_rules now prints to stdout and returns None, so this test is no longer valid. - # This functionality is tested in the CLI integration tests. - manager.list_rules() - - print("✅ RuleManager programmatic access works") - - -def test_package_entry_points(): - """Test that package entry points are properly configured.""" - # Test that the CLI entry point exists - result = subprocess.run([ - "rulebook-ai", "--help" - ], capture_output=True, text=True) - - # Should work if entry point is properly configured - if result.returncode == 0: - print("✅ CLI entry point 'rulebook-ai' works") - assert "rulebook" in result.stdout.lower() - else: - print(f"ℹ️ CLI entry point test skipped (exit code: {result.returncode})") - # This might fail if the entry point isn't in PATH, which is okay for integration tests - - -def test_tool_installation_workflow(): - """Test a basic tool installation workflow.""" - from rulebook_ai.core import RuleManager - import os - - # Use the test_env directory as specified in the project structure - test_env_dir = Path(__file__).parent.parent.parent / "test_env" / "mock_project" - os.makedirs(test_env_dir, exist_ok=True) - - # Create basic project structure - os.makedirs(test_env_dir / "src", exist_ok=True) - os.makedirs(test_env_dir / "tests", exist_ok=True) - - # Initialize RuleManager - manager = RuleManager(str(test_env_dir)) - - # Test that we can query available rules (list_rules now prints to stdout) - try: - manager.list_rules() - print(f"✅ list_rules executed successfully") - except Exception as e: - print(f"ℹ️ Rule listing test: {e}") - - # Test basic directory structure creation - assert test_env_dir.exists() - print("✅ Basic tool installation workflow test completed") diff --git a/tests/unit/test_community_pack_validation.py b/tests/unit/test_community_pack_validation.py new file mode 100644 index 0000000..a3d7504 --- /dev/null +++ b/tests/unit/test_community_pack_validation.py @@ -0,0 +1,80 @@ +import yaml +from pathlib import Path +import pytest + +from rulebook_ai.community_packs import validate_pack_structure + + +def _write_manifest(root: Path, name="demo"): + content = { + "name": name, + "version": "1.0.0", + "summary": "demo pack", + } + (root / "manifest.yaml").write_text(yaml.dump(content)) + + +def _setup_valid_pack(root: Path): + _write_manifest(root) + (root / "README.md").write_text("readme") + rules = root / "rules" + dir1 = rules / "01-rules" + dir1.mkdir(parents=True) + (dir1 / "01-general.md").write_text("rule") + dir2 = rules / "02-rules-code" + dir2.mkdir() + (dir2 / "01-code.md").write_text("code rule") + + +def test_validate_pack_structure_ok(tmp_path): + _setup_valid_pack(tmp_path) + name, manifest = validate_pack_structure(tmp_path) + assert name == "demo" + assert manifest["version"] == "1.0.0" + + +def test_validate_pack_structure_missing_readme(tmp_path): + _write_manifest(tmp_path) + (tmp_path / "rules" / "01-rules").mkdir(parents=True) + (tmp_path / "rules" / "01-rules" / "01-general.md").write_text("rule") + with pytest.raises(ValueError): + validate_pack_structure(tmp_path) + + +def test_validate_pack_structure_invalid_file_prefix(tmp_path): + _setup_valid_pack(tmp_path) + bad_file = tmp_path / "rules" / "02-rules-code" / "code.md" + bad_file.write_text("bad") + with pytest.raises(ValueError): + validate_pack_structure(tmp_path) + + +def test_validate_pack_structure_invalid_extension(tmp_path): + _setup_valid_pack(tmp_path) + bad_file = tmp_path / "rules" / "02-rules-code" / "01-code.txt" + bad_file.write_text("bad") + with pytest.raises(ValueError): + validate_pack_structure(tmp_path) + + +def test_validate_pack_structure_invalid_manifest_name(tmp_path): + _setup_valid_pack(tmp_path) + _write_manifest(tmp_path, name="Bad Name") + with pytest.raises(ValueError): + validate_pack_structure(tmp_path) + + +def test_validate_pack_structure_uppercase_manifest_name(tmp_path): + _setup_valid_pack(tmp_path) + _write_manifest(tmp_path, name="Good-Pack") + name, _ = validate_pack_structure(tmp_path) + assert name == "Good-Pack" + + +def test_validate_pack_structure_duplicate_directory_prefix(tmp_path): + _setup_valid_pack(tmp_path) + dup_dir = tmp_path / "rules" / "02-rules-debug" + dup_dir.mkdir() + (dup_dir / "01-debug.md").write_text("dbg") + with pytest.raises(ValueError): + validate_pack_structure(tmp_path) diff --git a/tests/unit/test_pack_authoring_guide.py b/tests/unit/test_pack_authoring_guide.py new file mode 100644 index 0000000..334a52a --- /dev/null +++ b/tests/unit/test_pack_authoring_guide.py @@ -0,0 +1,10 @@ +from pathlib import Path + +from rulebook_ai.community_packs import validate_pack_structure + + +def test_pack_authoring_guide_is_valid(): + pack_path = Path('src/rulebook_ai/packs/pack-authoring-guide') + name, manifest = validate_pack_structure(pack_path) + assert name == 'pack-authoring-guide' + assert manifest['version'] == '0.1.0' diff --git a/tests/unit/test_rule_manager_pack_logic.py b/tests/unit/test_rule_manager_pack_logic.py new file mode 100644 index 0000000..e58087a --- /dev/null +++ b/tests/unit/test_rule_manager_pack_logic.py @@ -0,0 +1,27 @@ +import sys +from pathlib import Path + +ROOT = Path(__file__).resolve().parents[2] +sys.path.insert(0, str(ROOT / "src")) + +from rulebook_ai.core import RuleManager + +def test_list_packs_reads_manifest(tmp_path, capsys): + """list_packs should read manifest.yaml and print version and summary.""" + # Create a fake pack with manifest + pack_dir = tmp_path / "demo-pack" + pack_dir.mkdir() + (pack_dir / "manifest.yaml").write_text( + "name: demo-pack\nversion: 1.2.3\nsummary: Demo pack for testing\n" + ) + + manager = RuleManager(project_root=str(tmp_path)) + manager.source_packs_dir = tmp_path + + manager.list_packs() + captured = capsys.readouterr().out + + assert "demo-pack" in captured + assert "v1.2.3" in captured + assert "Demo pack for testing" in captured + diff --git a/tests/unit/test_rule_manager_unit.py b/tests/unit/test_rule_manager_unit.py index 88a5828..2515ff2 100644 --- a/tests/unit/test_rule_manager_unit.py +++ b/tests/unit/test_rule_manager_unit.py @@ -96,8 +96,8 @@ def test_strategy_concatenate_files(rule_manager, tmp_path): def test_copy_tree_non_destructive(rule_manager, tmp_path): """ - Verify that the non-destructive copy only adds new files and does not - overwrite existing ones. + Verify that the non-destructive copy only adds new files, does not + overwrite existing ones, and returns a correct map of copied files. """ source_dir = tmp_path / "source" dest_dir = tmp_path / "dest" @@ -113,8 +113,11 @@ def test_copy_tree_non_destructive(rule_manager, tmp_path): (dest_dir / "other_file.txt").write_text("Other") # Execute the copy - count = rule_manager._copy_tree_non_destructive(source_dir, dest_dir) - assert count == 1 # Only one new file should have been copied + copied_files = rule_manager._copy_tree_non_destructive(source_dir, dest_dir, tmp_path) + + # Verify the returned map + assert len(copied_files) == 1 + assert copied_files[0] == "dest/new_file.txt" # Verify destination contents assert (dest_dir / "new_file.txt").is_file() diff --git a/tests/unit/test_state_files.py b/tests/unit/test_state_files.py new file mode 100644 index 0000000..24dabe5 --- /dev/null +++ b/tests/unit/test_state_files.py @@ -0,0 +1,52 @@ +import json +from pathlib import Path + +from rulebook_ai.core import RuleManager, SelectionState + + +def test_selection_json_profiles_schema(tmp_path: Path) -> None: + project_dir = tmp_path / "proj" + project_dir.mkdir() + manager = RuleManager(project_root=str(project_dir)) + state = SelectionState(packs=[], profiles={"frontend": ["light-spec"]}) + manager._save_selection(project_dir, state) + + loaded = manager._load_selection(project_dir) + assert loaded.profiles == {"frontend": ["light-spec"]} + raw = json.loads((project_dir / ".rulebook-ai" / "selection.json").read_text()) + assert raw["profiles"] == {"frontend": ["light-spec"]} + + +def test_sync_status_recording(tmp_path: Path) -> None: + project_dir = tmp_path / "proj" + project_dir.mkdir() + manager = RuleManager(project_root=str(project_dir)) + manager.add_pack("light-spec", project_dir=str(project_dir)) + manager.project_sync(assistants=["cursor"], project_dir=str(project_dir)) + + data = json.loads((project_dir / ".rulebook-ai" / "sync_status.json").read_text()) + assert "cursor" in data + assert data["cursor"]["mode"] == "all" + assert data["cursor"]["packs"] == ["light-spec"] + assert data["cursor"]["pack_count"] == 1 + + +def test_rule_generation_idempotence(tmp_path: Path) -> None: + project_dir = tmp_path / "proj" + project_dir.mkdir() + manager = RuleManager(project_root=str(project_dir)) + manager.add_pack("light-spec", project_dir=str(project_dir)) + manager.project_sync(assistants=["cursor"], project_dir=str(project_dir)) + + manifest_before = (project_dir / ".rulebook-ai" / "file_manifest.json").read_text() + arch_path = project_dir / "memory" / "docs" / "architecture_template.md" + content_before = arch_path.read_text() + + manager.project_sync(assistants=["cursor"], project_dir=str(project_dir)) + + manifest_after = (project_dir / ".rulebook-ai" / "file_manifest.json").read_text() + content_after = arch_path.read_text() + + assert manifest_before == manifest_after + assert content_before == content_after + diff --git a/uv.lock b/uv.lock index 66cad9a..2e79824 100644 --- a/uv.lock +++ b/uv.lock @@ -1445,7 +1445,7 @@ wheels = [ [[package]] name = "rulebook-ai" -version = "0.1.0" +version = "0.2.0" source = { editable = "." } dependencies = [ { name = "anthropic" }, @@ -1456,6 +1456,7 @@ dependencies = [ { name = "openai" }, { name = "playwright" }, { name = "python-dotenv" }, + { name = "pyyaml" }, ] [package.optional-dependencies] @@ -1485,6 +1486,7 @@ requires-dist = [ { name = "pytest-asyncio", marker = "extra == 'dev'", specifier = ">=0.23.5" }, { name = "pytest-cov", marker = "extra == 'dev'", specifier = ">=4.1.0" }, { name = "python-dotenv", specifier = ">=1.0.0" }, + { name = "pyyaml", specifier = ">=6.0" }, { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.0.292" }, { name = "tox", marker = "extra == 'dev'", specifier = ">=4.0.0" }, { name = "unittest2", marker = "extra == 'dev'", specifier = ">=1.1.0" },