Issue #6 completed#21
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## Walkthrough
The updates include refactoring the settings configuration to use uppercase environment variable names and updating Pydantic validators accordingly, as well as adding two new standalone test scripts: one for checking environment dependencies and another for verifying OpenAI API connectivity. No changes were made to application logic or control flow.
## Changes
| File(s) | Change Summary |
|-----------------------------|--------------------------------------------------------------------------------------------------|
| ai-backend/config/settings.py | Refactored: Environment variable names changed from lowercase to uppercase; Pydantic validators updated to match new field names. |
| ai-backend/test_environment.py | Added: Script to test importability of key dependencies and print results. |
| ai-backend/test_openai.py | Added: Script to test OpenAI API connectivity using environment variable for API key. |
## Poem
> In the warren, settings shine bright,
> With uppercase names in the morning light.
> New tests hop in, dependencies checked,
> OpenAI’s voice, now easy to detect.
> The code hops forward, clean and spry—
> A rabbit’s work, with a twinkle in its eye! 🐇✨📜 Recent review detailsConfiguration used: CodeRabbit UI 📒 Files selected for processing (3)
🚧 Files skipped from review as they are similar to previous changes (3)
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Actionable comments posted: 0
🧹 Nitpick comments (2)
ai-backend/test_environment.py (1)
17-22: Fix misleading success message.The import is from a local
agents.researchermodule, not an "OpenAI Agents package".- print("✅ OpenAI Agents package imported successfully") + print("✅ Research Agent imported successfully")ai-backend/test_openai.py (1)
16-16: Inconsistent placeholder check with settings validation.The placeholder check uses
"your_openai_api_key_here"but the settings validator inai-backend/config/settings.pychecks for"your-openai-api-key"and"sk-...". Consider aligning these checks.- if not os.getenv("OPENAI_API_KEY") or os.getenv("OPENAI_API_KEY") == "your_openai_api_key_here": + if not os.getenv("OPENAI_API_KEY") or os.getenv("OPENAI_API_KEY") in ["your-openai-api-key", "sk-...", "your_openai_api_key_here"]:
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📒 Files selected for processing (3)
ai-backend/config/settings.py(4 hunks)ai-backend/test_environment.py(1 hunks)ai-backend/test_openai.py(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (1)
ai-backend/test_environment.py (1)
ai-backend/agents/researcher.py (1)
ResearchAgent(16-72)
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- GitHub Check: Codacy Static Code Analysis
🔇 Additional comments (7)
ai-backend/config/settings.py (4)
11-12: LGTM! Modern Pydantic v2 imports.The migration from
@validatorto@field_validatorand usingSettingsConfigDictcorrectly adopts Pydantic v2 patterns.
59-100: LGTM! Proper Pydantic v2 validator migration.The validators are correctly updated to use
@field_validatorwith@classmethoddecorator, which is the proper Pydantic v2 syntax.
118-120: LGTM! Modern model configuration.The migration from nested
Configclass tomodel_configattribute usingSettingsConfigDictis the correct Pydantic v2 approach.
24-31: Environment variable references are consistentAll checks confirm that the codebase exclusively uses the updated uppercase names (OPENAI_API_KEY, SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY, RAPIDAPI_KEY). No legacy lowercase references remain.
• Verified in scripts/seed-data.py
• Verified in ai-backend/test_openai.py
• Verified in ai-backend/tools/sports_apis.pyai-backend/test_environment.py (1)
1-67: LGTM! Good environment validation script.This script provides valuable dependency checking for the development environment. The structure is clear and the error handling is appropriate.
ai-backend/test_openai.py (2)
1-39: LGTM! Useful API connectivity test.This script provides valuable OpenAI API connection validation and properly uses the updated uppercase environment variable naming.
23-23: Model name “gpt-4.1-nano” is validOpenAI’s official model list includes “GPT-4.1 nano,” so no change to the test is needed.
1 participant
Description
Python Development Environment Setup & Validation
Setup Supabase and create tables with SQLAlchemy for seeding data
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Summary by CodeRabbit
Summary by CodeRabbit
New Features
Refactor