From 7089c8266080b32ea857d187106565dec478a318 Mon Sep 17 00:00:00 2001 From: Mamoutou Diarra Date: Mon, 15 Jun 2026 04:10:39 +0200 Subject: [PATCH 1/7] extend skeleton --- dst_dashboard/README.md | 34 ++++ dst_dashboard/__init__.py | 1 + dst_dashboard/api/__init__.py | 1 + dst_dashboard/api/datasets.py | 21 +++ dst_dashboard/api/experiments.py | 38 +++++ dst_dashboard/api/panels.py | 27 ++++ .../experiment_descriptors/__init__.py | 1 + .../experiment_descriptors/data_structures.py | 94 +++++++++++ dst_dashboard/main.py | 44 ++++++ dst_dashboard/processors/__init__.py | 1 + dst_dashboard/processors/dataset_processor.py | 24 +++ dst_dashboard/processors/panel_processor.py | 16 ++ dst_dashboard/sample_config.yaml | 135 ++++++++++++++++ dst_dashboard/storage/__init__.py | 1 + dst_dashboard/storage/db.py | 149 ++++++++++++++++++ pyproject.toml | 3 + uv.lock | 72 ++++++++- 17 files changed, 659 insertions(+), 3 deletions(-) create mode 100644 dst_dashboard/README.md create mode 100644 dst_dashboard/__init__.py create mode 100644 dst_dashboard/api/__init__.py create mode 100644 dst_dashboard/api/datasets.py create mode 100644 dst_dashboard/api/experiments.py create mode 100644 dst_dashboard/api/panels.py create mode 100644 dst_dashboard/experiment_descriptors/__init__.py create mode 100644 dst_dashboard/experiment_descriptors/data_structures.py create mode 100644 dst_dashboard/main.py create mode 100644 dst_dashboard/processors/__init__.py create mode 100644 dst_dashboard/processors/dataset_processor.py create mode 100644 dst_dashboard/processors/panel_processor.py create mode 100644 dst_dashboard/sample_config.yaml create mode 100644 dst_dashboard/storage/__init__.py create mode 100644 dst_dashboard/storage/db.py diff --git a/dst_dashboard/README.md b/dst_dashboard/README.md new file mode 100644 index 00000000..f2daf4ec --- /dev/null +++ b/dst_dashboard/README.md @@ -0,0 +1,34 @@ +# DST Dashboard + +Web-based experiment publication and visualization tool. + +## Quick Start + +```bash +# Run API server +uvicorn dst_dashboard.main:app --reload + +# API available at http://localhost:8000 +# Swagger UI at http://localhost:8000/api/docs +``` + +## Environment Variables + +```bash +export EMBEDDED_DB_PATH=~/.cache/dst_dashboard # Optional, default location +``` + +## Structure + +``` +dst_dashboard/ +├── main.py # FastAPI app entry +├── experiment_descriptors/ # YAML config models +├── processors/ # Data fetching/transformation (skeleton) +├── storage/ # MontyDB cache +└── api/ # FastAPI REST endpoints +``` + +## Status + +🚧 Skeleton implementation - reuses 10ksim classes (DataPuller, Scrapper, DataHandler) \ No newline at end of file diff --git a/dst_dashboard/__init__.py b/dst_dashboard/__init__.py new file mode 100644 index 00000000..3dc1f76b --- /dev/null +++ b/dst_dashboard/__init__.py @@ -0,0 +1 @@ +__version__ = "0.1.0" diff --git a/dst_dashboard/api/__init__.py b/dst_dashboard/api/__init__.py new file mode 100644 index 00000000..d93703a9 --- /dev/null +++ b/dst_dashboard/api/__init__.py @@ -0,0 +1 @@ +"""FastAPI REST for DST Dashboard.""" diff --git a/dst_dashboard/api/datasets.py b/dst_dashboard/api/datasets.py new file mode 100644 index 00000000..7271d196 --- /dev/null +++ b/dst_dashboard/api/datasets.py @@ -0,0 +1,21 @@ +"""Dataset API routes.""" +from typing import Any, Dict, List +from fastapi import APIRouter, HTTPException +from dst_dashboard.storage.db import DSTDatabase + +router = APIRouter( + prefix="/experiments/{experiment_id}/datasets", tags=["datasets"] +) +db = DSTDatabase() + + +@router.get("/{dataset_name}", response_model=List[Dict[str, Any]]) +async def get_dataset(experiment_id: str, dataset_name: str): + """Get dataset data. + + TODO: Use DatasetProcessor + """ + data = db.get_dataset(experiment_id, dataset_name) + if data is None: + raise HTTPException(status_code=404, detail="Dataset not found") + return data diff --git a/dst_dashboard/api/experiments.py b/dst_dashboard/api/experiments.py new file mode 100644 index 00000000..50c87dbe --- /dev/null +++ b/dst_dashboard/api/experiments.py @@ -0,0 +1,38 @@ +from typing import Any, Dict, List, Optional +from fastapi import APIRouter, HTTPException, Query +from dst_dashboard.storage.db import DSTDatabase + +router = APIRouter(prefix="/experiments", tags=["experiments"]) +db = DSTDatabase() + + +@router.get("", response_model=List[Dict[str, Any]]) +async def list_experiments(publish: Optional[bool] = Query(None, description="Filter by publish status")): + """List all experiments. Use ?publish=true to filter only published experiments.""" + # TODO: Implement experiment listing + experiments = db.list_experiments() + + # Filter by publish status if specified + if publish is not None: + experiments = [exp for exp in experiments if exp.get("publish") == publish] + + return [ + { + "id": exp["id"], + "title": exp["title"], + "family": exp["family"], + "metadata": exp["metadata"], + "publish": exp.get("publish", True), + } + for exp in experiments + ] + + +@router.get("/{experiment_id}", response_model=Dict[str, Any]) +async def get_experiment(experiment_id: str): + """Get experiment details.""" + # TODO: Implement experiment retrieval + experiment = db.get_experiment(experiment_id) + if not experiment: + raise HTTPException(status_code=404, detail="Experiment not found") + return experiment diff --git a/dst_dashboard/api/panels.py b/dst_dashboard/api/panels.py new file mode 100644 index 00000000..ffbaf81f --- /dev/null +++ b/dst_dashboard/api/panels.py @@ -0,0 +1,27 @@ +"""Panel API routes.""" +from typing import Any, Dict +from fastapi import APIRouter, HTTPException +from dst_dashboard.storage.db import DSTDatabase + +router = APIRouter(prefix="/experiments/{experiment_id}/panels", tags=["panels"]) +db = DSTDatabase() + +@router.get("", response_model=Dict[str, Any]) +async def list_panels(experiment_id: str): + """List all panels for an experiment.""" + # TODO: Implement panel listing + panels = db.list_panels(experiment_id) + if panels is None: + raise HTTPException(status_code=404, detail="Panels not found") + return panels + +@router.get("/{panel_name}", response_model=Dict[str, Any]) +async def get_panel_data(experiment_id: str, panel_name: str): + """Get transformed panel data for visualization. + + TODO: Use PanelProcessor + """ + data = db.get_panel_data(experiment_id, panel_name) + if data is None: + raise HTTPException(status_code=404, detail="Panel data not found") + return data diff --git a/dst_dashboard/experiment_descriptors/__init__.py b/dst_dashboard/experiment_descriptors/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/dst_dashboard/experiment_descriptors/__init__.py @@ -0,0 +1 @@ + diff --git a/dst_dashboard/experiment_descriptors/data_structures.py b/dst_dashboard/experiment_descriptors/data_structures.py new file mode 100644 index 00000000..2fc6ffb6 --- /dev/null +++ b/dst_dashboard/experiment_descriptors/data_structures.py @@ -0,0 +1,94 @@ +from datetime import datetime +from typing import Any, Dict, List, Literal, Optional +from pydantic import BaseModel, Field + + +class TimeRange(BaseModel): + """Time range for data queries.""" + start: datetime + end: datetime + + +class DataSourceConfig(BaseModel): + """Global datasource configuration.""" + name: str + type: Literal["VictoriaLogs", "Prometheus"] + url: str + + +class DatasetQuery(BaseModel): + """Query configuration for a dataset.""" + namespace: Optional[str] = None + tracer: Optional[str] = None # For logs: nimlibp2p, kad_dht, waku + pattern: Optional[str] = None # For logs: received, lookup, etc. + expr: Optional[str] = None # For metrics: PromQL expression + step: Optional[str] = None # For metrics: step interval + + +class SchemaField(BaseModel): + """Schema field definition.""" + name: str + type: Literal["datetime", "string", "float", "integer", "boolean"] + + +class DatasetConfig(BaseModel): + """Dataset configuration - raw data from datasources.""" + name: str + datasource: str # References global datasource by name + timeRange: TimeRange + query: DatasetQuery + schema: List[SchemaField] + + +class DeriveField(BaseModel): + """Derived field transformation in panel.""" + name: str + function: str # regex_match, aggregate, etc. + field: str # Source field + pattern: Optional[str] = None # For regex + match: Optional[str] = None # Regex match value + no_match: Optional[str] = None # Regex no-match value + + +class PanelTransform(BaseModel): + """Panel transformation configuration.""" + derive: Optional[List[DeriveField]] = None + groupBy: Optional[str] = None + value: Optional[str] = None + x: Optional[str] = None + y: Optional[str] = None + top: Optional[int] = None + + +class PanelStyle(BaseModel): + """Panel style configuration.""" + yLabel: Optional[str] = None + xLabel: Optional[str] = None + yUnit: Optional[str] = None + yMin: Optional[float] = None + yMax: Optional[float] = None + + +class PanelConfig(BaseModel): + name: str + title: str + type: Literal["boxplot", "timeseries", "histogram", "bar", "table"] + dataset: str # References dataset by name + transform: PanelTransform + style: Optional[PanelStyle] = None + publish: bool # Whether to show on UI + + +class ExperimentConfig(BaseModel): + id: str + title: str + family: str + metadata: Dict[str, Any] # Flexible metadata from 10ksim + datasets: List[DatasetConfig] + panels: List[PanelConfig] + publish: bool # Whether to show on UI + + +class DashboardFullConfig(BaseModel): + datasources: List[DataSourceConfig] + experiments: List[ExperimentConfig] diff --git a/dst_dashboard/main.py b/dst_dashboard/main.py new file mode 100644 index 00000000..bc056ba9 --- /dev/null +++ b/dst_dashboard/main.py @@ -0,0 +1,44 @@ +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from dst_dashboard.api import experiments, datasets, panels + +app = FastAPI( + title="DST Dashboard API", + description="REST API for DST Dashboard", + version="0.1.0", + docs_url="/api/docs", + redoc_url="/api/redoc", + openapi_url="/api/openapi.json", +) + +# Enable CORS for frontend +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Include routers +app.include_router(experiments.router) +app.include_router(datasets.router) +app.include_router(panels.router) + + +@app.get("/") +async def root(): + return { + "service": "DST Dashboard API", + "version": "0.1.0", + "swagger": "/api/docs", + "redoc": "/api/redoc", + "openapi": "/api/openapi.json", + } + + +if __name__ == "__main__": + import uvicorn + + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/dst_dashboard/processors/__init__.py b/dst_dashboard/processors/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/dst_dashboard/processors/__init__.py @@ -0,0 +1 @@ + diff --git a/dst_dashboard/processors/dataset_processor.py b/dst_dashboard/processors/dataset_processor.py new file mode 100644 index 00000000..ca7b1c1b --- /dev/null +++ b/dst_dashboard/processors/dataset_processor.py @@ -0,0 +1,24 @@ +"""Dataset processor - fetches data using 10ksim classes. + +Skeleton implementation. +""" +import logging + +logger = logging.getLogger(__name__) + + +class DatasetProcessor: + """Fetches datasets using DataPuller or Scrapper.""" + + def __init__(self, experiment_config, datasources): + self.experiment_config = experiment_config + self.datasources = datasources + + def fetch_dataset(self, dataset_config): + """ + TODO: + - Use DataPuller for VictoriaLogs + - Use Scrapper for Prometheus + """ + logger.warning(f"fetch_dataset not implemented: {dataset_config.name}") + return [] diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py new file mode 100644 index 00000000..a7944bbc --- /dev/null +++ b/dst_dashboard/processors/panel_processor.py @@ -0,0 +1,16 @@ +"""Panel processor - transforms data using 10ksim classes. + +Skeleton implementation. +""" +import logging + +logger = logging.getLogger(__name__) + + +class PanelProcessor: + + def transform(self, df, panel_config): + """Transform DataFrame for visualization. + """ + logger.warning(f"transform not implemented: {panel_config.name}") + return {} diff --git a/dst_dashboard/sample_config.yaml b/dst_dashboard/sample_config.yaml new file mode 100644 index 00000000..152370e3 --- /dev/null +++ b/dst_dashboard/sample_config.yaml @@ -0,0 +1,135 @@ +# DST Explorer Configuration +# Global datasources - defined once, referenced by all experiments + +datasources: + - name: victoria-logs + type: VictoriaLogs + url: https://vlselect.lab.vac.dev/select/logsql/query + + - name: victoria-metrics + type: Prometheus + url: https://metrics.lab.vac.dev/select/0/prometheus/api/v1/ + +# Experiments - each experiment is a page with multiple panels +experiments: + - id: gossipsub-pq-s1-2026-06-12 + title: "GossipSub Priority Queues: Medium Queue Overflow" + family: libp2p/gossipsub + publish: true + + metadata: + scenario: S1 + namespace: libp2p-lab + date: "2026-06-12" + num_normal_nodes: 1 + num_slow_nodes: 1 + # Stack info for data fetching (from 10ksim metadata.json) + statefulsets: ["nimp2p", "nimp2p-slow"] + nodes: [1, 1] + + datasets: + - name: message-delays + datasource: victoria-logs + timeRange: + start: "2026-06-12T17:40:30Z" + end: "2026-06-12T17:53:02Z" + query: + namespace: libp2p-lab + tracer: nimlibp2p + pattern: received + schema: + - name: timestamp + type: datetime + - name: pod_name + type: string + - name: delayMs + type: float + + - name: queue-drops + datasource: victoria-metrics + timeRange: + start: "2026-06-12T17:40:30Z" + end: "2026-06-12T17:53:02Z" + query: + expr: rate(libp2p_gossipsub_priority_queue_dropped_total{priority="medium",namespace="libp2p-lab"}[1m]) + step: 15s + scrapeInterval: 10s + schema: + - name: timestamp + type: datetime + - name: instance + type: string + - name: value + type: float + + panels: + - name: delay-boxplot + title: Message Delivery Delay Distribution + type: boxplot + dataset: message-delays + publish: true + transform: + derive: + - name: pod_group + function: regex_match + field: pod_name + pattern: ".*slow.*" + match: slow + no_match: normal + groupBy: pod_group + value: delayMs + + - name: medium-queue-drops + title: Medium Queue Drops Over Time + type: timeseries + dataset: queue-drops + publish: true + transform: + x: timestamp + y: value + style: + yLabel: Drops/sec + + - id: nimlibp2p-delay-2026-06-15 + title: "Nimlibp2p Message Delivery Performance" + family: libp2p/nimlibp2p + publish: true + + metadata: + namespace: nimlibp2p + num_nodes: 20 + statefulsets: ["nodes"] + nodes: [20] + + datasets: + - name: message-delays + datasource: victoria-logs + timeRange: + start: "2026-06-15T10:00:00Z" + end: "2026-06-15T10:15:00Z" + query: + namespace: nimlibp2p + tracer: nimlibp2p + pattern: received + schema: + - name: timestamp + type: datetime + - name: pod_name + type: string + - name: delayMs + type: float + + panels: + - name: delay-by-peer + title: Message Delivery Delay by Peer (Top 10) + type: boxplot + dataset: message-delays + publish: true + transform: + groupBy: pod_name + value: delayMs + top: 10 + + + + diff --git a/dst_dashboard/storage/__init__.py b/dst_dashboard/storage/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/dst_dashboard/storage/__init__.py @@ -0,0 +1 @@ + diff --git a/dst_dashboard/storage/db.py b/dst_dashboard/storage/db.py new file mode 100644 index 00000000..97d38247 --- /dev/null +++ b/dst_dashboard/storage/db.py @@ -0,0 +1,149 @@ +"""MontyDB database client for storing experiments and datasets. + +Uses MontyDB (embedded MongoDB-compatible database) as cache storage. +""" + +import os +from pathlib import Path +from typing import Any, Dict, List, Optional + +from montydb import MontyClient, set_storage + + +class DSTDatabase: + """Database client for DST Dashboard using MontyDB.""" + + def __init__(self, db_path: Optional[Path] = None): + """Initialize MontyDB client. + + Args: + db_path: Path to database directory. Defaults to DST_DB_PATH env var or ~/.cache/dst_dashboard + """ + if db_path is None: + db_path_str = os.getenv("EMBEDDED_DB_PATH", str(Path.home() / ".cache" / "dst_dashboard")) + db_path = Path(db_path_str) + + db_path.mkdir(parents=True, exist_ok=True) + + # Configure MontyDB storage + set_storage(str(db_path), storage="sqlite") + + self.client = MontyClient(str(db_path)) + self.db = self.client.dst_dashboard + + # Collections + self.experiments = self.db.experiments + self.datasets = self.db.datasets + self.panels = self.db.panels + + def store_experiment(self, experiment: Dict[str, Any]) -> str: + """Store experiment configuration. + + Args: + experiment: Experiment config dict + + Returns: + Experiment ID + """ + result = self.experiments.update_one( + {"id": experiment["id"]}, {"$set": experiment}, upsert=True + ) + return experiment["id"] + + def get_experiment(self, experiment_id: str) -> Optional[Dict[str, Any]]: + """Get experiment by ID. + + Args: + experiment_id: Experiment ID + + Returns: + Experiment dict or None + """ + return self.experiments.find_one({"id": experiment_id}, {"_id": 0}) + + def list_experiments(self) -> List[Dict[str, Any]]: + """List all experiments. + + Returns: + List of experiment dicts + """ + return list(self.experiments.find({}, {"_id": 0})) + + def store_dataset( + self, experiment_id: str, dataset_name: str, data: List[Dict[str, Any]] + ) -> str: + """Store dataset data. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + data: List of data rows + + Returns: + Dataset ID + """ + dataset_id = f"{experiment_id}:{dataset_name}" + dataset_doc = { + "id": dataset_id, + "experiment_id": experiment_id, + "name": dataset_name, + "data": data, + "row_count": len(data), + } + self.datasets.update_one({"id": dataset_id}, {"$set": dataset_doc}, upsert=True) + return dataset_id + + def get_dataset( + self, experiment_id: str, dataset_name: str + ) -> Optional[List[Dict[str, Any]]]: + """Get dataset data. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + + Returns: + List of data rows or None + """ + dataset_id = f"{experiment_id}:{dataset_name}" + doc = self.datasets.find_one({"id": dataset_id}, {"_id": 0}) + return doc["data"] if doc else None + + def store_panel_data( + self, experiment_id: str, panel_name: str, data: Dict[str, Any] + ) -> str: + """Store transformed panel data. + + Args: + experiment_id: Experiment ID + panel_name: Panel name + data: Transformed data for frontend + + Returns: + Panel data ID + """ + panel_id = f"{experiment_id}:{panel_name}" + panel_doc = { + "id": panel_id, + "experiment_id": experiment_id, + "name": panel_name, + "data": data, + } + self.panels.update_one({"id": panel_id}, {"$set": panel_doc}, upsert=True) + return panel_id + + def get_panel_data( + self, experiment_id: str, panel_name: str + ) -> Optional[Dict[str, Any]]: + """Get transformed panel data. + + Args: + experiment_id: Experiment ID + panel_name: Panel name + + Returns: + Panel data dict or None + """ + panel_id = f"{experiment_id}:{panel_name}" + doc = self.panels.find_one({"id": panel_id}, {"_id": 0}) + return doc["data"] if doc else None diff --git a/pyproject.toml b/pyproject.toml index 414e6086..d7a869b7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,6 +16,9 @@ dependencies = [ "result>=0.17.0", "ruamel-yaml==0.17.21", "seaborn>=0.13.2", + "fastapi>=0.115.0", + "uvicorn>=0.34.0", + "montydb>=2.5.3", ] [dependency-groups] diff --git a/uv.lock b/uv.lock index 316b81ef..3d3e51a0 100644 --- a/uv.lock +++ b/uv.lock @@ -13,9 +13,11 @@ source = { virtual = "." } dependencies = [ { name = "aiohttp" }, { name = "dateparser" }, + { name = "fastapi" }, { name = "httpx" }, { name = "humanfriendly" }, { name = "kubernetes" }, + { name = "montydb" }, { name = "pandas" }, { name = "pydantic" }, { name = "pyyaml" }, @@ -23,6 +25,7 @@ dependencies = [ { name = "result" }, { name = "ruamel-yaml" }, { name = "seaborn" }, + { name = "uvicorn" }, ] 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dst_dashboard/api/panels.py | 237 +- dst_dashboard/api/response_models.py | 30 + dst_dashboard/api/utils.py | 132 + .../__init__.py | 0 dst_dashboard/config/constants.py | 25 + .../data_structures.py | 23 +- dst_dashboard/config/utils.py | 12 + dst_dashboard/frontend/.dockerignore | 34 + dst_dashboard/frontend/Dockerfile | 45 + dst_dashboard/frontend/nginx.conf | 36 + dst_dashboard/frontend/package-lock.json | 18880 ++++++++++++++++ dst_dashboard/frontend/package.json | 42 + dst_dashboard/frontend/public/index.html | 17 + dst_dashboard/frontend/src/App.css | 798 + dst_dashboard/frontend/src/App.js | 27 + .../frontend/src/components/Sidebar.js | 87 + dst_dashboard/frontend/src/config.js | 13 + dst_dashboard/frontend/src/index.css | 25 + dst_dashboard/frontend/src/index.js | 13 + .../frontend/src/pages/ExperimentPage.js | 211 + .../src/pages/ExperimentPage_backup.js | 231 + dst_dashboard/frontend/src/pages/HomePage.js | 202 + .../frontend/src/pages/HomePage.js.backup | 380 + dst_dashboard/k8s/backend.yaml | 341 + dst_dashboard/k8s/frontend.yaml | 70 + dst_dashboard/main.py | 104 +- dst_dashboard/processors/dataset_processor.py | 378 +- .../processors/experiment_processor.py | 186 + dst_dashboard/processors/panel_processor.py | 658 +- dst_dashboard/sample_config.yaml | 180 +- dst_dashboard/storage/db.py | 180 +- inspect_db.py | 46 + test_dashboard.py | 135 + 42 files changed, 24417 insertions(+), 113 deletions(-) create mode 100644 .vscode/settings.json create mode 100644 dst_dashboard/.dockerignore create mode 100644 dst_dashboard/Dockerfile create mode 100644 dst_dashboard/api/admin.py create mode 100644 dst_dashboard/api/datasources.py create mode 100644 dst_dashboard/api/response_models.py create mode 100644 dst_dashboard/api/utils.py rename dst_dashboard/{experiment_descriptors => config}/__init__.py (100%) create mode 100644 dst_dashboard/config/constants.py rename dst_dashboard/{experiment_descriptors => config}/data_structures.py (68%) create mode 100644 dst_dashboard/config/utils.py create mode 100644 dst_dashboard/frontend/.dockerignore create mode 100644 dst_dashboard/frontend/Dockerfile create mode 100644 dst_dashboard/frontend/nginx.conf create mode 100644 dst_dashboard/frontend/package-lock.json create mode 100644 dst_dashboard/frontend/package.json create mode 100644 dst_dashboard/frontend/public/index.html create mode 100644 dst_dashboard/frontend/src/App.css create mode 100644 dst_dashboard/frontend/src/App.js create mode 100644 dst_dashboard/frontend/src/components/Sidebar.js create mode 100644 dst_dashboard/frontend/src/config.js create mode 100644 dst_dashboard/frontend/src/index.css create mode 100644 dst_dashboard/frontend/src/index.js create mode 100644 dst_dashboard/frontend/src/pages/ExperimentPage.js create mode 100644 dst_dashboard/frontend/src/pages/ExperimentPage_backup.js create mode 100644 dst_dashboard/frontend/src/pages/HomePage.js create mode 100644 dst_dashboard/frontend/src/pages/HomePage.js.backup create mode 100644 dst_dashboard/k8s/backend.yaml create mode 100644 dst_dashboard/k8s/frontend.yaml create mode 100644 dst_dashboard/processors/experiment_processor.py create mode 100644 inspect_db.py create mode 100644 test_dashboard.py diff --git a/.gitignore b/.gitignore index 9b4133f2..0208049d 100755 --- a/.gitignore +++ b/.gitignore @@ -5,6 +5,12 @@ __pycache__/ .coverage htmlcov/ +# Node.js +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* + # Mac **/.DS_Store diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 00000000..4b5a2944 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,4 @@ +{ + "python-envs.defaultEnvManager": "ms-python.python:conda", + "python-envs.defaultPackageManager": "ms-python.python:conda" +} \ No newline at end of file diff --git a/dst_dashboard/.dockerignore b/dst_dashboard/.dockerignore new file mode 100644 index 00000000..91dff79f --- /dev/null +++ b/dst_dashboard/.dockerignore @@ -0,0 +1,59 @@ +# Python +__pycache__ +*.py[cod] +*$py.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# Virtual environments +venv/ +ENV/ +env/ + +# Testing +.pytest_cache/ +.coverage +htmlcov/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# Git +.git/ +.gitignore + +# Node (for frontend) +node_modules/ +dst_dashboard/frontend/node_modules/ +dst_dashboard/frontend/build/ + +# Database +*.db +*.sqlite +.cache/ + +# Logs +*.log diff --git a/dst_dashboard/Dockerfile b/dst_dashboard/Dockerfile new file mode 100644 index 00000000..8f8682fb --- /dev/null +++ b/dst_dashboard/Dockerfile @@ -0,0 +1,28 @@ +FROM python:3.11-slim + +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +# Copy project files +COPY pyproject.toml . +COPY src/ ./src/ +COPY dst_dashboard/ ./dst_dashboard/ + +# Install uv for faster dependency installation +RUN pip install --no-cache-dir uv + +# Install dependencies +RUN uv pip install --system --no-cache -r pyproject.toml + +# Create database directory +RUN mkdir -p /app/data + +# Expose port +EXPOSE 8000 + +# Run the application +CMD ["uvicorn", "dst_dashboard.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/dst_dashboard/README.md b/dst_dashboard/README.md index f2daf4ec..c7ddcdd6 100644 --- a/dst_dashboard/README.md +++ b/dst_dashboard/README.md @@ -15,7 +15,7 @@ uvicorn dst_dashboard.main:app --reload ## Environment Variables ```bash -export EMBEDDED_DB_PATH=~/.cache/dst_dashboard # Optional, default location +export DST_DB_PATH=~/.cache/dst_dashboard # Optional, default location ``` ## Structure @@ -24,11 +24,7 @@ export EMBEDDED_DB_PATH=~/.cache/dst_dashboard # Optional, default location dst_dashboard/ ├── main.py # FastAPI app entry ├── experiment_descriptors/ # YAML config models -├── processors/ # Data fetching/transformation (skeleton) +├── processors/ # Data fetching/transformation ├── storage/ # MontyDB cache └── api/ # FastAPI REST endpoints -``` - -## Status - -🚧 Skeleton implementation - reuses 10ksim classes (DataPuller, Scrapper, DataHandler) \ No newline at end of file +``` \ No newline at end of file diff --git a/dst_dashboard/api/admin.py b/dst_dashboard/api/admin.py new file mode 100644 index 00000000..5102658f --- /dev/null +++ b/dst_dashboard/api/admin.py @@ -0,0 +1,206 @@ +"""Admin API routes for configuration and data management.""" + +from fastapi import APIRouter, Request, HTTPException +import logging + +from dst_dashboard.config.utils import LoadConfig +from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.processors.experiment_processor import ExperimentProcessor + +router = APIRouter(prefix="/admin", tags=["admin"]) +logger = logging.getLogger(__name__) + + +@router.post("/reload") +async def reload_config(request: Request): + """ + Reload configuration from file and re-process all experiments. + + This will: + 1. Reload the config file + 2. Clear and re-insert datasources + 3. Re-process all experiments (fetch datasets, store panels) + + Returns: + Summary of reloaded data + """ + try: + logger.info("Reloading configuration...") + + # Load and validate configuration + config = LoadConfig().WithValidateDatasources() + logger.info( + f"Reloaded configuration with {len(config.datasources)} datasources " + f"and {len(config.experiments)} experiments" + ) + + # Update app state + request.app.state.config = config + request.app.state.datasources = config.datasources + + # Initialize database + db = DSTDatabase() + + # Clear and re-insert datasources + db.datasources.delete_many({}) + db.insert_datasource_list(config.datasources) + logger.info(f"Re-inserted {len(config.datasources)} datasources") + + # Initialize experiment processor + processor = ExperimentProcessor(config, db) + + # Process all experiments + results = processor.process_all_experiments() + + logger.info( + f"Configuration reload completed: " + f"{len(results['processed_experiments'])}/{results['total_experiments']} experiments processed" + ) + + return { + "status": "success", + "message": "Configuration reloaded successfully", + "summary": { + "datasources": len(config.datasources), + "experiments_total": results['total_experiments'], + "experiments_processed": len(results['processed_experiments']), + "experiments_failed": len(results['failed_experiments']), + }, + "details": results + } + + except Exception as e: + logger.error(f"Failed to reload configuration: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to reload configuration: {str(e)}" + ) + + +@router.delete("/datasets/{experiment_id}/{dataset_name}") +async def clear_dataset(experiment_id: str, dataset_name: str): + """ + Clear cached dataset data to force re-fetch on next request. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + + Returns: + Deletion confirmation + """ + try: + db = DSTDatabase() + dataset_id = f"{experiment_id}:{dataset_name}" + + result = db.datasets.delete_one({"id": dataset_id}) + + if result.deleted_count > 0: + logger.info(f"Cleared dataset: {dataset_id}") + return { + "status": "success", + "message": f"Dataset '{dataset_name}' cleared successfully" + } + else: + raise HTTPException( + status_code=404, + detail=f"Dataset '{dataset_name}' not found" + ) + + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to clear dataset: {e}") + raise HTTPException( + status_code=500, + detail=f"Failed to clear dataset: {str(e)}" + ) + + +@router.delete("/datasets") +async def clear_all_datasets(): + """ + Clear all cached dataset data to force re-fetch. + + Returns: + Deletion confirmation + """ + try: + db = DSTDatabase() + result = db.datasets.delete_many({}) + + logger.info(f"Cleared {result.deleted_count} datasets") + + return { + "status": "success", + "message": f"Cleared {result.deleted_count} datasets successfully" + } + + except Exception as e: + logger.error(f"Failed to clear datasets: {e}") + raise HTTPException( + status_code=500, + detail=f"Failed to clear datasets: {str(e)}" + ) + + +@router.post("/experiments/{experiment_id}/reprocess") +async def reprocess_experiment(experiment_id: str, request: Request): + """ + Reprocess a single experiment - fetch datasets and regenerate panels. + + This will: + 1. Get experiment config from database + 2. Fetch all datasets + 3. Transform and store all panels + + Args: + experiment_id: Experiment ID to reprocess + + Returns: + Reprocessing results + """ + try: + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if not experiment_data: + raise HTTPException(status_code=404, detail="Experiment not found") + + # Get config from app state + config = request.app.state.config + + # Initialize processor + from dst_dashboard.config.data_structures import ExperimentConfig + processor = ExperimentProcessor(config, db) + + experiment = ExperimentConfig(**experiment_data) + + logger.info(f"Reprocessing experiment: {experiment_id}") + + # Process the experiment (this will fetch datasets and transform panels) + success = processor.process_experiment(experiment) + + if success: + return { + "status": "success", + "message": f"Experiment '{experiment_id}' reprocessed successfully", + "experiment_id": experiment_id, + "datasets_count": len(experiment.datasets), + "panels_count": len(experiment.panels) + } + else: + raise HTTPException( + status_code=500, + detail=f"Failed to reprocess experiment '{experiment_id}'" + ) + + except HTTPException: + raise + except Exception as e: + logger.error(f"Failed to reprocess experiment: {e}", exc_info=True) + raise HTTPException( + status_code=500, + detail=f"Failed to reprocess experiment: {str(e)}" + ) diff --git a/dst_dashboard/api/datasets.py b/dst_dashboard/api/datasets.py index 7271d196..d53a2278 100644 --- a/dst_dashboard/api/datasets.py +++ b/dst_dashboard/api/datasets.py @@ -1,21 +1,180 @@ """Dataset API routes.""" -from typing import Any, Dict, List -from fastapi import APIRouter, HTTPException + +from typing import List, Dict, Any + +from fastapi import APIRouter, HTTPException, Request, Body +from pydantic import BaseModel + +from dst_dashboard.config.data_structures import DatasetConfig, ExperimentConfig from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.api.utils import get_processor router = APIRouter( prefix="/experiments/{experiment_id}/datasets", tags=["datasets"] ) -db = DSTDatabase() -@router.get("/{dataset_name}", response_model=List[Dict[str, Any]]) -async def get_dataset(experiment_id: str, dataset_name: str): - """Get dataset data. +class DatasetDataUpdate(BaseModel): + """Model for updating dataset data.""" + data: List[Dict[str, Any]] + + +@router.get("") +async def get_experiment_datasets(experiment_id: str, request: Request): + """ + Get all datasets for an experiment with their data. + + Args: + experiment_id: Experiment identifier + + Returns: + List of datasets with their configurations and data + """ + db = DSTDatabase() + + # Get experiment from database (source of truth) + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Initialize database + db = DSTDatabase() + + # Get all datasets with their data + datasets = [] + for dataset_config in experiment.datasets: + cached_data = db.get_dataset(experiment_id, dataset_config.name) + + datasets.append({ + "name": dataset_config.name, + "datasource": dataset_config.datasource, + "timeRange": { + "start": dataset_config.timeRange.start.isoformat(), + "end": dataset_config.timeRange.end.isoformat() + }, + "schema": [{"name": f.name, "type": f.type} for f in dataset_config.schema], + "rowCount": len(cached_data) if cached_data else 0, + "data": cached_data if cached_data else [] + }) + + return { + "experiment_id": experiment_id, + "datasets": datasets + } + + +@router.get("/{dataset_name}", response_model=DatasetConfig) +async def get_dataset(experiment_id: str, dataset_name: str, request: Request): + """Get dataset configuration for an experiment.""" + db = DSTDatabase() - TODO: Use DatasetProcessor + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Find dataset + for dataset in experiment.datasets: + if dataset.name == dataset_name: + return dataset + + raise HTTPException(status_code=404, detail="Dataset not found") + + +@router.get("/{dataset_name}/data") +async def get_dataset_data( + experiment_id: str, + dataset_name: str, + request: Request, + refresh: bool = False +): """ - data = db.get_dataset(experiment_id, dataset_name) - if data is None: + Get dataset data (with caching support). + + Args: + experiment_id: Experiment identifier + dataset_name: Dataset name + refresh: If True, force re-fetch from datasource even if cached + + Returns: + Dataset data (list of records) + """ + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Find dataset config + dataset_config = None + for dataset in experiment.datasets: + if dataset.name == dataset_name: + dataset_config = dataset + break + + if dataset_config is None: raise HTTPException(status_code=404, detail="Dataset not found") - return data + + # Initialize processor + processor = get_processor(request) + + # Check cache unless refresh requested + if not refresh: + cached_data = db.get_dataset(experiment_id, dataset_name) + if cached_data is not None: + return {"data": cached_data, "source": "cache"} + + # Fetch fresh data using processor + try: + data = processor.fetch_dataset(experiment_id, dataset_config) + + # Update cache + if data: + db.store_dataset(experiment_id, dataset_name, data) + + return {"data": data, "source": "datasource"} + + except Exception as e: + raise HTTPException( + status_code=500, + detail=f"Failed to fetch dataset: {str(e)}" + ) + + +@router.delete("/{dataset_name}", status_code=204) +async def delete_dataset(experiment_id: str, dataset_name: str, request: Request): + """Delete a dataset and its data.""" + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Find dataset + dataset_index = None + for i, ds in enumerate(experiment.datasets): + if ds.name == dataset_name: + dataset_index = i + break + + if dataset_index is None: + raise HTTPException(status_code=404, detail="Dataset not found") + + # Remove dataset from experiment + experiment.datasets.pop(dataset_index) + db.store_experiment(experiment.model_dump()) + + # Delete dataset data + db.delete_dataset(experiment_id, dataset_name) + + return None diff --git a/dst_dashboard/api/datasources.py b/dst_dashboard/api/datasources.py new file mode 100644 index 00000000..e82d8aa7 --- /dev/null +++ b/dst_dashboard/api/datasources.py @@ -0,0 +1,52 @@ +"""Datasource API routes.""" + +from typing import List, Optional +from fastapi import APIRouter, HTTPException, Query, Request +from dst_dashboard.config.data_structures import DataSourceConfig +router = APIRouter(prefix="/datasources", tags=["datasources"]) + + +@router.get("", response_model=List[DataSourceConfig]) +async def list_datasources( + request: Request, +): + """List loaded datasources""" + datasources = getattr(request.app.state, "datasources", None) + if datasources is None: + raise HTTPException(status_code=500, detail="Datasources are not initialized") + return datasources + +@router.get("/prometheus", response_model=List[DataSourceConfig]) +async def list_datasources( + request: Request, +): + """List prometheus datasources""" + datasources = getattr(request.app.state, "datasources", None) + if datasources is None: + raise HTTPException(status_code=500, detail="Datasources are not initialized") + prometheus_datasources = [ds for ds in datasources if ds.type.lower() == "prometheus"] + return prometheus_datasources + +@router.get("/victorialogs", response_model=List[DataSourceConfig]) +async def list_datasources( + request: Request, +): + """List victorialogs datasources""" + datasources = getattr(request.app.state, "datasources", None) + if datasources is None: + raise HTTPException(status_code=500, detail="Datasources are not initialized") + victorialogs_datasources = [ds for ds in datasources if ds.type.lower() == "victorialogs"] + return victorialogs_datasources + +@router.get("/{datasource_name}", response_model=DataSourceConfig) +async def get_datasource(datasource_name: str, request: Request): + """Get a datasource by name from config.""" + datasources = getattr(request.app.state, "datasources", None) + if datasources is None: + raise HTTPException(status_code=500, detail="Datasources are not initialized") + + for datasource in datasources: + if datasource.name == datasource_name: + return datasource + + raise HTTPException(status_code=404, detail="Datasource not found") diff --git a/dst_dashboard/api/experiments.py b/dst_dashboard/api/experiments.py index 50c87dbe..4e296cde 100644 --- a/dst_dashboard/api/experiments.py +++ b/dst_dashboard/api/experiments.py @@ -1,38 +1,188 @@ -from typing import Any, Dict, List, Optional -from fastapi import APIRouter, HTTPException, Query +from typing import List, Optional, Dict, Any + +from fastapi import APIRouter, HTTPException, Query, Request, Body +from pydantic import BaseModel + +from dst_dashboard.config.data_structures import ExperimentConfig from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.processors.experiment_processor import ExperimentProcessor +from dst_dashboard.api.utils import get_processor router = APIRouter(prefix="/experiments", tags=["experiments"]) -db = DSTDatabase() -@router.get("", response_model=List[Dict[str, Any]]) -async def list_experiments(publish: Optional[bool] = Query(None, description="Filter by publish status")): - """List all experiments. Use ?publish=true to filter only published experiments.""" - # TODO: Implement experiment listing - experiments = db.list_experiments() +@router.get("/families") +async def list_families(request: Request) -> Dict[str, Any]: + """ + Get all experiment families with their experiments. + Organized for navigation in the dashboard UI. + + Returns: + List of families with nested experiments + """ + db = DSTDatabase() + + # Get experiments from database (source of truth) + experiments_data = db.list_experiments() + experiments = [ExperimentConfig(**exp_data) for exp_data in experiments_data] + + # Group experiments by family + families_dict = {} + for experiment in experiments: + if not experiment.publish: + continue + + family = experiment.family + if family not in families_dict: + families_dict[family] = { + "name": family, + "experiments": [] + } + + families_dict[family]["experiments"].append({ + "id": experiment.id, + "title": experiment.title, + "panel_count": len(experiment.panels), + "dataset_count": len(experiment.datasets), + "metadata": experiment.metadata, + "description": experiment.description, + "github_repo": experiment.github_repo, + "github_pr": experiment.github_pr, + "docker_image": experiment.docker_image, + "date": experiment.date + }) + + # Convert to sorted list + families = sorted(families_dict.values(), key=lambda x: x["name"]) + + return { + "families": families, + "total_families": len(families), + "total_experiments": sum(len(f["experiments"]) for f in families) + } + + +@router.get("", response_model=List[ExperimentConfig]) +async def list_experiments( + request: Request, + publish: Optional[bool] = Query(None, description="Filter by publish status"), +): + """List all experiments from database. Use ?publish=true to filter only published experiments.""" + db = DSTDatabase() + + # Get experiments from database (source of truth) + experiments_data = db.list_experiments() + experiments = [ExperimentConfig(**exp_data) for exp_data in experiments_data] - # Filter by publish status if specified if publish is not None: - experiments = [exp for exp in experiments if exp.get("publish") == publish] - - return [ - { - "id": exp["id"], - "title": exp["title"], - "family": exp["family"], - "metadata": exp["metadata"], - "publish": exp.get("publish", True), - } - for exp in experiments - ] - - -@router.get("/{experiment_id}", response_model=Dict[str, Any]) -async def get_experiment(experiment_id: str): - """Get experiment details.""" - # TODO: Implement experiment retrieval - experiment = db.get_experiment(experiment_id) - if not experiment: + experiments = [experiment for experiment in experiments if experiment.publish == publish] + + return experiments + + +@router.get("/{experiment_id}", response_model=ExperimentConfig) +async def get_experiment(experiment_id: str, request: Request): + """Get experiment details from database.""" + db = DSTDatabase() + + # Get from database (source of truth) + experiment_data = db.get_experiment(experiment_id) + + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + return ExperimentConfig(**experiment_data) + + +@router.post("", response_model=ExperimentConfig, status_code=201) +async def create_experiment(experiment: ExperimentConfig, request: Request): + """ + Create a new experiment and process it (fetch datasets, generate panels). + """ + db = DSTDatabase() + + # Check if experiment already exists + existing = db.get_experiment(experiment.id) + if existing: + raise HTTPException(status_code=409, detail=f"Experiment with ID '{experiment.id}' already exists") + + # Store experiment in database + db.store_experiment(experiment.model_dump()) + + # Process the experiment (fetch datasets, generate panels) + processor = get_processor(request) + success = processor.process_experiment(experiment) + + if not success: + # Rollback - delete from DB if processing failed + db.delete_experiment(experiment.id) + raise HTTPException( + status_code=500, + detail="Failed to process experiment. Check that all datasets and datasources are valid." + ) + + return experiment + + +@router.put("/{experiment_id}", response_model=ExperimentConfig) +async def update_experiment(experiment_id: str, experiment: ExperimentConfig, request: Request): + """ + Update an existing experiment. + Only reprocesses if configuration changed (datasets, panels, datasources, time ranges). + """ + db = DSTDatabase() + + # Ensure the ID in the path matches the ID in the body + if experiment.id != experiment_id: + raise HTTPException(status_code=400, detail="Experiment ID in path must match ID in body") + + # Get existing experiment from DB + existing_data = db.get_experiment(experiment_id) + if not existing_data: raise HTTPException(status_code=404, detail="Experiment not found") + + existing = ExperimentConfig(**existing_data) + + # Check if reprocessing is needed + needs_reprocessing = ( + existing.datasets != experiment.datasets or + existing.panels != experiment.panels or + any( + existing_ds.datasource != new_ds.datasource or + existing_ds.timeRange != new_ds.timeRange + for existing_ds, new_ds in zip(existing.datasets, experiment.datasets) + ) if len(existing.datasets) == len(experiment.datasets) else True + ) + + # Store updated experiment in database + db.store_experiment(experiment.model_dump()) + + # Reprocess if configuration changed + if needs_reprocessing: + processor = get_processor(request) + success = processor.process_experiment(experiment) + + if not success: + # Rollback - restore old experiment + db.store_experiment(existing.model_dump()) + raise HTTPException( + status_code=500, + detail="Failed to reprocess experiment. Rolled back to previous configuration." + ) + return experiment + + +@router.delete("/{experiment_id}", status_code=204) +async def delete_experiment(experiment_id: str, request: Request): + """Delete an experiment and all its associated data (datasets, panels).""" + db = DSTDatabase() + + # Check if experiment exists + if not db.get_experiment(experiment_id): + raise HTTPException(status_code=404, detail="Experiment not found") + + # Delete from database (cascades to datasets and panels) + db.delete_experiment(experiment_id) + + return None diff --git a/dst_dashboard/api/panels.py b/dst_dashboard/api/panels.py index ffbaf81f..0664542f 100644 --- a/dst_dashboard/api/panels.py +++ b/dst_dashboard/api/panels.py @@ -1,27 +1,220 @@ """Panel API routes.""" -from typing import Any, Dict -from fastapi import APIRouter, HTTPException + +import logging +from typing import List, Dict, Any + +from fastapi import APIRouter, HTTPException, Request, Body + +from dst_dashboard.config.data_structures import PanelConfig, ExperimentConfig from dst_dashboard.storage.db import DSTDatabase router = APIRouter(prefix="/experiments/{experiment_id}/panels", tags=["panels"]) -db = DSTDatabase() - -@router.get("", response_model=Dict[str, Any]) -async def list_panels(experiment_id: str): - """List all panels for an experiment.""" - # TODO: Implement panel listing - panels = db.list_panels(experiment_id) - if panels is None: - raise HTTPException(status_code=404, detail="Panels not found") - return panels - -@router.get("/{panel_name}", response_model=Dict[str, Any]) -async def get_panel_data(experiment_id: str, panel_name: str): - """Get transformed panel data for visualization. - - TODO: Use PanelProcessor +logger = logging.getLogger(__name__) + + +@router.get("") +async def get_all_panels( + experiment_id: str, + request: Request +) -> Dict[str, Any]: + """ + Get all panels for an experiment with their rendered visualizations. + Generates ECharts options on-demand from stored datasets and panel configs. + + Args: + experiment_id: Experiment ID + + Returns: + List of panels with ECharts options """ - data = db.get_panel_data(experiment_id, panel_name) - if data is None: - raise HTTPException(status_code=404, detail="Panel data not found") - return data + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Get panel processor to transform data on-demand + from dst_dashboard.api.utils import get_panel_processor + processor = get_panel_processor(request) + + # Get stored panel data from database + rendered_panels = [] + for panel_config in experiment.panels: + # Get pre-processed panel from database + panel_data = processor.db.get_panel_data(experiment_id, panel_config.name) + + if panel_data: + rendered_panels.append({ + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "dataset": panel_config.dataset, + "option": panel_data + }) + else: + logger.warning(f"Panel '{panel_config.name}' not found in database, may need reprocessing") + rendered_panels.append({ + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "dataset": panel_config.dataset, + "error": "Panel not preprocessed" + }) + + return { + "experiment_id": experiment_id, + "panels": rendered_panels + } + + +@router.get("/by-dataset/{dataset_name}") +async def get_panels_by_dataset( + experiment_id: str, + dataset_name: str, + request: Request +) -> Dict[str, Any]: + """ + Get all preprocessed panels that use a specific dataset. + Reads from database - panels should already be processed. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + + Returns: + List of panels using the specified dataset with ECharts options + """ + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Filter panels by dataset + matching_panels = [p for p in experiment.panels if p.dataset == dataset_name] + + if not matching_panels: + return { + "experiment_id": experiment_id, + "dataset_name": dataset_name, + "panels": [] + } + + # Retrieve preprocessed panels from database + rendered_panels = [] + for panel_config in matching_panels: + panel_data = db.get_panel_data(experiment_id, panel_config.name) + + if panel_data is not None: + rendered_panels.append({ + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "option": panel_data + }) + else: + rendered_panels.append({ + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "error": "Panel data not found in database. Please reprocess the experiment." + }) + + return { + "experiment_id": experiment_id, + "dataset_name": dataset_name, + "panels": rendered_panels + } + + +@router.get("/{panel_name}") +async def get_panel( + experiment_id: str, + panel_name: str, + request: Request +) -> Dict[str, Any]: + """ + Get preprocessed panel with rendered ECharts option. + Reads from database - panel should already be processed. + + Args: + experiment_id: Experiment ID + panel_name: Panel name + + Returns: + Panel with ECharts option ready for rendering + """ + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Find panel config + panel_config = None + for panel in experiment.panels: + if panel.name == panel_name: + panel_config = panel + break + + if panel_config is None: + raise HTTPException(status_code=404, detail="Panel not found") + + # Get preprocessed panel data from database + panel_data = db.get_panel_data(experiment_id, panel_name) + + if panel_data is None: + raise HTTPException( + status_code=404, + detail="Panel data not found in database. Please reprocess the experiment." + ) + + return { + "panel_name": panel_name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "option": panel_data + } + + +@router.delete("/{panel_name}", status_code=204) +async def delete_panel(experiment_id: str, panel_name: str, request: Request): + """Delete a panel.""" + db = DSTDatabase() + + # Get experiment from database + experiment_data = db.get_experiment(experiment_id) + if experiment_data is None: + raise HTTPException(status_code=404, detail="Experiment not found") + + experiment = ExperimentConfig(**experiment_data) + + # Find panel + panel_index = None + for i, p in enumerate(experiment.panels): + if p.name == panel_name: + panel_index = i + break + + if panel_index is None: + raise HTTPException(status_code=404, detail="Panel not found") + + # Remove panel from experiment + experiment.panels.pop(panel_index) + + # Update experiment in database + db.store_experiment(experiment.model_dump()) + + # Delete cached panel data + db.delete_panel(experiment_id, panel_name) + + return None diff --git a/dst_dashboard/api/response_models.py b/dst_dashboard/api/response_models.py new file mode 100644 index 00000000..d05f1690 --- /dev/null +++ b/dst_dashboard/api/response_models.py @@ -0,0 +1,30 @@ +from typing import Any, Dict, List + +from pydantic import BaseModel + + +class ExperimentSummaryResponse(BaseModel): + id: str + title: str + family: str + metadata: Dict[str, Any] + publish: bool + + +class DatasetResponse(BaseModel): + experiment_id: str + dataset_name: str + row_count: int + data: List[Dict[str, Any]] + + +class PanelSummaryResponse(BaseModel): + id: str + experiment_id: str + name: str + + +class PanelDataResponse(BaseModel): + experiment_id: str + panel_name: str + data: Dict[str, Any] \ No newline at end of file diff --git a/dst_dashboard/api/utils.py b/dst_dashboard/api/utils.py new file mode 100644 index 00000000..e1f6b1f1 --- /dev/null +++ b/dst_dashboard/api/utils.py @@ -0,0 +1,132 @@ +"""Utility functions for API routes.""" + +import logging +from concurrent.futures import ThreadPoolExecutor, as_completed +from fastapi import HTTPException, Request + +from dst_dashboard.processors.experiment_processor import ExperimentProcessor +from dst_dashboard.processors.panel_processor import PanelProcessor +from dst_dashboard.storage.db import DSTDatabase + +logger = logging.getLogger(__name__) + + +def get_processor(request: Request) -> ExperimentProcessor: + """ + Get experiment processor from app state. + The processor needs config for datasources (DB is source of truth for experiments). + """ + config = getattr(request.app.state, "config", None) + if config is None: + raise HTTPException(status_code=500, detail="Config is not initialized") + db = DSTDatabase() + return ExperimentProcessor(config, db) + + +def get_panel_processor(request: Request) -> PanelProcessor: + """ + Get panel processor from app state. + The processor needs config for datasources. + """ + config = getattr(request.app.state, "config", None) + if config is None: + raise HTTPException(status_code=500, detail="Config is not initialized") + db = DSTDatabase() + return PanelProcessor(config, db) + + +def needs_reprocessing(db: DSTDatabase, experiment) -> bool: + """ + Check if experiment needs reprocessing (missing datasets or panels). + + Args: + db: Database instance + experiment: ExperimentConfig instance + + Returns: + True if reprocessing needed, False otherwise + """ + # Check if all datasets have data + for dataset_config in experiment.datasets: + data = db.get_dataset(experiment.id, dataset_config.name) + if data is None: + return True + + # Check if all panels have been processed + for panel_config in experiment.panels: + panel_data = db.get_panel_data(experiment.id, panel_config.name) + if panel_data is None: + return True + + return False + + +def process_experiments(experiments, db, processor, experiment_ids_tracker=None, max_workers=4): + """ + Process a list of experiments in parallel. + + Args: + experiments: List of ExperimentConfig instances + db: Database instance (used for reference only) + processor: ExperimentProcessor instance (used for config reference) + experiment_ids_tracker: Optional set to track processed experiment IDs + max_workers: Maximum number of parallel workers (default: 4) + + Returns: + Dict with processing statistics + """ + stats = {"processed": 0, "failed": 0, "failed_list": []} + + def process_single_experiment(experiment): + """Process a single experiment and return result. Creates thread-local DB connection.""" + try: + # Create thread-local database and processor instances + # SQLite requires connections to be created in the same thread they're used + thread_db = DSTDatabase() + thread_processor = ExperimentProcessor(processor.config, thread_db) + + # Store experiment in database + thread_db.store_experiment(experiment.model_dump()) + + if experiment_ids_tracker is not None: + experiment_ids_tracker.add(experiment.id) + + # Check if needs reprocessing + if needs_reprocessing(thread_db, experiment): + logger.info(f"Processing '{experiment.id}' (missing data)") + thread_processor.process_experiment(experiment) + else: + logger.info(f"Skipping '{experiment.id}' (data complete)") + + return {"success": True, "id": experiment.id} + + except Exception as e: + logger.error(f"Failed to process '{experiment.title}': {e}", exc_info=True) + return { + "success": False, + "id": experiment.id, + "title": experiment.title, + "error": str(e) + } + + # Process experiments in parallel + with ThreadPoolExecutor(max_workers=max_workers) as executor: + # Submit all tasks + future_to_exp = { + executor.submit(process_single_experiment, exp): exp + for exp in experiments + } + + # Collect results as they complete + for future in as_completed(future_to_exp): + result = future.result() + if result["success"]: + stats["processed"] += 1 + else: + stats["failed"] += 1 + stats["failed_list"].append({ + "title": result["title"], + "error": result["error"] + }) + + return stats diff --git a/dst_dashboard/experiment_descriptors/__init__.py b/dst_dashboard/config/__init__.py similarity index 100% rename from dst_dashboard/experiment_descriptors/__init__.py rename to dst_dashboard/config/__init__.py diff --git a/dst_dashboard/config/constants.py b/dst_dashboard/config/constants.py new file mode 100644 index 00000000..bdd015d1 --- /dev/null +++ b/dst_dashboard/config/constants.py @@ -0,0 +1,25 @@ +import os +from enum import StrEnum +from pathlib import Path + + + +DEFAULT_CONFIG_PATH = Path.home() / ".cache" / "dst_dashboard" / "config.yaml" +DEFAULT_DB_PATH = Path.home() / ".cache" / "dst_dashboard" +DEFAULT_DATA_PATH = Path.home() / ".cache" / "dst_dashboard" / "data" + +class Constants(StrEnum): + """Constants used in DST dashboard application.""" + + DST_CONFIG_PATH = os.environ.get( + "DST_CONFIG_PATH", + str(DEFAULT_CONFIG_PATH), + ) + DST_DB_PATH = os.environ.get( + "DST_DB_PATH", + str(DEFAULT_DB_PATH), + ) + DST_DATA_PATH = os.environ.get( + "DST_DATA_PATH", + str(DEFAULT_DATA_PATH), + ) diff --git a/dst_dashboard/experiment_descriptors/data_structures.py b/dst_dashboard/config/data_structures.py similarity index 68% rename from dst_dashboard/experiment_descriptors/data_structures.py rename to dst_dashboard/config/data_structures.py index 2fc6ffb6..01ebfda6 100644 --- a/dst_dashboard/experiment_descriptors/data_structures.py +++ b/dst_dashboard/config/data_structures.py @@ -57,14 +57,15 @@ class PanelTransform(BaseModel): value: Optional[str] = None x: Optional[str] = None y: Optional[str] = None - top: Optional[int] = None + top: Optional[int] = None # Top N by average value + firstN: Optional[int] = None # First N items (no sorting) class PanelStyle(BaseModel): """Panel style configuration.""" yLabel: Optional[str] = None xLabel: Optional[str] = None - yUnit: Optional[str] = None + yUnit: Optional[Literal["bytes", "bytes/s", "bps", "ms", "seconds", "percent", "number"]] = None # Auto-format units yMin: Optional[float] = None yMax: Optional[float] = None @@ -76,6 +77,7 @@ class PanelConfig(BaseModel): dataset: str # References dataset by name transform: PanelTransform style: Optional[PanelStyle] = None + echarts_options: Optional[Dict[str, Any]] = None # Override ECharts options (colors, grid, etc.) publish: bool # Whether to show on UI @@ -83,12 +85,29 @@ class ExperimentConfig(BaseModel): id: str title: str family: str + description: Optional[str] = None # Experiment description metadata: Dict[str, Any] # Flexible metadata from 10ksim datasets: List[DatasetConfig] panels: List[PanelConfig] publish: bool # Whether to show on UI + github_repo: Optional[str] = None # GitHub repository URL + github_pr: Optional[str] = None # Pull request URL + docker_image: Optional[str] = None # Docker image reference + date: Optional[str] = None # ISO date string (YYYY-MM-DD) class DashboardFullConfig(BaseModel): datasources: List[DataSourceConfig] experiments: List[ExperimentConfig] + + def WithValidateDatasources(self) -> "DashboardFullConfig": + if not self.datasources: + raise ValueError("At least one datasource must be defined in the config.") + for datasource in self.datasources: + if not datasource.name: + raise ValueError("Datasource must have a name.") + if not datasource.type: + raise ValueError("Datasource must have a type.") + if not datasource.url: + raise ValueError("Datasource must have a URL.") + return self diff --git a/dst_dashboard/config/utils.py b/dst_dashboard/config/utils.py new file mode 100644 index 00000000..4cd6f587 --- /dev/null +++ b/dst_dashboard/config/utils.py @@ -0,0 +1,12 @@ +import yaml +from dst_dashboard.config.constants import Constants +from dst_dashboard.config.data_structures import DashboardFullConfig + + +def LoadConfig(config_path: str = Constants.DST_CONFIG_PATH) -> DashboardFullConfig: + with open(config_path, "r", encoding="utf-8") as file: + config_yaml = yaml.safe_load(file) + if config_yaml is None: + raise ValueError(f"Config file '{config_path}' is empty") + config = DashboardFullConfig.model_validate(config_yaml) + return config diff --git a/dst_dashboard/frontend/.dockerignore b/dst_dashboard/frontend/.dockerignore new file mode 100644 index 00000000..efac016e --- /dev/null +++ b/dst_dashboard/frontend/.dockerignore @@ -0,0 +1,34 @@ +# Node +node_modules +npm-debug.log +.env.local +.env.development.local +.env.test.local +.env.production.local + +# Build outputs +build +dist + +# Git +.git +.gitignore + +# IDE +.vscode +.idea +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# Testing +coverage +.pytest_cache +__pycache__ + +# Misc +*.log +.cache diff --git a/dst_dashboard/frontend/Dockerfile b/dst_dashboard/frontend/Dockerfile new file mode 100644 index 00000000..0952d2de --- /dev/null +++ b/dst_dashboard/frontend/Dockerfile @@ -0,0 +1,45 @@ +# Production-Optimized Docker Image (Recommended for Kubernetes) +# Multi-stage build: Build with Node, serve with Nginx +# +# Why Nginx instead of npm start? +# - 10x smaller image: ~20MB vs ~200MB +# - 10x faster: Static file serving optimized +# - Production-ready: Compression, caching, security +# - No dev dependencies in final image +# +# For simpler development deployment, see Dockerfile.dev + +# Build stage +FROM node:18-alpine AS build + +WORKDIR /app + +# Copy package files +COPY package*.json ./ + +# Install dependencies (use npm install instead of ci for flexibility) +RUN npm install --production + +# Copy source code +COPY public/ ./public/ +COPY src/ ./src/ + +# Build-time argument for API URL (baked into the build) +ARG REACT_APP_API_URL=http://localhost:8000 +ENV REACT_APP_API_URL=$REACT_APP_API_URL + +# Build the app +RUN npm run build + +# Production stage with nginx +FROM nginx:alpine + +# Copy built files from build stage +COPY --from=build /app/build /usr/share/nginx/html + +# Copy nginx configuration +COPY nginx.conf /etc/nginx/conf.d/default.conf + +EXPOSE 80 + +CMD ["nginx", "-g", "daemon off;"] diff --git a/dst_dashboard/frontend/nginx.conf b/dst_dashboard/frontend/nginx.conf new file mode 100644 index 00000000..3d57b303 --- /dev/null +++ b/dst_dashboard/frontend/nginx.conf @@ -0,0 +1,36 @@ +server { + listen 80; + server_name _; + root /usr/share/nginx/html; + index index.html; + + # Gzip compression + gzip on; + gzip_vary on; + gzip_min_length 1024; + gzip_types text/plain text/css text/xml text/javascript application/javascript application/xml+rss application/json; + + # Serve static files + location / { + try_files $uri $uri/ /index.html; + add_header Cache-Control "no-cache, no-store, must-revalidate"; + add_header Pragma "no-cache"; + add_header Expires "0"; + } + + # Cache static assets + location ~* \.(js|css|png|jpg|jpeg|gif|ico|svg|woff|woff2|ttf|eot)$ { + expires 1y; + add_header Cache-Control "public, immutable"; + } + + # Proxy API requests to backend (if using same domain) + # location /api/ { + # proxy_pass http://backend-service:8000/; + # proxy_http_version 1.1; + # proxy_set_header Upgrade $http_upgrade; + # proxy_set_header Connection 'upgrade'; + # proxy_set_header Host $host; + # proxy_cache_bypass $http_upgrade; + # } +} diff --git a/dst_dashboard/frontend/package-lock.json b/dst_dashboard/frontend/package-lock.json new file mode 100644 index 00000000..9e8e94a6 --- /dev/null +++ b/dst_dashboard/frontend/package-lock.json @@ -0,0 +1,18880 @@ +{ + "name": "dst-dashboard", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": 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+ "react": "^18.2.0", + "react-dom": "^18.2.0", + "react-router-dom": "^6.20.0", + "react-scripts": "5.0.1" + }, + "scripts": { + "start": "react-scripts start", + "build": "react-scripts build", + "test": "react-scripts test", + "eject": "react-scripts eject" + }, + "eslintConfig": { + "extends": [ + "react-app", + "react-app/jest" + ] + }, + "browserslist": { + "production": [ + ">0.2%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 1 chrome version", + "last 1 firefox version", + "last 1 safari version" + ] + }, + "proxy": "http://localhost:8000" +} \ No newline at end of file diff --git a/dst_dashboard/frontend/public/index.html b/dst_dashboard/frontend/public/index.html new file mode 100644 index 00000000..4c497b27 --- /dev/null +++ b/dst_dashboard/frontend/public/index.html @@ -0,0 +1,17 @@ + + + + + + + + + DST Dashboard + + + + +
+ + + \ No newline at end of file diff --git a/dst_dashboard/frontend/src/App.css b/dst_dashboard/frontend/src/App.css new file mode 100644 index 00000000..2c162811 --- /dev/null +++ b/dst_dashboard/frontend/src/App.css @@ -0,0 +1,798 @@ +* { + box-sizing: border-box; +} + +body { + margin: 0; + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; + background-color: #000000; + color: #e5e5e5; +} + +.App { + min-height: 100vh; + display: flex; +} + + +/* Sidebar - ProbeB Style */ + +.sidebar { + width: 260px; + background-color: #0a0a0a; + border-right: 1px solid #1a1a1a; + position: fixed; + height: 100vh; + overflow-y: auto; + z-index: 999; + transition: width 0.3s ease; + display: flex; + flex-direction: column; +} + +.sidebar.collapsed { + width: 70px; +} + +.sidebar-toggle { + position: absolute; + right: -15px; + top: 24px; + width: 30px; + height: 30px; + background-color: #0f0f0f; + border: 1px solid #333333; + border-radius: 50%; + color: #999999; + cursor: pointer; + display: flex; + align-items: center; + justify-content: center; + font-size: 12px; + z-index: 1001; + transition: all 0.2s; + box-shadow: 0 2px 8px rgba(0, 0, 0, 0.5); +} + +.sidebar-toggle:hover { + background-color: #1a1a1a; + color: #ffffff; + border-color: #666666; +} + +.sidebar-header { + padding: 2rem 1.5rem; + border-bottom: 1px solid #1a1a1a; +} + +.sidebar-brand { + color: #ffffff; + text-decoration: none; + display: flex; + align-items: center; + gap: 0.75rem; + font-size: 1.125rem; + font-weight: 700; + transition: opacity 0.2s; +} + +.sidebar-brand:hover { + opacity: 0.8; +} + +.brand-logo { + font-size: 1.5rem; + flex-shrink: 0; +} + +.brand-logo-img { + height: 32px; + width: auto; + flex-shrink: 0; +} + +.sidebar.collapsed .brand-text { + display: none; +} + +.sidebar-nav { + padding: 1rem 0; + flex: 1; +} + +.nav-section { + margin-bottom: 1rem; +} + +.nav-section-title { + padding: 0.75rem 1.5rem 0.5rem; + font-size: 0.75rem; + color: #666666; + text-transform: uppercase; + letter-spacing: 0.1em; + font-weight: 600; +} + +.sidebar.collapsed .nav-section-title { + display: none; +} + +.nav-divider { + height: 1px; + background-color: #1a1a1a; + margin: 1rem 1.5rem; +} + +.sidebar.collapsed .nav-divider { + margin: 1rem 1rem; +} + +.nav-item { + padding: 0.875rem 1.5rem; + color: #999999; + text-decoration: none; + display: flex; + align-items: center; + gap: 0.75rem; + font-size: 0.9375rem; + font-weight: 500; + transition: all 0.2s; + cursor: pointer; + border-left: 3px solid transparent; +} + +.nav-item:hover { + background-color: #0f0f0f; + color: #ffffff; + border-left-color: #333333; +} + +.nav-item.active { + background-color: #0f0f0f; + color: #ffffff; + border-left-color: #ffffff; +} + +.nav-icon { + font-size: 1rem; + flex-shrink: 0; + width: 20px; + display: flex; + align-items: center; + justify-content: center; +} + +.nav-icon svg { + display: block; +} + +.sidebar.collapsed .nav-item { + padding: 0.875rem 1rem; + justify-content: center; +} + +.sidebar.collapsed .nav-text { + display: none; +} + +.main-content { + flex: 1; + margin-left: 260px; + transition: margin-left 0.3s ease; + width: calc(100% - 260px); + min-height: 100vh; + display: flex; + flex-direction: column; +} + +.main-content.sidebar-collapsed { + margin-left: 70px; + width: calc(100% - 70px); +} + + +/* Page Header */ + +.page-header { + background-color: #0a0a0a; + padding: 3rem 3rem 2.5rem; + border-bottom: 1px solid #1a1a1a; +} + +.header-content { + width: 100%; +} + +.page-title { + font-size: 2.5rem; + font-weight: 700; + margin: 0 0 0.75rem 0; + color: #ffffff; + letter-spacing: -0.02em; +} + +.page-subtitle { + font-size: 1.125rem; + color: #999999; + margin: 0; + font-weight: 400; +} + + +/* Container */ + +.container { + padding: 0; + width: 100%; + flex: 1; + display: flex; + flex-direction: column; +} + +.overview-section { + padding: 3rem 0; + margin-bottom: 0; + background-color: #000000; + display: flex; + flex-direction: column; + align-items: center; + min-height: 240px; + flex-shrink: 0; +} + +.overview-section>.hero-stats { + max-width: 1400px; + width: 100%; + padding: 0 3rem; + box-sizing: border-box; + margin-bottom: 3rem; +} + +.overview-section>.timeline-section { + max-width: 1400px; + width: 100%; + padding: 0 3rem; + box-sizing: border-box; +} + +.categories-section { + padding: 3rem 0; + margin-bottom: 0; + background-color: #0a0a0a; + min-height: 180px; + flex-shrink: 0; +} + +.categories-section>* { + max-width: 1400px; + margin-left: auto; + margin-right: auto; + padding-left: 3rem; + padding-right: 3rem; +} + +.experiments-section { + padding: 3rem 0; + margin-bottom: 0; + background-color: #000000; + min-height: 400px; +} + +.experiments-section>* { + max-width: 1400px; + margin-left: auto; + margin-right: auto; + padding-left: 3rem; + padding-right: 3rem; +} + +.section-title { + font-size: 1.5rem; + font-weight: 700; + margin: 0 0 1.5rem 0; + color: #ffffff; + text-transform: uppercase; + letter-spacing: 0.05em; +} + + +/* Overview Section */ + +.hero-stats { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: 2rem; + margin-bottom: 3rem; + width: 100%; +} + +.hero-stat-card { + background-color: #0f0f0f; + border: 1px solid #1a1a1a; + border-radius: 8px; + padding: 2.5rem 2rem; + text-align: center; + transition: all 0.2s; +} + +.hero-stat-card:hover { + border-color: #333333; + transform: translateY(-2px); +} + +.hero-stat-value { + font-size: 3.5rem; + font-weight: 700; + color: #ffffff; + margin: 0 0 0.75rem 0; + line-height: 1; +} + +.hero-stat-label { + font-size: 0.875rem; + color: #999999; + margin: 0 0 0.5rem 0; + text-transform: uppercase; + letter-spacing: 0.1em; + font-weight: 600; +} + +.hero-stat-date { + font-size: 0.75rem; + color: #666666; + margin: 0; +} + + +/* Timeline Section */ + +.timeline-section { + background-color: #0f0f0f; + border: 1px solid #1a1a1a; + border-radius: 8px; + padding: 2rem; + width: 100%; + box-sizing: border-box; +} + +.timeline-stat-card { + background-color: #0f0f0f; + border: 1px solid #1a1a1a; + border-radius: 8px; + padding: 1.5rem 2rem; + flex: 1; + min-width: 0; +} + +.timeline-title { + font-size: 1.125rem; + font-weight: 600; + color: #ffffff; + margin: 0 0 1.5rem 0; + text-transform: uppercase; + letter-spacing: 0.05em; +} + +.chart-container { + width: 100%; +} + + +/* Categories Section */ + +.category-boxes { + display: flex; + flex-wrap: wrap; + gap: 1rem; +} + +.category-box { + background-color: #0f0f0f; + border: 1px solid #1a1a1a; + border-radius: 8px; + padding: 1.5rem 2rem; + cursor: pointer; + transition: all 0.2s; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + min-width: 180px; + text-align: center; +} + +.category-box:hover { + border-color: #333333; + transform: translateY(-2px); +} + +.category-box.active { + border-color: #ffffff; + background-color: #1a1a1a; +} + +.category-box-name { + font-size: 0.9375rem; + font-weight: 600; + color: #ffffff; + margin-bottom: 0.5rem; + display: block; +} + +.category-box-count { + font-size: 1.5rem; + font-weight: 700; + color: #999999; + display: block; +} + +.category-box.active .category-box-count { + color: #ffffff; +} + + +/* Experiments Section */ + +.experiments-grid { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(min(280px, 100%), 1fr)); + gap: 1.5rem; +} + +.experiment-card { + background-color: #0f0f0f; + border: 1px solid #1a1a1a; + border-radius: 8px; + padding: 1.5rem; + cursor: pointer; + transition: all 0.2s; + text-decoration: none; + color: inherit; + display: block; +} + +.experiment-card:hover { + border-color: #333333; + transform: translateY(-2px); +} + +.experiment-header-card { + display: flex; + justify-content: space-between; + align-items: flex-start; + margin-bottom: 1rem; + gap: 1rem; +} + +.experiment-title { + font-size: 1.0625rem; + font-weight: 600; + margin: 0; + color: #ffffff; + flex: 1; + line-height: 1.4; +} + +.experiment-date { + font-size: 0.75rem; + color: #666666; + font-weight: 500; + white-space: nowrap; +} + +.experiment-description { + font-size: 0.875rem; + color: #999999; + margin: 0 0 1rem 0; + line-height: 1.6; + display: -webkit-box; + -webkit-line-clamp: 2; + line-clamp: 2; + -webkit-box-orient: vertical; + overflow: hidden; +} + +.experiment-meta { + display: flex; + flex-wrap: wrap; + gap: 0.5rem; + padding-top: 1rem; + border-top: 1px solid #1a1a1a; +} + +.meta-link { + display: inline-flex; + align-items: center; + gap: 0.375rem; + background-color: #1a1a1a; + color: #cccccc; + padding: 0.375rem 0.75rem; + border-radius: 4px; + font-size: 0.75rem; + font-weight: 500; + text-decoration: none; + transition: all 0.2s; +} + +.meta-link:hover { + background-color: #2a2a2a; + color: #ffffff; +} + +.meta-badge { + display: inline-flex; + align-items: center; + gap: 0.375rem; + background-color: #0a0a0a; + color: #666666; + padding: 0.375rem 0.75rem; + border-radius: 4px; + font-size: 0.75rem; + font-weight: 500; +} + + +/* Footer - ProbeB Style */ + +.footer { + background-color: #0a0a0a; + border-top: 1px solid #1a1a1a; + padding: 2.5rem 0; + margin-top: auto; + width: 100%; +} + +.footer-content { + display: flex; + justify-content: space-between; + align-items: center; + flex-wrap: wrap; + gap: 1.5rem; + padding: 0 3rem; + max-width: 100%; +} + +.footer-content p { + margin: 0; + color: #999999; + font-size: 0.875rem; +} + +.footer-links { + display: flex; + align-items: center; + gap: 1rem; + font-size: 0.875rem; +} + +.footer-links a { + color: #999999; + text-decoration: none; + transition: color 0.2s; +} + +.footer-links a:hover { + color: #ffffff; +} + +.footer-links span { + color: #666666; +} + + +/* Experiment Detail Page */ + +.experiment-header { + background-color: #0a0a0a; + padding: 3rem 3rem 2.5rem; + margin-bottom: 0; + border-bottom: 1px solid #1a1a1a; +} + +.experiment-category-label { + color: #666666; + font-size: 0.875rem; + font-weight: 600; + text-transform: uppercase; + letter-spacing: 0.1em; + margin-bottom: 0.75rem; +} + +.experiment-title-main { + font-size: 2rem; + font-weight: 700; + margin: 0 0 1rem 0; + color: #ffffff; +} + +.experiment-description-main { + font-size: 1.125rem; + color: #999999; + margin: 0 0 1.5rem 0; + line-height: 1.6; +} + +.experiment-links { + display: flex; + gap: 1rem; + flex-wrap: wrap; + margin-top: 1.5rem; +} + +.exp-link { + display: inline-flex; + align-items: center; + gap: 0.5rem; + background-color: #1a1a1a; + color: #ffffff; + padding: 0.75rem 1.25rem; + border-radius: 6px; + font-size: 0.875rem; + font-weight: 600; + text-decoration: none; + transition: all 0.2s; + border: 1px solid #2a2a2a; +} + +.exp-link:hover { + background-color: #2a2a2a; + border-color: #3a3a3a; +} + + +/* Panels */ + +.panels-section { + flex: 1; + display: flex; + align-items: center; + justify-content: center; + padding: 2rem 0; + overflow: hidden; +} + +.panels-grid { + display: grid; + grid-template-columns: 1fr; + gap: 1.5rem; + max-width: 1100px; + width: 100%; + margin: 0 auto; + padding: 0 3rem; +} + +.panel-card { + background-color: #0f0f0f; + border: 1px solid #1a1a1a; + border-radius: 12px; + padding: 1.25rem; + transition: all 0.3s ease; + height: fit-content; + box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3); +} + +.panel-card:hover { + border-color: #444444; + transform: translateY(-4px); + box-shadow: 0 8px 24px rgba(0, 0, 0, 0.5); +} + +.panel-title { + font-size: 0.8125rem; + font-weight: 600; + margin: 0 0 0.875rem 0; + color: #ffffff; + text-transform: uppercase; + letter-spacing: 0.08em; + padding-bottom: 0.75rem; + border-bottom: 1px solid #1a1a1a; +} + +.panel-error { + background-color: #1a0000; + border: 1px solid #660000; + border-radius: 4px; + padding: 2rem; + color: #ff6666; + text-align: center; +} + + +/* Back Button */ + +.back-button { + display: inline-flex; + align-items: center; + gap: 0.5rem; + background-color: #1a1a1a; + color: #ffffff; + padding: 0.75rem 1.5rem; + border-radius: 6px; + border: 1px solid #2a2a2a; + cursor: pointer; + transition: all 0.2s; + font-size: 0.875rem; + font-weight: 600; + margin-bottom: 2rem; + text-decoration: none; +} + +.back-button:hover { + background-color: #2a2a2a; + border-color: #3a3a3a; +} + + +/* Utility */ + +.loading { + text-align: center; + padding: 4rem 2rem; + color: #666666; + font-size: 1.125rem; +} + +.error { + background-color: #2a0a0a; + border: 1px solid #4a1a1a; + color: #ff6b6b; + padding: 1rem 1.5rem; + border-radius: 8px; + margin: 2rem 0; +} + + +/* Responsive */ + +@media (max-width: 1200px) { + .hero-stats-timeline { + grid-template-columns: 1fr; + gap: 1rem; + } + .hero-stats { + grid-template-columns: 1fr; + gap: 1rem; + } + .category-boxes { + flex-direction: column; + } + .category-box { + width: 100%; + } + .experiments-grid { + grid-template-columns: 1fr; + } + .panels-grid { + grid-template-columns: 1fr; + } +} + +@media (max-width: 768px) { + .sidebar { + width: 70px; + } + .sidebar .brand-text, + .sidebar .nav-text, + .sidebar .nav-section-title { + display: none; + } + .main-content { + margin-left: 70px; + width: calc(100% - 70px); + } + .container { + padding: 2rem 1.5rem; + } + .page-header { + padding: 2rem 1.5rem; + } + .footer { + padding: 2rem 1.5rem; + } + .footer-content { + flex-direction: column; + align-items: flex-start; + } +} \ No newline at end of file diff --git a/dst_dashboard/frontend/src/App.js b/dst_dashboard/frontend/src/App.js new file mode 100644 index 00000000..d426cb83 --- /dev/null +++ b/dst_dashboard/frontend/src/App.js @@ -0,0 +1,27 @@ +import React from 'react'; +import { BrowserRouter as Router, Routes, Route } from 'react-router-dom'; +import './App.css'; +import HomePage from './pages/HomePage'; +import ExperimentPage from './pages/ExperimentPage'; + +function App() { + return ( < + Router > + < + div className = "App" > + < + Routes > + < + Route path = "/" + element = { < HomePage / > } + /> < + Route path = "/experiment/:experimentId" + element = { < ExperimentPage / > } + /> < + /Routes> < + /div> < + /Router> + ); +} + +export default App; \ No newline at end of file diff --git a/dst_dashboard/frontend/src/components/Sidebar.js b/dst_dashboard/frontend/src/components/Sidebar.js new file mode 100644 index 00000000..c3099b0e --- /dev/null +++ b/dst_dashboard/frontend/src/components/Sidebar.js @@ -0,0 +1,87 @@ +import React from 'react'; +import { Link, useLocation } from 'react-router-dom'; + +function Sidebar({ isCollapsed, onToggle }) { + const location = useLocation(); + + return ( < + div className = { `sidebar ${isCollapsed ? 'collapsed' : ''}` } > + < + button className = "sidebar-toggle" + onClick = { onToggle } + title = { isCollapsed ? 'Expand' : 'Collapse' } > { isCollapsed ? '▶' : '◀' } < + /button> + + < + div className = "sidebar-header" > + < + Link to = "/" + className = "sidebar-brand" > + < + img src = "https://raw.githubusercontent.com/vacp2p/vaclab-2/feat/add_lab_components/extras/vac-logo-light-no-bg.png" + alt = "VacLab Logo" + className = "brand-logo-img" / + > {!isCollapsed && < span className = "brand-text" > DST Dashboard < /span>} < + /Link> < + /div> + + < + nav className = "sidebar-nav" > + < + div className = "nav-section" > + < + Link + to = "/" + className = { `nav-item ${location.pathname === '/' ? 'active' : ''}` } + title = "Home" > + < + span className = "nav-icon" > 🏠 < /span> { + !isCollapsed && < span className = "nav-text" > Home < /span>} < + /Link> < + /div> + + < + div className = "nav-divider" > < /div> + + < + div className = "nav-section" > + < + div className = "nav-section-title" > {!isCollapsed && < span > Resources < /span>} < + /div> < + a + href = "https://github.com/vacp2p" + target = "_blank" + rel = "noopener noreferrer" + className = "nav-item" + title = "VacLab GitHub" > + < + span className = "nav-icon" > + < + svg width = "16" + height = "16" + viewBox = "0 0 16 16" + fill = "currentColor" > + < + path d = "M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z" / > + < + /svg> < + /span> { + !isCollapsed && < span className = "nav-text" > VacLab < /span>} < + /a> < + a + href = "https://github.com/vacp2p/10ksim" + target = "_blank" + rel = "noopener noreferrer" + className = "nav-item" + title = "10ksim Repository" > + < + span className = "nav-icon" > 📦 < /span> { + !isCollapsed && < span className = "nav-text" > 10 ksim < /span>} < + /a> < + /div> < + /nav> < + /div> + ); + } + + export default Sidebar; \ No newline at end of file diff --git a/dst_dashboard/frontend/src/config.js b/dst_dashboard/frontend/src/config.js new file mode 100644 index 00000000..a2a9f8ee --- /dev/null +++ b/dst_dashboard/frontend/src/config.js @@ -0,0 +1,13 @@ +/** + * Configuration for API endpoint. + * + * Uses build-time environment variable (baked into the bundle during docker build). + * To change API URL, rebuild the image with: + * docker build --build-arg REACT_APP_API_URL=https://your-api.com -t frontend . + */ + +export const API_BASE_URL = process.env.REACT_APP_API_URL || ''; + +export default { + API_BASE_URL +}; \ No newline at end of file diff --git a/dst_dashboard/frontend/src/index.css b/dst_dashboard/frontend/src/index.css new file mode 100644 index 00000000..11b2aa55 --- /dev/null +++ b/dst_dashboard/frontend/src/index.css @@ -0,0 +1,25 @@ +body { + margin: 0; + font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; + background-color: #0a0a0a; + color: #ffffff; +} + +code { + font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New', monospace; +} + +* { + box-sizing: border-box; +} + +a { + color: #60a5fa; + text-decoration: none; +} + +a:hover { + text-decoration: underline; +} \ No newline at end of file diff --git a/dst_dashboard/frontend/src/index.js b/dst_dashboard/frontend/src/index.js new file mode 100644 index 00000000..b279aae5 --- /dev/null +++ b/dst_dashboard/frontend/src/index.js @@ -0,0 +1,13 @@ +import React from 'react'; +import ReactDOM from 'react-dom/client'; +import './index.css'; +import App from './App'; + +const root = ReactDOM.createRoot(document.getElementById('root')); +root.render( < + React.StrictMode > + < + App / > + < + /React.StrictMode> +); \ No newline at end of file diff --git a/dst_dashboard/frontend/src/pages/ExperimentPage.js b/dst_dashboard/frontend/src/pages/ExperimentPage.js new file mode 100644 index 00000000..6b78d0bb --- /dev/null +++ b/dst_dashboard/frontend/src/pages/ExperimentPage.js @@ -0,0 +1,211 @@ +import React, { useState, useEffect } from 'react'; +import { useParams } from 'react-router-dom'; +import axios from 'axios'; +import ReactECharts from 'echarts-for-react'; +import Sidebar from '../components/Sidebar'; +import { API_BASE_URL } from '../config'; + +function ExperimentPage() { + const { experimentId } = useParams(); + const [experiment, setExperiment] = useState(null); + const [panels, setPanels] = useState([]); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const [sidebarCollapsed, setSidebarCollapsed] = useState(false); + + useEffect(() => { + const fetchData = async () => { + try { + const expResponse = await axios.get(`${API_BASE_URL}/experiments/${experimentId}`); + setExperiment(expResponse.data); + + const panelsResponse = await axios.get(`${API_BASE_URL}/experiments/${experimentId}/panels`); + setPanels(panelsResponse.data.panels || []); + setLoading(false); + } catch (err) { + setError(err.message); + setLoading(false); + } + }; + fetchData(); + }, [experimentId]); + + if (loading) { + return ( +
+ setSidebarCollapsed(!sidebarCollapsed)} + /> +
+
+
Loading experiment...
+
+
+
+ ); + } + + if (error) { + return ( +
+ setSidebarCollapsed(!sidebarCollapsed)} + /> +
+
+
Error: {error}
+
+
+
+ ); + } + + return ( +
+ setSidebarCollapsed(!sidebarCollapsed)} + /> +
+
+
+
{experiment.family}
+

{experiment.title}

+ {experiment.description && ( +

{experiment.description}

+ )} +
+ {experiment.github_repo && ( + + + + + GitHub + + )} + {experiment.github_pr && ( + + 🔀 PR + + )} + {experiment.docker_image && ( + 🐳 {experiment.docker_image} + )} + {experiment.date && ( + 📅 {new Date(experiment.date).toLocaleDateString()} + )} +
+
+
+ +
+
+
+ {panels.map((panel) => { + // Process panel option to inject JavaScript formatters + const processedOption = JSON.parse(JSON.stringify(panel.option)); + + // Define formatter functions + const bytesFormatter = (value) => { + if (value >= 1073741824) return (value / 1073741824).toFixed(2) + ' GB/s'; + if (value >= 1048576) return (value / 1048576).toFixed(2) + ' MB/s'; + if (value >= 1024) return (value / 1024).toFixed(2) + ' KB/s'; + return value.toFixed(2) + ' B/s'; + }; + + const msFormatter = (value) => { + if (value >= 1000) return (value / 1000).toFixed(2) + ' s'; + return value.toFixed(2) + ' ms'; + }; + + const secondsFormatter = (value) => { + if (value >= 3600) return (value / 3600).toFixed(2) + ' h'; + if (value >= 60) return (value / 60).toFixed(2) + ' m'; + return value.toFixed(2) + ' s'; + }; + + const percentFormatter = (value) => { + return value.toFixed(2) + '%'; + }; + + const numberFormatter = (value) => { + if (value >= 1000000000) return (value / 1000000000).toFixed(2) + 'B'; + if (value >= 1000000) return (value / 1000000).toFixed(2) + 'M'; + if (value >= 1000) return (value / 1000).toFixed(2) + 'K'; + return value.toFixed(0); + }; + + // Replace formatter markers with actual functions + if (processedOption.yAxis?.axisLabel?.formatter === '__BYTES_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = bytesFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__BYTES_FORMATTER__') { + processedOption.tooltip.valueFormatter = bytesFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__MS_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = msFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__MS_FORMATTER__') { + processedOption.tooltip.valueFormatter = msFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__SECONDS_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = secondsFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__SECONDS_FORMATTER__') { + processedOption.tooltip.valueFormatter = secondsFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__PERCENT_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = percentFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__PERCENT_FORMATTER__') { + processedOption.tooltip.valueFormatter = percentFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__NUMBER_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = numberFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__NUMBER_FORMATTER__') { + processedOption.tooltip.valueFormatter = numberFormatter; + } + + return ( +
+

{panel.panel_title}

+ {panel.error ? ( +
Error: {panel.error}
+ ) : ( + + )} +
+ ); + })} +
+
+
+
+
+ ); +} + +export default ExperimentPage; diff --git a/dst_dashboard/frontend/src/pages/ExperimentPage_backup.js b/dst_dashboard/frontend/src/pages/ExperimentPage_backup.js new file mode 100644 index 00000000..5312c614 --- /dev/null +++ b/dst_dashboard/frontend/src/pages/ExperimentPage_backup.js @@ -0,0 +1,231 @@ +import React, { useState, useEffect } from 'react'; +import { useParams } from 'react-router-dom'; +import axios from 'axios'; +import ReactECharts from 'echarts-for-react'; +import Sidebar from '../components/Sidebar'; +import { API_BASE_URL } from '../config'; + +function ExperimentPage() { + const { experimentId } = useParams(); + const [experiment, setExperiment] = useState(null); + const [panels, setPanels] = useState([]); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const [sidebarCollapsed, setSidebarCollapsed] = useState(false); + + useEffect(() => { + const fetchData = async() => { + try { + const expResponse = await axios.get(`${API_BASE_URL}/experiments/${experimentId}`); + setExperiment(expResponse.data); + + const panelsResponse = await axios.get(`${API_BASE_URL}/experiments/${experimentId}/panels`); + setPanels(panelsResponse.data.panels || []); + setLoading(false); + } catch (err) { + setError(err.message); + setLoading(false); + } + }; + fetchData(); + }, [experimentId]); + + if (loading) { + return ( < + div className = "App" > + < + Sidebar isCollapsed = { sidebarCollapsed } + onToggle = { + () => setSidebarCollapsed(!sidebarCollapsed) } + /> < + div className = { `main-content ${sidebarCollapsed ? 'sidebar-collapsed' : ''}` } > + < + div className = "container" > + < + div className = "loading" > Loading experiment... < /div> < + /div> < + /div> < + /div> + ); + } + + if (error) { + return ( < + div className = "App" > + < + Sidebar isCollapsed = { sidebarCollapsed } + onToggle = { + () => setSidebarCollapsed(!sidebarCollapsed) } + /> < + div className = { `main-content ${sidebarCollapsed ? 'sidebar-collapsed' : ''}` } > + < + div className = "container" > + < + div className = "error" > Error: { error } < /div> < + /div> < + /div> < + /div> + ); + } + + return ( < + div className = "App" > + < + Sidebar isCollapsed = { sidebarCollapsed } + onToggle = { + () => setSidebarCollapsed(!sidebarCollapsed) } + /> < + div className = { `main-content ${sidebarCollapsed ? 'sidebar-collapsed' : ''}` } > + < + div className = "page-header" > + < + div className = "header-content" > + < + div className = "experiment-category-label" > { experiment.family } < /div> < + h1 className = "page-title" > { experiment.title } < /h1> { + experiment.description && ( < + p className = "page-subtitle" > { experiment.description } < /p> + ) + } < + div className = "experiment-meta-links" > { + experiment.github_repo && ( < + a href = { experiment.github_repo } + className = "meta-link" + target = "_blank" + rel = "noopener noreferrer" > + < + svg width = "14" + height = "14" + viewBox = "0 0 16 16" + fill = "currentColor" > + < + path d = "M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z" / > + < + /svg> + GitHub < + /a> + ) + } { + experiment.github_pr && ( < + a href = { experiment.github_pr } + className = "meta-link" + target = "_blank" + rel = "noopener noreferrer" > + 🔀PR < + /a> + ) + } { + experiment.docker_image && ( < + span className = "meta-badge" > 🐳{ experiment.docker_image } < /span> + ) + } { + experiment.date && ( < + span className = "meta-badge" > 📅{ new Date(experiment.date).toLocaleDateString() } < /span> + ) + } < + /div> < + /div> < + /div> + + < + div className = "container" > + < + div className = "panels-section" > + < +
+ {panels.map((panel) => { + // Process panel option to inject JavaScript formatters + const processedOption = JSON.parse(JSON.stringify(panel.option)); + + // Define formatter functions + const bytesFormatter = (value) => { + if (value >= 1073741824) return (value / 1073741824).toFixed(2) + ' GB/s'; + if (value >= 1048576) return (value / 1048576).toFixed(2) + ' MB/s'; + if (value >= 1024) return (value / 1024).toFixed(2) + ' KB/s'; + return value.toFixed(2) + ' B/s'; + }; + + const msFormatter = (value) => { + if (value >= 1000) return (value / 1000).toFixed(2) + ' s'; + return value.toFixed(2) + ' ms'; + }; + + const secondsFormatter = (value) => { + if (value >= 3600) return (value / 3600).toFixed(2) + ' h'; + if (value >= 60) return (value / 60).toFixed(2) + ' m'; + return value.toFixed(2) + ' s'; + }; + + const percentFormatter = (value) => { + return value.toFixed(2) + '%'; + }; + + const numberFormatter = (value) => { + if (value >= 1000000000) return (value / 1000000000).toFixed(2) + 'B'; + if (value >= 1000000) return (value / 1000000).toFixed(2) + 'M'; + if (value >= 1000) return (value / 1000).toFixed(2) + 'K'; + return value.toFixed(0); + }; + + // Replace formatter markers with actual functions + if (processedOption.yAxis?.axisLabel?.formatter === '__BYTES_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = bytesFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__BYTES_FORMATTER__') { + processedOption.tooltip.valueFormatter = bytesFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__MS_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = msFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__MS_FORMATTER__') { + processedOption.tooltip.valueFormatter = msFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__SECONDS_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = secondsFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__SECONDS_FORMATTER__') { + processedOption.tooltip.valueFormatter = secondsFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__PERCENT_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = percentFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__PERCENT_FORMATTER__') { + processedOption.tooltip.valueFormatter = percentFormatter; + } + + if (processedOption.yAxis?.axisLabel?.formatter === '__NUMBER_FORMATTER__') { + processedOption.yAxis.axisLabel.formatter = numberFormatter; + } + if (processedOption.tooltip?.valueFormatter === '__NUMBER_FORMATTER__') { + processedOption.tooltip.valueFormatter = numberFormatter; + } + + return ( +
+

{panel.panel_title}

+ {panel.error ? ( +
Error: {panel.error}
+ ) : ( + + )} +
+ ); + })} +
+ + + + + ); +} + +export default ExperimentPage; \ No newline at end of file diff --git a/dst_dashboard/frontend/src/pages/HomePage.js b/dst_dashboard/frontend/src/pages/HomePage.js new file mode 100644 index 00000000..ec591af4 --- /dev/null +++ b/dst_dashboard/frontend/src/pages/HomePage.js @@ -0,0 +1,202 @@ +import React, { useState, useEffect } from 'react'; +import { useNavigate } from 'react-router-dom'; +import axios from 'axios'; +import ReactECharts from 'echarts-for-react'; +import Sidebar from '../components/Sidebar'; +import { API_BASE_URL } from '../config'; + +function HomePage() { + const [familiesData, setFamiliesData] = useState(null); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const [selectedCategory, setSelectedCategory] = useState('all'); + const [sidebarCollapsed, setSidebarCollapsed] = useState(false); + const navigate = useNavigate(); + + useEffect(() => { + fetchFamilies(); + }, []); + + const fetchFamilies = async () => { + try { + const response = await axios.get(`${API_BASE_URL}/experiments/families`); + setFamiliesData(response.data); + setLoading(false); + } catch (err) { + setError(err.message); + setLoading(false); + } + }; + + if (loading) { + return ( +
+ setSidebarCollapsed(!sidebarCollapsed)} + /> +
+
+
Loading experiments...
+
+
+
+ ); + } + + if (error) { + return ( +
+ setSidebarCollapsed(!sidebarCollapsed)} + /> +
+
+
Error loading experiments: {error}
+
+
+
+ ); + } + + const totalExperiments = familiesData?.total_experiments || 0; + const totalFamilies = familiesData?.total_families || 0; + + const allExperiments = []; + familiesData?.families?.forEach((family) => { + family.experiments?.forEach((exp) => { + allExperiments.push({ + ...exp, + family: family.name + }); + }); + }); + + const filteredExperiments = selectedCategory === 'all' + ? allExperiments + : allExperiments.filter(exp => exp.family === selectedCategory); + + return ( +
+ setSidebarCollapsed(!sidebarCollapsed)} + /> +
+
+
+

DST Dashboard

+

Distributed Systems Testing Analytics

+
+
+ +
+
+

Categories

+
+
setSelectedCategory('all')} + > + All Experiments + {allExperiments.length} +
+ {familiesData?.families?.map((family) => ( +
setSelectedCategory(family.name)} + > + {family.name} + {family.experiments?.length || 0} +
+ ))} +
+
+ +
+

+ {selectedCategory === 'all' ? 'All Experiments' : `${selectedCategory} Experiments`} +

+
+ {filteredExperiments.map((experiment) => ( +
navigate(`/experiment/${experiment.id}`)} + > +
+

{experiment.title}

+ {experiment.date && ( + + 📅 {new Date(experiment.date).toLocaleDateString('en-US', { + month: 'short', + day: 'numeric' + })} + + )} +
+ + {experiment.description && ( +

{experiment.description}

+ )} + +
+ {experiment.github_repo && ( + e.stopPropagation()} + target="_blank" + rel="noopener noreferrer" + > + + + + GitHub + + )} + {experiment.github_pr && ( + e.stopPropagation()} + target="_blank" + rel="noopener noreferrer" + > + 🔀 PR + + )} + {experiment.docker_image && ( + + 🐳 {experiment.docker_image.split(':').pop()} + + )} +
+
+ ))} +
+
+ +
+
+
+

{totalExperiments}

+

Total Experiments

+

Last updated {new Date().toLocaleDateString()}

+
+
+

{totalFamilies}

+

Categories

+

Last updated {new Date().toLocaleDateString()}

+
+
+
+
+
+
+ ); +} + +export default HomePage; diff --git a/dst_dashboard/frontend/src/pages/HomePage.js.backup b/dst_dashboard/frontend/src/pages/HomePage.js.backup new file mode 100644 index 00000000..3c86893f --- /dev/null +++ b/dst_dashboard/frontend/src/pages/HomePage.js.backup @@ -0,0 +1,380 @@ +import React, { useState, useEffect } from 'react'; +import { useNavigate } from 'react-router-dom'; +import axios from 'axios'; +import ReactECharts from 'echarts-for-react'; +import Sidebar from '../components/Sidebar'; + +function HomePage() { + const [familiesData, setFamiliesData] = useState(null); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const [selectedCategory, setSelectedCategory] = useState('all'); + const [sidebarCollapsed, setSidebarCollapsed] = useState(false); + const navigate = useNavigate(); + + useEffect(() => { + fetchFamilies(); + }, []); + + const fetchFamilies = async() => { + try { + const response = await axios.get('/experiments/families'); + setFamiliesData(response.data); + setLoading(false); + } catch (err) { + setError(err.message); + setLoading(false); + } + }; + + if (loading) { + return ( < + div className = "App" > + < + Sidebar isCollapsed = { sidebarCollapsed } + onToggle = { + () => setSidebarCollapsed(!sidebarCollapsed) + } + /> < + div className = { `main-content ${sidebarCollapsed ? 'sidebar-collapsed' : ''}` } > + < + div className = "container" > + < + div className = "loading" > Loading experiments... < /div> < / + div > < + /div> < / + div > + ); + } + + if (error) { + return ( < + div className = "App" > + < + Sidebar isCollapsed = { sidebarCollapsed } + onToggle = { + () => setSidebarCollapsed(!sidebarCollapsed) + } + /> < + div className = { `main-content ${sidebarCollapsed ? 'sidebar-collapsed' : ''}` } > + < + div className = "container" > + < + div className = "error" > Error loading experiments: { error } < /div> < / + div > < + /div> < / + div > + ); + } + + const totalExperiments = familiesData ? .total_experiments || 0; + const totalFamilies = familiesData ? .total_families || 0; + + const allExperiments = []; + familiesData ? .families ? .forEach((family) => { + family.experiments ? .forEach((exp) => { + allExperiments.push({ + ...exp, + family: family.name + }); + }); + }); + + const filteredExperiments = selectedCategory === 'all' ? + allExperiments : + allExperiments.filter(exp => exp.family === selectedCategory); + + const getTimelineOption = () => { + const sorted = [...allExperiments] + .filter(exp => exp.date) + .sort((a, b) => new Date(a.date) - new Date(b.date)); + + if (sorted.length === 0) { + return { + title: { text: 'No timeline data', left: 'center', top: 'center', textStyle: { color: '#666666', fontSize: 14 } } + }; + } + + const timelineData = sorted.map((exp, idx) => ({ + value: [exp.date, 0], + title: exp.title, + family: exp.family, + date: exp.date, + itemStyle: { + color: idx % 2 === 0 ? '#ffffff' : '#999999', + borderColor: '#000000', + borderWidth: 3, + shadowBlur: 15, + shadowColor: 'rgba(255, 255, 255, 0.4)' + } + })); + + return { + backgroundColor: 'transparent', + grid: { + left: '10%', + right: '10%', + top: '20%', + bottom: '20%', + containLabel: true + }, + xAxis: { + type: 'time', + boundaryGap: false, + axisLine: { + lineStyle: { + color: '#666666', + width: 1 + } + }, + axisTick: { + show: false + }, + axisLabel: { + color: '#999999', + fontSize: 11, + formatter: (value) => { + const date = new Date(value); + return date.toLocaleDateString('en-US', { + month: 'short', + day: 'numeric' + }); + } + }, + splitLine: { + show: false + } + }, + yAxis: { + show: false, + type: 'value' + }, + tooltip: { + trigger: 'item', + backgroundColor: '#1a1a1a', + borderColor: '#333333', + borderWidth: 1, + textStyle: { + color: '#ffffff', + fontSize: 12 + }, + formatter: (params) => { + return ` +
+
${params.data.title}
+
${params.data.family}
+
${new Date(params.data.date).toLocaleDateString('en-US', { + month: 'short', + day: 'numeric' + })}
+
+ `; + } + }, + series: [{ + type: 'line', + data: timelineData, + lineStyle: { + color: '#666666', + width: 2 + }, + symbol: 'none', + smooth: false, + z: 1 + }, + { + type: 'scatter', + data: timelineData, + symbolSize: 10, + label: { + show: false + }, + emphasis: { + scale: 1.8, + itemStyle: { + shadowBlur: 15, + shadowColor: 'rgba(255, 255, 255, 0.8)', + borderWidth: 4 + } + }, + z: 2 + } + ] + }; + }; + + return ( < + div className = "App" > + < + Sidebar isCollapsed = { sidebarCollapsed } + onToggle = { + () => setSidebarCollapsed(!sidebarCollapsed) + } + /> < + div className = { `main-content ${sidebarCollapsed ? 'sidebar-collapsed' : ''}` } > + < + div className = "page-header" > + < + div className = "header-content" > + < + h1 className = "page-title" > DST Dashboard < /h1> < + p className = "page-subtitle" > Distributed Systems Testing Analytics < /p> < / + div > < + /div> + + < + div className = "overview-section" > + < + div className = "hero-stats" > + < + div className = "hero-stat-card" > + < + p className = "hero-stat-value" > { totalExperiments } < /p> < + p className = "hero-stat-label" > Total Experiments < /p> < + p className = "hero-stat-date" > Last updated { new Date().toLocaleDateString() } < /p> < / + div > < + div className = "hero-stat-card" > + < + p className = "hero-stat-value" > { totalFamilies } < /p> < + p className = "hero-stat-label" > Categories < /p> < + p className = "hero-stat-date" > Last updated { new Date().toLocaleDateString() } < /p> < / + div > < + /div> + + { + /* allExperiments.some(exp => exp.date) && ( < + div className = "timeline-section" > + < + h3 className = "timeline-title" > Timeline < /h3> < + div className = "chart-container" > + < + ReactECharts option = { getTimelineOption() } + style = { + { height: '200px', width: '100%' } } + notMerge = { true } + lazyUpdate = { true } + /> < + /div> < + /div> + ) */ + } < + /div> + + < + div className = "container" > + < + div className = "categories-section" > + < + h2 className = "section-title" > Categories < /h2> < + div className = "category-boxes" > + < + div className = { `category-box ${selectedCategory === 'all' ? 'active' : ''}` } + onClick = { + () => setSelectedCategory('all') + } > + < + span className = "category-box-name" > All Experiments < /span> < + span className = "category-box-count" > { allExperiments.length } < /span> < / + div > { + familiesData ? .families ? .map((family) => ( < + div key = { family.name } + className = { `category-box ${selectedCategory === family.name ? 'active' : ''}` } + onClick = { + () => setSelectedCategory(family.name) + } > + < + span className = "category-box-name" > { family.name } < /span> < + span className = "category-box-count" > { family.experiments ? .length || 0 } < /span> < / + div > + )) + } < + /div> < / + div > + + < + div className = "experiments-section" > + < + h2 className = "section-title" > { selectedCategory === 'all' ? 'All Experiments' : `${selectedCategory} Experiments` } < + /h2> < + div className = "experiments-grid" > { + filteredExperiments.map((experiment) => ( < + div key = { experiment.id } + className = "experiment-card" + onClick = { + () => navigate(`/experiment/${experiment.id}`) + } > + < + div className = "experiment-header-card" > + < + h3 className = "experiment-title" > { experiment.title } < /h3> { + experiment.date && ( < + span className = "experiment-date" > 📅{ + new Date(experiment.date).toLocaleDateString('en-US', { + month: 'short', + day: 'numeric' + }) + } < + /span> + ) + } < + /div> + + { + experiment.description && ( < + p className = "experiment-description" > { experiment.description } < /p> + ) + } + + < + div className = "experiment-meta" > { + experiment.github_repo && ( < + a href = { experiment.github_repo } + className = "meta-link" + onClick = { + (e) => e.stopPropagation() + } + target = "_blank" + rel = "noopener noreferrer" > + < + svg width = "12" + height = "12" + viewBox = "0 0 16 16" + fill = "currentColor" > + < + path d = "M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z" / > + < + /svg> + GitHub < + /a> + ) + } { + experiment.github_pr && ( < + a href = { experiment.github_pr } + className = "meta-link" + onClick = { + (e) => e.stopPropagation() + } + target = "_blank" + rel = "noopener noreferrer" > 🔀PR < + /a> + ) + } { + experiment.docker_image && ( < + span className = "meta-badge" + title = { experiment.docker_image } > 🐳{ experiment.docker_image.split(':').pop() } < + /span> + ) + } < + /div> < / + div > + )) + } < + /div> < / + div > < + /div> < / + div > < + /div> +); +} + +export default HomePage; \ No newline at end of file diff --git a/dst_dashboard/k8s/backend.yaml b/dst_dashboard/k8s/backend.yaml new file mode 100644 index 00000000..90cd9c6d --- /dev/null +++ b/dst_dashboard/k8s/backend.yaml @@ -0,0 +1,341 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: dst-dashboard +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: dst-dashboard-config + namespace: dst-dashboard +data: + config.yaml: | + # DST Explorer Configuration + # Global datasources - defined once, referenced by all experiments + + datasources: + - name: victoria-logs + type: VictoriaLogs + url: https://vlselect.lab.vac.dev/select/logsql/query + + - name: victoria-metrics + type: Prometheus + url: https://metrics.lab.vac.dev/select/0/prometheus/api/v1/ + + experiments: + - id: gossipsub-pq-s1-2026-06-12 + title: "GossipSub Priority Queues: Medium Queue Overflow" + family: libp2p/gossipsub + publish: true + description: "Analysis of medium priority queue behavior under high load conditions" + github_repo: "https://github.com/vacp2p/nim-libp2p" + github_pr: "https://github.com/vacp2p/nim-libp2p/pull/1234" + docker_image: "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4" + date: "2026-06-12" + + metadata: + scenario: S1 + namespace: libp2p-lab + date: "2026-06-12" + num_normal_nodes: 1 + num_slow_nodes: 1 + # Stack info for data fetching (from 10ksim metadata.json) + statefulsets: ["nimp2p"] + nodes: [2] + container_name: "pod-0" + + datasets: + - name: message-delays + datasource: victoria-logs + timeRange: + start: "2026-06-12T22:09:00Z" + end: "2026-06-12T22:13:30Z" + query: + namespace: libp2p-lab + tracer: nimlibp2p + pattern: received + schema: + - name: timestamp + type: datetime + - name: pod_name + type: string + - name: delayMs + type: float + + - name: queue-drops + datasource: victoria-metrics + timeRange: + start: "2026-06-12T22:09:00Z" + end: "2026-06-12T22:13:30Z" + query: + expr: increase(libp2p_pubsub_medium_priority_queue_drops_total{namespace="libp2p-lab"}[1m]) + step: 15s + scrapeInterval: 10s + schema: + - name: timestamp + type: datetime + - name: pod + type: string + - name: value + type: float + + panels: + - name: delay-boxplot + title: Message Delivery Delay Distribution + type: boxplot + dataset: message-delays + publish: true + transform: + derive: + - name: pod_group + function: regex_match + field: pod_name + pattern: ".*slow.*" + match: slow + no_match: normal + groupBy: pod_group + value: delayMs + + - name: medium-queue-drops + title: Medium Queue Drops Over Time + type: timeseries + dataset: queue-drops + publish: true + transform: + x: timestamp + y: value + groupBy: pod + top: 10 + style: + yLabel: Drops + yUnit: number + + - id: gossipsub-yamux-s0-2026-07-05 + title: "GossipSub 100 Node Regression Test" + family: libp2p/gossipsub + publish: true + description: "GossipSub performance with 100 nodes using yamux muxer" + github_repo: "https://github.com/vacp2p/nim-libp2p" + docker_image: "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4" + date: "2026-07-05" + + metadata: + scenario: S0 + namespace: libp2p-lab + muxer: yamux + num_normal_nodes: 100 + num_slow_nodes: 0 + total_peers: 10 + connect_to: 6 + gossipsub_d: 6 + statefulsets: ["nimp2p"] + nodes: [100] + container_name: "pod-0" + + datasets: + - name: message-delays + datasource: victoria-logs + timeRange: + start: "2026-07-05T17:47:11Z" + end: "2026-07-05T17:55:00Z" + query: + namespace: libp2p-lab + tracer: nimlibp2p + pattern: received + schema: + - name: timestamp + type: datetime + - name: pod_name + type: string + - name: delayMs + type: float + + - name: bandwidth-usage-dl + datasource: victoria-metrics + timeRange: + start: "2026-07-05T17:47:11Z" + end: "2026-07-05T17:55:00Z" + query: + expr: rate(container_network_transmit_bytes_total{namespace="libp2p-lab"}[1m]) + step: 15s + scrapeInterval: 10s + schema: + - name: timestamp + type: datetime + - name: pod + type: string + - name: value + type: float + + - name: bandwidth-usage-ul + datasource: victoria-metrics + timeRange: + start: "2026-07-05T17:47:11Z" + end: "2026-07-05T17:55:00Z" + query: + expr: rate(container_network_receive_bytes_total{namespace="libp2p-lab"}[1m]) + step: 15s + scrapeInterval: 10s + schema: + - name: timestamp + type: datetime + - name: pod + type: string + - name: value + type: float + + panels: + - name: delay-boxplot-top10 + title: Message Delivery Delay (Top 10 Peers) + type: boxplot + dataset: message-delays + publish: true + transform: + groupBy: pod_name + value: delayMs + top: 10 + + - name: delay-timeseries-top10 + title: Message Delay Over Time (Top 10 Peers) + type: timeseries + dataset: message-delays + publish: true + transform: + x: timestamp + y: delayMs + groupBy: pod_name + top: 10 + style: + yLabel: Delay (ms) + + - name: bandwidth-usage-dl-chart + title: Network Bandwidth Usage DL + type: timeseries + dataset: bandwidth-usage-dl + publish: true + transform: + x: timestamp + y: value + groupBy: pod + top: 10 + style: + yLabel: Download + yUnit: bytes/s + + - name: bandwidth-usage-ul-chart + title: Network Bandwidth Usage UL + type: timeseries + dataset: bandwidth-usage-ul + publish: true + transform: + x: timestamp + y: value + groupBy: pod + top: 10 + style: + yLabel: Upload + yUnit: bytes/s + +--- +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: dst-dashboard-pvc + namespace: dst-dashboard +spec: + accessModes: + - ReadWriteOnce + storageClassName: longhorn-vaclab + resources: + requests: + storage: 20Gi +--- +apiVersion: apps/v1 +kind: StatefulSet +metadata: + name: dst-dashboard-backend + namespace: dst-dashboard +spec: + serviceName: dst-dashboard-backend + replicas: 1 + selector: + matchLabels: + app: dst-dashboard-backend + template: + metadata: + labels: + app: dst-dashboard-backend + spec: + containers: + - name: dst-dashboard-backend + image: mamoutoudiarra/dst-dashboard-backend:dev-0.3 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 8000 + name: http + env: + - name: DST_DB_PATH + value: /app/data/dashboard + - name: DST_CONFIG_PATH + value: /app/config/config.yaml + volumeMounts: + - name: data + mountPath: /app/data + - name: config + mountPath: /app/config + readOnly: true + resources: + requests: + memory: "4Gi" + cpu: "2" + limits: + memory: "16Gi" + cpu: "4" + volumes: + - name: data + persistentVolumeClaim: + claimName: dst-dashboard-pvc + - name: config + configMap: + name: dst-dashboard-config +--- +apiVersion: v1 +kind: Service +metadata: + name: dst-dashboard-backend + namespace: dst-dashboard +spec: + selector: + app: dst-dashboard-backend + ports: + - protocol: TCP + port: 8000 + targetPort: 8000 + type: ClusterIP + clusterIP: None +--- +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: dst-dashboard-backend-ingress + namespace: dst-dashboard + annotations: + traefik.ingress.kubernetes.io/router.middlewares: default-redirect-https@kubernetescrd + cert-manager.io/cluster-issuer: letsencrypt-prod +spec: + ingressClassName: traefik + tls: + - hosts: + - api.dev.dashboard.lab.vac.dev + secretName: dashboard-backend-tls + rules: + - host: api.dev.dashboard.lab.vac.dev + http: + paths: + - path: / + pathType: Prefix + backend: + service: + name: dst-dashboard-backend + port: + number: 8000 diff --git a/dst_dashboard/k8s/frontend.yaml b/dst_dashboard/k8s/frontend.yaml new file mode 100644 index 00000000..5582dd82 --- /dev/null +++ b/dst_dashboard/k8s/frontend.yaml @@ -0,0 +1,70 @@ +apiVersion: apps/v1 +kind: StatefulSet +metadata: + name: dst-dashboard-frontend + namespace: dst-dashboard +spec: + serviceName: dst-dashboard-frontend + replicas: 2 + selector: + matchLabels: + app: dst-dashboard-frontend + template: + metadata: + labels: + app: dst-dashboard-frontend + spec: + containers: + - name: frontend + image: mamoutoudiarra/dst-dashboard-frontend:dev-0.3 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 80 + name: http + resources: + requests: + memory: "512Mi" + cpu: "500m" + limits: + memory: "2Gi" + cpu: "2" +--- +apiVersion: v1 +kind: Service +metadata: + name: dst-dashboard-frontend + namespace: dst-dashboard +spec: + selector: + app: dst-dashboard-frontend + ports: + - protocol: TCP + port: 80 + targetPort: 80 + type: ClusterIP +--- +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: dst-dashboard-frontend-ingress + namespace: dst-dashboard + annotations: + traefik.ingress.kubernetes.io/router.middlewares: default-redirect-https@kubernetescrd + cert-manager.io/cluster-issuer: letsencrypt-prod +spec: + ingressClassName: traefik + tls: + - hosts: + - dev.dashboard.lab.vac.dev + secretName: dashboard-frontend-tls + rules: + - host: dev.dashboard.lab.vac.dev + http: + paths: + - path: / + pathType: Prefix + backend: + service: + name: dst-dashboard-frontend + port: + number: 80 diff --git a/dst_dashboard/main.py b/dst_dashboard/main.py index bc056ba9..f4ac66b0 100644 --- a/dst_dashboard/main.py +++ b/dst_dashboard/main.py @@ -1,7 +1,21 @@ from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware +import sys +import logging -from dst_dashboard.api import experiments, datasets, panels +from dst_dashboard.api import admin, datasets, datasources, experiments, panels +from dst_dashboard.api.utils import process_experiments +from dst_dashboard.config.utils import LoadConfig +from dst_dashboard.config.data_structures import ExperimentConfig +from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.processors.experiment_processor import ExperimentProcessor + +logging.basicConfig( + level=logging.DEBUG, + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', + handlers=[logging.StreamHandler()] +) +logger = logging.getLogger(__name__) app = FastAPI( title="DST Dashboard API", @@ -12,6 +26,87 @@ openapi_url="/api/openapi.json", ) + +@app.on_event("startup") +def on_startup(): + """ + Initialize application on startup. + + Workflow: + 1. Load config.yaml (datasources + experiments) + 2. Store datasources in database + 3. Process config.yaml experiments (config takes precedence, overwrites DB) + 4. Process DB-only experiments (not in config.yaml) + 5. Only reprocess experiments missing data (datasets or panels) + """ + try: + logger.info("Starting DST Dashboard initialization...") + + config = LoadConfig().WithValidateDatasources() + logger.info( + f"Loaded {len(config.datasources)} datasources and " + f"{len(config.experiments)} experiments from config.yaml" + ) + + app.state.config = config + app.state.datasources = config.datasources + + db = DSTDatabase() + db.insert_datasource_list(config.datasources) + logger.info(f"Stored {len(config.datasources)} datasources") + + processor = ExperimentProcessor(config, db) + + # Phase 1: Process config.yaml experiments + logger.info("Phase 1: Processing experiments from config.yaml...") + config_ids = set() + phase1_stats = process_experiments( + experiments=config.experiments, + db=db, + processor=processor, + experiment_ids_tracker=config_ids, + max_workers=1 # Sequential - SQLite has issues with parallel experiment creation + ) + logger.info( + f"Phase 1 completed: {phase1_stats['processed']} processed, " + f"{phase1_stats['failed']} failed" + ) + + # Phase 2: Process DB-only experiments + logger.info("Phase 2: Processing DB-only experiments...") + db_experiments = [ + ExperimentConfig(**exp_data) + for exp_data in db.list_experiments() + if exp_data.get("id") not in config_ids + ] + phase2_stats = process_experiments( + experiments=db_experiments, + db=db, + processor=processor + ) + logger.info( + f"Phase 2 completed: {phase2_stats['processed']} processed, " + f"{phase2_stats['failed']} failed" + ) + + # Summary + total_processed = phase1_stats['processed'] + phase2_stats['processed'] + total_failed = phase1_stats['failed'] + phase2_stats['failed'] + logger.info( + f"Initialization completed: {total_processed} experiments processed, " + f"{total_failed} failed" + ) + + if phase1_stats['failed_list']: + logger.warning( + f"Failed experiments: {[e['title'] for e in phase1_stats['failed_list']]}" + ) + + except Exception as e: + logger.error(f"Failed to initialize DST Dashboard: {e}", exc_info=True) + sys.exit(1) + + # Enable CORS for frontend app.add_middleware( CORSMiddleware, @@ -22,7 +117,9 @@ ) # Include routers +app.include_router(admin.router) app.include_router(experiments.router) +app.include_router(datasources.router) app.include_router(datasets.router) app.include_router(panels.router) @@ -32,13 +129,10 @@ async def root(): return { "service": "DST Dashboard API", "version": "0.1.0", - "swagger": "/api/docs", - "redoc": "/api/redoc", - "openapi": "/api/openapi.json", + "docs": "/api/docs", } if __name__ == "__main__": import uvicorn - uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/dst_dashboard/processors/dataset_processor.py b/dst_dashboard/processors/dataset_processor.py index ca7b1c1b..9e9f9d62 100644 --- a/dst_dashboard/processors/dataset_processor.py +++ b/dst_dashboard/processors/dataset_processor.py @@ -1,24 +1,374 @@ -"""Dataset processor - fetches data using 10ksim classes. - -Skeleton implementation. -""" +"""Dataset processor - base class for fetching and processing datasets.""" import logging +from typing import Dict, List, Any, Optional + +import pandas as pd +from result import Ok, Err + +from dst_dashboard.config.data_structures import ( + DatasetConfig, + DataSourceConfig, + ExperimentConfig, + DashboardFullConfig +) +from dst_dashboard.storage.db import DSTDatabase +from src.analysis.mesh_analysis.analyzers.data_puller import DataPuller +from src.analysis.metrics import scrape_utils +from src.analysis.mesh_analysis.readers.tracers.message_tracer import MessageTracer logger = logging.getLogger(__name__) class DatasetProcessor: - """Fetches datasets using DataPuller or Scrapper.""" + """ + Base processor for datasets - fetches data using DataPuller or scrape_utils. + + This is the base class in the processor hierarchy: + ExperimentProcessor -> PanelProcessor -> DatasetProcessor + """ + + def __init__(self, config: DashboardFullConfig, db: DSTDatabase): + """ + Initialize dataset processor. + + Args: + config: Dashboard configuration + db: Database instance + """ + self.config = config + self.db = db + self._datasources = {ds.name: ds for ds in config.datasources} + + def _get_datasource(self, datasource_name: str) -> Optional[DataSourceConfig]: + """Get datasource configuration by name.""" + return self._datasources.get(datasource_name) + + def _get_experiment(self, experiment_id: str) -> Optional[ExperimentConfig]: + """Get experiment configuration by ID.""" + for exp in self.config.experiments: + if exp.id == experiment_id: + return exp + return None + + def _apply_schema(self, data_rows: List[Dict[str, Any]], dataset_config: DatasetConfig) -> List[Dict[str, Any]]: + """ + Apply schema to data rows - filter fields and apply type conversions. + + Args: + data_rows: Raw data rows + dataset_config: Dataset configuration with schema + + Returns: + Data rows with only schema fields and proper types + """ + if not dataset_config.schema: + return data_rows + + schema_fields = {field.name: field.type for field in dataset_config.schema} + filtered_rows = [] + + for row in data_rows: + filtered_row = {} + for field_name, field_type in schema_fields.items(): + if field_name not in row: + continue + + value = row[field_name] + + # Apply type conversions + try: + if field_type == "datetime": + if not isinstance(value, pd.Timestamp): + value = pd.to_datetime(value) + elif field_type == "float": + value = float(value) + elif field_type == "int": + value = int(value) + elif field_type == "string": + value = str(value) + + filtered_row[field_name] = value + except (ValueError, TypeError) as e: + logger.warning(f"Failed to convert field '{field_name}' to {field_type}: {e}") + continue + + if filtered_row: # Only add if we have at least some fields + filtered_rows.append(filtered_row) + + return filtered_rows + + def fetch_dataset( + self, experiment_id: str, dataset_config: DatasetConfig + ) -> List[Dict[str, Any]]: + """ + Fetch dataset using appropriate fetcher based on datasource type. + + Args: + experiment_id: Experiment identifier + dataset_config: Dataset configuration from config + + Returns: + List of data rows as dictionaries + + Raises: + ValueError: If datasource not found or type unsupported + Exception: If data fetching fails + """ + datasource = self._get_datasource(dataset_config.datasource) + if not datasource: + raise ValueError( + f"Datasource '{dataset_config.datasource}' not found for dataset '{dataset_config.name}'" + ) - def __init__(self, experiment_config, datasources): - self.experiment_config = experiment_config - self.datasources = datasources + experiment = self._get_experiment(experiment_id) + if not experiment: + raise ValueError(f"Experiment '{experiment_id}' not found") - def fetch_dataset(self, dataset_config): + try: + if datasource.type == "VictoriaLogs": + return self._fetch_from_victorialogs(dataset_config, datasource, experiment) + elif datasource.type == "Prometheus": + return self._fetch_from_prometheus(dataset_config, datasource, experiment) + else: + raise ValueError(f"Unsupported datasource type: {datasource.type}") + except Exception as e: + logger.error( + f"Failed to fetch dataset '{dataset_config.name}' from {datasource.type}: {e}" + ) + raise + + def _get_tracer_for_dataset(self, dataset_config: DatasetConfig): """ - TODO: - - Use DataPuller for VictoriaLogs - - Use Scrapper for Prometheus + Create appropriate tracer based on dataset configuration. + + Args: + dataset_config: Dataset configuration + + Returns: + Configured tracer instance """ - logger.warning(f"fetch_dataset not implemented: {dataset_config.name}") - return [] + tracer_type = dataset_config.query.tracer + pattern = dataset_config.query.pattern + + # Extract kubernetes fields from schema that need to be fetched as extra_fields + extra_fields = [] + for field in dataset_config.schema: + # Map common schema field names to kubernetes field names + if field.name == "pod_name": + extra_fields.append("kubernetes.pod_name") + elif field.name == "namespace": + extra_fields.append("kubernetes.namespace") + elif field.name == "container_name": + extra_fields.append("kubernetes.container_name") + elif field.name.startswith("kubernetes."): + extra_fields.append(field.name) + + if tracer_type == "nimlibp2p": + from src.analysis.mesh_analysis.readers.tracers.nimlibp2p_tracer import Nimlibp2pTracer + tracer = Nimlibp2pTracer() + + if extra_fields: + tracer = tracer.with_extra_fields(extra_fields) + + # Use specific pattern if provided + if pattern == "received": + tracer = tracer.with_received_pattern_group() + elif pattern == "sent": + tracer = tracer.with_sent_pattern_group() + else: + # Default to received for message delay analysis + tracer = tracer.with_received_pattern_group() + + return tracer + else: + # Fallback to generic MessageTracer + + tracer = MessageTracer() + if pattern: + tracer.with_wildcard_pattern() + else: + tracer.with_wildcard_pattern() + return tracer + + def _fetch_from_victorialogs( + self, dataset_config: DatasetConfig, datasource: DataSourceConfig, experiment: ExperimentConfig + ) -> List[Dict[str, Any]]: + """Fetch logs from VictoriaLogs using DataPuller.""" + logger.info(f"Fetching dataset '{dataset_config.name}' from VictoriaLogs") + + # Get statefulsets and nodes from experiment metadata + stateful_sets = experiment.metadata.get("statefulsets", []) + nodes_per_ss = experiment.metadata.get("nodes", []) + + if not stateful_sets or not nodes_per_ss: + logger.warning( + f"Experiment '{experiment.id}' missing statefulsets or nodes in metadata - returning empty dataset" + ) + return [] + + # Build kwargs for DataPuller + kwargs = { + "url": datasource.url, + "start_time": dataset_config.timeRange.start.isoformat(), + "end_time": dataset_config.timeRange.end.isoformat(), + "extra_fields": [field.name for field in dataset_config.schema], + "namespace": dataset_config.query.namespace or experiment.metadata.get("namespace", ""), + "stateful_sets": stateful_sets, + "nodes_per_statefulset": nodes_per_ss, + "container_name": experiment.metadata.get("container_name", ""), + } + + # Get tracer based on configuration + tracer = self._get_tracer_for_dataset(dataset_config) + + # Initialize logging queue for DataPuller + from src.analysis.utils.log_utils import apply_config, Config + try: + # Set up minimal config to initialize the log queue + config = Config( + logger_name="data_puller", + level=logging.INFO, + fmt="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + handlers=[], + tz_offset_hours=0, + ) + apply_config(config) + logger.debug("Log queue initialized for DataPuller") + except Exception as e: + logger.debug(f"Log queue initialization skipped: {e}") + + # Initialize DataPuller + data_puller = DataPuller().with_kwargs(kwargs).with_source_type("victoria") + + try: + logger.debug(f"DataPuller kwargs: {kwargs}") + logger.debug(f"Fetching with stateful_sets={stateful_sets}, nodes_per_ss={nodes_per_ss}") + + # Fetch dataframes from VictoriaLogs + results = data_puller.get_all_node_dataframes(tracer, stateful_sets, nodes_per_ss) + + logger.debug(f"DataPuller returned {len(results)} result dicts") + + # Convert results to standard format + data_rows = [] + for idx, result_dict in enumerate(results): + logger.debug(f"Processing result_dict {idx}: {list(result_dict.keys())}") + for pattern_name, df_list in result_dict.items(): + logger.debug(f"Pattern '{pattern_name}': {len(df_list)} dataframes") + for df_idx, df in enumerate(df_list): + if isinstance(df, pd.DataFrame): + if not df.empty: + logger.debug(f"DataFrame {df_idx} shape: {df.shape}, columns: {list(df.columns)}") + # Convert DataFrame to list of dicts + df_dict = df.reset_index().to_dict(orient='records') + data_rows.extend(df_dict) + else: + logger.debug(f"DataFrame {df_idx} is empty") + elif isinstance(df, list): + # Handle list format directly + logger.debug(f"List {df_idx} has {len(df)} items") + if df: # If list is not empty + # Check if items are already dicts + if isinstance(df[0], dict): + data_rows.extend(df) + else: + logger.warning(f"List contains non-dict items: {type(df[0])}") + else: + logger.warning(f"Result is not a DataFrame or list: {type(df)}") + + logger.info(f"Converted {len(data_rows)} raw rows from VictoriaLogs") + + # Normalize kubernetes.* field names (e.g., kubernetes.pod_name -> pod_name) + normalized_rows = [] + for row in data_rows: + normalized_row = {} + for key, value in row.items(): + if key.startswith("kubernetes."): + # Remove 'kubernetes.' prefix + new_key = key.replace("kubernetes.", "") + normalized_row[new_key] = value + else: + normalized_row[key] = value + normalized_rows.append(normalized_row) + + logger.debug(f"Normalized {len(normalized_rows)} rows (renamed kubernetes.* fields)") + + # Apply schema filtering and type conversions + filtered_rows = self._apply_schema(normalized_rows, dataset_config) + + logger.info( + f"Fetched {len(data_rows)} rows from VictoriaLogs, " + f"{len(filtered_rows)} rows after schema filtering for dataset '{dataset_config.name}'" + ) + return filtered_rows + + except Exception as e: + logger.error(f"Error fetching from VictoriaLogs: {e}", exc_info=True) + return [] + + def _fetch_from_prometheus( + self, dataset_config: DatasetConfig, datasource: DataSourceConfig, experiment: ExperimentConfig + ) -> List[Dict[str, Any]]: + """Fetch metrics from Prometheus using direct query.""" + logger.info(f"Fetching dataset '{dataset_config.name}' from Prometheus") + + if not dataset_config.query.expr: + raise ValueError( + f"Dataset '{dataset_config.name}' missing required 'expr' for Prometheus query" + ) + + # Parse step to integer (remove 's' suffix if present) + step = dataset_config.query.step or "15s" + step_value = int(step.rstrip('s')) + + # Create PromQL query URL + promql_url = scrape_utils.create_promql( + datasource.url, + dataset_config.query.expr, + dataset_config.timeRange.start, + dataset_config.timeRange.end, + step_value + ) + + logger.debug(f"Prometheus query URL: {promql_url}") + + try: + # Execute query + result = scrape_utils.get_query_data(promql_url) + + match result: + case Ok(data): + logger.info(f"Successfully fetched data from Prometheus for dataset '{dataset_config.name}'") + + # Convert Prometheus response to standard format + data_rows = [] + for series in data["data"]["result"]: + metric_labels = series.get("metric", {}) + values = series.get("values", []) + + for timestamp, value in values: + # Build row with timestamp, value, and all metric labels + row = { + "timestamp": pd.to_datetime(timestamp, unit='s'), + "value": float(value), + } + # Add all metric labels as potential fields + row.update(metric_labels) + data_rows.append(row) + + # Apply schema filtering and type conversions + filtered_rows = self._apply_schema(data_rows, dataset_config) + + logger.info( + f"Fetched {len(data_rows)} rows from Prometheus, " + f"{len(filtered_rows)} rows after schema filtering for dataset '{dataset_config.name}'" + ) + return filtered_rows + + case Err(error): + logger.error(f"Prometheus query error: {error}") + return [] + + except Exception as e: + logger.error(f"Error fetching from Prometheus: {e}") + return [] diff --git a/dst_dashboard/processors/experiment_processor.py b/dst_dashboard/processors/experiment_processor.py new file mode 100644 index 00000000..4c962d91 --- /dev/null +++ b/dst_dashboard/processors/experiment_processor.py @@ -0,0 +1,186 @@ +"""Experiment processor - processes complete experiments with datasets and panels.""" +import logging +import uuid +from typing import Dict, List, Any, Optional + +from dst_dashboard.config.data_structures import ( + ExperimentConfig, + DatasetConfig, + DashboardFullConfig +) +from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.processors.panel_processor import PanelProcessor + +logger = logging.getLogger(__name__) + + +class ExperimentProcessor(PanelProcessor): + """ + Experiment processor - top-level processor. + """ + + def __init__(self, config: DashboardFullConfig, db: DSTDatabase): + """ + Initialize experiment processor. + + Args: + config: Dashboard configuration + db: Database instance + """ + super().__init__(config, db) + + def _ensure_experiment_id(self, experiment: ExperimentConfig) -> str: + """ + Ensure experiment has a valid ID, generate UUID if missing. + + Args: + experiment: Experiment configuration + + Returns: + Experiment ID (existing or newly generated) + """ + if not experiment.id or experiment.id.strip() == "": + # Generate UUID for experiment + generated_id = str(uuid.uuid4()) + logger.info(f"Generated UUID for experiment '{experiment.title}': {generated_id}") + experiment.id = generated_id + + return experiment.id + + def process_dataset( + self, + experiment_id: str, + dataset_config: DatasetConfig + ) -> bool: + """ + Process a single dataset - fetch and store if needed. + + Args: + experiment_id: Experiment ID + dataset_config: Dataset configuration + + Returns: + True if successful, False otherwise + """ + logger.info(f"Processing dataset: {dataset_config.name}") + + # Check if dataset already exists + existing_data = self.db.get_dataset(experiment_id, dataset_config.name) + + # Determine if we need to fetch data + should_fetch = existing_data is None + + if not should_fetch: + logger.info( + f"Dataset '{dataset_config.name}' already exists with {len(existing_data)} rows, skipping fetch" + ) + return True + + # Fetch and store dataset + try: + logger.info(f"Fetching dataset '{dataset_config.name}' from {dataset_config.datasource}") + data = self.fetch_dataset(experiment_id, dataset_config) + + if data: + self.db.store_dataset(experiment_id, dataset_config.name, data) + logger.info(f"Stored {len(data)} rows for dataset '{dataset_config.name}'") + return True + else: + logger.warning(f"No data fetched for dataset '{dataset_config.name}'") + # Store empty dataset to mark it as attempted + self.db.store_dataset(experiment_id, dataset_config.name, []) + return False + + except Exception as e: + logger.error(f"Failed to fetch dataset '{dataset_config.name}': {e}") + # Store empty dataset to mark it as processed but failed + self.db.store_dataset(experiment_id, dataset_config.name, []) + return False + + def process_experiment_datasets( + self, + experiment: ExperimentConfig, + max_workers: int = 1 # Sequential to avoid SQLite threading issues + ) -> int: + """ + Process all datasets for an experiment sequentially. + + Args: + experiment: Experiment configuration + max_workers: Number of workers (always 1 for sequential processing) + + Returns: + Number of successfully processed datasets + """ + if not experiment.datasets: + return 0 + + # Process datasets sequentially to avoid SQLite threading issues + success_count = 0 + for dataset_config in experiment.datasets: + if self.process_dataset(experiment.id, dataset_config): + success_count += 1 + + return success_count + + def process_experiment(self, experiment: ExperimentConfig) -> str: + """ + Process a complete experiment - store experiment, fetch datasets, store panels. + + Args: + experiment: Experiment configuration + + Returns: + Experiment ID + """ + # Ensure experiment has an ID (generate UUID if missing) + experiment_id = self._ensure_experiment_id(experiment) + + logger.info(f"Processing experiment: {experiment_id} - {experiment.title}") + + # 1. Store experiment in database + experiment_dict = experiment.model_dump() + existing_exp = self.db.get_experiment(experiment_id) + + if existing_exp: + logger.info(f"Experiment '{experiment_id}' already exists in database, updating...") + else: + logger.info(f"Storing new experiment '{experiment_id}' in database") + + self.db.store_experiment(experiment_dict) + + # 2. Process datasets (datasets depend on datasources) + dataset_count = self.process_experiment_datasets(experiment) + logger.info(f"Processed {dataset_count}/{len(experiment.datasets)} datasets for experiment '{experiment_id}'") + + # 3. Process panels (panels depend on datasets) + panel_count = self.process_experiment_panels(experiment) + logger.info(f"Processed {panel_count}/{len(experiment.panels)} panels for experiment '{experiment_id}'") + + return experiment_id + + def process_all_experiments(self) -> Dict[str, Any]: + """ + Process all experiments from configuration. + + Returns: + Summary dictionary with processing results + """ + results = { + "total_experiments": len(self.config.experiments), + "processed_experiments": [], + "failed_experiments": [] + } + + for experiment in self.config.experiments: + try: + experiment_id = self.process_experiment(experiment) + results["processed_experiments"].append(experiment_id) + except Exception as e: + logger.error(f"Failed to process experiment '{experiment.title}': {e}", exc_info=True) + results["failed_experiments"].append({ + "title": experiment.title, + "error": str(e) + }) + + return results diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py index a7944bbc..f55dac26 100644 --- a/dst_dashboard/processors/panel_processor.py +++ b/dst_dashboard/processors/panel_processor.py @@ -1,16 +1,662 @@ -"""Panel processor - transforms data using 10ksim classes. - -Skeleton implementation. -""" +"""Panel processor - processes panel configurations and transformations.""" import logging +import re +from typing import Dict, List, Any, Optional +from collections import defaultdict +from copy import deepcopy + +from dst_dashboard.config.data_structures import ( + PanelConfig, + ExperimentConfig, + DashboardFullConfig +) +from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.processors.dataset_processor import DatasetProcessor logger = logging.getLogger(__name__) -class PanelProcessor: +def deep_merge(base: Dict, override: Dict) -> Dict: + """ + Deep merge two dictionaries. Override values take precedence. + + Args: + base: Base dictionary + override: Dictionary with override values + + Returns: + Merged dictionary + """ + result = deepcopy(base) + + for key, value in override.items(): + if key in result and isinstance(result[key], dict) and isinstance(value, dict): + result[key] = deep_merge(result[key], value) + else: + result[key] = deepcopy(value) + + return result + + +class PanelProcessor(DatasetProcessor): + """ + Panel processor - inherits from DatasetProcessor. + + Processes panel configurations, transforms data, and generates ECharts-ready specs. + Hierarchy: ExperimentProcessor -> PanelProcessor -> DatasetProcessor + """ + + def __init__(self, config: DashboardFullConfig, db: DSTDatabase): + """ + Initialize panel processor. + + Args: + config: Dashboard configuration + db: Database instance + """ + super().__init__(config, db) + + def process_panel( + self, + experiment_id: str, + panel_config: PanelConfig + ) -> bool: + """ + Process and store panel ECharts options. + + Args: + experiment_id: Experiment ID + panel_config: Panel configuration + + Returns: + True if successful, False otherwise + """ + logger.info(f"Processing panel: {panel_config.name}") + + # Verify that the dataset for this panel exists + if not self.db.dataset_exists(experiment_id, panel_config.dataset): + logger.warning( + f"Panel '{panel_config.name}' references non-existent dataset '{panel_config.dataset}', skipping" + ) + return False + + try: + # Generate and store ECharts options + echarts_option = self.transform_panel_data(experiment_id, panel_config) + self.db.store_panel_data(experiment_id, panel_config.name, echarts_option) + logger.info(f"Panel '{panel_config.name}' processed and stored successfully") + return True + except Exception as e: + logger.error(f"Failed to process panel '{panel_config.name}': {e}", exc_info=True) + return False + + def process_experiment_panels( + self, + experiment: ExperimentConfig, + max_workers: int = 1 # Sequential to avoid memory issues + ) -> int: + """ + Process all panels for an experiment. + + Args: + experiment: Experiment configuration + max_workers: Number of workers (default: 1 for sequential) + + Returns: + Number of successfully processed panels + """ + if not experiment.panels: + return 0 + + # Process sequentially to avoid memory issues with large datasets + success_count = 0 + for panel_config in experiment.panels: + if self.process_panel(experiment.id, panel_config): + success_count += 1 + + return success_count + + def _apply_derive_transformations(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> List[Dict[str, Any]]: + """ + Apply derive transformations to create new fields. + + Args: + data: Input data rows + panel_config: Panel configuration + + Returns: + Data with derived fields added + """ + if not panel_config.transform or not panel_config.transform.derive: + return data + + result = [] + for row in data: + new_row = row.copy() + + for derive in panel_config.transform.derive: + if derive.function == "regex_match": + # Apply regex pattern to field + field_value = str(row.get(derive.field, "")) + if derive.pattern and re.search(derive.pattern, field_value): + new_row[derive.name] = derive.match or "match" + else: + new_row[derive.name] = derive.no_match or "no_match" + else: + logger.warning(f"Unknown derive function: {derive.function}") + + result.append(new_row) + + return result + + def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> Dict[str, Any]: + """ + Transform data for ECharts boxplot visualization. + + Args: + data: Input data rows + panel_config: Panel configuration with groupBy and value fields + + Returns: + ECharts boxplot option spec + """ + transform = panel_config.transform + group_by = transform.groupBy + value_field = transform.value + + if not group_by or not value_field: + raise ValueError("Boxplot requires 'groupBy' and 'value' in transform") + + # Group data by the groupBy field + grouped_data = defaultdict(list) + for row in data: + group_key = row.get(group_by, "unknown") + value = row.get(value_field) + if value is not None: + grouped_data[group_key].append(float(value)) + + # Apply top filter if specified - sort by average value + if transform.top: + # Calculate average for each group + group_stats = [] + for group_name, values in grouped_data.items(): + avg_val = sum(values) / len(values) if values else 0 + group_stats.append((group_name, avg_val, values)) + + # Sort by average value (descending) and take top N + group_stats.sort(key=lambda x: x[1], reverse=True) + top_groups = group_stats[:transform.top] + + # Rebuild grouped_data with only top groups + grouped_data = {name: values for name, _, values in top_groups} + + # Sort categories and calculate boxplot stats + categories = sorted(grouped_data.keys()) + boxplot_data = [] + + for category in categories: + values = sorted(grouped_data[category]) + if not values: + continue + + n = len(values) + min_val = values[0] + max_val = values[-1] + median = values[n // 2] if n % 2 == 1 else (values[n // 2 - 1] + values[n // 2]) / 2 + q1 = values[n // 4] + q3 = values[3 * n // 4] + + # ECharts boxplot format: [min, Q1, median, Q3, max] + boxplot_data.append([min_val, q1, median, q3, max_val]) + + # Build ECharts option + option = { + "backgroundColor": "transparent", + "title": { + "text": panel_config.title, + "left": "center", + "textStyle": { + "color": "#ffffff" + } + }, + "tooltip": { + "trigger": "item", + "axisPointer": {"type": "shadow"} + }, + "toolbox": { + "feature": { + "dataZoom": { + "yAxisIndex": "none", + "title": {"zoom": "Area Zoom", "back": "Reset"} + }, + "restore": {"title": "Restore"}, + "saveAsImage": {"title": "Save"} + }, + "iconStyle": { + "borderColor": "#999999" + }, + "emphasis": { + "iconStyle": { + "borderColor": "#00d4ff" + } + } + }, + "dataZoom": [ + { + "type": "inside", + "xAxisIndex": 0, + "filterMode": "none", + "disabled": False + } + ], + "grid": { + "left": "10%", + "right": "10%", + "bottom": "15%" + }, + "xAxis": { + "type": "category", + "data": categories, + "boundaryGap": True, + "splitArea": {"show": False}, + "axisLabel": {"color": "#999999"}, + "axisLine": {"lineStyle": {"color": "#333333"}} + }, + "yAxis": { + "type": "value", + "splitArea": {"show": False}, + "axisLabel": {"color": "#999999"}, + "axisLine": {"lineStyle": {"color": "#333333"}}, + "splitLine": {"lineStyle": {"color": "#1a1a1a"}} + }, + "series": [ + { + "name": panel_config.title, + "type": "boxplot", + "data": boxplot_data, + "itemStyle": { + "borderColor": "#00d4ff", + "borderWidth": 1.5 + } + } + ] + } + + # Add optional style configurations + if panel_config.style: + if panel_config.style.xLabel: + option["xAxis"]["name"] = panel_config.style.xLabel + if panel_config.style.yLabel: + option["yAxis"]["name"] = panel_config.style.yLabel + if panel_config.style.yMin is not None: + option["yAxis"]["min"] = panel_config.style.yMin + if panel_config.style.yMax is not None: + option["yAxis"]["max"] = panel_config.style.yMax + + # Merge user-provided ECharts options (if any) + if panel_config.echarts_options: + option = deep_merge(option, panel_config.echarts_options) + + return option + + def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> Dict[str, Any]: + """ + Transform data for ECharts timeseries (line chart) visualization. + + Args: + data: Input data rows + panel_config: Panel configuration with x and y fields + + Returns: + ECharts line chart option spec + """ + transform = panel_config.transform + x_field = transform.x + y_field = transform.y + + if not x_field or not y_field: + raise ValueError("Timeseries requires 'x' and 'y' in transform") + + # Group by a categorical field if groupBy is specified (for multi-series) + if transform.groupBy: + grouped_series = defaultdict(list) + + for row in data: + group_key = row.get(transform.groupBy, "default") + x_val = row.get(x_field) + y_val = row.get(y_field) + + if x_val is not None and y_val is not None: + # Convert datetime to ISO string for JSON serialization + x_val_serialized = x_val.isoformat() if hasattr(x_val, 'isoformat') else str(x_val) + grouped_series[group_key].append({ + "timestamp": x_val_serialized, + "value": float(y_val) + }) + + # Apply top filter if specified (limit number of series) + if transform.top: + # Sort by average value to get most significant series + series_stats = [] + for group_name, points in grouped_series.items(): + avg_val = sum(p["value"] for p in points) / len(points) if points else 0 + series_stats.append((group_name, avg_val, points)) + + # Sort by average value (descending) and take top N + series_stats.sort(key=lambda x: x[1], reverse=True) + top_series = dict((name, points) for name, _, points in series_stats[:transform.top]) + grouped_series = top_series + elif transform.firstN: + # Take first N series by name (no sorting by value) + sorted_names = sorted(grouped_series.keys())[:transform.firstN] + grouped_series = {name: grouped_series[name] for name in sorted_names} + + # Professional color palette - distinct and readable + colors = [ + "#5470c6", "#91cc75", "#fac858", "#ee6666", "#73c0de", + "#3ba272", "#fc8452", "#9a60b4", "#ea7ccc", "#d4a5a5" + ] + + # Build series for each group + series = [] + for idx, (group_name, points) in enumerate(sorted(grouped_series.items())): + # Sort points by timestamp to ensure proper line drawing + sorted_points = sorted(points, key=lambda p: p["timestamp"]) + + # Create [timestamp, value] pairs for ECharts - properly ordered + data_pairs = [[p["timestamp"], p["value"]] for p in sorted_points] + + color = colors[idx % len(colors)] + series.append({ + "name": str(group_name), + "type": "line", + "data": data_pairs, + "smooth": False, + "sampling": "lttb", + "symbol": "none", + "connectNulls": False, # Don't connect gaps + "lineStyle": { + "width": 1.5, + "color": color + }, + "emphasis": { + "focus": "series", + "lineStyle": { + "width": 2.5 + } + } + }) + + x_axis_data = None # Using data pairs, no separate x-axis data needed + + else: + # Single series + x_values = [] + y_values = [] + + for row in data: + x_val = row.get(x_field) + y_val = row.get(y_field) + + if x_val is not None and y_val is not None: + # Convert datetime to ISO string for JSON serialization + x_val_serialized = x_val.isoformat() if hasattr(x_val, 'isoformat') else str(x_val) + x_values.append(x_val_serialized) + y_values.append(float(y_val)) + + x_axis_data = x_values + series = [{ + "name": panel_config.title, + "type": "line", + "data": y_values, + "smooth": True, + "sampling": "lttb", + "symbol": "none", + "lineStyle": { + "width": 2, + "color": "#00d4ff" + }, + "areaStyle": { + "color": "#00d4ff", + "opacity": 0.15 + } + }] + + # Build ECharts option + option = { + "backgroundColor": "transparent", + "title": { + "text": panel_config.title, + "left": "center", + "top": 10, + "textStyle": { + "color": "#ffffff", + "fontSize": 16, + "fontWeight": "normal" + } + }, + "tooltip": { + "trigger": "axis", + "axisPointer": { + "type": "line", + "lineStyle": { + "color": "#555", + "type": "dashed" + } + }, + "backgroundColor": "rgba(0, 0, 0, 0.9)", + "borderColor": "#333", + "borderWidth": 1, + "textStyle": { + "color": "#fff", + "fontSize": 12 + }, + "confine": True + }, + "legend": { + "type": "scroll", + "data": [s["name"] for s in series], + "bottom": 5, + "left": "center", + "textStyle": { + "color": "#999999", + "fontSize": 11 + }, + "pageIconColor": "#5470c6", + "pageIconInactiveColor": "#444", + "pageTextStyle": { + "color": "#999" + }, + "icon": "roundRect" + }, + "toolbox": { + "show": True, + "feature": { + "dataZoom": { + "yAxisIndex": "none", + "title": {"zoom": "Area Zoom", "back": "Reset"} + }, + "restore": {"title": "Restore"}, + "saveAsImage": {"title": "Save"} + }, + "iconStyle": { + "borderColor": "#999999" + }, + "emphasis": { + "iconStyle": { + "borderColor": "#5470c6" + } + }, + "top": 10, + "right": 20 + }, + "dataZoom": [ + { + "type": "inside", + "xAxisIndex": 0, + "filterMode": "none" + } + ], + "grid": { + "left": "3%", + "right": "4%", + "bottom": "50px", + "top": "60px", + "containLabel": True + }, + "xAxis": { + "type": "time", + "boundaryGap": False, + "axisLabel": { + "color": "#999999", + "fontSize": 11, + "formatter": "{HH}:{mm}" + }, + "axisLine": { + "lineStyle": { + "color": "#333333" + } + }, + "axisTick": { + "show": False + }, + "splitLine": { + "show": False + } + }, + "yAxis": { + "type": "value", + "axisLabel": { + "color": "#999999", + "fontSize": 11 + }, + "axisLine": { + "show": False + }, + "axisTick": { + "show": False + }, + "splitLine": { + "lineStyle": { + "color": "#1a1a1a", + "type": "solid" + } + } + }, + "series": series + } + + # Add optional style configurations + if panel_config.style: + if panel_config.style.xLabel: + option["xAxis"]["name"] = panel_config.style.xLabel + option["xAxis"]["nameTextStyle"] = {"color": "#999999", "fontSize": 11} + if panel_config.style.yLabel: + option["yAxis"]["name"] = panel_config.style.yLabel + option["yAxis"]["nameTextStyle"] = {"color": "#999999", "fontSize": 11} + if panel_config.style.yMin is not None: + option["yAxis"]["min"] = panel_config.style.yMin + if panel_config.style.yMax is not None: + option["yAxis"]["max"] = panel_config.style.yMax + + # Add auto-formatting based on unit type + if panel_config.style.yUnit in ["bytes", "bytes/s", "bps"]: + option["yAxis"]["axisLabel"]["formatter"] = "__BYTES_FORMATTER__" + option["tooltip"]["valueFormatter"] = "__BYTES_FORMATTER__" + elif panel_config.style.yUnit == "ms": + option["yAxis"]["axisLabel"]["formatter"] = "__MS_FORMATTER__" + option["tooltip"]["valueFormatter"] = "__MS_FORMATTER__" + elif panel_config.style.yUnit == "seconds": + option["yAxis"]["axisLabel"]["formatter"] = "__SECONDS_FORMATTER__" + option["tooltip"]["valueFormatter"] = "__SECONDS_FORMATTER__" + elif panel_config.style.yUnit == "percent": + option["yAxis"]["axisLabel"]["formatter"] = "__PERCENT_FORMATTER__" + option["tooltip"]["valueFormatter"] = "__PERCENT_FORMATTER__" + elif panel_config.style.yUnit == "number": + option["yAxis"]["axisLabel"]["formatter"] = "__NUMBER_FORMATTER__" + option["tooltip"]["valueFormatter"] = "__NUMBER_FORMATTER__" + + # Merge user-provided ECharts options (if any) + if panel_config.echarts_options: + option = deep_merge(option, panel_config.echarts_options) + + return option + + def transform_panel_data( + self, + experiment_id: str, + panel_config: PanelConfig, + viz_format: str = "echarts" + ) -> Dict[str, Any]: + """ + Transform dataset for panel visualization. + + Args: + experiment_id: Experiment ID + panel_config: Panel configuration + viz_format: Visualization format (echarts, plotly, etc.) + + Returns: + Visualization option specification in the requested format + """ + # Get dataset + dataset = self.db.get_dataset(experiment_id, panel_config.dataset) + if not dataset: + raise ValueError(f"Dataset '{panel_config.dataset}' not found") + + # Apply derive transformations + data = self._apply_derive_transformations(dataset, panel_config) + + # Route to appropriate transformer based on viz_format + if viz_format == "echarts": + return self._transform_to_echarts(data, panel_config) + elif viz_format == "plotly": + # Future: implement Plotly transformer + raise NotImplementedError("Plotly transformation not yet implemented") + else: + raise ValueError(f"Unsupported visualization format: {viz_format}") + + def _transform_to_echarts( + self, + data: List[Dict[str, Any]], + panel_config: PanelConfig + ) -> Dict[str, Any]: + """ + Transform data to ECharts format based on panel type. + + Args: + data: Transformed data rows + panel_config: Panel configuration + + Returns: + ECharts option specification + """ + # Transform based on panel type + if panel_config.type == "boxplot": + return self._transform_to_boxplot(data, panel_config) + elif panel_config.type == "timeseries": + return self._transform_to_timeseries(data, panel_config) + elif panel_config.type == "histogram": + # TODO: Implement histogram transformation + raise NotImplementedError("Histogram transformation not yet implemented") + elif panel_config.type == "bar": + # TODO: Implement bar chart transformation + raise NotImplementedError("Bar chart transformation not yet implemented") + elif panel_config.type == "table": + # For tables, just return the data as-is + return { + "type": "table", + "title": panel_config.title, + "data": data + } + else: + raise ValueError(f"Unknown panel type: {panel_config.type}") def transform(self, df, panel_config): """Transform DataFrame for visualization. + + DEPRECATED: Use transform_panel_data instead """ - logger.warning(f"transform not implemented: {panel_config.name}") + logger.warning(f"transform deprecated, use transform_panel_data: {panel_config.name}") return {} + diff --git a/dst_dashboard/sample_config.yaml b/dst_dashboard/sample_config.yaml index 152370e3..7bcf53c0 100644 --- a/dst_dashboard/sample_config.yaml +++ b/dst_dashboard/sample_config.yaml @@ -16,6 +16,11 @@ experiments: title: "GossipSub Priority Queues: Medium Queue Overflow" family: libp2p/gossipsub publish: true + description: "Analysis of medium priority queue behavior under high load conditions with mixed node speeds" + github_repo: "https://github.com/vacp2p/nim-libp2p" + github_pr: "https://github.com/vacp2p/nim-libp2p/pull/1234" + docker_image: "harbor.status.im/nim-libp2p:v1.2.0" + date: "2026-06-12" metadata: scenario: S1 @@ -24,15 +29,16 @@ experiments: num_normal_nodes: 1 num_slow_nodes: 1 # Stack info for data fetching (from 10ksim metadata.json) - statefulsets: ["nimp2p", "nimp2p-slow"] - nodes: [1, 1] + statefulsets: ["nimp2p"] + nodes: [2] + container_name: "pod-0" datasets: - name: message-delays datasource: victoria-logs timeRange: - start: "2026-06-12T17:40:30Z" - end: "2026-06-12T17:53:02Z" + start: "2026-06-12T22:09:00Z" + end: "2026-06-12T22:13:30Z" query: namespace: libp2p-lab tracer: nimlibp2p @@ -48,16 +54,16 @@ experiments: - name: queue-drops datasource: victoria-metrics timeRange: - start: "2026-06-12T17:40:30Z" - end: "2026-06-12T17:53:02Z" + start: "2026-06-12T22:09:00Z" + end: "2026-06-12T22:13:30Z" query: - expr: rate(libp2p_gossipsub_priority_queue_dropped_total{priority="medium",namespace="libp2p-lab"}[1m]) + expr: increase(libp2p_pubsub_medium_priority_queue_drops_total{namespace="libp2p-lab"}[1m]) step: 15s scrapeInterval: 10s schema: - name: timestamp type: datetime - - name: instance + - name: pod type: string - name: value type: float @@ -94,6 +100,11 @@ experiments: title: "Nimlibp2p Message Delivery Performance" family: libp2p/nimlibp2p publish: true + description: "Performance testing of message delivery latency in nimlibp2p under various network conditions" + github_repo: "https://github.com/vacp2p/nim-libp2p" + github_pr: "https://github.com/vacp2p/nim-libp2p/pull/1235" + docker_image: "harbor.status.im/nim-libp2p:v1.2.1" + date: "2026-06-15" metadata: namespace: nimlibp2p @@ -105,8 +116,8 @@ experiments: - name: message-delays datasource: victoria-logs timeRange: - start: "2026-06-15T10:00:00Z" - end: "2026-06-15T10:15:00Z" + start: "2026-06-13T00:09:00Z" + end: "2026-06-13T00:13:00Z" query: namespace: nimlibp2p tracer: nimlibp2p @@ -130,6 +141,155 @@ experiments: value: delayMs top: 10 + - id: gossipsub-yamux-s0-2026-07-05 + title: "GossipSub 100 Node Regression Test" + family: libp2p/gossipsub + publish: true + description: "GossipSub performance with 100 nodes using yamux muxer" + github_repo: "https://github.com/vacp2p/nim-libp2p" + docker_image: "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4" + date: "2026-07-05" + + metadata: + scenario: S0 + namespace: libp2p-lab + muxer: yamux + num_normal_nodes: 100 + num_slow_nodes: 0 + total_peers: 10 + connect_to: 6 + gossipsub_d: 6 + statefulsets: ["nimp2p"] + nodes: [100] + container_name: "pod-0" + + datasets: + - name: message-delays + datasource: victoria-logs + timeRange: + start: "2026-07-05T17:47:11Z" + end: "2026-07-05T17:55:00Z" + query: + namespace: libp2p-lab + tracer: nimlibp2p + pattern: received + schema: + - name: timestamp + type: datetime + - name: pod_name + type: string + - name: delayMs + type: float + + - name: bandwidth-usage-dl + datasource: victoria-metrics + timeRange: + start: "2026-07-05T17:47:11Z" + end: "2026-07-05T17:55:00Z" + query: + expr: rate(container_network_transmit_bytes_total{namespace="libp2p-lab"}[1m]) + step: 15s + scrapeInterval: 10s + schema: + - name: timestamp + type: datetime + - name: pod + type: string + - name: value + type: float + + - name: bandwidth-usage-ul + datasource: victoria-metrics + timeRange: + start: "2026-07-05T17:47:11Z" + end: "2026-07-05T17:55:00Z" + query: + expr: rate(container_network_receive_bytes_total{namespace="libp2p-lab"}[1m]) + step: 15s + scrapeInterval: 10s + schema: + - name: timestamp + type: datetime + - name: pod + type: string + - name: value + type: float + + panels: + - name: delay-boxplot-top10 + title: Message Delivery Delay (Top 10 Peers) + type: boxplot + dataset: message-delays + publish: true + transform: + groupBy: pod_name + value: delayMs + top: 10 + # Example: Custom ECharts options to override default styling + #echarts_options: + # color: ["#ff6b6b"] # Custom red color for boxplot + # grid: + # left: "5%" + # right: "5%" + + - name: delay-timeseries-top10 + title: Message Delay Over Time (Top 10 Peers) + type: timeseries + dataset: message-delays + publish: true + transform: + x: timestamp + y: delayMs + groupBy: pod_name + top: 10 + style: + yLabel: Delay (ms) + # Example: Custom colors for timeseries + echarts_options: + color: + - "#5470c6" + - "#91cc75" + - "#fac858" + - "#ee6666" + - "#73c0de" + #toolbox: + # show: false # Hide toolbox for cleaner look + + - name: bandwidth-usage-dl-chart + title: Network Bandwidth Usage DL + type: timeseries + dataset: bandwidth-usage-dl + publish: true + transform: + x: timestamp + y: value + groupBy: pod + top: 10 + style: + yLabel: Download + yUnit: bytes/s + + - name: bandwidth-usage-ul-chart + title: Network Bandwidth Usage UL + type: timeseries + dataset: bandwidth-usage-ul + publish: true + transform: + x: timestamp + y: value + groupBy: pod + top: 10 + style: + yLabel: Upload + yUnit: bytes/s + + + + + + + + diff --git a/dst_dashboard/storage/db.py b/dst_dashboard/storage/db.py index 97d38247..f79a104e 100644 --- a/dst_dashboard/storage/db.py +++ b/dst_dashboard/storage/db.py @@ -3,38 +3,76 @@ Uses MontyDB (embedded MongoDB-compatible database) as cache storage. """ -import os from pathlib import Path from typing import Any, Dict, List, Optional +import threading from montydb import MontyClient, set_storage +from dst_dashboard.config.constants import Constants +from dst_dashboard.config.data_structures import DataSourceConfig + + +# Thread-local storage to track if storage has been configured for this thread +_storage_configured = threading.local() + +# Global lock for database initialization (table creation, etc.) +_db_init_lock = threading.Lock() + class DSTDatabase: """Database client for DST Dashboard using MontyDB.""" + @staticmethod + def _configure_storage(db_path: Path): + """ + Configure MontyDB storage for the current thread. + Thread-safe - can be called multiple times. + + Args: + db_path: Path to database directory + """ + # Check if already configured for this thread + if getattr(_storage_configured, 'configured', False): + return + + # Configure MontyDB with SQLite + WAL mode for concurrent access + # WAL mode allows multiple readers + one writer simultaneously + set_storage( + str(db_path), + storage="sqlite", + journal_mode="WAL", # Write-Ahead Logging for concurrent access + check_same_thread=False, # Allow multi-threaded access + use_bson=False # Use MontyDB's built-in BSON implementation + ) + + # Mark as configured for this thread + _storage_configured.configured = True + def __init__(self, db_path: Optional[Path] = None): """Initialize MontyDB client. Args: - db_path: Path to database directory. Defaults to DST_DB_PATH env var or ~/.cache/dst_dashboard + db_path: Path to database directory. Defaults to `DST_DB_PATH` env var or ~/.cache/dst_dashboard """ if db_path is None: - db_path_str = os.getenv("EMBEDDED_DB_PATH", str(Path.home() / ".cache" / "dst_dashboard")) - db_path = Path(db_path_str) + db_path = Path(Constants.DST_DB_PATH).expanduser() db_path.mkdir(parents=True, exist_ok=True) - # Configure MontyDB storage - set_storage(str(db_path), storage="sqlite") + # Configure storage for this thread + self._configure_storage(db_path) - self.client = MontyClient(str(db_path)) - self.db = self.client.dst_dashboard + # Use lock for initial client/database creation to avoid race conditions + with _db_init_lock: + self.client = MontyClient(str(db_path)) + self.db = self.client.dst_dashboard # Collections self.experiments = self.db.experiments self.datasets = self.db.datasets self.panels = self.db.panels + self.datasources = self.db.datasources def store_experiment(self, experiment: Dict[str, Any]) -> str: """Store experiment configuration. @@ -109,6 +147,25 @@ def get_dataset( doc = self.datasets.find_one({"id": dataset_id}, {"_id": 0}) return doc["data"] if doc else None + def list_panels(self, experiment_id: str) -> List[Dict[str, Any]]: + """List stored panel metadata for an experiment. + + Args: + experiment_id: Experiment ID + + Returns: + List of panel metadata dicts + """ + docs = list(self.panels.find({"experiment_id": experiment_id}, {"_id": 0})) + return [ + { + "id": doc["id"], + "experiment_id": doc["experiment_id"], + "name": doc["name"], + } + for doc in docs + ] + def store_panel_data( self, experiment_id: str, panel_name: str, data: Dict[str, Any] ) -> str: @@ -147,3 +204,110 @@ def get_panel_data( panel_id = f"{experiment_id}:{panel_name}" doc = self.panels.find_one({"id": panel_id}, {"_id": 0}) return doc["data"] if doc else None + + def insert_datasource(self, datasource: DataSourceConfig) -> DataSourceConfig: + """Store datasource configuration. + + Args: + datasource: Datasource config + + Returns: + Datasource + """ + data = datasource.model_dump() + self.datasources.update_one( + {"name": data["name"]}, {"$set": data}, upsert=True + ) + return datasource + + def insert_datasource_list(self, datasources: List[DataSourceConfig]) -> List[DataSourceConfig]: + """Store a list of datasource configurations. + + Args: + datasources: List of datasource configs + + Returns: + List of Datasources + """ + for datasource in datasources: + self.insert_datasource(datasource) + return datasources + + def dataset_exists(self, experiment_id: str, dataset_name: str) -> bool: + """Check if dataset exists in database. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + + Returns: + True if dataset exists, False otherwise + """ + dataset_id = f"{experiment_id}:{dataset_name}" + doc = self.datasets.find_one({"id": dataset_id}, {"_id": 0}) + return doc is not None + + def get_dataset_metadata(self, experiment_id: str, dataset_name: str) -> Optional[Dict[str, Any]]: + """Get dataset metadata without data rows. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + + Returns: + Dataset metadata dict or None + """ + dataset_id = f"{experiment_id}:{dataset_name}" + doc = self.datasets.find_one( + {"id": dataset_id}, + {"_id": 0, "id": 1, "experiment_id": 1, "name": 1, "row_count": 1} + ) + return doc + + def delete_experiment(self, experiment_id: str) -> bool: + """Delete an experiment and all its associated data. + + Args: + experiment_id: Experiment ID + + Returns: + True if deleted, False if not found + """ + # Delete experiment + result = self.experiments.delete_one({"id": experiment_id}) + + # Delete all datasets for this experiment + self.datasets.delete_many({"experiment_id": experiment_id}) + + # Delete all panels for this experiment + self.panels.delete_many({"experiment_id": experiment_id}) + + return result.deleted_count > 0 + + def delete_dataset(self, experiment_id: str, dataset_name: str) -> bool: + """Delete a dataset. + + Args: + experiment_id: Experiment ID + dataset_name: Dataset name + + Returns: + True if deleted, False if not found + """ + dataset_id = f"{experiment_id}:{dataset_name}" + result = self.datasets.delete_one({"id": dataset_id}) + return result.deleted_count > 0 + + def delete_panel(self, experiment_id: str, panel_name: str) -> bool: + """Delete a panel. + + Args: + experiment_id: Experiment ID + panel_name: Panel name + + Returns: + True if deleted, False if not found + """ + panel_id = f"{experiment_id}:{panel_name}" + result = self.panels.delete_one({"id": panel_id}) + return result.deleted_count > 0 diff --git a/inspect_db.py b/inspect_db.py new file mode 100644 index 00000000..95a69507 --- /dev/null +++ b/inspect_db.py @@ -0,0 +1,46 @@ +#!/usr/bin/env python3 +"""Quick database inspection script.""" + +import json +from dst_dashboard.storage.db import DSTDatabase + +db = DSTDatabase() + +print("\n" + "="*80) +print("DATABASE CONTENTS") +print("="*80) + +# Datasources +print("\n📊 DATASOURCES:") +for ds in db.datasources.find({}): + print(f" {ds['name']} ({ds['type']})") + +# Experiments +print("\n🔬 EXPERIMENTS:") +for exp in db.experiments.find({}): + print(f"\n ID: {exp['id']}") + print(f" Title: {exp['title']}") + print(f" # Datasets: {len(exp.get('datasets', []))}") + print(f" # Panels: {len(exp.get('panels', []))}") + +# Datasets +print("\n📁 DATASETS:") +for ds in db.datasets.find({}): + print(f"\n {ds.get('experiment_id')}:{ds.get('dataset_name')}") + data = ds.get('data', []) + print(f" Rows: {len(data)}") + if data: + sample = data[0] + print(f" Fields: {list(sample.keys())}") + print(f" Sample: {json.dumps(sample, indent=4, default=str)}") + +# Panels +print("\n📈 PANELS:") +for panel in db.panels.find({}): + panel_data = panel.get('data', {}) + print(f"\n {panel.get('experiment_id')}:{panel.get('name')}") + print(f" Type: {panel_data.get('type')}") + print(f" Dataset: {panel_data.get('dataset')}") + print(f" Publish: {panel_data.get('publish')}") + +print("\n" + "="*80 + "\n") diff --git a/test_dashboard.py b/test_dashboard.py new file mode 100644 index 00000000..b397b94f --- /dev/null +++ b/test_dashboard.py @@ -0,0 +1,135 @@ +#!/usr/bin/env python3 +"""Test script to inspect database and test API endpoints.""" + +import requests +import json +from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.config.utils import LoadConfig + +def print_section(title): + """Print section header.""" + print("\n" + "="*80) + print(f" {title}") + print("="*80) + +def inspect_database(): + """Inspect what's stored in the database.""" + print_section("DATABASE INSPECTION") + + db = DSTDatabase() + + # Check datasources + print("\n📊 DATASOURCES:") + datasources = list(db.datasources.find({})) + print(f" Total: {len(datasources)}") + for ds in datasources: + print(f" - {ds.get('name')} ({ds.get('type')}) - {ds.get('url')}") + + # Check experiments + print("\n🔬 EXPERIMENTS:") + experiments = list(db.experiments.find({})) + print(f" Total: {len(experiments)}") + for exp in experiments: + print(f" - ID: {exp.get('id')}") + print(f" Title: {exp.get('title')}") + print(f" Datasets: {len(exp.get('datasets', []))}") + print(f" Panels: {len(exp.get('panels', []))}") + + # Check datasets + print("\n📁 DATASETS:") + datasets = list(db.datasets.find({})) + print(f" Total: {len(datasets)}") + for ds in datasets: + data = ds.get('data', []) + print(f" - {ds.get('experiment_id')}:{ds.get('dataset_name')}") + print(f" Rows: {len(data)}") + if data: + print(f" Sample row: {json.dumps(data[0], indent=6, default=str)}") + print(f" Fields: {list(data[0].keys())}") + + # Check panels + print("\n📈 PANELS:") + panels = list(db.panels.find({})) + print(f" Total: {len(panels)}") + for panel in panels: + print(f" - {panel.get('experiment_id')}:{panel.get('name')}") + print(f" Type: {panel.get('type')}") + print(f" Dataset: {panel.get('dataset')}") + +def test_api_endpoints(): + """Test API endpoints.""" + print_section("API ENDPOINT TESTS") + + base_url = "http://localhost:8000" + + # Test datasources + print("\n🔌 GET /datasources") + response = requests.get(f"{base_url}/datasources") + print(f" Status: {response.status_code}") + if response.ok: + data = response.json() + print(f" Count: {len(data)}") + for ds in data: + print(f" - {ds['name']} ({ds['type']})") + + # Test experiments + print("\n🔬 GET /experiments") + response = requests.get(f"{base_url}/experiments") + print(f" Status: {response.status_code}") + if response.ok: + experiments = response.json() + print(f" Count: {len(experiments)}") + + # Test each experiment's datasets + for exp in experiments: + exp_id = exp['id'] + print(f"\n 📊 Experiment: {exp_id}") + + # Get datasets for this experiment + for dataset in exp.get('datasets', []): + dataset_name = dataset['name'] + print(f"\n 📁 Dataset: {dataset_name}") + + # Get dataset config + response = requests.get( + f"{base_url}/experiments/{exp_id}/datasets/{dataset_name}" + ) + print(f" Config status: {response.status_code}") + if response.ok: + config = response.json() + print(f" Datasource: {config['datasource']}") + print(f" Schema fields: {[f['name'] for f in config.get('schema', [])]}") + + # Get dataset data + response = requests.get( + f"{base_url}/experiments/{exp_id}/datasets/{dataset_name}/data" + ) + print(f" Data status: {response.status_code}") + if response.ok: + result = response.json() + data = result.get('data', []) + source = result.get('source', 'unknown') + print(f" Rows: {len(data)} (from {source})") + if data: + print(f" Sample row: {json.dumps(data[0], indent=10, default=str)}") + print(f" Fields: {list(data[0].keys())}") + else: + print(f" Error: {response.text}") + +def main(): + """Run all tests.""" + print("\n" + "🚀 DST Dashboard Test Suite ".center(80, "=")) + + try: + inspect_database() + test_api_endpoints() + + print("\n" + "✅ Test Complete ".center(80, "=") + "\n") + + except Exception as e: + print(f"\n❌ Error: {e}") + import traceback + traceback.print_exc() + +if __name__ == "__main__": + main() From 189253460cb746812b0e73a4d88d4a90daecf70e Mon Sep 17 00:00:00 2001 From: Mamoutou Diarra Date: Mon, 6 Jul 2026 15:40:31 +0200 Subject: [PATCH 3/7] restyle the frontend --- dst_dashboard/frontend/Dockerfile | 10 +- dst_dashboard/frontend/package-lock.json | 58 +- dst_dashboard/frontend/package.json | 10 +- dst_dashboard/frontend/postcss.config.js | 6 + dst_dashboard/frontend/public/index.html | 15 +- dst_dashboard/frontend/public/logo-black.svg | 1 + dst_dashboard/frontend/src/App.css | 798 ------------------ dst_dashboard/frontend/src/App.js | 58 +- .../frontend/src/components/ChartPanel.js | 79 ++ .../frontend/src/components/Footer.js | 72 ++ .../frontend/src/components/Navbar.js | 159 ++++ .../frontend/src/components/PageLoader.js | 11 + .../frontend/src/components/Sidebar.js | 87 -- .../frontend/src/context/ThemeContext.js | 34 + dst_dashboard/frontend/src/hooks/useInView.js | 34 + dst_dashboard/frontend/src/index.css | 27 +- .../frontend/src/pages/ComingSoonPage.js | 17 + .../frontend/src/pages/ExperimentPage.js | 250 ++---- .../frontend/src/pages/ExperimentsPage.js | 172 ++++ dst_dashboard/frontend/src/pages/HomePage.js | 227 +---- .../frontend/src/utils/chartOptions.js | 105 +++ dst_dashboard/frontend/tailwind.config.js | 73 ++ dst_dashboard/processors/panel_processor.py | 44 +- inspect_db.py | 46 - test_dashboard.py | 135 --- 25 files changed, 1037 insertions(+), 1491 deletions(-) create mode 100644 dst_dashboard/frontend/postcss.config.js create mode 100644 dst_dashboard/frontend/public/logo-black.svg delete mode 100644 dst_dashboard/frontend/src/App.css create mode 100644 dst_dashboard/frontend/src/components/ChartPanel.js create mode 100644 dst_dashboard/frontend/src/components/Footer.js create mode 100644 dst_dashboard/frontend/src/components/Navbar.js create mode 100644 dst_dashboard/frontend/src/components/PageLoader.js delete mode 100644 dst_dashboard/frontend/src/components/Sidebar.js create mode 100644 dst_dashboard/frontend/src/context/ThemeContext.js create mode 100644 dst_dashboard/frontend/src/hooks/useInView.js create mode 100644 dst_dashboard/frontend/src/pages/ComingSoonPage.js create mode 100644 dst_dashboard/frontend/src/pages/ExperimentsPage.js create mode 100644 dst_dashboard/frontend/src/utils/chartOptions.js create mode 100644 dst_dashboard/frontend/tailwind.config.js delete mode 100644 inspect_db.py delete mode 100644 test_dashboard.py diff --git a/dst_dashboard/frontend/Dockerfile b/dst_dashboard/frontend/Dockerfile index 0952d2de..cd8c7241 100644 --- a/dst_dashboard/frontend/Dockerfile +++ b/dst_dashboard/frontend/Dockerfile @@ -17,12 +17,16 @@ WORKDIR /app # Copy package files COPY package*.json ./ -# Install dependencies (use npm install instead of ci for flexibility) -RUN npm install --production +# Install dependencies (use npm install instead of ci for flexibility). +# Not --production: Tailwind/PostCSS/daisyui are devDependencies but run at +# build time below; this build stage's node_modules never reaches the final +# nginx image anyway, so there's no size cost to including them. +RUN npm install -# Copy source code +# Copy source code and PostCSS/Tailwind config (required for the build step below) COPY public/ ./public/ COPY src/ ./src/ +COPY postcss.config.js tailwind.config.js ./ # Build-time argument for API URL (baked into the build) ARG REACT_APP_API_URL=http://localhost:8000 diff --git a/dst_dashboard/frontend/package-lock.json b/dst_dashboard/frontend/package-lock.json index 9e8e94a6..be9d7b2a 100644 --- a/dst_dashboard/frontend/package-lock.json +++ b/dst_dashboard/frontend/package-lock.json @@ -18,6 +18,12 @@ "react-dom": "^18.2.0", "react-router-dom": "^6.20.0", "react-scripts": "5.0.1" + }, + "devDependencies": { + "autoprefixer": "^10.5.2", + "daisyui": "^4.12.24", + "postcss": "^8.5.16", + "tailwindcss": "^3.4.19" } }, "node_modules/@adobe/css-tools": { @@ -6529,6 +6535,16 @@ "resolved": "https://registry.npmjs.org/css-select-base-adapter/-/css-select-base-adapter-0.1.1.tgz", "integrity": "sha512-jQVeeRG70QI08vSTwf1jHxp74JoZsr2XSgETae8/xC8ovSnL2WF87GTLO86Sbwdt2lK4Umg4HnnwMO4YF3Ce7w==" }, + "node_modules/css-selector-tokenizer": { + "version": "0.8.0", + "resolved": "https://registry.npmjs.org/css-selector-tokenizer/-/css-selector-tokenizer-0.8.0.tgz", + "integrity": "sha512-Jd6Ig3/pe62/qe5SBPTN8h8LeUg/pT4lLgtavPf7updwwHpvFzxvOQBHYj2LZDMjUnBzgvIUSjRcf6oT5HzHFg==", + "dev": true, + "dependencies": { + "cssesc": "^3.0.0", + "fastparse": "^1.1.2" + } + }, "node_modules/css-tree": { "version": "1.0.0-alpha.37", "resolved": "https://registry.npmjs.org/css-tree/-/css-tree-1.0.0-alpha.37.tgz", @@ -6727,6 +6743,34 @@ "integrity": "sha512-z1HGKcYy2xA8AGQfwrn0PAy+PB7X/GSj3UVJW9qKyn43xWa+gl5nXmU4qqLMRzWVLFC8KusUX8T/0kCiOYpAIQ==", "peer": true }, + "node_modules/culori": { + "version": "3.3.0", + "resolved": "https://registry.npmjs.org/culori/-/culori-3.3.0.tgz", + "integrity": "sha512-pHJg+jbuFsCjz9iclQBqyL3B2HLCBF71BwVNujUYEvCeQMvV97R59MNK3R2+jgJ3a1fcZgI9B3vYgz8lzr/BFQ==", + "dev": true, + "engines": { + "node": "^12.20.0 || ^14.13.1 || >=16.0.0" + } + }, + "node_modules/daisyui": { + "version": "4.12.24", + "resolved": "https://registry.npmjs.org/daisyui/-/daisyui-4.12.24.tgz", + "integrity": "sha512-JYg9fhQHOfXyLadrBrEqCDM6D5dWCSSiM6eTNCRrBRzx/VlOCrLS8eDfIw9RVvs64v2mJdLooKXY8EwQzoszAA==", + "dev": true, + "dependencies": { + "css-selector-tokenizer": "^0.8", + "culori": "^3", + "picocolors": "^1", + "postcss-js": "^4" + }, + "engines": { + "node": ">=16.9.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/daisyui" + } + }, "node_modules/damerau-levenshtein": { "version": "1.0.8", "resolved": "https://registry.npmjs.org/damerau-levenshtein/-/damerau-levenshtein-1.0.8.tgz", @@ -8346,6 +8390,12 @@ } ] }, + "node_modules/fastparse": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/fastparse/-/fastparse-1.1.2.tgz", + "integrity": "sha512-483XLLxTVIwWK3QTrMGRqUfUpoOs/0hbQrl2oz4J0pAcm3A3bu84wxTFqGqkJzewCLdME38xJLJAxBABfQT8sQ==", + "dev": true + }, "node_modules/fastq": { "version": "1.20.1", "resolved": "https://registry.npmjs.org/fastq/-/fastq-1.20.1.tgz", @@ -17787,16 +17837,16 @@ } }, "node_modules/typescript": { - "version": "6.0.3", - "resolved": "https://registry.npmjs.org/typescript/-/typescript-6.0.3.tgz", - "integrity": "sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw==", + "version": "4.9.5", + "resolved": "https://registry.npmjs.org/typescript/-/typescript-4.9.5.tgz", + "integrity": "sha512-1FXk9E2Hm+QzZQ7z+McJiHL4NW1F2EzMu9Nq9i3zAaGqibafqYwCVU6WyWAuyQRRzOlxou8xZSyXLEN8oKj24g==", "peer": true, "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" }, "engines": { - "node": ">=14.17" + "node": ">=4.2.0" } }, "node_modules/unbox-primitive": { diff --git a/dst_dashboard/frontend/package.json b/dst_dashboard/frontend/package.json index 5bac1c6f..7e859512 100644 --- a/dst_dashboard/frontend/package.json +++ b/dst_dashboard/frontend/package.json @@ -38,5 +38,11 @@ "last 1 safari version" ] }, - "proxy": "http://localhost:8000" -} \ No newline at end of file + "proxy": "http://localhost:8000", + "devDependencies": { + "autoprefixer": "^10.5.2", + "daisyui": "^4.12.24", + "postcss": "^8.5.16", + "tailwindcss": "^3.4.19" + } +} diff --git a/dst_dashboard/frontend/postcss.config.js b/dst_dashboard/frontend/postcss.config.js new file mode 100644 index 00000000..67cdf1a5 --- /dev/null +++ b/dst_dashboard/frontend/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/dst_dashboard/frontend/public/index.html b/dst_dashboard/frontend/public/index.html index 4c497b27..0a9c6470 100644 --- a/dst_dashboard/frontend/public/index.html +++ b/dst_dashboard/frontend/public/index.html @@ -4,12 +4,21 @@ - - + + + + + + + DST Dashboard - +
diff --git a/dst_dashboard/frontend/public/logo-black.svg b/dst_dashboard/frontend/public/logo-black.svg new file mode 100644 index 00000000..bfa6bd7c --- /dev/null +++ b/dst_dashboard/frontend/public/logo-black.svg @@ -0,0 +1 @@ + diff --git a/dst_dashboard/frontend/src/App.css b/dst_dashboard/frontend/src/App.css deleted file mode 100644 index 2c162811..00000000 --- a/dst_dashboard/frontend/src/App.css +++ /dev/null @@ -1,798 +0,0 @@ -* { - box-sizing: border-box; -} - -body { - margin: 0; - font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif; - -webkit-font-smoothing: antialiased; - -moz-osx-font-smoothing: grayscale; - background-color: #000000; - color: #e5e5e5; -} - -.App { - min-height: 100vh; - display: flex; -} - - -/* Sidebar - ProbeB Style */ - -.sidebar { - width: 260px; - background-color: #0a0a0a; - border-right: 1px solid #1a1a1a; - position: fixed; - height: 100vh; - overflow-y: auto; - z-index: 999; - transition: width 0.3s ease; - display: flex; - flex-direction: column; -} - -.sidebar.collapsed { - width: 70px; -} - -.sidebar-toggle { - position: absolute; - right: -15px; - top: 24px; - width: 30px; - height: 30px; - background-color: #0f0f0f; - border: 1px solid #333333; - border-radius: 50%; - color: #999999; - cursor: pointer; - display: flex; - align-items: center; - justify-content: center; - font-size: 12px; - z-index: 1001; - transition: all 0.2s; - box-shadow: 0 2px 8px rgba(0, 0, 0, 0.5); -} - -.sidebar-toggle:hover { - background-color: #1a1a1a; - color: #ffffff; - border-color: #666666; -} - -.sidebar-header { - padding: 2rem 1.5rem; - border-bottom: 1px solid #1a1a1a; -} - -.sidebar-brand { - color: #ffffff; - text-decoration: none; - display: flex; - align-items: center; - gap: 0.75rem; - font-size: 1.125rem; - font-weight: 700; - transition: opacity 0.2s; -} - -.sidebar-brand:hover { - opacity: 0.8; -} - -.brand-logo { - font-size: 1.5rem; - flex-shrink: 0; -} - -.brand-logo-img { - height: 32px; - width: auto; - flex-shrink: 0; -} - -.sidebar.collapsed .brand-text { - display: none; -} - -.sidebar-nav { - padding: 1rem 0; - flex: 1; -} - -.nav-section { - margin-bottom: 1rem; -} - -.nav-section-title { - padding: 0.75rem 1.5rem 0.5rem; - font-size: 0.75rem; - color: #666666; - text-transform: uppercase; - letter-spacing: 0.1em; - font-weight: 600; -} - -.sidebar.collapsed .nav-section-title { - display: none; -} - -.nav-divider { - height: 1px; - background-color: #1a1a1a; - margin: 1rem 1.5rem; -} - -.sidebar.collapsed .nav-divider { - margin: 1rem 1rem; -} - -.nav-item { - padding: 0.875rem 1.5rem; - color: #999999; - text-decoration: none; - display: flex; - align-items: center; - gap: 0.75rem; - font-size: 0.9375rem; - font-weight: 500; - transition: all 0.2s; - cursor: pointer; - border-left: 3px solid transparent; -} - -.nav-item:hover { - background-color: #0f0f0f; - color: #ffffff; - border-left-color: #333333; -} - -.nav-item.active { - background-color: #0f0f0f; - color: #ffffff; - border-left-color: #ffffff; -} - -.nav-icon { - font-size: 1rem; - flex-shrink: 0; - width: 20px; - display: flex; - align-items: center; - justify-content: center; -} - -.nav-icon svg { - display: block; -} - -.sidebar.collapsed .nav-item { - padding: 0.875rem 1rem; - justify-content: center; -} - -.sidebar.collapsed .nav-text { - display: none; -} - -.main-content { - flex: 1; - margin-left: 260px; - transition: margin-left 0.3s ease; - width: calc(100% - 260px); - min-height: 100vh; - display: flex; - flex-direction: column; -} - -.main-content.sidebar-collapsed { - margin-left: 70px; - width: calc(100% - 70px); -} - - -/* Page Header */ - -.page-header { - background-color: #0a0a0a; - padding: 3rem 3rem 2.5rem; - border-bottom: 1px solid #1a1a1a; -} - -.header-content { - width: 100%; -} - -.page-title { - font-size: 2.5rem; - font-weight: 700; - margin: 0 0 0.75rem 0; - color: #ffffff; - letter-spacing: -0.02em; -} - -.page-subtitle { - font-size: 1.125rem; - color: #999999; - margin: 0; - font-weight: 400; -} - - -/* Container */ - -.container { - padding: 0; - width: 100%; - flex: 1; - display: flex; - flex-direction: column; -} - -.overview-section { - padding: 3rem 0; - margin-bottom: 0; - background-color: #000000; - display: flex; - flex-direction: column; - align-items: center; - min-height: 240px; - flex-shrink: 0; -} - -.overview-section>.hero-stats { - max-width: 1400px; - width: 100%; - padding: 0 3rem; - box-sizing: border-box; - margin-bottom: 3rem; -} - -.overview-section>.timeline-section { - max-width: 1400px; - width: 100%; - padding: 0 3rem; - box-sizing: border-box; -} - -.categories-section { - padding: 3rem 0; - margin-bottom: 0; - background-color: #0a0a0a; - min-height: 180px; - flex-shrink: 0; -} - -.categories-section>* { - max-width: 1400px; - margin-left: auto; - margin-right: auto; - padding-left: 3rem; - padding-right: 3rem; -} - -.experiments-section { - padding: 3rem 0; - margin-bottom: 0; - background-color: #000000; - min-height: 400px; -} - -.experiments-section>* { - max-width: 1400px; - margin-left: auto; - margin-right: auto; - padding-left: 3rem; - padding-right: 3rem; -} - -.section-title { - font-size: 1.5rem; - font-weight: 700; - margin: 0 0 1.5rem 0; - color: #ffffff; - text-transform: uppercase; - letter-spacing: 0.05em; -} - - -/* Overview Section */ - -.hero-stats { - display: grid; - grid-template-columns: repeat(2, 1fr); - gap: 2rem; - margin-bottom: 3rem; - width: 100%; -} - -.hero-stat-card { - background-color: #0f0f0f; - border: 1px solid #1a1a1a; - border-radius: 8px; - padding: 2.5rem 2rem; - text-align: center; - transition: all 0.2s; -} - -.hero-stat-card:hover { - border-color: #333333; - transform: translateY(-2px); -} - -.hero-stat-value { - font-size: 3.5rem; - font-weight: 700; - color: #ffffff; - margin: 0 0 0.75rem 0; - line-height: 1; -} - -.hero-stat-label { - font-size: 0.875rem; - color: #999999; - margin: 0 0 0.5rem 0; - text-transform: uppercase; - letter-spacing: 0.1em; - font-weight: 600; -} - -.hero-stat-date { - font-size: 0.75rem; - color: #666666; - margin: 0; -} - - -/* Timeline Section */ - -.timeline-section { - background-color: #0f0f0f; - border: 1px solid #1a1a1a; - border-radius: 8px; - padding: 2rem; - width: 100%; - box-sizing: border-box; -} - -.timeline-stat-card { - background-color: #0f0f0f; - border: 1px solid #1a1a1a; - border-radius: 8px; - padding: 1.5rem 2rem; - flex: 1; - min-width: 0; -} - -.timeline-title { - font-size: 1.125rem; - font-weight: 600; - color: #ffffff; - margin: 0 0 1.5rem 0; - text-transform: uppercase; - letter-spacing: 0.05em; -} - -.chart-container { - width: 100%; -} - - -/* Categories Section */ - -.category-boxes { - display: flex; - flex-wrap: wrap; - gap: 1rem; -} - -.category-box { - background-color: #0f0f0f; - border: 1px solid #1a1a1a; - border-radius: 8px; - padding: 1.5rem 2rem; - cursor: pointer; - transition: all 0.2s; - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - min-width: 180px; - text-align: center; -} - -.category-box:hover { - border-color: #333333; - transform: translateY(-2px); -} - -.category-box.active { - border-color: #ffffff; - background-color: #1a1a1a; -} - -.category-box-name { - font-size: 0.9375rem; - font-weight: 600; - color: #ffffff; - margin-bottom: 0.5rem; - display: block; -} - -.category-box-count { - font-size: 1.5rem; - font-weight: 700; - color: #999999; - display: block; -} - -.category-box.active .category-box-count { - color: #ffffff; -} - - -/* Experiments Section */ - -.experiments-grid { - display: grid; - grid-template-columns: repeat(auto-fit, minmax(min(280px, 100%), 1fr)); - gap: 1.5rem; -} - -.experiment-card { - background-color: #0f0f0f; - border: 1px solid #1a1a1a; - border-radius: 8px; - padding: 1.5rem; - cursor: pointer; - transition: all 0.2s; - text-decoration: none; - color: inherit; - display: block; -} - -.experiment-card:hover { - border-color: #333333; - transform: translateY(-2px); -} - -.experiment-header-card { - display: flex; - justify-content: space-between; - align-items: flex-start; - margin-bottom: 1rem; - gap: 1rem; -} - -.experiment-title { - font-size: 1.0625rem; - font-weight: 600; - margin: 0; - color: #ffffff; - flex: 1; - line-height: 1.4; -} - -.experiment-date { - font-size: 0.75rem; - color: #666666; - font-weight: 500; - white-space: nowrap; -} - -.experiment-description { - font-size: 0.875rem; - color: #999999; - margin: 0 0 1rem 0; - line-height: 1.6; - display: -webkit-box; - -webkit-line-clamp: 2; - line-clamp: 2; - -webkit-box-orient: vertical; - overflow: hidden; -} - -.experiment-meta { - display: flex; - flex-wrap: wrap; - gap: 0.5rem; - padding-top: 1rem; - border-top: 1px solid #1a1a1a; -} - -.meta-link { - display: inline-flex; - align-items: center; - gap: 0.375rem; - background-color: #1a1a1a; - color: #cccccc; - padding: 0.375rem 0.75rem; - border-radius: 4px; - font-size: 0.75rem; - font-weight: 500; - text-decoration: none; - transition: all 0.2s; -} - -.meta-link:hover { - background-color: #2a2a2a; - color: #ffffff; -} - -.meta-badge { - display: inline-flex; - align-items: center; - gap: 0.375rem; - background-color: #0a0a0a; - color: #666666; - padding: 0.375rem 0.75rem; - border-radius: 4px; - font-size: 0.75rem; - font-weight: 500; -} - - -/* Footer - ProbeB Style */ - -.footer { - background-color: #0a0a0a; - border-top: 1px solid #1a1a1a; - padding: 2.5rem 0; - margin-top: auto; - width: 100%; -} - -.footer-content { - display: flex; - justify-content: space-between; - align-items: center; - flex-wrap: wrap; - gap: 1.5rem; - padding: 0 3rem; - max-width: 100%; -} - -.footer-content p { - margin: 0; - color: #999999; - font-size: 0.875rem; -} - -.footer-links { - display: flex; - align-items: center; - gap: 1rem; - font-size: 0.875rem; -} - -.footer-links a { - color: #999999; - text-decoration: none; - transition: color 0.2s; -} - -.footer-links a:hover { - color: #ffffff; -} - -.footer-links span { - color: #666666; -} - - -/* Experiment Detail Page */ - -.experiment-header { - background-color: #0a0a0a; - padding: 3rem 3rem 2.5rem; - margin-bottom: 0; - border-bottom: 1px solid #1a1a1a; -} - -.experiment-category-label { - color: #666666; - font-size: 0.875rem; - font-weight: 600; - text-transform: uppercase; - letter-spacing: 0.1em; - margin-bottom: 0.75rem; -} - -.experiment-title-main { - font-size: 2rem; - font-weight: 700; - margin: 0 0 1rem 0; - color: #ffffff; -} - -.experiment-description-main { - font-size: 1.125rem; - color: #999999; - margin: 0 0 1.5rem 0; - line-height: 1.6; -} - -.experiment-links { - display: flex; - gap: 1rem; - flex-wrap: wrap; - margin-top: 1.5rem; -} - -.exp-link { - display: inline-flex; - align-items: center; - gap: 0.5rem; - background-color: #1a1a1a; - color: #ffffff; - padding: 0.75rem 1.25rem; - border-radius: 6px; - font-size: 0.875rem; - font-weight: 600; - text-decoration: none; - transition: all 0.2s; - border: 1px solid #2a2a2a; -} - -.exp-link:hover { - background-color: #2a2a2a; - border-color: #3a3a3a; -} - - -/* Panels */ - -.panels-section { - flex: 1; - display: flex; - align-items: center; - justify-content: center; - padding: 2rem 0; - overflow: hidden; -} - -.panels-grid { - display: grid; - grid-template-columns: 1fr; - gap: 1.5rem; - max-width: 1100px; - width: 100%; - margin: 0 auto; - padding: 0 3rem; -} - -.panel-card { - background-color: #0f0f0f; - border: 1px solid #1a1a1a; - border-radius: 12px; - padding: 1.25rem; - transition: all 0.3s ease; - height: fit-content; - box-shadow: 0 2px 8px rgba(0, 0, 0, 0.3); -} - -.panel-card:hover { - border-color: #444444; - transform: translateY(-4px); - box-shadow: 0 8px 24px rgba(0, 0, 0, 0.5); -} - -.panel-title { - font-size: 0.8125rem; - font-weight: 600; - margin: 0 0 0.875rem 0; - color: #ffffff; - text-transform: uppercase; - letter-spacing: 0.08em; - padding-bottom: 0.75rem; - border-bottom: 1px solid #1a1a1a; -} - -.panel-error { - background-color: #1a0000; - border: 1px solid #660000; - border-radius: 4px; - padding: 2rem; - color: #ff6666; - text-align: center; -} - - -/* Back Button */ - -.back-button { - display: inline-flex; - align-items: center; - gap: 0.5rem; - background-color: #1a1a1a; - color: #ffffff; - padding: 0.75rem 1.5rem; - border-radius: 6px; - border: 1px solid #2a2a2a; - cursor: pointer; - transition: all 0.2s; - font-size: 0.875rem; - font-weight: 600; - margin-bottom: 2rem; - text-decoration: none; -} - -.back-button:hover { - background-color: #2a2a2a; - border-color: #3a3a3a; -} - - -/* Utility */ - -.loading { - text-align: center; - padding: 4rem 2rem; - color: #666666; - font-size: 1.125rem; -} - -.error { - background-color: #2a0a0a; - border: 1px solid #4a1a1a; - color: #ff6b6b; - padding: 1rem 1.5rem; - border-radius: 8px; - margin: 2rem 0; -} - - -/* Responsive */ - -@media (max-width: 1200px) { - .hero-stats-timeline { - grid-template-columns: 1fr; - gap: 1rem; - } - .hero-stats { - grid-template-columns: 1fr; - gap: 1rem; - } - .category-boxes { - flex-direction: column; - } - .category-box { - width: 100%; - } - .experiments-grid { - grid-template-columns: 1fr; - } - .panels-grid { - grid-template-columns: 1fr; - } -} - -@media (max-width: 768px) { - .sidebar { - width: 70px; - } - .sidebar .brand-text, - .sidebar .nav-text, - .sidebar .nav-section-title { - display: none; - } - .main-content { - margin-left: 70px; - width: calc(100% - 70px); - } - .container { - padding: 2rem 1.5rem; - } - .page-header { - padding: 2rem 1.5rem; - } - .footer { - padding: 2rem 1.5rem; - } - .footer-content { - flex-direction: column; - align-items: flex-start; - } -} \ No newline at end of file diff --git a/dst_dashboard/frontend/src/App.js b/dst_dashboard/frontend/src/App.js index d426cb83..65062ddd 100644 --- a/dst_dashboard/frontend/src/App.js +++ b/dst_dashboard/frontend/src/App.js @@ -1,27 +1,43 @@ -import React from 'react'; +import React, { Suspense, lazy } from 'react'; import { BrowserRouter as Router, Routes, Route } from 'react-router-dom'; -import './App.css'; -import HomePage from './pages/HomePage'; -import ExperimentPage from './pages/ExperimentPage'; +import { ThemeProvider } from './context/ThemeContext'; +import Navbar from './components/Navbar'; +import Footer from './components/Footer'; +import PageLoader from './components/PageLoader'; + +const HomePage = lazy(() => import('./pages/HomePage')); +const ExperimentsPage = lazy(() => import('./pages/ExperimentsPage')); +const ExperimentPage = lazy(() => import('./pages/ExperimentPage')); +const ComingSoonPage = lazy(() => import('./pages/ComingSoonPage')); function App() { - return ( < - Router > - < - div className = "App" > - < - Routes > - < - Route path = "/" - element = { < HomePage / > } - /> < - Route path = "/experiment/:experimentId" - element = { < ExperimentPage / > } - /> < - /Routes> < - /div> < - /Router> + return ( + + +
+ +
+ }> + + } /> + } /> + } /> + } + /> + } + /> + + +
+
+
+ + ); } -export default App; \ No newline at end of file +export default App; diff --git a/dst_dashboard/frontend/src/components/ChartPanel.js b/dst_dashboard/frontend/src/components/ChartPanel.js new file mode 100644 index 00000000..11cf3d33 --- /dev/null +++ b/dst_dashboard/frontend/src/components/ChartPanel.js @@ -0,0 +1,79 @@ +import React, { Suspense, lazy, useEffect, useMemo, useState } from 'react'; +import axios from 'axios'; +import { API_BASE_URL } from '../config'; +import { useInView } from '../hooks/useInView'; +import { buildChartOption } from '../utils/chartOptions'; + +const ReactECharts = lazy(() => import('echarts-for-react')); + +const CHART_HEIGHT = 350; + +function ChartSkeleton() { + return ( +
+
+
+ ); +} + +// Each panel only knows its own name/title upfront (from the experiment's panel +// list). The actual chart data + option is fetched independently, in parallel +// with any other panel, the moment this card scrolls near the viewport. +function ChartPanel({ experimentId, panelMeta, isDark }) { + const [ref, inView] = useInView(); + const [panelData, setPanelData] = useState(null); + const [error, setError] = useState(null); + + useEffect(() => { + if (!inView) return; + let cancelled = false; + + axios + .get(`${API_BASE_URL}/experiments/${experimentId}/panels/${panelMeta.name}`) + .then((res) => { + if (!cancelled) setPanelData(res.data); + }) + .catch((err) => { + if (!cancelled) setError(err.response?.data?.detail || err.message); + }); + + return () => { + cancelled = true; + }; + }, [inView, experimentId, panelMeta.name]); + + const option = useMemo( + () => (panelData?.option ? buildChartOption(panelData.option, isDark) : null), + [panelData, isDark] + ); + + return ( +
+
+

{panelMeta.title}

+
+
+ {error ? ( +
Error: {error}
+ ) : option ? ( + }> + + + ) : ( + + )} +
+
+ ); +} + +export default ChartPanel; diff --git a/dst_dashboard/frontend/src/components/Footer.js b/dst_dashboard/frontend/src/components/Footer.js new file mode 100644 index 00000000..eb3f3119 --- /dev/null +++ b/dst_dashboard/frontend/src/components/Footer.js @@ -0,0 +1,72 @@ +import React from 'react'; +import { Link } from 'react-router-dom'; +import { API_BASE_URL } from '../config'; + +const FOOTER_COLUMNS = [ + { + title: 'Product', + links: [ + { label: 'Experiments', to: '/experiments' }, + { label: 'Topology', to: '/vaclab/topology' }, + { label: 'Networks', to: '/vaclab/networks' }, + ], + }, + { + title: 'Tools', + links: [ + { label: '10ksim', href: 'https://github.com/vacp2p/10ksim' }, + { label: 'VacLab', href: 'https://github.com/vacp2p' }, + ], + }, + { + title: 'Docs', + links: [ + { label: 'API Reference', href: `${API_BASE_URL}/api/docs` }, + { label: 'README', href: 'https://github.com/vacp2p/10ksim/blob/master/dst_dashboard/README.md' }, + ], + }, + { + title: 'Social', + links: [ + { label: 'GitHub', href: 'https://github.com/vacp2p' }, + { label: 'X / Twitter', href: 'https://twitter.com/vacp2p' }, + { label: 'vac.dev', href: 'https://vac.dev' }, + ], + }, +]; + +function Footer() { + return ( +
+
+ {FOOTER_COLUMNS.map((column) => ( + + ))} +
+
+ © {new Date().getFullYear()} VacLab. DST Dashboard — Distributed Systems Testing Analytics. +
+
+ ); +} + +export default Footer; diff --git a/dst_dashboard/frontend/src/components/Navbar.js b/dst_dashboard/frontend/src/components/Navbar.js new file mode 100644 index 00000000..9f96ffc2 --- /dev/null +++ b/dst_dashboard/frontend/src/components/Navbar.js @@ -0,0 +1,159 @@ +import React, { useState } from 'react'; +import { Link, useLocation } from 'react-router-dom'; +import { useTheme } from '../context/ThemeContext'; + +const NAV_LINKS = [ + { to: '/', label: 'Home' }, + { to: '/experiments', label: 'Experiments' }, +]; + +const VACLAB_LINKS = [ + { to: '/vaclab/topology', label: 'Network', icon: 'bi-diagram-3' }, + { to: '/vaclab/networks', label: 'Resources', icon: 'bi-hdd-network' }, +]; + +const ICON_LINKS = [ + { href: 'https://github.com/vacp2p/10ksim', label: '10ksim on GitHub', icon: 'bi-github' }, +]; + +function Navbar() { + const location = useLocation(); + const [mobileOpen, setMobileOpen] = useState(false); + const { isDark, toggleTheme } = useTheme(); + + const isActive = (to) => location.pathname === to; + const isVaclabActive = VACLAB_LINKS.some((link) => location.pathname === link.to); + + return ( +
+ + + {mobileOpen && ( +
+
    + {NAV_LINKS.map((link) => ( +
  • + setMobileOpen(false)} className={isActive(link.to) ? 'text-primary' : ''}> + {link.label} + +
    • + ))} +
  • VacLab
    • + {VACLAB_LINKS.map((link) => ( +
  • + setMobileOpen(false)} className={isActive(link.to) ? 'text-primary' : ''}> + + {link.label} + +
    • + ))} +
  • Resources
    • + {ICON_LINKS.map((link) => ( +
  • + setMobileOpen(false)}> + + {link.label} + +
    • + ))} +
+
+ )} +
+ ); +} + +export default Navbar; diff --git a/dst_dashboard/frontend/src/components/PageLoader.js b/dst_dashboard/frontend/src/components/PageLoader.js new file mode 100644 index 00000000..b0333dcb --- /dev/null +++ b/dst_dashboard/frontend/src/components/PageLoader.js @@ -0,0 +1,11 @@ +import React from 'react'; + +function PageLoader() { + return ( +
+ +
+ ); +} + +export default PageLoader; diff --git a/dst_dashboard/frontend/src/components/Sidebar.js b/dst_dashboard/frontend/src/components/Sidebar.js deleted file mode 100644 index c3099b0e..00000000 --- a/dst_dashboard/frontend/src/components/Sidebar.js +++ /dev/null @@ -1,87 +0,0 @@ -import React from 'react'; -import { Link, useLocation } from 'react-router-dom'; - -function Sidebar({ isCollapsed, onToggle }) { - const location = useLocation(); - - return ( < - div className = { `sidebar ${isCollapsed ? 'collapsed' : ''}` } > - < - button className = "sidebar-toggle" - onClick = { onToggle } - title = { isCollapsed ? 'Expand' : 'Collapse' } > { isCollapsed ? '▶' : '◀' } < - /button> - - < - div className = "sidebar-header" > - < - Link to = "/" - className = "sidebar-brand" > - < - img src = "https://raw.githubusercontent.com/vacp2p/vaclab-2/feat/add_lab_components/extras/vac-logo-light-no-bg.png" - alt = "VacLab Logo" - className = "brand-logo-img" / - > {!isCollapsed && < span className = "brand-text" > DST Dashboard < /span>} < - /Link> < - /div> - - < - nav className = "sidebar-nav" > - < - div className = "nav-section" > - < - Link - to = "/" - className = { `nav-item ${location.pathname === '/' ? 'active' : ''}` } - title = "Home" > - < - span className = "nav-icon" > 🏠 < /span> { - !isCollapsed && < span className = "nav-text" > Home < /span>} < - /Link> < - /div> - - < - div className = "nav-divider" > < /div> - - < - div className = "nav-section" > - < - div className = "nav-section-title" > {!isCollapsed && < span > Resources < /span>} < - /div> < - a - href = "https://github.com/vacp2p" - target = "_blank" - rel = "noopener noreferrer" - className = "nav-item" - title = "VacLab GitHub" > - < - span className = "nav-icon" > - < - svg width = "16" - height = "16" - viewBox = "0 0 16 16" - fill = "currentColor" > - < - path d = "M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z" / > - < - /svg> < - /span> { - !isCollapsed && < span className = "nav-text" > VacLab < /span>} < - /a> < - a - href = "https://github.com/vacp2p/10ksim" - target = "_blank" - rel = "noopener noreferrer" - className = "nav-item" - title = "10ksim Repository" > - < - span className = "nav-icon" > 📦 < /span> { - !isCollapsed && < span className = "nav-text" > 10 ksim < /span>} < - /a> < - /div> < - /nav> < - /div> - ); - } - - export default Sidebar; \ No newline at end of file diff --git a/dst_dashboard/frontend/src/context/ThemeContext.js b/dst_dashboard/frontend/src/context/ThemeContext.js new file mode 100644 index 00000000..e133de4f --- /dev/null +++ b/dst_dashboard/frontend/src/context/ThemeContext.js @@ -0,0 +1,34 @@ +import React, { createContext, useContext, useLayoutEffect, useState } from 'react'; + +const STORAGE_KEY = 'dst-dashboard-theme'; +const LIGHT = 'dst'; +const DARK = 'dst-dark'; + +const ThemeContext = createContext(null); + +function getInitialTheme() { + const stored = window.localStorage.getItem(STORAGE_KEY); + if (stored === LIGHT || stored === DARK) return stored; + return window.matchMedia?.('(prefers-color-scheme: dark)').matches ? DARK : LIGHT; +} + +export function ThemeProvider({ children }) { + const [theme, setTheme] = useState(getInitialTheme); + + useLayoutEffect(() => { + document.body.setAttribute('data-theme', theme); + window.localStorage.setItem(STORAGE_KEY, theme); + }, [theme]); + + const toggleTheme = () => setTheme((t) => (t === LIGHT ? DARK : LIGHT)); + + return ( + + {children} + + ); +} + +export function useTheme() { + return useContext(ThemeContext); +} diff --git a/dst_dashboard/frontend/src/hooks/useInView.js b/dst_dashboard/frontend/src/hooks/useInView.js new file mode 100644 index 00000000..5f648937 --- /dev/null +++ b/dst_dashboard/frontend/src/hooks/useInView.js @@ -0,0 +1,34 @@ +import { useEffect, useRef, useState } from 'react'; + +// Reports whether an element has scrolled into (or near) the viewport, then +// stops observing — used to defer mounting expensive chart instances until +// they're actually about to be seen. +export function useInView({ rootMargin = '200px' } = {}) { + const ref = useRef(null); + const [inView, setInView] = useState(false); + + useEffect(() => { + const node = ref.current; + if (!node || inView) return undefined; + + if (typeof IntersectionObserver === 'undefined') { + setInView(true); + return undefined; + } + + const observer = new IntersectionObserver( + ([entry]) => { + if (entry.isIntersecting) { + setInView(true); + observer.disconnect(); + } + }, + { rootMargin } + ); + + observer.observe(node); + return () => observer.disconnect(); + }, [inView, rootMargin]); + + return [ref, inView]; +} diff --git a/dst_dashboard/frontend/src/index.css b/dst_dashboard/frontend/src/index.css index 11b2aa55..f40d4981 100644 --- a/dst_dashboard/frontend/src/index.css +++ b/dst_dashboard/frontend/src/index.css @@ -1,25 +1,24 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + body { margin: 0; - font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; - background-color: #0a0a0a; - color: #ffffff; + transition: background-color 0.2s ease, color 0.2s ease; } -code { - font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New', monospace; +[data-theme="dst"] { + --content-secondary: #475651; + --content-tertiary: #848e88; } -* { - box-sizing: border-box; +[data-theme="dst-dark"] { + --content-secondary: #b8bdb8; + --content-tertiary: #848e88; } -a { - color: #60a5fa; - text-decoration: none; +code { + font-family: 'DM Mono', Menlo, Monaco, Consolas, 'Courier New', monospace; } - -a:hover { - text-decoration: underline; -} \ No newline at end of file diff --git a/dst_dashboard/frontend/src/pages/ComingSoonPage.js b/dst_dashboard/frontend/src/pages/ComingSoonPage.js new file mode 100644 index 00000000..1cfce736 --- /dev/null +++ b/dst_dashboard/frontend/src/pages/ComingSoonPage.js @@ -0,0 +1,17 @@ +import React from 'react'; + +function ComingSoonPage({ title, description }) { + return ( +
+ + VacLab + +

{title}

+

+ {description || `${title} is coming soon.`} +

+
+ ); +} + +export default ComingSoonPage; diff --git a/dst_dashboard/frontend/src/pages/ExperimentPage.js b/dst_dashboard/frontend/src/pages/ExperimentPage.js index 6b78d0bb..7ab25d99 100644 --- a/dst_dashboard/frontend/src/pages/ExperimentPage.js +++ b/dst_dashboard/frontend/src/pages/ExperimentPage.js @@ -1,207 +1,109 @@ import React, { useState, useEffect } from 'react'; -import { useParams } from 'react-router-dom'; +import { useParams, Link } from 'react-router-dom'; import axios from 'axios'; -import ReactECharts from 'echarts-for-react'; -import Sidebar from '../components/Sidebar'; import { API_BASE_URL } from '../config'; +import { useTheme } from '../context/ThemeContext'; +import ChartPanel from '../components/ChartPanel'; function ExperimentPage() { const { experimentId } = useParams(); + const { isDark } = useTheme(); const [experiment, setExperiment] = useState(null); - const [panels, setPanels] = useState([]); const [loading, setLoading] = useState(true); const [error, setError] = useState(null); - const [sidebarCollapsed, setSidebarCollapsed] = useState(false); useEffect(() => { - const fetchData = async () => { - try { - const expResponse = await axios.get(`${API_BASE_URL}/experiments/${experimentId}`); - setExperiment(expResponse.data); - - const panelsResponse = await axios.get(`${API_BASE_URL}/experiments/${experimentId}/panels`); - setPanels(panelsResponse.data.panels || []); + axios + .get(`${API_BASE_URL}/experiments/${experimentId}`) + .then((res) => { + setExperiment(res.data); setLoading(false); - } catch (err) { + }) + .catch((err) => { setError(err.message); setLoading(false); - } - }; - fetchData(); + }); }, [experimentId]); if (loading) { - return ( -
- setSidebarCollapsed(!sidebarCollapsed)} - /> -
-
-
Loading experiment...
-
-
-
- ); + return
Loading experiment...
; } if (error) { return ( -
- setSidebarCollapsed(!sidebarCollapsed)} - /> -
-
-
Error: {error}
-
-
+
+
Error: {error}
); } return ( -
- setSidebarCollapsed(!sidebarCollapsed)} - /> -
-
-
-
{experiment.family}
-

{experiment.title}

- {experiment.description && ( -

{experiment.description}

+
+
+
+ + ← Back to Experiments + +
+ {experiment.family} +
+

{experiment.title}

+ {experiment.description && ( +

+ {experiment.description} +

+ )} +
+ {experiment.github_repo && ( + + + + + GitHub + + )} + {experiment.github_pr && ( + + PR + + )} + {experiment.docker_image && ( + + {experiment.docker_image} + + )} + {experiment.date && ( + + {new Date(experiment.date).toLocaleDateString()} + )} -
- {experiment.github_repo && ( - - - - - GitHub - - )} - {experiment.github_pr && ( - - 🔀 PR - - )} - {experiment.docker_image && ( - 🐳 {experiment.docker_image} - )} - {experiment.date && ( - 📅 {new Date(experiment.date).toLocaleDateString()} - )} -
+
-
-
-
- {panels.map((panel) => { - // Process panel option to inject JavaScript formatters - const processedOption = JSON.parse(JSON.stringify(panel.option)); - - // Define formatter functions - const bytesFormatter = (value) => { - if (value >= 1073741824) return (value / 1073741824).toFixed(2) + ' GB/s'; - if (value >= 1048576) return (value / 1048576).toFixed(2) + ' MB/s'; - if (value >= 1024) return (value / 1024).toFixed(2) + ' KB/s'; - return value.toFixed(2) + ' B/s'; - }; - - const msFormatter = (value) => { - if (value >= 1000) return (value / 1000).toFixed(2) + ' s'; - return value.toFixed(2) + ' ms'; - }; - - const secondsFormatter = (value) => { - if (value >= 3600) return (value / 3600).toFixed(2) + ' h'; - if (value >= 60) return (value / 60).toFixed(2) + ' m'; - return value.toFixed(2) + ' s'; - }; - - const percentFormatter = (value) => { - return value.toFixed(2) + '%'; - }; - - const numberFormatter = (value) => { - if (value >= 1000000000) return (value / 1000000000).toFixed(2) + 'B'; - if (value >= 1000000) return (value / 1000000).toFixed(2) + 'M'; - if (value >= 1000) return (value / 1000).toFixed(2) + 'K'; - return value.toFixed(0); - }; - - // Replace formatter markers with actual functions - if (processedOption.yAxis?.axisLabel?.formatter === '__BYTES_FORMATTER__') { - processedOption.yAxis.axisLabel.formatter = bytesFormatter; - } - if (processedOption.tooltip?.valueFormatter === '__BYTES_FORMATTER__') { - processedOption.tooltip.valueFormatter = bytesFormatter; - } - - if (processedOption.yAxis?.axisLabel?.formatter === '__MS_FORMATTER__') { - processedOption.yAxis.axisLabel.formatter = msFormatter; - } - if (processedOption.tooltip?.valueFormatter === '__MS_FORMATTER__') { - processedOption.tooltip.valueFormatter = msFormatter; - } - - if (processedOption.yAxis?.axisLabel?.formatter === '__SECONDS_FORMATTER__') { - processedOption.yAxis.axisLabel.formatter = secondsFormatter; - } - if (processedOption.tooltip?.valueFormatter === '__SECONDS_FORMATTER__') { - processedOption.tooltip.valueFormatter = secondsFormatter; - } - - if (processedOption.yAxis?.axisLabel?.formatter === '__PERCENT_FORMATTER__') { - processedOption.yAxis.axisLabel.formatter = percentFormatter; - } - if (processedOption.tooltip?.valueFormatter === '__PERCENT_FORMATTER__') { - processedOption.tooltip.valueFormatter = percentFormatter; - } - - if (processedOption.yAxis?.axisLabel?.formatter === '__NUMBER_FORMATTER__') { - processedOption.yAxis.axisLabel.formatter = numberFormatter; - } - if (processedOption.tooltip?.valueFormatter === '__NUMBER_FORMATTER__') { - processedOption.tooltip.valueFormatter = numberFormatter; - } - - return ( -
-

{panel.panel_title}

- {panel.error ? ( -
Error: {panel.error}
- ) : ( - - )} -
- ); - })} -
-
+
+
+ {experiment.panels.map((panelMeta) => ( + + ))}
diff --git a/dst_dashboard/frontend/src/pages/ExperimentsPage.js b/dst_dashboard/frontend/src/pages/ExperimentsPage.js new file mode 100644 index 00000000..2f500aac --- /dev/null +++ b/dst_dashboard/frontend/src/pages/ExperimentsPage.js @@ -0,0 +1,172 @@ +import React, { useState, useEffect } from 'react'; +import { useNavigate } from 'react-router-dom'; +import axios from 'axios'; +import { API_BASE_URL } from '../config'; + +function ExperimentsPage() { + const [familiesData, setFamiliesData] = useState(null); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const [selectedCategory, setSelectedCategory] = useState('all'); + const navigate = useNavigate(); + + useEffect(() => { + fetchFamilies(); + }, []); + + const fetchFamilies = async () => { + try { + const response = await axios.get(`${API_BASE_URL}/experiments/families`); + setFamiliesData(response.data); + setLoading(false); + } catch (err) { + setError(err.message); + setLoading(false); + } + }; + + if (loading) { + return
Loading experiments...
; + } + + if (error) { + return ( +
+
Error loading experiments: {error}
+
+ ); + } + + const allExperiments = []; + familiesData?.families?.forEach((family) => { + family.experiments?.forEach((exp) => { + allExperiments.push({ + ...exp, + family: family.name, + }); + }); + }); + + const filteredExperiments = selectedCategory === 'all' + ? allExperiments + : allExperiments.filter((exp) => exp.family === selectedCategory); + + return ( +
+
+ + Data + +

Experiments

+

+ Browse benchmark runs by category and drill into individual experiment results. +

+
+ + {/* Categories */} +
+
+

Categories

+
+ + {familiesData?.families?.map((family) => ( + + ))} +
+
+
+ + {/* Experiments grid */} +
+
+

+ {selectedCategory === 'all' ? 'All Experiments' : `${selectedCategory} Experiments`} +

+
+ {filteredExperiments.map((experiment) => ( +
navigate(`/experiment/${experiment.id}`)} + className="card bg-base-200 border border-base-100 hover:border-secondary hover:-translate-y-1 transition-all cursor-pointer" + > +
+
+

{experiment.title}

+ {experiment.date && ( + + {new Date(experiment.date).toLocaleDateString('en-US', { + month: 'short', + day: 'numeric', + })} + + )} +
+ + {experiment.description && ( +

+ {experiment.description} +

+ )} + + +
+
+ ))} +
+
+
+
+ ); +} + +export default ExperimentsPage; diff --git a/dst_dashboard/frontend/src/pages/HomePage.js b/dst_dashboard/frontend/src/pages/HomePage.js index ec591af4..4557ab88 100644 --- a/dst_dashboard/frontend/src/pages/HomePage.js +++ b/dst_dashboard/frontend/src/pages/HomePage.js @@ -1,200 +1,63 @@ import React, { useState, useEffect } from 'react'; -import { useNavigate } from 'react-router-dom'; +import { Link } from 'react-router-dom'; import axios from 'axios'; -import ReactECharts from 'echarts-for-react'; -import Sidebar from '../components/Sidebar'; import { API_BASE_URL } from '../config'; function HomePage() { - const [familiesData, setFamiliesData] = useState(null); - const [loading, setLoading] = useState(true); - const [error, setError] = useState(null); - const [selectedCategory, setSelectedCategory] = useState('all'); - const [sidebarCollapsed, setSidebarCollapsed] = useState(false); - const navigate = useNavigate(); + const [stats, setStats] = useState({ totalExperiments: 0, totalFamilies: 0 }); useEffect(() => { - fetchFamilies(); + axios + .get(`${API_BASE_URL}/experiments/families`) + .then((res) => { + setStats({ + totalExperiments: res.data?.total_experiments || 0, + totalFamilies: res.data?.total_families || 0, + }); + }) + .catch(() => {}); }, []); - const fetchFamilies = async () => { - try { - const response = await axios.get(`${API_BASE_URL}/experiments/families`); - setFamiliesData(response.data); - setLoading(false); - } catch (err) { - setError(err.message); - setLoading(false); - } - }; - - if (loading) { - return ( -
- setSidebarCollapsed(!sidebarCollapsed)} - /> -
-
-
Loading experiments...
-
-
-
- ); - } - - if (error) { - return ( -
- setSidebarCollapsed(!sidebarCollapsed)} - /> -
-
-
Error loading experiments: {error}
-
-
-
- ); - } - - const totalExperiments = familiesData?.total_experiments || 0; - const totalFamilies = familiesData?.total_families || 0; - - const allExperiments = []; - familiesData?.families?.forEach((family) => { - family.experiments?.forEach((exp) => { - allExperiments.push({ - ...exp, - family: family.name - }); - }); - }); - - const filteredExperiments = selectedCategory === 'all' - ? allExperiments - : allExperiments.filter(exp => exp.family === selectedCategory); - return ( -
- setSidebarCollapsed(!sidebarCollapsed)} - /> -
-
-
-

DST Dashboard

-

Distributed Systems Testing Analytics

-
+
+ {/* Hero */} +
+
+ + VacLab DST Dashboard + +

+ Evaluating Distributed Systems at Scale +

+

+ We build tooling and infrastructure to measure the performance of peer-to-peer network protocols, + identify bottlenecks and propose improvements. +

+ + Explore Experiments + + + +
+
-
-
-

Categories

-
-
setSelectedCategory('all')} - > - All Experiments - {allExperiments.length} -
- {familiesData?.families?.map((family) => ( -
setSelectedCategory(family.name)} - > - {family.name} - {family.experiments?.length || 0} -
- ))} -
-
- -
-

- {selectedCategory === 'all' ? 'All Experiments' : `${selectedCategory} Experiments`} -

-
- {filteredExperiments.map((experiment) => ( -
navigate(`/experiment/${experiment.id}`)} - > -
-

{experiment.title}

- {experiment.date && ( - - 📅 {new Date(experiment.date).toLocaleDateString('en-US', { - month: 'short', - day: 'numeric' - })} - - )} -
- - {experiment.description && ( -

{experiment.description}

- )} - -
- {experiment.github_repo && ( - e.stopPropagation()} - target="_blank" - rel="noopener noreferrer" - > - - - - GitHub - - )} - {experiment.github_pr && ( - e.stopPropagation()} - target="_blank" - rel="noopener noreferrer" - > - 🔀 PR - - )} - {experiment.docker_image && ( - - 🐳 {experiment.docker_image.split(':').pop()} - - )} -
-
- ))} -
+ {/* Stats bar */} +
+
+
+ +
{stats.totalExperiments}
+
Experiments
- -
-
-
-

{totalExperiments}

-

Total Experiments

-

Last updated {new Date().toLocaleDateString()}

-
-
-

{totalFamilies}

-

Categories

-

Last updated {new Date().toLocaleDateString()}

-
-
+
+
+ +
{stats.totalFamilies}
+
Projects
-
+
); } diff --git a/dst_dashboard/frontend/src/utils/chartOptions.js b/dst_dashboard/frontend/src/utils/chartOptions.js new file mode 100644 index 00000000..012d7771 --- /dev/null +++ b/dst_dashboard/frontend/src/utils/chartOptions.js @@ -0,0 +1,105 @@ +const FORMATTERS = { + __BYTES_FORMATTER__: (value) => { + if (value >= 1073741824) return (value / 1073741824).toFixed(2) + ' GB/s'; + if (value >= 1048576) return (value / 1048576).toFixed(2) + ' MB/s'; + if (value >= 1024) return (value / 1024).toFixed(2) + ' KB/s'; + return value.toFixed(2) + ' B/s'; + }, + __MS_FORMATTER__: (value) => { + if (value >= 1000) return (value / 1000).toFixed(2) + ' s'; + return value.toFixed(2) + ' ms'; + }, + __SECONDS_FORMATTER__: (value) => { + if (value >= 3600) return (value / 3600).toFixed(2) + ' h'; + if (value >= 60) return (value / 60).toFixed(2) + ' m'; + return value.toFixed(2) + ' s'; + }, + __PERCENT_FORMATTER__: (value) => value.toFixed(2) + '%', + __NUMBER_FORMATTER__: (value) => { + if (value >= 1000000000) return (value / 1000000000).toFixed(2) + 'B'; + if (value >= 1000000) return (value / 1000000).toFixed(2) + 'M'; + if (value >= 1000) return (value / 1000).toFixed(2) + 'K'; + return value.toFixed(0); + }, +}; + +function injectFormatters(option) { + const yAxisMarker = option.yAxis?.axisLabel?.formatter; + if (yAxisMarker && FORMATTERS[yAxisMarker]) { + option.yAxis.axisLabel.formatter = FORMATTERS[yAxisMarker]; + } + const tooltipMarker = option.tooltip?.valueFormatter; + if (tooltipMarker && FORMATTERS[tooltipMarker]) { + option.tooltip.valueFormatter = FORMATTERS[tooltipMarker]; + } + return option; +} + +const CHART_PALETTES = { + light: { + tooltipBg: '#f5f5ef', + tooltipBorder: '#dbddd7', + text: '#152521', + axisLabel: '#475651', + axisLine: '#b8bdb8', + splitLine: '#eceee4', + toolboxBorder: '#848e88', + legendInactive: '#dbddd7', + }, + dark: { + tooltipBg: '#1b2420', + tooltipBorder: '#2f3b35', + text: '#f5f5ef', + axisLabel: '#b8bdb8', + axisLine: '#3a4540', + splitLine: '#222b26', + toolboxBorder: '#848e88', + legendInactive: '#3a4540', + }, +}; + +// Panel options are generated server-side with colors tuned for a dark background. +// Re-theme them here so charts stay legible on whichever DST/VacLab theme is active, +// and hide the chart's own title since the card header above it already shows it. +function applyChartTheme(option, isDark) { + const palette = isDark ? CHART_PALETTES.dark : CHART_PALETTES.light; + + if (option.title) { + option.title = { ...option.title, show: false }; + } + if (option.tooltip) { + option.tooltip.backgroundColor = palette.tooltipBg; + option.tooltip.borderColor = palette.tooltipBorder; + option.tooltip.textStyle = { ...option.tooltip.textStyle, color: palette.text }; + if (option.tooltip.axisPointer?.lineStyle) { + option.tooltip.axisPointer.lineStyle.color = palette.axisLine; + } + } + if (option.legend) { + option.legend.textStyle = { ...option.legend.textStyle, color: palette.axisLabel }; + option.legend.pageTextStyle = { ...option.legend.pageTextStyle, color: palette.axisLabel }; + option.legend.pageIconInactiveColor = palette.legendInactive; + } + if (option.toolbox) { + option.toolbox.iconStyle = { ...option.toolbox.iconStyle, borderColor: palette.toolboxBorder }; + } + ['xAxis', 'yAxis'].forEach((axisKey) => { + const axis = option[axisKey]; + if (!axis) return; + if (axis.axisLabel) axis.axisLabel.color = palette.axisLabel; + if (axis.axisLine?.lineStyle) axis.axisLine.lineStyle.color = palette.axisLine; + if (axis.splitLine?.lineStyle) axis.splitLine.lineStyle.color = palette.splitLine; + if (axis.nameTextStyle) axis.nameTextStyle.color = palette.axisLabel; + }); + return option; +} + +// Builds a ready-to-render ECharts option from the raw server-provided panel +// option: injects real formatter functions in place of the string markers +// (functions can't survive JSON), and re-themes colors for the active theme. +export function buildChartOption(rawOption, isDark) { + const option = JSON.parse(JSON.stringify(rawOption)); + injectFormatters(option); + applyChartTheme(option, isDark); + return option; +} diff --git a/dst_dashboard/frontend/tailwind.config.js b/dst_dashboard/frontend/tailwind.config.js new file mode 100644 index 00000000..bf0a489a --- /dev/null +++ b/dst_dashboard/frontend/tailwind.config.js @@ -0,0 +1,73 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + content: [ + './public/index.html', + './src/**/*.{js,jsx}', + ], + theme: { + extend: { + fontFamily: { + sans: ['"DM Sans"', 'sans-serif'], + mono: ['"DM Mono"', 'monospace'], + }, + colors: { + 'base-content-secondary': 'var(--content-secondary)', + 'base-content-tertiary': 'var(--content-tertiary)', + }, + }, + }, + plugins: [require('daisyui')], + daisyui: { + themes: [ + { + dst: { + 'base-100': '#f5f5ef', + 'base-200': '#eceee4', + 'base-300': '#dbddd7', + 'base-content': '#152521', + primary: '#152521', + 'primary-content': '#f5f5ef', + secondary: '#5f797c', + 'secondary-content': '#f5f5ef', + accent: '#ffd328', + 'accent-content': '#152521', + neutral: '#dbddd7', + 'neutral-content': '#152521', + info: '#c6ebf7', + 'info-content': '#152521', + success: '#2f9e6b', + 'success-content': '#f5f5ef', + warning: '#ffd328', + 'warning-content': '#152521', + error: '#e40014', + 'error-content': '#f5f5ef', + }, + }, + { + 'dst-dark': { + 'base-100': '#1b2420', + 'base-200': '#141a17', + 'base-300': '#0d1210', + 'base-content': '#f5f5ef', + primary: '#ffd328', + 'primary-content': '#152521', + secondary: '#9ea5a0', + 'secondary-content': '#152521', + accent: '#ffd328', + 'accent-content': '#152521', + neutral: '#1f2a25', + 'neutral-content': '#f5f5ef', + info: '#5f797c', + 'info-content': '#f5f5ef', + success: '#2f9e6b', + 'success-content': '#152521', + warning: '#ffd328', + 'warning-content': '#152521', + error: '#fb2c36', + 'error-content': '#152521', + }, + }, + ], + darkTheme: 'dst-dark', + }, +}; diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py index f55dac26..0d3bda6a 100644 --- a/dst_dashboard/processors/panel_processor.py +++ b/dst_dashboard/processors/panel_processor.py @@ -216,7 +216,7 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC "text": panel_config.title, "left": "center", "textStyle": { - "color": "#ffffff" + "color": "#152521" } }, "tooltip": { @@ -233,7 +233,7 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC "saveAsImage": {"title": "Save"} }, "iconStyle": { - "borderColor": "#999999" + "borderColor": "#848e88" }, "emphasis": { "iconStyle": { @@ -259,15 +259,15 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC "data": categories, "boundaryGap": True, "splitArea": {"show": False}, - "axisLabel": {"color": "#999999"}, - "axisLine": {"lineStyle": {"color": "#333333"}} + "axisLabel": {"color": "#475651"}, + "axisLine": {"lineStyle": {"color": "#b8bdb8"}} }, "yAxis": { "type": "value", "splitArea": {"show": False}, - "axisLabel": {"color": "#999999"}, - "axisLine": {"lineStyle": {"color": "#333333"}}, - "splitLine": {"lineStyle": {"color": "#1a1a1a"}} + "axisLabel": {"color": "#475651"}, + "axisLine": {"lineStyle": {"color": "#b8bdb8"}}, + "splitLine": {"lineStyle": {"color": "#eceee4"}} }, "series": [ { @@ -430,7 +430,7 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "left": "center", "top": 10, "textStyle": { - "color": "#ffffff", + "color": "#152521", "fontSize": 16, "fontWeight": "normal" } @@ -440,15 +440,15 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "axisPointer": { "type": "line", "lineStyle": { - "color": "#555", + "color": "#b8bdb8", "type": "dashed" } }, - "backgroundColor": "rgba(0, 0, 0, 0.9)", - "borderColor": "#333", + "backgroundColor": "rgba(245, 245, 239, 0.95)", + "borderColor": "#dbddd7", "borderWidth": 1, "textStyle": { - "color": "#fff", + "color": "#152521", "fontSize": 12 }, "confine": True @@ -459,13 +459,13 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "bottom": 5, "left": "center", "textStyle": { - "color": "#999999", + "color": "#475651", "fontSize": 11 }, "pageIconColor": "#5470c6", - "pageIconInactiveColor": "#444", + "pageIconInactiveColor": "#dbddd7", "pageTextStyle": { - "color": "#999" + "color": "#475651" }, "icon": "roundRect" }, @@ -480,7 +480,7 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "saveAsImage": {"title": "Save"} }, "iconStyle": { - "borderColor": "#999999" + "borderColor": "#848e88" }, "emphasis": { "iconStyle": { @@ -508,13 +508,13 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "type": "time", "boundaryGap": False, "axisLabel": { - "color": "#999999", + "color": "#475651", "fontSize": 11, "formatter": "{HH}:{mm}" }, "axisLine": { "lineStyle": { - "color": "#333333" + "color": "#b8bdb8" } }, "axisTick": { @@ -527,7 +527,7 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "yAxis": { "type": "value", "axisLabel": { - "color": "#999999", + "color": "#475651", "fontSize": 11 }, "axisLine": { @@ -538,7 +538,7 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan }, "splitLine": { "lineStyle": { - "color": "#1a1a1a", + "color": "#eceee4", "type": "solid" } } @@ -550,10 +550,10 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan if panel_config.style: if panel_config.style.xLabel: option["xAxis"]["name"] = panel_config.style.xLabel - option["xAxis"]["nameTextStyle"] = {"color": "#999999", "fontSize": 11} + option["xAxis"]["nameTextStyle"] = {"color": "#475651", "fontSize": 11} if panel_config.style.yLabel: option["yAxis"]["name"] = panel_config.style.yLabel - option["yAxis"]["nameTextStyle"] = {"color": "#999999", "fontSize": 11} + option["yAxis"]["nameTextStyle"] = {"color": "#475651", "fontSize": 11} if panel_config.style.yMin is not None: option["yAxis"]["min"] = panel_config.style.yMin if panel_config.style.yMax is not None: diff --git a/inspect_db.py b/inspect_db.py deleted file mode 100644 index 95a69507..00000000 --- a/inspect_db.py +++ /dev/null @@ -1,46 +0,0 @@ -#!/usr/bin/env python3 -"""Quick database inspection script.""" - -import json -from dst_dashboard.storage.db import DSTDatabase - -db = DSTDatabase() - -print("\n" + "="*80) -print("DATABASE CONTENTS") -print("="*80) - -# Datasources -print("\n📊 DATASOURCES:") -for ds in db.datasources.find({}): - print(f" {ds['name']} ({ds['type']})") - -# Experiments -print("\n🔬 EXPERIMENTS:") -for exp in db.experiments.find({}): - print(f"\n ID: {exp['id']}") - print(f" Title: {exp['title']}") - print(f" # Datasets: {len(exp.get('datasets', []))}") - print(f" # Panels: {len(exp.get('panels', []))}") - -# Datasets -print("\n📁 DATASETS:") -for ds in db.datasets.find({}): - print(f"\n {ds.get('experiment_id')}:{ds.get('dataset_name')}") - data = ds.get('data', []) - print(f" Rows: {len(data)}") - if data: - sample = data[0] - print(f" Fields: {list(sample.keys())}") - print(f" Sample: {json.dumps(sample, indent=4, default=str)}") - -# Panels -print("\n📈 PANELS:") -for panel in db.panels.find({}): - panel_data = panel.get('data', {}) - print(f"\n {panel.get('experiment_id')}:{panel.get('name')}") - print(f" Type: {panel_data.get('type')}") - print(f" Dataset: {panel_data.get('dataset')}") - print(f" Publish: {panel_data.get('publish')}") - -print("\n" + "="*80 + "\n") diff --git a/test_dashboard.py b/test_dashboard.py deleted file mode 100644 index b397b94f..00000000 --- a/test_dashboard.py +++ /dev/null @@ -1,135 +0,0 @@ -#!/usr/bin/env python3 -"""Test script to inspect database and test API endpoints.""" - -import requests -import json -from dst_dashboard.storage.db import DSTDatabase -from dst_dashboard.config.utils import LoadConfig - -def print_section(title): - """Print section header.""" - print("\n" + "="*80) - print(f" {title}") - print("="*80) - -def inspect_database(): - """Inspect what's stored in the database.""" - print_section("DATABASE INSPECTION") - - db = DSTDatabase() - - # Check datasources - print("\n📊 DATASOURCES:") - datasources = list(db.datasources.find({})) - print(f" Total: {len(datasources)}") - for ds in datasources: - print(f" - {ds.get('name')} ({ds.get('type')}) - {ds.get('url')}") - - # Check experiments - print("\n🔬 EXPERIMENTS:") - experiments = list(db.experiments.find({})) - print(f" Total: {len(experiments)}") - for exp in experiments: - print(f" - ID: {exp.get('id')}") - print(f" Title: {exp.get('title')}") - print(f" Datasets: {len(exp.get('datasets', []))}") - print(f" Panels: {len(exp.get('panels', []))}") - - # Check datasets - print("\n📁 DATASETS:") - datasets = list(db.datasets.find({})) - print(f" Total: {len(datasets)}") - for ds in datasets: - data = ds.get('data', []) - print(f" - {ds.get('experiment_id')}:{ds.get('dataset_name')}") - print(f" Rows: {len(data)}") - if data: - print(f" Sample row: {json.dumps(data[0], indent=6, default=str)}") - print(f" Fields: {list(data[0].keys())}") - - # Check panels - print("\n📈 PANELS:") - panels = list(db.panels.find({})) - print(f" Total: {len(panels)}") - for panel in panels: - print(f" - {panel.get('experiment_id')}:{panel.get('name')}") - print(f" Type: {panel.get('type')}") - print(f" Dataset: {panel.get('dataset')}") - -def test_api_endpoints(): - """Test API endpoints.""" - print_section("API ENDPOINT TESTS") - - base_url = "http://localhost:8000" - - # Test datasources - print("\n🔌 GET /datasources") - response = requests.get(f"{base_url}/datasources") - print(f" Status: {response.status_code}") - if response.ok: - data = response.json() - print(f" Count: {len(data)}") - for ds in data: - print(f" - {ds['name']} ({ds['type']})") - - # Test experiments - print("\n🔬 GET /experiments") - response = requests.get(f"{base_url}/experiments") - print(f" Status: {response.status_code}") - if response.ok: - experiments = response.json() - print(f" Count: {len(experiments)}") - - # Test each experiment's datasets - for exp in experiments: - exp_id = exp['id'] - print(f"\n 📊 Experiment: {exp_id}") - - # Get datasets for this experiment - for dataset in exp.get('datasets', []): - dataset_name = dataset['name'] - print(f"\n 📁 Dataset: {dataset_name}") - - # Get dataset config - response = requests.get( - f"{base_url}/experiments/{exp_id}/datasets/{dataset_name}" - ) - print(f" Config status: {response.status_code}") - if response.ok: - config = response.json() - print(f" Datasource: {config['datasource']}") - print(f" Schema fields: {[f['name'] for f in config.get('schema', [])]}") - - # Get dataset data - response = requests.get( - f"{base_url}/experiments/{exp_id}/datasets/{dataset_name}/data" - ) - print(f" Data status: {response.status_code}") - if response.ok: - result = response.json() - data = result.get('data', []) - source = result.get('source', 'unknown') - print(f" Rows: {len(data)} (from {source})") - if data: - print(f" Sample row: {json.dumps(data[0], indent=10, default=str)}") - print(f" Fields: {list(data[0].keys())}") - else: - print(f" Error: {response.text}") - -def main(): - """Run all tests.""" - print("\n" + "🚀 DST Dashboard Test Suite ".center(80, "=")) - - try: - inspect_database() - test_api_endpoints() - - print("\n" + "✅ Test Complete ".center(80, "=") + "\n") - - except Exception as e: - print(f"\n❌ Error: {e}") - import traceback - traceback.print_exc() - -if __name__ == "__main__": - main() From d2705b90fb112ed6d0f6fa3baa59077117df58bc Mon Sep 17 00:00:00 2001 From: Mamoutou Diarra Date: Sun, 12 Jul 2026 01:05:32 +0200 Subject: [PATCH 4/7] move to mongodb, improve and add tests --- dst_dashboard/README.md | 74 +- dst_dashboard/api/admin.py | 158 ++-- dst_dashboard/api/datasets.py | 46 +- dst_dashboard/api/datasources.py | 12 +- dst_dashboard/api/experiments.py | 69 +- dst_dashboard/api/panels.py | 55 +- dst_dashboard/api/response_models.py | 30 - dst_dashboard/api/utils.py | 108 +-- dst_dashboard/auth.py | 57 ++ dst_dashboard/config/constants.py | 22 +- dst_dashboard/config/data_structures.py | 7 +- dst_dashboard/k8s/backend.yaml | 310 ++------ dst_dashboard/k8s/frontend.yaml | 20 +- dst_dashboard/k8s/mongodb-dev.yaml | 79 ++ dst_dashboard/k8s/mongodb-prod.yaml | 79 ++ dst_dashboard/main.py | 78 +- dst_dashboard/processors/dataset_processor.py | 107 ++- .../processors/experiment_processor.py | 127 +-- dst_dashboard/processors/panel_processor.py | 150 +--- dst_dashboard/processors/tests/__init__.py | 0 .../processors/tests/test_panel_processor.py | 723 ++++++++++++++++++ dst_dashboard/sample_config.yaml | 286 +------ dst_dashboard/scripts/__init__.py | 0 .../scripts/seed_data/experiments.json | 366 +++++++++ dst_dashboard/scripts/seed_experiments.py | 91 +++ dst_dashboard/static/admin.html | 384 ++++++++++ dst_dashboard/storage/db.py | 380 ++++----- pyproject.toml | 5 +- uv.lock | 94 ++- 29 files changed, 2469 insertions(+), 1448 deletions(-) delete mode 100644 dst_dashboard/api/response_models.py create mode 100644 dst_dashboard/auth.py create mode 100644 dst_dashboard/k8s/mongodb-dev.yaml create mode 100644 dst_dashboard/k8s/mongodb-prod.yaml create mode 100644 dst_dashboard/processors/tests/__init__.py create mode 100644 dst_dashboard/processors/tests/test_panel_processor.py create mode 100644 dst_dashboard/scripts/__init__.py create mode 100644 dst_dashboard/scripts/seed_data/experiments.json create mode 100644 dst_dashboard/scripts/seed_experiments.py create mode 100644 dst_dashboard/static/admin.html diff --git a/dst_dashboard/README.md b/dst_dashboard/README.md index c7ddcdd6..6447d33c 100644 --- a/dst_dashboard/README.md +++ b/dst_dashboard/README.md @@ -15,16 +15,76 @@ uvicorn dst_dashboard.main:app --reload ## Environment Variables ```bash -export DST_DB_PATH=~/.cache/dst_dashboard # Optional, default location +export DST_CONFIG_PATH=~/.cache/dst_dashboard/config.yaml # Optional, default location +export DST_MONGO_URI=mongodb://localhost:27017 # Optional, default location +export DST_MONGO_DB_NAME=dst_dashboard # Optional, default name +export DST_JWT_SECRET= # Required outside local dev ``` +`config.yaml` only defines datasources (VictoriaLogs/Prometheus connections) - it no +longer defines experiments. Experiments live only in MongoDB and are managed +exclusively through the API (see below). + +## Managing experiments + +Creating, updating, and deleting experiments requires an admin bearer token. + +1. Get a token from the `Admin Page` (Accessible from the vaclab home page). +2. Use it as `Authorization: Bearer ` on any write request below. + + `title` must be unique across all experiments. + +### Create + +```bash +TOKEN="" + +curl -X POST https://api.dashboard.lab.vac.dev/experiments \ + -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + -d @experiment.json +``` + +The response includes the generated `id` - save it, you'll need it for update/delete. +A `409` means an experiment with that `title` already exists. + +### Update + +```bash +curl -X PUT https://api.dashboard.lab.vac.dev/experiments/ \ + -H "Authorization: Bearer $TOKEN" \ + -H "Content-Type: application/json" \ + -d @experiment.json +``` + +Only reprocesses datasets/panels if their configuration actually changed. + +### Delete + +```bash +curl -X DELETE https://api.dashboard.lab.vac.dev/experiments/ \ + -H "Authorization: Bearer $TOKEN" +``` + +Cascades to the experiment's datasets and panels. + +### Bulk-loading from a file + +See `dst_dashboard/scripts/seed_experiments.py` for loading many experiments at once +from a JSON file (`{"experiments": [...]}`, same shape as a single experiment's body). + +There's also a small UI for all of this in the `Admin Page` - paste JSON, create/edit/delete +without needing curl. + ## Structure ``` dst_dashboard/ -├── main.py # FastAPI app entry -├── experiment_descriptors/ # YAML config models -├── processors/ # Data fetching/transformation -├── storage/ # MontyDB cache -└── api/ # FastAPI REST endpoints -``` \ No newline at end of file +├── main.py # FastAPI app entry +├── auth.py # Admin JWT issuing/verification +├── config/ # Config loading + data models +├── processors/ # Data fetching/transformation +├── storage/ # MongoDB client +├── scripts/ # Seeding/ops scripts +└── api/ # FastAPI REST endpoints +``` diff --git a/dst_dashboard/api/admin.py b/dst_dashboard/api/admin.py index 5102658f..abfdbaa6 100644 --- a/dst_dashboard/api/admin.py +++ b/dst_dashboard/api/admin.py @@ -1,74 +1,52 @@ """Admin API routes for configuration and data management.""" -from fastapi import APIRouter, Request, HTTPException +from pathlib import Path + +from fastapi import APIRouter, Depends, Request, HTTPException +from fastapi.responses import HTMLResponse import logging from dst_dashboard.config.utils import LoadConfig from dst_dashboard.storage.db import DSTDatabase from dst_dashboard.processors.experiment_processor import ExperimentProcessor +from dst_dashboard.auth import create_admin_token, require_admin_token router = APIRouter(prefix="/admin", tags=["admin"]) logger = logging.getLogger(__name__) +_ADMIN_HTML_PATH = Path(__file__).parent.parent / "static" / "admin.html" + @router.post("/reload") -async def reload_config(request: Request): - """ - Reload configuration from file and re-process all experiments. - - This will: - 1. Reload the config file - 2. Clear and re-insert datasources - 3. Re-process all experiments (fetch datasets, store panels) - - Returns: - Summary of reloaded data - """ +def reload_config(request: Request, _: None = Depends(require_admin_token)): + """Reload datasources from config.yaml (experiments are API-managed and unaffected).""" try: logger.info("Reloading configuration...") - + # Load and validate configuration config = LoadConfig().WithValidateDatasources() - logger.info( - f"Reloaded configuration with {len(config.datasources)} datasources " - f"and {len(config.experiments)} experiments" - ) - + logger.info(f"Reloaded configuration with {len(config.datasources)} datasources") + # Update app state request.app.state.config = config request.app.state.datasources = config.datasources - + # Initialize database db = DSTDatabase() - + # Clear and re-insert datasources db.datasources.delete_many({}) db.insert_datasource_list(config.datasources) logger.info(f"Re-inserted {len(config.datasources)} datasources") - - # Initialize experiment processor - processor = ExperimentProcessor(config, db) - - # Process all experiments - results = processor.process_all_experiments() - - logger.info( - f"Configuration reload completed: " - f"{len(results['processed_experiments'])}/{results['total_experiments']} experiments processed" - ) - + return { "status": "success", - "message": "Configuration reloaded successfully", + "message": "Datasources reloaded successfully", "summary": { "datasources": len(config.datasources), - "experiments_total": results['total_experiments'], - "experiments_processed": len(results['processed_experiments']), - "experiments_failed": len(results['failed_experiments']), }, - "details": results } - + except Exception as e: logger.error(f"Failed to reload configuration: {e}", exc_info=True) raise HTTPException( @@ -78,25 +56,15 @@ async def reload_config(request: Request): @router.delete("/datasets/{experiment_id}/{dataset_name}") -async def clear_dataset(experiment_id: str, dataset_name: str): - """ - Clear cached dataset data to force re-fetch on next request. - - Args: - experiment_id: Experiment ID - dataset_name: Dataset name - - Returns: - Deletion confirmation - """ +def clear_dataset( + experiment_id: str, dataset_name: str, _: None = Depends(require_admin_token) +): + """Clear cached dataset data to force re-fetch on next request.""" try: db = DSTDatabase() - dataset_id = f"{experiment_id}:{dataset_name}" - - result = db.datasets.delete_one({"id": dataset_id}) - - if result.deleted_count > 0: - logger.info(f"Cleared dataset: {dataset_id}") + + if db.delete_dataset(experiment_id, dataset_name): + logger.info(f"Cleared dataset: {experiment_id}:{dataset_name}") return { "status": "success", "message": f"Dataset '{dataset_name}' cleared successfully" @@ -106,7 +74,7 @@ async def clear_dataset(experiment_id: str, dataset_name: str): status_code=404, detail=f"Dataset '{dataset_name}' not found" ) - + except HTTPException: raise except Exception as e: @@ -118,24 +86,19 @@ async def clear_dataset(experiment_id: str, dataset_name: str): @router.delete("/datasets") -async def clear_all_datasets(): - """ - Clear all cached dataset data to force re-fetch. - - Returns: - Deletion confirmation - """ +def clear_all_datasets(_: None = Depends(require_admin_token)): + """Clear all cached dataset data to force re-fetch.""" try: db = DSTDatabase() - result = db.datasets.delete_many({}) - - logger.info(f"Cleared {result.deleted_count} datasets") - + count = db.clear_all_dataset_cache() + + logger.info(f"Cleared {count} datasets") + return { "status": "success", - "message": f"Cleared {result.deleted_count} datasets successfully" + "message": f"Cleared {count} datasets successfully" } - + except Exception as e: logger.error(f"Failed to clear datasets: {e}") raise HTTPException( @@ -145,43 +108,32 @@ async def clear_all_datasets(): @router.post("/experiments/{experiment_id}/reprocess") -async def reprocess_experiment(experiment_id: str, request: Request): - """ - Reprocess a single experiment - fetch datasets and regenerate panels. - - This will: - 1. Get experiment config from database - 2. Fetch all datasets - 3. Transform and store all panels - - Args: - experiment_id: Experiment ID to reprocess - - Returns: - Reprocessing results - """ +def reprocess_experiment( + experiment_id: str, request: Request, _: None = Depends(require_admin_token) +): + """Reprocess a single experiment - fetch datasets and regenerate panels.""" try: db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if not experiment_data: raise HTTPException(status_code=404, detail="Experiment not found") - + # Get config from app state config = request.app.state.config - + # Initialize processor from dst_dashboard.config.data_structures import ExperimentConfig processor = ExperimentProcessor(config, db) - + experiment = ExperimentConfig(**experiment_data) - + logger.info(f"Reprocessing experiment: {experiment_id}") - + # Process the experiment (this will fetch datasets and transform panels) success = processor.process_experiment(experiment) - + if success: return { "status": "success", @@ -195,7 +147,7 @@ async def reprocess_experiment(experiment_id: str, request: Request): status_code=500, detail=f"Failed to reprocess experiment '{experiment_id}'" ) - + except HTTPException: raise except Exception as e: @@ -204,3 +156,23 @@ async def reprocess_experiment(experiment_id: str, request: Request): status_code=500, detail=f"Failed to reprocess experiment: {str(e)}" ) + + +@router.get("/token", response_class=HTMLResponse) +def admin_page(): + """ + Serve the admin page: a "Generate token" button, plus a small UI for + creating/editing/deleting experiments by pasting JSON. + + Not gated by require_admin_token - you need this page to get a token in + the first place. Access is instead controlled upstream by Authentik + forward-auth on this ingress path (which covers both GET and POST here). + """ + return HTMLResponse(content=_ADMIN_HTML_PATH.read_text()) + + +@router.post("/token") +def generate_admin_token(): + """Mint a fresh admin-scope token. Same protection boundary as GET /admin/token.""" + return {"token": create_admin_token()} + diff --git a/dst_dashboard/api/datasets.py b/dst_dashboard/api/datasets.py index d53a2278..9aba8138 100644 --- a/dst_dashboard/api/datasets.py +++ b/dst_dashboard/api/datasets.py @@ -1,35 +1,20 @@ """Dataset API routes.""" -from typing import List, Dict, Any - -from fastapi import APIRouter, HTTPException, Request, Body -from pydantic import BaseModel +from fastapi import APIRouter, Depends, HTTPException, Request from dst_dashboard.config.data_structures import DatasetConfig, ExperimentConfig from dst_dashboard.storage.db import DSTDatabase from dst_dashboard.api.utils import get_processor +from dst_dashboard.auth import require_admin_token router = APIRouter( prefix="/experiments/{experiment_id}/datasets", tags=["datasets"] ) -class DatasetDataUpdate(BaseModel): - """Model for updating dataset data.""" - data: List[Dict[str, Any]] - - @router.get("") -async def get_experiment_datasets(experiment_id: str, request: Request): - """ - Get all datasets for an experiment with their data. - - Args: - experiment_id: Experiment identifier - - Returns: - List of datasets with their configurations and data - """ +def get_experiment_datasets(experiment_id: str, request: Request): + """Get all datasets for an experiment with their data.""" db = DSTDatabase() # Get experiment from database (source of truth) @@ -66,7 +51,7 @@ async def get_experiment_datasets(experiment_id: str, request: Request): @router.get("/{dataset_name}", response_model=DatasetConfig) -async def get_dataset(experiment_id: str, dataset_name: str, request: Request): +def get_dataset(experiment_id: str, dataset_name: str, request: Request): """Get dataset configuration for an experiment.""" db = DSTDatabase() @@ -86,23 +71,13 @@ async def get_dataset(experiment_id: str, dataset_name: str, request: Request): @router.get("/{dataset_name}/data") -async def get_dataset_data( +def get_dataset_data( experiment_id: str, dataset_name: str, request: Request, refresh: bool = False ): - """ - Get dataset data (with caching support). - - Args: - experiment_id: Experiment identifier - dataset_name: Dataset name - refresh: If True, force re-fetch from datasource even if cached - - Returns: - Dataset data (list of records) - """ + """Get dataset data (with caching support). `refresh=True` forces a re-fetch.""" db = DSTDatabase() # Get experiment from database @@ -149,7 +124,12 @@ async def get_dataset_data( @router.delete("/{dataset_name}", status_code=204) -async def delete_dataset(experiment_id: str, dataset_name: str, request: Request): +def delete_dataset( + experiment_id: str, + dataset_name: str, + request: Request, + _: None = Depends(require_admin_token), +): """Delete a dataset and its data.""" db = DSTDatabase() diff --git a/dst_dashboard/api/datasources.py b/dst_dashboard/api/datasources.py index e82d8aa7..07d8d725 100644 --- a/dst_dashboard/api/datasources.py +++ b/dst_dashboard/api/datasources.py @@ -1,13 +1,13 @@ """Datasource API routes.""" -from typing import List, Optional -from fastapi import APIRouter, HTTPException, Query, Request +from typing import List +from fastapi import APIRouter, HTTPException, Request from dst_dashboard.config.data_structures import DataSourceConfig router = APIRouter(prefix="/datasources", tags=["datasources"]) @router.get("", response_model=List[DataSourceConfig]) -async def list_datasources( +def list_datasources( request: Request, ): """List loaded datasources""" @@ -17,7 +17,7 @@ async def list_datasources( return datasources @router.get("/prometheus", response_model=List[DataSourceConfig]) -async def list_datasources( +def list_prometheus_datasources( request: Request, ): """List prometheus datasources""" @@ -28,7 +28,7 @@ async def list_datasources( return prometheus_datasources @router.get("/victorialogs", response_model=List[DataSourceConfig]) -async def list_datasources( +def list_victorialogs_datasources( request: Request, ): """List victorialogs datasources""" @@ -39,7 +39,7 @@ async def list_datasources( return victorialogs_datasources @router.get("/{datasource_name}", response_model=DataSourceConfig) -async def get_datasource(datasource_name: str, request: Request): +def get_datasource(datasource_name: str, request: Request): """Get a datasource by name from config.""" datasources = getattr(request.app.state, "datasources", None) if datasources is None: diff --git a/dst_dashboard/api/experiments.py b/dst_dashboard/api/experiments.py index 4e296cde..af080216 100644 --- a/dst_dashboard/api/experiments.py +++ b/dst_dashboard/api/experiments.py @@ -1,18 +1,18 @@ from typing import List, Optional, Dict, Any -from fastapi import APIRouter, HTTPException, Query, Request, Body -from pydantic import BaseModel +from bson import ObjectId +from fastapi import APIRouter, Depends, HTTPException, Query, Request from dst_dashboard.config.data_structures import ExperimentConfig from dst_dashboard.storage.db import DSTDatabase -from dst_dashboard.processors.experiment_processor import ExperimentProcessor from dst_dashboard.api.utils import get_processor +from dst_dashboard.auth import require_admin_token router = APIRouter(prefix="/experiments", tags=["experiments"]) @router.get("/families") -async def list_families(request: Request) -> Dict[str, Any]: +def list_families(request: Request) -> Dict[str, Any]: """ Get all experiment families with their experiments. Organized for navigation in the dashboard UI. @@ -63,7 +63,7 @@ async def list_families(request: Request) -> Dict[str, Any]: @router.get("", response_model=List[ExperimentConfig]) -async def list_experiments( +def list_experiments( request: Request, publish: Optional[bool] = Query(None, description="Filter by publish status"), ): @@ -81,7 +81,7 @@ async def list_experiments( @router.get("/{experiment_id}", response_model=ExperimentConfig) -async def get_experiment(experiment_id: str, request: Request): +def get_experiment(experiment_id: str, request: Request): """Get experiment details from database.""" db = DSTDatabase() @@ -95,17 +95,24 @@ async def get_experiment(experiment_id: str, request: Request): @router.post("", response_model=ExperimentConfig, status_code=201) -async def create_experiment(experiment: ExperimentConfig, request: Request): +def create_experiment( + experiment: ExperimentConfig, request: Request, _: None = Depends(require_admin_token) +): """ Create a new experiment and process it (fetch datasets, generate panels). + `id` is always server-assigned - any id in the request body is ignored. """ db = DSTDatabase() - - # Check if experiment already exists - existing = db.get_experiment(experiment.id) - if existing: - raise HTTPException(status_code=409, detail=f"Experiment with ID '{experiment.id}' already exists") - + + # id is never client-supplied - always assign a fresh one + experiment.id = str(ObjectId()) + + # Title must be unique + if db.experiments.find_one({"title": experiment.title}): + raise HTTPException( + status_code=409, detail=f"Experiment with title '{experiment.title}' already exists" + ) + # Store experiment in database db.store_experiment(experiment.model_dump()) @@ -125,24 +132,38 @@ async def create_experiment(experiment: ExperimentConfig, request: Request): @router.put("/{experiment_id}", response_model=ExperimentConfig) -async def update_experiment(experiment_id: str, experiment: ExperimentConfig, request: Request): +def update_experiment( + experiment_id: str, + experiment: ExperimentConfig, + request: Request, + _: None = Depends(require_admin_token), +): """ - Update an existing experiment. + Update an existing experiment. Only reprocesses if configuration changed (datasets, panels, datasources, time ranges). + `id` always comes from the URL path - any id in the request body is ignored. """ db = DSTDatabase() - - # Ensure the ID in the path matches the ID in the body - if experiment.id != experiment_id: - raise HTTPException(status_code=400, detail="Experiment ID in path must match ID in body") - + + # id is never client-supplied - the path is authoritative + experiment.id = experiment_id + # Get existing experiment from DB existing_data = db.get_experiment(experiment_id) if not existing_data: raise HTTPException(status_code=404, detail="Experiment not found") - + existing = ExperimentConfig(**existing_data) - + + # Title must be unique among *other* experiments + title_conflict = db.experiments.find_one( + {"title": experiment.title, "id": {"$ne": experiment_id}} + ) + if title_conflict: + raise HTTPException( + status_code=409, detail=f"Experiment with title '{experiment.title}' already exists" + ) + # Check if reprocessing is needed needs_reprocessing = ( existing.datasets != experiment.datasets or @@ -174,7 +195,9 @@ async def update_experiment(experiment_id: str, experiment: ExperimentConfig, re @router.delete("/{experiment_id}", status_code=204) -async def delete_experiment(experiment_id: str, request: Request): +def delete_experiment( + experiment_id: str, request: Request, _: None = Depends(require_admin_token) +): """Delete an experiment and all its associated data (datasets, panels).""" db = DSTDatabase() diff --git a/dst_dashboard/api/panels.py b/dst_dashboard/api/panels.py index 0664542f..509ae753 100644 --- a/dst_dashboard/api/panels.py +++ b/dst_dashboard/api/panels.py @@ -1,32 +1,24 @@ """Panel API routes.""" import logging -from typing import List, Dict, Any +from typing import Dict, Any -from fastapi import APIRouter, HTTPException, Request, Body +from fastapi import APIRouter, Depends, HTTPException, Request -from dst_dashboard.config.data_structures import PanelConfig, ExperimentConfig +from dst_dashboard.config.data_structures import ExperimentConfig from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.auth import require_admin_token router = APIRouter(prefix="/experiments/{experiment_id}/panels", tags=["panels"]) logger = logging.getLogger(__name__) @router.get("") -async def get_all_panels( +def get_all_panels( experiment_id: str, request: Request ) -> Dict[str, Any]: - """ - Get all panels for an experiment with their rendered visualizations. - Generates ECharts options on-demand from stored datasets and panel configs. - - Args: - experiment_id: Experiment ID - - Returns: - List of panels with ECharts options - """ + """Get all panels for an experiment with their rendered visualizations.""" db = DSTDatabase() # Get experiment from database @@ -71,22 +63,12 @@ async def get_all_panels( @router.get("/by-dataset/{dataset_name}") -async def get_panels_by_dataset( +def get_panels_by_dataset( experiment_id: str, dataset_name: str, request: Request ) -> Dict[str, Any]: - """ - Get all preprocessed panels that use a specific dataset. - Reads from database - panels should already be processed. - - Args: - experiment_id: Experiment ID - dataset_name: Dataset name - - Returns: - List of panels using the specified dataset with ECharts options - """ + """Get all preprocessed panels that use a specific dataset.""" db = DSTDatabase() # Get experiment from database @@ -134,22 +116,12 @@ async def get_panels_by_dataset( @router.get("/{panel_name}") -async def get_panel( +def get_panel( experiment_id: str, panel_name: str, request: Request ) -> Dict[str, Any]: - """ - Get preprocessed panel with rendered ECharts option. - Reads from database - panel should already be processed. - - Args: - experiment_id: Experiment ID - panel_name: Panel name - - Returns: - Panel with ECharts option ready for rendering - """ + """Get a preprocessed panel with its rendered ECharts option.""" db = DSTDatabase() # Get experiment from database @@ -187,7 +159,12 @@ async def get_panel( @router.delete("/{panel_name}", status_code=204) -async def delete_panel(experiment_id: str, panel_name: str, request: Request): +def delete_panel( + experiment_id: str, + panel_name: str, + request: Request, + _: None = Depends(require_admin_token), +): """Delete a panel.""" db = DSTDatabase() diff --git a/dst_dashboard/api/response_models.py b/dst_dashboard/api/response_models.py deleted file mode 100644 index d05f1690..00000000 --- a/dst_dashboard/api/response_models.py +++ /dev/null @@ -1,30 +0,0 @@ -from typing import Any, Dict, List - -from pydantic import BaseModel - - -class ExperimentSummaryResponse(BaseModel): - id: str - title: str - family: str - metadata: Dict[str, Any] - publish: bool - - -class DatasetResponse(BaseModel): - experiment_id: str - dataset_name: str - row_count: int - data: List[Dict[str, Any]] - - -class PanelSummaryResponse(BaseModel): - id: str - experiment_id: str - name: str - - -class PanelDataResponse(BaseModel): - experiment_id: str - panel_name: str - data: Dict[str, Any] \ No newline at end of file diff --git a/dst_dashboard/api/utils.py b/dst_dashboard/api/utils.py index e1f6b1f1..410f17b4 100644 --- a/dst_dashboard/api/utils.py +++ b/dst_dashboard/api/utils.py @@ -1,7 +1,6 @@ """Utility functions for API routes.""" import logging -from concurrent.futures import ThreadPoolExecutor, as_completed from fastapi import HTTPException, Request from dst_dashboard.processors.experiment_processor import ExperimentProcessor @@ -12,10 +11,7 @@ def get_processor(request: Request) -> ExperimentProcessor: - """ - Get experiment processor from app state. - The processor needs config for datasources (DB is source of truth for experiments). - """ + """Build an ExperimentProcessor from app state (DB is source of truth for experiments).""" config = getattr(request.app.state, "config", None) if config is None: raise HTTPException(status_code=500, detail="Config is not initialized") @@ -24,109 +20,9 @@ def get_processor(request: Request) -> ExperimentProcessor: def get_panel_processor(request: Request) -> PanelProcessor: - """ - Get panel processor from app state. - The processor needs config for datasources. - """ + """Build a PanelProcessor from app state.""" config = getattr(request.app.state, "config", None) if config is None: raise HTTPException(status_code=500, detail="Config is not initialized") db = DSTDatabase() return PanelProcessor(config, db) - - -def needs_reprocessing(db: DSTDatabase, experiment) -> bool: - """ - Check if experiment needs reprocessing (missing datasets or panels). - - Args: - db: Database instance - experiment: ExperimentConfig instance - - Returns: - True if reprocessing needed, False otherwise - """ - # Check if all datasets have data - for dataset_config in experiment.datasets: - data = db.get_dataset(experiment.id, dataset_config.name) - if data is None: - return True - - # Check if all panels have been processed - for panel_config in experiment.panels: - panel_data = db.get_panel_data(experiment.id, panel_config.name) - if panel_data is None: - return True - - return False - - -def process_experiments(experiments, db, processor, experiment_ids_tracker=None, max_workers=4): - """ - Process a list of experiments in parallel. - - Args: - experiments: List of ExperimentConfig instances - db: Database instance (used for reference only) - processor: ExperimentProcessor instance (used for config reference) - experiment_ids_tracker: Optional set to track processed experiment IDs - max_workers: Maximum number of parallel workers (default: 4) - - Returns: - Dict with processing statistics - """ - stats = {"processed": 0, "failed": 0, "failed_list": []} - - def process_single_experiment(experiment): - """Process a single experiment and return result. Creates thread-local DB connection.""" - try: - # Create thread-local database and processor instances - # SQLite requires connections to be created in the same thread they're used - thread_db = DSTDatabase() - thread_processor = ExperimentProcessor(processor.config, thread_db) - - # Store experiment in database - thread_db.store_experiment(experiment.model_dump()) - - if experiment_ids_tracker is not None: - experiment_ids_tracker.add(experiment.id) - - # Check if needs reprocessing - if needs_reprocessing(thread_db, experiment): - logger.info(f"Processing '{experiment.id}' (missing data)") - thread_processor.process_experiment(experiment) - else: - logger.info(f"Skipping '{experiment.id}' (data complete)") - - return {"success": True, "id": experiment.id} - - except Exception as e: - logger.error(f"Failed to process '{experiment.title}': {e}", exc_info=True) - return { - "success": False, - "id": experiment.id, - "title": experiment.title, - "error": str(e) - } - - # Process experiments in parallel - with ThreadPoolExecutor(max_workers=max_workers) as executor: - # Submit all tasks - future_to_exp = { - executor.submit(process_single_experiment, exp): exp - for exp in experiments - } - - # Collect results as they complete - for future in as_completed(future_to_exp): - result = future.result() - if result["success"]: - stats["processed"] += 1 - else: - stats["failed"] += 1 - stats["failed_list"].append({ - "title": result["title"], - "error": result["error"] - }) - - return stats diff --git a/dst_dashboard/auth.py b/dst_dashboard/auth.py new file mode 100644 index 00000000..2f5c5098 --- /dev/null +++ b/dst_dashboard/auth.py @@ -0,0 +1,57 @@ +"""JWT issuing and verification for admin (write) API access. +""" + +import logging +import time + +import jwt +from fastapi import Depends, HTTPException +from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer + +from dst_dashboard.config.constants import Constants, INSECURE_DEFAULT_JWT_SECRET + +logger = logging.getLogger(__name__) + +JWT_ALGORITHM = "HS256" +JWT_SCOPE = "admin" + +_bearer_scheme = HTTPBearer(auto_error=False) + +if str(Constants.DST_JWT_SECRET) == INSECURE_DEFAULT_JWT_SECRET: + logger.warning( + "DST_JWT_SECRET is not set - using an insecure development-only default. " + "Set DST_JWT_SECRET before deploying anywhere real." + ) + + +def create_admin_token(expires_days: int = 1) -> str: + """Generate a fresh admin-scope JWT, signed with DST_JWT_SECRET.""" + now = int(time.time()) + payload = { + "scope": JWT_SCOPE, + "iat": now, + "exp": now + expires_days * 86400, + } + return jwt.encode(payload, str(Constants.DST_JWT_SECRET), algorithm=JWT_ALGORITHM) + + +def require_admin_token( + credentials: HTTPAuthorizationCredentials = Depends(_bearer_scheme), +) -> None: + """FastAPI dependency gating mutating routes behind a valid admin-scope JWT.""" + if credentials is None: + raise HTTPException(status_code=401, detail="Missing bearer token") + + try: + payload = jwt.decode( + credentials.credentials, + str(Constants.DST_JWT_SECRET), + algorithms=[JWT_ALGORITHM], + ) + except jwt.ExpiredSignatureError: + raise HTTPException(status_code=401, detail="Token has expired") + except jwt.InvalidTokenError: + raise HTTPException(status_code=401, detail="Invalid token") + + if payload.get("scope") != JWT_SCOPE: + raise HTTPException(status_code=403, detail="Token does not have admin scope") diff --git a/dst_dashboard/config/constants.py b/dst_dashboard/config/constants.py index bdd015d1..3da466ca 100644 --- a/dst_dashboard/config/constants.py +++ b/dst_dashboard/config/constants.py @@ -5,8 +5,12 @@ DEFAULT_CONFIG_PATH = Path.home() / ".cache" / "dst_dashboard" / "config.yaml" -DEFAULT_DB_PATH = Path.home() / ".cache" / "dst_dashboard" DEFAULT_DATA_PATH = Path.home() / ".cache" / "dst_dashboard" / "data" +DEFAULT_MONGO_URI = "mongodb://localhost:27017" +DEFAULT_MONGO_DB_NAME = "dst_dashboard" +# Clearly-marked insecure fallback so it's obvious in logs/code review if a real +# secret was never configured - never rely on this outside local dev. +INSECURE_DEFAULT_JWT_SECRET = "dev-only-insecure-secret-change-me" class Constants(StrEnum): """Constants used in DST dashboard application.""" @@ -15,11 +19,19 @@ class Constants(StrEnum): "DST_CONFIG_PATH", str(DEFAULT_CONFIG_PATH), ) - DST_DB_PATH = os.environ.get( - "DST_DB_PATH", - str(DEFAULT_DB_PATH), - ) DST_DATA_PATH = os.environ.get( "DST_DATA_PATH", str(DEFAULT_DATA_PATH), ) + DST_MONGO_URI = os.environ.get( + "DST_MONGO_URI", + DEFAULT_MONGO_URI, + ) + DST_MONGO_DB_NAME = os.environ.get( + "DST_MONGO_DB_NAME", + DEFAULT_MONGO_DB_NAME, + ) + DST_JWT_SECRET = os.environ.get( + "DST_JWT_SECRET", + INSECURE_DEFAULT_JWT_SECRET, + ) diff --git a/dst_dashboard/config/data_structures.py b/dst_dashboard/config/data_structures.py index 01ebfda6..f6c23915 100644 --- a/dst_dashboard/config/data_structures.py +++ b/dst_dashboard/config/data_structures.py @@ -1,6 +1,6 @@ from datetime import datetime from typing import Any, Dict, List, Literal, Optional -from pydantic import BaseModel, Field +from pydantic import BaseModel class TimeRange(BaseModel): @@ -82,7 +82,7 @@ class PanelConfig(BaseModel): class ExperimentConfig(BaseModel): - id: str + id: Optional[str] = None # Server-assigned on create; ignored if sent by the client title: str family: str description: Optional[str] = None # Experiment description @@ -98,8 +98,7 @@ class ExperimentConfig(BaseModel): class DashboardFullConfig(BaseModel): datasources: List[DataSourceConfig] - experiments: List[ExperimentConfig] - + def WithValidateDatasources(self) -> "DashboardFullConfig": if not self.datasources: raise ValueError("At least one datasource must be defined in the config.") diff --git a/dst_dashboard/k8s/backend.yaml b/dst_dashboard/k8s/backend.yaml index 90cd9c6d..4019d83a 100644 --- a/dst_dashboard/k8s/backend.yaml +++ b/dst_dashboard/k8s/backend.yaml @@ -1,9 +1,4 @@ apiVersion: v1 -kind: Namespace -metadata: - name: dst-dashboard ---- -apiVersion: v1 kind: ConfigMap metadata: name: dst-dashboard-config @@ -16,239 +11,11 @@ data: datasources: - name: victoria-logs type: VictoriaLogs - url: https://vlselect.lab.vac.dev/select/logsql/query - + url: http://vlc-victoria-logs-cluster-vlselect.victorialogs:9471/select/logsql/query + - name: victoria-metrics type: Prometheus - url: https://metrics.lab.vac.dev/select/0/prometheus/api/v1/ - - experiments: - - id: gossipsub-pq-s1-2026-06-12 - title: "GossipSub Priority Queues: Medium Queue Overflow" - family: libp2p/gossipsub - publish: true - description: "Analysis of medium priority queue behavior under high load conditions" - github_repo: "https://github.com/vacp2p/nim-libp2p" - github_pr: "https://github.com/vacp2p/nim-libp2p/pull/1234" - docker_image: "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4" - date: "2026-06-12" - - metadata: - scenario: S1 - namespace: libp2p-lab - date: "2026-06-12" - num_normal_nodes: 1 - num_slow_nodes: 1 - # Stack info for data fetching (from 10ksim metadata.json) - statefulsets: ["nimp2p"] - nodes: [2] - container_name: "pod-0" - - datasets: - - name: message-delays - datasource: victoria-logs - timeRange: - start: "2026-06-12T22:09:00Z" - end: "2026-06-12T22:13:30Z" - query: - namespace: libp2p-lab - tracer: nimlibp2p - pattern: received - schema: - - name: timestamp - type: datetime - - name: pod_name - type: string - - name: delayMs - type: float - - - name: queue-drops - datasource: victoria-metrics - timeRange: - start: "2026-06-12T22:09:00Z" - end: "2026-06-12T22:13:30Z" - query: - expr: increase(libp2p_pubsub_medium_priority_queue_drops_total{namespace="libp2p-lab"}[1m]) - step: 15s - scrapeInterval: 10s - schema: - - name: timestamp - type: datetime - - name: pod - type: string - - name: value - type: float - - panels: - - name: delay-boxplot - title: Message Delivery Delay Distribution - type: boxplot - dataset: message-delays - publish: true - transform: - derive: - - name: pod_group - function: regex_match - field: pod_name - pattern: ".*slow.*" - match: slow - no_match: normal - groupBy: pod_group - value: delayMs - - - name: medium-queue-drops - title: Medium Queue Drops Over Time - type: timeseries - dataset: queue-drops - publish: true - transform: - x: timestamp - y: value - groupBy: pod - top: 10 - style: - yLabel: Drops - yUnit: number - - - id: gossipsub-yamux-s0-2026-07-05 - title: "GossipSub 100 Node Regression Test" - family: libp2p/gossipsub - publish: true - description: "GossipSub performance with 100 nodes using yamux muxer" - github_repo: "https://github.com/vacp2p/nim-libp2p" - docker_image: "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4" - date: "2026-07-05" - - metadata: - scenario: S0 - namespace: libp2p-lab - muxer: yamux - num_normal_nodes: 100 - num_slow_nodes: 0 - total_peers: 10 - connect_to: 6 - gossipsub_d: 6 - statefulsets: ["nimp2p"] - nodes: [100] - container_name: "pod-0" - - datasets: - - name: message-delays - datasource: victoria-logs - timeRange: - start: "2026-07-05T17:47:11Z" - end: "2026-07-05T17:55:00Z" - query: - namespace: libp2p-lab - tracer: nimlibp2p - pattern: received - schema: - - name: timestamp - type: datetime - - name: pod_name - type: string - - name: delayMs - type: float - - - name: bandwidth-usage-dl - datasource: victoria-metrics - timeRange: - start: "2026-07-05T17:47:11Z" - end: "2026-07-05T17:55:00Z" - query: - expr: rate(container_network_transmit_bytes_total{namespace="libp2p-lab"}[1m]) - step: 15s - scrapeInterval: 10s - schema: - - name: timestamp - type: datetime - - name: pod - type: string - - name: value - type: float - - - name: bandwidth-usage-ul - datasource: victoria-metrics - timeRange: - start: "2026-07-05T17:47:11Z" - end: "2026-07-05T17:55:00Z" - query: - expr: rate(container_network_receive_bytes_total{namespace="libp2p-lab"}[1m]) - step: 15s - scrapeInterval: 10s - schema: - - name: timestamp - type: datetime - - name: pod - type: string - - name: value - type: float - - panels: - - name: delay-boxplot-top10 - title: Message Delivery Delay (Top 10 Peers) - type: boxplot - dataset: message-delays - publish: true - transform: - groupBy: pod_name - value: delayMs - top: 10 - - - name: delay-timeseries-top10 - title: Message Delay Over Time (Top 10 Peers) - type: timeseries - dataset: message-delays - publish: true - transform: - x: timestamp - y: delayMs - groupBy: pod_name - top: 10 - style: - yLabel: Delay (ms) - - - name: bandwidth-usage-dl-chart - title: Network Bandwidth Usage DL - type: timeseries - dataset: bandwidth-usage-dl - publish: true - transform: - x: timestamp - y: value - groupBy: pod - top: 10 - style: - yLabel: Download - yUnit: bytes/s - - - name: bandwidth-usage-ul-chart - title: Network Bandwidth Usage UL - type: timeseries - dataset: bandwidth-usage-ul - publish: true - transform: - x: timestamp - y: value - groupBy: pod - top: 10 - style: - yLabel: Upload - yUnit: bytes/s - ---- -apiVersion: v1 -kind: PersistentVolumeClaim -metadata: - name: dst-dashboard-pvc - namespace: dst-dashboard -spec: - accessModes: - - ReadWriteOnce - storageClassName: longhorn-vaclab - resources: - requests: - storage: 20Gi + url: http://vmselect-vmks-victoria-metrics-k8s-stack.vmetrics:8481/select/0/prometheus/api/v1/ --- apiVersion: apps/v1 kind: StatefulSet @@ -266,35 +33,52 @@ spec: labels: app: dst-dashboard-backend spec: + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - metal-01.he-eu-hel1.misc.vacdst + tolerations: + - key: "dedicated" + operator: "Equal" + value: "monitoring" + effect: "PreferNoSchedule" containers: - name: dst-dashboard-backend - image: mamoutoudiarra/dst-dashboard-backend:dev-0.3 + image: mamoutoudiarra/dst-dashboard-backend:v0.5 imagePullPolicy: IfNotPresent ports: - containerPort: 8000 name: http env: - - name: DST_DB_PATH - value: /app/data/dashboard + - name: DST_MONGO_URI + valueFrom: + secretKeyRef: + name: dst-mongo-dev-credentials + key: uri + - name: DST_JWT_SECRET + valueFrom: + secretKeyRef: + name: dst-dashboard-jwt-secret + key: secret - name: DST_CONFIG_PATH value: /app/config/config.yaml volumeMounts: - - name: data - mountPath: /app/data - name: config mountPath: /app/config readOnly: true resources: requests: memory: "4Gi" - cpu: "2" + cpu: "4" limits: memory: "16Gi" - cpu: "4" + cpu: "8" volumes: - - name: data - persistentVolumeClaim: - claimName: dst-dashboard-pvc - name: config configMap: name: dst-dashboard-config @@ -326,10 +110,10 @@ spec: ingressClassName: traefik tls: - hosts: - - api.dev.dashboard.lab.vac.dev + - api.dashboard.lab.vac.dev secretName: dashboard-backend-tls rules: - - host: api.dev.dashboard.lab.vac.dev + - host: api.dashboard.lab.vac.dev http: paths: - path: / @@ -339,3 +123,33 @@ spec: name: dst-dashboard-backend port: number: 8000 +--- +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: dst-dashboard-backend-admin-token-ingress + namespace: dst-dashboard + annotations: + # Same host as the main ingress above, but this path additionally requires + # Authentik SSO via forward-auth before Traefik ever proxies to the app - + # this page is the only way to read a write-scoped API token, so it's + # gated at the infra layer rather than by the app itself. + traefik.ingress.kubernetes.io/router.middlewares: default-redirect-https@kubernetescrd,default-authentik-forwardauth@kubernetescrd + cert-manager.io/cluster-issuer: letsencrypt-prod +spec: + ingressClassName: traefik + tls: + - hosts: + - api.dashboard.lab.vac.dev + secretName: dashboard-backend-tls + rules: + - host: api.dashboard.lab.vac.dev + http: + paths: + - path: /admin/token + pathType: Exact + backend: + service: + name: dst-dashboard-backend + port: + number: 8000 diff --git a/dst_dashboard/k8s/frontend.yaml b/dst_dashboard/k8s/frontend.yaml index 5582dd82..ebf1fdcf 100644 --- a/dst_dashboard/k8s/frontend.yaml +++ b/dst_dashboard/k8s/frontend.yaml @@ -14,9 +14,23 @@ spec: labels: app: dst-dashboard-frontend spec: + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - metal-01.he-eu-hel1.misc.vacdst + tolerations: + - key: "dedicated" + operator: "Equal" + value: "monitoring" + effect: "PreferNoSchedule" containers: - name: frontend - image: mamoutoudiarra/dst-dashboard-frontend:dev-0.3 + image: mamoutoudiarra/dst-dashboard-frontend:v0.5 imagePullPolicy: IfNotPresent ports: - containerPort: 80 @@ -55,10 +69,10 @@ spec: ingressClassName: traefik tls: - hosts: - - dev.dashboard.lab.vac.dev + - dashboard.lab.vac.dev secretName: dashboard-frontend-tls rules: - - host: dev.dashboard.lab.vac.dev + - host: dashboard.lab.vac.dev http: paths: - path: / diff --git a/dst_dashboard/k8s/mongodb-dev.yaml b/dst_dashboard/k8s/mongodb-dev.yaml new file mode 100644 index 00000000..1d83f317 --- /dev/null +++ b/dst_dashboard/k8s/mongodb-dev.yaml @@ -0,0 +1,79 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: dst-mongo-dev-pvc + namespace: dst-dashboard +spec: + accessModes: + - ReadWriteOnce + storageClassName: longhorn-vaclab + resources: + requests: + storage: 40Gi +--- +apiVersion: apps/v1 +kind: StatefulSet +metadata: + name: mongodb-dev + namespace: dst-dashboard +spec: + serviceName: mongodb-dev + replicas: 1 + selector: + matchLabels: + app: mongodb-dev + template: + metadata: + labels: + app: mongodb-dev + spec: + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - metal-01.he-eu-hel1.misc.vacdst + tolerations: + - key: "dedicated" + operator: "Equal" + value: "monitoring" + effect: "PreferNoSchedule" + containers: + - name: mongodb-dev + image: mongo:8 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 27017 + name: mongodb-dev + protocol: TCP + env: + - name: MONGO_INITDB_ROOT_USERNAME + value: "root" + - name: MONGO_INITDB_ROOT_PASSWORD + value: "" #password + volumeMounts: + - name: mongo-data-dev + mountPath: /data/db + volumes: + - name: mongo-data-dev + persistentVolumeClaim: + claimName: dst-mongo-dev-pvc + +--- +apiVersion: v1 +kind: Service +metadata: + name: mongodb-dev + namespace: dst-dashboard +spec: + type: LoadBalancer + selector: + app: mongodb-dev + ports: + - name: mongodb-dev + protocol: TCP + port: 8021 + targetPort: 27017 diff --git a/dst_dashboard/k8s/mongodb-prod.yaml b/dst_dashboard/k8s/mongodb-prod.yaml new file mode 100644 index 00000000..d4d372ae --- /dev/null +++ b/dst_dashboard/k8s/mongodb-prod.yaml @@ -0,0 +1,79 @@ +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: dst-mongo-prod-pvc + namespace: dst-dashboard +spec: + accessModes: + - ReadWriteOnce + storageClassName: longhorn-vaclab + resources: + requests: + storage: 100Gi +--- +apiVersion: apps/v1 +kind: StatefulSet +metadata: + name: mongodb-prod + namespace: dst-dashboard +spec: + serviceName: mongodb-prod + replicas: 1 + selector: + matchLabels: + app: mongodb-prod + template: + metadata: + labels: + app: mongodb-prod + spec: + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: kubernetes.io/hostname + operator: In + values: + - metal-01.he-eu-hel1.misc.vacdst + tolerations: + - key: "dedicated" + operator: "Equal" + value: "monitoring" + effect: "PreferNoSchedule" + containers: + - name: mongodb-prod + image: mongo:8 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 27017 + name: mongodb-prod + protocol: TCP + env: + - name: MONGO_INITDB_ROOT_USERNAME + value: "root" + - name: MONGO_INITDB_ROOT_PASSWORD + value: "" #password + volumeMounts: + - name: mongo-data-prod + mountPath: /data/db + volumes: + - name: mongo-data-prod + persistentVolumeClaim: + claimName: dst-mongo-prod-pvc + +--- +apiVersion: v1 +kind: Service +metadata: + name: mongodb-prod + namespace: dst-dashboard +spec: + type: ClusterIP + selector: + app: mongodb-prod + ports: + - name: mongodb-prod + protocol: TCP + port: 8021 + targetPort: 27017 diff --git a/dst_dashboard/main.py b/dst_dashboard/main.py index f4ac66b0..cabc7bcb 100644 --- a/dst_dashboard/main.py +++ b/dst_dashboard/main.py @@ -4,11 +4,8 @@ import logging from dst_dashboard.api import admin, datasets, datasources, experiments, panels -from dst_dashboard.api.utils import process_experiments from dst_dashboard.config.utils import LoadConfig -from dst_dashboard.config.data_structures import ExperimentConfig from dst_dashboard.storage.db import DSTDatabase -from dst_dashboard.processors.experiment_processor import ExperimentProcessor logging.basicConfig( level=logging.DEBUG, @@ -31,77 +28,26 @@ def on_startup(): """ Initialize application on startup. - - Workflow: - 1. Load config.yaml (datasources + experiments) - 2. Store datasources in database - 3. Process config.yaml experiments (config takes precedence, overwrites DB) - 4. Process DB-only experiments (not in config.yaml) - 5. Only reprocess experiments missing data (datasets or panels) + + Experiments are managed exclusively through the API and live only in the + database - config.yaml only defines datasources, so startup just loads + and stores those. No experiment processing happens at boot. """ try: logger.info("Starting DST Dashboard initialization...") - + config = LoadConfig().WithValidateDatasources() - logger.info( - f"Loaded {len(config.datasources)} datasources and " - f"{len(config.experiments)} experiments from config.yaml" - ) - + logger.info(f"Loaded {len(config.datasources)} datasources from config.yaml") + app.state.config = config app.state.datasources = config.datasources - + db = DSTDatabase() db.insert_datasource_list(config.datasources) logger.info(f"Stored {len(config.datasources)} datasources") - - processor = ExperimentProcessor(config, db) - - # Phase 1: Process config.yaml experiments - logger.info("Phase 1: Processing experiments from config.yaml...") - config_ids = set() - phase1_stats = process_experiments( - experiments=config.experiments, - db=db, - processor=processor, - experiment_ids_tracker=config_ids, - max_workers=1 # Sequential - SQLite has issues with parallel experiment creation - ) - logger.info( - f"Phase 1 completed: {phase1_stats['processed']} processed, " - f"{phase1_stats['failed']} failed" - ) - - # Phase 2: Process DB-only experiments - logger.info("Phase 2: Processing DB-only experiments...") - db_experiments = [ - ExperimentConfig(**exp_data) - for exp_data in db.list_experiments() - if exp_data.get("id") not in config_ids - ] - phase2_stats = process_experiments( - experiments=db_experiments, - db=db, - processor=processor - ) - logger.info( - f"Phase 2 completed: {phase2_stats['processed']} processed, " - f"{phase2_stats['failed']} failed" - ) - - # Summary - total_processed = phase1_stats['processed'] + phase2_stats['processed'] - total_failed = phase1_stats['failed'] + phase2_stats['failed'] - logger.info( - f"Initialization completed: {total_processed} experiments processed, " - f"{total_failed} failed" - ) - - if phase1_stats['failed_list']: - logger.warning( - f"Failed experiments: {[e['title'] for e in phase1_stats['failed_list']]}" - ) - + + logger.info("DST Dashboard initialization completed") + except Exception as e: logger.error(f"Failed to initialize DST Dashboard: {e}", exc_info=True) sys.exit(1) @@ -125,7 +71,7 @@ def on_startup(): @app.get("/") -async def root(): +def root(): return { "service": "DST Dashboard API", "version": "0.1.0", diff --git a/dst_dashboard/processors/dataset_processor.py b/dst_dashboard/processors/dataset_processor.py index 9e9f9d62..c88f0d9c 100644 --- a/dst_dashboard/processors/dataset_processor.py +++ b/dst_dashboard/processors/dataset_processor.py @@ -1,13 +1,14 @@ """Dataset processor - base class for fetching and processing datasets.""" import logging +import threading from typing import Dict, List, Any, Optional import pandas as pd from result import Ok, Err from dst_dashboard.config.data_structures import ( - DatasetConfig, - DataSourceConfig, + DatasetConfig, + DataSourceConfig, ExperimentConfig, DashboardFullConfig ) @@ -18,6 +19,39 @@ logger = logging.getLogger(__name__) +_victorialogs_log_init_lock = threading.Lock() +_victorialogs_log_initialized = False + + +def _ensure_victorialogs_logging_initialized(): + """One-time (per-process) init of the log queue DataPuller's worker processes attach to. + + log_utils.apply_config() mutates global logging state (clears every + logger's handlers, restarts a QueueListener), so it must only ever run + once - concurrent dataset fetches (now run via a thread pool) would + otherwise race on that global state. + """ + global _victorialogs_log_initialized + if _victorialogs_log_initialized: + return + with _victorialogs_log_init_lock: + if _victorialogs_log_initialized: + return + from src.analysis.utils.log_utils import apply_config, Config + try: + config = Config( + logger_name="data_puller", + level=logging.INFO, + fmt="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + handlers=[], + tz_offset_hours=0, + ) + apply_config(config) + logger.debug("Log queue initialized for DataPuller") + except Exception as e: + logger.debug(f"Log queue initialization skipped: {e}") + _victorialogs_log_initialized = True + class DatasetProcessor: """ @@ -28,13 +62,6 @@ class DatasetProcessor: """ def __init__(self, config: DashboardFullConfig, db: DSTDatabase): - """ - Initialize dataset processor. - - Args: - config: Dashboard configuration - db: Database instance - """ self.config = config self.db = db self._datasources = {ds.name: ds for ds in config.datasources} @@ -44,23 +71,14 @@ def _get_datasource(self, datasource_name: str) -> Optional[DataSourceConfig]: return self._datasources.get(datasource_name) def _get_experiment(self, experiment_id: str) -> Optional[ExperimentConfig]: - """Get experiment configuration by ID.""" - for exp in self.config.experiments: - if exp.id == experiment_id: - return exp - return None + """Get experiment configuration by ID. Experiments live only in the database.""" + experiment_data = self.db.get_experiment(experiment_id) + if experiment_data is None: + return None + return ExperimentConfig(**experiment_data) def _apply_schema(self, data_rows: List[Dict[str, Any]], dataset_config: DatasetConfig) -> List[Dict[str, Any]]: - """ - Apply schema to data rows - filter fields and apply type conversions. - - Args: - data_rows: Raw data rows - dataset_config: Dataset configuration with schema - - Returns: - Data rows with only schema fields and proper types - """ + """Apply schema to data rows - filter fields and apply type conversions.""" if not dataset_config.schema: return data_rows @@ -100,20 +118,7 @@ def _apply_schema(self, data_rows: List[Dict[str, Any]], dataset_config: Dataset def fetch_dataset( self, experiment_id: str, dataset_config: DatasetConfig ) -> List[Dict[str, Any]]: - """ - Fetch dataset using appropriate fetcher based on datasource type. - - Args: - experiment_id: Experiment identifier - dataset_config: Dataset configuration from config - - Returns: - List of data rows as dictionaries - - Raises: - ValueError: If datasource not found or type unsupported - Exception: If data fetching fails - """ + """Fetch dataset using the appropriate fetcher based on datasource type.""" datasource = self._get_datasource(dataset_config.datasource) if not datasource: raise ValueError( @@ -138,15 +143,7 @@ def fetch_dataset( raise def _get_tracer_for_dataset(self, dataset_config: DatasetConfig): - """ - Create appropriate tracer based on dataset configuration. - - Args: - dataset_config: Dataset configuration - - Returns: - Configured tracer instance - """ + """Create the appropriate tracer based on dataset configuration.""" tracer_type = dataset_config.query.tracer pattern = dataset_config.query.pattern @@ -221,21 +218,7 @@ def _fetch_from_victorialogs( # Get tracer based on configuration tracer = self._get_tracer_for_dataset(dataset_config) - # Initialize logging queue for DataPuller - from src.analysis.utils.log_utils import apply_config, Config - try: - # Set up minimal config to initialize the log queue - config = Config( - logger_name="data_puller", - level=logging.INFO, - fmt="%(asctime)s - %(name)s - %(levelname)s - %(message)s", - handlers=[], - tz_offset_hours=0, - ) - apply_config(config) - logger.debug("Log queue initialized for DataPuller") - except Exception as e: - logger.debug(f"Log queue initialization skipped: {e}") + _ensure_victorialogs_logging_initialized() # Initialize DataPuller data_puller = DataPuller().with_kwargs(kwargs).with_source_type("victoria") diff --git a/dst_dashboard/processors/experiment_processor.py b/dst_dashboard/processors/experiment_processor.py index 4c962d91..605ebb9d 100644 --- a/dst_dashboard/processors/experiment_processor.py +++ b/dst_dashboard/processors/experiment_processor.py @@ -1,7 +1,8 @@ """Experiment processor - processes complete experiments with datasets and panels.""" import logging -import uuid -from typing import Dict, List, Any, Optional +from concurrent.futures import ThreadPoolExecutor, as_completed + +from bson import ObjectId from dst_dashboard.config.data_structures import ( ExperimentConfig, @@ -20,29 +21,13 @@ class ExperimentProcessor(PanelProcessor): """ def __init__(self, config: DashboardFullConfig, db: DSTDatabase): - """ - Initialize experiment processor. - - Args: - config: Dashboard configuration - db: Database instance - """ super().__init__(config, db) def _ensure_experiment_id(self, experiment: ExperimentConfig) -> str: - """ - Ensure experiment has a valid ID, generate UUID if missing. - - Args: - experiment: Experiment configuration - - Returns: - Experiment ID (existing or newly generated) - """ + """Ensure experiment has a valid ID, generating one (Mongo ObjectId-style) if missing.""" if not experiment.id or experiment.id.strip() == "": - # Generate UUID for experiment - generated_id = str(uuid.uuid4()) - logger.info(f"Generated UUID for experiment '{experiment.title}': {generated_id}") + generated_id = str(ObjectId()) + logger.info(f"Generated ID for experiment '{experiment.title}': {generated_id}") experiment.id = generated_id return experiment.id @@ -52,25 +37,11 @@ def process_dataset( experiment_id: str, dataset_config: DatasetConfig ) -> bool: - """ - Process a single dataset - fetch and store if needed. - - Args: - experiment_id: Experiment ID - dataset_config: Dataset configuration - - Returns: - True if successful, False otherwise - """ + """Process a single dataset - fetch and store if needed. Returns True on success.""" logger.info(f"Processing dataset: {dataset_config.name}") - - # Check if dataset already exists + existing_data = self.db.get_dataset(experiment_id, dataset_config.name) - - # Determine if we need to fetch data - should_fetch = existing_data is None - - if not should_fetch: + if existing_data is not None: logger.info( f"Dataset '{dataset_config.name}' already exists with {len(existing_data)} rows, skipping fetch" ) @@ -98,42 +69,40 @@ def process_dataset( return False def process_experiment_datasets( - self, + self, experiment: ExperimentConfig, - max_workers: int = 1 # Sequential to avoid SQLite threading issues + max_workers: int = 4 ) -> int: - """ - Process all datasets for an experiment sequentially. - - Args: - experiment: Experiment configuration - max_workers: Number of workers (always 1 for sequential processing) - - Returns: - Number of successfully processed datasets - """ + """Process all datasets for an experiment concurrently (fetches are I/O-bound). Returns the number processed successfully.""" if not experiment.datasets: return 0 - - # Process datasets sequentially to avoid SQLite threading issues + + if len(experiment.datasets) == 1 or max_workers <= 1: + return sum( + self.process_dataset(experiment.id, dataset_config) + for dataset_config in experiment.datasets + ) + success_count = 0 - for dataset_config in experiment.datasets: - if self.process_dataset(experiment.id, dataset_config): - success_count += 1 - + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = { + executor.submit(self.process_dataset, experiment.id, dataset_config): dataset_config + for dataset_config in experiment.datasets + } + for future in as_completed(futures): + dataset_config = futures[future] + try: + if future.result(): + success_count += 1 + except Exception: + logger.error( + f"Dataset '{dataset_config.name}' processing raised unexpectedly", exc_info=True + ) + return success_count def process_experiment(self, experiment: ExperimentConfig) -> str: - """ - Process a complete experiment - store experiment, fetch datasets, store panels. - - Args: - experiment: Experiment configuration - - Returns: - Experiment ID - """ - # Ensure experiment has an ID (generate UUID if missing) + """Process a complete experiment - store it, fetch datasets, store panels. Returns the experiment ID.""" experiment_id = self._ensure_experiment_id(experiment) logger.info(f"Processing experiment: {experiment_id} - {experiment.title}") @@ -158,29 +127,3 @@ def process_experiment(self, experiment: ExperimentConfig) -> str: logger.info(f"Processed {panel_count}/{len(experiment.panels)} panels for experiment '{experiment_id}'") return experiment_id - - def process_all_experiments(self) -> Dict[str, Any]: - """ - Process all experiments from configuration. - - Returns: - Summary dictionary with processing results - """ - results = { - "total_experiments": len(self.config.experiments), - "processed_experiments": [], - "failed_experiments": [] - } - - for experiment in self.config.experiments: - try: - experiment_id = self.process_experiment(experiment) - results["processed_experiments"].append(experiment_id) - except Exception as e: - logger.error(f"Failed to process experiment '{experiment.title}': {e}", exc_info=True) - results["failed_experiments"].append({ - "title": experiment.title, - "error": str(e) - }) - - return results diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py index 0d3bda6a..3f41e1be 100644 --- a/dst_dashboard/processors/panel_processor.py +++ b/dst_dashboard/processors/panel_processor.py @@ -1,7 +1,8 @@ """Panel processor - processes panel configurations and transformations.""" import logging import re -from typing import Dict, List, Any, Optional +from concurrent.futures import ThreadPoolExecutor, as_completed +from typing import Dict, List, Any from collections import defaultdict from copy import deepcopy @@ -17,16 +18,7 @@ def deep_merge(base: Dict, override: Dict) -> Dict: - """ - Deep merge two dictionaries. Override values take precedence. - - Args: - base: Base dictionary - override: Dictionary with override values - - Returns: - Merged dictionary - """ + """Deep merge two dictionaries. Override values take precedence.""" result = deepcopy(base) for key, value in override.items(): @@ -47,30 +39,14 @@ class PanelProcessor(DatasetProcessor): """ def __init__(self, config: DashboardFullConfig, db: DSTDatabase): - """ - Initialize panel processor. - - Args: - config: Dashboard configuration - db: Database instance - """ super().__init__(config, db) def process_panel( - self, - experiment_id: str, + self, + experiment_id: str, panel_config: PanelConfig ) -> bool: - """ - Process and store panel ECharts options. - - Args: - experiment_id: Experiment ID - panel_config: Panel configuration - - Returns: - True if successful, False otherwise - """ + """Process and store panel ECharts options. Returns True on success.""" logger.info(f"Processing panel: {panel_config.name}") # Verify that the dataset for this panel exists @@ -91,42 +67,40 @@ def process_panel( return False def process_experiment_panels( - self, + self, experiment: ExperimentConfig, - max_workers: int = 1 # Sequential to avoid memory issues + max_workers: int = 4 ) -> int: - """ - Process all panels for an experiment. - - Args: - experiment: Experiment configuration - max_workers: Number of workers (default: 1 for sequential) - - Returns: - Number of successfully processed panels - """ + """Process all panels for an experiment concurrently. Returns the number processed successfully.""" if not experiment.panels: return 0 - - # Process sequentially to avoid memory issues with large datasets + + if len(experiment.panels) == 1 or max_workers <= 1: + return sum( + self.process_panel(experiment.id, panel_config) + for panel_config in experiment.panels + ) + success_count = 0 - for panel_config in experiment.panels: - if self.process_panel(experiment.id, panel_config): - success_count += 1 - + with ThreadPoolExecutor(max_workers=max_workers) as executor: + futures = { + executor.submit(self.process_panel, experiment.id, panel_config): panel_config + for panel_config in experiment.panels + } + for future in as_completed(futures): + panel_config = futures[future] + try: + if future.result(): + success_count += 1 + except Exception: + logger.error( + f"Panel '{panel_config.name}' processing raised unexpectedly", exc_info=True + ) + return success_count def _apply_derive_transformations(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> List[Dict[str, Any]]: - """ - Apply derive transformations to create new fields. - - Args: - data: Input data rows - panel_config: Panel configuration - - Returns: - Data with derived fields added - """ + """Apply derive transformations to create new fields.""" if not panel_config.transform or not panel_config.transform.derive: return data @@ -150,16 +124,7 @@ def _apply_derive_transformations(self, data: List[Dict[str, Any]], panel_config return result def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> Dict[str, Any]: - """ - Transform data for ECharts boxplot visualization. - - Args: - data: Input data rows - panel_config: Panel configuration with groupBy and value fields - - Returns: - ECharts boxplot option spec - """ + """Transform data for ECharts boxplot visualization.""" transform = panel_config.transform group_by = transform.groupBy value_field = transform.value @@ -300,16 +265,7 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC return option def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> Dict[str, Any]: - """ - Transform data for ECharts timeseries (line chart) visualization. - - Args: - data: Input data rows - panel_config: Panel configuration with x and y fields - - Returns: - ECharts line chart option spec - """ + """Transform data for ECharts timeseries (line chart) visualization.""" transform = panel_config.transform x_field = transform.x y_field = transform.y @@ -386,9 +342,7 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan } } }) - - x_axis_data = None # Using data pairs, no separate x-axis data needed - + else: # Single series x_values = [] @@ -404,7 +358,6 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan x_values.append(x_val_serialized) y_values.append(float(y_val)) - x_axis_data = x_values series = [{ "name": panel_config.title, "type": "line", @@ -588,18 +541,7 @@ def transform_panel_data( panel_config: PanelConfig, viz_format: str = "echarts" ) -> Dict[str, Any]: - """ - Transform dataset for panel visualization. - - Args: - experiment_id: Experiment ID - panel_config: Panel configuration - viz_format: Visualization format (echarts, plotly, etc.) - - Returns: - Visualization option specification in the requested format - """ - # Get dataset + """Transform dataset for panel visualization into the requested viz_format.""" dataset = self.db.get_dataset(experiment_id, panel_config.dataset) if not dataset: raise ValueError(f"Dataset '{panel_config.dataset}' not found") @@ -621,17 +563,7 @@ def _transform_to_echarts( data: List[Dict[str, Any]], panel_config: PanelConfig ) -> Dict[str, Any]: - """ - Transform data to ECharts format based on panel type. - - Args: - data: Transformed data rows - panel_config: Panel configuration - - Returns: - ECharts option specification - """ - # Transform based on panel type + """Transform data to ECharts format based on panel type.""" if panel_config.type == "boxplot": return self._transform_to_boxplot(data, panel_config) elif panel_config.type == "timeseries": @@ -651,12 +583,4 @@ def _transform_to_echarts( } else: raise ValueError(f"Unknown panel type: {panel_config.type}") - - def transform(self, df, panel_config): - """Transform DataFrame for visualization. - - DEPRECATED: Use transform_panel_data instead - """ - logger.warning(f"transform deprecated, use transform_panel_data: {panel_config.name}") - return {} diff --git a/dst_dashboard/processors/tests/__init__.py b/dst_dashboard/processors/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/dst_dashboard/processors/tests/test_panel_processor.py b/dst_dashboard/processors/tests/test_panel_processor.py new file mode 100644 index 00000000..00d72a45 --- /dev/null +++ b/dst_dashboard/processors/tests/test_panel_processor.py @@ -0,0 +1,723 @@ +from unittest.mock import MagicMock + +import pytest + +from dst_dashboard.config.data_structures import ( + DashboardFullConfig, + DeriveField, + ExperimentConfig, + PanelConfig, + PanelStyle, + PanelTransform, +) +from dst_dashboard.processors.panel_processor import PanelProcessor, deep_merge + +# --------------------------------------------------------------------------- # +# Helper Functions +# --------------------------------------------------------------------------- # + + +def _make_processor(db=None) -> PanelProcessor: + """Create a PanelProcessor with a minimal real config and a fake db.""" + config = DashboardFullConfig(datasources=[]) + return PanelProcessor(config, db if db is not None else MagicMock()) + + +def _create_panel_config( + name: str = "test-panel", + title: str = "Test Panel", + panel_type: str = "boxplot", + dataset: str = "test-dataset", + transform: PanelTransform = None, + style: PanelStyle = None, + echarts_options: dict = None, + publish: bool = True, +) -> PanelConfig: + """Create a real PanelConfig object for testing.""" + return PanelConfig( + name=name, + title=title, + type=panel_type, + dataset=dataset, + transform=transform if transform is not None else PanelTransform(), + style=style, + echarts_options=echarts_options, + publish=publish, + ) + + +def _create_experiment_config( + experiment_id: str = "exp-1", + panels: list = None, +) -> ExperimentConfig: + """Create a real ExperimentConfig object for testing.""" + return ExperimentConfig( + id=experiment_id, + title="Test Experiment", + family="test/family", + metadata={}, + datasets=[], + panels=panels or [], + publish=True, + ) + + +# --------------------------------------------------------------------------- # +# deep_merge Tests +# --------------------------------------------------------------------------- # +class TestDeepMerge: + """Tests for the deep_merge function.""" + + def test_merge_disjoint_keys_combines_both(self): + """Should include keys from both dictionaries when they don't overlap.""" + base = {"a": 1} + override = {"b": 2} + + assert deep_merge(base, override) == {"a": 1, "b": 2} + + def test_merge_overlapping_scalar_keys_prefers_override(self): + """Should let override values win for non-dict keys present in both.""" + base = {"a": 1, "b": 2} + override = {"b": 99} + + assert deep_merge(base, override) == {"a": 1, "b": 99} + + def test_merge_nested_dicts_recursively(self): + """Should recursively merge nested dictionaries instead of replacing them wholesale.""" + base = {"grid": {"left": "10%", "right": "10%"}} + override = {"grid": {"right": "5%"}} + + assert deep_merge(base, override) == {"grid": {"left": "10%", "right": "5%"}} + + def test_merge_does_not_mutate_inputs(self): + """Should leave the original base and override dictionaries untouched.""" + base = {"a": {"x": 1}} + override = {"a": {"y": 2}} + + deep_merge(base, override) + + assert base == {"a": {"x": 1}} + assert override == {"a": {"y": 2}} + + +# --------------------------------------------------------------------------- # +# PanelProcessor.process_panel Tests +# --------------------------------------------------------------------------- # +class TestProcessPanel: + """Tests for PanelProcessor.process_panel.""" + + def test_missing_dataset_returns_false_without_processing(self): + """Should skip processing and return False when the panel's dataset doesn't exist.""" + db = MagicMock() + db.dataset_exists.return_value = False + processor = _make_processor(db) + panel_config = _create_panel_config(dataset="missing-dataset") + + result = processor.process_panel("exp-1", panel_config) + + assert result is False + db.store_panel_data.assert_not_called() + + def test_successful_transform_stores_option_and_returns_true(self, mocker): + """Should store the transformed ECharts option and return True on success.""" + db = MagicMock() + db.dataset_exists.return_value = True + processor = _make_processor(db) + panel_config = _create_panel_config(name="my-panel") + echarts_option = {"title": {"text": "My Panel"}} + mocker.patch.object(processor, "transform_panel_data", return_value=echarts_option) + + result = processor.process_panel("exp-1", panel_config) + + assert result is True + db.store_panel_data.assert_called_once_with("exp-1", "my-panel", echarts_option) + + def test_transform_exception_is_caught_and_returns_false(self, mocker): + """Should catch exceptions from the transform step and return False instead of raising.""" + db = MagicMock() + db.dataset_exists.return_value = True + processor = _make_processor(db) + panel_config = _create_panel_config() + mocker.patch.object(processor, "transform_panel_data", side_effect=ValueError("boom")) + + result = processor.process_panel("exp-1", panel_config) + + assert result is False + db.store_panel_data.assert_not_called() + + +# --------------------------------------------------------------------------- # +# PanelProcessor.process_experiment_panels Tests +# --------------------------------------------------------------------------- # +class TestProcessExperimentPanels: + """Tests for PanelProcessor.process_experiment_panels.""" + + def test_no_panels_returns_zero(self): + """Should return 0 immediately when the experiment has no panels.""" + processor = _make_processor() + experiment = _create_experiment_config(panels=[]) + + assert processor.process_experiment_panels(experiment) == 0 + + def test_single_panel_processed_sequentially(self, mocker): + """Should process a lone panel directly without spinning up a thread pool.""" + processor = _make_processor() + panel = _create_panel_config(name="only-panel") + experiment = _create_experiment_config(panels=[panel]) + mock_process_panel = mocker.patch.object(processor, "process_panel", return_value=True) + + result = processor.process_experiment_panels(experiment) + + assert result == 1 + mock_process_panel.assert_called_once_with(experiment.id, panel) + + def test_max_workers_one_processes_sequentially(self, mocker): + """Should fall back to sequential processing when max_workers is 1.""" + processor = _make_processor() + panels = [_create_panel_config(name="p1"), _create_panel_config(name="p2")] + experiment = _create_experiment_config(panels=panels) + mocker.patch.object(processor, "process_panel", return_value=True) + + result = processor.process_experiment_panels(experiment, max_workers=1) + + assert result == 2 + + def test_multiple_panels_all_succeed_counts_all(self, mocker): + """Should process all panels concurrently and count every success.""" + processor = _make_processor() + panels = [_create_panel_config(name=f"p{i}") for i in range(4)] + experiment = _create_experiment_config(panels=panels) + mocker.patch.object(processor, "process_panel", return_value=True) + + result = processor.process_experiment_panels(experiment, max_workers=4) + + assert result == 4 + + def test_multiple_panels_mixed_results_counts_only_successes(self, mocker): + """Should only count panels that return True, not failed ones.""" + processor = _make_processor() + panels = [_create_panel_config(name=f"p{i}") for i in range(3)] + experiment = _create_experiment_config(panels=panels) + results_by_name = {"p0": True, "p1": False, "p2": True} + mocker.patch.object( + processor, + "process_panel", + side_effect=lambda panel_config: results_by_name[panel_config.name], + ) + + result = processor.process_experiment_panels(experiment, max_workers=4) + + assert result == 2 + + def test_panel_raising_unexpectedly_does_not_stop_others(self, mocker): + """Should skip a panel whose processing raises without losing the other results.""" + processor = _make_processor() + panels = [_create_panel_config(name="ok-panel"), _create_panel_config(name="bad-panel")] + experiment = _create_experiment_config(panels=panels) + + def fake_process_panel(experiment_id, panel_config): + if panel_config.name == "bad-panel": + raise RuntimeError("unexpected failure") + return True + + mocker.patch.object(processor, "process_panel", side_effect=fake_process_panel) + + result = processor.process_experiment_panels(experiment, max_workers=4) + + assert result == 1 + + +# --------------------------------------------------------------------------- # +# PanelProcessor._apply_derive_transformations Tests +# --------------------------------------------------------------------------- # +class TestApplyDeriveTransformations: + """Tests for PanelProcessor._apply_derive_transformations.""" + + def test_no_derive_rules_returns_data_unchanged(self): + """Should return the data unchanged when the panel's transform has no derive rules.""" + processor = _make_processor() + panel_config = _create_panel_config(transform=PanelTransform()) + data = [{"pod_name": "node-1"}] + + result = processor._apply_derive_transformations(data, panel_config) + + assert result == data + + def test_regex_match_assigns_match_value(self): + """Should assign the 'match' value when the regex pattern matches the field.""" + processor = _make_processor() + derive = DeriveField( + name="pod_group", + function="regex_match", + field="pod_name", + pattern=".*slow.*", + match="slow", + no_match="normal", + ) + panel_config = _create_panel_config(transform=PanelTransform(derive=[derive])) + data = [{"pod_name": "nimp2p-slow-1"}] + + result = processor._apply_derive_transformations(data, panel_config) + + assert result == [{"pod_name": "nimp2p-slow-1", "pod_group": "slow"}] + + def test_regex_no_match_assigns_no_match_value(self): + """Should assign the 'no_match' value when the regex pattern doesn't match the field.""" + processor = _make_processor() + derive = DeriveField( + name="pod_group", + function="regex_match", + field="pod_name", + pattern=".*slow.*", + match="slow", + no_match="normal", + ) + panel_config = _create_panel_config(transform=PanelTransform(derive=[derive])) + data = [{"pod_name": "nimp2p-fast-1"}] + + result = processor._apply_derive_transformations(data, panel_config) + + assert result == [{"pod_name": "nimp2p-fast-1", "pod_group": "normal"}] + + def test_unknown_derive_function_leaves_row_without_new_field(self): + """Should leave the row without the derived field when the derive function is unknown.""" + processor = _make_processor() + derive = DeriveField(name="foo", function="unsupported_function", field="pod_name") + panel_config = _create_panel_config(transform=PanelTransform(derive=[derive])) + data = [{"pod_name": "node-1"}] + + result = processor._apply_derive_transformations(data, panel_config) + + assert result == [{"pod_name": "node-1"}] + + def test_original_data_rows_are_not_mutated(self): + """Should return new row dicts instead of mutating the original input rows.""" + processor = _make_processor() + derive = DeriveField( + name="pod_group", + function="regex_match", + field="pod_name", + pattern=".*slow.*", + match="slow", + no_match="normal", + ) + panel_config = _create_panel_config(transform=PanelTransform(derive=[derive])) + original_row = {"pod_name": "nimp2p-slow-1"} + data = [original_row] + + processor._apply_derive_transformations(data, panel_config) + + assert original_row == {"pod_name": "nimp2p-slow-1"} + + +# --------------------------------------------------------------------------- # +# PanelProcessor._transform_to_boxplot Tests +# --------------------------------------------------------------------------- # +class TestTransformToBoxplot: + """Tests for PanelProcessor._transform_to_boxplot.""" + + def test_missing_groupby_raises_value_error(self): + """Should raise ValueError when 'groupBy' is missing from the transform.""" + processor = _make_processor() + panel_config = _create_panel_config(transform=PanelTransform(value="delayMs")) + + with pytest.raises(ValueError, match="requires 'groupBy' and 'value'"): + processor._transform_to_boxplot([], panel_config) + + def test_missing_value_raises_value_error(self): + """Should raise ValueError when 'value' is missing from the transform.""" + processor = _make_processor() + panel_config = _create_panel_config(transform=PanelTransform(groupBy="pod_name")) + + with pytest.raises(ValueError, match="requires 'groupBy' and 'value'"): + processor._transform_to_boxplot([], panel_config) + + def test_computes_boxplot_stats_per_group_sorted_by_category(self): + """Should compute [min, Q1, median, Q3, max] per group, sorted by category name.""" + processor = _make_processor() + panel_config = _create_panel_config( + transform=PanelTransform(groupBy="pod_name", value="delayMs") + ) + data = [ + {"pod_name": "b", "delayMs": 10}, + {"pod_name": "a", "delayMs": 1}, + {"pod_name": "a", "delayMs": 2}, + {"pod_name": "a", "delayMs": 3}, + ] + + option = processor._transform_to_boxplot(data, panel_config) + + assert option["xAxis"]["data"] == ["a", "b"] + series_data = option["series"][0]["data"] + assert series_data[0] == [1.0, 1.0, 2.0, 3.0, 3.0] + assert series_data[1] == [10.0, 10.0, 10.0, 10.0, 10.0] + + def test_top_filter_keeps_highest_average_groups(self): + """Should keep only the top-N groups by average value when 'top' is set.""" + processor = _make_processor() + panel_config = _create_panel_config( + transform=PanelTransform(groupBy="pod_name", value="delayMs", top=1) + ) + data = [ + {"pod_name": "low", "delayMs": 1}, + {"pod_name": "high", "delayMs": 100}, + ] + + option = processor._transform_to_boxplot(data, panel_config) + + assert option["xAxis"]["data"] == ["high"] + + def test_style_options_are_applied_to_axes(self): + """Should apply xLabel/yLabel/yMin/yMax from panel style onto the axes.""" + processor = _make_processor() + style = PanelStyle(xLabel="Pod", yLabel="Delay (ms)", yMin=0, yMax=100) + panel_config = _create_panel_config( + transform=PanelTransform(groupBy="pod_name", value="delayMs"), style=style + ) + data = [{"pod_name": "a", "delayMs": 1}] + + option = processor._transform_to_boxplot(data, panel_config) + + assert option["xAxis"]["name"] == "Pod" + assert option["yAxis"]["name"] == "Delay (ms)" + assert option["yAxis"]["min"] == 0 + assert option["yAxis"]["max"] == 100 + + def test_echarts_options_override_is_deep_merged(self): + """Should deep-merge user-provided echarts_options into the generated option.""" + processor = _make_processor() + panel_config = _create_panel_config( + transform=PanelTransform(groupBy="pod_name", value="delayMs"), + echarts_options={"grid": {"left": "5%"}}, + ) + data = [{"pod_name": "a", "delayMs": 1}] + + option = processor._transform_to_boxplot(data, panel_config) + + assert option["grid"]["left"] == "5%" + assert option["grid"]["right"] == "10%" # untouched default preserved + + def test_rows_missing_the_value_field_are_ignored(self): + """Should skip rows where the value field is missing/None instead of raising.""" + processor = _make_processor() + panel_config = _create_panel_config( + transform=PanelTransform(groupBy="pod_name", value="delayMs") + ) + data = [{"pod_name": "a", "delayMs": 5}, {"pod_name": "a"}] + + option = processor._transform_to_boxplot(data, panel_config) + + assert option["series"][0]["data"] == [[5.0, 5.0, 5.0, 5.0, 5.0]] + + +# --------------------------------------------------------------------------- # +# PanelProcessor._transform_to_timeseries Tests +# --------------------------------------------------------------------------- # +class TestTransformToTimeseries: + """Tests for PanelProcessor._transform_to_timeseries.""" + + def test_missing_x_raises_value_error(self): + """Should raise ValueError when 'x' is missing from the transform.""" + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", transform=PanelTransform(y="value") + ) + + with pytest.raises(ValueError, match="requires 'x' and 'y'"): + processor._transform_to_timeseries([], panel_config) + + def test_missing_y_raises_value_error(self): + """Should raise ValueError when 'y' is missing from the transform.""" + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", transform=PanelTransform(x="timestamp") + ) + + with pytest.raises(ValueError, match="requires 'x' and 'y'"): + processor._transform_to_timeseries([], panel_config) + + def test_grouped_series_are_sorted_by_name_with_cycling_colors(self): + """Should build one series per group, sorted alphabetically, cycling through the palette.""" + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", + transform=PanelTransform(x="ts", y="v", groupBy="pod_name"), + ) + data = [ + {"pod_name": "b", "ts": "t2", "v": 5}, + {"pod_name": "a", "ts": "t1", "v": 1}, + {"pod_name": "a", "ts": "t2", "v": 3}, + {"pod_name": "c", "ts": "t1", "v": 100}, + ] + + option = processor._transform_to_timeseries(data, panel_config) + + series = option["series"] + assert [s["name"] for s in series] == ["a", "b", "c"] + assert series[0]["data"] == [["t1", 1.0], ["t2", 3.0]] + assert series[1]["data"] == [["t2", 5.0]] + assert series[2]["data"] == [["t1", 100.0]] + assert series[0]["lineStyle"]["color"] == "#5470c6" + assert series[1]["lineStyle"]["color"] == "#91cc75" + assert series[2]["lineStyle"]["color"] == "#fac858" + + def test_top_filter_keeps_highest_average_series(self): + """Should keep only the top-N series by average value when 'top' is set.""" + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", + transform=PanelTransform(x="ts", y="v", groupBy="pod_name", top=2), + ) + data = [ + {"pod_name": "b", "ts": "t2", "v": 5}, + {"pod_name": "a", "ts": "t1", "v": 1}, + {"pod_name": "a", "ts": "t2", "v": 3}, + {"pod_name": "c", "ts": "t1", "v": 100}, + ] + + option = processor._transform_to_timeseries(data, panel_config) + + assert [s["name"] for s in option["series"]] == ["b", "c"] + + def test_firstn_filter_keeps_first_n_by_name(self): + """Should keep only the first-N series by name (no value sorting) when 'firstN' is set.""" + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", + transform=PanelTransform(x="ts", y="v", groupBy="pod_name", firstN=2), + ) + data = [ + {"pod_name": "b", "ts": "t2", "v": 5}, + {"pod_name": "a", "ts": "t1", "v": 1}, + {"pod_name": "c", "ts": "t1", "v": 100}, + ] + + option = processor._transform_to_timeseries(data, panel_config) + + assert [s["name"] for s in option["series"]] == ["a", "b"] + + def test_single_series_without_groupby_has_no_x_pairing(self): + """ + Characterizes current behavior: without groupBy, series data is a plain + list of y-values (no [timestamp, value] pairing), unlike the grouped path. + """ + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", title="Solo", transform=PanelTransform(x="ts", y="v") + ) + data = [{"ts": "t1", "v": 1}, {"ts": "t2", "v": 2}] + + option = processor._transform_to_timeseries(data, panel_config) + + assert option["series"] == [ + { + "name": "Solo", + "type": "line", + "data": [1.0, 2.0], + "smooth": True, + "sampling": "lttb", + "symbol": "none", + "lineStyle": {"width": 2, "color": "#00d4ff"}, + "areaStyle": {"color": "#00d4ff", "opacity": 0.15}, + } + ] + + def test_datetime_x_values_are_serialized_to_isoformat(self): + """Should convert datetime-like x values to ISO strings via .isoformat().""" + from datetime import datetime + + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", transform=PanelTransform(x="ts", y="v", groupBy="pod") + ) + data = [{"pod": "a", "ts": datetime(2026, 7, 5, 17, 47, 11), "v": 1}] + + option = processor._transform_to_timeseries(data, panel_config) + + assert option["series"][0]["data"] == [["2026-07-05T17:47:11", 1.0]] + + def test_yunit_style_sets_formatter_placeholders(self): + """Should set the matching formatter placeholder on yAxis and tooltip for known units.""" + processor = _make_processor() + style = PanelStyle(yUnit="ms") + panel_config = _create_panel_config( + panel_type="timeseries", + transform=PanelTransform(x="ts", y="v", groupBy="pod"), + style=style, + ) + data = [{"pod": "a", "ts": "t1", "v": 1}] + + option = processor._transform_to_timeseries(data, panel_config) + + assert option["yAxis"]["axisLabel"]["formatter"] == "__MS_FORMATTER__" + assert option["tooltip"]["valueFormatter"] == "__MS_FORMATTER__" + + def test_style_labels_are_applied_to_axes(self): + """Should apply xLabel/yLabel/yMin/yMax from panel style onto the axes.""" + processor = _make_processor() + style = PanelStyle(xLabel="Time", yLabel="Value", yMin=0, yMax=10) + panel_config = _create_panel_config( + panel_type="timeseries", + transform=PanelTransform(x="ts", y="v", groupBy="pod"), + style=style, + ) + data = [{"pod": "a", "ts": "t1", "v": 1}] + + option = processor._transform_to_timeseries(data, panel_config) + + assert option["xAxis"]["name"] == "Time" + assert option["yAxis"]["name"] == "Value" + assert option["yAxis"]["min"] == 0 + assert option["yAxis"]["max"] == 10 + + def test_echarts_options_override_is_deep_merged(self): + """Should deep-merge user-provided echarts_options into the generated option.""" + processor = _make_processor() + panel_config = _create_panel_config( + panel_type="timeseries", + transform=PanelTransform(x="ts", y="v", groupBy="pod"), + echarts_options={"grid": {"left": "1%"}}, + ) + data = [{"pod": "a", "ts": "t1", "v": 1}] + + option = processor._transform_to_timeseries(data, panel_config) + + assert option["grid"]["left"] == "1%" + assert option["grid"]["right"] == "4%" # untouched default preserved + + +# --------------------------------------------------------------------------- # +# PanelProcessor.transform_panel_data Tests +# --------------------------------------------------------------------------- # +class TestTransformPanelData: + """Tests for PanelProcessor.transform_panel_data.""" + + def test_missing_dataset_raises_value_error(self): + """Should raise ValueError when the panel's dataset has no stored data.""" + db = MagicMock() + db.get_dataset.return_value = None + processor = _make_processor(db) + panel_config = _create_panel_config(dataset="missing-dataset") + + with pytest.raises(ValueError, match="Dataset 'missing-dataset' not found"): + processor.transform_panel_data("exp-1", panel_config) + + def test_empty_dataset_raises_value_error(self): + """Should raise ValueError when the panel's dataset exists but has zero rows.""" + db = MagicMock() + db.get_dataset.return_value = [] + processor = _make_processor(db) + panel_config = _create_panel_config(dataset="empty-dataset") + + with pytest.raises(ValueError, match="Dataset 'empty-dataset' not found"): + processor.transform_panel_data("exp-1", panel_config) + + def test_applies_derive_transformations_before_routing_to_echarts(self, mocker): + """Should run derive transformations on the fetched data before building the option.""" + db = MagicMock() + db.get_dataset.return_value = [{"pod_name": "node-1"}] + processor = _make_processor(db) + panel_config = _create_panel_config() + derived_data = [{"pod_name": "node-1", "pod_group": "normal"}] + mock_derive = mocker.patch.object( + processor, "_apply_derive_transformations", return_value=derived_data + ) + mock_echarts = mocker.patch.object( + processor, "_transform_to_echarts", return_value={"ok": True} + ) + + result = processor.transform_panel_data("exp-1", panel_config) + + mock_derive.assert_called_once_with([{"pod_name": "node-1"}], panel_config) + mock_echarts.assert_called_once_with(derived_data, panel_config) + assert result == {"ok": True} + + def test_plotly_format_raises_not_implemented(self): + """Should raise NotImplementedError for the not-yet-supported plotly format.""" + db = MagicMock() + db.get_dataset.return_value = [{"a": 1}] + processor = _make_processor(db) + panel_config = _create_panel_config() + + with pytest.raises(NotImplementedError, match="Plotly"): + processor.transform_panel_data("exp-1", panel_config, viz_format="plotly") + + def test_unsupported_format_raises_value_error(self): + """Should raise ValueError for a viz_format that isn't recognized at all.""" + db = MagicMock() + db.get_dataset.return_value = [{"a": 1}] + processor = _make_processor(db) + panel_config = _create_panel_config() + + with pytest.raises(ValueError, match="Unsupported visualization format"): + processor.transform_panel_data("exp-1", panel_config, viz_format="svg") + + +# --------------------------------------------------------------------------- # +# PanelProcessor._transform_to_echarts Tests +# --------------------------------------------------------------------------- # +class TestTransformToEcharts: + """Tests for PanelProcessor._transform_to_echarts.""" + + def test_boxplot_type_routes_to_transform_to_boxplot(self, mocker): + """Should route boxplot panels to _transform_to_boxplot.""" + processor = _make_processor() + panel_config = _create_panel_config(panel_type="boxplot") + data = [{"a": 1}] + mock_boxplot = mocker.patch.object( + processor, "_transform_to_boxplot", return_value={"kind": "boxplot"} + ) + + result = processor._transform_to_echarts(data, panel_config) + + mock_boxplot.assert_called_once_with(data, panel_config) + assert result == {"kind": "boxplot"} + + def test_timeseries_type_routes_to_transform_to_timeseries(self, mocker): + """Should route timeseries panels to _transform_to_timeseries.""" + processor = _make_processor() + panel_config = _create_panel_config(panel_type="timeseries") + data = [{"a": 1}] + mock_timeseries = mocker.patch.object( + processor, "_transform_to_timeseries", return_value={"kind": "timeseries"} + ) + + result = processor._transform_to_echarts(data, panel_config) + + mock_timeseries.assert_called_once_with(data, panel_config) + assert result == {"kind": "timeseries"} + + def test_histogram_type_raises_not_implemented(self): + """Should raise NotImplementedError for the not-yet-supported histogram type.""" + processor = _make_processor() + panel_config = _create_panel_config(panel_type="histogram") + + with pytest.raises(NotImplementedError, match="Histogram"): + processor._transform_to_echarts([], panel_config) + + def test_bar_type_raises_not_implemented(self): + """Should raise NotImplementedError for the not-yet-supported bar type.""" + processor = _make_processor() + panel_config = _create_panel_config(panel_type="bar") + + with pytest.raises(NotImplementedError, match="Bar chart"): + processor._transform_to_echarts([], panel_config) + + def test_table_type_returns_data_as_is(self): + """Should return the data unchanged (wrapped with type/title) for table panels.""" + processor = _make_processor() + panel_config = _create_panel_config(panel_type="table", title="Raw Rows") + data = [{"a": 1}, {"a": 2}] + + result = processor._transform_to_echarts(data, panel_config) + + assert result == {"type": "table", "title": "Raw Rows", "data": data} + + def test_unknown_type_raises_value_error(self): + """Should raise ValueError for a panel type outside the known set.""" + processor = _make_processor() + panel_config = _create_panel_config(panel_type="boxplot") + panel_config.type = "unknown-type" # bypass pydantic's Literal at construction time + + with pytest.raises(ValueError, match="Unknown panel type"): + processor._transform_to_echarts([], panel_config) diff --git a/dst_dashboard/sample_config.yaml b/dst_dashboard/sample_config.yaml index 7bcf53c0..ca5f860a 100644 --- a/dst_dashboard/sample_config.yaml +++ b/dst_dashboard/sample_config.yaml @@ -1,292 +1,20 @@ # DST Explorer Configuration -# Global datasources - defined once, referenced by all experiments +# Global datasources - defined once, referenced by all experiments. +# +# Experiments are no longer defined here - they're managed exclusively through +# the API (see README.md "Managing experiments"). To seed the 3 example +# experiments this file used to contain, see +# dst_dashboard/scripts/seed_data/experiments.json and seed_experiments.py. datasources: - name: victoria-logs type: VictoriaLogs url: https://vlselect.lab.vac.dev/select/logsql/query - + - name: victoria-metrics type: Prometheus url: https://metrics.lab.vac.dev/select/0/prometheus/api/v1/ -# Experiments - each experiment is a page with multiple panels -experiments: - - id: gossipsub-pq-s1-2026-06-12 - title: "GossipSub Priority Queues: Medium Queue Overflow" - family: libp2p/gossipsub - publish: true - description: "Analysis of medium priority queue behavior under high load conditions with mixed node speeds" - github_repo: "https://github.com/vacp2p/nim-libp2p" - github_pr: "https://github.com/vacp2p/nim-libp2p/pull/1234" - docker_image: "harbor.status.im/nim-libp2p:v1.2.0" - date: "2026-06-12" - - metadata: - scenario: S1 - namespace: libp2p-lab - date: "2026-06-12" - num_normal_nodes: 1 - num_slow_nodes: 1 - # Stack info for data fetching (from 10ksim metadata.json) - statefulsets: ["nimp2p"] - nodes: [2] - container_name: "pod-0" - - datasets: - - name: message-delays - datasource: victoria-logs - timeRange: - start: "2026-06-12T22:09:00Z" - end: "2026-06-12T22:13:30Z" - query: - namespace: libp2p-lab - tracer: nimlibp2p - pattern: received - schema: - - name: timestamp - type: datetime - - name: pod_name - type: string - - name: delayMs - type: float - - - name: queue-drops - datasource: victoria-metrics - timeRange: - start: "2026-06-12T22:09:00Z" - end: "2026-06-12T22:13:30Z" - query: - expr: increase(libp2p_pubsub_medium_priority_queue_drops_total{namespace="libp2p-lab"}[1m]) - step: 15s - scrapeInterval: 10s - schema: - - name: timestamp - type: datetime - - name: pod - type: string - - name: value - type: float - - panels: - - name: delay-boxplot - title: Message Delivery Delay Distribution - type: boxplot - dataset: message-delays - publish: true - transform: - derive: - - name: pod_group - function: regex_match - field: pod_name - pattern: ".*slow.*" - match: slow - no_match: normal - groupBy: pod_group - value: delayMs - - - name: medium-queue-drops - title: Medium Queue Drops Over Time - type: timeseries - dataset: queue-drops - publish: true - transform: - x: timestamp - y: value - style: - yLabel: Drops/sec - - - id: nimlibp2p-delay-2026-06-15 - title: "Nimlibp2p Message Delivery Performance" - family: libp2p/nimlibp2p - publish: true - description: "Performance testing of message delivery latency in nimlibp2p under various network conditions" - github_repo: "https://github.com/vacp2p/nim-libp2p" - github_pr: "https://github.com/vacp2p/nim-libp2p/pull/1235" - docker_image: "harbor.status.im/nim-libp2p:v1.2.1" - date: "2026-06-15" - - metadata: - namespace: nimlibp2p - num_nodes: 20 - statefulsets: ["nodes"] - nodes: [20] - - datasets: - - name: message-delays - datasource: victoria-logs - timeRange: - start: "2026-06-13T00:09:00Z" - end: "2026-06-13T00:13:00Z" - query: - namespace: nimlibp2p - tracer: nimlibp2p - pattern: received - schema: - - name: timestamp - type: datetime - - name: pod_name - type: string - - name: delayMs - type: float - - panels: - - name: delay-by-peer - title: Message Delivery Delay by Peer (Top 10) - type: boxplot - dataset: message-delays - publish: true - transform: - groupBy: pod_name - value: delayMs - top: 10 - - - id: gossipsub-yamux-s0-2026-07-05 - title: "GossipSub 100 Node Regression Test" - family: libp2p/gossipsub - publish: true - description: "GossipSub performance with 100 nodes using yamux muxer" - github_repo: "https://github.com/vacp2p/nim-libp2p" - docker_image: "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4" - date: "2026-07-05" - - metadata: - scenario: S0 - namespace: libp2p-lab - muxer: yamux - num_normal_nodes: 100 - num_slow_nodes: 0 - total_peers: 10 - connect_to: 6 - gossipsub_d: 6 - statefulsets: ["nimp2p"] - nodes: [100] - container_name: "pod-0" - - datasets: - - name: message-delays - datasource: victoria-logs - timeRange: - start: "2026-07-05T17:47:11Z" - end: "2026-07-05T17:55:00Z" - query: - namespace: libp2p-lab - tracer: nimlibp2p - pattern: received - schema: - - name: timestamp - type: datetime - - name: pod_name - type: string - - name: delayMs - type: float - - - name: bandwidth-usage-dl - datasource: victoria-metrics - timeRange: - start: "2026-07-05T17:47:11Z" - end: "2026-07-05T17:55:00Z" - query: - expr: rate(container_network_transmit_bytes_total{namespace="libp2p-lab"}[1m]) - step: 15s - scrapeInterval: 10s - schema: - - name: timestamp - type: datetime - - name: pod - type: string - - name: value - type: float - - - name: bandwidth-usage-ul - datasource: victoria-metrics - timeRange: - start: "2026-07-05T17:47:11Z" - end: "2026-07-05T17:55:00Z" - query: - expr: rate(container_network_receive_bytes_total{namespace="libp2p-lab"}[1m]) - step: 15s - scrapeInterval: 10s - schema: - - name: timestamp - type: datetime - - name: pod - type: string - - name: value - type: float - - panels: - - name: delay-boxplot-top10 - title: Message Delivery Delay (Top 10 Peers) - type: boxplot - dataset: message-delays - publish: true - transform: - groupBy: pod_name - value: delayMs - top: 10 - # Example: Custom ECharts options to override default styling - #echarts_options: - # color: ["#ff6b6b"] # Custom red color for boxplot - # grid: - # left: "5%" - # right: "5%" - - - name: delay-timeseries-top10 - title: Message Delay Over Time (Top 10 Peers) - type: timeseries - dataset: message-delays - publish: true - transform: - x: timestamp - y: delayMs - groupBy: pod_name - top: 10 - style: - yLabel: Delay (ms) - # Example: Custom colors for timeseries - echarts_options: - color: - - "#5470c6" - - "#91cc75" - - "#fac858" - - "#ee6666" - - "#73c0de" - #toolbox: - # show: false # Hide toolbox for cleaner look - - - name: bandwidth-usage-dl-chart - title: Network Bandwidth Usage DL - type: timeseries - dataset: bandwidth-usage-dl - publish: true - transform: - x: timestamp - y: value - groupBy: pod - top: 10 - style: - yLabel: Download - yUnit: bytes/s - - - name: bandwidth-usage-ul-chart - title: Network Bandwidth Usage UL - type: timeseries - dataset: bandwidth-usage-ul - publish: true - transform: - x: timestamp - y: value - groupBy: pod - top: 10 - style: - yLabel: Upload - yUnit: bytes/s - - - - - diff --git a/dst_dashboard/scripts/__init__.py b/dst_dashboard/scripts/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/dst_dashboard/scripts/seed_data/experiments.json b/dst_dashboard/scripts/seed_data/experiments.json new file mode 100644 index 00000000..12957ec9 --- /dev/null +++ b/dst_dashboard/scripts/seed_data/experiments.json @@ -0,0 +1,366 @@ +{ + "experiments": [ + { + "title": "GossipSub Priority Queues: Medium Queue Overflow", + "family": "libp2p/gossipsub", + "publish": true, + "description": "Analysis of medium priority queue behavior under high load conditions with mixed node speeds", + "github_repo": "https://github.com/vacp2p/nim-libp2p", + "github_pr": "https://github.com/vacp2p/nim-libp2p/pull/1234", + "docker_image": "harbor.status.im/nim-libp2p:v1.2.0", + "date": "2026-06-12", + "metadata": { + "scenario": "S1", + "namespace": "libp2p-lab", + "date": "2026-06-12", + "num_normal_nodes": 1, + "num_slow_nodes": 1, + "statefulsets": [ + "nimp2p" + ], + "nodes": [ + 2 + ], + "container_name": "pod-0" + }, + "datasets": [ + { + "name": "message-delays", + "datasource": "victoria-logs", + "timeRange": { + "start": "2026-06-12T22:09:00Z", + "end": "2026-06-12T22:13:30Z" + }, + "query": { + "namespace": "libp2p-lab", + "tracer": "nimlibp2p", + "pattern": "received" + }, + "schema": [ + { + "name": "timestamp", + "type": "datetime" + }, + { + "name": "pod_name", + "type": "string" + }, + { + "name": "delayMs", + "type": "float" + } + ] + }, + { + "name": "queue-drops", + "datasource": "victoria-metrics", + "timeRange": { + "start": "2026-06-12T22:09:00Z", + "end": "2026-06-12T22:13:30Z" + }, + "query": { + "expr": "increase(libp2p_pubsub_medium_priority_queue_drops_total{namespace=\"libp2p-lab\"}[1m])", + "step": "15s", + "scrapeInterval": "10s" + }, + "schema": [ + { + "name": "timestamp", + "type": "datetime" + }, + { + "name": "pod", + "type": "string" + }, + { + "name": "value", + "type": "float" + } + ] + } + ], + "panels": [ + { + "name": "delay-boxplot", + "title": "Message Delivery Delay Distribution", + "type": "boxplot", + "dataset": "message-delays", + "publish": true, + "transform": { + "derive": [ + { + "name": "pod_group", + "function": "regex_match", + "field": "pod_name", + "pattern": ".*slow.*", + "match": "slow", + "no_match": "normal" + } + ], + "groupBy": "pod_group", + "value": "delayMs" + } + }, + { + "name": "medium-queue-drops", + "title": "Medium Queue Drops Over Time", + "type": "timeseries", + "dataset": "queue-drops", + "publish": true, + "transform": { + "x": "timestamp", + "y": "value" + }, + "style": { + "yLabel": "Drops/sec" + } + } + ] + }, + { + "title": "Nimlibp2p Message Delivery Performance", + "family": "libp2p/nimlibp2p", + "publish": true, + "description": "Performance testing of message delivery latency in nimlibp2p under various network conditions", + "github_repo": "https://github.com/vacp2p/nim-libp2p", + "github_pr": "https://github.com/vacp2p/nim-libp2p/pull/1235", + "docker_image": "harbor.status.im/nim-libp2p:v1.2.1", + "date": "2026-06-15", + "metadata": { + "namespace": "nimlibp2p", + "num_nodes": 20, + "statefulsets": [ + "nodes" + ], + "nodes": [ + 20 + ] + }, + "datasets": [ + { + "name": "message-delays", + "datasource": "victoria-logs", + "timeRange": { + "start": "2026-06-13T00:09:00Z", + "end": "2026-06-13T00:13:00Z" + }, + "query": { + "namespace": "nimlibp2p", + "tracer": "nimlibp2p", + "pattern": "received" + }, + "schema": [ + { + "name": "timestamp", + "type": "datetime" + }, + { + "name": "pod_name", + "type": "string" + }, + { + "name": "delayMs", + "type": "float" + } + ] + } + ], + "panels": [ + { + "name": "delay-by-peer", + "title": "Message Delivery Delay by Peer (Top 10)", + "type": "boxplot", + "dataset": "message-delays", + "publish": true, + "transform": { + "groupBy": "pod_name", + "value": "delayMs", + "top": 10 + } + } + ] + }, + { + "title": "GossipSub 100 Node Regression Test", + "family": "libp2p/gossipsub", + "publish": true, + "description": "GossipSub performance with 100 nodes using yamux muxer", + "github_repo": "https://github.com/vacp2p/nim-libp2p", + "docker_image": "mamoutoudiarra/nim-libp2p-test:gossip-queues-v0.4", + "date": "2026-07-05", + "metadata": { + "scenario": "S0", + "namespace": "libp2p-lab", + "muxer": "yamux", + "num_normal_nodes": 100, + "num_slow_nodes": 0, + "total_peers": 10, + "connect_to": 6, + "gossipsub_d": 6, + "statefulsets": [ + "nimp2p" + ], + "nodes": [ + 100 + ], + "container_name": "pod-0" + }, + "datasets": [ + { + "name": "message-delays", + "datasource": "victoria-logs", + "timeRange": { + "start": "2026-07-05T17:47:11Z", + "end": "2026-07-05T17:55:00Z" + }, + "query": { + "namespace": "libp2p-lab", + "tracer": "nimlibp2p", + "pattern": "received" + }, + "schema": [ + { + "name": "timestamp", + "type": "datetime" + }, + { + "name": "pod_name", + "type": "string" + }, + { + "name": "delayMs", + "type": "float" + } + ] + }, + { + "name": "bandwidth-usage-dl", + "datasource": "victoria-metrics", + "timeRange": { + "start": "2026-07-05T17:47:11Z", + "end": "2026-07-05T17:55:00Z" + }, + "query": { + "expr": "rate(container_network_transmit_bytes_total{namespace=\"libp2p-lab\"}[1m])", + "step": "15s", + "scrapeInterval": "10s" + }, + "schema": [ + { + "name": "timestamp", + "type": "datetime" + }, + { + "name": "pod", + "type": "string" + }, + { + "name": "value", + "type": "float" + } + ] + }, + { + "name": "bandwidth-usage-ul", + "datasource": "victoria-metrics", + "timeRange": { + "start": "2026-07-05T17:47:11Z", + "end": "2026-07-05T17:55:00Z" + }, + "query": { + "expr": "rate(container_network_receive_bytes_total{namespace=\"libp2p-lab\"}[1m])", + "step": "15s", + "scrapeInterval": "10s" + }, + "schema": [ + { + "name": "timestamp", + "type": "datetime" + }, + { + "name": "pod", + "type": "string" + }, + { + "name": "value", + "type": "float" + } + ] + } + ], + "panels": [ + { + "name": "delay-boxplot-top10", + "title": "Message Delivery Delay (Top 10 Peers)", + "type": "boxplot", + "dataset": "message-delays", + "publish": true, + "transform": { + "groupBy": "pod_name", + "value": "delayMs", + "top": 10 + } + }, + { + "name": "delay-timeseries-top10", + "title": "Message Delay Over Time (Top 10 Peers)", + "type": "timeseries", + "dataset": "message-delays", + "publish": true, + "transform": { + "x": "timestamp", + "y": "delayMs", + "groupBy": "pod_name", + "top": 10 + }, + "style": { + "yLabel": "Delay (ms)" + }, + "echarts_options": { + "color": [ + "#5470c6", + "#91cc75", + "#fac858", + "#ee6666", + "#73c0de" + ] + } + }, + { + "name": "bandwidth-usage-dl-chart", + "title": "Network Bandwidth Usage DL", + "type": "timeseries", + "dataset": "bandwidth-usage-dl", + "publish": true, + "transform": { + "x": "timestamp", + "y": "value", + "groupBy": "pod", + "top": 10 + }, + "style": { + "yLabel": "Download", + "yUnit": "bytes/s" + } + }, + { + "name": "bandwidth-usage-ul-chart", + "title": "Network Bandwidth Usage UL", + "type": "timeseries", + "dataset": "bandwidth-usage-ul", + "publish": true, + "transform": { + "x": "timestamp", + "y": "value", + "groupBy": "pod", + "top": 10 + }, + "style": { + "yLabel": "Upload", + "yUnit": "bytes/s" + } + } + ] + } + ] +} \ No newline at end of file diff --git a/dst_dashboard/scripts/seed_experiments.py b/dst_dashboard/scripts/seed_experiments.py new file mode 100644 index 00000000..78c56e23 --- /dev/null +++ b/dst_dashboard/scripts/seed_experiments.py @@ -0,0 +1,91 @@ +"""One-time (or re-run anytime) seeding of experiments via the API. + +Experiments are managed exclusively through the API now - config.yaml no +longer defines them. This script reads a JSON file of experiment definitions +(see seed_data/experiments.json, extracted from the old config.yaml) and +POSTs each one through POST /experiments, same as any other client would. +`id` is server-assigned on create, so the seed file doesn't (and shouldn't) +include one; a 409 means an experiment with that title already exists. + +Usage: + DST_ADMIN_TOKEN= uv run python -m dst_dashboard.scripts.seed_experiments + + or: + + uv run python -m dst_dashboard.scripts.seed_experiments \\ + --api-url http://localhost:8000 \\ + --token \\ + --seed-file dst_dashboard/scripts/seed_data/experiments.json +""" + +import argparse +import json +import os +import sys +from pathlib import Path + +import requests + +DEFAULT_SEED_FILE = Path(__file__).parent / "seed_data" / "experiments.json" + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--api-url", + default=os.environ.get("DST_API_URL", "http://localhost:8000"), + help="Base URL of the running DST Dashboard API (default: %(default)s, or DST_API_URL)", + ) + parser.add_argument( + "--token", + default=os.environ.get("DST_ADMIN_TOKEN"), + help="Admin bearer token from /admin/token (default: DST_ADMIN_TOKEN env var)", + ) + parser.add_argument( + "--seed-file", + default=DEFAULT_SEED_FILE, + type=Path, + help="JSON file with an 'experiments:' list (default: %(default)s)", + ) + args = parser.parse_args() + + if not args.token: + print("Error: an admin token is required (--token or DST_ADMIN_TOKEN). " + "Get one from GET /admin/token.", file=sys.stderr) + sys.exit(1) + + with open(args.seed_file, "r", encoding="utf-8") as f: + seed_data = json.load(f) + + experiments = seed_data.get("experiments", []) + if not experiments: + print(f"No experiments found in {args.seed_file}") + return + + headers = {"Authorization": f"Bearer {args.token}"} + created, skipped, failed = 0, 0, 0 + + for experiment in experiments: + title = experiment.get("title", "") + response = requests.post( + f"{args.api_url}/experiments", json=experiment, headers=headers, timeout=120 + ) + + if response.status_code == 201: + new_id = response.json().get("id") + print(f"Created '{title}' (id={new_id})") + created += 1 + elif response.status_code == 409: + print(f"Skipped '{title}' (title already exists)") + skipped += 1 + else: + print(f"Failed '{title}': {response.status_code} {response.text}", file=sys.stderr) + failed += 1 + + print(f"\nDone: {created} created, {skipped} skipped, {failed} failed") + if failed: + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/dst_dashboard/static/admin.html b/dst_dashboard/static/admin.html new file mode 100644 index 00000000..aa833af9 --- /dev/null +++ b/dst_dashboard/static/admin.html @@ -0,0 +1,384 @@ + + + + + +DST Dashboard - Admin + + + + + + + +
+
+ VacLab + DST Dashboard +
+ VacLab · IFT +

Admin

+ +
+

API Token

+

+ Tokens are valid for 24 hours. Generate one below - it's used automatically + by the experiment form below for the rest of this page's session. +

+
No token yet - click "Generate token".
+ + +

+ Use elsewhere as: Authorization: Bearer <token> +

+
+ +
+

Experiments

+

List, create, edit, or delete experiments by pasting JSON.

+ + + + + + + + + + + + +
TitleFamilyIDDate
+ +
+

New experiment

+ +
+ + +
+
+
+ + + + diff --git a/dst_dashboard/storage/db.py b/dst_dashboard/storage/db.py index f79a104e..4e74537e 100644 --- a/dst_dashboard/storage/db.py +++ b/dst_dashboard/storage/db.py @@ -1,167 +1,133 @@ -"""MontyDB database client for storing experiments and datasets. +"""MongoDB database client for storing experiments and datasets.""" -Uses MontyDB (embedded MongoDB-compatible database) as cache storage. -""" - -from pathlib import Path -from typing import Any, Dict, List, Optional +import json import threading +from typing import Any, Dict, List, Optional -from montydb import MontyClient, set_storage +from gridfs import GridFSBucket, NoFile +from pymongo import MongoClient from dst_dashboard.config.constants import Constants from dst_dashboard.config.data_structures import DataSourceConfig -# Thread-local storage to track if storage has been configured for this thread -_storage_configured = threading.local() - -# Global lock for database initialization (table creation, etc.) -_db_init_lock = threading.Lock() +# Process-wide MongoClient. MongoClient manages its own internal connection +# pool and is thread-safe, so a single instance is created lazily on first use +# and reused by every DSTDatabase() instantiation for the life of the process +# instead of opening a new connection per call. +_client_lock = threading.Lock() +_client: Optional[MongoClient] = None +_indexes_ensured = False -class DSTDatabase: - """Database client for DST Dashboard using MontyDB.""" +def _get_client() -> MongoClient: + """Get (creating if needed) the shared, process-wide MongoClient.""" + global _client + if _client is None: + with _client_lock: + if _client is None: + _client = MongoClient(str(Constants.DST_MONGO_URI)) + return _client - @staticmethod - def _configure_storage(db_path: Path): - """ - Configure MontyDB storage for the current thread. - Thread-safe - can be called multiple times. - - Args: - db_path: Path to database directory - """ - # Check if already configured for this thread - if getattr(_storage_configured, 'configured', False): - return - - # Configure MontyDB with SQLite + WAL mode for concurrent access - # WAL mode allows multiple readers + one writer simultaneously - set_storage( - str(db_path), - storage="sqlite", - journal_mode="WAL", # Write-Ahead Logging for concurrent access - check_same_thread=False, # Allow multi-threaded access - use_bson=False # Use MontyDB's built-in BSON implementation - ) - - # Mark as configured for this thread - _storage_configured.configured = True - def __init__(self, db_path: Optional[Path] = None): - """Initialize MontyDB client. +def _json_default(value: Any) -> str: + """json.dumps fallback for datetime-like objects (e.g. pandas Timestamp). - Args: - db_path: Path to database directory. Defaults to `DST_DB_PATH` env var or ~/.cache/dst_dashboard - """ - if db_path is None: - db_path = Path(Constants.DST_DB_PATH).expanduser() + BSON serializes these natively via isinstance(value, datetime.datetime), + but plain json.dumps doesn't - GridFS stores raw JSON bytes, so this + fills that gap the same way FastAPI's own encoder would. + """ + if hasattr(value, "isoformat"): + return value.isoformat() + raise TypeError(f"Object of type {type(value).__name__} is not JSON serializable") - db_path.mkdir(parents=True, exist_ok=True) - # Configure storage for this thread - self._configure_storage(db_path) +class DSTDatabase: + """Database client for DST Dashboard, backed by MongoDB.""" - # Use lock for initial client/database creation to avoid race conditions - with _db_init_lock: - self.client = MontyClient(str(db_path)) - self.db = self.client.dst_dashboard + def __init__(self): + """Initialize database client using the shared MongoClient.""" + self.client = _get_client() + self.db = self.client[str(Constants.DST_MONGO_DB_NAME)] # Collections self.experiments = self.db.experiments - self.datasets = self.db.datasets - self.panels = self.db.panels self.datasources = self.db.datasources - def store_experiment(self, experiment: Dict[str, Any]) -> str: - """Store experiment configuration. + # Dataset rows and panel ECharts specs can exceed MongoDB's 16MB + # document limit (millions of rows, or huge "top N" series arrays), + # so both are stored via GridFS, which transparently chunks large + # content and reassembles it on read. + self.dataset_fs = GridFSBucket(self.db, bucket_name="datasets") + self.panel_fs = GridFSBucket(self.db, bucket_name="panels") - Args: - experiment: Experiment config dict + self._ensure_indexes() + + def _ensure_indexes(self): + """Create unique indexes once per process. Cheap no-op on subsequent calls.""" + global _indexes_ensured + if _indexes_ensured: + return + with _client_lock: + if _indexes_ensured: + return + self.experiments.create_index("id", unique=True) + self.experiments.create_index("title", unique=True) + self.datasources.create_index("name", unique=True) + self.db["datasets.files"].create_index("metadata.experiment_id") + self.db["panels.files"].create_index("metadata.experiment_id") + _indexes_ensured = True - Returns: - Experiment ID - """ - result = self.experiments.update_one( + def store_experiment(self, experiment: Dict[str, Any]) -> str: + """Store experiment configuration. Returns the experiment ID.""" + self.experiments.update_one( {"id": experiment["id"]}, {"$set": experiment}, upsert=True ) return experiment["id"] def get_experiment(self, experiment_id: str) -> Optional[Dict[str, Any]]: - """Get experiment by ID. - - Args: - experiment_id: Experiment ID - - Returns: - Experiment dict or None - """ + """Get experiment by ID.""" return self.experiments.find_one({"id": experiment_id}, {"_id": 0}) def list_experiments(self) -> List[Dict[str, Any]]: - """List all experiments. - - Returns: - List of experiment dicts - """ + """List all experiments.""" return list(self.experiments.find({}, {"_id": 0})) def store_dataset( self, experiment_id: str, dataset_name: str, data: List[Dict[str, Any]] ) -> str: - """Store dataset data. - - Args: - experiment_id: Experiment ID - dataset_name: Dataset name - data: List of data rows - - Returns: - Dataset ID - """ + """Store dataset data via GridFS. Returns the dataset ID.""" dataset_id = f"{experiment_id}:{dataset_name}" - dataset_doc = { - "id": dataset_id, - "experiment_id": experiment_id, - "name": dataset_name, - "data": data, - "row_count": len(data), - } - self.datasets.update_one({"id": dataset_id}, {"$set": dataset_doc}, upsert=True) + self._delete_gridfs_file(self.dataset_fs, dataset_id) + self.dataset_fs.upload_from_stream( + dataset_id, + json.dumps(data, default=_json_default).encode("utf-8"), + metadata={ + "experiment_id": experiment_id, + "name": dataset_name, + "row_count": len(data), + }, + ) return dataset_id def get_dataset( self, experiment_id: str, dataset_name: str ) -> Optional[List[Dict[str, Any]]]: - """Get dataset data. - - Args: - experiment_id: Experiment ID - dataset_name: Dataset name - - Returns: - List of data rows or None - """ + """Get dataset data.""" dataset_id = f"{experiment_id}:{dataset_name}" - doc = self.datasets.find_one({"id": dataset_id}, {"_id": 0}) - return doc["data"] if doc else None + payload = self._download_gridfs_file(self.dataset_fs, dataset_id) + return json.loads(payload) if payload is not None else None def list_panels(self, experiment_id: str) -> List[Dict[str, Any]]: - """List stored panel metadata for an experiment. - - Args: - experiment_id: Experiment ID - - Returns: - List of panel metadata dicts - """ - docs = list(self.panels.find({"experiment_id": experiment_id}, {"_id": 0})) + """List stored panel metadata for an experiment.""" + docs = self.db["panels.files"].find( + {"metadata.experiment_id": experiment_id}, {"_id": 0, "filename": 1, "metadata": 1} + ) return [ { - "id": doc["id"], - "experiment_id": doc["experiment_id"], - "name": doc["name"], + "id": doc["filename"], + "experiment_id": doc["metadata"]["experiment_id"], + "name": doc["metadata"]["name"], } for doc in docs ] @@ -169,145 +135,107 @@ def list_panels(self, experiment_id: str) -> List[Dict[str, Any]]: def store_panel_data( self, experiment_id: str, panel_name: str, data: Dict[str, Any] ) -> str: - """Store transformed panel data. - - Args: - experiment_id: Experiment ID - panel_name: Panel name - data: Transformed data for frontend - - Returns: - Panel data ID - """ + """Store transformed panel data via GridFS. Returns the panel data ID.""" panel_id = f"{experiment_id}:{panel_name}" - panel_doc = { - "id": panel_id, - "experiment_id": experiment_id, - "name": panel_name, - "data": data, - } - self.panels.update_one({"id": panel_id}, {"$set": panel_doc}, upsert=True) + self._delete_gridfs_file(self.panel_fs, panel_id) + self.panel_fs.upload_from_stream( + panel_id, + json.dumps(data, default=_json_default).encode("utf-8"), + metadata={"experiment_id": experiment_id, "name": panel_name}, + ) return panel_id def get_panel_data( self, experiment_id: str, panel_name: str ) -> Optional[Dict[str, Any]]: - """Get transformed panel data. - - Args: - experiment_id: Experiment ID - panel_name: Panel name - - Returns: - Panel data dict or None - """ + """Get transformed panel data.""" panel_id = f"{experiment_id}:{panel_name}" - doc = self.panels.find_one({"id": panel_id}, {"_id": 0}) - return doc["data"] if doc else None - - def insert_datasource(self, datasource: DataSourceConfig) -> DataSourceConfig: - """Store datasource configuration. - - Args: - datasource: Datasource config + payload = self._download_gridfs_file(self.panel_fs, panel_id) + return json.loads(payload) if payload is not None else None - Returns: - Datasource - """ + def insert_datasource(self, datasource: DataSourceConfig) -> DataSourceConfig: + """Store datasource configuration.""" data = datasource.model_dump() self.datasources.update_one( {"name": data["name"]}, {"$set": data}, upsert=True ) return datasource - - def insert_datasource_list(self, datasources: List[DataSourceConfig]) -> List[DataSourceConfig]: - """Store a list of datasource configurations. - - Args: - datasources: List of datasource configs - Returns: - List of Datasources - """ + def insert_datasource_list(self, datasources: List[DataSourceConfig]) -> List[DataSourceConfig]: + """Store a list of datasource configurations.""" for datasource in datasources: self.insert_datasource(datasource) return datasources - - def dataset_exists(self, experiment_id: str, dataset_name: str) -> bool: - """Check if dataset exists in database. - Args: - experiment_id: Experiment ID - dataset_name: Dataset name - - Returns: - True if dataset exists, False otherwise - """ + def dataset_exists(self, experiment_id: str, dataset_name: str) -> bool: + """Check if dataset exists in database.""" dataset_id = f"{experiment_id}:{dataset_name}" - doc = self.datasets.find_one({"id": dataset_id}, {"_id": 0}) - return doc is not None - - def get_dataset_metadata(self, experiment_id: str, dataset_name: str) -> Optional[Dict[str, Any]]: - """Get dataset metadata without data rows. - - Args: - experiment_id: Experiment ID - dataset_name: Dataset name + return self.db["datasets.files"].find_one({"filename": dataset_id}, {"_id": 1}) is not None - Returns: - Dataset metadata dict or None - """ + def get_dataset_metadata(self, experiment_id: str, dataset_name: str) -> Optional[Dict[str, Any]]: + """Get dataset metadata without data rows.""" dataset_id = f"{experiment_id}:{dataset_name}" - doc = self.datasets.find_one( - {"id": dataset_id}, - {"_id": 0, "id": 1, "experiment_id": 1, "name": 1, "row_count": 1} + doc = self.db["datasets.files"].find_one( + {"filename": dataset_id}, {"_id": 0, "filename": 1, "metadata": 1} ) - return doc + if doc is None: + return None + return { + "id": doc["filename"], + "experiment_id": doc["metadata"]["experiment_id"], + "name": doc["metadata"]["name"], + "row_count": doc["metadata"]["row_count"], + } def delete_experiment(self, experiment_id: str) -> bool: - """Delete an experiment and all its associated data. - - Args: - experiment_id: Experiment ID - - Returns: - True if deleted, False if not found - """ - # Delete experiment + """Delete an experiment and cascade to its datasets and panels.""" result = self.experiments.delete_one({"id": experiment_id}) - - # Delete all datasets for this experiment - self.datasets.delete_many({"experiment_id": experiment_id}) - - # Delete all panels for this experiment - self.panels.delete_many({"experiment_id": experiment_id}) - + self._delete_gridfs_files_matching( + self.dataset_fs, "datasets", {"metadata.experiment_id": experiment_id} + ) + self._delete_gridfs_files_matching( + self.panel_fs, "panels", {"metadata.experiment_id": experiment_id} + ) return result.deleted_count > 0 def delete_dataset(self, experiment_id: str, dataset_name: str) -> bool: - """Delete a dataset. - - Args: - experiment_id: Experiment ID - dataset_name: Dataset name - - Returns: - True if deleted, False if not found - """ + """Delete a dataset.""" dataset_id = f"{experiment_id}:{dataset_name}" - result = self.datasets.delete_one({"id": dataset_id}) - return result.deleted_count > 0 + return self._delete_gridfs_file(self.dataset_fs, dataset_id) def delete_panel(self, experiment_id: str, panel_name: str) -> bool: - """Delete a panel. + """Delete a panel.""" + panel_id = f"{experiment_id}:{panel_name}" + return self._delete_gridfs_file(self.panel_fs, panel_id) - Args: - experiment_id: Experiment ID - panel_name: Panel name + def clear_all_dataset_cache(self) -> int: + """Delete all cached dataset data across every experiment. Returns count removed.""" + count = self.db["datasets.files"].count_documents({}) + self.db["datasets.chunks"].delete_many({}) + self.db["datasets.files"].delete_many({}) + return count - Returns: - True if deleted, False if not found - """ - panel_id = f"{experiment_id}:{panel_name}" - result = self.panels.delete_one({"id": panel_id}) - return result.deleted_count > 0 + @staticmethod + def _delete_gridfs_file(bucket: GridFSBucket, filename: str) -> bool: + """Delete a GridFS file by filename. Returns True if a file was found and deleted.""" + deleted = False + for file_doc in bucket.find({"filename": filename}): + bucket.delete(file_doc._id) + deleted = True + return deleted + + def _delete_gridfs_files_matching( + self, bucket: GridFSBucket, bucket_name: str, query: Dict[str, Any] + ) -> None: + """Delete every GridFS file in a bucket matching a metadata query.""" + file_ids = [doc["_id"] for doc in self.db[f"{bucket_name}.files"].find(query, {"_id": 1})] + for file_id in file_ids: + bucket.delete(file_id) + + @staticmethod + def _download_gridfs_file(bucket: GridFSBucket, filename: str) -> Optional[bytes]: + """Download a GridFS file's raw bytes by filename, or None if it doesn't exist.""" + try: + return bucket.open_download_stream_by_name(filename).read() + except NoFile: + return None diff --git a/pyproject.toml b/pyproject.toml index d7a869b7..9fce530f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,7 +18,8 @@ dependencies = [ "seaborn>=0.13.2", 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dst_dashboard/config/data_structures.py | 1 + dst_dashboard/config/utils.py | 1 + dst_dashboard/main.py | 5 +++-- dst_dashboard/processors/dataset_processor.py | 10 +++++----- dst_dashboard/processors/experiment_processor.py | 6 +++--- dst_dashboard/processors/panel_processor.py | 12 ++++-------- .../processors/tests/test_panel_processor.py | 2 +- dst_dashboard/storage/db.py | 1 - 16 files changed, 34 insertions(+), 34 deletions(-) diff --git a/dst_dashboard/api/admin.py b/dst_dashboard/api/admin.py index abfdbaa6..cfb80c37 100644 --- a/dst_dashboard/api/admin.py +++ b/dst_dashboard/api/admin.py @@ -1,15 +1,15 @@ """Admin API routes for configuration and data management.""" +import logging from pathlib import Path -from fastapi import APIRouter, Depends, Request, HTTPException +from fastapi import APIRouter, Depends, HTTPException, Request from fastapi.responses import HTMLResponse -import logging +from dst_dashboard.auth import create_admin_token, require_admin_token from dst_dashboard.config.utils import LoadConfig -from dst_dashboard.storage.db import DSTDatabase from dst_dashboard.processors.experiment_processor import ExperimentProcessor -from dst_dashboard.auth import create_admin_token, require_admin_token +from dst_dashboard.storage.db import DSTDatabase router = APIRouter(prefix="/admin", tags=["admin"]) logger = logging.getLogger(__name__) diff --git a/dst_dashboard/api/datasets.py b/dst_dashboard/api/datasets.py index 9aba8138..956ea7e6 100644 --- a/dst_dashboard/api/datasets.py +++ b/dst_dashboard/api/datasets.py @@ -2,10 +2,10 @@ from fastapi import APIRouter, Depends, HTTPException, Request -from dst_dashboard.config.data_structures import DatasetConfig, ExperimentConfig -from dst_dashboard.storage.db import DSTDatabase from dst_dashboard.api.utils import get_processor from dst_dashboard.auth import require_admin_token +from dst_dashboard.config.data_structures import DatasetConfig, ExperimentConfig +from dst_dashboard.storage.db import DSTDatabase router = APIRouter( prefix="/experiments/{experiment_id}/datasets", tags=["datasets"] diff --git a/dst_dashboard/api/datasources.py b/dst_dashboard/api/datasources.py index 07d8d725..2131774f 100644 --- a/dst_dashboard/api/datasources.py +++ b/dst_dashboard/api/datasources.py @@ -1,8 +1,11 @@ """Datasource API routes.""" from typing import List + from fastapi import APIRouter, HTTPException, Request + from dst_dashboard.config.data_structures import DataSourceConfig + router = APIRouter(prefix="/datasources", tags=["datasources"]) diff --git a/dst_dashboard/api/experiments.py b/dst_dashboard/api/experiments.py index af080216..5b2dca36 100644 --- a/dst_dashboard/api/experiments.py +++ b/dst_dashboard/api/experiments.py @@ -1,12 +1,12 @@ -from typing import List, Optional, Dict, Any +from typing import Any, Dict, List, Optional from bson import ObjectId from fastapi import APIRouter, Depends, HTTPException, Query, Request -from dst_dashboard.config.data_structures import ExperimentConfig -from dst_dashboard.storage.db import DSTDatabase from dst_dashboard.api.utils import get_processor from dst_dashboard.auth import require_admin_token +from dst_dashboard.config.data_structures import ExperimentConfig +from dst_dashboard.storage.db import DSTDatabase router = APIRouter(prefix="/experiments", tags=["experiments"]) diff --git a/dst_dashboard/api/panels.py b/dst_dashboard/api/panels.py index 509ae753..6d835c3f 100644 --- a/dst_dashboard/api/panels.py +++ b/dst_dashboard/api/panels.py @@ -1,13 +1,13 @@ """Panel API routes.""" import logging -from typing import Dict, Any +from typing import Any, Dict from fastapi import APIRouter, Depends, HTTPException, Request +from dst_dashboard.auth import require_admin_token from dst_dashboard.config.data_structures import ExperimentConfig from dst_dashboard.storage.db import DSTDatabase -from dst_dashboard.auth import require_admin_token router = APIRouter(prefix="/experiments/{experiment_id}/panels", tags=["panels"]) logger = logging.getLogger(__name__) diff --git a/dst_dashboard/api/utils.py b/dst_dashboard/api/utils.py index 410f17b4..ae23d6ac 100644 --- a/dst_dashboard/api/utils.py +++ b/dst_dashboard/api/utils.py @@ -1,6 +1,7 @@ """Utility functions for API routes.""" import logging + from fastapi import HTTPException, Request from dst_dashboard.processors.experiment_processor import ExperimentProcessor diff --git a/dst_dashboard/auth.py b/dst_dashboard/auth.py index 2f5c5098..12512875 100644 --- a/dst_dashboard/auth.py +++ b/dst_dashboard/auth.py @@ -8,7 +8,7 @@ from fastapi import Depends, HTTPException from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer -from dst_dashboard.config.constants import Constants, INSECURE_DEFAULT_JWT_SECRET +from dst_dashboard.config.constants import INSECURE_DEFAULT_JWT_SECRET, Constants logger = logging.getLogger(__name__) diff --git a/dst_dashboard/config/constants.py b/dst_dashboard/config/constants.py index 3da466ca..1815d651 100644 --- a/dst_dashboard/config/constants.py +++ b/dst_dashboard/config/constants.py @@ -2,8 +2,6 @@ from enum import StrEnum from pathlib import Path - - DEFAULT_CONFIG_PATH = Path.home() / ".cache" / "dst_dashboard" / "config.yaml" DEFAULT_DATA_PATH = Path.home() / ".cache" / "dst_dashboard" / "data" DEFAULT_MONGO_URI = "mongodb://localhost:27017" diff --git a/dst_dashboard/config/data_structures.py b/dst_dashboard/config/data_structures.py index f6c23915..cdd41dcb 100644 --- a/dst_dashboard/config/data_structures.py +++ b/dst_dashboard/config/data_structures.py @@ -1,5 +1,6 @@ from datetime import datetime from typing import Any, Dict, List, Literal, Optional + from pydantic import BaseModel diff --git a/dst_dashboard/config/utils.py b/dst_dashboard/config/utils.py index 4cd6f587..55002062 100644 --- a/dst_dashboard/config/utils.py +++ b/dst_dashboard/config/utils.py @@ -1,4 +1,5 @@ import yaml + from dst_dashboard.config.constants import Constants from dst_dashboard.config.data_structures import DashboardFullConfig diff --git a/dst_dashboard/main.py b/dst_dashboard/main.py index cabc7bcb..5fb4594c 100644 --- a/dst_dashboard/main.py +++ b/dst_dashboard/main.py @@ -1,7 +1,8 @@ +import logging +import sys + from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -import sys -import logging from dst_dashboard.api import admin, datasets, datasources, experiments, panels from dst_dashboard.config.utils import LoadConfig diff --git a/dst_dashboard/processors/dataset_processor.py b/dst_dashboard/processors/dataset_processor.py index c88f0d9c..a6339323 100644 --- a/dst_dashboard/processors/dataset_processor.py +++ b/dst_dashboard/processors/dataset_processor.py @@ -1,21 +1,21 @@ """Dataset processor - base class for fetching and processing datasets.""" import logging import threading -from typing import Dict, List, Any, Optional +from typing import Any, Dict, List, Optional import pandas as pd -from result import Ok, Err +from result import Err, Ok from dst_dashboard.config.data_structures import ( + DashboardFullConfig, DatasetConfig, DataSourceConfig, ExperimentConfig, - DashboardFullConfig ) from dst_dashboard.storage.db import DSTDatabase from src.analysis.mesh_analysis.analyzers.data_puller import DataPuller -from src.analysis.metrics import scrape_utils from src.analysis.mesh_analysis.readers.tracers.message_tracer import MessageTracer +from src.analysis.metrics import scrape_utils logger = logging.getLogger(__name__) @@ -37,7 +37,7 @@ def _ensure_victorialogs_logging_initialized(): with _victorialogs_log_init_lock: if _victorialogs_log_initialized: return - from src.analysis.utils.log_utils import apply_config, Config + from src.analysis.utils.log_utils import Config, apply_config try: config = Config( logger_name="data_puller", diff --git a/dst_dashboard/processors/experiment_processor.py b/dst_dashboard/processors/experiment_processor.py index 605ebb9d..ea995471 100644 --- a/dst_dashboard/processors/experiment_processor.py +++ b/dst_dashboard/processors/experiment_processor.py @@ -5,12 +5,12 @@ from bson import ObjectId from dst_dashboard.config.data_structures import ( - ExperimentConfig, + DashboardFullConfig, DatasetConfig, - DashboardFullConfig + ExperimentConfig, ) -from dst_dashboard.storage.db import DSTDatabase from dst_dashboard.processors.panel_processor import PanelProcessor +from dst_dashboard.storage.db import DSTDatabase logger = logging.getLogger(__name__) diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py index 3f41e1be..1285a789 100644 --- a/dst_dashboard/processors/panel_processor.py +++ b/dst_dashboard/processors/panel_processor.py @@ -1,18 +1,14 @@ """Panel processor - processes panel configurations and transformations.""" import logging import re -from concurrent.futures import ThreadPoolExecutor, as_completed -from typing import Dict, List, Any from collections import defaultdict +from concurrent.futures import ThreadPoolExecutor, as_completed from copy import deepcopy +from typing import Any, Dict, List -from dst_dashboard.config.data_structures import ( - PanelConfig, - ExperimentConfig, - DashboardFullConfig -) -from dst_dashboard.storage.db import DSTDatabase +from dst_dashboard.config.data_structures import DashboardFullConfig, ExperimentConfig, PanelConfig from dst_dashboard.processors.dataset_processor import DatasetProcessor +from dst_dashboard.storage.db import DSTDatabase logger = logging.getLogger(__name__) diff --git a/dst_dashboard/processors/tests/test_panel_processor.py b/dst_dashboard/processors/tests/test_panel_processor.py index 00d72a45..641d00b3 100644 --- a/dst_dashboard/processors/tests/test_panel_processor.py +++ b/dst_dashboard/processors/tests/test_panel_processor.py @@ -202,7 +202,7 @@ def test_multiple_panels_mixed_results_counts_only_successes(self, mocker): mocker.patch.object( processor, "process_panel", - side_effect=lambda panel_config: results_by_name[panel_config.name], + side_effect=lambda experiment_id, panel_config: results_by_name[panel_config.name], ) result = processor.process_experiment_panels(experiment, max_workers=4) diff --git a/dst_dashboard/storage/db.py b/dst_dashboard/storage/db.py index 4e74537e..0c203442 100644 --- a/dst_dashboard/storage/db.py +++ b/dst_dashboard/storage/db.py @@ -10,7 +10,6 @@ from dst_dashboard.config.constants import Constants from dst_dashboard.config.data_structures import DataSourceConfig - # Process-wide MongoClient. MongoClient manages its own internal connection # pool and is thread-safe, so a single instance is created lazily on first use # and reused by every DSTDatabase() instantiation for the life of the process From 427537b5a6eaa854265d1c04c19382fbee47491d Mon Sep 17 00:00:00 2001 From: Mamoutou Diarra Date: Sun, 12 Jul 2026 02:23:24 +0200 Subject: [PATCH 6/7] apply black --- dst_dashboard/api/admin.py | 43 +- dst_dashboard/api/datasets.py | 97 +++-- dst_dashboard/api/datasources.py | 3 + dst_dashboard/api/experiments.py | 98 +++-- dst_dashboard/api/panels.py | 157 ++++---- dst_dashboard/auth.py | 3 +- dst_dashboard/config/constants.py | 1 + dst_dashboard/config/data_structures.py | 18 +- dst_dashboard/main.py | 5 +- dst_dashboard/processors/dataset_processor.py | 99 +++-- .../processors/experiment_processor.py | 48 +-- dst_dashboard/processors/panel_processor.py | 370 +++++++----------- dst_dashboard/scripts/seed_experiments.py | 7 +- dst_dashboard/storage/db.py | 24 +- 14 files changed, 440 insertions(+), 533 deletions(-) diff --git a/dst_dashboard/api/admin.py b/dst_dashboard/api/admin.py index cfb80c37..d5fedf81 100644 --- a/dst_dashboard/api/admin.py +++ b/dst_dashboard/api/admin.py @@ -49,16 +49,11 @@ def reload_config(request: Request, _: None = Depends(require_admin_token)): except Exception as e: logger.error(f"Failed to reload configuration: {e}", exc_info=True) - raise HTTPException( - status_code=500, - detail=f"Failed to reload configuration: {str(e)}" - ) + raise HTTPException(status_code=500, detail=f"Failed to reload configuration: {str(e)}") @router.delete("/datasets/{experiment_id}/{dataset_name}") -def clear_dataset( - experiment_id: str, dataset_name: str, _: None = Depends(require_admin_token) -): +def clear_dataset(experiment_id: str, dataset_name: str, _: None = Depends(require_admin_token)): """Clear cached dataset data to force re-fetch on next request.""" try: db = DSTDatabase() @@ -67,22 +62,16 @@ def clear_dataset( logger.info(f"Cleared dataset: {experiment_id}:{dataset_name}") return { "status": "success", - "message": f"Dataset '{dataset_name}' cleared successfully" + "message": f"Dataset '{dataset_name}' cleared successfully", } else: - raise HTTPException( - status_code=404, - detail=f"Dataset '{dataset_name}' not found" - ) + raise HTTPException(status_code=404, detail=f"Dataset '{dataset_name}' not found") except HTTPException: raise except Exception as e: logger.error(f"Failed to clear dataset: {e}") - raise HTTPException( - status_code=500, - detail=f"Failed to clear dataset: {str(e)}" - ) + raise HTTPException(status_code=500, detail=f"Failed to clear dataset: {str(e)}") @router.delete("/datasets") @@ -94,17 +83,11 @@ def clear_all_datasets(_: None = Depends(require_admin_token)): logger.info(f"Cleared {count} datasets") - return { - "status": "success", - "message": f"Cleared {count} datasets successfully" - } + return {"status": "success", "message": f"Cleared {count} datasets successfully"} except Exception as e: logger.error(f"Failed to clear datasets: {e}") - raise HTTPException( - status_code=500, - detail=f"Failed to clear datasets: {str(e)}" - ) + raise HTTPException(status_code=500, detail=f"Failed to clear datasets: {str(e)}") @router.post("/experiments/{experiment_id}/reprocess") @@ -125,6 +108,7 @@ def reprocess_experiment( # Initialize processor from dst_dashboard.config.data_structures import ExperimentConfig + processor = ExperimentProcessor(config, db) experiment = ExperimentConfig(**experiment_data) @@ -140,22 +124,18 @@ def reprocess_experiment( "message": f"Experiment '{experiment_id}' reprocessed successfully", "experiment_id": experiment_id, "datasets_count": len(experiment.datasets), - "panels_count": len(experiment.panels) + "panels_count": len(experiment.panels), } else: raise HTTPException( - status_code=500, - detail=f"Failed to reprocess experiment '{experiment_id}'" + status_code=500, detail=f"Failed to reprocess experiment '{experiment_id}'" ) except HTTPException: raise except Exception as e: logger.error(f"Failed to reprocess experiment: {e}", exc_info=True) - raise HTTPException( - status_code=500, - detail=f"Failed to reprocess experiment: {str(e)}" - ) + raise HTTPException(status_code=500, detail=f"Failed to reprocess experiment: {str(e)}") @router.get("/token", response_class=HTMLResponse) @@ -175,4 +155,3 @@ def admin_page(): def generate_admin_token(): """Mint a fresh admin-scope token. Same protection boundary as GET /admin/token.""" return {"token": create_admin_token()} - diff --git a/dst_dashboard/api/datasets.py b/dst_dashboard/api/datasets.py index 956ea7e6..d9d06ab5 100644 --- a/dst_dashboard/api/datasets.py +++ b/dst_dashboard/api/datasets.py @@ -7,120 +7,111 @@ from dst_dashboard.config.data_structures import DatasetConfig, ExperimentConfig from dst_dashboard.storage.db import DSTDatabase -router = APIRouter( - prefix="/experiments/{experiment_id}/datasets", tags=["datasets"] -) +router = APIRouter(prefix="/experiments/{experiment_id}/datasets", tags=["datasets"]) @router.get("") def get_experiment_datasets(experiment_id: str, request: Request): """Get all datasets for an experiment with their data.""" db = DSTDatabase() - + # Get experiment from database (source of truth) experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Initialize database db = DSTDatabase() - + # Get all datasets with their data datasets = [] for dataset_config in experiment.datasets: cached_data = db.get_dataset(experiment_id, dataset_config.name) - - datasets.append({ - "name": dataset_config.name, - "datasource": dataset_config.datasource, - "timeRange": { - "start": dataset_config.timeRange.start.isoformat(), - "end": dataset_config.timeRange.end.isoformat() - }, - "schema": [{"name": f.name, "type": f.type} for f in dataset_config.schema], - "rowCount": len(cached_data) if cached_data else 0, - "data": cached_data if cached_data else [] - }) - - return { - "experiment_id": experiment_id, - "datasets": datasets - } + + datasets.append( + { + "name": dataset_config.name, + "datasource": dataset_config.datasource, + "timeRange": { + "start": dataset_config.timeRange.start.isoformat(), + "end": dataset_config.timeRange.end.isoformat(), + }, + "schema": [{"name": f.name, "type": f.type} for f in dataset_config.schema], + "rowCount": len(cached_data) if cached_data else 0, + "data": cached_data if cached_data else [], + } + ) + + return {"experiment_id": experiment_id, "datasets": datasets} @router.get("/{dataset_name}", response_model=DatasetConfig) def get_dataset(experiment_id: str, dataset_name: str, request: Request): """Get dataset configuration for an experiment.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Find dataset for dataset in experiment.datasets: if dataset.name == dataset_name: return dataset - + raise HTTPException(status_code=404, detail="Dataset not found") @router.get("/{dataset_name}/data") def get_dataset_data( - experiment_id: str, - dataset_name: str, - request: Request, - refresh: bool = False + experiment_id: str, dataset_name: str, request: Request, refresh: bool = False ): """Get dataset data (with caching support). `refresh=True` forces a re-fetch.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Find dataset config dataset_config = None for dataset in experiment.datasets: if dataset.name == dataset_name: dataset_config = dataset break - + if dataset_config is None: raise HTTPException(status_code=404, detail="Dataset not found") - + # Initialize processor processor = get_processor(request) - + # Check cache unless refresh requested if not refresh: cached_data = db.get_dataset(experiment_id, dataset_name) if cached_data is not None: return {"data": cached_data, "source": "cache"} - + # Fetch fresh data using processor try: data = processor.fetch_dataset(experiment_id, dataset_config) - + # Update cache if data: db.store_dataset(experiment_id, dataset_name, data) - + return {"data": data, "source": "datasource"} - + except Exception as e: - raise HTTPException( - status_code=500, - detail=f"Failed to fetch dataset: {str(e)}" - ) + raise HTTPException(status_code=500, detail=f"Failed to fetch dataset: {str(e)}") @router.delete("/{dataset_name}", status_code=204) @@ -132,29 +123,29 @@ def delete_dataset( ): """Delete a dataset and its data.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Find dataset dataset_index = None for i, ds in enumerate(experiment.datasets): if ds.name == dataset_name: dataset_index = i break - + if dataset_index is None: raise HTTPException(status_code=404, detail="Dataset not found") - + # Remove dataset from experiment experiment.datasets.pop(dataset_index) db.store_experiment(experiment.model_dump()) - + # Delete dataset data db.delete_dataset(experiment_id, dataset_name) - + return None diff --git a/dst_dashboard/api/datasources.py b/dst_dashboard/api/datasources.py index 2131774f..fe2f162c 100644 --- a/dst_dashboard/api/datasources.py +++ b/dst_dashboard/api/datasources.py @@ -19,6 +19,7 @@ def list_datasources( raise HTTPException(status_code=500, detail="Datasources are not initialized") return datasources + @router.get("/prometheus", response_model=List[DataSourceConfig]) def list_prometheus_datasources( request: Request, @@ -30,6 +31,7 @@ def list_prometheus_datasources( prometheus_datasources = [ds for ds in datasources if ds.type.lower() == "prometheus"] return prometheus_datasources + @router.get("/victorialogs", response_model=List[DataSourceConfig]) def list_victorialogs_datasources( request: Request, @@ -41,6 +43,7 @@ def list_victorialogs_datasources( victorialogs_datasources = [ds for ds in datasources if ds.type.lower() == "victorialogs"] return victorialogs_datasources + @router.get("/{datasource_name}", response_model=DataSourceConfig) def get_datasource(datasource_name: str, request: Request): """Get a datasource by name from config.""" diff --git a/dst_dashboard/api/experiments.py b/dst_dashboard/api/experiments.py index 5b2dca36..cc60445a 100644 --- a/dst_dashboard/api/experiments.py +++ b/dst_dashboard/api/experiments.py @@ -16,49 +16,48 @@ def list_families(request: Request) -> Dict[str, Any]: """ Get all experiment families with their experiments. Organized for navigation in the dashboard UI. - + Returns: List of families with nested experiments """ db = DSTDatabase() - + # Get experiments from database (source of truth) experiments_data = db.list_experiments() experiments = [ExperimentConfig(**exp_data) for exp_data in experiments_data] - + # Group experiments by family families_dict = {} for experiment in experiments: if not experiment.publish: continue - + family = experiment.family if family not in families_dict: - families_dict[family] = { - "name": family, - "experiments": [] + families_dict[family] = {"name": family, "experiments": []} + + families_dict[family]["experiments"].append( + { + "id": experiment.id, + "title": experiment.title, + "panel_count": len(experiment.panels), + "dataset_count": len(experiment.datasets), + "metadata": experiment.metadata, + "description": experiment.description, + "github_repo": experiment.github_repo, + "github_pr": experiment.github_pr, + "docker_image": experiment.docker_image, + "date": experiment.date, } - - families_dict[family]["experiments"].append({ - "id": experiment.id, - "title": experiment.title, - "panel_count": len(experiment.panels), - "dataset_count": len(experiment.datasets), - "metadata": experiment.metadata, - "description": experiment.description, - "github_repo": experiment.github_repo, - "github_pr": experiment.github_pr, - "docker_image": experiment.docker_image, - "date": experiment.date - }) - + ) + # Convert to sorted list families = sorted(families_dict.values(), key=lambda x: x["name"]) - + return { "families": families, "total_families": len(families), - "total_experiments": sum(len(f["experiments"]) for f in families) + "total_experiments": sum(len(f["experiments"]) for f in families), } @@ -69,11 +68,11 @@ def list_experiments( ): """List all experiments from database. Use ?publish=true to filter only published experiments.""" db = DSTDatabase() - + # Get experiments from database (source of truth) experiments_data = db.list_experiments() experiments = [ExperimentConfig(**exp_data) for exp_data in experiments_data] - + if publish is not None: experiments = [experiment for experiment in experiments if experiment.publish == publish] @@ -84,13 +83,13 @@ def list_experiments( def get_experiment(experiment_id: str, request: Request): """Get experiment details from database.""" db = DSTDatabase() - + # Get from database (source of truth) experiment_data = db.get_experiment(experiment_id) - + if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + return ExperimentConfig(**experiment_data) @@ -115,19 +114,19 @@ def create_experiment( # Store experiment in database db.store_experiment(experiment.model_dump()) - + # Process the experiment (fetch datasets, generate panels) processor = get_processor(request) success = processor.process_experiment(experiment) - + if not success: # Rollback - delete from DB if processing failed db.delete_experiment(experiment.id) raise HTTPException( - status_code=500, - detail="Failed to process experiment. Check that all datasets and datasources are valid." + status_code=500, + detail="Failed to process experiment. Check that all datasets and datasources are valid.", ) - + return experiment @@ -166,46 +165,45 @@ def update_experiment( # Check if reprocessing is needed needs_reprocessing = ( - existing.datasets != experiment.datasets or - existing.panels != experiment.panels or - any( - existing_ds.datasource != new_ds.datasource or - existing_ds.timeRange != new_ds.timeRange + existing.datasets != experiment.datasets + or existing.panels != experiment.panels + or any( + existing_ds.datasource != new_ds.datasource or existing_ds.timeRange != new_ds.timeRange for existing_ds, new_ds in zip(existing.datasets, experiment.datasets) - ) if len(existing.datasets) == len(experiment.datasets) else True + ) + if len(existing.datasets) == len(experiment.datasets) + else True ) - + # Store updated experiment in database db.store_experiment(experiment.model_dump()) - + # Reprocess if configuration changed if needs_reprocessing: processor = get_processor(request) success = processor.process_experiment(experiment) - + if not success: # Rollback - restore old experiment db.store_experiment(existing.model_dump()) raise HTTPException( status_code=500, - detail="Failed to reprocess experiment. Rolled back to previous configuration." + detail="Failed to reprocess experiment. Rolled back to previous configuration.", ) - + return experiment @router.delete("/{experiment_id}", status_code=204) -def delete_experiment( - experiment_id: str, request: Request, _: None = Depends(require_admin_token) -): +def delete_experiment(experiment_id: str, request: Request, _: None = Depends(require_admin_token)): """Delete an experiment and all its associated data (datasets, panels).""" db = DSTDatabase() - + # Check if experiment exists if not db.get_experiment(experiment_id): raise HTTPException(status_code=404, detail="Experiment not found") - + # Delete from database (cascades to datasets and panels) db.delete_experiment(experiment_id) - + return None diff --git a/dst_dashboard/api/panels.py b/dst_dashboard/api/panels.py index 6d835c3f..60aca106 100644 --- a/dst_dashboard/api/panels.py +++ b/dst_dashboard/api/panels.py @@ -14,147 +14,138 @@ @router.get("") -def get_all_panels( - experiment_id: str, - request: Request -) -> Dict[str, Any]: +def get_all_panels(experiment_id: str, request: Request) -> Dict[str, Any]: """Get all panels for an experiment with their rendered visualizations.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Get panel processor to transform data on-demand from dst_dashboard.api.utils import get_panel_processor + processor = get_panel_processor(request) - + # Get stored panel data from database rendered_panels = [] for panel_config in experiment.panels: # Get pre-processed panel from database panel_data = processor.db.get_panel_data(experiment_id, panel_config.name) - + if panel_data: - rendered_panels.append({ - "panel_name": panel_config.name, - "panel_title": panel_config.title, - "panel_type": panel_config.type, - "dataset": panel_config.dataset, - "option": panel_data - }) + rendered_panels.append( + { + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "dataset": panel_config.dataset, + "option": panel_data, + } + ) else: - logger.warning(f"Panel '{panel_config.name}' not found in database, may need reprocessing") - rendered_panels.append({ - "panel_name": panel_config.name, - "panel_title": panel_config.title, - "panel_type": panel_config.type, - "dataset": panel_config.dataset, - "error": "Panel not preprocessed" - }) - - return { - "experiment_id": experiment_id, - "panels": rendered_panels - } + logger.warning( + f"Panel '{panel_config.name}' not found in database, may need reprocessing" + ) + rendered_panels.append( + { + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "dataset": panel_config.dataset, + "error": "Panel not preprocessed", + } + ) + + return {"experiment_id": experiment_id, "panels": rendered_panels} @router.get("/by-dataset/{dataset_name}") def get_panels_by_dataset( - experiment_id: str, - dataset_name: str, - request: Request + experiment_id: str, dataset_name: str, request: Request ) -> Dict[str, Any]: """Get all preprocessed panels that use a specific dataset.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Filter panels by dataset matching_panels = [p for p in experiment.panels if p.dataset == dataset_name] - + if not matching_panels: - return { - "experiment_id": experiment_id, - "dataset_name": dataset_name, - "panels": [] - } - + return {"experiment_id": experiment_id, "dataset_name": dataset_name, "panels": []} + # Retrieve preprocessed panels from database rendered_panels = [] for panel_config in matching_panels: panel_data = db.get_panel_data(experiment_id, panel_config.name) - + if panel_data is not None: - rendered_panels.append({ - "panel_name": panel_config.name, - "panel_title": panel_config.title, - "panel_type": panel_config.type, - "option": panel_data - }) + rendered_panels.append( + { + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "option": panel_data, + } + ) else: - rendered_panels.append({ - "panel_name": panel_config.name, - "panel_title": panel_config.title, - "panel_type": panel_config.type, - "error": "Panel data not found in database. Please reprocess the experiment." - }) - - return { - "experiment_id": experiment_id, - "dataset_name": dataset_name, - "panels": rendered_panels - } + rendered_panels.append( + { + "panel_name": panel_config.name, + "panel_title": panel_config.title, + "panel_type": panel_config.type, + "error": "Panel data not found in database. Please reprocess the experiment.", + } + ) + + return {"experiment_id": experiment_id, "dataset_name": dataset_name, "panels": rendered_panels} @router.get("/{panel_name}") -def get_panel( - experiment_id: str, - panel_name: str, - request: Request -) -> Dict[str, Any]: +def get_panel(experiment_id: str, panel_name: str, request: Request) -> Dict[str, Any]: """Get a preprocessed panel with its rendered ECharts option.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Find panel config panel_config = None for panel in experiment.panels: if panel.name == panel_name: panel_config = panel break - + if panel_config is None: raise HTTPException(status_code=404, detail="Panel not found") - + # Get preprocessed panel data from database panel_data = db.get_panel_data(experiment_id, panel_name) - + if panel_data is None: raise HTTPException( status_code=404, - detail="Panel data not found in database. Please reprocess the experiment." + detail="Panel data not found in database. Please reprocess the experiment.", ) - + return { "panel_name": panel_name, "panel_title": panel_config.title, "panel_type": panel_config.type, - "option": panel_data + "option": panel_data, } @@ -167,31 +158,31 @@ def delete_panel( ): """Delete a panel.""" db = DSTDatabase() - + # Get experiment from database experiment_data = db.get_experiment(experiment_id) if experiment_data is None: raise HTTPException(status_code=404, detail="Experiment not found") - + experiment = ExperimentConfig(**experiment_data) - + # Find panel panel_index = None for i, p in enumerate(experiment.panels): if p.name == panel_name: panel_index = i break - + if panel_index is None: raise HTTPException(status_code=404, detail="Panel not found") - + # Remove panel from experiment experiment.panels.pop(panel_index) - + # Update experiment in database db.store_experiment(experiment.model_dump()) - + # Delete cached panel data db.delete_panel(experiment_id, panel_name) - + return None diff --git a/dst_dashboard/auth.py b/dst_dashboard/auth.py index 12512875..fb6b2114 100644 --- a/dst_dashboard/auth.py +++ b/dst_dashboard/auth.py @@ -1,5 +1,4 @@ -"""JWT issuing and verification for admin (write) API access. -""" +"""JWT issuing and verification for admin (write) API access.""" import logging import time diff --git a/dst_dashboard/config/constants.py b/dst_dashboard/config/constants.py index 1815d651..4f6a4c38 100644 --- a/dst_dashboard/config/constants.py +++ b/dst_dashboard/config/constants.py @@ -10,6 +10,7 @@ # secret was never configured - never rely on this outside local dev. INSECURE_DEFAULT_JWT_SECRET = "dev-only-insecure-secret-change-me" + class Constants(StrEnum): """Constants used in DST dashboard application.""" diff --git a/dst_dashboard/config/data_structures.py b/dst_dashboard/config/data_structures.py index cdd41dcb..d6969d5e 100644 --- a/dst_dashboard/config/data_structures.py +++ b/dst_dashboard/config/data_structures.py @@ -6,12 +6,14 @@ class TimeRange(BaseModel): """Time range for data queries.""" + start: datetime end: datetime class DataSourceConfig(BaseModel): """Global datasource configuration.""" + name: str type: Literal["VictoriaLogs", "Prometheus"] url: str @@ -19,6 +21,7 @@ class DataSourceConfig(BaseModel): class DatasetQuery(BaseModel): """Query configuration for a dataset.""" + namespace: Optional[str] = None tracer: Optional[str] = None # For logs: nimlibp2p, kad_dht, waku pattern: Optional[str] = None # For logs: received, lookup, etc. @@ -28,12 +31,14 @@ class DatasetQuery(BaseModel): class SchemaField(BaseModel): """Schema field definition.""" + name: str type: Literal["datetime", "string", "float", "integer", "boolean"] class DatasetConfig(BaseModel): """Dataset configuration - raw data from datasources.""" + name: str datasource: str # References global datasource by name timeRange: TimeRange @@ -43,6 +48,7 @@ class DatasetConfig(BaseModel): class DeriveField(BaseModel): """Derived field transformation in panel.""" + name: str function: str # regex_match, aggregate, etc. field: str # Source field @@ -53,20 +59,24 @@ class DeriveField(BaseModel): class PanelTransform(BaseModel): """Panel transformation configuration.""" + derive: Optional[List[DeriveField]] = None groupBy: Optional[str] = None value: Optional[str] = None x: Optional[str] = None y: Optional[str] = None top: Optional[int] = None # Top N by average value - firstN: Optional[int] = None # First N items (no sorting) + firstN: Optional[int] = None # First N items (no sorting) class PanelStyle(BaseModel): """Panel style configuration.""" + yLabel: Optional[str] = None xLabel: Optional[str] = None - yUnit: Optional[Literal["bytes", "bytes/s", "bps", "ms", "seconds", "percent", "number"]] = None # Auto-format units + yUnit: Optional[Literal["bytes", "bytes/s", "bps", "ms", "seconds", "percent", "number"]] = ( + None # Auto-format units + ) yMin: Optional[float] = None yMax: Optional[float] = None @@ -78,7 +88,9 @@ class PanelConfig(BaseModel): dataset: str # References dataset by name transform: PanelTransform style: Optional[PanelStyle] = None - echarts_options: Optional[Dict[str, Any]] = None # Override ECharts options (colors, grid, etc.) + echarts_options: Optional[Dict[str, Any]] = ( + None # Override ECharts options (colors, grid, etc.) + ) publish: bool # Whether to show on UI diff --git a/dst_dashboard/main.py b/dst_dashboard/main.py index 5fb4594c..d9d925c7 100644 --- a/dst_dashboard/main.py +++ b/dst_dashboard/main.py @@ -10,8 +10,8 @@ logging.basicConfig( level=logging.DEBUG, - format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', - handlers=[logging.StreamHandler()] + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + handlers=[logging.StreamHandler()], ) logger = logging.getLogger(__name__) @@ -82,4 +82,5 @@ def root(): if __name__ == "__main__": import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/dst_dashboard/processors/dataset_processor.py b/dst_dashboard/processors/dataset_processor.py index a6339323..b9e13d23 100644 --- a/dst_dashboard/processors/dataset_processor.py +++ b/dst_dashboard/processors/dataset_processor.py @@ -1,4 +1,5 @@ """Dataset processor - base class for fetching and processing datasets.""" + import logging import threading from typing import Any, Dict, List, Optional @@ -38,6 +39,7 @@ def _ensure_victorialogs_logging_initialized(): if _victorialogs_log_initialized: return from src.analysis.utils.log_utils import Config, apply_config + try: config = Config( logger_name="data_puller", @@ -56,7 +58,7 @@ def _ensure_victorialogs_logging_initialized(): class DatasetProcessor: """ Base processor for datasets - fetches data using DataPuller or scrape_utils. - + This is the base class in the processor hierarchy: ExperimentProcessor -> PanelProcessor -> DatasetProcessor """ @@ -77,22 +79,24 @@ def _get_experiment(self, experiment_id: str) -> Optional[ExperimentConfig]: return None return ExperimentConfig(**experiment_data) - def _apply_schema(self, data_rows: List[Dict[str, Any]], dataset_config: DatasetConfig) -> List[Dict[str, Any]]: + def _apply_schema( + self, data_rows: List[Dict[str, Any]], dataset_config: DatasetConfig + ) -> List[Dict[str, Any]]: """Apply schema to data rows - filter fields and apply type conversions.""" if not dataset_config.schema: return data_rows - + schema_fields = {field.name: field.type for field in dataset_config.schema} filtered_rows = [] - + for row in data_rows: filtered_row = {} for field_name, field_type in schema_fields.items(): if field_name not in row: continue - + value = row[field_name] - + # Apply type conversions try: if field_type == "datetime": @@ -104,15 +108,15 @@ def _apply_schema(self, data_rows: List[Dict[str, Any]], dataset_config: Dataset value = int(value) elif field_type == "string": value = str(value) - + filtered_row[field_name] = value except (ValueError, TypeError) as e: logger.warning(f"Failed to convert field '{field_name}' to {field_type}: {e}") continue - + if filtered_row: # Only add if we have at least some fields filtered_rows.append(filtered_row) - + return filtered_rows def fetch_dataset( @@ -146,7 +150,7 @@ def _get_tracer_for_dataset(self, dataset_config: DatasetConfig): """Create the appropriate tracer based on dataset configuration.""" tracer_type = dataset_config.query.tracer pattern = dataset_config.query.pattern - + # Extract kubernetes fields from schema that need to be fetched as extra_fields extra_fields = [] for field in dataset_config.schema: @@ -159,14 +163,15 @@ def _get_tracer_for_dataset(self, dataset_config: DatasetConfig): extra_fields.append("kubernetes.container_name") elif field.name.startswith("kubernetes."): extra_fields.append(field.name) - + if tracer_type == "nimlibp2p": from src.analysis.mesh_analysis.readers.tracers.nimlibp2p_tracer import Nimlibp2pTracer + tracer = Nimlibp2pTracer() - + if extra_fields: tracer = tracer.with_extra_fields(extra_fields) - + # Use specific pattern if provided if pattern == "received": tracer = tracer.with_received_pattern_group() @@ -175,11 +180,11 @@ def _get_tracer_for_dataset(self, dataset_config: DatasetConfig): else: # Default to received for message delay analysis tracer = tracer.with_received_pattern_group() - + return tracer else: # Fallback to generic MessageTracer - + tracer = MessageTracer() if pattern: tracer.with_wildcard_pattern() @@ -188,7 +193,10 @@ def _get_tracer_for_dataset(self, dataset_config: DatasetConfig): return tracer def _fetch_from_victorialogs( - self, dataset_config: DatasetConfig, datasource: DataSourceConfig, experiment: ExperimentConfig + self, + dataset_config: DatasetConfig, + datasource: DataSourceConfig, + experiment: ExperimentConfig, ) -> List[Dict[str, Any]]: """Fetch logs from VictoriaLogs using DataPuller.""" logger.info(f"Fetching dataset '{dataset_config.name}' from VictoriaLogs") @@ -196,7 +204,7 @@ def _fetch_from_victorialogs( # Get statefulsets and nodes from experiment metadata stateful_sets = experiment.metadata.get("statefulsets", []) nodes_per_ss = experiment.metadata.get("nodes", []) - + if not stateful_sets or not nodes_per_ss: logger.warning( f"Experiment '{experiment.id}' missing statefulsets or nodes in metadata - returning empty dataset" @@ -225,13 +233,15 @@ def _fetch_from_victorialogs( try: logger.debug(f"DataPuller kwargs: {kwargs}") - logger.debug(f"Fetching with stateful_sets={stateful_sets}, nodes_per_ss={nodes_per_ss}") - + logger.debug( + f"Fetching with stateful_sets={stateful_sets}, nodes_per_ss={nodes_per_ss}" + ) + # Fetch dataframes from VictoriaLogs results = data_puller.get_all_node_dataframes(tracer, stateful_sets, nodes_per_ss) - + logger.debug(f"DataPuller returned {len(results)} result dicts") - + # Convert results to standard format data_rows = [] for idx, result_dict in enumerate(results): @@ -241,9 +251,11 @@ def _fetch_from_victorialogs( for df_idx, df in enumerate(df_list): if isinstance(df, pd.DataFrame): if not df.empty: - logger.debug(f"DataFrame {df_idx} shape: {df.shape}, columns: {list(df.columns)}") + logger.debug( + f"DataFrame {df_idx} shape: {df.shape}, columns: {list(df.columns)}" + ) # Convert DataFrame to list of dicts - df_dict = df.reset_index().to_dict(orient='records') + df_dict = df.reset_index().to_dict(orient="records") data_rows.extend(df_dict) else: logger.debug(f"DataFrame {df_idx} is empty") @@ -258,9 +270,9 @@ def _fetch_from_victorialogs( logger.warning(f"List contains non-dict items: {type(df[0])}") else: logger.warning(f"Result is not a DataFrame or list: {type(df)}") - + logger.info(f"Converted {len(data_rows)} raw rows from VictoriaLogs") - + # Normalize kubernetes.* field names (e.g., kubernetes.pod_name -> pod_name) normalized_rows = [] for row in data_rows: @@ -273,24 +285,27 @@ def _fetch_from_victorialogs( else: normalized_row[key] = value normalized_rows.append(normalized_row) - + logger.debug(f"Normalized {len(normalized_rows)} rows (renamed kubernetes.* fields)") - + # Apply schema filtering and type conversions filtered_rows = self._apply_schema(normalized_rows, dataset_config) - + logger.info( f"Fetched {len(data_rows)} rows from VictoriaLogs, " f"{len(filtered_rows)} rows after schema filtering for dataset '{dataset_config.name}'" ) return filtered_rows - + except Exception as e: logger.error(f"Error fetching from VictoriaLogs: {e}", exc_info=True) return [] def _fetch_from_prometheus( - self, dataset_config: DatasetConfig, datasource: DataSourceConfig, experiment: ExperimentConfig + self, + dataset_config: DatasetConfig, + datasource: DataSourceConfig, + experiment: ExperimentConfig, ) -> List[Dict[str, Any]]: """Fetch metrics from Prometheus using direct query.""" logger.info(f"Fetching dataset '{dataset_config.name}' from Prometheus") @@ -302,7 +317,7 @@ def _fetch_from_prometheus( # Parse step to integer (remove 's' suffix if present) step = dataset_config.query.step or "15s" - step_value = int(step.rstrip('s')) + step_value = int(step.rstrip("s")) # Create PromQL query URL promql_url = scrape_utils.create_promql( @@ -310,7 +325,7 @@ def _fetch_from_prometheus( dataset_config.query.expr, dataset_config.timeRange.start, dataset_config.timeRange.end, - step_value + step_value, ) logger.debug(f"Prometheus query URL: {promql_url}") @@ -318,40 +333,42 @@ def _fetch_from_prometheus( try: # Execute query result = scrape_utils.get_query_data(promql_url) - + match result: case Ok(data): - logger.info(f"Successfully fetched data from Prometheus for dataset '{dataset_config.name}'") - + logger.info( + f"Successfully fetched data from Prometheus for dataset '{dataset_config.name}'" + ) + # Convert Prometheus response to standard format data_rows = [] for series in data["data"]["result"]: metric_labels = series.get("metric", {}) values = series.get("values", []) - + for timestamp, value in values: # Build row with timestamp, value, and all metric labels row = { - "timestamp": pd.to_datetime(timestamp, unit='s'), + "timestamp": pd.to_datetime(timestamp, unit="s"), "value": float(value), } # Add all metric labels as potential fields row.update(metric_labels) data_rows.append(row) - + # Apply schema filtering and type conversions filtered_rows = self._apply_schema(data_rows, dataset_config) - + logger.info( f"Fetched {len(data_rows)} rows from Prometheus, " f"{len(filtered_rows)} rows after schema filtering for dataset '{dataset_config.name}'" ) return filtered_rows - + case Err(error): logger.error(f"Prometheus query error: {error}") return [] - + except Exception as e: logger.error(f"Error fetching from Prometheus: {e}") return [] diff --git a/dst_dashboard/processors/experiment_processor.py b/dst_dashboard/processors/experiment_processor.py index ea995471..e5f278a4 100644 --- a/dst_dashboard/processors/experiment_processor.py +++ b/dst_dashboard/processors/experiment_processor.py @@ -1,4 +1,5 @@ """Experiment processor - processes complete experiments with datasets and panels.""" + import logging from concurrent.futures import ThreadPoolExecutor, as_completed @@ -29,14 +30,10 @@ def _ensure_experiment_id(self, experiment: ExperimentConfig) -> str: generated_id = str(ObjectId()) logger.info(f"Generated ID for experiment '{experiment.title}': {generated_id}") experiment.id = generated_id - + return experiment.id - def process_dataset( - self, - experiment_id: str, - dataset_config: DatasetConfig - ) -> bool: + def process_dataset(self, experiment_id: str, dataset_config: DatasetConfig) -> bool: """Process a single dataset - fetch and store if needed. Returns True on success.""" logger.info(f"Processing dataset: {dataset_config.name}") @@ -46,12 +43,14 @@ def process_dataset( f"Dataset '{dataset_config.name}' already exists with {len(existing_data)} rows, skipping fetch" ) return True - + # Fetch and store dataset try: - logger.info(f"Fetching dataset '{dataset_config.name}' from {dataset_config.datasource}") + logger.info( + f"Fetching dataset '{dataset_config.name}' from {dataset_config.datasource}" + ) data = self.fetch_dataset(experiment_id, dataset_config) - + if data: self.db.store_dataset(experiment_id, dataset_config.name, data) logger.info(f"Stored {len(data)} rows for dataset '{dataset_config.name}'") @@ -61,7 +60,7 @@ def process_dataset( # Store empty dataset to mark it as attempted self.db.store_dataset(experiment_id, dataset_config.name, []) return False - + except Exception as e: logger.error(f"Failed to fetch dataset '{dataset_config.name}': {e}") # Store empty dataset to mark it as processed but failed @@ -69,9 +68,7 @@ def process_dataset( return False def process_experiment_datasets( - self, - experiment: ExperimentConfig, - max_workers: int = 4 + self, experiment: ExperimentConfig, max_workers: int = 4 ) -> int: """Process all datasets for an experiment concurrently (fetches are I/O-bound). Returns the number processed successfully.""" if not experiment.datasets: @@ -96,7 +93,8 @@ def process_experiment_datasets( success_count += 1 except Exception: logger.error( - f"Dataset '{dataset_config.name}' processing raised unexpectedly", exc_info=True + f"Dataset '{dataset_config.name}' processing raised unexpectedly", + exc_info=True, ) return success_count @@ -104,26 +102,30 @@ def process_experiment_datasets( def process_experiment(self, experiment: ExperimentConfig) -> str: """Process a complete experiment - store it, fetch datasets, store panels. Returns the experiment ID.""" experiment_id = self._ensure_experiment_id(experiment) - + logger.info(f"Processing experiment: {experiment_id} - {experiment.title}") - + # 1. Store experiment in database experiment_dict = experiment.model_dump() existing_exp = self.db.get_experiment(experiment_id) - + if existing_exp: logger.info(f"Experiment '{experiment_id}' already exists in database, updating...") else: logger.info(f"Storing new experiment '{experiment_id}' in database") - + self.db.store_experiment(experiment_dict) - + # 2. Process datasets (datasets depend on datasources) dataset_count = self.process_experiment_datasets(experiment) - logger.info(f"Processed {dataset_count}/{len(experiment.datasets)} datasets for experiment '{experiment_id}'") - + logger.info( + f"Processed {dataset_count}/{len(experiment.datasets)} datasets for experiment '{experiment_id}'" + ) + # 3. Process panels (panels depend on datasets) panel_count = self.process_experiment_panels(experiment) - logger.info(f"Processed {panel_count}/{len(experiment.panels)} panels for experiment '{experiment_id}'") - + logger.info( + f"Processed {panel_count}/{len(experiment.panels)} panels for experiment '{experiment_id}'" + ) + return experiment_id diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py index 1285a789..0b15a157 100644 --- a/dst_dashboard/processors/panel_processor.py +++ b/dst_dashboard/processors/panel_processor.py @@ -1,4 +1,5 @@ """Panel processor - processes panel configurations and transformations.""" + import logging import re from collections import defaultdict @@ -16,20 +17,20 @@ def deep_merge(base: Dict, override: Dict) -> Dict: """Deep merge two dictionaries. Override values take precedence.""" result = deepcopy(base) - + for key, value in override.items(): if key in result and isinstance(result[key], dict) and isinstance(value, dict): result[key] = deep_merge(result[key], value) else: result[key] = deepcopy(value) - + return result class PanelProcessor(DatasetProcessor): """ Panel processor - inherits from DatasetProcessor. - + Processes panel configurations, transforms data, and generates ECharts-ready specs. Hierarchy: ExperimentProcessor -> PanelProcessor -> DatasetProcessor """ @@ -37,21 +38,17 @@ class PanelProcessor(DatasetProcessor): def __init__(self, config: DashboardFullConfig, db: DSTDatabase): super().__init__(config, db) - def process_panel( - self, - experiment_id: str, - panel_config: PanelConfig - ) -> bool: + def process_panel(self, experiment_id: str, panel_config: PanelConfig) -> bool: """Process and store panel ECharts options. Returns True on success.""" logger.info(f"Processing panel: {panel_config.name}") - + # Verify that the dataset for this panel exists if not self.db.dataset_exists(experiment_id, panel_config.dataset): logger.warning( f"Panel '{panel_config.name}' references non-existent dataset '{panel_config.dataset}', skipping" ) return False - + try: # Generate and store ECharts options echarts_option = self.transform_panel_data(experiment_id, panel_config) @@ -62,11 +59,7 @@ def process_panel( logger.error(f"Failed to process panel '{panel_config.name}': {e}", exc_info=True) return False - def process_experiment_panels( - self, - experiment: ExperimentConfig, - max_workers: int = 4 - ) -> int: + def process_experiment_panels(self, experiment: ExperimentConfig, max_workers: int = 4) -> int: """Process all panels for an experiment concurrently. Returns the number processed successfully.""" if not experiment.panels: return 0 @@ -94,16 +87,18 @@ def process_experiment_panels( ) return success_count - - def _apply_derive_transformations(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> List[Dict[str, Any]]: + + def _apply_derive_transformations( + self, data: List[Dict[str, Any]], panel_config: PanelConfig + ) -> List[Dict[str, Any]]: """Apply derive transformations to create new fields.""" if not panel_config.transform or not panel_config.transform.derive: return data - + result = [] for row in data: new_row = row.copy() - + for derive in panel_config.transform.derive: if derive.function == "regex_match": # Apply regex pattern to field @@ -114,20 +109,22 @@ def _apply_derive_transformations(self, data: List[Dict[str, Any]], panel_config new_row[derive.name] = derive.no_match or "no_match" else: logger.warning(f"Unknown derive function: {derive.function}") - + result.append(new_row) - + return result - - def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> Dict[str, Any]: + + def _transform_to_boxplot( + self, data: List[Dict[str, Any]], panel_config: PanelConfig + ) -> Dict[str, Any]: """Transform data for ECharts boxplot visualization.""" transform = panel_config.transform group_by = transform.groupBy value_field = transform.value - + if not group_by or not value_field: raise ValueError("Boxplot requires 'groupBy' and 'value' in transform") - + # Group data by the groupBy field grouped_data = defaultdict(list) for row in data: @@ -135,7 +132,7 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC value = row.get(value_field) if value is not None: grouped_data[group_key].append(float(value)) - + # Apply top filter if specified - sort by average value if transform.top: # Calculate average for each group @@ -143,106 +140,83 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC for group_name, values in grouped_data.items(): avg_val = sum(values) / len(values) if values else 0 group_stats.append((group_name, avg_val, values)) - + # Sort by average value (descending) and take top N group_stats.sort(key=lambda x: x[1], reverse=True) - top_groups = group_stats[:transform.top] - + top_groups = group_stats[: transform.top] + # Rebuild grouped_data with only top groups grouped_data = {name: values for name, _, values in top_groups} - + # Sort categories and calculate boxplot stats categories = sorted(grouped_data.keys()) boxplot_data = [] - + for category in categories: values = sorted(grouped_data[category]) if not values: continue - + n = len(values) min_val = values[0] max_val = values[-1] median = values[n // 2] if n % 2 == 1 else (values[n // 2 - 1] + values[n // 2]) / 2 q1 = values[n // 4] q3 = values[3 * n // 4] - + # ECharts boxplot format: [min, Q1, median, Q3, max] boxplot_data.append([min_val, q1, median, q3, max_val]) - + # Build ECharts option option = { "backgroundColor": "transparent", "title": { "text": panel_config.title, "left": "center", - "textStyle": { - "color": "#152521" - } - }, - "tooltip": { - "trigger": "item", - "axisPointer": {"type": "shadow"} + "textStyle": {"color": "#152521"}, }, + "tooltip": {"trigger": "item", "axisPointer": {"type": "shadow"}}, "toolbox": { "feature": { "dataZoom": { "yAxisIndex": "none", - "title": {"zoom": "Area Zoom", "back": "Reset"} + "title": {"zoom": "Area Zoom", "back": "Reset"}, }, "restore": {"title": "Restore"}, - "saveAsImage": {"title": "Save"} + "saveAsImage": {"title": "Save"}, }, - "iconStyle": { - "borderColor": "#848e88" - }, - "emphasis": { - "iconStyle": { - "borderColor": "#00d4ff" - } - } + "iconStyle": {"borderColor": "#848e88"}, + "emphasis": {"iconStyle": {"borderColor": "#00d4ff"}}, }, "dataZoom": [ - { - "type": "inside", - "xAxisIndex": 0, - "filterMode": "none", - "disabled": False - } + {"type": "inside", "xAxisIndex": 0, "filterMode": "none", "disabled": False} ], - "grid": { - "left": "10%", - "right": "10%", - "bottom": "15%" - }, + "grid": {"left": "10%", "right": "10%", "bottom": "15%"}, "xAxis": { "type": "category", "data": categories, "boundaryGap": True, "splitArea": {"show": False}, "axisLabel": {"color": "#475651"}, - "axisLine": {"lineStyle": {"color": "#b8bdb8"}} + "axisLine": {"lineStyle": {"color": "#b8bdb8"}}, }, "yAxis": { "type": "value", "splitArea": {"show": False}, "axisLabel": {"color": "#475651"}, "axisLine": {"lineStyle": {"color": "#b8bdb8"}}, - "splitLine": {"lineStyle": {"color": "#eceee4"}} + "splitLine": {"lineStyle": {"color": "#eceee4"}}, }, "series": [ { "name": panel_config.title, "type": "boxplot", "data": boxplot_data, - "itemStyle": { - "borderColor": "#00d4ff", - "borderWidth": 1.5 - } + "itemStyle": {"borderColor": "#00d4ff", "borderWidth": 1.5}, } - ] + ], } - + # Add optional style configurations if panel_config.style: if panel_config.style.xLabel: @@ -253,39 +227,42 @@ def _transform_to_boxplot(self, data: List[Dict[str, Any]], panel_config: PanelC option["yAxis"]["min"] = panel_config.style.yMin if panel_config.style.yMax is not None: option["yAxis"]["max"] = panel_config.style.yMax - + # Merge user-provided ECharts options (if any) if panel_config.echarts_options: option = deep_merge(option, panel_config.echarts_options) - + return option - - def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: PanelConfig) -> Dict[str, Any]: + + def _transform_to_timeseries( + self, data: List[Dict[str, Any]], panel_config: PanelConfig + ) -> Dict[str, Any]: """Transform data for ECharts timeseries (line chart) visualization.""" transform = panel_config.transform x_field = transform.x y_field = transform.y - + if not x_field or not y_field: raise ValueError("Timeseries requires 'x' and 'y' in transform") - + # Group by a categorical field if groupBy is specified (for multi-series) if transform.groupBy: grouped_series = defaultdict(list) - + for row in data: group_key = row.get(transform.groupBy, "default") x_val = row.get(x_field) y_val = row.get(y_field) - + if x_val is not None and y_val is not None: # Convert datetime to ISO string for JSON serialization - x_val_serialized = x_val.isoformat() if hasattr(x_val, 'isoformat') else str(x_val) - grouped_series[group_key].append({ - "timestamp": x_val_serialized, - "value": float(y_val) - }) - + x_val_serialized = ( + x_val.isoformat() if hasattr(x_val, "isoformat") else str(x_val) + ) + grouped_series[group_key].append( + {"timestamp": x_val_serialized, "value": float(y_val)} + ) + # Apply top filter if specified (limit number of series) if transform.top: # Sort by average value to get most significant series @@ -293,84 +270,86 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan for group_name, points in grouped_series.items(): avg_val = sum(p["value"] for p in points) / len(points) if points else 0 series_stats.append((group_name, avg_val, points)) - + # Sort by average value (descending) and take top N series_stats.sort(key=lambda x: x[1], reverse=True) - top_series = dict((name, points) for name, _, points in series_stats[:transform.top]) + top_series = dict( + (name, points) for name, _, points in series_stats[: transform.top] + ) grouped_series = top_series elif transform.firstN: # Take first N series by name (no sorting by value) - sorted_names = sorted(grouped_series.keys())[:transform.firstN] + sorted_names = sorted(grouped_series.keys())[: transform.firstN] grouped_series = {name: grouped_series[name] for name in sorted_names} - + # Professional color palette - distinct and readable colors = [ - "#5470c6", "#91cc75", "#fac858", "#ee6666", "#73c0de", - "#3ba272", "#fc8452", "#9a60b4", "#ea7ccc", "#d4a5a5" + "#5470c6", + "#91cc75", + "#fac858", + "#ee6666", + "#73c0de", + "#3ba272", + "#fc8452", + "#9a60b4", + "#ea7ccc", + "#d4a5a5", ] - + # Build series for each group series = [] for idx, (group_name, points) in enumerate(sorted(grouped_series.items())): # Sort points by timestamp to ensure proper line drawing sorted_points = sorted(points, key=lambda p: p["timestamp"]) - + # Create [timestamp, value] pairs for ECharts - properly ordered data_pairs = [[p["timestamp"], p["value"]] for p in sorted_points] - + color = colors[idx % len(colors)] - series.append({ - "name": str(group_name), - "type": "line", - "data": data_pairs, - "smooth": False, - "sampling": "lttb", - "symbol": "none", - "connectNulls": False, # Don't connect gaps - "lineStyle": { - "width": 1.5, - "color": color - }, - "emphasis": { - "focus": "series", - "lineStyle": { - "width": 2.5 - } + series.append( + { + "name": str(group_name), + "type": "line", + "data": data_pairs, + "smooth": False, + "sampling": "lttb", + "symbol": "none", + "connectNulls": False, # Don't connect gaps + "lineStyle": {"width": 1.5, "color": color}, + "emphasis": {"focus": "series", "lineStyle": {"width": 2.5}}, } - }) + ) else: # Single series x_values = [] y_values = [] - + for row in data: x_val = row.get(x_field) y_val = row.get(y_field) - + if x_val is not None and y_val is not None: # Convert datetime to ISO string for JSON serialization - x_val_serialized = x_val.isoformat() if hasattr(x_val, 'isoformat') else str(x_val) + x_val_serialized = ( + x_val.isoformat() if hasattr(x_val, "isoformat") else str(x_val) + ) x_values.append(x_val_serialized) y_values.append(float(y_val)) - - series = [{ - "name": panel_config.title, - "type": "line", - "data": y_values, - "smooth": True, - "sampling": "lttb", - "symbol": "none", - "lineStyle": { - "width": 2, - "color": "#00d4ff" - }, - "areaStyle": { - "color": "#00d4ff", - "opacity": 0.15 + + series = [ + { + "name": panel_config.title, + "type": "line", + "data": y_values, + "smooth": True, + "sampling": "lttb", + "symbol": "none", + "lineStyle": {"width": 2, "color": "#00d4ff"}, + "areaStyle": {"color": "#00d4ff", "opacity": 0.15}, } - }] - + ] + # Build ECharts option option = { "backgroundColor": "transparent", @@ -378,123 +357,72 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan "text": panel_config.title, "left": "center", "top": 10, - "textStyle": { - "color": "#152521", - "fontSize": 16, - "fontWeight": "normal" - } + "textStyle": {"color": "#152521", "fontSize": 16, "fontWeight": "normal"}, }, "tooltip": { "trigger": "axis", "axisPointer": { "type": "line", - "lineStyle": { - "color": "#b8bdb8", - "type": "dashed" - } + "lineStyle": {"color": "#b8bdb8", "type": "dashed"}, }, "backgroundColor": "rgba(245, 245, 239, 0.95)", "borderColor": "#dbddd7", "borderWidth": 1, - "textStyle": { - "color": "#152521", - "fontSize": 12 - }, - "confine": True + "textStyle": {"color": "#152521", "fontSize": 12}, + "confine": True, }, "legend": { "type": "scroll", "data": [s["name"] for s in series], "bottom": 5, "left": "center", - "textStyle": { - "color": "#475651", - "fontSize": 11 - }, + "textStyle": {"color": "#475651", "fontSize": 11}, "pageIconColor": "#5470c6", "pageIconInactiveColor": "#dbddd7", - "pageTextStyle": { - "color": "#475651" - }, - "icon": "roundRect" + "pageTextStyle": {"color": "#475651"}, + "icon": "roundRect", }, "toolbox": { "show": True, "feature": { "dataZoom": { "yAxisIndex": "none", - "title": {"zoom": "Area Zoom", "back": "Reset"} + "title": {"zoom": "Area Zoom", "back": "Reset"}, }, "restore": {"title": "Restore"}, - "saveAsImage": {"title": "Save"} - }, - "iconStyle": { - "borderColor": "#848e88" - }, - "emphasis": { - "iconStyle": { - "borderColor": "#5470c6" - } + "saveAsImage": {"title": "Save"}, }, + "iconStyle": {"borderColor": "#848e88"}, + "emphasis": {"iconStyle": {"borderColor": "#5470c6"}}, "top": 10, - "right": 20 + "right": 20, }, - "dataZoom": [ - { - "type": "inside", - "xAxisIndex": 0, - "filterMode": "none" - } - ], + "dataZoom": [{"type": "inside", "xAxisIndex": 0, "filterMode": "none"}], "grid": { "left": "3%", "right": "4%", "bottom": "50px", "top": "60px", - "containLabel": True + "containLabel": True, }, "xAxis": { "type": "time", "boundaryGap": False, - "axisLabel": { - "color": "#475651", - "fontSize": 11, - "formatter": "{HH}:{mm}" - }, - "axisLine": { - "lineStyle": { - "color": "#b8bdb8" - } - }, - "axisTick": { - "show": False - }, - "splitLine": { - "show": False - } + "axisLabel": {"color": "#475651", "fontSize": 11, "formatter": "{HH}:{mm}"}, + "axisLine": {"lineStyle": {"color": "#b8bdb8"}}, + "axisTick": {"show": False}, + "splitLine": {"show": False}, }, "yAxis": { "type": "value", - "axisLabel": { - "color": "#475651", - "fontSize": 11 - }, - "axisLine": { - "show": False - }, - "axisTick": { - "show": False - }, - "splitLine": { - "lineStyle": { - "color": "#eceee4", - "type": "solid" - } - } + "axisLabel": {"color": "#475651", "fontSize": 11}, + "axisLine": {"show": False}, + "axisTick": {"show": False}, + "splitLine": {"lineStyle": {"color": "#eceee4", "type": "solid"}}, }, - "series": series + "series": series, } - + # Add optional style configurations if panel_config.style: if panel_config.style.xLabel: @@ -507,7 +435,7 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan option["yAxis"]["min"] = panel_config.style.yMin if panel_config.style.yMax is not None: option["yAxis"]["max"] = panel_config.style.yMax - + # Add auto-formatting based on unit type if panel_config.style.yUnit in ["bytes", "bytes/s", "bps"]: option["yAxis"]["axisLabel"]["formatter"] = "__BYTES_FORMATTER__" @@ -524,27 +452,24 @@ def _transform_to_timeseries(self, data: List[Dict[str, Any]], panel_config: Pan elif panel_config.style.yUnit == "number": option["yAxis"]["axisLabel"]["formatter"] = "__NUMBER_FORMATTER__" option["tooltip"]["valueFormatter"] = "__NUMBER_FORMATTER__" - + # Merge user-provided ECharts options (if any) if panel_config.echarts_options: option = deep_merge(option, panel_config.echarts_options) - + return option - + def transform_panel_data( - self, - experiment_id: str, - panel_config: PanelConfig, - viz_format: str = "echarts" + self, experiment_id: str, panel_config: PanelConfig, viz_format: str = "echarts" ) -> Dict[str, Any]: """Transform dataset for panel visualization into the requested viz_format.""" dataset = self.db.get_dataset(experiment_id, panel_config.dataset) if not dataset: raise ValueError(f"Dataset '{panel_config.dataset}' not found") - + # Apply derive transformations data = self._apply_derive_transformations(dataset, panel_config) - + # Route to appropriate transformer based on viz_format if viz_format == "echarts": return self._transform_to_echarts(data, panel_config) @@ -553,11 +478,9 @@ def transform_panel_data( raise NotImplementedError("Plotly transformation not yet implemented") else: raise ValueError(f"Unsupported visualization format: {viz_format}") - + def _transform_to_echarts( - self, - data: List[Dict[str, Any]], - panel_config: PanelConfig + self, data: List[Dict[str, Any]], panel_config: PanelConfig ) -> Dict[str, Any]: """Transform data to ECharts format based on panel type.""" if panel_config.type == "boxplot": @@ -572,11 +495,6 @@ def _transform_to_echarts( raise NotImplementedError("Bar chart transformation not yet implemented") elif panel_config.type == "table": # For tables, just return the data as-is - return { - "type": "table", - "title": panel_config.title, - "data": data - } + return {"type": "table", "title": panel_config.title, "data": data} else: raise ValueError(f"Unknown panel type: {panel_config.type}") - diff --git a/dst_dashboard/scripts/seed_experiments.py b/dst_dashboard/scripts/seed_experiments.py index 78c56e23..ccd2a32a 100644 --- a/dst_dashboard/scripts/seed_experiments.py +++ b/dst_dashboard/scripts/seed_experiments.py @@ -50,8 +50,11 @@ def main(): args = parser.parse_args() if not args.token: - print("Error: an admin token is required (--token or DST_ADMIN_TOKEN). " - "Get one from GET /admin/token.", file=sys.stderr) + print( + "Error: an admin token is required (--token or DST_ADMIN_TOKEN). " + "Get one from GET /admin/token.", + file=sys.stderr, + ) sys.exit(1) with open(args.seed_file, "r", encoding="utf-8") as f: diff --git a/dst_dashboard/storage/db.py b/dst_dashboard/storage/db.py index 0c203442..bd471dfc 100644 --- a/dst_dashboard/storage/db.py +++ b/dst_dashboard/storage/db.py @@ -79,9 +79,7 @@ def _ensure_indexes(self): def store_experiment(self, experiment: Dict[str, Any]) -> str: """Store experiment configuration. Returns the experiment ID.""" - self.experiments.update_one( - {"id": experiment["id"]}, {"$set": experiment}, upsert=True - ) + self.experiments.update_one({"id": experiment["id"]}, {"$set": experiment}, upsert=True) return experiment["id"] def get_experiment(self, experiment_id: str) -> Optional[Dict[str, Any]]: @@ -109,9 +107,7 @@ def store_dataset( ) return dataset_id - def get_dataset( - self, experiment_id: str, dataset_name: str - ) -> Optional[List[Dict[str, Any]]]: + def get_dataset(self, experiment_id: str, dataset_name: str) -> Optional[List[Dict[str, Any]]]: """Get dataset data.""" dataset_id = f"{experiment_id}:{dataset_name}" payload = self._download_gridfs_file(self.dataset_fs, dataset_id) @@ -131,9 +127,7 @@ def list_panels(self, experiment_id: str) -> List[Dict[str, Any]]: for doc in docs ] - def store_panel_data( - self, experiment_id: str, panel_name: str, data: Dict[str, Any] - ) -> str: + def store_panel_data(self, experiment_id: str, panel_name: str, data: Dict[str, Any]) -> str: """Store transformed panel data via GridFS. Returns the panel data ID.""" panel_id = f"{experiment_id}:{panel_name}" self._delete_gridfs_file(self.panel_fs, panel_id) @@ -144,9 +138,7 @@ def store_panel_data( ) return panel_id - def get_panel_data( - self, experiment_id: str, panel_name: str - ) -> Optional[Dict[str, Any]]: + def get_panel_data(self, experiment_id: str, panel_name: str) -> Optional[Dict[str, Any]]: """Get transformed panel data.""" panel_id = f"{experiment_id}:{panel_name}" payload = self._download_gridfs_file(self.panel_fs, panel_id) @@ -155,9 +147,7 @@ def get_panel_data( def insert_datasource(self, datasource: DataSourceConfig) -> DataSourceConfig: """Store datasource configuration.""" data = datasource.model_dump() - self.datasources.update_one( - {"name": data["name"]}, {"$set": data}, upsert=True - ) + self.datasources.update_one({"name": data["name"]}, {"$set": data}, upsert=True) return datasource def insert_datasource_list(self, datasources: List[DataSourceConfig]) -> List[DataSourceConfig]: @@ -171,7 +161,9 @@ def dataset_exists(self, experiment_id: str, dataset_name: str) -> bool: dataset_id = f"{experiment_id}:{dataset_name}" return self.db["datasets.files"].find_one({"filename": dataset_id}, {"_id": 1}) is not None - def get_dataset_metadata(self, experiment_id: str, dataset_name: str) -> Optional[Dict[str, Any]]: + def get_dataset_metadata( + self, experiment_id: str, dataset_name: str + ) -> Optional[Dict[str, Any]]: """Get dataset metadata without data rows.""" dataset_id = f"{experiment_id}:{dataset_name}" doc = self.db["datasets.files"].find_one( From 15031f1dd41186f86551b38b8357fc491c18d287 Mon Sep 17 00:00:00 2001 From: Mamoutou Diarra Date: Sun, 12 Jul 2026 12:52:42 +0200 Subject: [PATCH 7/7] modify example --- dst_dashboard/scripts/seed_data/experiments.json | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/dst_dashboard/scripts/seed_data/experiments.json b/dst_dashboard/scripts/seed_data/experiments.json index 12957ec9..6cc7977f 100644 --- a/dst_dashboard/scripts/seed_data/experiments.json +++ b/dst_dashboard/scripts/seed_data/experiments.json @@ -109,7 +109,8 @@ "publish": true, "transform": { "x": "timestamp", - "y": "value" + "y": "value", + "groupBy": "pod" }, "style": { "yLabel": "Drops/sec"