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 new file mode 100644 index 00000000..6447d33c --- /dev/null +++ b/dst_dashboard/README.md @@ -0,0 +1,90 @@ +# 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 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 +├── 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/__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/admin.py b/dst_dashboard/api/admin.py new file mode 100644 index 00000000..d5fedf81 --- /dev/null +++ b/dst_dashboard/api/admin.py @@ -0,0 +1,157 @@ +"""Admin API routes for configuration and data management.""" + +import logging +from pathlib import Path + +from fastapi import APIRouter, Depends, HTTPException, Request +from fastapi.responses import HTMLResponse + +from dst_dashboard.auth import create_admin_token, require_admin_token +from dst_dashboard.config.utils import LoadConfig +from dst_dashboard.processors.experiment_processor import ExperimentProcessor +from dst_dashboard.storage.db import DSTDatabase + +router = APIRouter(prefix="/admin", tags=["admin"]) +logger = logging.getLogger(__name__) + +_ADMIN_HTML_PATH = Path(__file__).parent.parent / "static" / "admin.html" + + +@router.post("/reload") +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") + + # 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") + + return { + "status": "success", + "message": "Datasources reloaded successfully", + "summary": { + "datasources": len(config.datasources), + }, + } + + 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}") +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() + + 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", + } + 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") +def clear_all_datasets(_: None = Depends(require_admin_token)): + """Clear all cached dataset data to force re-fetch.""" + try: + db = DSTDatabase() + count = db.clear_all_dataset_cache() + + logger.info(f"Cleared {count} datasets") + + 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)}") + + +@router.post("/experiments/{experiment_id}/reprocess") +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", + "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)}") + + +@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 new file mode 100644 index 00000000..d9d06ab5 --- /dev/null +++ b/dst_dashboard/api/datasets.py @@ -0,0 +1,151 @@ +"""Dataset API routes.""" + +from fastapi import APIRouter, Depends, HTTPException, Request + +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"]) + + +@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} + + +@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 +): + """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)}") + + +@router.delete("/{dataset_name}", status_code=204) +def delete_dataset( + experiment_id: str, + dataset_name: str, + request: Request, + _: None = Depends(require_admin_token), +): + """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..fe2f162c --- /dev/null +++ b/dst_dashboard/api/datasources.py @@ -0,0 +1,58 @@ +"""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"]) + + +@router.get("", response_model=List[DataSourceConfig]) +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]) +def list_prometheus_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]) +def list_victorialogs_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) +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 new file mode 100644 index 00000000..cc60445a --- /dev/null +++ b/dst_dashboard/api/experiments.py @@ -0,0 +1,209 @@ +from typing import Any, Dict, List, Optional + +from bson import ObjectId +from fastapi import APIRouter, Depends, HTTPException, Query, Request + +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"]) + + +@router.get("/families") +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]) +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] + + if publish is not None: + experiments = [experiment for experiment in experiments if experiment.publish == publish] + + return experiments + + +@router.get("/{experiment_id}", response_model=ExperimentConfig) +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) +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() + + # 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()) + + # 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) +def update_experiment( + experiment_id: str, + experiment: ExperimentConfig, + request: Request, + _: None = Depends(require_admin_token), +): + """ + 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() + + # 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 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) +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 new file mode 100644 index 00000000..60aca106 --- /dev/null +++ b/dst_dashboard/api/panels.py @@ -0,0 +1,188 @@ +"""Panel API routes.""" + +import logging +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 + +router = APIRouter(prefix="/experiments/{experiment_id}/panels", tags=["panels"]) +logger = logging.getLogger(__name__) + + +@router.get("") +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, + } + ) + 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}") +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.""" + 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}") +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.", + ) + + 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) +def delete_panel( + experiment_id: str, + panel_name: str, + request: Request, + _: None = Depends(require_admin_token), +): + """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/utils.py b/dst_dashboard/api/utils.py new file mode 100644 index 00000000..ae23d6ac --- /dev/null +++ b/dst_dashboard/api/utils.py @@ -0,0 +1,29 @@ +"""Utility functions for API routes.""" + +import logging + +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: + """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") + db = DSTDatabase() + return ExperimentProcessor(config, db) + + +def get_panel_processor(request: Request) -> PanelProcessor: + """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) diff --git a/dst_dashboard/auth.py b/dst_dashboard/auth.py new file mode 100644 index 00000000..fb6b2114 --- /dev/null +++ b/dst_dashboard/auth.py @@ -0,0 +1,56 @@ +"""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 INSECURE_DEFAULT_JWT_SECRET, Constants + +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/__init__.py b/dst_dashboard/config/__init__.py new file mode 100644 index 00000000..8b137891 --- /dev/null +++ b/dst_dashboard/config/__init__.py @@ -0,0 +1 @@ + diff --git a/dst_dashboard/config/constants.py b/dst_dashboard/config/constants.py new file mode 100644 index 00000000..4f6a4c38 --- /dev/null +++ b/dst_dashboard/config/constants.py @@ -0,0 +1,36 @@ +import os +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" +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.""" + + DST_CONFIG_PATH = os.environ.get( + "DST_CONFIG_PATH", + str(DEFAULT_CONFIG_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 new file mode 100644 index 00000000..d6969d5e --- /dev/null +++ b/dst_dashboard/config/data_structures.py @@ -0,0 +1,125 @@ +from datetime import datetime +from typing import Any, Dict, List, Literal, Optional + +from pydantic import BaseModel + + +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 # 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[Literal["bytes", "bytes/s", "bps", "ms", "seconds", "percent", "number"]] = ( + None # Auto-format units + ) + 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 + echarts_options: Optional[Dict[str, Any]] = ( + None # Override ECharts options (colors, grid, etc.) + ) + publish: bool # Whether to show on UI + + +class ExperimentConfig(BaseModel): + id: Optional[str] = None # Server-assigned on create; ignored if sent by the client + 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] + + 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..55002062 --- /dev/null +++ b/dst_dashboard/config/utils.py @@ -0,0 +1,13 @@ +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..cd8c7241 --- /dev/null +++ b/dst_dashboard/frontend/Dockerfile @@ -0,0 +1,49 @@ +# 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). +# 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 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 +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..be9d7b2a --- /dev/null +++ b/dst_dashboard/frontend/package-lock.json @@ -0,0 +1,18930 @@ +{ + "name": "dst-dashboard", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "dst-dashboard", + "version": "0.1.0", + "dependencies": { + "@testing-library/jest-dom": "^5.17.0", + 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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", + "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 new file mode 100644 index 00000000..0a9c6470 --- /dev/null +++ b/dst_dashboard/frontend/public/index.html @@ -0,0 +1,26 @@ + + + + + + + + + + + + + + DST Dashboard + + + + +
+ + + \ No newline at end of file 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.js b/dst_dashboard/frontend/src/App.js new file mode 100644 index 00000000..65062ddd --- /dev/null +++ b/dst_dashboard/frontend/src/App.js @@ -0,0 +1,43 @@ +import React, { Suspense, lazy } from 'react'; +import { BrowserRouter as Router, Routes, Route } from 'react-router-dom'; +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 ( + + +
+ +
+ }> + + } /> + } /> + } /> + } + /> + } + /> + + +
+
+ + + ); +} + +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 ( + + ); +} + +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/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/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 new file mode 100644 index 00000000..f40d4981 --- /dev/null +++ b/dst_dashboard/frontend/src/index.css @@ -0,0 +1,24 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +body { + margin: 0; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; + transition: background-color 0.2s ease, color 0.2s ease; +} + +[data-theme="dst"] { + --content-secondary: #475651; + --content-tertiary: #848e88; +} + +[data-theme="dst-dark"] { + --content-secondary: #b8bdb8; + --content-tertiary: #848e88; +} + +code { + font-family: 'DM Mono', Menlo, Monaco, Consolas, 'Courier New', monospace; +} 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/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 new file mode 100644 index 00000000..7ab25d99 --- /dev/null +++ b/dst_dashboard/frontend/src/pages/ExperimentPage.js @@ -0,0 +1,113 @@ +import React, { useState, useEffect } from 'react'; +import { useParams, Link } from 'react-router-dom'; +import axios from 'axios'; +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 [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + + useEffect(() => { + axios + .get(`${API_BASE_URL}/experiments/${experimentId}`) + .then((res) => { + setExperiment(res.data); + setLoading(false); + }) + .catch((err) => { + setError(err.message); + setLoading(false); + }); + }, [experimentId]); + + if (loading) { + return
Loading experiment...
; + } + + if (error) { + return ( +
+
Error: {error}
+
+ ); + } + + return ( +
+
+
+ + ← 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.panels.map((panelMeta) => ( + + ))} +
+
+
+ ); +} + +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/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 new file mode 100644 index 00000000..4557ab88 --- /dev/null +++ b/dst_dashboard/frontend/src/pages/HomePage.js @@ -0,0 +1,65 @@ +import React, { useState, useEffect } from 'react'; +import { Link } from 'react-router-dom'; +import axios from 'axios'; +import { API_BASE_URL } from '../config'; + +function HomePage() { + const [stats, setStats] = useState({ totalExperiments: 0, totalFamilies: 0 }); + + useEffect(() => { + axios + .get(`${API_BASE_URL}/experiments/families`) + .then((res) => { + setStats({ + totalExperiments: res.data?.total_experiments || 0, + totalFamilies: res.data?.total_families || 0, + }); + }) + .catch(() => {}); + }, []); + + return ( +
+ {/* 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 + + + + +
+
+ + {/* Stats bar */} +
+
+
+ +
{stats.totalExperiments}
+
Experiments
+
+
+
+ +
{stats.totalFamilies}
+
Projects
+
+
+
+
+ ); +} + +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/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/k8s/backend.yaml b/dst_dashboard/k8s/backend.yaml new file mode 100644 index 00000000..4019d83a --- /dev/null +++ b/dst_dashboard/k8s/backend.yaml @@ -0,0 +1,155 @@ +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: http://vlc-victoria-logs-cluster-vlselect.victorialogs:9471/select/logsql/query + + - name: victoria-metrics + type: Prometheus + url: http://vmselect-vmks-victoria-metrics-k8s-stack.vmetrics:8481/select/0/prometheus/api/v1/ +--- +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: + 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:v0.5 + imagePullPolicy: IfNotPresent + ports: + - containerPort: 8000 + name: http + env: + - 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: config + mountPath: /app/config + readOnly: true + resources: + requests: + memory: "4Gi" + cpu: "4" + limits: + memory: "16Gi" + cpu: "8" + volumes: + - 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.dashboard.lab.vac.dev + secretName: dashboard-backend-tls + rules: + - host: api.dashboard.lab.vac.dev + http: + paths: + - path: / + pathType: Prefix + backend: + service: + 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 new file mode 100644 index 00000000..ebf1fdcf --- /dev/null +++ b/dst_dashboard/k8s/frontend.yaml @@ -0,0 +1,84 @@ +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: + 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:v0.5 + 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: + - dashboard.lab.vac.dev + secretName: dashboard-frontend-tls + rules: + - host: dashboard.lab.vac.dev + http: + paths: + - path: / + pathType: Prefix + backend: + service: + name: dst-dashboard-frontend + port: + number: 80 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 new file mode 100644 index 00000000..d9d925c7 --- /dev/null +++ b/dst_dashboard/main.py @@ -0,0 +1,86 @@ +import logging +import sys + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware + +from dst_dashboard.api import admin, datasets, datasources, experiments, panels +from dst_dashboard.config.utils import LoadConfig +from dst_dashboard.storage.db import DSTDatabase + +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", + description="REST API for DST Dashboard", + version="0.1.0", + docs_url="/api/docs", + redoc_url="/api/redoc", + openapi_url="/api/openapi.json", +) + + +@app.on_event("startup") +def on_startup(): + """ + Initialize application on startup. + + 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 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") + + 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) + + +# Enable CORS for frontend +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# 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) + + +@app.get("/") +def root(): + return { + "service": "DST Dashboard API", + "version": "0.1.0", + "docs": "/api/docs", + } + + +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..b9e13d23 --- /dev/null +++ b/dst_dashboard/processors/dataset_processor.py @@ -0,0 +1,374 @@ +"""Dataset processor - base class for fetching and processing datasets.""" + +import logging +import threading +from typing import Any, Dict, List, Optional + +import pandas as pd +from result import Err, Ok + +from dst_dashboard.config.data_structures import ( + DashboardFullConfig, + DatasetConfig, + DataSourceConfig, + ExperimentConfig, +) +from dst_dashboard.storage.db import DSTDatabase +from src.analysis.mesh_analysis.analyzers.data_puller import DataPuller +from src.analysis.mesh_analysis.readers.tracers.message_tracer import MessageTracer +from src.analysis.metrics import scrape_utils + +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 Config, apply_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: + """ + 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): + 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. 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.""" + 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 the appropriate fetcher based on datasource type.""" + datasource = self._get_datasource(dataset_config.datasource) + if not datasource: + raise ValueError( + f"Datasource '{dataset_config.datasource}' not found for dataset '{dataset_config.name}'" + ) + + experiment = self._get_experiment(experiment_id) + if not experiment: + raise ValueError(f"Experiment '{experiment_id}' not found") + + 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): + """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: + # 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) + + _ensure_victorialogs_logging_initialized() + + # 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..e5f278a4 --- /dev/null +++ b/dst_dashboard/processors/experiment_processor.py @@ -0,0 +1,131 @@ +"""Experiment processor - processes complete experiments with datasets and panels.""" + +import logging +from concurrent.futures import ThreadPoolExecutor, as_completed + +from bson import ObjectId + +from dst_dashboard.config.data_structures import ( + DashboardFullConfig, + DatasetConfig, + ExperimentConfig, +) +from dst_dashboard.processors.panel_processor import PanelProcessor +from dst_dashboard.storage.db import DSTDatabase + +logger = logging.getLogger(__name__) + + +class ExperimentProcessor(PanelProcessor): + """ + Experiment processor - top-level processor. + """ + + def __init__(self, config: DashboardFullConfig, db: DSTDatabase): + super().__init__(config, db) + + def _ensure_experiment_id(self, experiment: ExperimentConfig) -> str: + """Ensure experiment has a valid ID, generating one (Mongo ObjectId-style) if missing.""" + if not experiment.id or experiment.id.strip() == "": + 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: + """Process a single dataset - fetch and store if needed. Returns True on success.""" + logger.info(f"Processing dataset: {dataset_config.name}") + + existing_data = self.db.get_dataset(experiment_id, dataset_config.name) + if existing_data is not None: + 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 = 4 + ) -> int: + """Process all datasets for an experiment concurrently (fetches are I/O-bound). Returns the number processed successfully.""" + if not experiment.datasets: + return 0 + + 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 + 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 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}'" + ) + + # 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 diff --git a/dst_dashboard/processors/panel_processor.py b/dst_dashboard/processors/panel_processor.py new file mode 100644 index 00000000..0b15a157 --- /dev/null +++ b/dst_dashboard/processors/panel_processor.py @@ -0,0 +1,500 @@ +"""Panel processor - processes panel configurations and transformations.""" + +import logging +import re +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 DashboardFullConfig, ExperimentConfig, PanelConfig +from dst_dashboard.processors.dataset_processor import DatasetProcessor +from dst_dashboard.storage.db import DSTDatabase + +logger = logging.getLogger(__name__) + + +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 + """ + + def __init__(self, config: DashboardFullConfig, db: DSTDatabase): + super().__init__(config, db) + + 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) + 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 = 4) -> int: + """Process all panels for an experiment concurrently. Returns the number processed successfully.""" + if not experiment.panels: + return 0 + + 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 + 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.""" + 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.""" + 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": "#152521"}, + }, + "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": "#848e88"}, + "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": "#475651"}, + "axisLine": {"lineStyle": {"color": "#b8bdb8"}}, + }, + "yAxis": { + "type": "value", + "splitArea": {"show": False}, + "axisLabel": {"color": "#475651"}, + "axisLine": {"lineStyle": {"color": "#b8bdb8"}}, + "splitLine": {"lineStyle": {"color": "#eceee4"}}, + }, + "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.""" + 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}}, + } + ) + + 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)) + + 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": "#152521", "fontSize": 16, "fontWeight": "normal"}, + }, + "tooltip": { + "trigger": "axis", + "axisPointer": { + "type": "line", + "lineStyle": {"color": "#b8bdb8", "type": "dashed"}, + }, + "backgroundColor": "rgba(245, 245, 239, 0.95)", + "borderColor": "#dbddd7", + "borderWidth": 1, + "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}, + "pageIconColor": "#5470c6", + "pageIconInactiveColor": "#dbddd7", + "pageTextStyle": {"color": "#475651"}, + "icon": "roundRect", + }, + "toolbox": { + "show": True, + "feature": { + "dataZoom": { + "yAxisIndex": "none", + "title": {"zoom": "Area Zoom", "back": "Reset"}, + }, + "restore": {"title": "Restore"}, + "saveAsImage": {"title": "Save"}, + }, + "iconStyle": {"borderColor": "#848e88"}, + "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": "#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"}}, + }, + "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": "#475651", "fontSize": 11} + if panel_config.style.yLabel: + option["yAxis"]["name"] = panel_config.style.yLabel + 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: + 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 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) + 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.""" + 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}") 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..641d00b3 --- /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 experiment_id, 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 new file mode 100644 index 00000000..ca5f860a --- /dev/null +++ b/dst_dashboard/sample_config.yaml @@ -0,0 +1,23 @@ +# DST Explorer Configuration +# 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/ + + + + + + + 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..6cc7977f --- /dev/null +++ b/dst_dashboard/scripts/seed_data/experiments.json @@ -0,0 +1,367 @@ +{ + "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", + "groupBy": "pod" + }, + "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..ccd2a32a --- /dev/null +++ b/dst_dashboard/scripts/seed_experiments.py @@ -0,0 +1,94 @@ +"""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.

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New experiment

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+ + + + 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..bd471dfc --- /dev/null +++ b/dst_dashboard/storage/db.py @@ -0,0 +1,232 @@ +"""MongoDB database client for storing experiments and datasets.""" + +import json +import threading +from typing import Any, Dict, List, Optional + +from gridfs import GridFSBucket, NoFile +from pymongo import MongoClient + +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 +# instead of opening a new connection per call. +_client_lock = threading.Lock() +_client: Optional[MongoClient] = None +_indexes_ensured = False + + +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 + + +def _json_default(value: Any) -> str: + """json.dumps fallback for datetime-like objects (e.g. pandas Timestamp). + + 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") + + +class DSTDatabase: + """Database client for DST Dashboard, backed by MongoDB.""" + + 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.datasources = self.db.datasources + + # 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") + + 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 + + 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.""" + return self.experiments.find_one({"id": experiment_id}, {"_id": 0}) + + def list_experiments(self) -> List[Dict[str, Any]]: + """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 via GridFS. Returns the dataset ID.""" + dataset_id = f"{experiment_id}:{dataset_name}" + 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.""" + dataset_id = f"{experiment_id}:{dataset_name}" + 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.""" + docs = self.db["panels.files"].find( + {"metadata.experiment_id": experiment_id}, {"_id": 0, "filename": 1, "metadata": 1} + ) + return [ + { + "id": doc["filename"], + "experiment_id": doc["metadata"]["experiment_id"], + "name": doc["metadata"]["name"], + } + for doc in docs + ] + + 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) + 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.""" + panel_id = f"{experiment_id}:{panel_name}" + payload = self._download_gridfs_file(self.panel_fs, panel_id) + return json.loads(payload) if payload is not None else None + + 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.""" + 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.""" + 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]]: + """Get dataset metadata without data rows.""" + dataset_id = f"{experiment_id}:{dataset_name}" + doc = self.db["datasets.files"].find_one( + {"filename": dataset_id}, {"_id": 0, "filename": 1, "metadata": 1} + ) + 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 cascade to its datasets and panels.""" + result = self.experiments.delete_one({"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.""" + dataset_id = f"{experiment_id}:{dataset_name}" + return self._delete_gridfs_file(self.dataset_fs, dataset_id) + + def delete_panel(self, experiment_id: str, panel_name: str) -> bool: + """Delete a panel.""" + panel_id = f"{experiment_id}:{panel_name}" + return self._delete_gridfs_file(self.panel_fs, panel_id) + + 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 + + @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 e11575eb..f4731df3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -16,6 +16,10 @@ dependencies = [ "result>=0.17.0", 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