Update pyproject.toml Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>#40
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…e-fixes-at7thi Unify CI checks behind `./scripts/check.sh`, add codespell and dependency validation
Merge pull request #10 from Huynhthuongg/codex/review-code-and-propose-fixes-at7thi Unify CI checks behind `./scripts/check.sh`, add codespell and dependency validation
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
Update README.md Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
Merge pull request #25 from Huynhthuongg/main
Revert "Merge pull request #25 from Huynhthuongg/main"
- Remove httpx2>=2.3,<3.0 from pyproject.toml (line 24) - Remove httpx2 from check.sh module validation (line 11) - Keep httpx>=0.28,<1.0 which is the correct package Fixes dependency resolution errors in CI/CD and local setup.
fix: remove non-existent httpx2 dependency
- Add Weather Dashboard with real-time weather fetching - Integrate OpenWeatherMap API for global weather data - Implement responsive HTML5 UI with modern design - Add city search functionality with autocomplete - Add save/favorite cities with SQLite database - Include comprehensive weather details (temperature, humidity, wind, pressure, sunrise/sunset) - Add security headers and error handling - Responsive design for mobile, tablet, and desktop - FastAPI with async/await pattern - Complete API documentation Files added: - weather_dashboard/config.py - Configuration management - weather_dashboard/models.py - Data models (WeatherData, SavedCity, etc.) - weather_dashboard/weather_service.py - OpenWeatherMap API integration - weather_dashboard/database.py - SQLite database operations - weather_dashboard/app.py - FastAPI application and routes - weather_dashboard/templates.py - Beautiful HTML dashboard - weather_dashboard/__init__.py - Package initialization - config/weather.env.example - Environment configuration example - README_WEATHER.md - Complete documentation
feat: add weather dashboard application
Merge pull request #30 from Huynhthuongg/main
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com> (#39)
### Motivation - Serve the FastAPI dashboard from Vercel and route all requests to the Python serverless function so the site does not return `404: NOT_FOUND` when deployed. ### Description - Add a Vercel routing config via `vercel.json` to forward all requests to `api/index.py`. - Add `api/index.py` which exposes the FastAPI `app` by importing `universal_compiler_agent.server` and adjusting `sys.path` for the `app` package. - Add `requirements.txt` and document Vercel deployment in `README.md` with instructions to run `vercel` from the project root. - Update `pyproject.toml` to include an additional optional dev dependency and add a new test `tests/test_vercel.py` that verifies the Vercel config and the serverless entrypoint respond correctly. ### Testing - Ran `pytest tests/test_vercel.py` and the new tests passed, confirming that `vercel.json` contains the expected `builds` and `routes` and that the `api/index.py` entrypoint exposes a working FastAPI `app` (status `200`). ------ [Codex Task](https://chatgpt.com/codex/cloud/tasks/task_e_6a2fa2d9a5c4832c9c9468a962d09acf)
Implemented Vercel Web Analytics for the Universal Project Compiler Agent ## Summary Successfully configured Vercel Web Analytics for this Python FastAPI application by adding the official Vercel Analytics CDN script to the HTML template. ## Changes Made ### Modified Files: - `app/universal_compiler_agent/templates.py` - Added Vercel Analytics script tag using the CDN approach - Script placed before closing `</body>` tag as per official documentation - Used deferred loading to avoid blocking page render ## Implementation Details ### Approach Selected: Since this is a Python FastAPI application serving vanilla HTML/JavaScript (not a Node.js project), I used the **CDN script injection method** as recommended by the official Vercel documentation. ### Why This Approach: 1. **No npm/package manager required**: This is a Python project without Node.js dependencies 2. **Framework-appropriate**: The vanilla HTML/JavaScript template matches the CDN script approach 3. **Latest documentation followed**: Fetched current instructions from https://vercel.com/docs/analytics/quickstart 4. **Zero build changes**: No additional build steps or dependencies needed ### Script Added: ```html <script defer src="https://cdn.vercel-insights.com/v1/script.js"></script> ``` The script tag: - Uses `defer` attribute for non-blocking load - Points to the official Vercel CDN - Automatically tracks page views once deployed to Vercel - Requires Web Analytics to be enabled in the Vercel dashboard ## Verification Steps Completed ✓ Python syntax validation passed ✓ HTML structure integrity verified ✓ Analytics script correctly positioned before closing body tag ✓ Template imports successfully without errors ✓ All existing Python modules validate correctly ## Next Steps for Deployment To complete the Web Analytics setup: 1. **Enable Analytics in Vercel Dashboard**: - Go to your project settings on Vercel - Navigate to the Analytics section - Enable Web Analytics 2. **Deploy the changes**: ```bash git push origin main vercel deploy --prod ``` 3. **Verify tracking**: - Visit your deployed site - Open browser DevTools → Network tab - Look for requests to Vercel analytics endpoints - Analytics data will appear in the Vercel dashboard ## Notes - No package.json or lock files needed (Python project) - The script loads asynchronously and won't affect page performance - Analytics will only be active when deployed to Vercel infrastructure - Local development won't trigger analytics events ## Documentation References - Vercel Analytics Quickstart: https://vercel.com/docs/analytics/quickstart - Script injection method: https://vercel.com/docs/analytics/package Co-authored-by: Vercel <vercel[bot]@users.noreply.github.com>
Implemented Vercel Web Analytics for the Universal Project Compiler Agent ## Summary Successfully configured Vercel Web Analytics for this Python FastAPI application by adding the official Vercel Analytics CDN script to the HTML template. ## Changes Made ### Modified Files: - `app/universal_compiler_agent/templates.py` - Added Vercel Analytics script tag using the CDN approach - Script placed before closing `</body>` tag as per official documentation - Used deferred loading to avoid blocking page render ## Implementation Details ### Approach Selected: Since this is a Python FastAPI application serving vanilla HTML/JavaScript (not a Node.js project), I used the **CDN script injection method** as recommended by the official Vercel documentation. ### Why This Approach: 1. **No npm/package manager required**: This is a Python project without Node.js dependencies 2. **Framework-appropriate**: The vanilla HTML/JavaScript template matches the CDN script approach 3. **Latest documentation followed**: Fetched current instructions from https://vercel.com/docs/analytics/quickstart 4. **Zero build changes**: No additional build steps or dependencies needed ### Script Added: ```html <script defer src="https://cdn.vercel-insights.com/v1/script.js"></script> ``` The script tag: - Uses `defer` attribute for non-blocking load - Points to the official Vercel CDN - Automatically tracks page views once deployed to Vercel - Requires Web Analytics to be enabled in the Vercel dashboard ## Verification Steps Completed ✓ Python syntax validation passed ✓ HTML structure integrity verified ✓ Analytics script correctly positioned before closing body tag ✓ Template imports successfully without errors ✓ All existing Python modules validate correctly ## Next Steps for Deployment To complete the Web Analytics setup: 1. **Enable Analytics in Vercel Dashboard**: - Go to your project settings on Vercel - Navigate to the Analytics section - Enable Web Analytics 2. **Deploy the changes**: ```bash git push origin main vercel deploy --prod ``` 3. **Verify tracking**: - Visit your deployed site - Open browser DevTools → Network tab - Look for requests to Vercel analytics endpoints - Analytics data will appear in the Vercel dashboard ## Notes - No package.json or lock files needed (Python project) - The script loads asynchronously and won't affect page performance - Analytics will only be active when deployed to Vercel infrastructure - Local development won't trigger analytics events ## Documentation References - Vercel Analytics Quickstart: https://vercel.com/docs/analytics/quickstart - Script injection method: https://vercel.com/docs/analytics/package --- [View Project](https://vercel.com/agent-rkix-3-s-projects/agents-md-fudg) · [Web Analytics](https://vercel.com/agent-rkix-3-s-projects/agents-md-fudg/analytics) Created by **AGENT-RKIX3 (nvht25052002-2777)** with [Vercel Agent](https://vercel.com/docs/agent)
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