Add deployment infrastructure and public repository configuration#2
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Co-authored-by: xploitoverload <184857390+xploitoverload@users.noreply.github.com>
Co-authored-by: xploitoverload <184857390+xploitoverload@users.noreply.github.com>
Co-authored-by: xploitoverload <184857390+xploitoverload@users.noreply.github.com>
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Pull request overview
This PR aims to make the application production-deployable and “public repo ready” by adding containerization/deployment configs, CI/CD workflows, and contributor/security documentation.
Changes:
- Add Docker/Docker Compose production scaffolding plus platform deploy configs (Render/Heroku).
- Introduce CI/CD workflows for tests/lint/security scans and Docker publishing.
- Add/refresh public-facing documentation (deployment guides, contributing, security policy, issue templates) and adjust dependency pins.
Reviewed changes
Copilot reviewed 16 out of 17 changed files in this pull request and generated 9 comments.
Show a summary per file
| File | Description |
|---|---|
Dockerfile |
Multi-stage, non-root production image with /health check and Gunicorn entrypoint |
docker-compose.yml |
Local stack with Redis + persisted volumes and health checks |
render.yaml |
Render blueprint updates (build/start commands, env vars, redis service, health path) |
Procfile |
Heroku web dyno Gunicorn command tuned for workers/threads/logging |
.dockerignore |
Reduce Docker build context size by excluding dev/docs/artifacts |
requirements.txt |
Dependency pin adjustments (face-recognition, graphene-sqlalchemy) |
requirements-prod.txt |
New “core only” production dependency set |
.github/workflows/ci-cd.yml |
Test/lint/security pipeline + Docker build/test + optional Render deploy hook |
.github/workflows/docker-publish.yml |
Release-triggered multi-arch Docker image publish |
.github/ISSUE_TEMPLATE/* |
New YAML issue forms for bugs/features |
README.md |
Badges + quick start/deploy guidance + contribution links |
DEPLOYMENT.md |
Comprehensive multi-platform deployment guide |
QUICK_DEPLOY.md |
Short deployment “fast path” guide |
CONTRIBUTING.md |
Contributor workflow + standards/testing guidance |
SECURITY.md |
Security policy + deployment best practices |
DEPLOYMENT_COMPLETE.md |
Summary/status document for the deployment/public release effort |
Comments suppressed due to low confidence (1)
render.yaml:27
- A Redis service is provisioned, but no
REDIS_URLenv var is set for the web service. In production config, rate limiting storage usesREDIS_URL(falls back to in-memory), so this Redis instance will be unused and you won’t actually get distributed rate limiting/caching. Export the Redis connection string intoREDIS_URL(e.g., viafromService/ appropriate Render blueprint linkage).
healthCheckPath: /health
- type: redis
name: project-management-redis
plan: free
ipAllowList: []
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| buildCommand: | | ||
| pip install --upgrade pip | ||
| pip install -r requirements.txt | ||
| startCommand: gunicorn run:app --bind 0.0.0.0:$PORT --workers 2 --threads 2 --timeout 120 |
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This blueprint installs requirements.txt even though the repo adds requirements-prod.txt for deployment. Using the full requirements.txt can pull in heavy/optional deps (e.g., face recognition stack) and also diverges from the production pin set. Consider installing requirements-prod.txt here (or document why Render needs the full set).
| - name: Install safety | ||
| run: pip install safety | ||
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| - name: Run safety check | ||
| run: safety check --json || true |
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The Safety step installs only safety itself and then runs safety check, so it will primarily scan the Safety package’s environment rather than your application dependencies. To get meaningful results, install the project requirements in this job (or run safety check -r requirements.txt / requirements-prod.txt).
| - name: Install safety | |
| run: pip install safety | |
| - name: Run safety check | |
| run: safety check --json || true | |
| - name: Install dependencies for safety scan | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| pip install safety | |
| - name: Run safety check | |
| run: safety check --json -r requirements.txt || true |
| # Caching | ||
| Flask-Caching==2.3.0 | ||
| redis==5.0.1 | ||
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requirements-prod.txt pins Flask-Caching==2.3.0, but requirements.txt still pins Flask-Caching==2.0.2. Since Render is configured to install requirements.txt, this mismatch can reintroduce the Flask 3 compatibility/dependency conflict this PR description says was fixed. Align the versions (or have deployments install requirements-prod.txt).
| - name: Test Docker image | ||
| run: | | ||
| docker build -t project-management:test . | ||
| docker run -d -p 8000:8000 --name test-container project-management:test |
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The Docker image is run in production mode and the app requires SECRET_KEY and DATABASE_URL in production, but this workflow starts the container without either. This will likely cause the container to exit immediately and make the health curl fail. Pass required env vars (or override FLASK_ENV=testing and set a SQLite DATABASE_URL) when running the container in CI.
| docker run -d -p 8000:8000 --name test-container project-management:test | |
| docker run -d -p 8000:8000 \ | |
| -e FLASK_ENV=testing \ | |
| -e SECRET_KEY=ci-test-secret \ | |
| -e DATABASE_URL=sqlite:///test.db \ | |
| --name test-container project-management:test |
| - key: DATABASE_URL | ||
| fromDatabase: | ||
| name: project-management-db | ||
| property: connectionString |
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DATABASE_URL is populated via fromDatabase: name: project-management-db, but this blueprint does not define a databases: section (or any database resource) named project-management-db. As written, Render won’t be able to resolve this reference and the web service will start without a valid DB connection (and the app’s ProductionConfig requires DATABASE_URL). Add the matching database resource to the blueprint or remove fromDatabase and set DATABASE_URL another way.
| - "8000:8000" | ||
| environment: | ||
| - FLASK_ENV=production | ||
| - SECRET_KEY=${SECRET_KEY:-change-this-secret-key-in-production} |
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FLASK_ENV=production is set, but SECRET_KEY defaults to a hard-coded, insecure value if the user doesn’t override it. This creates an easy footgun where someone runs “production” locally (or even deploys) with a known secret key. Prefer requiring SECRET_KEY to be provided (no default) or default to a clearly invalid value that fails fast, and document using an .env file.
| - SECRET_KEY=${SECRET_KEY:-change-this-secret-key-in-production} | |
| - SECRET_KEY=${SECRET_KEY:?SECRET_KEY must be set in .env for production} |
| ```bash | ||
| # Using Gunicorn | ||
| pip install gunicorn | ||
| gunicorn -w 4 -b 0.0.0.0:5000 app:app |
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The README’s Gunicorn example uses app:app, but your deployment configs (Dockerfile/Procfile/render.yaml) use run:app. Both may work, but run.py also loads .env via load_dotenv() while app.py does not, so following the README example can lead to “missing env var” startup errors locally. Consider aligning the README command with the actual deployment entrypoint (or explicitly call out the difference).
| gunicorn -w 4 -b 0.0.0.0:5000 app:app | |
| gunicorn -w 4 -b 0.0.0.0:5000 run:app |
| # Run container | ||
| docker run -d -p 8000:8000 \ | ||
| -e FLASK_ENV=production \ | ||
| -e SECRET_KEY=your-secret-key \ |
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The Docker run example sets FLASK_ENV and SECRET_KEY but omits DATABASE_URL. In production config, missing DATABASE_URL raises at startup, so this command will likely fail unless users add it. Include -e DATABASE_URL=... (or document the SQLite default approach used in docker-compose).
| -e SECRET_KEY=your-secret-key \ | |
| -e SECRET_KEY=your-secret-key \ | |
| -e DATABASE_URL=sqlite:////app/app.db \ |
| ## Contributing | ||
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| Contributions are welcome! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. | ||
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| 1. Fork the repository | ||
| 2. Create feature branch: `git checkout -b feature/your-feature` | ||
| 3. Commit changes: `git commit -m 'Add feature'` | ||
| 4. Push to branch: `git push origin feature/your-feature` | ||
| 5. Open Pull Request |
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This PR adds a new “## Contributing” section here, but the README already contains another “## Contributing” section later in the file. This duplication is confusing and will drift over time; consider consolidating into a single section and just link to CONTRIBUTING.md.
Transforms the project from a development-only state into a production-deployable, community-ready application.
Deployment Infrastructure
CI/CD
Documentation
Fixes
face-recognition==1.3.0,graphene-sqlalchemy==3.0.0rc2,Flask-Caching==2.3.0(Flask 3 compatibility)Repository Structure
The project now supports one-click deployment to Render/Heroku, container deployment via Docker, and manual VPS deployment with complete documentation.
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