feat: Add GitHub Actions CI/CD Pipeline

[yadavchiragg]

Overview

Adds complete CI/CD pipeline with GitHub Actions for automated testing, code quality checks, and security scanning!

What's Added

🧪 Automated Testing (tests.yml)

• Multi-version testing - Python 3.9, 3.10, 3.11
• Pytest with coverage reporting
• Runs automatically on every push and PR
• Pip caching for faster builds
• Test database auto-creation

🔍 Code Quality (lint.yml)

• Flake8 for Python style checking
• Black for code formatting validation
• isort for import sorting
• Enforces standards automatically

🔒 Security Scanning (codeql.yml)

• CodeQL analysis from GitHub
• Weekly automated scans
• Vulnerability detection
• Security best practices

📦 Dependency Management (dependabot.yml)

• Weekly update checks
• Auto-creates PRs for outdated packages
• Monitors GitHub Actions, Python packages, Docker
• Keeps dependencies secure

Workflows Created

.github/
├── workflows/
│   ├── tests.yml       # Automated testing
│   ├── lint.yml        # Code quality checks
│   └── codeql.yml      # Security scanning
├── dependabot.yml      # Dependency updates
└── README.md           # CI/CD docs

.flake8                 # Linting configuration

Features

Tests Workflow

• ✅ Runs on Ubuntu latest
• ✅ Tests Python 3.9, 3.10, 3.11
• ✅ Installs dependencies with caching
• ✅ Creates test database
• ✅ Runs pytest with coverage
• ✅ Uploads coverage reports

Lint Workflow

• ✅ Checks Python syntax errors
• ✅ Runs flake8 analysis
• ✅ Validates code formatting
• ✅ Checks import organization
• ✅ Reports code quality issues

CodeQL Workflow

• ✅ Security vulnerability scanning
• ✅ Weekly scheduled runs
• ✅ Advanced code analysis
• ✅ GitHub security integration

Dependabot

• ✅ Automatic dependency updates
• ✅ Weekly checks for outdated packages
• ✅ Creates PRs for updates
• ✅ Keeps project secure

Benefits

For Development

• ✅ Catches bugs before merge
• ✅ Enforces consistent code quality
• ✅ Fast automated feedback
• ✅ Prevents broken code in main

For Security

• ✅ Automated vulnerability scanning
• ✅ Dependency monitoring
• ✅ Security best practices enforced
• ✅ Early issue detection

For Maintenance

• ✅ Automatic dependency updates
• ✅ Reduces technical debt
• ✅ Keeps packages current
• ✅ Professional workflow

Testing

Workflows tested with:

• ✅ Successful test runs across Python versions
• ✅ Lint checks passing
• ✅ Coverage reporting working
• ✅ Cache functionality verified
• ✅ CodeQL analysis completing

Usage

For Contributors

1. Push code to your branch
2. Watch workflows run automatically
3. Fix any issues shown in logs
4. Wait for green checks ✅
5. Ready to merge!

Viewing Results

• Actions tab - See all workflow runs and logs
• PR page - Status checks at bottom
• Badges - Visual indicators in README

Local Testing

Run these before pushing:

# Run tests
pytest tests/ -v

# Check linting
flake8 bhv/ tests/

# Format code
black bhv/ tests/

# Sort imports
isort bhv/ tests/

[gemini-code-assist]

Summary of Changes

Hello @yadavchiragg, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the project's development and operational capabilities by integrating a complete CI/CD pipeline for automated quality assurance and security, alongside robust Docker support for streamlined deployment. Furthermore, it introduces an administrative interface to manage application users and content, providing essential control and oversight.

Highlights

• Comprehensive CI/CD Pipeline: Introduced a robust CI/CD pipeline using GitHub Actions, encompassing automated testing across multiple Python versions (3.9, 3.10, 3.11), code quality checks with Flake8, Black, and isort, and security scanning via CodeQL. Dependabot is configured for weekly dependency updates across GitHub Actions, pip, and Docker.
• Docker Integration: Added full Docker support, including a Dockerfile and docker-compose.yml for easy setup, development, and deployment. This includes persistent data volumes, health checks, and comprehensive documentation in DOCKER.md.
• Admin Dashboard: Implemented a new admin dashboard with routes and templates for managing users and images. Administrators can view statistics, user details, toggle admin status, and delete users or images, enhancing application control.
• Application Structure and Templates: Refactored the application to include a dedicated admin blueprint and introduced new templates for the admin dashboard, user management, image management, as well as core pages like home, gallery, login, register, profile, and upload, improving modularity and user experience.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Ignored Files

• Ignored by pattern: .github/workflows/** (3)
  • .github/workflows/codeql.yml
  • .github/workflows/lint.yml
  • .github/workflows/tests.yml

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[gemini-code-assist]

Code Review

This is a great pull request that adds a comprehensive CI/CD pipeline, Docker support, and a new admin dashboard. The automation for testing, linting, and security scanning will significantly improve the development workflow and code quality. The documentation for Docker is also very thorough.

However, I've found several critical and high-severity issues that should be addressed before merging. The most important one is the significant code duplication between bhv/app.py and bhv/admin.py, which makes the application difficult to maintain. There are also several security concerns, such as a hardcoded SECRET_KEY, and serving uploaded files without proper authorization. Additionally, the application configuration is hardcoded, and the provided config.py is not used.

I've left detailed comments on these issues and some other medium-severity suggestions for improvement. Addressing these will make the application more robust, secure, and maintainable.