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Implement Phase 1 infrastructure from master orchestration plan. This commit delivers production-ready deployment infrastructure, comprehensive documentation, and workflow automation. **Cloudflare DNS Infrastructure:** - Add records.yaml with complete DNS config for all domains - Add migrate_to_cloudflare.md with step-by-step migration guide - Add cloudflare_dns_sync.py for automated DNS synchronization - Update CLOUDFLARE_DNS_BLUEPRINT.md with implementation references **Environment Variable Documentation:** - Add ENV_VARS.md with comprehensive variable reference - Document all services: Railway, GitHub Actions, Cloudflare, local - Include security best practices and validation scripts - Add troubleshooting guides and quick-start templates **GitHub Actions Workflows:** - Add railway-deploy-template.yml for Railway deployments - Add frontend-deploy-template.yml for static site deployments - Add codeql-analysis-template.yml for security scanning - Add comprehensive-ci-template.yml for complete CI pipeline - Add .github/dependabot.yml for automated dependency updates **Frontend Infrastructure:** - Add infra/frontend/LANDING_PAGE_PLAN.md with detailed implementation plan - Include page structure, design system, content guidelines - Document deployment options (GitHub Pages, Railway, Cloudflare Pages) **Master Orchestration Updates:** - Update MASTER_ORCHESTRATION_PLAN.md with implementation file references - Add Phase 1 implementation checklist - Document immediate, short-term, and medium-term next steps **Impact:** This implementation enables: - Automated DNS management across 10+ domains - Secure, documented deployment workflows - Consistent environment configuration - Automated security scanning and dependency updates - Clear path to production for landing page **Next Steps for Operator:** 1. Migrate DNS to Cloudflare using migrate_to_cloudflare.md 2. Configure GitHub and Railway secrets 3. Deploy backend with custom domains 4. Implement landing page using LANDING_PAGE_PLAN.md Refs: #55 (Master Orchestration Prompt)
135 lines
3.8 KiB
YAML
135 lines
3.8 KiB
YAML
# CodeQL Security Analysis Workflow Template
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# ==========================================
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#
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# This template sets up CodeQL code scanning for security vulnerabilities.
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#
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# How to use:
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# -----------
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# 1. Copy this file to .github/workflows/codeql-analysis.yml in your repo
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# 2. Update the languages array based on your repo (python, javascript, typescript, etc.)
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# 3. Customize paths to analyze if needed
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# 4. Commit and push - CodeQL will run automatically
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#
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# What is CodeQL?
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# --------------
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# CodeQL is GitHub's semantic code analysis engine that finds security vulnerabilities
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# and coding errors. It's free for public repos and GitHub Enterprise.
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#
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# Supported languages:
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# -------------------
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# - python
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# - javascript (includes TypeScript)
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# - go
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# - java
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# - csharp
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# - cpp
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# - ruby
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# - swift
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name: CodeQL Security Analysis
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on:
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push:
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branches:
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- main
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- develop
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pull_request:
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branches:
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- main
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- develop
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schedule:
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# Run CodeQL analysis every Monday at 00:00 UTC
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- cron: '0 0 * * 1'
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workflow_dispatch:
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# Limit concurrent runs
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concurrency:
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group: codeql-${{ github.ref }}
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cancel-in-progress: true
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jobs:
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analyze:
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name: CodeQL Analysis
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runs-on: ubuntu-latest
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timeout-minutes: 30
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permissions:
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# Required for CodeQL to upload results
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actions: read
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contents: read
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security-events: write
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strategy:
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fail-fast: false
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matrix:
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# Update this array based on your repository's languages
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# For BlackRoad OS backend: ['python', 'javascript']
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# For frontend only: ['javascript']
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language: ['python', 'javascript']
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steps:
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# ========================================
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# 1. Checkout code
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# ========================================
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- name: Checkout repository
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uses: actions/checkout@v4
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# ========================================
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# 2. Initialize CodeQL
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# ========================================
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- name: Initialize CodeQL
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uses: github/codeql-action/init@v3
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with:
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languages: ${{ matrix.language }}
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# If you want to analyze specific paths only:
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# paths:
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# - backend/
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# - src/
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# paths-ignore:
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# - tests/
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# - '**/*.test.js'
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# ========================================
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# 3. Build code (if needed)
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# ========================================
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# For compiled languages (Java, C#, C++), add build steps here
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# For interpreted languages (Python, JavaScript), auto-build works
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# Autobuild attempts to build any compiled languages
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- name: Autobuild
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uses: github/codeql-action/autobuild@v3
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# Alternative: Manual build steps for Python if needed
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# - name: Build Python (manual)
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# if: matrix.language == 'python'
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# run: |
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# python -m pip install --upgrade pip
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# pip install -r backend/requirements.txt
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# ========================================
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# 4. Perform CodeQL Analysis
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# ========================================
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- name: Perform CodeQL Analysis
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uses: github/codeql-action/analyze@v3
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with:
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category: "/language:${{ matrix.language }}"
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# ========================================
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# Workflow Summary
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# ========================================
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#
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# This workflow:
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# 1. Runs on push, PR, schedule (weekly), and manual dispatch
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# 2. Analyzes code for security vulnerabilities using CodeQL
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# 3. Uploads results to GitHub Security tab
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# 4. Creates alerts for any issues found
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#
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# View results:
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# - Go to your repository → Security tab → Code scanning alerts
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#
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# Customization:
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# - Add more languages to matrix.language array
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# - Filter paths to analyze specific directories
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# - Adjust schedule frequency
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# - Add custom queries for domain-specific security checks
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