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Arte edited this page Jan 25, 2026 · 1 revision

Deep Learning Protocol - Workflow Protocol

Version 1.0 | Last Updated: January 25, 2026

📋 Overview

This document defines the complete workflow protocol for the Deep Learning Protocol project, detailing development processes, deployment procedures, and operational guidelines.

🔄 Development Workflow

Phase 1: Local Development

  1. Setup Environment

    • Clone repository: git clone https://github.com/quickattach0-tech/DeepLearningProtocol.git
    • Install .NET 10.0 SDK or higher
    • Navigate to project directory

  2. Build Project

    dotnet build

  3. Run Application

    dotnet run --project DeepLearningProtocol/DeepLearningProtocol.csproj

  4. Run Tests

    dotnet test

Phase 2: Code Review & Testing

  1. Create feature branch: git checkout -b feature/your-feature
  2. Make changes following CONTRIBUTING.md
  3. Run all tests: dotnet test
  4. Verify no data loss prevention warnings
  5. Commit with clear messages: git commit -m "feat: description"
  6. Push to remote: git push origin feature/your-feature

Phase 3: CI/CD Pipeline

  1. Automated Checks (GitHub Actions)

    • Build on multiple platforms (.NET 8.0, 10.0)
    • Run test suite
    • Generate test reports

  2. Status Badge

    • CI/CD status visible in README
    • All checks must pass before merge

Phase 4: Deployment

  1. Docker Containerization

    docker build -t deeplearningprotocol:latest .
docker run -it deeplearningprotocol:latest

  2. Release Management

    • Tag releases: git tag -a v1.0.0 -m "Release v1.0.0"
    • Push tags: git push origin v1.0.0
    • GitHub Actions creates release artifacts

🏗️ Architecture Workflow

Hierarchical Layer System

┌─────────────────────────────────────────┐
│         Application Entry Point         │
│           (Program.cs / Main)           │
└──────────────────┬──────────────────────┘
                   │
┌──────────────────▼──────────────────────┐
│         Menu System Layer               │
│     (User Interaction & Routing)        │
└──────────────────┬──────────────────────┘
                   │
┌──────────────────▼──────────────────────┐
│      Deep Learning Protocol Core        │
│    (Business Logic & Processing)        │
└──────────────────┬──────────────────────┘
                   │
┌──────────────────▼──────────────────────┐
│       Data Loss Prevention (DLP)        │
│  (Meme Detection & State Backup)        │
└──────────────────┬──────────────────────┘
                   │
┌──────────────────▼──────────────────────┐
│      Abstract Core Foundation           │
│   (Interfaces & Base Classes)           │
└─────────────────────────────────────────┘

Data Flow

  1. Input: User selects operation via MenuSystem
  2. Processing: DeepLearningProtocol applies reasoning
  3. Protection: DataLossPrevention scans for sensitive data
  4. Output: Results displayed to user
  5. Backup: Critical states saved if threats detected

🔐 Data Loss Prevention (DLP) Workflow

Detection Rules

Content Type Detection Method Action
Meme/Binary Signature scanning Warn user, backup state
Sensitive Data Pattern matching Log attempt, create backup
Critical State Hash verification Automatic backup

Backup Process

  1. Trigger: Sensitive content detected or state change
  2. Location: .dlp_backups/ directory
  3. Format: Timestamped JSON files
  4. Retention: 30-day automatic cleanup
  5. Recovery: Restore via menu option

🧪 Testing Workflow

Test Categories

Category Count Framework Purpose
Unit Tests 5 XUnit Core functionality
Integration Tests 2 XUnit Component interaction
DLP Tests 1 XUnit Data protection

Test Execution

# Run all tests
dotnet test

# Run specific test class
dotnet test --filter ClassName=DeepLearningProtocolTests

# Run with detailed output
dotnet test --verbosity=detailed

Test Coverage Goals

  • Core protocol: 100% coverage
  • DLP module: 95%+ coverage
  • Menu system: 80%+ coverage

🐳 Docker Workflow

Building Docker Image

# Build with default tag
docker build -t deeplearningprotocol:latest .

# Build with version tag
docker build -t deeplearningprotocol:1.0.0 .

# Build with multiple tags
docker build -t deeplearningprotocol:latest -t deeplearningprotocol:1.0.0 .

Running in Docker

# Interactive mode
docker run -it deeplearningprotocol:latest

# Run with volume mount for backups
docker run -it -v $(pwd)/.dlp_backups:/app/.dlp_backups deeplearningprotocol:latest

# Run in detached mode
docker run -d deeplearningprotocol:latest

Docker Image Specifications

  • Base Image: mcr.microsoft.com/dotnet/runtime:10.0
  • Build Stage: Uses SDK 10.0 for compilation
  • Runtime Stage: Lightweight runtime for execution
  • Size: ~150MB (with multi-stage optimization)

📊 Quality Assurance Workflow

Pre-Commit Checks

  • Code compiles without warnings
  • All tests pass
  • No DLP warnings triggered
  • Code follows style guidelines (implicit usings, nullable)

Code Review Checklist

  • Changes align with architecture
  • Tests added for new functionality
  • Documentation updated
  • No breaking changes without discussion

Release Checklist

  • All tests passing on all target frameworks
  • Documentation updated
  • CHANGELOG entry added
  • Version numbers incremented
  • Docker image built and tested

🚨 Troubleshooting Workflow

Common Issues

Build Failures

  1. Verify .NET version: dotnet --version
  2. Clean and rebuild: dotnet clean && dotnet build
  3. Restore NuGet: dotnet restore

Test Failures

  1. Run single test: dotnet test --filter "TestName"
  2. Check DLP backups: ls -la .dlp_backups/
  3. Review test logs: dotnet test --verbosity=detailed

Docker Build Issues

  1. Verify Docker: docker --version
  2. Check Dockerfile: Ensure it's in root directory
  3. Build with debug: docker build --progress=plain -t dlp:test .

DLP Warnings

  1. Check backup files: .dlp_backups/ folder
  2. Review detection logs in console output
  3. Use menu option to verify state

📝 Documentation Workflow

Documentation Update Process

  1. Identify Need: Feature added or process changed
  2. Update Files: Edit relevant markdown files
  3. Verify Links: Ensure all internal links work
  4. Update Index: Add entry to DOCS_INDEX.md
  5. Commit: Include doc changes in commit
  6. Sync Wiki: Push changes to GitHub Wiki (if applicable)

Documentation Locations

🔀 Git Workflow

Branch Strategy

main (production-ready)
  └─ develop (integration branch)
       └─ feature/* (individual features)
       └─ bugfix/* (bug fixes)
       └─ release/* (release preparation)

Commit Convention

<type>(<scope>): <subject>

<body>

<footer>

Types: feat, fix, docs, style, refactor, test, chore

Example:

feat(dlp): add meme detection capability

Implement signature scanning for meme content.
Triggers backup when detected.

Closes #123

🔄 Continuous Integration Workflow

GitHub Actions Pipeline

  1. Trigger: Push to main or PR created
  2. Jobs:
    • Build on .NET 8.0
    • Build on .NET 10.0
    • Run test suite
    • Generate artifacts
  3. Artifacts:
    • Windows executable
    • Linux executable
    • macOS executable
  4. Status: Badge displayed in README

📈 Performance & Monitoring

Metrics to Track

  • Build Time: Target < 30 seconds
  • Test Suite: Target < 10 seconds
  • Code Coverage: Target > 90%
  • Issue Resolution: Target 80%+ within 2 weeks

Monitoring Checklist

  • All CI/CD checks passing
  • No failed tests in last 7 days
  • No critical issues open
  • Documentation up-to-date

🎯 Success Criteria

A successful workflow execution meets:

  1. ✅ Code compiles without errors
  2. ✅ All tests pass
  3. ✅ DLP protection verified
  4. ✅ Docker image builds successfully
  5. ✅ Documentation is current
  6. ✅ CI/CD pipeline passes
  7. ✅ No security vulnerabilities detected

📞 Support & Escalation

Issue Tracking

  • Feature Requests: GitHub Issues with feature label
  • Bug Reports: GitHub Issues with bug label
  • Documentation: GitHub Issues with docs label
  • Discussion: GitHub Discussions tab

Support Channels

  1. Check docs/ and README
  2. Search existing GitHub issues
  3. Post new issue with complete details
  4. Contact maintainers for urgent matters

📅 Versioning Policy

Semantic Versioning (MAJOR.MINOR.PATCH):

  • MAJOR: Breaking changes, architecture shifts
  • MINOR: New features, non-breaking additions
  • PATCH: Bug fixes, documentation updates

Current Version: 1.0.0

🔐 Security Workflow

Security Checklist

  • No hardcoded credentials in code
  • No sensitive data in logs
  • DLP protection active
  • Dependencies up-to-date
  • No known vulnerabilities

Reporting Security Issues

  • Do NOT open public GitHub issue
  • Email security details to maintainers
  • Include reproduction steps
  • Allow 48-hour response window

End of Workflow Protocol

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