Testing, Documentation, and Deployment #9

New Issue

peterwood · 2025-10-29T19:44:55-07:00

peterwood commented

2025-10-29 19:44:55 -07:00

Originally created by @acedanger on GitHub (May 27, 2025).

Testing, Documentation, and Deployment

Issue Summary

Implement comprehensive testing suite, complete documentation, and production deployment setup for the Telegram backup monitoring bot, ensuring reliability, maintainability, and seamless deployment.

Description

Develop a complete testing framework, comprehensive documentation, and automated deployment pipeline to ensure the Telegram bot is production-ready, well-documented, and easily maintainable.

Requirements

Testing Framework

Unit tests for all core functionality
Integration tests for backup system interfaces
End-to-end tests for complete user workflows
Performance testing and benchmarking
Security testing for authorization and input validation
Mock testing for external dependencies
Automated test execution and reporting

Documentation Suite

Complete API documentation
User guide with command examples
Administrator setup and configuration guide
Developer documentation for extending functionality
Troubleshooting and FAQ section
Architecture and design documentation
Security and deployment best practices

Deployment Infrastructure

Docker containerization
Environment configuration management
Automated deployment scripts
Health monitoring and logging
Backup and recovery procedures
Service management and restart capabilities
Production environment setup

Quality Assurance

Code linting and formatting standards
Security vulnerability scanning
Dependency management and updates
Performance monitoring in production
Error tracking and reporting
User feedback collection system

Technical Implementation

Testing Framework Structure

telegram/tests/
├── unit/
│   ├── test_auth.py            # Authentication tests
│   ├── test_commands/          # Command handler tests
│   │   ├── test_plex.py
│   │   ├── test_immich.py
│   │   ├── test_media.py
│   │   ├── test_dashboard.py
│   │   └── test_notifications.py
│   ├── test_utils/             # Utility function tests
│   └── test_security.py        # Security validation tests
├── integration/
│   ├── test_backup_systems.py  # Backup system integration
│   ├── test_webhooks.py        # Webhook integration
│   ├── test_notifications.py   # Notification delivery
│   └── test_database.py        # Data persistence
├── e2e/
│   ├── test_user_workflows.py  # Complete user scenarios
│   ├── test_admin_operations.py # Administrative workflows
│   └── test_emergency_scenarios.py # Emergency procedures
├── performance/
│   ├── test_response_times.py  # Response time benchmarks
│   ├── test_memory_usage.py    # Memory usage testing
│   └── test_concurrent_users.py # Load testing
├── security/
│   ├── test_authorization.py   # Authorization testing
│   ├── test_input_validation.py # Input sanitization
│   └── test_api_security.py    # API security testing
└── conftest.py                 # Test configuration and fixtures

Unit Testing Examples

import pytest
import asyncio
from unittest.mock import Mock, patch, AsyncMock
from telegram.bot.commands.plex.status import PlexStatusHandler

class TestPlexStatusHandler:
    @pytest.fixture
    def status_handler(self):
        return PlexStatusHandler()

    @pytest.fixture
    def mock_log_data(self):
        return {
            "timestamp": "2025-05-27T02:02:49Z",
            "status": "completed",
            "duration": "2m 34s",
            "size": "1.2 GB",
            "files": 47
        }

    @pytest.mark.asyncio
    async def test_get_plex_status_success(self, status_handler, mock_log_data):
        """Test successful Plex status retrieval"""
        with patch('telegram.bot.utils.plex_parser.parse_latest_log') as mock_parse:
            mock_parse.return_value = mock_log_data

            result = await status_handler.get_status()

            assert result['status'] == 'completed'
            assert result['duration'] == '2m 34s'
            assert result['size'] == '1.2 GB'
            mock_parse.assert_called_once()

    @pytest.mark.asyncio
    async def test_get_plex_status_file_not_found(self, status_handler):
        """Test Plex status when log file is missing"""
        with patch('telegram.bot.utils.plex_parser.parse_latest_log') as mock_parse:
            mock_parse.side_effect = FileNotFoundError("Log file not found")

            result = await status_handler.get_status()

            assert result['status'] == 'unknown'
            assert 'error' in result

    def test_format_status_message(self, status_handler, mock_log_data):
        """Test status message formatting"""
        formatted = status_handler.format_status_message(mock_log_data)

        assert "🟢 Plex Backup Status" in formatted
        assert "✅ Completed Successfully" in formatted
        assert "2m 34s" in formatted
        assert "1.2 GB" in formatted

Integration Testing

import pytest
import subprocess
from telegram.bot.utils.script_runner import ScriptRunner

class TestBackupSystemIntegration:
    @pytest.fixture
    def script_runner(self):
        return ScriptRunner()

    @pytest.mark.integration
    async def test_plex_backup_script_execution(self, script_runner):
        """Test actual Plex backup script execution"""
        # Run in dry-run mode to avoid actual backup
        result = await script_runner.execute_script(
            "/home/acedanger/shell/plex/backup-plex.sh",
            ["--dry-run"]
        )

        assert result.return_code == 0
        assert "dry run" in result.stdout.lower()

    @pytest.mark.integration
    async def test_backup_log_parsing(self, script_runner):
        """Test parsing actual backup logs"""
        # Ensure test log file exists
        test_log_path = "/tmp/test_plex_backup.json"

        # Create test log entry
        test_data = {
            "timestamp": "2025-05-27T10:00:00Z",
            "status": "completed",
            "duration": "1m 30s"
        }

        with open(test_log_path, 'w') as f:
            json.dump(test_data, f)

        # Test parsing
        from telegram.bot.utils.plex_parser import parse_log_file
        result = parse_log_file(test_log_path)

        assert result['status'] == 'completed'
        assert result['duration'] == '1m 30s'

End-to-End Testing

import pytest
from telegram.ext import ApplicationBuilder
from telegram.bot.main import TelegramBot

class TestUserWorkflows:
    @pytest.fixture
    async def bot_app(self):
        """Create test bot application"""
        bot = TelegramBot(test_mode=True)
        app = await bot.create_application()
        yield app
        await app.shutdown()

    @pytest.mark.e2e
    async def test_complete_status_check_workflow(self, bot_app):
        """Test complete user workflow for checking status"""
        # Simulate user sending /start command
        await self.simulate_user_message(bot_app, "/start")

        # Simulate user sending /plex_status command
        response = await self.simulate_user_message(bot_app, "/plex_status")

        # Verify response contains expected elements
        assert "Plex Backup Status" in response
        assert any(emoji in response for emoji in ["🟢", "🟡", "🔴"])

    async def simulate_user_message(self, app, message):
        """Simulate user sending message to bot"""
        # Implementation for simulating Telegram messages
        # Return bot response for verification
        pass

Documentation Structure

telegram/docs/
├── README.md                   # Main project documentation
├── INSTALLATION.md             # Installation and setup guide
├── USER_GUIDE.md              # End-user command reference
├── ADMIN_GUIDE.md             # Administrator configuration
├── DEVELOPER_GUIDE.md         # Developer documentation
├── API_REFERENCE.md           # Complete API documentation
├── TROUBLESHOOTING.md         # Common issues and solutions
├── SECURITY.md                # Security best practices
├── DEPLOYMENT.md              # Production deployment guide
├── CHANGELOG.md               # Version history and changes
├── CONTRIBUTING.md            # Contribution guidelines
├── examples/                  # Usage examples and tutorials
│   ├── basic_usage.md
│   ├── advanced_features.md
│   └── integration_examples.md
└── assets/                    # Documentation images and diagrams
    ├── architecture_diagram.png
    ├── command_flow.png
    └── screenshots/

Documentation Examples

User Guide Sample

# Telegram Backup Bot User Guide

## Quick Start

### Getting Started
1. Find the bot: `@backup_monitor_bot`
2. Send `/start` to begin
3. Authenticate with `/auth <token>`
4. Check status with `/status`

### Essential Commands

#### System Status
- `/status` - Overall backup system status
- `/plex_status` - Plex backup status
- `/immich_status` - Immich backup status
- `/media_status` - Media services status

#### Performance Monitoring
- `/dashboard` - Comprehensive system overview
- `/trends` - Performance trends and analysis
- `/performance` - Detailed performance metrics

### Command Examples

#### Check Plex Status

/plex_status

Response:
🟢 Plex Backup Status

Last Backup: 2025-05-27 02:00:15
Status: ✅ Completed Successfully
Duration: 2m 34s
Files Backed Up: 47
Total Size: 1.2 GB


### Troubleshooting

#### Common Issues

**Bot not responding**
- Check bot status: `/ping`
- Verify permissions
- Contact administrator

**Status shows "Unknown"**
- Backup logs may be missing
- System may be initializing
- Try again in a few minutes

Deployment Infrastructure

Docker Configuration

# Dockerfile
FROM python:3.11-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements and install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY telegram/ ./telegram/
COPY config/ ./config/

# Create non-root user
RUN useradd -m -u 1000 botuser && chown -R botuser:botuser /app
USER botuser

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:8080/health || exit 1

# Run the bot
CMD ["python", "-m", "telegram.bot.main"]

Docker Compose Setup

# docker-compose.yml
version: '3.8'

services:
  telegram-bot:
    build: .
    container_name: backup-monitor-bot
    restart: unless-stopped
    environment:
      - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
      - LOG_LEVEL=${LOG_LEVEL:-INFO}
      - REDIS_URL=redis://redis:6379
    volumes:
      - ./config:/app/config:ro
      - ./logs:/app/logs
      - /home/acedanger/shell/logs:/backup-logs:ro
    depends_on:
      - redis
    networks:
      - bot-network
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  redis:
    image: redis:7-alpine
    container_name: bot-redis
    restart: unless-stopped
    volumes:
      - redis-data:/data
    networks:
      - bot-network

volumes:
  redis-data:

networks:
  bot-network:
    driver: bridge

Deployment Scripts

#!/bin/bash
# deploy.sh - Production deployment script

set -e

echo "🚀 Deploying Telegram Backup Bot..."

# Load environment variables
source .env.production

# Pull latest changes
git pull origin main

# Build new image
docker-compose build --no-cache

# Run tests
echo "🧪 Running tests..."
docker-compose -f docker-compose.test.yml up --abort-on-container-exit

# Deploy if tests pass
if [ $? -eq 0 ]; then
    echo "✅ Tests passed. Deploying..."

    # Stop old container
    docker-compose down

    # Start new container
    docker-compose up -d

    # Wait for health check
    echo "⏳ Waiting for health check..."
    sleep 30

    # Verify deployment
    if docker-compose ps | grep -q "Up (healthy)"; then
        echo "✅ Deployment successful!"

        # Send deployment notification
        curl -X POST "$WEBHOOK_URL" \
             -H "Content-Type: application/json" \
             -d '{"text":"🚀 Telegram bot deployed successfully"}'
    else
        echo "❌ Deployment failed - rolling back..."
        docker-compose down
        git checkout HEAD~1
        docker-compose up -d
        exit 1
    fi
else
    echo "❌ Tests failed. Deployment aborted."
    exit 1
fi

CI/CD Pipeline

# .github/workflows/test-and-deploy.yml
name: Test and Deploy

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v3

    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'

    - name: Install dependencies
      run: |
        pip install -r requirements.txt
        pip install -r requirements-dev.txt

    - name: Run linting
      run: |
        flake8 telegram/
        black --check telegram/

    - name: Run unit tests
      run: pytest tests/unit/ -v --cov=telegram/

    - name: Run integration tests
      run: pytest tests/integration/ -v

    - name: Security scan
      run: bandit -r telegram/

  deploy:
    needs: test
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'

    steps:
    - uses: actions/checkout@v3

    - name: Deploy to production
      run: |
        ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} \
          "cd /opt/telegram-bot && ./deploy.sh"

Success Criteria

95%+ test coverage achieved
All documentation complete and accurate
Docker deployment working reliably
CI/CD pipeline functional
Performance benchmarks established
Security scan passing
Production monitoring operational

Dependencies

Depends on: All previous issues (#01-08)
pytest for testing framework
Docker for containerization
GitHub Actions for CI/CD

Estimated Effort

Time: 6-7 days
Complexity: High

Testing Requirements

Unit test coverage >95%
Integration tests for all backup systems
End-to-end workflow testing
Performance benchmarking
Security testing comprehensive
Documentation accuracy verification

Notes

This final issue ensures the Telegram bot is production-ready with enterprise-level testing, documentation, and deployment capabilities. The focus is on reliability, maintainability, and operational excellence.

Originally created by @acedanger on GitHub (May 27, 2025). # Testing, Documentation, and Deployment ## Issue Summary Implement comprehensive testing suite, complete documentation, and production deployment setup for the Telegram backup monitoring bot, ensuring reliability, maintainability, and seamless deployment. ## Description Develop a complete testing framework, comprehensive documentation, and automated deployment pipeline to ensure the Telegram bot is production-ready, well-documented, and easily maintainable. ## Requirements ### Testing Framework - [ ] Unit tests for all core functionality - [ ] Integration tests for backup system interfaces - [ ] End-to-end tests for complete user workflows - [ ] Performance testing and benchmarking - [ ] Security testing for authorization and input validation - [ ] Mock testing for external dependencies - [ ] Automated test execution and reporting ### Documentation Suite - [ ] Complete API documentation - [ ] User guide with command examples - [ ] Administrator setup and configuration guide - [ ] Developer documentation for extending functionality - [ ] Troubleshooting and FAQ section - [ ] Architecture and design documentation - [ ] Security and deployment best practices ### Deployment Infrastructure - [ ] Docker containerization - [ ] Environment configuration management - [ ] Automated deployment scripts - [ ] Health monitoring and logging - [ ] Backup and recovery procedures - [ ] Service management and restart capabilities - [ ] Production environment setup ### Quality Assurance - [ ] Code linting and formatting standards - [ ] Security vulnerability scanning - [ ] Dependency management and updates - [ ] Performance monitoring in production - [ ] Error tracking and reporting - [ ] User feedback collection system ### Technical Implementation #### Testing Framework Structure ``` telegram/tests/ ├── unit/ │ ├── test_auth.py # Authentication tests │ ├── test_commands/ # Command handler tests │ │ ├── test_plex.py │ │ ├── test_immich.py │ │ ├── test_media.py │ │ ├── test_dashboard.py │ │ └── test_notifications.py │ ├── test_utils/ # Utility function tests │ └── test_security.py # Security validation tests ├── integration/ │ ├── test_backup_systems.py # Backup system integration │ ├── test_webhooks.py # Webhook integration │ ├── test_notifications.py # Notification delivery │ └── test_database.py # Data persistence ├── e2e/ │ ├── test_user_workflows.py # Complete user scenarios │ ├── test_admin_operations.py # Administrative workflows │ └── test_emergency_scenarios.py # Emergency procedures ├── performance/ │ ├── test_response_times.py # Response time benchmarks │ ├── test_memory_usage.py # Memory usage testing │ └── test_concurrent_users.py # Load testing ├── security/ │ ├── test_authorization.py # Authorization testing │ ├── test_input_validation.py # Input sanitization │ └── test_api_security.py # API security testing └── conftest.py # Test configuration and fixtures ``` #### Unit Testing Examples ```python import pytest import asyncio from unittest.mock import Mock, patch, AsyncMock from telegram.bot.commands.plex.status import PlexStatusHandler class TestPlexStatusHandler: @pytest.fixture def status_handler(self): return PlexStatusHandler() @pytest.fixture def mock_log_data(self): return { "timestamp": "2025-05-27T02:02:49Z", "status": "completed", "duration": "2m 34s", "size": "1.2 GB", "files": 47 } @pytest.mark.asyncio async def test_get_plex_status_success(self, status_handler, mock_log_data): """Test successful Plex status retrieval""" with patch('telegram.bot.utils.plex_parser.parse_latest_log') as mock_parse: mock_parse.return_value = mock_log_data result = await status_handler.get_status() assert result['status'] == 'completed' assert result['duration'] == '2m 34s' assert result['size'] == '1.2 GB' mock_parse.assert_called_once() @pytest.mark.asyncio async def test_get_plex_status_file_not_found(self, status_handler): """Test Plex status when log file is missing""" with patch('telegram.bot.utils.plex_parser.parse_latest_log') as mock_parse: mock_parse.side_effect = FileNotFoundError("Log file not found") result = await status_handler.get_status() assert result['status'] == 'unknown' assert 'error' in result def test_format_status_message(self, status_handler, mock_log_data): """Test status message formatting""" formatted = status_handler.format_status_message(mock_log_data) assert "🟢 Plex Backup Status" in formatted assert "✅ Completed Successfully" in formatted assert "2m 34s" in formatted assert "1.2 GB" in formatted ``` #### Integration Testing ```python import pytest import subprocess from telegram.bot.utils.script_runner import ScriptRunner class TestBackupSystemIntegration: @pytest.fixture def script_runner(self): return ScriptRunner() @pytest.mark.integration async def test_plex_backup_script_execution(self, script_runner): """Test actual Plex backup script execution""" # Run in dry-run mode to avoid actual backup result = await script_runner.execute_script( "/home/acedanger/shell/plex/backup-plex.sh", ["--dry-run"] ) assert result.return_code == 0 assert "dry run" in result.stdout.lower() @pytest.mark.integration async def test_backup_log_parsing(self, script_runner): """Test parsing actual backup logs""" # Ensure test log file exists test_log_path = "/tmp/test_plex_backup.json" # Create test log entry test_data = { "timestamp": "2025-05-27T10:00:00Z", "status": "completed", "duration": "1m 30s" } with open(test_log_path, 'w') as f: json.dump(test_data, f) # Test parsing from telegram.bot.utils.plex_parser import parse_log_file result = parse_log_file(test_log_path) assert result['status'] == 'completed' assert result['duration'] == '1m 30s' ``` #### End-to-End Testing ```python import pytest from telegram.ext import ApplicationBuilder from telegram.bot.main import TelegramBot class TestUserWorkflows: @pytest.fixture async def bot_app(self): """Create test bot application""" bot = TelegramBot(test_mode=True) app = await bot.create_application() yield app await app.shutdown() @pytest.mark.e2e async def test_complete_status_check_workflow(self, bot_app): """Test complete user workflow for checking status""" # Simulate user sending /start command await self.simulate_user_message(bot_app, "/start") # Simulate user sending /plex_status command response = await self.simulate_user_message(bot_app, "/plex_status") # Verify response contains expected elements assert "Plex Backup Status" in response assert any(emoji in response for emoji in ["🟢", "🟡", "🔴"]) async def simulate_user_message(self, app, message): """Simulate user sending message to bot""" # Implementation for simulating Telegram messages # Return bot response for verification pass ``` ### Documentation Structure ``` telegram/docs/ ├── README.md # Main project documentation ├── INSTALLATION.md # Installation and setup guide ├── USER_GUIDE.md # End-user command reference ├── ADMIN_GUIDE.md # Administrator configuration ├── DEVELOPER_GUIDE.md # Developer documentation ├── API_REFERENCE.md # Complete API documentation ├── TROUBLESHOOTING.md # Common issues and solutions ├── SECURITY.md # Security best practices ├── DEPLOYMENT.md # Production deployment guide ├── CHANGELOG.md # Version history and changes ├── CONTRIBUTING.md # Contribution guidelines ├── examples/ # Usage examples and tutorials │ ├── basic_usage.md │ ├── advanced_features.md │ └── integration_examples.md └── assets/ # Documentation images and diagrams ├── architecture_diagram.png ├── command_flow.png └── screenshots/ ``` #### Documentation Examples ##### User Guide Sample ```markdown # Telegram Backup Bot User Guide ## Quick Start ### Getting Started 1. Find the bot: `@backup_monitor_bot` 2. Send `/start` to begin 3. Authenticate with `/auth <token>` 4. Check status with `/status` ### Essential Commands #### System Status - `/status` - Overall backup system status - `/plex_status` - Plex backup status - `/immich_status` - Immich backup status - `/media_status` - Media services status #### Performance Monitoring - `/dashboard` - Comprehensive system overview - `/trends` - Performance trends and analysis - `/performance` - Detailed performance metrics ### Command Examples #### Check Plex Status ``` /plex_status Response: 🟢 Plex Backup Status Last Backup: 2025-05-27 02:00:15 Status: ✅ Completed Successfully Duration: 2m 34s Files Backed Up: 47 Total Size: 1.2 GB ``` ### Troubleshooting #### Common Issues **Bot not responding** - Check bot status: `/ping` - Verify permissions - Contact administrator **Status shows "Unknown"** - Backup logs may be missing - System may be initializing - Try again in a few minutes ``` ### Deployment Infrastructure #### Docker Configuration ```dockerfile # Dockerfile FROM python:3.11-slim WORKDIR /app # Install system dependencies RUN apt-get update && apt-get install -y \ curl \ && rm -rf /var/lib/apt/lists/* # Copy requirements and install Python dependencies COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt # Copy application code COPY telegram/ ./telegram/ COPY config/ ./config/ # Create non-root user RUN useradd -m -u 1000 botuser && chown -R botuser:botuser /app USER botuser # Health check HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \ CMD curl -f http://localhost:8080/health || exit 1 # Run the bot CMD ["python", "-m", "telegram.bot.main"] ``` #### Docker Compose Setup ```yaml # docker-compose.yml version: '3.8' services: telegram-bot: build: . container_name: backup-monitor-bot restart: unless-stopped environment: - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN} - LOG_LEVEL=${LOG_LEVEL:-INFO} - REDIS_URL=redis://redis:6379 volumes: - ./config:/app/config:ro - ./logs:/app/logs - /home/acedanger/shell/logs:/backup-logs:ro depends_on: - redis networks: - bot-network healthcheck: test: ["CMD", "curl", "-f", "http://localhost:8080/health"] interval: 30s timeout: 10s retries: 3 redis: image: redis:7-alpine container_name: bot-redis restart: unless-stopped volumes: - redis-data:/data networks: - bot-network volumes: redis-data: networks: bot-network: driver: bridge ``` #### Deployment Scripts ```bash #!/bin/bash # deploy.sh - Production deployment script set -e echo "🚀 Deploying Telegram Backup Bot..." # Load environment variables source .env.production # Pull latest changes git pull origin main # Build new image docker-compose build --no-cache # Run tests echo "🧪 Running tests..." docker-compose -f docker-compose.test.yml up --abort-on-container-exit # Deploy if tests pass if [ $? -eq 0 ]; then echo "✅ Tests passed. Deploying..." # Stop old container docker-compose down # Start new container docker-compose up -d # Wait for health check echo "⏳ Waiting for health check..." sleep 30 # Verify deployment if docker-compose ps | grep -q "Up (healthy)"; then echo "✅ Deployment successful!" # Send deployment notification curl -X POST "$WEBHOOK_URL" \ -H "Content-Type: application/json" \ -d '{"text":"🚀 Telegram bot deployed successfully"}' else echo "❌ Deployment failed - rolling back..." docker-compose down git checkout HEAD~1 docker-compose up -d exit 1 fi else echo "❌ Tests failed. Deployment aborted." exit 1 fi ``` ### CI/CD Pipeline ```yaml # .github/workflows/test-and-deploy.yml name: Test and Deploy on: push: branches: [main] pull_request: branches: [main] jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v4 with: python-version: '3.11' - name: Install dependencies run: | pip install -r requirements.txt pip install -r requirements-dev.txt - name: Run linting run: | flake8 telegram/ black --check telegram/ - name: Run unit tests run: pytest tests/unit/ -v --cov=telegram/ - name: Run integration tests run: pytest tests/integration/ -v - name: Security scan run: bandit -r telegram/ deploy: needs: test runs-on: ubuntu-latest if: github.ref == 'refs/heads/main' steps: - uses: actions/checkout@v3 - name: Deploy to production run: | ssh ${{ secrets.DEPLOY_USER }}@${{ secrets.DEPLOY_HOST }} \ "cd /opt/telegram-bot && ./deploy.sh" ``` ### Success Criteria - [ ] 95%+ test coverage achieved - [ ] All documentation complete and accurate - [ ] Docker deployment working reliably - [ ] CI/CD pipeline functional - [ ] Performance benchmarks established - [ ] Security scan passing - [ ] Production monitoring operational ## Dependencies - Depends on: All previous issues (#01-08) - pytest for testing framework - Docker for containerization - GitHub Actions for CI/CD ## Estimated Effort **Time**: 6-7 days **Complexity**: High ## Testing Requirements - [ ] Unit test coverage >95% - [ ] Integration tests for all backup systems - [ ] End-to-end workflow testing - [ ] Performance benchmarking - [ ] Security testing comprehensive - [ ] Documentation accuracy verification ## Notes This final issue ensures the Telegram bot is production-ready with enterprise-level testing, documentation, and deployment capabilities. The focus is on reliability, maintainability, and operational excellence.

peterwood added the enhancement label 2025-10-29 19:44:55 -07:00

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Reference: peterwood/shell#9