trevor/TG_autoposter
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
b8136138dc97956acc75b50e3bc60dc5ad98337e
TG_autoposter/RESOURCES_AND_REFERENCES.md
Andrew K. Choi a6817e487e init commit
2025-12-18 05:55:32 +09:00

12 KiB
Raw Blame History

Resources & References

📚 Official Documentation Links

Telegram

Python Libraries

Pyrogram

Telethon

Celery

SQLAlchemy

APScheduler

Database & Cache

PostgreSQL

Redis

DevOps & Deployment

Docker

Kubernetes

GitHub Actions

Code Quality

Pre-commit

Black

isort

mypy

pytest

🎯 Project-Specific Guides

Getting Started

  1. README.md - Project overview and quick start
  2. DOCKER_QUICKSTART.md - 5-minute quick start
  3. FIRST_RUN.sh - Interactive setup script

Development

  1. DEVELOPMENT.md - Full development guide
  2. docs/DOCKER_CELERY.md - Docker & Celery details
  3. PRE_LAUNCH_CHECKLIST.md - Pre-launch verification

Production

  1. PRODUCTION_DEPLOYMENT.md - Deployment guide
  2. docker-compose.prod.yml - Production configuration
  3. docs/DOCKER_CELERY_SUMMARY.md - Feature summary

Architecture & Reference

  1. PROJECT_STRUCTURE.md - File organization
  2. IMPROVEMENTS_SUMMARY.md - All changes made
  3. docs/ARCHITECTURE.md - System design (if exists)

🔗 Common Commands & Quick Reference

Project Management

# Quick start
chmod +x quickstart.sh
./quickstart.sh

# Or use Make
make up                    # Start services
make down                  # Stop services
make logs                  # View logs
make test                  # Run tests
make lint                  # Check code

# Or use docker.sh
./docker.sh up
./docker.sh logs
./docker.sh celery-status

Docker Operations

docker-compose ps                          # List services
docker-compose logs -f                     # Follow logs
docker-compose logs -f [service]           # Follow specific service
docker-compose exec [service] bash         # Shell into service
docker-compose restart [service]           # Restart service
docker-compose down -v                     # Complete cleanup

# Production
docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d

Database Operations

# Connect
docker-compose exec postgres psql -U bot -d tg_autoposter

# Backup
docker-compose exec -T postgres pg_dump -U bot tg_autoposter > backup.sql

# Restore
gunzip < backup.sql.gz | docker-compose exec -T postgres psql -U bot tg_autoposter

# Migrations
docker-compose exec bot alembic upgrade head
docker-compose exec bot alembic downgrade -1
docker-compose exec bot alembic revision -m "description"

Monitoring

# Flower (Task Queue Monitoring)
# Open: http://localhost:5555
# Login: admin / (password from .env)

# Docker Stats
docker stats

# Logs
docker-compose logs -f bot
docker-compose logs -f celery_worker_send

# Check service health
docker-compose ps

Development

# Format code
make fmt
black app/
isort app/

# Lint
make lint
flake8 app/
mypy app/

# Test
make test
pytest
pytest --cov=app

# Shell
make shell
python -i -c "from app import *"

# Install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt

📖 Learning Resources

Python Async Programming

Database Design

Microservices Architecture

Task Queue Patterns

Container Orchestration

🤝 Community & Support

Telegram Communities

GitHub Resources

Stack Overflow Tags

🎓 Tutorials & Courses

Free Resources

Paid Resources

💡 Tips & Best Practices

Development

  • Use virtual environments (venv or poetry)
  • Write tests before implementing features
  • Use type hints for better IDE support
  • Keep functions small and focused
  • Document complex logic

Deployment

  • Always use .env for secrets
  • Test in staging before production
  • Use health checks for all services
  • Set up proper logging
  • Monitor resource usage
  • Plan for scaling

Security

  • Never commit .env files
  • Use strong passwords (12+ characters)
  • Keep dependencies updated
  • Use HTTPS in production
  • Validate all inputs
  • Limit admin access

Monitoring

  • Set up log aggregation
  • Monitor key metrics (CPU, memory, disk)
  • Track error rates
  • Monitor response times
  • Alert on anomalies

📞 Getting Help

If Something Goes Wrong

  1. Check Logs First

    docker-compose logs [service] --tail 50

  2. Read Documentation

    • DEVELOPMENT.md for dev issues
    • PRODUCTION_DEPLOYMENT.md for prod issues
    • docs/ folder for detailed guides

  3. Search Online

    • GitHub Issues of related projects
    • Stack Overflow with relevant tags
    • Library documentation

  4. Ask for Help

    • GitHub Issues (be specific about the problem)
    • GitHub Discussions (for general questions)
    • Stack Overflow (for common issues)
    • Community forums (language/framework specific)

📋 Checklist for Reading Documentation

Before starting development/deployment:

  • Read README.md
  • Read relevant guide (DEVELOPMENT.md or PRODUCTION_DEPLOYMENT.md)
  • Skim docs/ folder
  • Check IMPROVEMENTS_SUMMARY.md for what's new
  • Review PROJECT_STRUCTURE.md for file organization
  • Run PRE_LAUNCH_CHECKLIST.md before going live

🎯 Next Steps

Immediate (Today)

  1. Complete PRE_LAUNCH_CHECKLIST.md
  2. Start services with quickstart.sh
  3. Test bot in Telegram
  4. Review Flower dashboard

Short Term (This Week)

  1. Read DEVELOPMENT.md
  2. Create test messages
  3. Set up monitoring
  4. Test scheduling features

Medium Term (This Month)

  1. Read PRODUCTION_DEPLOYMENT.md
  2. Plan production deployment
  3. Set up backups
  4. Configure auto-scaling

Long Term (Ongoing)

  1. Monitor and maintain
  2. Update dependencies
  3. Add new features
  4. Performance optimization

Resource Version: 1.0
Last Updated: 2024-01-01
Completeness: Comprehensive ✅