The deployment scripts were missing the docker-prep.sh step which is required
to pack @bytelyst/* packages into .docker-deps directory and modify package.json
files to use local tarballs. Without this, Docker build fails trying to install
packages from npm registry instead of local tarballs.
Generated with [Devin](https://cli.devin.ai/docs)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
- deploy-invttrdg.sh: Single-repo deployment for trading platform
* Dirty checks (uncommitted changes, unpushed commits)
* Pre-deployment smoke tests (backend contracts, web DOM tests)
* Docker build and deployment (backend + web)
* Post-deployment validation (health checks, endpoint verification)
* Comprehensive smoke testing for production-grade deployment
- deploy-all.sh: Multi-repo deployment orchestration
* Deploy all 4 production repos or specific ones
* Same safety checks and deployment process for each repo
* Health checks for all services
- DEPLOYMENT_GUIDE.md: Complete deployment documentation
* Usage instructions for both scripts
* Service endpoint mappings
* Troubleshooting guide
* Docker management commands
These scripts enable safe, tested production deployments with
comprehensive validation at every stage.
Generated with [Devin](https://cli.devin.ai/docs)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
- Add c7bbO_KSLPI_complete_transcript_summary.md with comprehensive bilingual astrological analysis
- Update config.json to use correct Perplexity API model 'sonar'
- Generated summary includes ALP astrology methodology in Tamil and English
- Professional markdown format with structured learning content
- Add summarize_with_perplexity.py script for generating summaries using Perplexity API
- Add config.json for configurable API settings, model parameters, and file paths
- Support for custom prompts and transcript files
- Configurable logging and output formatting
- Integration with existing YouTube transcription workflow
- Integrate Perplexity AI API for intelligent question answering
- Add AIResponseHandler class with question detection and response generation
- Implement automatic question detection using regex patterns
- Add AI commands: /perplexity, /ai on/off for configuration
- Display AI responses in terminal before sending to Slack
- Update configuration management to store Perplexity API key
- Add comprehensive AI features documentation to README
- Update requirements.txt with OpenAI library dependency
- Fix Perplexity model name to use valid 'sonar' model
- Enhance interactive chat mode with AI-powered capabilities
- Maintain backward compatibility with existing CLI functionality
- Add interactive chat mode with persistent configuration storage
- Implement real-time message receiving with polling mechanism
- Add threading support for simultaneous send/receive operations
- Create MessageReceiver class for handling incoming messages
- Add commands: /listen, /stop, /history for two-way communication
- Display sent messages in terminal with timestamps
- Support for environment variables and .env file loading
- Enhanced error handling and user-friendly prompts
- Update README with comprehensive two-way communication documentation
- Maintain backward compatibility with original CLI functionality
- Add remove_user_interactive.sh with rich visual logging and progress tracking
- Support wildcard patterns for repository matching (*-go-api*, frontend-*, etc.)
- Handle both root account and organization repositories
- Implement flexible confirmation system (yes/no/all/skip/quit)
- Add comprehensive documentation and usage examples
- Update README.md with tool overview and usage instructions
- Create CLAUDE.md for repository guidance
- Add detailed documentation in docs/remove_user_interactive.md
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
