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https://git.datalinker.icu/deepseek-ai/DeepSeek-V3.git
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Comprehensive intelligence retrieval system for collecting and aggregating information about Nairobi, Kenya from multiple sources. Features: - Multi-source data collection (news, social media, government, tourism, business) - RESTful API with FastAPI - Automated scheduling for continuous data collection - Intelligence brief generation - Real-time trending topics tracking - Alert system for important updates - Web scraping with rate limiting and caching - Social media integration (Twitter, Instagram) - NLP-powered categorization and processing - Docker support for easy deployment - CLI for manual operations Components: - Data models with SQLAlchemy - Base collector class with extensible architecture - Source-specific collectors (news, social, government, tourism, business) - Data processor for brief generation - Scheduler for automated collection - Comprehensive API endpoints - CLI interface for manual control Documentation: - Complete README with setup instructions - Quick start guide - Example usage scripts - Docker Compose configuration - Environment configuration templates
66 lines
509 B
Plaintext
66 lines
509 B
Plaintext
# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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venv/
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env/
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ENV/
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.venv
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# Environment variables
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.env
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.env.local
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.env.*.local
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# Database
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*.db
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*.sqlite
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*.sqlite3
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# Logs
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logs/
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*.log
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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.DS_Store
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# Testing
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.pytest_cache/
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.coverage
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htmlcov/
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.tox/
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# Jupyter
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.ipynb_checkpoints
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# Docker
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*.pid
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.dockerignore
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# OS
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Thumbs.db
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