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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
39 lines
816 B
Docker
39 lines
816 B
Docker
# Dockerfile for Nairobi Information Collector
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FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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postgresql-client \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Download spaCy model (for NLP)
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RUN python -m spacy download en_core_web_sm
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# Copy application code
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COPY . .
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# Create logs directory
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RUN mkdir -p logs
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/api/v1/health || exit 1
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# Run the application
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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