Travis Vasceannie
e0bfb7a2f2
* feat: enhance coverage reporting and improve tool configuration - Added support for JSON coverage reports in pyproject.toml. - Updated .gitignore to include coverage.json and task files for better management. - Introduced a new Type Safety Audit Report to document findings and recommendations for type safety improvements. - Created a comprehensive coverage configuration guide to assist in understanding coverage reporting setup. - Refactored tools configuration to utilize environment variables for concurrent scraping settings. These changes improve the project's testing and reporting capabilities while enhancing overall code quality and maintainability. * feat: enhance configuration handling and improve error logging - Introduced a new utility function `_get_env_int` for robust environment variable integer retrieval with validation. - Updated `WebToolsConfig` and `ToolsConfigModel` to utilize the new utility for environment variable defaults. - Enhanced logging in `CircuitBreaker` to provide detailed state transition information. - Improved URL handling in `url_analyzer.py` for better file extension extraction and normalization. - Added type validation and logging in `SecureInputMixin` to ensure input sanitization and validation consistency. These changes improve the reliability and maintainability of configuration management and error handling across the codebase. * refactor: update imports and enhance .gitignore for improved organization - Updated import paths in various example scripts to reflect the new structure under `biz_bud`. - Enhanced .gitignore to include clearer formatting for task files. - Removed obsolete function calls and improved error handling in several scripts. - Added public alias for backward compatibility in `upload_r2r.py`. These changes improve code organization, maintainability, and compatibility across the project. * refactor: update graph paths in langgraph.json for improved organization - Changed paths for research, catalog, paperless, and url_to_r2r graphs to reflect new directory structure. - Added new entries for analysis and scraping graphs to enhance functionality. These changes improve the organization and maintainability of the graph configurations. * fix: enhance validation and error handling in date range and scraping functions - Updated date validation in UserFiltersModel to ensure date values are strings. - Improved error messages in create_scraped_content_dict to clarify conditions for success and failure. - Enhanced test coverage for date validation and scraping content creation to ensure robustness. These changes improve input validation and error handling across the application, enhancing overall reliability. * refactor: streamline graph creation and enhance type annotations in examples - Simplified graph creation in `catalog_ingredient_research_example.py` and `catalog_tech_components_example.py` by directly compiling the graph. - Updated type annotations in `catalog_intel_with_config.py` for improved clarity and consistency. - Enhanced error handling in catalog data processing to ensure robustness against unexpected data types. These changes improve code readability, maintainability, and error resilience across example scripts. * Update src/biz_bud/nodes/extraction/extractors.py Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com> * Update src/biz_bud/core/validation/pydantic_models.py Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com> * refactor: migrate Jina and Tavily clients to use ServiceFactory dependency injection * refactor: migrate URL processing to provider-based architecture with improved error handling * feat: add FirecrawlApp compatibility classes and mock implementations * fix: add thread-safe locking to LazyLoader factory management * feat: implement service restart and refactor cache decorator helpers * refactor: move r2r_direct_api_call to tools.clients.r2r_utils and improve HTTP service error handling * chore: update Sonar task IDs in report configuration --------- Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
77 lines
2.1 KiB
Docker
77 lines
2.1 KiB
Docker
# Production Dockerfile for Business Buddy FastAPI with LangGraph
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FROM python:3.12-slim
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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DEBIAN_FRONTEND=noninteractive \
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TZ=UTC
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# Install system dependencies, UV package manager, Node.js, and Python packages
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RUN apt-get update && apt-get install -y \
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build-essential \
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ca-certificates \
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curl \
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git \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --no-cache-dir uv \
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&& curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - \
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&& apt-get install -y nodejs \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --no-cache-dir langgraph-cli uvicorn
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# Create app user
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RUN useradd --create-home --shell /bin/bash app
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# Set working directory
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WORKDIR /app
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# Copy dependency files one by one to ensure they're included
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COPY pyproject.toml ./
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COPY uv.lock ./
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# Create a default README.md and copy it
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RUN echo "# Business Buddy\n\nDocker build placeholder README" > /tmp/README.md
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# Try to copy README.md if it exists, otherwise use the default
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RUN if [ -f README.md ]; then \
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echo "Using provided README.md"; \
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else \
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cp /tmp/README.md ./; \
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echo "Using default README.md"; \
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fi
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# Copy packages directory
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COPY packages/ ./packages/
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# Copy application code first
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COPY src/ ./src/
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COPY langgraph.json config.yaml ./
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# Set PYTHONPATH to include the src directory
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ENV PYTHONPATH=/app/src
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# Install the package and its dependencies
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RUN uv pip install --system .
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# Install production dependencies only
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RUN uv sync --frozen --no-dev
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# Remove this line - use environment variables or runtime secrets instead
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# Set proper ownership
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RUN chown -R app:app /app
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# Switch to app user
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USER app
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# Create directories for logs and data
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RUN mkdir -p /app/logs /app/data
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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/health || exit 1
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# Set the entrypoint to run the FastAPI app with uvicorn using Python module path
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ENTRYPOINT ["python", "-m", "uvicorn", "biz_bud.webapp:app", "--host", "0.0.0.0", "--port", "8000"]
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