2025-07-11 14:11:44 +00:00
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2025-07-11 13:52:19 +00:00
2025-07-11 13:52:19 +00:00
2025-07-11 14:11:44 +00:00

The main issues are with system-level dependencies like libreoffice and gcc which aren't typically managed through conda on macOS.

name: classroomcopilot-backend
channels:
  - conda-forge
  - nodefaults
dependencies:
  - python=3.11
  # Core dependencies
  - pip
  - setuptools
  - wheel
  # Server dependencies
  - fastapi
  - uvicorn
  - python-dotenv
  - python-multipart
  - python-jose
  - pyjwt
  - jinja2
  # Database and Auth
  - sqlalchemy
  - sqlalchemy-utils
  - asyncpg
  - redis-py
  # Neo4j
  - neo4j-python-driver
  # Data Processing
  - pandas
  - scipy
  - requests
  - openpyxl
  - scikit-learn
  # Testing
  - pytest
  - pytest-html
  # Database clients
  - postgresql
  - libpq
  # Additional dependencies via pip
  - pip:
    # Supabase
    - supabase
    # Neo4j specific
    - neontology
    # Document Processing
    - python-pptx
    - python-docx
    - pdfminer.six
    - Pillow
    - psutil
    # Web Scraping and Processing
    - emoji
    - extruct
    - w3lib
    # Google APIs
    - youtube-transcript-api
    - google-api-python-client
    - google-auth-oauthlib
    # LangChain Ecosystem
    - "langchain[llms]"
    - langchain-community
    - langchain-openai
    - langgraph
    # OpenAI
    - openai
    - ollama
    # Microsoft Authentication
    - msal

I've made several important changes to make the conda environment more compatible:

  1. Removed system-level dependencies that should be installed via the system package manager:

    • libreoffice - Install via Homebrew on macOS (brew install libreoffice)
    • gcc - Install via Xcode Command Line Tools on macOS
    • poppler - Install via Homebrew on macOS (brew install poppler)
  2. Changed channel configuration:

    • Using only conda-forge with nodefaults to avoid package conflicts
    • This provides better consistency across platforms
  3. Fixed the langchain[llms] specification by adding quotes to handle the square brackets properly

For macOS users, here are the steps to set up the environment:

  1. First, install system dependencies:
# Install Xcode Command Line Tools (if not already installed)
xcode-select --install

# Install other system dependencies via Homebrew
brew install libreoffice poppler postgresql
  1. Then create the conda environment:
conda env create -f backend/requirements.conda.yml
  1. Activate the environment:
conda activate classroomcopilot-backend

This setup should now work properly on macOS while still maintaining compatibility with the Docker environment for production. The system-level dependencies are handled by the appropriate system package manager (Homebrew for macOS) rather than conda, which is the recommended approach for these types of dependencies.

Would you like me to make any additional adjustments to the environment configuration?

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