# Conda environment for MES Dashboard
# Usage: conda env create -f environment.yml
#        conda activate mes-dashboard
#
# Note: Packages use bounded ranges (>=,<) to avoid accidental major-version breaks.
# For reproducible builds, generate a lock file: pip freeze > requirements.lock

name: mes-dashboard
channels:
  - conda-forge
  - defaults
dependencies:
  # Python version - pinned for consistency across deployments
  - python=3.11
  # Frontend build toolchain (Vite)
  - nodejs>=22

  # Use pip for Python packages (better compatibility with pypi packages)
  - pip
  - pip:
      # Core Framework
      - flask>=3.0.0,<4.0.0

      # Database
      - oracledb>=2.0.0,<4.0.0
      - sqlalchemy>=2.0.0,<3.0.0

      # Data Processing
      - pandas==2.3.3   # Pin DBAPI2-compatible release for current pd.read_sql flow
      - pyarrow>=17.0.0,<20.0.0   # Parquet serialization for Redis DataFrame cache
      - openpyxl>=3.0.0

      # Cache (Redis)
      - redis>=5.0.0,<6.0.0
      - hiredis>=2.0.0,<4.0.0      # C parser for better performance

      # Task Queue (async trace jobs)
      - rq>=1.16.0,<2.0.0

      # HTTP Client
      - requests>=2.28.0,<3.0.0

      # Configuration
      - python-dotenv>=1.0.0,<2.0.0

      # WSGI Server (Production)
      - gunicorn>=21.2.0,<25.0.0

      # System Monitoring
      - psutil>=5.9.0,<7.0.0