chore(deps): lock pandas to 2.3.3 and add upper bounds

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egg
2026-02-13 14:41:34 +08:00
parent 5a47bc87d8
commit 653900dc15
3 changed files with 66 additions and 65 deletions

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@@ -1,46 +1,46 @@
# Conda environment for MES Dashboard
# Usage: conda env create -f environment.yml
# conda activate mes-dashboard
#
# Note: Most packages use minimum version pins (>=) to allow automatic security updates.
# For reproducible builds, generate a lock file: pip freeze > requirements.lock
name: mes-dashboard
channels:
- conda-forge
- defaults
# 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
# Database
- oracledb>=2.0.0
- sqlalchemy>=2.0.0
# Data Processing
- pandas>=2.0.0
- openpyxl>=3.0.0
# Cache (Redis)
- redis>=5.0.0
- hiredis>=2.0.0 # C parser for better performance
# HTTP Client
- requests>=2.28.0
# Configuration
- python-dotenv>=1.0.0
# WSGI Server (Production)
- gunicorn>=21.2.0
# System Monitoring
- psutil>=5.9.0
# 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
- 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
# 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