chore(deps): lock pandas to 2.3.3 and add upper bounds
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@@ -1,46 +1,46 @@
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# Conda environment for MES Dashboard
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# Usage: conda env create -f environment.yml
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# conda activate mes-dashboard
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#
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# Note: Most packages use minimum version pins (>=) to allow automatic security updates.
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# For reproducible builds, generate a lock file: pip freeze > requirements.lock
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name: mes-dashboard
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channels:
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- conda-forge
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- defaults
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# Conda environment for MES Dashboard
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# Usage: conda env create -f environment.yml
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# conda activate mes-dashboard
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#
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# Note: Packages use bounded ranges (>=,<) to avoid accidental major-version breaks.
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# For reproducible builds, generate a lock file: pip freeze > requirements.lock
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name: mes-dashboard
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channels:
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- conda-forge
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- defaults
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dependencies:
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# Python version - pinned for consistency across deployments
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- python=3.11
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# Frontend build toolchain (Vite)
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- nodejs>=22
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# Use pip for Python packages (better compatibility with pypi packages)
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- pip
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- pip:
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# Core Framework
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- flask>=3.0.0
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# Database
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- oracledb>=2.0.0
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- sqlalchemy>=2.0.0
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# Data Processing
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- pandas>=2.0.0
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- openpyxl>=3.0.0
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# Cache (Redis)
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- redis>=5.0.0
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- hiredis>=2.0.0 # C parser for better performance
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# HTTP Client
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- requests>=2.28.0
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# Configuration
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- python-dotenv>=1.0.0
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# WSGI Server (Production)
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- gunicorn>=21.2.0
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# System Monitoring
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- psutil>=5.9.0
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# Use pip for Python packages (better compatibility with pypi packages)
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- pip
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- pip:
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# Core Framework
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- flask>=3.0.0,<4.0.0
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# Database
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- oracledb>=2.0.0,<4.0.0
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- sqlalchemy>=2.0.0,<3.0.0
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# Data Processing
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- pandas==2.3.3 # Pin DBAPI2-compatible release for current pd.read_sql flow
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- openpyxl>=3.0.0
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# Cache (Redis)
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- redis>=5.0.0,<6.0.0
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- hiredis>=2.0.0,<4.0.0 # C parser for better performance
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# HTTP Client
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- requests>=2.28.0,<3.0.0
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# Configuration
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- python-dotenv>=1.0.0,<2.0.0
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# WSGI Server (Production)
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- gunicorn>=21.2.0,<25.0.0
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# System Monitoring
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- psutil>=5.9.0,<7.0.0
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