chore(deps): lock pandas to 2.3.3 and add upper bounds
This commit is contained in:
@@ -2,7 +2,7 @@
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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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# 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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@@ -19,28 +19,28 @@ dependencies:
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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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- flask>=3.0.0,<4.0.0
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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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- 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>=2.0.0
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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
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- hiredis>=2.0.0 # C parser for better performance
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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
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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
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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
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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
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- psutil>=5.9.0,<7.0.0
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@@ -22,36 +22,37 @@ classifiers = [
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"License :: OSI Approved :: MIT License",
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]
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# Note: Using minimum version pins (>=) to allow automatic security updates.
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# Note: Use bounded ranges (>=,<) to avoid accidental major-version breaks.
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# For reproducible builds, use: pip freeze > requirements.lock
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dependencies = [
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# Core Framework
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"flask>=3.0.0",
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"flask>=3.0.0,<4.0.0",
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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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"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>=2.0.0",
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# Pin pandas to a DBAPI2-compatible release for current pd.read_sql flow.
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"pandas==2.3.3",
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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",
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"redis>=5.0.0,<6.0.0",
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"hiredis>=2.0.0,<4.0.0",
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# HTTP Client
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"requests>=2.28.0",
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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",
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"python-dotenv>=1.0.0,<2.0.0",
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# WSGI Server
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"gunicorn>=21.2.0",
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"waitress>=2.1.2; platform_system == 'Windows'",
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"gunicorn>=21.2.0,<25.0.0",
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"waitress>=2.1.2,<4.0.0; platform_system == 'Windows'",
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# System Monitoring
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"psutil>=5.9.0",
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"psutil>=5.9.0,<7.0.0",
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]
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[project.optional-dependencies]
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@@ -2,35 +2,35 @@
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# ===========================
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#
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# Version Strategy:
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# Using minimum version pins (>=) to allow automatic security updates.
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# Use bounded version 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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#
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# Python Version: >=3.9 (recommended: 3.11)
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# Core Framework
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flask>=3.0.0
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flask>=3.0.0,<4.0.0
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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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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>=2.0.0 # Note: numpy is installed as a dependency
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pandas==2.3.3 # pandas 3.x removed DBAPI2 flow used by current pd.read_sql + SQLAlchemy usage
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openpyxl>=3.0.0 # Excel file support
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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 Redis performance
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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 Redis performance
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# HTTP Client
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requests>=2.28.0
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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
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python-dotenv>=1.0.0,<2.0.0
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# WSGI Server
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gunicorn>=21.2.0 # Linux/macOS production server
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waitress>=2.1.2; platform_system=="Windows" # Windows alternative
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gunicorn>=21.2.0,<25.0.0 # Linux/macOS production server
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waitress>=2.1.2,<4.0.0; platform_system=="Windows" # Windows alternative
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# System Monitoring
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psutil>=5.9.0 # Process and system utilities
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psutil>=5.9.0,<7.0.0 # Process and system utilities
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