58e4c87fb6
Replace per-interaction Oracle queries with a two-phase model: - POST /query: single Oracle hit, cache full LOT-level DataFrame (L1+L2) - GET /view: read cache, apply supplementary/interactive filters via pandas Add container query mode (LOT/工單/WAFER LOT with wildcard support), supplementary filters (Package/WC GROUP/Reason) from cached data, PB_* series exclusion (was PB_Diode only), and query loading spinner. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
38 lines
1.0 KiB
Plaintext
38 lines
1.0 KiB
Plaintext
# MES Dashboard Dependencies
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# ===========================
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#
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# Version Strategy:
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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,<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 # pandas 3.x removed DBAPI2 flow used by current pd.read_sql + SQLAlchemy usage
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pyarrow>=17.0.0,<20.0.0 # Parquet serialization for Redis DataFrame cache
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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,<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,<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
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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,<7.0.0 # Process and system utilities
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