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>
48 lines
1.3 KiB
YAML
48 lines
1.3 KiB
YAML
# 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,<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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- pyarrow>=17.0.0,<20.0.0 # Parquet serialization for Redis DataFrame cache
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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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