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oliver
19ab1a64a1
pandas + numpy were ~60MB of the shipped venv for three call sites (alarm Excel import, managed-NE import, import template). netx_api/tabular.py reads/writes xlsx and csv and parses spreadsheet timestamps. Checked against the pandas version on the same inputs: timestamp parsing identical for 24 formats, managed-NE csv/xlsx import, stored rows and both templates identical. Differences, all fixes: - alarm codes in mixed text/number columns are "1001", not "1001.0" - error row numbers are the real sheet rows (blank rows no longer shift them) - GBK-encoded CSVs (Chinese Excel "Save as CSV") import instead of failing - "2024年1月2日 03:04:05" style timestamps parse Also: conftest compares parsed DB URLs (newer SQLAlchemy renders "C:" as "C%3A"). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
23 lines
402 B
Text
23 lines
402 B
Text
fastapi>=0.115.0
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uvicorn>=0.30.0
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websockets>=12.0
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httpx>=0.27.0
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sqlalchemy>=2.0.0
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psycopg[binary]>=3.2.0
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openpyxl>=3.1.0
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PyYAML>=6.0.0
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pydantic>=2.8.0
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pydantic-settings>=2.3.0
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python-multipart>=0.0.9
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websocket-client>=1.8.0
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cryptography>=42.0.0
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netmiko>=4.3.0
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ntc-templates>=6.0.0
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textfsm>=1.1.0
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ntc-templates>=6.0.0
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textfsm>=1.1.0
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bcrypt>=4.1.0
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PyJWT>=2.8.0
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alembic>=1.13.0
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psutil>=5.9.0
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redis>=5.0.0
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