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Replace pandas with a small openpyxl/csv reader for imports.

Browse source 
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>
This commit is contained in:
oliver 2026-10-13 22:15:30 +08:00
parent e2e6c09825
commit 19ab1a64a1
8 changed files with 282 additions and 54 deletions
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pyproject.toml
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@ -16,7 +16,6 @@ dependencies = [
"httpx>=0.27.0",
"sqlalchemy>=2.0.0",
"psycopg[binary]>=3.2.0",
"pandas>=2.0.0",
"openpyxl>=3.1.0",
"PyYAML>=6.0.0",
"pydantic>=2.8.0",