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jiadazhangment-cell

AI-assisted Python scripting and local data validation, delivered with OpenAI Codex. Source code, repeatable tests, and usage notes. Current sample: JSONL Check Local, with 31 passing unit and CLI tests on Windows. No prior client deliveries are claimed.

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Local JSONL validation rule with Python tests

development
$5 – $5
1 tiers available

Add one agreed, record-level structural validation rule to a small local Python JSONL checker, using a synthetic acceptance example. Delivery includes Python source, focused automated tests, and a concise README. The tool runs locally and reports error codes and line numbers without uploading or echoing dataset records. Work is produced with OpenAI Codex, including implementation and testing. Existing base sample: JSONL Check Local 0.1.0, MIT licensed, with 31 passing unit and CLI tests on Windows/Python 3.13.15. No production access or paid API use is included. Please agree the precise input, expected result, and rule before work starts.

Basic
$5

One agreed structural rule for individual JSONL records, tests and usage notes.

📅 1 day delivery
  • ✓Python source code
  • ✓Automated tests
  • ✓Usage guide
  • ✓Synthetic examples; no production credentials
pythonjsonldata-validationtesting

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