feat: implement OCR regression harness with golden dataset and CI integration#521
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bytebinders wants to merge 3 commits into
Open
feat: implement OCR regression harness with golden dataset and CI integration#521bytebinders wants to merge 3 commits into
bytebinders wants to merge 3 commits into
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…nd automated workflow support
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@bytebinders Great news! 🎉 Based on an automated assessment of this PR, the linked Wave issue(s) no longer count against your application limits. You can now already apply to more issues while waiting for a review of this PR. Keep up the great work! 🚀 |
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@Cedarich , could you drop a few more GitHub issues for me to work on? I’m ready for more 🔧🙂 |
Contributor
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Please fix work flow |
Contributor
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@Cedarich the issue is missing file sampl_001.png but I have fixed it. |
Contributor
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Fix workflow |
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✅ PR Description:
What was done:
app/ai-service/regression_harness/.regression_harness/dataset/.evaluator.pyto compare actual OCR output against expected fields, supporting text normalization, error classification, and confidence tracking.cli.pyto run suites locally, providing human-readable console summaries and machine-readable JSON reports for CI artifacts..github/workflows/ocr-regression.ymlto trigger automatically on OCR-related changes.README.mdfor tool usage, adding new samples, and maintenance.Why it was done:
To establish a reliable, low-maintenance testing infrastructure that ensures OCR extraction accuracy is preserved as the AI models, prompts, or preprocessing steps evolve.
How it was verified:
Summary of Work:
Required line:
Closes #464