feat(validation): validate ES uploads with bronze dataio converters and Pandera#273
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Load school-specific converters from bronze training_inputs/dataio.py under isolated module names, then validate via read_raw_es_* for parity with ES Databricks jobs. Soft-fallback when dataio is missing; fail closed on converter runtime errors. PDP and Legacy paths unchanged. Co-authored-by: Cursor <cursoragent@cursor.com>
vishpillai123
changed the title
Fetch training_inputs/config.toml alongside dataio and chain resolve_es_grade_map + apply_raw_course_grade_map before the school course converter, matching ES data-audit order. Missing config soft-falls back to platform grade_map defaults. Co-authored-by: Cursor <cursoragent@cursor.com>
nm3224
approved these changes
Jul 21, 2026
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Summary
edvise_id) uploads, fetch schooltraining_inputs/dataio.pyfrom the institution bronze volume and loadconverter_func_cohort/converter_func_courseunder isolated module names (no shareddataio/sys.pathmutation).read_raw_es_*+ ES Pandera schemas for parity with Databricks ES data-audit jobs; soft-fallback whendataiois missing; fail closed on converter runtime errors.Asana task
https://app.asana.com/1/6325821815997/project/1208486153653829/task/1216726403243098?focus=true
Test plan
pytest src/webapp/validation_es_test.py src/webapp/validation_test.py src/webapp/validation_pdp_read_path_test.py src/webapp/databricks_test.pydataio.pyconverter that renames/fixes columns passes Panderadataio.pystill validates viaread_raw_es_*without converterdataio.pycontents do not reuse each other’s convertersHardValidationError)Made with Cursor