feat(myopencre): improve CSV import error handling in UI #683
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This was referenced Dec 29, 2025
northdpole
reviewed
Jan 3, 2026
| False if not request.args.get("calculate_gap_analysis") else True | ||
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Same comment about validation and error handling here, validation should happen in the "handle incoming CSV" function, Otherwise excellent work!
- Validate file type, encoding, and required headers - Accept CSVs generated from CRE catalogue export - Skip empty and padding rows present in exported templates - Validate CRE format only when CRE references exist - Guard against misaligned rows with extra columns - Return structured validation errors before import This keeps the importer aligned with the exporter while preventing malformed inputs from causing server errors.
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Scope note (important)
The intended change in this PR is limited to:
application/frontend/src/pages/MyOpenCRE/MyOpenCRE.tsxAny other file diffs shown by GitHub are inherited from branch history / stacking and are not part of the frontend error-handling change itself.
Please let me know if you’d prefer this rebased or split further.
Summary
This PR improves the MyOpenCRE frontend experience by surfacing clear, structured feedback for CSV import results, directly reflecting backend validation responses.
The goal is to make CSV imports easier to understand and debug for users, without changing any backend logic.
What this PR does
Frontend error handling
(row number + validation reason)
Success feedback
UX improvements
Screenshots
1. Empty CSV upload
2. Invalid CRE entry (
bad_cre.csv)3. Misaligned CSV columns (
misaligned_columns.csv)4. Successful import (
valid.csv)What is intentionally out of scope
Why this approach
The backend now returns clear, structured validation responses.
This PR ensures those responses are presented cleanly in the UI, making CSV imports:
Feedback welcome
If there are UX improvements, edge cases, or error formats that should be handled differently, I’d really appreciate guidance and am happy to iterate.