Fix frontend data extraction from console logs#1
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Problem: - AI was returning facts as a single object instead of an array - Frontend expected arrays but received empty data - Transformation failed silently Solution: - Add robust validation to ensure facts is always an array - Convert single fact objects to arrays automatically - Filter out null/invalid facts - Improve AI prompt to explicitly require array format - Add detailed warning logs for debugging Fixes the issue where console shows all safe arrays with 0 items.
Problem:
- AI returning invalid type values like "sushi", "hiking" instead of valid types
- Nonsensical values like "/here" being processed
- Frontend still receiving raw AI response (backend not restarted)
Solution:
- Add validation to filter out nonsensical values ("/here", too short)
- Normalize invalid types to "note" automatically
- Improve AI prompt with explicit examples of correct/incorrect outputs
- Add detailed logging to transformation function for debugging
Changes:
- Enhanced fact filtering to remove invalid values
- Map invalid types to valid ones with warning logs
- Clearer AI prompt emphasizing the 4 valid types only
- Added transform function entry logging
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