Open
Conversation
Collaborator
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.


Ticket DB014 - Dataset Validation Script
Description
This PR implements the DB014 Dataset Validation Script, which performs comprehensive validation of the product dataset. The script checks for:
Basic schema compliance (required fields, types)
Nutrient structure validation
Allergen structure validation
Barcode validation (format, empty values, duplicates)
Advanced schema checks (enum validation, missing subfields)
The script generates a JSON validation report (schema_validation_report.json) and logs all validation results. The latest run confirms that:
Basic schema issues: 4757 detected (missing fields like productName and nutriscoreGrade)
Nutrients and allergens structure: all valid
Barcode issues: 118 invalid formats detected
Advanced schema invalid records: 38
The validation report is saved and ready for review
This ensures that all dataset integrity checks are implemented and working as intended.
Run: python -m database.Validation.db021_validator
Checks
Screenshots