Description

Custom validation scripts like validate_data_integrity.rb are manual and hard to update. Using a declarative schema will make it easier to maintain and enforce rules.

Acceptance Criteria

• #1 Implement dry-validation or JSON Schema for validating _data/*.yml files.
• #2 Define schemas for interviews.yml, video_assets.yml, and taxonomy.yml.
• #3 Ensure that existing data passes the new validation schemas.
• #4 Integrate validation into the build pipeline as a pre-build step.

Final Summary

Implemented a robust, declarative data validation system using the dry-validation gem.

• Created src/validators/site_schema.rb containing schema contracts for Interviews, VideoAssets, Conferences, and Communities.
• Developed bin/validate_data.rb to load YAML data, execute schema validation, and perform cross-collection referential integrity checks.
• Replaced the manual and hard-to-maintain bin/validate_data_integrity.rb with the new declarative system in the Rakefile.
• Updated _data/repo_hygiene.yml to reflect recent structural changes.
• Verified that all existing data passes the new validation schemas.
• Integrated the new validation step into the rake ci pipeline.
• This fulfills all acceptance criteria for TASK-006.

Definition of Done

• #1 AC criteria is completed and the change has been verified