
Developed automated integration tests for the Producer Content Validation Service in the DEFRA/epr-pom-func-producer-validation repository, focusing on enhancing quality assurance tooling and test infrastructure. Leveraged C#, Docker, and YAML to create an integration test project that exercises the service’s HTTP endpoint with real CSV payloads, broadening coverage to include the ClosedLoopRecycling packaging type. Integrated these tests into the CI pipeline using Docker Compose, enabling rapid feedback during pull requests. To optimize performance, bulk CSV data processing was shifted from HTTP-based integration tests to unit tests, reducing processing time and establishing a scalable foundation for future validation scenarios.
Monthly summary for 2026-04: Delivered automated integration tests for the Producer Content Validation Service (DEFRA/epr-pom-func-producer-validation). Per commit e30dfa0cb046d903ad89a7000ba6ce36296c0c60, added an integration tests project that exercises the HTTP endpoint with real CSV payloads. CI now runs these tests via Docker Compose during PR builds for rapid feedback, and coverage was broadened to include ClosedLoopRecycling packaging type. To optimize performance, bulk CSV data processing was moved from HTTP testing into a unit test. No major production bugs fixed this month; focus was on QA tooling and test infrastructure. Business impact: faster feedback, higher confidence in validation rules, and a scalable foundation for additional validators.
Monthly summary for 2026-04: Delivered automated integration tests for the Producer Content Validation Service (DEFRA/epr-pom-func-producer-validation). Per commit e30dfa0cb046d903ad89a7000ba6ce36296c0c60, added an integration tests project that exercises the HTTP endpoint with real CSV payloads. CI now runs these tests via Docker Compose during PR builds for rapid feedback, and coverage was broadened to include ClosedLoopRecycling packaging type. To optimize performance, bulk CSV data processing was moved from HTTP testing into a unit test. No major production bugs fixed this month; focus was on QA tooling and test infrastructure. Business impact: faster feedback, higher confidence in validation rules, and a scalable foundation for additional validators.

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