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Head commit for run: e08b7f336af68ce1bcaca012589beb41c7aed132 / Prateek Ganigi <[email protected]> test(workflow-operator): add unit tests for MediaGenCodegen (#6438) ### What changes were proposed in this PR? Adds dedicated unit test coverage for MediaGenCodegen, the TaskCodegen object that generates the Python payload/parse snippets for Hugging Face media-generation operators (text-to-image and text-to-video). This class previously had no direct test coverage. A new spec file, [MediaGenCodegenSpec.scala was created in the same test package, mirroring the structure and patterns of TextGenCodegenSpec (shared makeCtx helper; assertions on snippet structure/markers rather than exact whitespace). It adds 9 tests covering: - task equals "text-to-image" - tasks equals exactly Set("text-to-image", "text-to-video") - payloadPython emits the static {"inputs": prompt_value} payload - parsePython branches on both media tasks, routes URL responses through the shared _url_to_data_url helper, converts OpenAI b64_json payloads into a data:image/png;base64, URL, and falls back to json.dumps(body) - Snippets never inline raw CodegenContext string values (no sentinel leakage) - Context-independence: identical output across two unrelated CodegenContext instances ### Any related issues, documentation, discussions? Closes #6252 ### How was this PR tested? Added 9 unit tests in the new spec file, all passing via sbt: sbt "WorkflowOperator/testOnly org.apache.texera.amber.operator.huggingFace.codegen.MediaGenCodegenSpec" [info] Tests: succeeded 9, failed 0, canceled 0, ignored 0, pending 0 [info] All tests passed. ### Was this PR authored or co-authored using generative AI tooling? Co-authored with Claude Opus 4.8 in compliance with ASF Report URL: https://github.com/apache/texera/actions/runs/29540453240 With regards, GitHub Actions via GitBox
