aglinxinyuan opened a new issue, #6249:
URL: https://github.com/apache/texera/issues/6249

   ### Task Summary
   
   Add a dedicated `QaRankingCodegenSpec.scala` that pins the payload/parse 
Python-snippet contract of `QaRankingCodegen` — the Hugging Face codegen for 
the question-answering / ranking task family. Mirror the existing 
`TextGenCodegenSpec` (same package) as the template.
   
   ## Background
   
   `QaRankingCodegen` 
(`common/workflow-operator/src/main/scala/org/apache/texera/amber/operator/huggingFace/codegen/QaRankingCodegen.scala`)
 is an `object extends TaskCodegen`. It produces two Python source snippets — 
`payloadPython(ctx)` and `parsePython(ctx)` — that are spliced into the 
generated inference operator. It handles five HF pipeline tasks and, like every 
codegen, must reference `self.*` attributes rather than inlining raw user 
strings from the `CodegenContext`.
   
   ```scala
   override val task: String = "question-answering"
   override val tasks: Set[String] = Set(
     "question-answering", "table-question-answering",
     "zero-shot-classification", "sentence-similarity", "text-ranking"
   )
   ```
   
   ## Behavior to pin
   
   | Member | Contract |
   | --- | --- |
   | `task` | equals `"question-answering"` |
   | `tasks` | equals exactly the 5-element set above |
   | `payloadPython` | opens with `if task == "question-answering":`; has an 
`elif` branch for table-QA, zero-shot, sentence-similarity and text-ranking; 
ends with the `else: payload = {"inputs": prompt_value}` fallback |
   | `parsePython` | the QA / table-QA branches read `body.get("answer", ...)`; 
zero-shot / sentence-similarity / text-ranking return `json.dumps(body)` |
   | no raw-value leakage | with sentinel `CodegenContext` string fields (e.g. 
`contextColumn` / `candidateLabels` / `sentencesColumn` set to distinctive 
`"MARKER_…"` values), neither snippet contains the sentinel — the code 
references `self.CONTEXT_COLUMN` / `self.CANDIDATE_LABELS` / 
`self.SENTENCES_COLUMN` instead |
   
   Build the `CodegenContext` with a small `makeCtx` helper exactly like 
`TextGenCodegenSpec` (set `task = "question-answering"` plus the QA-specific 
columns). Assert on snippet structure / marker substrings, not on exact 
whitespace.
   
   ## Scope
   
   - New spec: `QaRankingCodegenSpec.scala` under 
`common/workflow-operator/src/test/scala/org/apache/texera/amber/operator/huggingFace/codegen/`.
   - No production-code changes.
   
   ### Task Type
   
   - [ ] Refactor / Cleanup
   - [ ] DevOps / Deployment / CI
   - [x] Testing / QA
   - [ ] Documentation
   - [ ] Performance
   - [ ] Other
   


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