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fix: align RewardEngine with actual stage tasks, fix step budget to 60, enable stage-specific reset
aa04f19 | name: DataEngEnv | |
| version: "2.0.0" | |
| description: "PipelineOps Arena — 4-stage cascading ML pipeline debugger with fairness gate" | |
| tags: [openenv, data-engineering, machine-learning, debugging, reinforcement-learning, fairness] | |
| tasks: | |
| - {id: 1, name: data_repair, difficulty: easy, description: "Fix column rename bug + NaN handling"} | |
| - {id: 2, name: training_monitor, difficulty: medium, description: "Add StandardScaler for MLP convergence"} | |
| - {id: 3, name: eval_validation, difficulty: hard, description: "Fix data leakage — scaler after split"} | |
| - {id: 4, name: deploy_gate, difficulty: hard, description: "Fix model fairness with class_weight balanced"} | |
| endpoints: | |
| reset: POST /reset | |
| step: POST /step | |
| state: GET /state | |
| tasks: GET /tasks | |
| grader: POST /grader | |
| pipeline_status: GET /pipeline_status | |
| observation_space: | |
| current_stage: int | |
| step_number: int | |
| script_content: str | |
| last_run_output: str | |
| last_run_error: "str | null" | |
| data_preview: str | |
| schema_info: dict | |
| done: bool | |
| action_space: | |
| - {type: inspect_data, payload: {}} | |
| - {type: check_schema, payload: {}} | |
| - {type: run_script, payload: {}} | |
| - {type: edit_script, payload: {old: str, new: str}} | |
| - {type: query_actor, payload: {}} | |
| - {type: submit, payload: {}} | |
| reward_range: [0.0, 1.0] | |
| max_steps: 60 | |
| cascade: true | |
| loop_on_failure: true | |