{
  "id": "python-analysis",
  "version": "1.0.0",
  "title": "Python 分析产出可追溯产物",
  "summary": "在持久 Python 内核中执行分析代码，把结果注册为带校验和的 artifact。这是本系统最常见的一次科研运行。",
  "steps": [
    "open_session",
    "run_python_cell",
    "save_artifact"
  ],
  "permissions": [
    "kernel:python",
    "workspace:write"
  ],
  "artifacts": [
    "scores.csv"
  ],
  "failure_conditions": [
    "cell 抛出异常",
    "声明的产物未被写出",
    "artifact 校验和缺失"
  ],
  "cases": [
    {
      "id": "python-analysis/happy",
      "title": "计算并写出 CSV",
      "outcome": "success",
      "inputs": {
        "run_python_cell": {
          "code": "import csv\nwith open('scores.csv','w',newline='') as f:\n    w=csv.writer(f); w.writerow(['sample','score']); w.writerow(['a',0.93])\nprint('done')"
        },
        "save_artifact": {
          "filename": "scores.csv",
          "content_type": "text/csv",
          "as": "scores"
        }
      },
      "expect": {
        "stdout__contains": "done",
        "checksum__len": 64
      }
    },
    {
      "id": "python-analysis/cell-error",
      "title": "分析代码抛异常时必须失败而不是静默产出",
      "outcome": "failure",
      "inputs": {
        "run_python_cell": {
          "code": "raise ValueError('bad input frame')"
        }
      },
      "expect": {
        "error__contains": "bad input frame"
      }
    }
  ]
}