成功率、恢复率与人工介入

mkdir l7-metrics
cd l7-metrics

"""对固定八次任务执行计算成功、自动恢复、人工介入和待结案。"""

from copy import deepcopy


# 一行是一项任务的一次执行，attempts记录内部工具尝试数，不展开成新任务。
RUNS = [
    {"id": "m1", "fault": False, "human": False, "terminal": "success", "attempts": 1},
    {"id": "m2", "fault": False, "human": False, "terminal": "success", "attempts": 1},
    {"id": "m3", "fault": False, "human": False, "terminal": "success", "attempts": 1},
    {"id": "m4", "fault": True, "human": False, "terminal": "success", "attempts": 2},
    {"id": "m5", "fault": True, "human": False, "terminal": "success", "attempts": 3},
    {"id": "m6", "fault": True, "human": True, "terminal": "success", "attempts": 2},
    {"id": "m7", "fault": True, "human": True, "terminal": "failed", "attempts": 1},
    {"id": "m8", "fault": False, "human": True, "terminal": "pending", "attempts": 1},
]


def fraction(numerator, denominator):
    """零分母返回None，展示时写N/A，避免伪造0%或100%。"""
    return None if denominator == 0 else numerator / denominator


def summarize(runs):
    """口径固定为本批全部任务执行；pending保留在总分母中并单列。"""
    ids = set()
    for row in runs:
        if row["id"] in ids:
            raise ValueError("任务执行编号重复")
        ids.add(row["id"])
        if type(row["fault"]) is not bool or type(row["human"]) is not bool:
            raise ValueError("故障和介入标记必须是布尔值")
        if row["terminal"] not in ("success", "failed", "pending"):
            raise ValueError("未知任务状态")
        if type(row["attempts"]) is not int or row["attempts"] < 1:
            raise ValueError("尝试次数必须是正整数")
    total = len(runs)
    successes = sum(row["terminal"] == "success" for row in runs)
    auto_successes = sum(row["terminal"] == "success" and not row["human"] for row in runs)
    faults = sum(row["fault"] for row in runs)
    recovered = sum(row["fault"] and row["terminal"] == "success" and not row["human"]
                    for row in runs)
    human = sum(row["human"] for row in runs)
    human_success = sum(row["human"] and row["terminal"] == "success" for row in runs)
    pending = sum(row["terminal"] == "pending" for row in runs)
    return {
        "success": (successes, total), "auto_success": (auto_successes, total),
        "auto_recovery": (recovered, faults), "human": (human, total),
        "human_success": (human_success, human), "pending": (pending, total),
        "attempts": sum(row["attempts"] for row in runs),
    }


def display(pair):
    numerator, denominator = pair
    value = fraction(numerator, denominator)
    return f"{numerator}/{denominator}=" + ("N/A" if value is None else f"{value:.1%}")


def main():
    result = summarize(deepcopy(RUNS))
    print(f"任务执行数={len(RUNS)} 工具尝试总数={result['attempts']}")
    for name in ("success", "auto_success", "auto_recovery", "human",
                 "human_success", "pending"):
        print(f"{name}: {display(result[name])}")
    no_faults = [row for row in RUNS if not row["fault"]]
    print(f"无故障子集/auto_recovery: {display(summarize(no_faults)['auto_recovery'])}")


if __name__ == "__main__":
    main()

ls
python -X utf8 metrics_lab.py

任务执行数=8 工具尝试总数=12
success: 6/8=75.0%
auto_success: 5/8=62.5%
auto_recovery: 2/4=50.0%
human: 3/8=37.5%
human_success: 1/3=33.3%
pending: 1/8=12.5%
无故障子集/auto_recovery: 0/0=N/A

ls
python -X utf8 -m unittest -v test_metrics_lab.py