微信小程序页面迁移校验之前 P5任务处理之前
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scripts/ops/_extract_timing.py
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256
scripts/ops/_extract_timing.py
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"""从 API 获取 ETL 执行日志，提取精细计时数据。一次性运维脚本。"""
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import requests, json, re, sys, os
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from datetime import datetime
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from collections import defaultdict, OrderedDict
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from pathlib import Path
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from dotenv import load_dotenv
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load_dotenv(Path(__file__).resolve().parents[2] / ".env")
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# 环境变量必须存在
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SYSTEM_LOG_ROOT = os.environ.get("SYSTEM_LOG_ROOT")
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if not SYSTEM_LOG_ROOT:
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raise RuntimeError("SYSTEM_LOG_ROOT 环境变量未设置")
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EXEC_ID = "969c3195-5fea-4f72-873f-18cf75960c64"
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BASE_URL = "http://localhost:8000"
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def get_token():
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r = requests.post(f"{BASE_URL}/api/auth/login",
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json={"username": "admin", "password": "admin123"}, timeout=10)
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r.raise_for_status()
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return r.json().get("access_token") or r.json().get("token")
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def get_logs(token):
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headers = {"Authorization": f"Bearer {token}"}
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r = requests.get(f"{BASE_URL}/api/execution/{EXEC_ID}/logs",
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headers=headers, timeout=60)
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r.raise_for_status()
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data = r.json()
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return data.get("error_log", "") or data.get("output_log", "")
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TS_RE = re.compile(r'\[(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})\]')
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# 任务开始模式（覆盖 ODS / DWD / DWS / INDEX 各种写法）
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TASK_START_PATTERNS = [
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re.compile(r'开始执行(\w+)\s+\(ODS\)'), # ODS: 开始执行ODS_XXX (ODS)
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re.compile(r'(\w+): 抓取阶段开始'), # DWD/DWS: XXX: 抓取阶段开始
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re.compile(r'(\w+): 开始执行工具类任务'), # DWS 工具类: XXX: 开始执行工具类任务
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re.compile(r'(\w+): 本地清洗入库开始'), # DWD fallback
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]
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# 任务完成模式
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TASK_DONE_PATTERNS = [
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re.compile(r'(\w+) ODS 任务完成'), # ODS: XXX ODS 任务完成
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re.compile(r'(\w+): 完成，统计='), # DWD/DWS: XXX: 完成，统计=
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re.compile(r'(\w+): 工具类任务执行成功'), # DWS 工具类
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re.compile(r'(\w+): 结果统计:'), # DWS fallback
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]
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# 任务失败模式
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TASK_FAIL_RE = re.compile(r'任务\s+(\w+)\s+失败')
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# 窗口切片模式（全局 Flow 级别的切片，不是单任务内部切片）
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FLOW_SLICE_RE = re.compile(r'处理窗口切片\s*(\d+)/(\d+)')
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# 已知任务名前缀
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KNOWN_PREFIXES = {"ODS_", "DWD_", "DWS_"}
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def classify_task(name):
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if name.startswith("ODS_"):
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return "ODS"
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elif name.startswith("DWD_"):
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return "DWD"
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elif name in ("DWS_WINBACK_INDEX", "DWS_NEWCONV_INDEX",
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"DWS_RELATION_INDEX", "DWS_SPENDING_POWER_INDEX"):
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return "INDEX"
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elif name.startswith("DWS_"):
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return "DWS"
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return "OTHER"
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def parse_ts(line):
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m = TS_RE.search(line)
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return datetime.strptime(m.group(1), "%Y-%m-%d %H:%M:%S") if m else None
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def parse_timing(log_text):
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lines = log_text.split("\n")
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# 任务级计时（保持插入顺序）
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tasks = OrderedDict() # name -> {start, end, status, stage}
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global_start = None
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global_end = None
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# 已处理的任务名（避免重复匹配）
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seen_starts = set()
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for line in lines:
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ts = parse_ts(line)
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if ts:
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if global_start is None:
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global_start = ts
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global_end = ts
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# 任务开始
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for pat in TASK_START_PATTERNS:
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m = pat.search(line)
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if m and ts:
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tname = m.group(1)
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# 只处理已知 ETL 任务名
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if not any(tname.startswith(p) for p in KNOWN_PREFIXES):
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continue
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if tname not in seen_starts:
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seen_starts.add(tname)
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tasks[tname] = {
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"start": ts, "end": None,
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"status": "running", "stage": classify_task(tname),
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}
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break
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# 任务完成
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for pat in TASK_DONE_PATTERNS:
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m = pat.search(line)
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if m and ts:
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tname = m.group(1)
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if tname in tasks and tasks[tname]["status"] == "running":
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tasks[tname]["end"] = ts
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tasks[tname]["status"] = "success"
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break
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# 任务失败
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m = TASK_FAIL_RE.search(line)
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if m and ts:
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tname = m.group(1)
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if tname in tasks:
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tasks[tname]["end"] = ts
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tasks[tname]["status"] = "failed"
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# 计算耗时
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for info in tasks.values():
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if info["start"] and info["end"]:
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info["duration"] = (info["end"] - info["start"]).total_seconds()
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else:
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info["duration"] = None
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# 阶段汇总
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stages = {}
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for stage_name in ["ODS", "DWD", "DWS", "INDEX"]:
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stage_tasks = [(n, t) for n, t in tasks.items() if t["stage"] == stage_name]
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if not stage_tasks:
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continue
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starts = [t["start"] for _, t in stage_tasks if t["start"]]
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ends = [t["end"] for _, t in stage_tasks if t["end"]]
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stages[stage_name] = {
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"start": min(starts) if starts else None,
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"end": max(ends) if ends else None,
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"task_count": len(stage_tasks),
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"success": sum(1 for _, t in stage_tasks if t["status"] == "success"),
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"failed": sum(1 for _, t in stage_tasks if t["status"] == "failed"),
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}
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if stages[stage_name]["start"] and stages[stage_name]["end"]:
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stages[stage_name]["duration"] = (
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stages[stage_name]["end"] - stages[stage_name]["start"]
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).total_seconds()
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else:
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stages[stage_name]["duration"] = None
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return {
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"global_start": global_start,
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"global_end": global_end,
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"total_duration": (global_end - global_start).total_seconds() if global_start and global_end else 0,
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"tasks": tasks,
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"stages": stages,
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}
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def fmt_dur(seconds):
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if seconds is None:
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return "N/A"
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m, s = divmod(int(seconds), 60)
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h, m = divmod(m, 60)
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return f"{h}h{m:02d}m{s:02d}s" if h > 0 else f"{m}m{s:02d}s"
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def main():
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print("=== ETL 执行日志计时分析 ===\n")
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token = get_token()
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print("✓ JWT Token")
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log_text = get_logs(token)
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print(f"✓ 日志 {len(log_text)} 字符\n")
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timing = parse_timing(log_text)
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# 全局
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print(f"执行: {timing['global_start']} ~ {timing['global_end']}")
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print(f"总耗时: {fmt_dur(timing['total_duration'])}\n")
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# 阶段
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print("--- 阶段计时 ---")
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for stage in ["ODS", "DWD", "DWS", "INDEX"]:
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info = timing["stages"].get(stage)
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if info:
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print(f" {stage}: {fmt_dur(info['duration'])} "
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f"({info['success']}/{info['task_count']} 成功"
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f"{', ' + str(info['failed']) + ' 失败' if info['failed'] else ''})")
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print()
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# Top-5
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ranked = sorted(
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[(n, t) for n, t in timing["tasks"].items() if t["duration"] is not None],
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key=lambda x: x[1]["duration"], reverse=True,
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)
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print("--- Top-5 耗时任务 ---")
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for i, (name, info) in enumerate(ranked[:5]):
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print(f" {i+1}. {name}: {fmt_dur(info['duration'])} [{info['status']}]")
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print()
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# 全部任务
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print(f"--- 全部任务 ({len(timing['tasks'])} 个) ---")
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for name, info in timing["tasks"].items():
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status_icon = "✓" if info["status"] == "success" else "✗" if info["status"] == "failed" else "?"
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print(f" {status_icon} {name}: {fmt_dur(info['duration'])} [{info['stage']}]")
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# 输出 JSON
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output = {
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"execution_id": EXEC_ID,
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"global_start": str(timing["global_start"]),
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"global_end": str(timing["global_end"]),
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"total_duration_sec": timing["total_duration"],
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"total_duration_fmt": fmt_dur(timing["total_duration"]),
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"stages": {},
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"top5": [],
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"all_tasks": {},
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}
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for stage, info in timing["stages"].items():
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output["stages"][stage] = {
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"duration_sec": info["duration"],
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"duration_fmt": fmt_dur(info["duration"]),
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"task_count": info["task_count"],
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"success": info["success"],
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"failed": info["failed"],
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}
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for name, info in ranked[:5]:
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output["top5"].append({
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"task": name, "stage": info["stage"],
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"duration_sec": info["duration"],
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"duration_fmt": fmt_dur(info["duration"]),
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"status": info["status"],
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})
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for name, info in timing["tasks"].items():
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output["all_tasks"][name] = {
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"stage": info["stage"],
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"duration_sec": info["duration"],
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"duration_fmt": fmt_dur(info["duration"]),
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"status": info["status"],
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}
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out_path = Path(SYSTEM_LOG_ROOT) / "etl_timing_data.json"
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out_path.parent.mkdir(parents=True, exist_ok=True)
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out_path.write_text(json.dumps(output, ensure_ascii=False, indent=2), encoding="utf-8")
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print(f"\n✓ 计时数据 → {out_path}")
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if __name__ == "__main__":
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main()
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