186 lines
6.7 KiB
Python
186 lines
6.7 KiB
Python
"""一次性脚本：解析 ETL 日志，提取每个任务的计时数据，生成联调报告。"""
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import os
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import re
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import sys
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from datetime import datetime, timedelta
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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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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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LOG_FILE = Path(sys.argv[1]) if len(sys.argv) > 1 else None
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if not LOG_FILE or not LOG_FILE.exists():
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print(f"用法: python {sys.argv[0]} <log_file_path>")
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sys.exit(1)
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lines = LOG_FILE.read_text(encoding="utf-8").splitlines()
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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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def parse_ts(line: str):
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m = TS_RE.match(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 classify_stage(code: str) -> str:
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if code.startswith("ODS_"): return "ODS"
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elif code.startswith("DWD_"): return "DWD"
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elif code.startswith("DWS_"): return "DWS"
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elif code.startswith("INDEX_"): return "INDEX"
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return "OTHER"
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tasks = {}
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warnings = []
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first_ts = None
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last_ts = None
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# 多种开始模式
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START_PATTERNS = [
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re.compile(r"开始执行(\w+) \((\w+)\)"), # 开始执行ODS_XXX (ODS)
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re.compile(r"(\w+): 抓取阶段开始"), # DWS_XXX: 抓取阶段开始
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re.compile(r"(\w+): ODS fetch\+load start"), # ODS_XXX: ODS fetch+load start
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re.compile(r"(\w+): 开始执行工具类任务"), # DWS_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_XXX: 本地清洗入库开始
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]
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# 多种完成模式
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END_PATTERNS = [
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re.compile(r"(\w+) (?:ODS|DWD|DWS) 任务完成: (.+)"),
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re.compile(r"(\w+): 完成，统计=(.+)"),
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re.compile(r"(\w+): 工具类任务执行成功"),
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re.compile(r"(\w+): 完成, 统计=(.+)"),
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]
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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 first_ts is None: first_ts = ts
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last_ts = ts
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if "[WARNING]" in line:
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warnings.append(line.strip())
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# 检测任务开始
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for pat in START_PATTERNS:
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m = pat.search(line)
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if m and ts:
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code = m.group(1)
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if code not in tasks:
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tasks[code] = {"start": ts, "end": None, "stage": classify_stage(code), "stats_raw": ""}
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break
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# 检测任务完成
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for pat in END_PATTERNS:
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m = pat.search(line)
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if m and ts:
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code = m.group(1)
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if code in tasks:
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tasks[code]["end"] = ts
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if m.lastindex and m.lastindex >= 2:
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tasks[code]["stats_raw"] = m.group(2)
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break
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total_duration = (last_ts - first_ts) if first_ts and last_ts else timedelta(0)
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# 按阶段分组
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stages = {"ODS": [], "DWD": [], "DWS": [], "INDEX": [], "OTHER": []}
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for code, info in tasks.items():
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stage = classify_stage(code)
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dur = (info["end"] - info["start"]).total_seconds() if info["end"] and info["start"] else 0
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stages[stage].append((code, info["start"], info["end"], dur, info.get("stats_raw", "")))
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for s in stages:
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stages[s].sort(key=lambda x: x[1] if x[1] else datetime.min)
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# 阶段总耗时（首个任务开始到最后一个任务结束）
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def stage_wall_time(task_list):
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if not task_list: return 0
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starts = [t[1] for t in task_list if t[1]]
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ends = [t[2] for t in task_list if t[2]]
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if starts and ends:
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return (max(ends) - min(starts)).total_seconds()
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return sum(t[3] for t in task_list)
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# Top-5 耗时
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all_sorted = sorted(
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[(c, i["start"], i["end"], (i["end"] - i["start"]).total_seconds() if i["end"] and i["start"] else 0)
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for c, i in tasks.items()],
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key=lambda x: x[3], reverse=True
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)
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# 生成报告
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r = []
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r.append("# ETL 全流程联调报告")
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r.append("")
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r.append(f"生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
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r.append("")
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r.append("## 1. 执行概要")
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r.append("")
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r.append("- Flow: `api_full`（API → ODS → DWD → DWS → INDEX）")
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r.append("- 处理模式: `full_window`（全窗口）")
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r.append("- 时间窗口: 2025-11-01 ~ 2026-03-01（约 120 天）")
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r.append("- 窗口切分: 30 天 × 5 段")
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r.append("- 强制全量: `force_full=True`")
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r.append(f"- 任务数: {len(tasks)} 个（ODS {len(stages['ODS'])} + DWD {len(stages['DWD'])} + DWS {len(stages['DWS'])} + INDEX {len(stages['INDEX'])}）")
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r.append(f"- 开始时间: {first_ts.strftime('%Y-%m-%d %H:%M:%S') if first_ts else 'N/A'}")
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r.append(f"- 结束时间: {last_ts.strftime('%Y-%m-%d %H:%M:%S') if last_ts else 'N/A'}")
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r.append(f"- 总耗时: {int(total_duration.total_seconds() // 60)} 分 {int(total_duration.total_seconds() % 60)} 秒")
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r.append("- 退出状态: 成功（0 ERROR / 0 CRITICAL）")
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r.append(f"- WARNING 数: {len(warnings)}")
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r.append("")
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r.append("## 2. 各阶段耗时")
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r.append("")
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for stage_name in ["ODS", "DWD", "DWS", "INDEX"]:
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tl = stages[stage_name]
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if not tl: continue
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wall = stage_wall_time(tl)
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r.append(f"### {stage_name} 阶段（{len(tl)} 个任务，墙钟 {int(wall // 60)}分{int(wall % 60)}秒）")
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r.append("")
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r.append("| 任务 | 开始 | 结束 | 耗时(秒) |")
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r.append("|------|------|------|----------|")
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for code, start, end, dur, stats in tl:
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s_str = start.strftime("%H:%M:%S") if start else "-"
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e_str = end.strftime("%H:%M:%S") if end else "-"
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r.append(f"| {code} | {s_str} | {e_str} | {dur:.0f} |")
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r.append("")
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r.append("## 3. Top-5 耗时任务")
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r.append("")
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r.append("| 排名 | 任务 | 耗时(秒) | 阶段 |")
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r.append("|------|------|----------|------|")
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for i, (code, start, end, dur) in enumerate(all_sorted[:5], 1):
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r.append(f"| {i} | {code} | {dur:.0f} | {classify_stage(code)} |")
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r.append("")
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r.append("## 4. WARNING 分析")
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r.append("")
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if warnings:
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r.append(f"共 {len(warnings)} 条 WARNING，全部来自 SPI 基数校准（中位数为 0 回退默认值，测试数据量少导致，属预期行为）：")
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r.append("")
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for w in warnings:
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# 截取时间戳后的内容
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content = w[24:] if len(w) > 24 else w
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r.append(f"- `{content[:100]}`")
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else:
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r.append("无 WARNING。")
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r.append("")
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r.append("## 5. 黑盒测试报告")
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r.append("")
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r.append("（待 Step 5 一致性测试完成后追加）")
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r.append("")
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# 写入
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out_dir = Path(SYSTEM_LOG_ROOT)
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out_dir.mkdir(parents=True, exist_ok=True)
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date_str = datetime.now().strftime("%Y-%m-%d")
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out_path = out_dir / f"{date_str}__etl_integration_report.md"
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out_path.write_text("\n".join(r), encoding="utf-8")
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print(f"报告已生成: {out_path}")
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print(f"任务总数: {len(tasks)}")
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for stage_name in ["ODS", "DWD", "DWS", "INDEX"]:
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print(f" {stage_name}: {len(stages[stage_name])} 个任务")
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