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回收 411 MB（470 M → 58.8 M），全部经回收站，可恢复： - 待清理/（146.2 M，含 relay 分片 128 M 与 42 项过程目录） - tmp/（32.4 M，按接续棒命名的过程临时区） - .workbuddy/tmp/（39.5 M） - 4 份 workbuddy.db 冗余副本（101 M，09-23 事故的坏副本 / 抢救产物） - tmp/im16/gw/centrifugo 二进制（63.9 M，可重下）+ 缓存残留 入库范围：常驻规则（CODEBUDDY.md / README.md / state.py）、在途接续入口与 接续包、docs/、交付物/、交接单/、归档/、scripts/、.codebuddy/、 .workbuddy/memory/；共 398 件，其中 >60 KB 的 26 件全为文档。 排除（.gitignore）：tmp/、待清理/、运行态日志与缓存、*.db 与 DB 备份整目录、 打包二进制（*.tar.gz / *.tgz）、记忆修复前备份。
94 lines
4.1 KiB
Python
94 lines
4.1 KiB
Python
import io, json, sqlite3, collections, re
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con = sqlite3.connect(r"E:/ProgramData/.workbuddy/workbuddy.db"); con.row_factory = sqlite3.Row
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autos = {}
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for r in con.execute("select id,name,status,schedule_type,rrule,scheduled_at,cwds,created_at from automations"):
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autos[r["id"]] = dict(r)
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def walk(o, acc):
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"""递归收集所有 usage 对象"""
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if isinstance(o, dict):
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u = o.get("usage")
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if isinstance(u, dict) and "inputTokens" in u:
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acc.append(u)
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for v in o.values(): walk(v, acc)
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elif isinstance(o, list):
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for v in o: walk(v, acc)
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rows = []
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for r in con.execute("select automation_id, thread_id, runs_json, result_success, created_at from automation_runs order by created_at"):
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aid = r["automation_id"]
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acc = []
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try: walk(json.loads(r["runs_json"] or "[]"), acc)
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except Exception: pass
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n_tool = len(re.findall(r'"toolName"', r["runs_json"] or ""))
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rows.append({"aid": aid, "t": r["created_at"], "usages": acc, "n_tool": n_tool,
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"name": (autos.get(aid) or {}).get("name", aid)})
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print("=" * 96)
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print("%-34s %-8s %-8s %-9s %-8s %s" % ("自动化", "运行次", "工具次", "积分总计", "缓存命中", "请求数"))
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print("=" * 96)
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agg = collections.defaultdict(lambda: {"runs":0,"tools":0,"cost":0.0,"hit":0,"miss":0,"req":0,"cat":collections.Counter()})
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for x in rows:
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a = agg[x["aid"]]; a["runs"] += 1; a["tools"] += x["n_tool"]
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for u in x["usages"]:
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a["req"] += 1
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c = (u.get("cost") or {}).get("amount") or 0
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a["cost"] += c
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d = u.get("details") or {}
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a["hit"] += d.get("promptCacheHitTokens", 0) or 0
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a["miss"] += d.get("promptCacheMissTokens", 0) or 0
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for k, v in (u.get("byCategory") or {}).items():
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if isinstance(v, (int, float)): a["cat"][k] += v
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tot = {"cost":0.0,"hit":0,"miss":0,"tools":0,"req":0}
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for aid, a in sorted(agg.items(), key=lambda kv: -kv[1]["cost"]):
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nm = (autos.get(aid) or {}).get("name", aid)[:32]
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hr = a["hit"] / max(a["hit"] + a["miss"], 1) * 100
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print("%-34s %-8d %-8d %-9.2f %-8s %d" % (nm, a["runs"], a["tools"], a["cost"], "%.1f%%" % hr, a["req"]))
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tot["cost"] += a["cost"]; tot["hit"] += a["hit"]; tot["miss"] += a["miss"]; tot["tools"] += a["tools"]; tot["req"] += a["req"]
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print("-" * 96)
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print("合计：运行 %d 次 | 工具调用 %d | 模型请求 %d | 积分 %.2f | 缓存命中率 %.1f%%"
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% (sum(a["runs"] for a in agg.values()), tot["tools"], tot["req"], tot["cost"],
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tot["hit"] / max(tot["hit"] + tot["miss"], 1) * 100))
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print()
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print("== 固定注入构成（所有自动化请求的平均，token）==")
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cats = collections.Counter()
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for a in agg.values(): cats.update(a["cat"])
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if cats:
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s = sum(v for k, v in cats.items() if k != "version")
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for k, v in cats.most_common():
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if k == "version": continue
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print(" %-14s %8.0f (%4.1f%%)" % (k, v / max(len(rows), 1), v / max(s, 1) * 100))
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print(" %-14s %8.0f" % ("合计/请求", s / max(len(rows), 1)))
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print()
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print("== 逐次请求明细（前 20 条：inputTokens / credit / 缓存命中率 / 工具数）==")
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n = 0
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for x in rows:
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for u in x["usages"]:
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d = u.get("details") or {}
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h, m = d.get("promptCacheHitTokens", 0) or 0, d.get("promptCacheMissTokens", 0) or 0
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c = (u.get("cost") or {}).get("amount") or 0
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print(" %-30s in=%-8s credit=%-7s hit=%4.1f%% tools=%d [%s]"
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% (x["name"][:30], u.get("inputTokens"), round(c, 3),
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h / max(h + m, 1) * 100, x["n_tool"],
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__import__("datetime").datetime.fromtimestamp(x["t"] / 1000).strftime("%m-%d %H:%M")))
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n += 1
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if n >= 20: break
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if n >= 20: break
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print()
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print("== 仍在跑的自动化（按计划类型）==")
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for aid, a in autos.items():
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if a["status"] != "ACTIVE": continue
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if a["rrule"]:
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per_day = {"HOURLY": 24}.get("HOURLY", 0)
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iv = re.search(r"INTERVAL=(\d+)", a["rrule"])
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k = 24 / int(iv.group(1)) if iv else "?"
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print(" [周期] %-34s %s ⇒ 约 %.0f 次/天" % (a["name"][:34], a["rrule"], k))
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else:
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print(" [一次] %-34s %s" % (a["name"][:34], a["scheduled_at"]))
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