chore(工作区): 纳入版本控制基线（回收 411 MB 过程产物）
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。
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# -*- coding: utf-8 -*-
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"""对指定会话做「积分消耗」归因：
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① 逐请求 input/output token 曲线（credit burn 的直接证据）
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② 上下文构成（谁占的）
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③ 最重的工具 / 重复读的文件
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④ 用户可见输出 vs 烧掉的输入
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用法: python diag-credit.py <sid前8位>
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"""
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import io
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import json
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import os
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import re
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import sys
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from collections import Counter
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PROJ = r"E:\ProgramData\.workbuddy\projects\e-ProgramData-AI技能-aliyun-dsh-server"
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SID8 = sys.argv[1] if len(sys.argv) > 1 else "7057685c"
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P = None
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for fn in os.listdir(PROJ):
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if fn.startswith(SID8) and fn.endswith(".jsonl"):
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P = os.path.join(PROJ, fn)
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assert P, "找不到转录 " + SID8
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CPT = 2.5
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def sz(x):
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if isinstance(x, str):
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return len(x)
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try:
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return len(json.dumps(x, ensure_ascii=False))
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except Exception:
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return len(str(x))
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def txt_of(c):
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if isinstance(c, list):
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return "".join(x.get("text", "") for x in c if isinstance(x, dict))
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return str(c or "")
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titles, usages, tot = [], [], Counter()
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results, calls, reads = [], [], Counter()
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per_tool_chars, per_tool_n = Counter(), Counter()
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asst_msgs, user_real = [], []
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pending_call = {}
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with io.open(P, encoding="utf-8", errors="replace") as f:
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for ln in f:
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if not ln.strip():
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continue
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try:
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o = json.loads(ln)
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except Exception:
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continue
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t = o.get("type")
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if t == "ai-title":
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titles.append(o.get("aiTitle", ""))
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elif t == "message":
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s = sz(txt_of(o.get("content")))
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if o.get("role") == "user":
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tot["user_msg"] += s
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txt = txt_of(o.get("content"))
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m = re.search(r"<user_query>(.*?)</user_query>", txt, re.S)
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if m:
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user_real.append((o.get("timestamp"), " ".join(m.group(1).split())[:100]))
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else:
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tot["asst_msg"] += s
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asst_msgs.append((o.get("timestamp"), sz(txt_of(o.get("content")))))
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elif t == "reasoning":
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tot["reasoning"] += sz(o.get("content"))
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elif t == "function_call":
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s = sz(o.get("arguments"))
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tot["fn_call_args"] += s
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nm = o.get("name") or "?"
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calls.append((nm, s))
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per_tool_chars[nm] += s
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per_tool_n[nm] += 1
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u = ((o.get("message") or {}).get("usage")) or {}
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if u:
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usages.append((o.get("timestamp"), u.get("input_tokens"), u.get("output_tokens"),
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u.get("cache_read_input_tokens")))
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if nm == "Read":
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try:
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a = json.loads(o.get("arguments") or "{}")
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fp = a.get("file_path") or a.get("path") or ""
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if fp:
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reads[os.path.basename(fp)] += 1
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except Exception:
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pass
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elif t == "function_call_result":
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s = sz(o.get("output"))
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tot["fn_result"] += s
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nm = o.get("name") or "?"
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per_tool_chars[nm] += s
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per_tool_n[nm] += 1
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results.append((nm, s, " ".join(str(o.get("output"))[:100].split())))
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else:
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tot["other:" + str(t)] += sz(o)
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print("=" * 78)
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print("会话 %s 标题: %s" % (SID8, titles))
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print("=" * 78)
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print()
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print("① 逐请求 token（input / output / 缓存读）—— 直接看积分去向")
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print("=" * 78)
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if usages:
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ti = sum(u[1] or 0 for u in usages)
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to = sum(u[2] or 0 for u in usages)
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tc = sum(u[3] or 0 for u in usages)
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print(" 请求数 = %d" % len(usages))
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print(" Σ input = %12d token" % ti)
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print(" Σ output = %12d token" % to)
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print(" Σ cache_read = %12d token（%.0f%% 的 input 命中缓存）" % (tc, 100.0 * tc / max(ti, 1)))
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print(" ★ input : output = %.1f : 1" % (ti / max(to, 1)))
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print()
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print(" 前 5 条 / 后 5 条：")
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for u in usages[:5] + [None] + usages[-5:]:
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if u is None:
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print(" …")
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else:
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print(" ts=%-14s in=%-8s out=%-6s cache=%s" % (str(u[0])[:14], u[1], u[2], u[3]))
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else:
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print(" （无 usage）")
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print()
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print("② 上下文构成（转录体量归因）")
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print("=" * 78)
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grand = sum(tot.values())
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for k, v in tot.most_common():
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print(" %-30s %10d 字符 ≈%9d tok %5.1f%%" % (k, v, int(v / CPT), 100.0 * v / grand))
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print()
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print(" AI 正文 : 用户真实输入 比 = %.1f : 1" % (tot["asst_msg"] / max(tot["user_msg"], 1)))
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print(" 工具往返占体量 = %.1f%%（fn_result + fn_call_args）"
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% (100.0 * (tot["fn_result"] + tot["fn_call_args"]) / max(grand, 1)))
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print()
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print("③ 最重的工具（累计字符 / 次数）")
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print("=" * 78)
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for nm, c in per_tool_chars.most_common(12):
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print(" %-18s %10d 字符 ≈%9d tok 调用 %d 次 (平均 %d 字符)"
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% (nm, c, int(c / CPT), per_tool_n[nm], c // max(per_tool_n[nm], 1)))
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print()
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print("④ 单条最大工具结果 Top 10")
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print("=" * 78)
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for i, (nm, c, pv) in enumerate(sorted(results, key=lambda x: -x[1])[:10], 1):
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print(" %2d) %-14s %8d 字符 ≈%6d tok | %s" % (i, nm, c, int(c / CPT), pv[:86]))
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print()
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print("⑤ 被重复 Read 的文件（读一次留一份，永不释放）")
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print("=" * 78)
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rep = [(k, v) for k, v in reads.most_common(12) if v >= 2]
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for k, v in rep:
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print(" %-52s %d 次" % (k[:52], v))
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if not rep:
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print(" （无重复读）")
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print()
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print("⑥ 用户真实输入（<user_query>）共 %d 条" % len(user_real))
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print("=" * 78)
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for ts, q in user_real[:30]:
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print(" [%s] %s" % (ts, q))
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