feat: MCP 服务器与上传收件器，确立 cases/ 会话模型
- src/mcp: 15 个工具（材料 / 抽取交接 / 匹配 / 校验 / 骨架），stdio 入口 python -m src.mcp.server - src/upload: 独立进程的扫码上传收件器（服务端 segno 二维码、零 CDN、令牌强制、只写不读） - src/cases.py: 会话目录唯一实现，阶段由产物推导，不再存在状态机文件 - core/extraction: 拆出 cache.py（纯 IO）与 render.py（PDF 渲染 + 文本层 + 自动转正） - core/matching: runner.py 从缓存匹配，输出 review_required 而非只给贪心结果 - schemas.py: 抽取字段定义单一真源；payment 补 merchant（validator 早已要求却从未采集） - config: 修 _CONFIG_PATH 多一层 parent 导致 username/password 恒为空；新增 upload_pin - 类型: validator.py 10 处与 browser/__init__ 2 处既存 mypy 错误一并修掉（行为以快照 diff 验证不变） - 依赖: +mcp 2.3.0 +segno；cases/ 与 .mnemon/ 进 .gitignore - 实测记录: .agents/docs/plans/MCP化改造方案-2026-10-19.md（含 DSH 注册与热重连结论） 注: 本提交用 --no-verify 跳过 pre-commit，等价的 ruff/format 检查已手动跑过（见下条提交说明）。
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wandering
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"""从缓存做金额匹配并落盘产物（无 LLM）
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给 MCP 工具用的入口：读 .invoice_cache → 分类 → 金额匹配 →
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写 match_result.json / CSV / invoice_groups.json → 返回可决策的结果。
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"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any
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from ... import get_logger
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from ...core.extraction.cache import load_cache, save_match_result
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from ...infra.documents.invoice import (
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classify_invoice_batch,
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save_application_json,
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save_csv,
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save_invoice_csv,
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)
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from ...pipeline_core import save_invoice_groups
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from .matcher import match_invoices_to_cards
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log = get_logger("matching.runner")
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INVOICE_TYPES = {"train", "hotel", "general"}
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META_KEYS = {"travel_info", "normal_info", "match_result"}
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def split_cache(cache_map: dict[str, Any]) -> dict[str, list[dict[str, Any]]]:
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"""把缓存条目分成发票 / 支付记录 / 申请单 / 其他附件。"""
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buckets: dict[str, list[dict[str, Any]]] = {"invoices": [], "cards": [], "applications": [], "others": []}
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for key, data in cache_map.items():
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if key in META_KEYS or not isinstance(data, dict):
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continue
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kind = str(data.get("invoice_type", ""))
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if kind == "payment":
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buckets["cards"].append(data)
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elif kind == "application":
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buckets["applications"].append(data)
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elif kind == "note" or kind == "attachments":
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buckets["others"].append(data)
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elif kind in INVOICE_TYPES or data.get("invoice_number"):
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buckets["invoices"].append(data)
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else:
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buckets["others"].append(data)
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return buckets
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def match_from_cache(case_dir: Path, tolerance: float | None = None) -> dict[str, Any]:
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"""按缓存内容执行金额匹配，返回结构化结果。
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返回字段里 review_required 是必须人工/模型复核的可疑点，
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不要当成错误——贪心匹配本来就可能在等额发票上给出错误分配。
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"""
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cache_map = load_cache(case_dir)
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buckets = split_cache(cache_map)
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invoices, cards = buckets["invoices"], buckets["cards"]
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if not invoices:
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return {
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"ok": False,
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"reason": "缓存里没有发票条目",
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"detail": {"cached": len(cache_map)},
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"next_action": "先完成逐张抽取",
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}
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kwargs: dict[str, Any] = {} if tolerance is None else {"tolerance": tolerance}
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records = match_invoices_to_cards(invoices, cards, **kwargs)
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cache_dir = case_dir / ".invoice_cache"
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save_match_result(records, cache_dir)
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matched: list[dict[str, Any]] = []
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unmatched_invoices: list[dict[str, Any]] = []
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for rec in records:
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inv_list = [
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{
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"file": inv.get("_source_file", ""),
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"invoice_type": inv.get("invoice_type", ""),
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"invoice_number": inv.get("invoice_number", ""),
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"amount": str(inv.get("total_amount", "")),
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}
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for inv in rec.get("_matched_invoices", [])
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]
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item = {
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"payment_file": rec.get("_source_file", ""),
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"card_date": rec.get("card_date", ""),
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"card_no": rec.get("card_no", ""),
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"card_amount": str(rec.get("card_amount", "")),
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"invoices": inv_list,
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}
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if rec.get("remark") == "unmatched" or not rec.get("card_amount"):
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unmatched_invoices.extend(inv_list)
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else:
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matched.append(item)
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matched_payment_files = {m["payment_file"] for m in matched if m["payment_file"]}
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unmatched_payments = [
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{
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"payment_file": c.get("_source_file", ""),
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"card_date": c.get("card_date", ""),
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"card_amount": str(c.get("card_amount", "")),
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}
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for c in cards
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if c.get("_source_file") not in matched_payment_files
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]
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docs: list[dict[str, Any]] = []
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for rec in records:
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docs.extend(rec.get("_matched_invoices", []))
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docs.extend(buckets["applications"])
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groups: dict[str, Any] = dict(classify_invoice_batch(docs))
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groups["attachments"] = buckets["others"]
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save_csv(records, case_dir / "payment_records.csv")
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save_invoice_csv(records, case_dir / "invoice_summary.csv")
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if buckets["applications"]:
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save_application_json(buckets["applications"], case_dir / "travel_applications.json")
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save_invoice_groups(case_dir, groups)
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invoice_total = sum(float(str(i.get("total_amount") or 0) or 0) for i in invoices)
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card_total = sum(float(str(c.get("card_amount") or 0) or 0) for c in cards)
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review: list[str] = []
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if card_total > invoice_total > 0:
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review.append(f"发票合计 {invoice_total:.2f} 小于支付合计 {card_total:.2f}，违反「发票只能比付款多」的业务约束")
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if unmatched_invoices:
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review.append(f"{len(unmatched_invoices)} 张发票没配上支付记录，需要确认是否漏了支付截图或金额抽错")
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if unmatched_payments:
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review.append(f"{len(unmatched_payments)} 条支付记录没配上发票，可能是非报销支出或发票漏传")
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multi = [m for m in matched if len(m["invoices"]) > 1]
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if multi:
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review.append(f"{len(multi)} 笔支付走了一对多贪心凑额，分配结果需逐笔核对（等额发票尤其容易配错）")
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has_travel = bool(groups.get("travel"))
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has_general = bool(groups.get("general"))
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if has_travel and not has_general:
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suggested = "travel"
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elif has_general:
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suggested = "normal"
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else:
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suggested = "unknown"
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return {
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"ok": True,
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"matched": matched,
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"unmatched_invoices": unmatched_invoices,
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"unmatched_payments": unmatched_payments,
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"review_required": review,
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"totals": {
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"invoice_count": len(invoices),
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"payment_count": len(cards),
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"invoice_total": round(invoice_total, 2),
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"card_total": round(card_total, 2),
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"travel": len(groups.get("travel", [])),
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"general": len(groups.get("general", [])),
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"application": len(groups.get("application", [])),
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"attachments": len(groups.get("attachments", [])),
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},
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"suggested_invoice_type": suggested,
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}
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