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ThearchyHelios
743 lines
49 KiB
Python
743 lines
49 KiB
Python
"""反方审稿节点：报告写完后，挑几句关键结论，各派一个只读 agent 站在反方主动找反例。
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结论句裁判（engine/judge.py）只看写作者挂的证据，判「说法有没有被证据支持」；可证据本身就可能挑过——只查了含
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退款的销售额，只看了一个月。反方审稿换个方向：不看证据够不够，自己写查询去证伪。
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1. 选句：报告文档里的结论句按裁判的预筛排好（judge.candidates / claim_priority：挂了依据的、带比较或因果的在前），
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取前「最多审几句」句；裁判判成「不是结论」的不审。同一份文档永远选出同样的句子、同样的顺序
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2. 反查：每句一个只读 agent（verify_agent.run_verify_agent）。工具只给这句引用的查询所在的数据源（指标按它的输入
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取自的查询算，合并查询按它合并的那几个源算）；这句没挂依据，就在这份报告引用的数据源里查。任务里给这句结论
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和它挂的证据摘录（judge.prepare，数据源遮罩的列照旧不给；摘录里原报告的编号都标成「原报告 Qn」，和 agent 自己
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的 Q1 分开），要它先想清楚「如果这句不成立，数据里会看到什么」，写只读查询去找，最后交结论（经受住 / 被削弱 /
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被推翻 / 无法判断）和理由。理由里的数字只能引用它自己查询的格子，裸数字由 compose_doc 标出来
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3. 出处：一条查询都没执行成功的，判什么都记为无法判断；判「被推翻」的，理由里还得引用到自己的查询结果——它要让
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正式出具降档，审稿记录里得查得到凭什么。不采信时系统写明原因，反方原本的结论和理由照录在后面（纯文字：解析
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不了的引用写成「（引用无效）」，裸数字注明「（无出处）」）。这句该查的数据源都不存在或已停用、核查模型本身用
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不了时不派 agent（模型用不了的，后面的句子照同一个原因记，不再逐句去建模型）；只停用了一部分的照常派，理由
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末尾由系统注明哪几个没查（写进理由文档，见 with_note）
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4. 记录：每句的结论、理由（渲染后的正文和组装好的文档）、查询快照、用量写进审稿记录（challenge_artifact），随运行
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封存。查询照常发 tool.end（role: verify，带查询快照，可下钻）；台账只记 kind challenge，绝不记 query——核查的
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查询进了写作目录，下游的写作者会把它们当成可以引用的证据。有句子没能反查的另记一条 challenge_unreviewed、
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只查了部分数据源的另记一条 challenge_sources_lost，不然时间线上只有一句「审了 N 句」，看不出根本没审成、
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没审全（这两个代码还不在期 3 约定的日志代码表里，界面认不得时照原话显示）
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5. 处置：被推翻的按 on_refuted 处置。degrade（默认）在产出里写 issuance_gaps，成果节点的出具契约照单收进缺口、
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出具降档（nodes/io.py 的 _upstream_issuance_gaps，所以反方审稿要接在成果节点上游，画布校验会提醒）；fail 判节点
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失败；flag 只记录。产出和审批卡里的 on_refuted 是实际生效的那一种（只有 degrade / flag，见 _finish）；degrades
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说被推翻的到底会不会让出具降档（按降档处置、又接在带出具契约的成果节点上游），unreviewed 是没能反查的句数（核查
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模型不可用、触顶、数据源不在了……这几句记为无法判断，但根本没查成）。审批卡（human.py 的 _reviewed_reports）附上
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审稿概况，据这两项说「出具会降档」「N 句没能反查」
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上限：句数、每句查询次数、每句时长、全局每日金额（核查和裁判各记各的账，engine/spend.py）。都按发起时快照的核查
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设置（run.options["verify"]），节点上写了的盖过它：审批停下期间改了设置，恢复、接着跑仍按发起时的那份。没有快照
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的运行按设置的当前值。「启用」节点上写了就按节点（写开启时全局关闭也照审），没写跟随设置；不启用时直通，报告没有
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可审的结论句、报告文档读不到时也直通（都记一条 challenge_skipped）。
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逐句串行反查：并行的话几句的工具调用在时间线上交错，看不出哪条查询在审哪一句；每日余额按先后扣，结果也才确定。
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整个反查连同存审稿记录、发日志都在一个 @task 里：接着跑时取 checkpoint 里的结果，不重复查库、不重复记账，时间线
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上也不再发一遍。结果带着输入指纹，接着跑时改了审稿本身的配置就重审；同一次执行里的重试沿用已经审完的（见 _reviewed）。
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"""
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from __future__ import annotations
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import re
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from collections.abc import Callable, Collection, Iterable
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from typing import Any
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from langgraph.func import task
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from sqlalchemy import select
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from app.core import artifact_store
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from app.core.artifact_store import canonical_json, content_hash
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from app.core.errors import describe_exception
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from app.core.events import EventType
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from app.db.base import SessionLocal
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from app.db.models import DataSource
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from app.engine import judge as judging
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from app.engine.context import NodeContext, NodeError
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from app.engine.evidence import ENTITY_KINDS, iter_units, ledger_enabled, next_exec
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from app.engine.judge import _usd
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from app.engine.merge_query import MERGE_SOURCE
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from app.engine.replay import _in_graph
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from app.engine.labels import CHALLENGE_LABEL, CHALLENGE_ON_REFUTED_LABEL
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from app.engine.schema import GraphSpec, NodeType, _ancestors, challenge_problems, challenge_report
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from app.engine.state import GraphState
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from app.engine.verify_agent import RATIONALE, VerifyOutcome, run_verify_agent
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from app.tools.datasource import run_versions
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#: 四种结论：经受住 / 被削弱 / 被推翻 / 无法判断。counts 的键照这个顺序
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VERDICTS = ("stands", "weakened", "refuted", "inconclusive")
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#: 节点产出、审批卡里最多列几句（审稿记录里一句不少）
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ITEMS_MAX = 10
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#: 出具缺口、报错里最多点几句的原文，每句最多几个字
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_NAMED = 3
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_QUOTE_CHARS = 40
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#: 审稿记录里每次查询记的几项
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_QUERY_KEYS = ("alias", "artifact", "sql", "row_count", "truncated", "source")
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#: 每句反查都会遇到的上限：触顶时发 challenge_limit。步数上限（verify_agent 的 max_steps）由核查自己的
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#: verify_limit 说明，不在这里另记
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_CLAIM_LIMITS = ("max_queries", "timeout_s", "daily_max_usd")
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#: 列「审批卡上的几句」时谁先留：被推翻、被削弱、没能判断的比经受住的更要让审批人看到
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_RANK = {"refuted": 0, "weakened": 1, "inconclusive": 2, "stands": 3}
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#: 系统改判时照录反方原本的结论用的叫法（界面的叫法见 lib/terms.ts 的 CHALLENGE_TEXT.verdict）
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_VERDICT_LABEL = {"stands": "经受住", "weakened": "被削弱", "refuted": "被推翻", "inconclusive": "无法判断"}
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#: 照录反方的理由时：解析不了的引用换成的字、裸数字后面加的注（见 _said）
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_INVALID_REF = "（引用无效）"
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_UNSOURCED = "（无出处）"
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#: 解析不了的引用在渲染后的正文里的占位（evidence.placeholder），连同两边隔开它的一个空格
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_PLACEHOLDER = re.compile(r" ?⟦\?[^⟧]*⟧ ?")
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#: 接着跑时 checkpoint 里缓存的审稿最多翻几条去找这一份配置的（每条都是按先前某一份配置审的，对不上就往后翻）
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_STALE_LIMIT = 16
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#: 同一次执行里审完的结果放在 RunContext.extra 的这个键下：{(节点, 第几次执行, 输入指纹): 审稿结果}。重试沿用它
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_REVIEWS_KEY = "challenge_reviews"
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CHALLENGE_SYSTEM = (
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"你是反方审稿人：报告已经写完，你站在反方，专门找其中一句结论的反例。你不写报告，也不改报告。\n"
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"- 先想清楚：如果这句结论不成立，数据里会看到什么；再写只读查询去找这样的反例\n"
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"- 换一个角度核对：按别的维度拆开、换时间范围、核对口径和过滤条件（退款、作废、重复记录）、找被忽略的数据，"
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"不要只是重复写作者的查询\n"
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"- verdict 四选一：stands 认真找过、没有找到反例；weakened 大体成立，但有重要的例外或前提，或者把范围、程度、"
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"原因说过了头；refuted 查到的数据和这句结论相矛盾；inconclusive 查不到判断所需的数据\n"
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"- 没有找到反例不等于结论被推翻：只有数据和结论冲突时才判 refuted\n"
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"- 结论要有出处：一条查询都没执行成功时，判什么都不会被采信；判 refuted 时，理由里至少要引用一处你自己查询的"
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"结果（[[v:Qn.rX.列名]] 或 [[see:Qn]]），否则同样不会被采信"
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)
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CHALLENGE_TASK_PROMPT = (
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"要审的结论（报告「{report}」中的一句{section}）：\n「{claim}」\n\n"
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"写作者给这句挂的证据摘录（编号属于原报告；你的查询另起编号，理由里只能引用你自己的查询）：\n{evidence}\n\n"
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"可以查询的数据源：{sources}\n\n"
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"按上面的做法反查，最后交结论（verdict）和理由（rationale）：理由说清查了什么、看到了什么，里面的数字一律写成"
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"对你自己查询结果的引用，不要直接写数字。"
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)
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#: 交给核查 agent 的结果结构：结论一项；理由由 verify_agent 自动加上（rationale）
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CHALLENGE_SCHEMA: dict[str, Any] = {
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"type": "object",
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"properties": {"verdict": {
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"type": "string", "enum": list(VERDICTS),
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"description": "stands 经受住、weakened 被削弱、refuted 被推翻、inconclusive 无法判断",
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}},
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"required": ["verdict"],
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}
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# --------------------------------------------------------------------------
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# 执行器
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# --------------------------------------------------------------------------
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async def run_challenge(state: GraphState, ctx: NodeContext) -> dict[str, Any]:
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spec, node = ctx.run.spec, ctx.node
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# 节点自己的配置直接读 node.config，不走 ctx.cfg：图级 defaults 里的 provider / model 是写作模型的，
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# 拿来当反方模型就成了自己审自己
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config = node.config
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# 画布校验也拦这几项；执行时再守一道，报的是同一句话（跳过校验执行的旧图、改坏了的配置）
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if problems := challenge_problems(config):
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raise NodeError(node.id, "；".join(message for _, message in problems))
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report_id, problem = challenge_report(spec, node)
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if report_id is None:
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raise NodeError(node.id, problem or "反方审稿找不到要审的报告")
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title = spec.node_map()[report_id].title
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settings = await _verify_settings(ctx)
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part = settings.get("challenge") if isinstance(settings.get("challenge"), dict) else {}
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enabled = config.get("enabled")
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if not (part.get("enabled", True) if enabled is None else enabled):
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from app.api.settings import VERIFY_SETTING_LABEL
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return _skip(ctx, "disabled", f"反方审稿已关闭（设置中的「{VERIFY_SETTING_LABEL['challenge.enabled']}」，"
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f"或节点的「{CHALLENGE_LABEL['enabled']}」），本节点已跳过")
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written = (state.get("nodes") or {}).get(report_id)
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written = written if isinstance(written, dict) else {}
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doc_artifact = written.get("doc_artifact") if isinstance(written.get("doc_artifact"), str) else None
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doc = _load_doc(doc_artifact)
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if doc is None or doc_artifact is None:
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return _skip(ctx, "no_report", f"报告「{title}」的报告文档无法读取（没有写出，或保存失败），本节点已跳过")
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claims = pick_claims(doc)
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if not claims:
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return _skip(ctx, "no_claims", f"报告「{title}」中没有可审的结论句，本节点已跳过")
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max_claims = _limit(config, part, "max_claims")
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max_queries = _limit(config, part, "max_queries")
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timeout_s = _limit(config, part, "timeout_s")
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catalog = doc.get("catalog") if isinstance(doc.get("catalog"), dict) else {}
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from app.api.settings import verify_model_spec # 在这里导入：api.settings 导入了 engine 里的模块
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async with SessionLocal() as session:
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model_spec = await verify_model_spec(session, config, settings=settings)
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review = _Review(
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ctx, report_id=report_id, title=title, doc_artifact=doc_artifact, doc=doc, catalog=catalog, claims=claims,
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max_claims=None if max_claims is None else int(max_claims),
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max_queries=None if max_queries is None else int(max_queries),
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timeout_s=None if timeout_s is None else float(timeout_s), daily_max_usd=settings.get("daily_max_usd"),
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spec=model_spec, masks=await judging.source_masks(catalog),
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writer_model=written.get("model") if isinstance(written.get("model"), str) else None,
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)
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outcome = await _reviewed(ctx, state, review)
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return _finish(ctx, state, outcome, on_refuted=str(config.get("on_refuted") or "degrade"))
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async def _reviewed(ctx: NodeContext, state: GraphState, review: _Review) -> dict[str, Any]:
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"""这一次执行的审稿结果。
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- 进 checkpoint：整个反查在一个 @task 里，接着跑时直接取这里的结果，不再查库、不再记账（每日账也记在这里面）；
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事件都在这里面发，取缓存时不会再发一遍
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- 带输入指纹（_Review.key）：接着跑时可以带着改过配置的图（runner.continue_failed）。只改了「结论被推翻时」的，
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审稿沿用（判失败的报错就是这么建议的）；改了要审的报告、反方模型、上限的，缓存里那份是按旧配置审的，对不上就
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往后翻、重新审——不然换了报告，审批卡会把对另一份报告的审稿挂上来（做法同 report.py 的裁判）
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- 同一次执行里的重试（节点的「失败重试次数」）沿用已经审完的：重试把执行器整个再调一遍，task 成了这次执行里的
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又一次调用，不命中缓存。再审一遍既多花一份钱，模型换个说法还会把「被推翻」重审掉，最严的处置反倒放行
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"""
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reviews = ctx.run.extra.setdefault(_REVIEWS_KEY, {})
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slot = (ctx.node.id, next_exec(state, ctx.node.id), review.key)
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if slot not in reviews:
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reviews[slot] = await _review_once(review)
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return reviews[slot]
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async def _review_once(review: _Review) -> dict[str, Any]:
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if _in_graph():
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@task
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async def challenge_step(key: str) -> dict[str, Any]:
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return {**await review.run(), "key": key}
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for _ in range(_STALE_LIMIT):
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outcome = await challenge_step(review.key)
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if outcome.get("key") == review.key:
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return outcome
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return await review.run()
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def _skip(ctx: NodeContext, reason: str, message: str) -> dict[str, Any]:
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"""直通：不改任何状态，记一条 challenge_skipped。审批卡认不出审稿结果（没有 counts），不会附上概况。"""
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ctx.emit(EventType.LOG, level="info", code="challenge_skipped", reason=reason, message=message)
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return {"nodes": {ctx.node.id: {"skipped": True, "reason": reason}}}
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async def _verify_settings(ctx: NodeContext) -> dict[str, Any]:
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"""核查设置：发起时快照进运行选项的那份（run.options["verify"]），补齐默认、去掉坏值；没有快照的运行按设置的
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当前值。"""
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from app.api.settings import verify_settings, verify_values
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from app.engine.runner import RUN_OPTIONS_KEY
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options = ctx.run.extra.get(RUN_OPTIONS_KEY)
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snapshot = options.get("verify") if isinstance(options, dict) else None
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if isinstance(snapshot, dict):
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return verify_values(snapshot)
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async with SessionLocal() as session:
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return await verify_settings(session)
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def _limit(config: dict[str, Any], part: dict[str, Any], key: str) -> Any:
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"""节点上写了的上限盖过设置；留空（不写、写 null）沿用设置，设置里的 null 才是不限。"""
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value = config.get(key)
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return part.get(key) if value in (None, "") else value
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def _load_doc(artifact: str | None) -> dict[str, Any] | None:
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if not artifact:
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return None
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try:
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doc = artifact_store.load(artifact)
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except ValueError: # 和哈希对不上：被改过的文档不审
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return None
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return doc if isinstance(doc, dict) else None
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def pick_claims(doc: dict[str, Any]) -> list[judging.Candidate]:
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"""要审的结论句：裁判预筛排好的候选（judge.candidates），去掉裁判已经判成「不是结论」的。"""
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units = {u.get("id"): u for _, u in iter_units(doc)}
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out: list[judging.Candidate] = []
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||
for cand in judging.candidates(doc):
|
||
verdict = (units.get(cand.unit) or {}).get("verdict")
|
||
if isinstance(verdict, dict) and verdict.get("status") == "not_a_claim":
|
||
continue
|
||
out.append(cand)
|
||
return out
|
||
|
||
|
||
# --------------------------------------------------------------------------
|
||
# 数据源：这句引用的证据背后是哪几个库
|
||
# --------------------------------------------------------------------------
|
||
|
||
|
||
def _fetcher() -> Callable[[Any], Any]:
|
||
"""按工件 id 取工件（复验哈希），同一份只读一次；取不到、被改过的当没有。"""
|
||
memo: dict[str, Any] = {}
|
||
|
||
def fetch(artifact: Any) -> Any:
|
||
key = str(artifact or "")
|
||
if key not in memo:
|
||
try:
|
||
memo[key] = artifact_store.load(key) if key else None
|
||
except Exception: # noqa: BLE001 - 取不回来就当没有：少一个源，不让整个审稿失败
|
||
memo[key] = None
|
||
return memo[key]
|
||
|
||
return fetch
|
||
|
||
|
||
def _snapshot_sources(snapshot: Any) -> list[str]:
|
||
"""一份查询快照背后的数据源：合并查询是它合并的那几个源，其余是快照记的源。"""
|
||
if not isinstance(snapshot, dict):
|
||
return []
|
||
if snapshot.get("source") == MERGE_SOURCE:
|
||
return [str(s) for s in snapshot.get("sources") or [] if s]
|
||
return [str(snapshot["source"])] if snapshot.get("source") else []
|
||
|
||
|
||
def claim_sources(aliases: Iterable[str], catalog: dict[str, Any], fetch: Callable[[Any], Any]) -> list[str]:
|
||
"""这几件证据背后的数据源（去重保序）：查询的、口径卡指标的输入取自的查询的、表和字段的。知识库检索、运行输入
|
||
背后没有数据源。认法同裁判找遮罩（judge.source_masks）。"""
|
||
out: list[str] = []
|
||
for alias in aliases:
|
||
entry = catalog.get(alias)
|
||
if not isinstance(entry, dict):
|
||
continue
|
||
kind = entry.get("kind")
|
||
found: list[str] = []
|
||
if kind == "query":
|
||
source = entry.get("source")
|
||
found = [str(source)] if source and source != MERGE_SOURCE else _snapshot_sources(fetch(entry.get("artifact")))
|
||
elif kind == "metric":
|
||
card = fetch(entry.get("artifact"))
|
||
wanted = (entry.get("locator") or {}).get("metric")
|
||
for metric in (card.get("metrics") if isinstance(card, dict) else None) or []:
|
||
if isinstance(metric, dict) and metric.get("id") == wanted:
|
||
for item in metric.get("inputs") or []:
|
||
if isinstance(item, dict) and item.get("artifact"):
|
||
found += _snapshot_sources(fetch(item["artifact"]))
|
||
elif kind in ENTITY_KINDS:
|
||
source = entry.get("source")
|
||
found = [str(source)] if source else next(
|
||
(_snapshot_sources(fetch(o.get("artifact"))) for o in entry.get("sources") or []
|
||
if isinstance(o, dict) and o.get("kind") == "schema"), [])
|
||
out.extend(s for s in found if s not in out)
|
||
return out
|
||
|
||
|
||
# --------------------------------------------------------------------------
|
||
# 逐句反查
|
||
# --------------------------------------------------------------------------
|
||
|
||
|
||
def _zero_usage() -> dict[str, Any]:
|
||
return {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0, "cost_usd": 0.0, "calls": 0, "unpriced_calls": 0}
|
||
|
||
|
||
def _add_usage(total: dict[str, Any], more: dict[str, Any]) -> dict[str, Any]:
|
||
out = dict(total)
|
||
for key, value in (more or {}).items():
|
||
if isinstance(value, (int, float)) and not isinstance(value, bool) and key in out:
|
||
out[key] += value
|
||
out["cost_usd"] = round(out["cost_usd"], 6)
|
||
return out
|
||
|
||
|
||
def _claim(cand: judging.Candidate, verdict: str, rationale: str, *, doc: dict[str, Any] | None = None,
|
||
queries: Iterable[dict[str, Any]] = (), usage: dict[str, Any] | None = None) -> dict[str, Any]:
|
||
"""审稿记录里的一句。rationale 是渲染后的正文；系统替它说的（没有可查的源、没能反查）rationale_doc 为 None。"""
|
||
return {"unit": cand.unit, "text": cand.text, "verdict": verdict, "rationale": rationale, "rationale_doc": doc,
|
||
"queries": [{k: q.get(k) for k in _QUERY_KEYS} for q in queries], "usage": usage or _zero_usage()}
|
||
|
||
|
||
def _claim_of(cand: judging.Candidate, outcome: VerifyOutcome) -> tuple[dict[str, Any], str | None]:
|
||
"""反查 agent 交回的 → (审稿记录里的一句, 这句没能反查的原因)。反查过了的原因是 None。
|
||
|
||
反方的结论要有出处才采信：一条查询都没执行成功的（没有可用的工具、查询全部失败、根本没查），判什么都记为无法
|
||
判断——零查询的「被推翻」能让正式出具降档，零查询的「经受住」会在审批卡上给人假安心。判「被推翻」的，理由里还得
|
||
引用到自己的查询结果（resolved 的 [[v:]] / [[see:]]），审稿记录里才查得到凭什么推翻。"""
|
||
if outcome.result is None:
|
||
# 没交成结果（模型不可用、调用失败、触顶时连收尾都没赶上）：查过的照记，结论只能是无法判断
|
||
why = outcome.error or "原因不明"
|
||
return _claim(cand, "inconclusive", f"反查未完成：{why}", queries=outcome.queries, usage=outcome.usage), why
|
||
verdict = str(outcome.result.get("verdict") or "").strip().lower()
|
||
verdict = verdict if verdict in VERDICTS else "inconclusive"
|
||
rationale = str(outcome.result.get(RATIONALE) or "")
|
||
if not outcome.queries:
|
||
why = "反查没有执行成功任何查询"
|
||
return _unfounded(cand, outcome, verdict, why), why
|
||
if verdict == "refuted" and not _cites(outcome.rationale):
|
||
return _unfounded(cand, outcome, verdict, "理由没有引用到任何查询结果"), None
|
||
return _claim(cand, verdict, rationale, doc=outcome.rationale, queries=outcome.queries, usage=outcome.usage), None
|
||
|
||
|
||
def _cites(doc: dict[str, Any] | None) -> bool:
|
||
"""理由文档里有没有一处引用解析到了 agent 自己的查询结果（compose_doc 只把解析成功的引用记进 unit.cites）。"""
|
||
return isinstance(doc, dict) and any(unit.get("cites") for _, unit in iter_units(doc))
|
||
|
||
|
||
def _unfounded(cand: judging.Candidate, outcome: VerifyOutcome, verdict: str, why: str) -> dict[str, Any]:
|
||
"""没有出处的结论：记为无法判断，系统写明原因，反方原本的结论和理由照录在后面（照录的写法见 _said）。
|
||
rationale_doc 为 None：这段话是系统说的，界面照 rationale 显示，不拿反方那份文档冒充理由。查过的照记。"""
|
||
taken = f"反方给出的「{_VERDICT_LABEL[verdict]}」不予采信，记为无法判断" if verdict != "inconclusive" else "记为无法判断"
|
||
rationale = _said(outcome.rationale, str((outcome.result or {}).get(RATIONALE) or "")).strip()
|
||
said = f"反方的理由：{rationale}" if rationale else "反方没有给出理由"
|
||
return _claim(cand, "inconclusive", f"{why}，{taken}。{said}", queries=outcome.queries, usage=outcome.usage)
|
||
|
||
|
||
def _said(doc: dict[str, Any] | None, rendered: str) -> str:
|
||
"""反方的理由照录成纯文字。界面没有文档可画、按文字显示，文档里标出来的东西得写成字：解析不了的引用渲染成内部
|
||
的占位（⟦?v:Q1.r9.列⟧），换成「（引用无效）」，连同两边隔开它的空格；裸数字后面注明「（无出处）」。按片段在正文
|
||
里的偏移改（片段互不重叠，从后往前改偏移不乱）；文档和正文对不上时只换占位。"""
|
||
if not isinstance(doc, dict) or doc.get("markdown") != rendered:
|
||
return _PLACEHOLDER.sub(_INVALID_REF, rendered)
|
||
edits: list[tuple[int, int, str]] = []
|
||
for _, unit in iter_units(doc):
|
||
for seg in unit.get("segments") or []:
|
||
span = seg.get("span")
|
||
if not (isinstance(span, list) and len(span) == 2 and all(isinstance(x, int) for x in span)):
|
||
continue
|
||
if seg.get("issue") == "uncited_number":
|
||
edits.append((span[1], span[1], _UNSOURCED))
|
||
elif seg.get("issue") == "unresolved_ref" and str(seg.get("text") or "").startswith("⟦?"):
|
||
edits.append((span[0], span[1], _INVALID_REF))
|
||
text = rendered
|
||
for start, end, new in sorted(edits, reverse=True):
|
||
text = text[:start] + new + text[end:]
|
||
return text.replace(f" {_INVALID_REF}", _INVALID_REF).replace(f"{_INVALID_REF} ", _INVALID_REF)
|
||
|
||
|
||
def with_note(doc: dict[str, Any], note: str) -> dict[str, Any]:
|
||
"""理由文档末尾另起一段，写系统的说明（界面按文档画理由，说明只写进 rationale 正文的话看不到）。
|
||
|
||
照 compose_doc 的样子接：段与段之间的空行是这一句开头的结构片段，说明是一句连接性的话，块、句、片段的编号接着
|
||
往下数，统计跟着加——和把说明写进原文再组装出来的一模一样。只是说明不挂出处、不查裸数字（是系统的话，数据源的
|
||
名字里也可能有数字），source（反方的原文）不动。传进来的文档不改，返回新的一份。"""
|
||
markdown = str(doc.get("markdown") or "")
|
||
blocks = list(doc.get("blocks") or [])
|
||
units = [u for b in blocks if isinstance(b, dict) for u in b.get("units") or []]
|
||
first = sum(len(u.get("segments") or []) for u in units if isinstance(u, dict))
|
||
gap = "\n\n" if markdown else ""
|
||
start = len(markdown) + len(gap)
|
||
pieces = [("structural", gap, len(markdown))] if gap else []
|
||
pieces.append(("text", note, start))
|
||
segments = [{"kind": kind, "text": text, "state": "neutral", "span": [at, at + len(text)], "id": f"s{first + i}"}
|
||
for i, (kind, text, at) in enumerate(pieces)]
|
||
unit = {"id": f"u{len(units)}", "kind": "connective", "span": [start, start + len(note)], "cites": [], "see": [],
|
||
"segments": segments}
|
||
out = {**doc, "markdown": markdown + gap + note,
|
||
"blocks": [*blocks, {"type": "paragraph", "units": [unit], "id": f"b{len(blocks)}"}]}
|
||
if isinstance(doc.get("stats"), dict):
|
||
out["stats"] = stats = dict(doc["stats"])
|
||
for key, more in (("units", 1), ("segments", len(segments)), ("connective", 1)):
|
||
if isinstance(stats.get(key), int):
|
||
stats[key] += more
|
||
return out
|
||
|
||
|
||
def _noted(claim: dict[str, Any], note: str) -> dict[str, Any]:
|
||
"""审稿记录里的一句，理由末尾加上系统的说明：有理由文档的写进文档（with_note），正文照文档；没有的接在正文后面。"""
|
||
doc = claim.get("rationale_doc")
|
||
if isinstance(doc, dict):
|
||
doc = with_note(doc, note)
|
||
return {**claim, "rationale": doc["markdown"], "rationale_doc": doc}
|
||
said = str(claim.get("rationale") or "").rstrip()
|
||
return {**claim, "rationale": f"{said}\n\n{note}" if said else note}
|
||
|
||
|
||
async def _usable_sources(names: Iterable[str]) -> set[str]:
|
||
"""这几个数据源里现在能查的：存在、没有停用（核查建工具时也只认这样的，tools/datasource.build_datasource_tools）。
|
||
报告写完到审稿之间源被停用了，这句就没有可查的源：不派 agent，免得白建一次模型、白花一次钱。"""
|
||
wanted = list(dict.fromkeys(names))
|
||
if not wanted:
|
||
return set()
|
||
async with SessionLocal() as session:
|
||
rows = await session.execute(
|
||
select(DataSource.name).where(DataSource.name.in_(wanted), DataSource.enabled.is_(True)))
|
||
return {str(name) for name in rows.scalars()}
|
||
|
||
|
||
def mark_original(excerpt: str, alias: str, queries: Collection[str]) -> str:
|
||
"""证据摘录里指向原报告编号的写法都标上「原报告」：开头的【编号】，和正文里的「查询 Qn」（指标的输入取自哪次
|
||
查询、那次查询的 SQL，表名、字段名出现在哪次查询）。核查 agent 自己的查询也编 Q1、Q2…，不分开的话，它在理由里
|
||
引用的 Q1 会被当成原报告那份快照的格子。只认摘录自己的这两种写法、只认这份报告目录里的查询编号：数据里的值
|
||
（季度列里的 Q1）不动。"""
|
||
text = excerpt.replace(f"【{alias}】", f"【原报告 {alias}】", 1)
|
||
if not queries:
|
||
return text
|
||
names = "|".join(re.escape(q) for q in sorted(queries, key=len, reverse=True))
|
||
return re.sub(rf"查询 ({names})(?!\w)", r"原报告 \1", text)
|
||
|
||
|
||
def _quoted(names: Iterable[str]) -> str:
|
||
"""「a」、「b」：点名几个数据源。"""
|
||
return "、".join(f"「{n}」" for n in names)
|
||
|
||
|
||
def _named(claims: list[dict[str, Any]]) -> str:
|
||
"""「「…」、「…」」：点名最多 _NAMED 句，每句截到 _QUOTE_CHARS 个字。"""
|
||
names = "、".join(f"「{judging.clip_text(c['text'], _QUOTE_CHARS)}」" for c in claims[:_NAMED])
|
||
return names + ("等" if len(claims) > _NAMED else "")
|
||
|
||
|
||
def _refuted_gap(claims: list[dict[str, Any]]) -> str:
|
||
"""出具缺口里的那句：「推翻了 N 句结论：「…」」。不带节点名也不带「反方审稿」：出具契约统一加「反方审稿「节点名」：」
|
||
（没改名的节点只加「反方审稿：」），正文再说一遍就成了「反方审稿：反方审稿推翻了……」。"""
|
||
return f"推翻了 {len(claims)} 句结论：{_named(claims)}"
|
||
|
||
|
||
def _refuted_words(claims: list[dict[str, Any]]) -> str:
|
||
"""时间线、报错里的那句：「反方审稿推翻了 N 句结论：「…」」。它们不经出具契约加前缀，主语得自己带上。"""
|
||
return f"反方审稿{_refuted_gap(claims)}"
|
||
|
||
|
||
def pick_items(claims: list[dict[str, Any]]) -> list[dict[str, Any]]:
|
||
"""节点产出、审批卡里列的几句 {unit, text, verdict}：最多 ITEMS_MAX 句，照原来的顺序。多出来的时候先留被推翻、
|
||
被削弱、没能判断的，再按先后——被推翻的那句不能因为排得靠后就不给审批人看。"""
|
||
keep = range(len(claims)) if len(claims) <= ITEMS_MAX else \
|
||
sorted(sorted(range(len(claims)), key=lambda i: (_RANK.get(claims[i]["verdict"], len(_RANK)), i))[:ITEMS_MAX])
|
||
return [{k: claims[i][k] for k in ("unit", "text", "verdict")} for i in keep]
|
||
|
||
|
||
class _Review:
|
||
"""一次审稿：逐句派核查 agent，写审稿记录，发日志。run() 的返回值进 checkpoint，只放节点产出用得到的。
|
||
|
||
key 是这次审稿的输入指纹：审哪份报告的哪一稿、反方模型、四个上限、数据源现在的遮罩（摘录按它遮）。「结论被推翻时」
|
||
不在里面：它只管审完之后怎么处置，改了它接着跑不必重审。"""
|
||
|
||
def __init__(self, ctx: NodeContext, *, report_id: str, title: str, doc_artifact: str, doc: dict[str, Any],
|
||
catalog: dict[str, Any], claims: list[judging.Candidate], max_claims: int | None,
|
||
max_queries: int | None, timeout_s: float | None, daily_max_usd: float | None, spec: Any,
|
||
masks: dict[str, Any], writer_model: str | None) -> None:
|
||
self.ctx = ctx
|
||
self.report_id, self.title, self.doc_artifact, self.doc, self.catalog = \
|
||
report_id, title, doc_artifact, doc, catalog
|
||
self.total = len(claims)
|
||
self.picked = claims if max_claims is None else claims[:max_claims]
|
||
self.max_claims, self.max_queries, self.timeout_s, self.daily_max_usd = \
|
||
max_claims, max_queries, timeout_s, daily_max_usd
|
||
self.spec, self.masks, self.writer_model = spec, masks, writer_model
|
||
self.fetch = _fetcher()
|
||
#: 这份报告目录里的查询编号：摘录里指向它们的写法标上「原报告」（mark_original）
|
||
self.queries = {a for a, e in catalog.items() if isinstance(e, dict) and e.get("kind") == "query"}
|
||
self.key = content_hash(canonical_json({
|
||
"report": report_id, "doc": doc_artifact, "model": [spec.provider, spec.model],
|
||
"limits": [max_claims, max_queries, timeout_s, daily_max_usd], "masks": masks,
|
||
}))
|
||
|
||
def _limit_words(self, limit: str) -> str:
|
||
if limit == "max_claims":
|
||
return f"每份报告最多审 {self.max_claims} 句"
|
||
if limit == "max_queries":
|
||
return f"每句最多查询 {self.max_queries} 次"
|
||
if limit == "timeout_s":
|
||
return f"每句时长上限 {self.timeout_s:g} 秒"
|
||
return f"全局每日核查金额上限 {_usd(self.daily_max_usd)}"
|
||
|
||
def _capped(self) -> str:
|
||
"""当天的核查金额用完、这句一次模型都没调用时的理由：派出去就撞上的和后面不再派出的，是同一回事。"""
|
||
return f"已达上限（{self._limit_words('daily_max_usd')}），这句未反查"
|
||
|
||
def _task(self, cand: judging.Candidate, sources: list[str], lost: list[str], *, own: bool) -> str:
|
||
"""交给核查 agent 的任务：这句结论、它挂的证据摘录（遮罩照旧，原报告的编号标明，见 mark_original）、可以查的
|
||
数据源；该查的源有停用了的，也告诉它查不了哪几个，免得它把查不到当成没有反例。own：源是这句自己引用的，
|
||
不是没挂依据、按整份报告用到的源查的。"""
|
||
request = judging.prepare(self.doc, self.catalog, units=[cand.unit], loader=self.fetch, masked=self.masks)
|
||
aliases = dict.fromkeys(a for c in request.cands for a in c.aliases if a in request.excerpts)
|
||
evidence = "\n\n".join(mark_original(request.excerpts[a], a, self.queries) for a in aliases)
|
||
gone = f"（{'这句还引用了' if own else '这份报告还用到了'}{_quoted(lost)}，已不存在或已停用，无法查询）" \
|
||
if lost else ""
|
||
return CHALLENGE_TASK_PROMPT.format(
|
||
report=self.title, section=f"，所在小节「{cand.section}」" if cand.section else "", claim=cand.text,
|
||
evidence=evidence or "（这句没有挂依据）", sources="、".join(sources) + gone)
|
||
|
||
async def run(self) -> dict[str, Any]:
|
||
ctx = self.ctx
|
||
if len(self.picked) < self.total:
|
||
skipped = self.total - len(self.picked)
|
||
ctx.emit(EventType.LOG, level="warn", code="challenge_limit", limit="max_claims", claims_skipped=skipped,
|
||
message=f"报告「{self.title}」有 {self.total} 句可审的结论，已达上限（{self._limit_words('max_claims')}），"
|
||
f"{skipped} 句未审")
|
||
# 这句没挂依据时在整份报告引用的数据源里查：写作者看得到的就是这几个库
|
||
everywhere = claim_sources(self.catalog, self.catalog, self.fetch)
|
||
usable = await _usable_sources(everywhere)
|
||
claims: list[dict[str, Any]] = []
|
||
usage = _zero_usage()
|
||
model: str | None = None
|
||
warned = False
|
||
hit: dict[str, list[int]] = {} # 上限 → [触顶的句数, 因此没能给出结论的句数]
|
||
broke = False # 全局每日金额用完了：后面的句子不再派 agent
|
||
broken: str | None = None # 核查模型本身用不了：后面的句子照这个原因记，不再逐句去建模型
|
||
unreviewed: list[str] = [] # 没能反查的句子各自的原因（触顶的由 challenge_limit 说，不在这里）
|
||
partial: list[list[str]] = [] # 反查了、但该查的源有停用了的句子：各自没查成的源
|
||
|
||
def unreached(cand: judging.Candidate, rationale: str, why: str) -> None:
|
||
claims.append(_claim(cand, "inconclusive", rationale))
|
||
unreviewed.append(why)
|
||
|
||
for cand in self.picked:
|
||
if broke:
|
||
hit["daily_max_usd"][1] += 1
|
||
claims.append(_claim(cand, "inconclusive", self._capped()))
|
||
continue
|
||
if broken is not None:
|
||
unreached(cand, f"反查未完成：{broken}", broken)
|
||
continue
|
||
try:
|
||
own = claim_sources(cand.aliases, self.catalog, self.fetch)
|
||
sources = own or everywhere
|
||
live = [s for s in sources if s in usable]
|
||
lost = [s for s in sources if s not in usable]
|
||
task_text = self._task(cand, live, lost, own=bool(own)) if live else ""
|
||
except Exception as e: # noqa: BLE001 - 一句的摘录出了意外（坏形状的工件），只让这一句没审成
|
||
why = f"整理证据摘录时出错（{describe_exception(e)}）"
|
||
unreached(cand, f"反查未完成：{why}", why)
|
||
continue
|
||
# 没挂依据的句子查的是整份报告用到的源，不是「这句引用的」
|
||
where = "这句引用的" if own else "这份报告用到的"
|
||
if not sources:
|
||
why = "这份报告引用的证据中没有数据库查询，没有可以反查的数据源"
|
||
unreached(cand, f"{why}，这句未反查", why)
|
||
continue
|
||
if not live:
|
||
why = f"数据源{_quoted(sources)}已不存在或已停用"
|
||
unreached(cand, f"{where}{why}，没有可以反查的数据源，这句未反查", why)
|
||
continue
|
||
outcome = await run_verify_agent(
|
||
spec=self.spec, system=CHALLENGE_SYSTEM, task=task_text, sources=live,
|
||
output_schema=CHALLENGE_SCHEMA, max_queries=self.max_queries, timeout_s=self.timeout_s,
|
||
daily_max_usd=self.daily_max_usd, emit=ctx.emit, run_id=ctx.run.run_id, node_id=ctx.node.id,
|
||
data_versions=run_versions(ctx.run))
|
||
if outcome.error and not outcome.model:
|
||
broken = outcome.error # 连模型都没建成（没配好、接入出错）：换一句也一样
|
||
model = model or outcome.model
|
||
if not warned and outcome.model and outcome.model == self.writer_model:
|
||
warned = True
|
||
ctx.emit(EventType.LOG, level="warn", code="challenge_same_model", model=outcome.model,
|
||
message=f"反方模型与报告的写作模型相同（「{outcome.model}」），难以发现写作模型自身的错误。"
|
||
f"请在设置的「核查」一节选择另一个模型，或在节点的「{CHALLENGE_LABEL['model']}」中指定")
|
||
claim, why = _claim_of(cand, outcome)
|
||
if outcome.limit == "daily_max_usd" and outcome.result is None and not outcome.usage.get("calls"):
|
||
# 派出去就撞上每日金额上限、一次模型都没调用：和后面不再派出的句子是同一回事，同一种说法
|
||
claim = _claim(cand, "inconclusive", self._capped(), queries=outcome.queries, usage=outcome.usage)
|
||
elif lost and why is None:
|
||
# 反查了，可该查的源有停用了的：判断照常采信，理由末尾写明哪几个没查（只写在任务里的话，审稿记录和
|
||
# 审批卡上的「经受住」看着就像每个源都查过了）
|
||
claim = _noted(claim, f"注：{where}数据源{_quoted(lost)}已不存在或已停用，未能查询，以上判断不含其中的数据。")
|
||
partial.append(lost)
|
||
claims.append(claim)
|
||
usage = _add_usage(usage, outcome.usage)
|
||
if outcome.limit in _CLAIM_LIMITS:
|
||
counted = hit.setdefault(outcome.limit, [0, 0])
|
||
counted[0] += 1
|
||
counted[1] += why is not None
|
||
broke = outcome.limit == "daily_max_usd"
|
||
elif why is not None:
|
||
unreviewed.append(why)
|
||
|
||
counts = {v: sum(1 for c in claims if c["verdict"] == v) for v in VERDICTS}
|
||
# 没能反查的句数：没派出去、派出去却没查成的（unreviewed 里各有原因），加上触顶时没能给出结论的。都记为无法判断，
|
||
# 可「无法判断 2 句」既可能是查了、数据不够，也可能是根本没查：审批卡要分开说
|
||
missed = len(unreviewed) + sum(skipped for _, skipped in hit.values())
|
||
artifact = await self._store({"report": self.report_id, "doc_artifact": self.doc_artifact, "claims": claims,
|
||
"model": model})
|
||
for limit, (touched, skipped) in hit.items():
|
||
words = self._limit_words(limit)
|
||
message = f"已达上限（{words}），{skipped} 句未反查" if limit == "daily_max_usd" else \
|
||
f"有 {touched} 句反查已达上限（{words}），已按查到的结果收尾" + \
|
||
(f"，其中 {skipped} 句未能给出结论" if skipped else "")
|
||
ctx.emit(EventType.LOG, level="warn", code="challenge_limit", limit=limit, claims_skipped=skipped,
|
||
message=message)
|
||
if unreviewed:
|
||
more = "等" if len(set(unreviewed)) > 1 else ""
|
||
ctx.emit(EventType.LOG, level="warn", code="challenge_unreviewed", claims_skipped=len(unreviewed),
|
||
reason=unreviewed[0],
|
||
message=f"反方审稿有 {len(unreviewed)} 句结论未能反查，已记为无法判断：{unreviewed[0]}{more}")
|
||
if partial:
|
||
names = list(dict.fromkeys(s for gone in partial for s in gone))
|
||
ctx.emit(EventType.LOG, level="warn", code="challenge_sources_lost", claims=len(partial), sources=names,
|
||
message=f"反方审稿有 {len(partial)} 句结论只查了部分数据源：{_quoted(names)}已不存在或已停用，"
|
||
f"未能查询，{'这句' if len(partial) == 1 else '这几句'}的判断不含其中的数据")
|
||
# 真正查过的和没查成的分开说：「无法判断 2 句」可能是数据不够，也可能是一条查询都没执行成功
|
||
idle = sum(1 for c in claims if not c["queries"])
|
||
ctx.emit(EventType.LOG, level="info", code="challenge_done", counts=counts, artifact=artifact,
|
||
message=f"反方审稿完成：审了 {len(claims)} 句结论，经受住 {counts['stands']} 句、被削弱 "
|
||
f"{counts['weakened']} 句、被推翻 {counts['refuted']} 句、无法判断 {counts['inconclusive']} 句"
|
||
+ (f"，其中 {idle} 句未能反查（没有执行成功任何查询）" if idle else ""))
|
||
if refuted := [c for c in claims if c["verdict"] == "refuted"]:
|
||
ctx.emit(EventType.LOG, level="warn", code="challenge_refuted",
|
||
items=[{"unit": c["unit"], "text": c["text"]} for c in refuted[:ITEMS_MAX]],
|
||
message=_refuted_words(refuted))
|
||
return {"artifact": artifact, "counts": counts, "usage": usage, "unreviewed": missed,
|
||
"claims": [{k: c[k] for k in ("unit", "text", "verdict")} for c in claims]}
|
||
|
||
async def _store(self, record: dict[str, Any]) -> str | None:
|
||
try:
|
||
return await artifact_store.put_json(record, kind="challenge", run_id=self.ctx.run.run_id,
|
||
node_id=self.ctx.node.id, meta={"report": self.report_id})
|
||
except Exception as e: # noqa: BLE001 - 记录写失败不毁掉运行：结论照常处置，只是理由和查询点不开
|
||
self.ctx.emit(EventType.LOG, level="warn", code="evidence_store_failed",
|
||
message=f"反方审稿记录保存失败（{describe_exception(e)}），审稿的理由和查询将无法查看")
|
||
return None
|
||
|
||
|
||
def _finish(ctx: NodeContext, state: GraphState, outcome: dict[str, Any], *, on_refuted: str) -> dict[str, Any]:
|
||
"""反查的结果 → 节点产出；被推翻的按 on_refuted 处置。重放时 outcome 取自 checkpoint，算出来的一样。
|
||
|
||
产出里的 on_refuted 写实际生效的处置，只有 degrade / flag 两种（期 3 的约定：审批卡据此决定写不写「出具会降档」）。
|
||
配的是「报错并停止运行」却走到了这里，只有两种情形：没有句子被推翻，什么都没处置，记成只标注；有被推翻的却又配了
|
||
「出错时：记录错误并继续」（画布校验拦这个组合，跳过校验的旧图才会走到）——这时报错会被当成普通错误吞掉，被推翻
|
||
的结论照常完整出具，比默认的降档还松，所以改按出具降档处置。"""
|
||
claims = outcome.get("claims") or []
|
||
refuted = [c for c in claims if c.get("verdict") == "refuted"]
|
||
if on_refuted == "fail":
|
||
if refuted and ctx.node.config.get("on_error") != "continue":
|
||
which = "这句" if len(refuted) == 1 else "这几句"
|
||
raise NodeError(ctx.node.id, f"{_refuted_words(refuted)}。请核对{which}结论；如只需记录，可将"
|
||
f"「{CHALLENGE_LABEL['on_refuted']}」改为「{CHALLENGE_ON_REFUTED_LABEL['flag']}」")
|
||
on_refuted = "degrade" if refuted else "flag"
|
||
result: dict[str, Any] = {"challenge_artifact": outcome.get("artifact"), "counts": outcome.get("counts") or {},
|
||
"items": pick_items(claims), "on_refuted": on_refuted,
|
||
"degrades": on_refuted == "degrade" and feeds_issuance(ctx.run.spec, ctx.node.id)}
|
||
# checkpoint 里升级前审的结果没有这一项：不知道就不写，审批卡照旧不说
|
||
if isinstance(outcome.get("unreviewed"), int):
|
||
result["unreviewed"] = outcome["unreviewed"]
|
||
if refuted and on_refuted == "degrade":
|
||
result["issuance_gaps"] = [_refuted_gap(refuted)]
|
||
updates: dict[str, Any] = {"nodes": {ctx.node.id: result}}
|
||
spent = outcome.get("usage") or {}
|
||
if spent.get("calls"):
|
||
updates["usage"] = {k: spent.get(k, 0) for k in ("input_tokens", "output_tokens", "total_tokens", "cost_usd",
|
||
"calls")}
|
||
if outcome.get("artifact") and ledger_enabled(ctx.run):
|
||
# 台账只记审稿记录本身（kind challenge）：它的查询不进写作目录，报告按台账编 Q1… 时看不到它们
|
||
updates["evidence"] = [{"kind": "challenge", "node_id": ctx.node.id, "exec": next_exec(state, ctx.node.id),
|
||
"artifact": outcome["artifact"]}]
|
||
return updates
|
||
|
||
|
||
# --------------------------------------------------------------------------
|
||
# 审批卡
|
||
# --------------------------------------------------------------------------
|
||
|
||
|
||
def feeds_issuance(spec: GraphSpec, node_id: str) -> bool:
|
||
"""这个节点在不在某个带出具契约的成果节点上游。成果节点的出具契约只收上游报上来的缺口（nodes/io.py 的
|
||
_upstream_issuance_gaps）：接在侧枝上、或者在成果之后，被推翻的结论记了缺口也进不了出具。认法同画布校验
|
||
（schema._check_challenge 的「不在成果节点上游」警告）。"""
|
||
return any(node_id in _ancestors(spec, n.id) for n in spec.nodes
|
||
if n.type == NodeType.OUTPUT and n.config.get("contract"))
|
||
|
||
|
||
def challenge_summary(spec: GraphSpec, outputs: dict[str, Any], report_id: str) -> dict[str, Any] | None:
|
||
"""审批卡上这份报告的反方审稿概况 {counts, items, artifact, on_refuted, unreviewed, degrades}：审它的、已经审完的
|
||
反方审稿节点给的。没有（没加反方审稿、还没审到、直通了）返回 None，审批卡不加这个键。几个反方审稿节点审同一份报告
|
||
时取画布上靠后的那个。只看图和状态：重放时算出来的一样。unreviewed、degrades 是期 4 加的：升级前的产出没有，
|
||
概况也不带（审批卡按旧规则说）。"""
|
||
found: dict[str, Any] | None = None
|
||
for node in spec.nodes:
|
||
result = outputs.get(node.id)
|
||
if node.type != NodeType.CHALLENGE or not isinstance(result, dict) or not isinstance(result.get("counts"), dict):
|
||
continue
|
||
if challenge_report(spec, node)[0] != report_id:
|
||
continue
|
||
found = {"counts": dict(result["counts"]), "items": list(result.get("items") or [])[:ITEMS_MAX],
|
||
"artifact": result.get("challenge_artifact"), "on_refuted": result.get("on_refuted") or "degrade"}
|
||
if isinstance(result.get("unreviewed"), int) and not isinstance(result["unreviewed"], bool):
|
||
found["unreviewed"] = result["unreviewed"]
|
||
if isinstance(result.get("degrades"), bool):
|
||
found["degrades"] = result["degrades"]
|
||
return found
|
||
|
||
|
||
__all__ = ["CHALLENGE_SYSTEM", "ITEMS_MAX", "VERDICTS", "challenge_summary", "claim_sources", "feeds_issuance",
|
||
"mark_original", "pick_claims", "pick_items", "run_challenge", "with_note"]
|