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ThearchyHelios
ced7234180
为什么：出具用的参数来自比对时的绑定，运行时要渲染进口径的 SQL 模板。写在引号里的值带着引号、裸写的值不是数，渲染出来就不是那一版口径的 SQL 了。组合时校验助手给的参数用的是同一个判断（ledger/compose.slot_contexts / value_problem），这里共用；那张图里别的节点引用运行时变量的不归出具管，跳过不报。宁可少出具，照实说为什么不代填。
550 lines
29 KiB
Python
550 lines
29 KiB
Python
"""沉淀：可沉淀的问题（认证队列）和「固化成口径草稿」（docs/design/next-round/02-口径账本.md 做法 8，拍板 L9）。
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同一类问题被反复问、Agent 反复写出同一个形状的 SQL，就该沉淀成一份口径：以后再问，比对器认得出「等价已证明」，还能按口径
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正式出具。以前的 from-run 提取保留 Agent，沉淀出的模板没有固定 SQL，以后永远比对不上；聚类又混着 history。
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**认证队列**（GET /api/ledger/certify-queue，搭建者及以上）三种信号：
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- 确定性重复（shape）：问数据的探索运行里执行过、被报告引用（比对工件里标签记着的查询）、又没对上任何口径（none / related）
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的查询，按（数据源、normalize_sql 的规范文本）分组；出现在 ≥ REPEAT_RUNS 次运行、来自 ≥ REPEAT_CONVERSATIONS 段对话的进队。
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跨运行变化的字面量位置是参数候选，不变的是口径常量。展示的是规范文本（字面量都换成了「?」，不带取值）；
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- 问题聚类（cluster）：app/chat/questions 全站唯一的聚类（只取问题原文、不含 history、排除系统派生的运行），≥ REPEAT_RUNS
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个问题的类；
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- 被反复用的答案（reused）：导出过 ≥ 2 次（report.exported 审计，第 2 波）、做成过应用（蓝图的来源是这次运行）、在画布里
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打开过或提取过（工作流的 origin.run_id 是这次运行）的轮次。
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每项给代表问题、轮次链接、（shape 的）SQL 形状和参数候选、有没有相关口径（可以对账的那份）、是不是已经固化过。点「不是口径」
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写一条审计（ledger.certify.dismiss，subject 是这一项的 id），之后不再进队。门槛同 ledger/stats（E3 的重复度）。
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**固化成口径草稿**（freeze，from-run 加 freeze 选项后转调它）：代表运行里报告引用了的查询，各变成一个调用工具节点——SQL 用
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规范化后的文本，跨轮变化的字面量换成 '{{ input.p1 }}'（同组的别的运行 peers 用来认哪些位置变了），入口字段的缺省值取
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代表运行里的值；只有一行的结果每个数值列建一项口径卡指标（cell(nodes.取数, 0, '列')）；报告节点保留，出口契约写
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report_from + metrics_from（有多行结果的另加 cells: true），过 validate_graph。新工作流记 origin.sources：
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[{run_id, conversation_id, turn_id, question}]，这就是「口径 → 来源问题」的记录。之后由人在画布上审改、按受管级别发布——
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提取器是作者，不是发布者。
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**发布之后补比**（after_publish）：工作流发布时，origin.sources 里的来源运行在后台按现在的口径补比一次（trigger=certified，
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标「按之后发布的口径回看」），E1 也就有了回溯数据。
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"""
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from __future__ import annotations
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import asyncio
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import hashlib
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import logging
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from collections.abc import Sequence
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from dataclasses import dataclass, field
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from typing import Any
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from sqlalchemy import select
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from app.db.models import Run
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logger = logging.getLogger(__name__)
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#: 门槛：同一个形状出现在几次运行里、来自几段对话；被导出几次算反复用（同 ledger/stats 的 E3）
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REPEAT_RUNS = 3
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REPEAT_CONVERSATIONS = 2
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EXPORTS = 2
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#: 看最近多少次问数据运行、每项最多列几轮
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RUN_LIMIT = 500
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TURNS_LIMIT = 10
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QUESTION_LIMIT = 500
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#: 「不是口径」的审计
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DISMISS_ACTION = "ledger.certify.dismiss"
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SUBJECT_KIND = "ledger_certify"
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KINDS = ("shape", "cluster", "reused")
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#: 固化被拒的说法
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NOT_FOUND = "运行记录不存在，可能已被删除"
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NOT_MATCHED = "这次运行还没有比对口径，比对完才能固化（打开它的口径账本会按需比对）"
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NOT_SUCCEEDED = "这次运行没有成功结束，提取出的查询不完整"
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NO_QUERIES = "这次运行的报告没有引用任何查询结果，没有可固化的取数"
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UNPARSED = "这次的 SQL 无法规范化（{reason}），不能固化成固定的取数"
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SNAPSHOT = "查询快照读不出来（文件缺失或与哈希不一致），不能固化"
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#: 新工作流的说明、报告指令
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DRAFT_NAME = "{question}（固化的口径草稿）"
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DRAFT_DESCRIPTION = ("从问数据的回答固化：报告引用了的 {n} 条查询变成固定的取数，跨轮变化的 {p} 个字面量成为入口参数。"
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"经人工审核、按受管级别发布后，再问同样的问题就能认出等价、按口径出具")
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REPORT_INSTRUCTIONS = "回答：{question}"
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class CertifyRefused(Exception):
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def __init__(self, status_code: int, message: str) -> None:
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super().__init__(message)
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self.status_code = status_code
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self.message = message
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def item_id(kind: str, key: str) -> str:
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return f"{kind}:{hashlib.sha256(key.encode()).hexdigest()[:16]}"
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# ==========================================================================
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# SQL 的形状和参数
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# ==========================================================================
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@dataclass(frozen=True)
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class Shape:
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"""一条查询的形状：数据源、规范文本（字面量换成「?」）、字面量（SQL 写法，字符串带引号）、规范化失败的原因。"""
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source: str
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text: str
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literals: tuple[str, ...]
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problem: str | None = None
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def shape_of(snap: Any, kinds: dict[str, str | None]) -> Shape | None:
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from app.data.sql_semantics import normalize_sql
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if not isinstance(snap, dict) or not isinstance(snap.get("sql"), str) or not snap["sql"].strip():
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return None
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source = str(snap.get("source") or "")
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norm = normalize_sql(snap["sql"], kinds.get(source))
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return Shape(source, norm.text, norm.literals, norm.parse_error)
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def varying(literals: Sequence[Sequence[str]]) -> list[int]:
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"""几次运行同一个形状的字面量：哪几个位置跨运行变过（参数候选），不变的是口径常量。长度不一致的那几份不算。"""
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rows = [list(row) for row in literals]
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if not rows:
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return []
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width = len(rows[0])
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same = [r for r in rows if len(r) == width]
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return [i for i in range(width) if len({r[i] for r in same}) > 1]
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def _unquote(literal: str) -> str | None:
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"""'2026-09-01' → 2026-09-01；不是普通单引号字符串（N'…'、x'…'、$$…$$）的为 None。"""
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if len(literal) >= 2 and literal[0] == "'" and literal[-1] == "'":
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return literal[1:-1].replace("''", "'")
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return None
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def _number(literal: str) -> int | float | None:
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try:
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value = float(literal)
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except ValueError:
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return None
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return int(value) if value.is_integer() and "." not in literal and "e" not in literal.lower() else value
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def template_of(shape: Shape, params: Sequence[int], dialect: str | None, *,
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start: int = 1) -> tuple[str, list[dict[str, Any]]]:
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"""规范文本 + 参数位置 → (口径的取数 SQL 模板, 入口字段)。参数位置的字面量换成 '{{ input.pN }}'（字符串）或
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{{ input.pN }}（数，N 从 start 起），缺省值是这一次的值；别的位置照原样写回字面量。规范文本按方言重新切词，按「?」的
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先后对上字面量。"""
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from app.data.sql_semantics import PLACEHOLDER, _read, _tokens
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tokens = [t for t in _tokens(shape.text, _read(dialect)) if shape.text[t.start:t.end + 1] == PLACEHOLDER]
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if len(tokens) != len(shape.literals):
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raise CertifyRefused(409, UNPARSED.format(reason="字面量对不上"))
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out: list[str] = []
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fields: list[dict[str, Any]] = []
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pos = 0
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wanted = set(params)
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for i, (token, literal) in enumerate(zip(tokens, shape.literals)):
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out.append(shape.text[pos:token.start])
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pos = token.end + 1
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text, number = _unquote(literal), _number(literal)
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if i in wanted and (text is not None or number is not None):
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name = f"p{start + len(fields)}"
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if text is not None:
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out.append(f"'{{{{ input.{name} }}}}'")
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fields.append({"name": name, "type": "string", "required": True, "default": text})
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else:
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out.append(f"{{{{ input.{name} }}}}")
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fields.append({"name": name, "type": "number", "required": True, "default": number})
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else:
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out.append(literal)
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out.append(shape.text[pos:])
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return "".join(out), fields
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# ==========================================================================
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# 认证队列
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# ==========================================================================
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@dataclass
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class _Member:
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run_id: str
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artifact: str
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literals: tuple[str, ...]
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conversation_id: str | None
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turn_id: str | None
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question: str
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related: list[dict[str, Any]] = field(default_factory=list)
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def referenced_queries(content: dict[str, Any]) -> list[str]:
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"""比对工件里被报告引用了的查询（标签记着的：单元格的 query、指标的 queries），按先后去重。"""
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out: list[str] = []
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for report in (content.get("reports") or {}).values():
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for label in (report.get("labels") or {}).values():
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for artifact in [label.get("query"), *(label.get("queries") or [])]:
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if isinstance(artifact, str) and artifact and artifact not in out:
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out.append(artifact)
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return out
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async def _turns(session: Any, runs: list[Run]) -> dict[str, dict[str, Any]]:
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"""运行 → {conversation_id, turn_id, question}：运行来源里封存的（origin_ref）；老运行退回 conversation_turns.run_id。"""
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from app.db.models import ConversationTurn
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out: dict[str, dict[str, Any]] = {}
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ids = [r.id for r in runs]
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if ids:
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for turn in (await session.execute(select(ConversationTurn).where(ConversationTurn.run_id.in_(ids)))).scalars():
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out.setdefault(turn.run_id, {"conversation_id": turn.conversation_id, "turn_id": turn.id,
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"question": turn.question or ""})
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for run in runs:
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origin = run.origin if isinstance(run.origin, dict) else {}
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found = out.setdefault(run.id, {"conversation_id": None, "turn_id": None, "question": ""})
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if origin.get("conversation_id"):
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found["conversation_id"] = str(origin["conversation_id"])
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found["turn_id"] = str(origin.get("turn_id") or found.get("turn_id") or "") or None
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if not found["question"] and isinstance(run.input, dict) and isinstance(run.input.get("question"), str):
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found["question"] = run.input["question"]
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return out
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async def _dismissed(session: Any) -> set[str]:
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from app.db.models import AuditEvent
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return {sid for (sid,) in (await session.execute(select(AuditEvent.subject_id).where(
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AuditEvent.action == DISMISS_ACTION, AuditEvent.subject_kind == SUBJECT_KIND))).all() if sid}
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async def _frozen(session: Any) -> dict[str, list[dict[str, Any]]]:
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"""来源运行 → 从它固化出的工作流 [{workflow_id, name, status, published_version}]（origin.sources）。"""
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from app.db.models import Workflow
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out: dict[str, list[dict[str, Any]]] = {}
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for wf in (await session.execute(select(Workflow).where(Workflow.origin.is_not(None)))).scalars():
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for src in (wf.origin or {}).get("sources") or [] if isinstance(wf.origin, dict) else []:
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if isinstance(src, dict) and src.get("run_id"):
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out.setdefault(str(src["run_id"]), []).append(
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{"workflow_id": wf.id, "name": wf.name, "status": wf.status,
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"published_version": wf.published_version})
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return out
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def _turn_view(member: Any) -> dict[str, Any]:
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return {"run_id": member.run_id, "conversation_id": member.conversation_id, "turn_id": member.turn_id,
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"question": member.question}
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async def queue(session: Any, *, principal: Any) -> dict[str, Any]:
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"""认证队列（见模块说明）：{items: [...], threshold, considered}。只读。"""
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from app.chat.questions import cluster_questions, embedder, recent_questions
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from app.core.artifact_store import load
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from app.db.models import Artifact, DataSource
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from app.engine.origin import counted_runs
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from app.ledger import store
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dismissed = await _dismissed(session)
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frozen = await _frozen(session)
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kinds = {name: kind for name, kind in (await session.execute(select(DataSource.name, DataSource.kind))).all()}
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runs = list((await session.execute(select(Run).where(
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Run.origin_kind == "chat", Run.status == "succeeded", Run.run_class != "formal", counted_runs())
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.order_by(Run.created_at.desc()).limit(RUN_LIMIT))).scalars())
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turns = await _turns(session, runs)
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by_run = {r.id: r for r in runs}
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# 每次运行最新的一份比对（store.latest 按事件认这一次封存的；这里只要内容，按工件引用的时间取最新）
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latest: dict[str, tuple[Any, str]] = {}
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if runs:
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for artifact, run_id, at in (await session.execute(select(Artifact.id, Artifact.run_id, Artifact.created_at)
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.where(Artifact.kind == store.KIND,
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Artifact.run_id.in_(list(by_run))))).all():
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if run_id not in latest or (at and latest[run_id][0] and at > latest[run_id][0]):
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latest[run_id] = (at, artifact)
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def read() -> dict[tuple[str, str], list[_Member]]:
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groups: dict[tuple[str, str], list[_Member]] = {}
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for run_id, (_, artifact) in latest.items():
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try:
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content = load(artifact)
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except ValueError:
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continue
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if not isinstance(content, dict) or content.get("format") != store.FORMAT:
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continue
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statuses = {q.get("artifact"): q for q in content.get("queries") or []}
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for query in referenced_queries(content):
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row = statuses.get(query) or {}
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if row.get("status") not in ("none", "related"):
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continue
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try:
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shape = shape_of(load(query), kinds)
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except ValueError:
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shape = None
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if shape is None or shape.problem:
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continue
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info = turns.get(run_id) or {}
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related = [{k: c.get(k) for k in ("caliber", "workflow_id", "version", "level")}
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for c in row.get("candidates") or [] if c.get("status") == "related"]
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groups.setdefault((shape.source, shape.text), []).append(_Member(
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run_id, query, shape.literals, info.get("conversation_id"), info.get("turn_id"),
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str(info.get("question") or ""), related))
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return groups
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groups = await asyncio.to_thread(read)
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items: list[dict[str, Any]] = []
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for (source, text), members in groups.items():
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once = list({m.run_id: m for m in members}.values())
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conversations = {m.conversation_id or f"run:{m.run_id}" for m in once}
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if len(once) < REPEAT_RUNS or len(conversations) < REPEAT_CONVERSATIONS:
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continue
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iid = item_id("shape", f"{source}\n{text}")
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if iid in dismissed:
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continue
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params = varying([m.literals for m in once])
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related = list({r["caliber"]: r for m in once for r in m.related if r.get("caliber")}.values())
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rep = once[0]
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items.append({
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"id": iid, "kind": "shape", "source": source, "shape": text, "runs": len(once),
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"conversations": len(conversations), "question": rep.question,
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"turns": [_turn_view(m) for m in once[:TURNS_LIMIT]],
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"params": [{"index": i, "distinct": len({m.literals[i] for m in once if len(m.literals) > i})}
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for i in params],
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"constants": len(rep.literals) - len(params), "related": related,
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"representative": {"run_id": rep.run_id, "query": rep.artifact},
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"peers": [m.run_id for m in once[1:]],
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"frozen_into": [w for m in once for w in frozen.get(m.run_id, [])],
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})
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# 问题聚类
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questions = await recent_questions(session, principal, limit=QUESTION_LIMIT)
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for cluster in await cluster_questions(questions) if questions else []:
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if cluster.count < REPEAT_RUNS:
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continue
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seed = cluster.members[0]
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iid = item_id("cluster", " ".join(seed.text.split()))
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if iid in dismissed:
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continue
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items.append({"id": iid, "kind": "cluster", "question": seed.text, "count": cluster.count,
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"turns": [{"run_id": q.run_id, "turn_id": q.turn_id, "question": q.text}
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for q in cluster.members[:TURNS_LIMIT]],
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"frozen_into": [w for q in cluster.members if q.run_id for w in frozen.get(q.run_id, [])]})
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items += await _reused(session, runs, turns, dismissed, frozen)
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return {"items": items, "considered": {"runs": len(runs), "matched": len(latest), "questions": len(questions)},
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"threshold": {"runs": REPEAT_RUNS, "conversations": REPEAT_CONVERSATIONS, "exports": EXPORTS},
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"embedder": embedder()}
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async def _reused(session: Any, runs: list[Run], turns: dict[str, dict[str, Any]], dismissed: set[str],
|
||
frozen: dict[str, list[dict[str, Any]]]) -> list[dict[str, Any]]:
|
||
"""被反复用的答案：导出过 ≥ EXPORTS 次、做成过应用、在画布里打开过或提取过（见模块说明）。"""
|
||
from sqlalchemy import func
|
||
|
||
from app.db.models import AuditEvent, Workflow
|
||
from app.db.models_blueprints import Blueprint
|
||
|
||
ids = [r.id for r in runs]
|
||
if not ids:
|
||
return []
|
||
exports = {sid: int(n) for sid, n in (await session.execute(
|
||
select(AuditEvent.subject_id, func.count()).where(AuditEvent.action == "report.exported",
|
||
AuditEvent.subject_kind == "run",
|
||
AuditEvent.subject_id.in_(ids))
|
||
.group_by(AuditEvent.subject_id))).all()}
|
||
apps: set[str] = set()
|
||
for source in (await session.execute(select(Blueprint.source))).scalars():
|
||
if isinstance(source, dict) and source.get("kind") == "run" and source.get("id") in ids:
|
||
apps.add(str(source["id"]))
|
||
canvas: dict[str, list[str]] = {}
|
||
for wf_id, origin, tags in (await session.execute(select(Workflow.id, Workflow.origin, Workflow.tags)
|
||
.where(Workflow.origin.is_not(None)))).all():
|
||
if isinstance(origin, dict) and origin.get("run_id") in ids and not origin.get("sources"):
|
||
canvas.setdefault(str(origin["run_id"]), []).append("extracted" if "extracted" in (tags or []) else "canvas")
|
||
out: list[dict[str, Any]] = []
|
||
for run in runs:
|
||
uses = {"exports": exports.get(run.id, 0), "app": run.id in apps,
|
||
"extracted": "extracted" in canvas.get(run.id, []), "canvas": "canvas" in canvas.get(run.id, [])}
|
||
if not (uses["exports"] >= EXPORTS or uses["app"] or uses["extracted"] or uses["canvas"]):
|
||
continue
|
||
iid = item_id("reused", run.id)
|
||
if iid in dismissed:
|
||
continue
|
||
info = turns.get(run.id) or {}
|
||
out.append({"id": iid, "kind": "reused", "question": info.get("question") or "", "uses": uses,
|
||
"turns": [{"run_id": run.id, "conversation_id": info.get("conversation_id"),
|
||
"turn_id": info.get("turn_id"), "question": info.get("question") or ""}],
|
||
"representative": {"run_id": run.id}, "frozen_into": frozen.get(run.id, [])})
|
||
return out
|
||
|
||
|
||
async def dismiss(session: Any, iid: str, *, kind: str | None = None, note: str | None = None) -> None:
|
||
"""「不是口径」：写一条审计，之后这一项不再进队。"""
|
||
from app.auth.audit import record
|
||
|
||
await record(session, DISMISS_ACTION, SUBJECT_KIND, iid,
|
||
data={k: v for k, v in {"kind": kind, "note": note}.items() if v})
|
||
await session.commit()
|
||
|
||
|
||
# ==========================================================================
|
||
# 固化成口径草稿
|
||
# ==========================================================================
|
||
|
||
|
||
async def freeze(session: Any, run_id: str, *, peers: Sequence[str] = (), name: str = "",
|
||
conversation_id: str | None = None, turn_id: str | None = None) -> dict[str, Any]:
|
||
"""把一次问数据运行固化成口径草稿（见模块说明），落库成新的草稿工作流，返回 {workflow_id, name, nodes, edges, params,
|
||
sources, ...}。peers 是同一组（同一个 SQL 形状）的别的运行：认哪些字面量位置跨轮变了。不能固化抛 CertifyRefused。"""
|
||
from app.api.deps import can_read_run, current_principal
|
||
from app.api.evidence import _reports, _sealed
|
||
from app.core.artifact_store import graph_hash, load
|
||
from app.db.models import DataSource, Workflow, WorkflowVersion
|
||
from app.engine.governance import REPORT_POLICY
|
||
from app.engine.layout import auto_layout
|
||
from app.engine.schema import GraphSpec
|
||
from app.ledger import store
|
||
from app.tools.datasource import QUERY_PREFIX
|
||
|
||
run = await session.get(Run, run_id)
|
||
principal = current_principal()
|
||
if run is None or not await can_read_run(principal, run):
|
||
raise CertifyRefused(404, NOT_FOUND)
|
||
if run.status != "succeeded":
|
||
raise CertifyRefused(409, NOT_SUCCEEDED)
|
||
recorded = await store.latest(run_id)
|
||
if recorded is None or recorded.content is None:
|
||
raise CertifyRefused(409, NOT_MATCHED)
|
||
queries = referenced_queries(recorded.content)
|
||
if not queries:
|
||
raise CertifyRefused(409, NO_QUERIES)
|
||
kinds = {n: k for n, k in (await session.execute(select(DataSource.name, DataSource.kind))).all()}
|
||
|
||
# 同组的别的运行：它们封存的查询里同形状的那一条的字面量
|
||
peer_literals: dict[tuple[str, str], list[tuple[str, ...]]] = {}
|
||
peer_sources: list[dict[str, Any]] = []
|
||
peer_runs = [r for r in [await session.get(Run, p) for p in dict.fromkeys(peers) if p != run_id] if r is not None]
|
||
readable = [r for r in peer_runs if await can_read_run(principal, r)]
|
||
for peer in readable:
|
||
sealed = await _sealed(peer.id)
|
||
for artifact in sealed.queries:
|
||
try:
|
||
shape = shape_of(load(artifact), kinds)
|
||
except ValueError:
|
||
continue
|
||
if shape is not None and not shape.problem:
|
||
peer_literals.setdefault((shape.source, shape.text), []).append(shape.literals)
|
||
sealed = await _sealed(run_id)
|
||
shapes: list[Shape] = []
|
||
snaps: list[dict[str, Any]] = []
|
||
for artifact in queries:
|
||
try:
|
||
snap = load(artifact)
|
||
except ValueError:
|
||
raise CertifyRefused(409, SNAPSHOT) from None
|
||
shape = shape_of(snap, kinds)
|
||
if shape is None:
|
||
raise CertifyRefused(409, SNAPSHOT)
|
||
if shape.problem:
|
||
raise CertifyRefused(409, UNPARSED.format(reason=shape.problem))
|
||
shapes.append(shape)
|
||
snaps.append(snap)
|
||
|
||
def nid(i: int) -> str:
|
||
return "fetch" if len(shapes) == 1 else f"fetch_{i + 1}"
|
||
|
||
nodes: list[dict[str, Any]] = []
|
||
fields: list[dict[str, Any]] = []
|
||
metrics: list[dict[str, Any]] = []
|
||
multi = False
|
||
for i, (shape, snap) in enumerate(zip(shapes, snaps)):
|
||
params = varying([shape.literals, *peer_literals.get((shape.source, shape.text), [])])
|
||
template, new_fields = template_of(shape, params, kinds.get(shape.source), start=len(fields) + 1)
|
||
fields += new_fields
|
||
nodes.append({"id": nid(i), "type": "tool", "position": {"x": 0, "y": 0},
|
||
"data": {"label": f"取数 {i + 1}" if len(shapes) > 1 else "取数",
|
||
"config": {"tool": f"{QUERY_PREFIX}{shape.source}", "args": {"sql": template}}}})
|
||
rows = snap.get("rows") if isinstance(snap.get("rows"), list) else []
|
||
columns = [str(c) for c in snap.get("columns") or []]
|
||
if len(rows) == 1 and isinstance(rows[0], (list, tuple)):
|
||
for col, value in zip(columns, rows[0]):
|
||
if isinstance(value, (int, float)) and not isinstance(value, bool):
|
||
metrics.append({"id": f"m{len(metrics) + 1}", "name": col,
|
||
"expression": f"cell(nodes.{nid(i)}, 0, {col!r})"})
|
||
else:
|
||
multi = True
|
||
question = ((await _turns(session, [run])).get(run.id) or {}).get("question") or ""
|
||
reports = _reports(sealed)
|
||
report_cfg: dict[str, Any] = {}
|
||
if reports:
|
||
found = next((n for n in (run.graph or {}).get("nodes") or [] if n.get("id") == reports[0].node_id), None)
|
||
cfg = ((found or {}).get("data") or {}).get("config") or {}
|
||
report_cfg = {k: cfg[k] for k in ("provider", "model", "entities") if k in cfg}
|
||
report_cfg["instructions"] = REPORT_INSTRUCTIONS.format(question=question or "（问题）")
|
||
# 报告的核对规则一律按受管级别的要求写（engine/governance.REPORT_POLICY，和发布门禁同一份）：草稿要能按受管发布
|
||
report_cfg.update({key: value for key, value, _ in REPORT_POLICY})
|
||
contract: dict[str, Any] = {"report_from": "write"}
|
||
tail: list[dict[str, Any]] = []
|
||
if metrics:
|
||
tail.append({"id": "card", "type": "metrics", "position": {"x": 0, "y": 0},
|
||
"data": {"label": "口径卡", "config": {"caliber": (question or "口径")[:40], "caliber_version": "v1",
|
||
"metrics": metrics}}})
|
||
report_cfg["metrics_from"] = ["card"]
|
||
# 受管出具要写必需指标（不然「不予出具」这一档触发不了）：固化出的每个指标都是这个口径要给的数
|
||
contract.update({"metrics_from": "card", "required": [m["id"] for m in metrics]})
|
||
if multi or not metrics:
|
||
contract["cells"] = True
|
||
chain = [{"id": "start", "type": "input", "position": {"x": 0, "y": 0},
|
||
"data": {"label": "入口", "config": {"fields": fields}}},
|
||
*nodes, *tail,
|
||
{"id": "write", "type": "report", "position": {"x": 0, "y": 0},
|
||
"data": {"label": "报告", "config": report_cfg}},
|
||
{"id": "out", "type": "output", "position": {"x": 0, "y": 0},
|
||
"data": {"label": "出口", "config": {"fields": [{"name": "报告", "value": "{{ nodes.write.text }}"}],
|
||
"contract": contract}}}]
|
||
edges = [{"source": a["id"], "target": b["id"]} for a, b in zip(chain, chain[1:])]
|
||
graph = auto_layout(GraphSpec.model_validate({"nodes": chain, "edges": edges})).model_dump(mode="json")
|
||
|
||
info = (await _turns(session, [run])).get(run.id) or {}
|
||
sources = [{"run_id": run.id, "conversation_id": conversation_id or info.get("conversation_id"),
|
||
"turn_id": turn_id or info.get("turn_id"), "question": question}]
|
||
for peer, peer_info in (await _turns(session, readable)).items():
|
||
sources.append({"run_id": peer, "conversation_id": peer_info.get("conversation_id"),
|
||
"turn_id": peer_info.get("turn_id"), "question": peer_info.get("question") or ""})
|
||
workflow = Workflow(
|
||
name=(name or DRAFT_NAME.format(question=(question or run.workflow_name or "问数据")[:30]))[:200],
|
||
description=DRAFT_DESCRIPTION.format(n=len(shapes), p=len(fields)), graph=graph, tags=["certified"],
|
||
status="draft",
|
||
origin={"run_id": run.id, **({"conversation_id": sources[0]["conversation_id"]} if sources[0]["conversation_id"]
|
||
else {}), **({"turn_id": sources[0]["turn_id"]} if sources[0]["turn_id"] else {}),
|
||
"freeze": True, "sources": sources})
|
||
session.add(workflow)
|
||
await session.flush()
|
||
session.add(WorkflowVersion(workflow_id=workflow.id, version=1, graph=graph, graph_hash=graph_hash(graph),
|
||
note=f"从运行 {run.id} 固化"))
|
||
await session.commit()
|
||
return {"workflow_id": workflow.id, "name": workflow.name, "nodes": len(chain), "edges": len(edges),
|
||
"dropped_nodes": 0, "source_run": run.id, "frozen": True, "params": [f["name"] for f in fields],
|
||
"metrics": [m["id"] for m in metrics], "sources": sources}
|
||
|
||
|
||
# ==========================================================================
|
||
# 发布之后补比
|
||
# ==========================================================================
|
||
|
||
_background: set[asyncio.Task[Any]] = set()
|
||
|
||
|
||
def after_publish(workflow_id: str, origin: Any) -> int:
|
||
"""工作流发布了：从问数据固化来的（origin.sources），来源运行在后台按现在的口径补比一次（trigger=certified）。返回排上了
|
||
几个。不挡发布，失败只记日志（ledger/match 的 schedule 自己兜着）。"""
|
||
from app.ledger import match as ledger_match
|
||
|
||
sources = origin.get("sources") if isinstance(origin, dict) else None
|
||
count = 0
|
||
for src in sources or []:
|
||
if isinstance(src, dict) and src.get("run_id"):
|
||
try:
|
||
if ledger_match.schedule(str(src["run_id"]), trigger="certified"):
|
||
count += 1
|
||
except Exception: # noqa: BLE001 - 补比是辅助步骤
|
||
logger.exception("工作流 %s 发布后补比来源运行出错", workflow_id)
|
||
return count
|
||
|
||
|
||
__all__ = ["DISMISS_ACTION", "KINDS", "REPEAT_CONVERSATIONS", "REPEAT_RUNS", "CertifyRefused", "Shape", "after_publish",
|
||
"dismiss", "freeze", "item_id", "queue", "referenced_queries", "shape_of", "template_of", "varying"]
|