b0bc7a8745
一、技能重组（动作-对象命名） - 旧目录 clean/confirm/continuation/db/detect/embed/… 重组为 clean-book-text/decide-candidate/write-next-chapter/access-database/ check-content-consistency/embed-knowledge/…（git 识别为 rename，内容保持） - agents/*.md、AGENTS.md/CLAUDE.md 收编、example_skill 登记表同步新名 二、先审后入创作闭环（本次核心） 正文接受从"机械门一过就写正典"改为"机械门+语义审查双通过+用户批准+单事务原子提交"， DB 级兜底，编排层跳步即被硬拒。 - candidate_cas.py + example_candidate_cas(109)：持久化 CAS 状态链 - fact_delta.py + example_fact_delta/example_fact_ledger(106)：结构化事实增量， 模型只提六型闭集增量+正文证据引文，仅用户批准的增量随正文同事务入账本 - projection_registry.py + example_projection_run(107)：投影登记与恢复 - acceptance_state.py：接受前置实时状态重读 - lesson_registry.py + example_lesson(108)：经验升格链，禁止自动升格 - DDL 105：example_candidate 增 semantic_status/semantic_report_sha256 - write_canonical.accept：语义兜底+同事务合并增量+登记投影； run_writer_pipeline/persist_writer_run/run_writer_semantic_detector/step2 接入全链 - claude_runtime：兼容新 CLI modelUsage 信息字段 三、审查修复（独立子代理四维审查后） - 事实增量 propose→approve 翻态正道，不撞唯一键 - 冻结配置探针重刷（CLI 2.1.211→2.1.231 漂移），profileSha256/adapterVersion 再登记 - 可视化合同悬空路径/五六空间矛盾、 SoT 旧技能名漂移、行尾空白清理 测试：离线 65 套 + 真实库集成 5 套（CAS/接受故障注入/事实增量/投影/经验升格）+ 回放 79 项全绿。 创作内容（docs/design、生成正文 artifacts）按"框架与创作分开"未入本提交。
450 lines
21 KiB
Python
450 lines
21 KiB
Python
#!/usr/bin/env python3
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"""从已接受章节抽取作品知识草稿。
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本入口只负责“正文 -> draft/shadow”这一段，不自动确认知识；确认由
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decide-candidate 单独触发。模型调用经 call-content-model，所有输入输出挂到本次 run_id。
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"""
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import hashlib
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import json
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import pathlib
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import sys
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from typing import Any
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import click
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import psycopg
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from psycopg.types.json import Jsonb
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HERE = pathlib.Path(__file__).resolve().parent
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SKILLS = HERE.parents[1]
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for import_path in (
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SKILLS / "call-content-model" / "scripts",
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SKILLS / "record-run-evidence" / "scripts",
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):
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if str(import_path) not in sys.path:
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sys.path.insert(0, str(import_path))
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from llm import chat_governed, cost_usd, extract_json # noqa: E402
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from record_failed_run import record_failure # noqa: E402
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from run_registry import finish_run, new_run_id, start_run # noqa: E402
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DB_SCRIPTS = SKILLS / "access-database" / "scripts"
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if str(DB_SCRIPTS) not in sys.path:
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sys.path.insert(0, str(DB_SCRIPTS))
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from db import connect # noqa: E402
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TENANT, ACTOR = 1, "1"
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MODEL = "MiniMax-M3"
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ENTITY_TYPES = frozenset({
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"character", "location", "faction", "power_system", "item", "event",
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})
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TYPE_ALIASES = {
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"人物": "character", "地点": "location", "组织": "faction", "势力": "faction",
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"能力体系": "power_system", "力量体系": "power_system", "物件": "item", "事件": "event",
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}
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class ExtractionContractError(ValueError):
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"""模型输出无法绑定到正文事实时失败关闭。"""
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PROMPT = """你是长篇小说章后知识抽取员。只从给定的已接受正文抽取作品私有知识草稿。
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不要确认知识，不要补写正文没有的事实；低置信内容仍保留但在 brief/fields 中标注“?”。
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实体类型只能使用：character、location、faction、power_system、item、event。
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立卡门槛：具名且有跨章复用或后续履约潜力；一次性龙套和一次性道具不要列实体。
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证据必须是正文中的逐字连续片段，不能改写。
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只输出一个 JSON 对象，严格使用以下 ASCII 字段，不要 markdown：
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{{
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"entities": [{{"type":"character", "name":"", "brief":"", "fields": {{}}, "evidence":"正文逐字片段"}}],
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"relations": [{{"source":"实体名", "target":"实体名", "type":"关系类型", "description":"", "evidence":"正文逐字片段"}}],
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"state": {{"currentSituation":"", "characterStates": {{}}, "foreshadowing": {{"埋":[],"推":[],"收":[]}}, "handoff":""}}
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}}
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作品：《{title}》
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章节：第 {chapter_order} 章《{chapter_title}》
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已有确认实体名（只用于判重，不得把没有正文证据的内容写进本章）：{existing_names}
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【正文】
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{body}
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"""
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def _first(item: dict[str, Any], *keys, default=None):
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for key in keys:
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if key in item:
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return item[key]
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return default
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def _text(value, field):
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if not isinstance(value, str) or not value.strip():
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raise ExtractionContractError(f"{field} 必须是非空字符串")
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return value.strip()
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def _hash_payload(value: Any) -> str:
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return hashlib.sha256(
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json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":")).encode("utf-8")
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).hexdigest()
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def _merge_usage(total, current):
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"""只累加顶层数值 token，保留嵌套明细的简单形状。"""
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for key, value in (current or {}).items():
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if isinstance(value, (int, float)):
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total[key] = total.get(key, 0) + value
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def normalize_extraction(raw: Any, body: str) -> dict[str, Any]:
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"""把模型输出归一化并机械绑定到本章正文。"""
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if not isinstance(raw, dict):
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raise ExtractionContractError("抽取输出必须是对象")
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entities = raw.get("entities") or raw.get("实体") or []
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relations = raw.get("relations") or raw.get("关系") or []
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state = raw.get("state") or raw.get("状态") or {}
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if not isinstance(entities, list) or not isinstance(relations, list) or not isinstance(state, dict):
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raise ExtractionContractError("entities/relations/state 类型非法")
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normalized_entities = []
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names = set()
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for index, item in enumerate(entities):
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if not isinstance(item, dict):
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raise ExtractionContractError(f"entities[{index}] 必须是对象")
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entity_type = _text(_first(item, "type", "型"), f"entities[{index}].type")
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entity_type = TYPE_ALIASES.get(entity_type, entity_type)
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if entity_type not in ENTITY_TYPES:
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raise ExtractionContractError(f"entities[{index}].type 非法: {entity_type}")
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name = _text(_first(item, "name", "名称"), f"entities[{index}].name")
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brief = _text(_first(item, "brief", "一句话摘要", default="?"), f"entities[{index}].brief")
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evidence = _text(_first(item, "evidence", "证据"), f"entities[{index}].evidence")
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if evidence not in body:
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raise ExtractionContractError(f"entities[{index}] 证据不在正文中")
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key = (entity_type, name.casefold())
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if key in names:
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raise ExtractionContractError(f"实体重复: {entity_type}/{name}")
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names.add(key)
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fields = _first(item, "fields", "字段", default={})
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if not isinstance(fields, dict):
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raise ExtractionContractError(f"entities[{index}].fields 必须是对象")
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normalized_entities.append({
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"type": entity_type,
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"name": name,
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"brief": brief,
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"fields": fields,
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"evidence": evidence,
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})
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normalized_relations = []
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for index, item in enumerate(relations):
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if not isinstance(item, dict):
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raise ExtractionContractError(f"relations[{index}] 必须是对象")
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source = _text(_first(item, "source", "甲方"), f"relations[{index}].source")
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target = _text(_first(item, "target", "乙方"), f"relations[{index}].target")
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relation_type = _text(_first(item, "type", "关系类型"), f"relations[{index}].type")
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description = _text(_first(item, "description", "描述", default="?"), f"relations[{index}].description")
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evidence = _text(_first(item, "evidence", "证据"), f"relations[{index}].evidence")
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if evidence not in body:
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raise ExtractionContractError(f"relations[{index}] 证据不在正文中")
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normalized_relations.append({
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"source": source, "target": target, "type": relation_type,
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"description": description, "evidence": evidence,
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})
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return {
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"entities": normalized_entities,
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"relations": normalized_relations,
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"state": state,
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}
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def salvage_extraction(raw: Any, body: str) -> dict[str, Any]:
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"""删除无法绑定的模型条目，再复用同一严格归一器。
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这是保守收口，不替模型编造证据：实体名本身若逐字出现在正文，可作为最小证据；
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关系缺证据则直接丢弃。丢弃数量写入 payload，供质量结果和看板解释。
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"""
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if not isinstance(raw, dict):
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raise ExtractionContractError("无法从非对象输出做保守收口")
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candidate = dict(raw)
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entity_key = "entities" if "entities" in candidate else "实体"
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relation_key = "relations" if "relations" in candidate else "关系"
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kept_entities, dropped_entities = [], 0
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for item in candidate.get(entity_key) or []:
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if not isinstance(item, dict):
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dropped_entities += 1
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continue
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name = _first(item, "name", "名称")
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evidence = _first(item, "evidence", "证据")
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if isinstance(evidence, str) and evidence in body:
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kept_entities.append(item)
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elif isinstance(name, str) and name.strip() and name.strip() in body:
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fixed = dict(item)
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fixed["evidence"] = name.strip()
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kept_entities.append(fixed)
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else:
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dropped_entities += 1
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kept_relations, dropped_relations = [], 0
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for item in candidate.get(relation_key) or []:
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if not isinstance(item, dict) or not isinstance(_first(item, "evidence", "证据"), str) \
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or _first(item, "evidence", "证据") not in body:
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dropped_relations += 1
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continue
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kept_relations.append(item)
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candidate[entity_key] = kept_entities
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candidate[relation_key] = kept_relations
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normalized = normalize_extraction(candidate, body)
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normalized["mechanicalDrops"] = {
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"entities": dropped_entities,
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"relations": dropped_relations,
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}
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return normalized
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def _load_chapter(work_id, chapter_order):
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with connect(readonly=True) as conn:
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row = conn.execute(
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"SELECT w.title,c.id,c.title,b.id,b.content_text "
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"FROM muse_content_work w JOIN muse_content_chapter c ON c.work_id=w.id "
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"JOIN muse_content_block b ON b.chapter_id=c.id AND b.deleted=false "
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"WHERE w.id=%s AND c.order_no=%s AND w.deleted=false AND c.deleted=false "
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"ORDER BY b.revision DESC LIMIT 1",
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(work_id, chapter_order),
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).fetchone()
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if not row:
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raise ValueError(f"作品 {work_id} 第 {chapter_order} 章没有可用 Canonical 正文")
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existing = [r[0] for r in conn.execute(
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"SELECT normalized_name FROM muse_knowledge_entity WHERE tenant_id=%s AND work_id=%s "
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"AND deleted=false ORDER BY id", (TENANT, work_id)
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).fetchall()]
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return row, existing
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def _insert_draft(conn, *, work_id, chapter_id, chapter_order, run_id, entity, index):
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payload = {
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"type": entity["type"],
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"name": entity["name"],
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"brief": entity["brief"],
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"fields": entity["fields"],
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"evidence": entity["evidence"],
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"source": {"workId": work_id, "chapter": chapter_order, "chapterId": chapter_id},
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"extractRunId": run_id,
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}
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command_id = f"extract-{work_id}-ch{chapter_order}-entity-{index}-{_hash_payload(payload)[:12]}"
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normalized_name = entity["name"].strip().casefold()
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current = conn.execute(
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"SELECT id,description,attributes,revision FROM muse_knowledge_entity "
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"WHERE tenant_id=%s AND work_id=%s AND entity_type=%s AND normalized_name=%s "
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"AND scope='local' AND deleted=false FOR SHARE",
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(TENANT, work_id, entity["type"], normalized_name),
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).fetchone()
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existing_id = current[0] if current else None
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snapshot = None if not current else {
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"id": current[0], "description": current[1], "attributes": current[2], "revision": current[3]
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}
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row = conn.execute(
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"INSERT INTO muse_knowledge_draft(work_id,entity_id,draft_type,target_object_id,proposed_changes,"
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"current_canonical_snapshot,draft_payload,source_status,source_action_policy,status,confidence,"
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"source_type,source_id,command_id,creator,updater,tenant_id) "
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"VALUES (%s,%s,'entity',%s,%s::jsonb,%s::jsonb,%s::jsonb,'active','allowed','pending',%s,"
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"'chapter_extract',%s,%s,%s,%s,%s) "
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"ON CONFLICT (tenant_id,command_id) WHERE command_id IS NOT NULL DO NOTHING RETURNING id",
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(
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work_id, existing_id, existing_id,
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json.dumps({"description": entity["brief"], "attributes": entity["fields"]}, ensure_ascii=False),
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json.dumps(snapshot, ensure_ascii=False) if snapshot else None,
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json.dumps(payload, ensure_ascii=False),
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0.8, chapter_id, command_id, ACTOR, ACTOR, TENANT,
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),
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).fetchone()
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return row[0] if row else None
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def persist_extraction(work_id, chapter_id, chapter_order, run_id, payload, *, requested_model, actual_model, usage):
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"""一次事务写实体/关系草稿、状态 shadow、运行回执和质量结果。"""
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result_sha = _hash_payload(payload)
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with connect() as conn:
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try:
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draft_ids = []
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for index, entity in enumerate(payload["entities"], start=1):
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draft_id = _insert_draft(
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conn, work_id=work_id, chapter_id=chapter_id, chapter_order=chapter_order,
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run_id=run_id, entity=entity, index=index,
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)
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if draft_id:
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draft_ids.append(draft_id)
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for index, relation in enumerate(payload["relations"], start=1):
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relation_payload = {
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**relation,
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"source": {"name": relation["source"]},
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"target": {"name": relation["target"]},
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"sourceRef": {"workId": work_id, "chapter": chapter_order, "chapterId": chapter_id},
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"extractRunId": run_id,
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}
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command_id = f"extract-{work_id}-ch{chapter_order}-relation-{index}-{_hash_payload(relation_payload)[:12]}"
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row = conn.execute(
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"INSERT INTO muse_knowledge_draft(work_id,draft_type,draft_payload,source_status,"
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"source_action_policy,status,confidence,source_type,source_id,command_id,creator,updater,tenant_id) "
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"VALUES (%s,'relation',%s::jsonb,'active','allowed','pending',%s,'chapter_extract',%s,%s,%s,%s,%s) "
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"ON CONFLICT (tenant_id,command_id) WHERE command_id IS NOT NULL DO NOTHING RETURNING id",
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(work_id, json.dumps(relation_payload, ensure_ascii=False), 0.7, chapter_id,
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command_id, ACTOR, ACTOR, TENANT),
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).fetchone()
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if row:
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draft_ids.append(row[0])
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state = payload.get("state") or {}
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state_payload = {
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"schemaVersion": "narrative-state-v1",
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"workId": work_id,
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"chapter": chapter_order,
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"state": state,
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"source": {"chapterId": chapter_id, "runId": run_id},
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}
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state_id = None
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if state:
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version = conn.execute(
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"SELECT COALESCE(MAX(version),0)+1 FROM example_planning_section "
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"WHERE tenant_id=%s AND work_id=%s AND section_type='state' AND target_chapter IS NULL",
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(TENANT, work_id),
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).fetchone()[0]
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state_id = conn.execute(
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"INSERT INTO example_planning_section(work_id,section_type,schema_type,version,payload,state,creator,updater,tenant_id) "
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"VALUES (%s,'state','narrative_state',%s,%s::jsonb,'shadow',%s,%s,%s) RETURNING id",
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(work_id, version, json.dumps(state_payload, ensure_ascii=False), ACTOR, ACTOR, TENANT),
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).fetchone()[0]
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raw_id = conn.execute(
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"SELECT raw_content_id FROM example_llm_call WHERE run_id=%s AND caller='extract-knowledge' "
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"ORDER BY id DESC LIMIT 1", (run_id,)
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).fetchone()
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raw_content_id = raw_id[0] if raw_id else None
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receipt_id = conn.execute(
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"INSERT INTO example_run_receipt(run_id,sample_id,revision,adapter_role,stage_kind,attempt,"
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"requested_model_id,actual_model_id,model_match,total_cost_usd,usage,stop_reason,terminal_reason,"
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"is_error,safe_summary,result_sha256,raw_content_id,creator,tenant_id) "
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"VALUES (%s,%s,1,'extractor','generation',1,%s,%s,%s,%s,%s::jsonb,'stop','completed',FALSE,%s::jsonb,%s,%s,%s,%s) "
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"ON CONFLICT (tenant_id,run_id,sample_id,revision) DO NOTHING RETURNING id",
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(
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run_id, f"extract-ch{chapter_order}", requested_model, actual_model,
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requested_model == actual_model, cost_usd(actual_model, usage),
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json.dumps(usage, ensure_ascii=False),
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json.dumps({"entityDrafts": len(draft_ids), "stateDraftId": state_id,
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"mechanicalDrops": payload.get("mechanicalDrops", {})}, ensure_ascii=False),
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result_sha, raw_content_id, ACTOR, TENANT,
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),
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).fetchone()
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receipt_id = receipt_id[0] if receipt_id else None
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if receipt_id is None:
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receipt_id = conn.execute(
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"SELECT id FROM example_run_receipt WHERE tenant_id=%s AND run_id=%s AND sample_id=%s AND revision=1",
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(TENANT, run_id, f"extract-ch{chapter_order}"),
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).fetchone()[0]
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conn.execute(
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"INSERT INTO example_quality_result(run_id,receipt_id,judge_kind,scale_version,conclusion,detail,raw_content_id,creator,tenant_id) "
|
||
"VALUES (%s,%s,'detection','extractor-contract-v1','pass',%s::jsonb,%s,%s,%s) "
|
||
"ON CONFLICT (tenant_id,run_id,judge_kind,COALESCE(dimension,''),COALESCE(candidate_sha256,'')) DO NOTHING",
|
||
(run_id, receipt_id, json.dumps({"entityDrafts": len(draft_ids), "relationDrafts": len(payload["relations"]),
|
||
"stateDraftId": state_id,
|
||
"mechanicalDrops": payload.get("mechanicalDrops", {})}, ensure_ascii=False),
|
||
raw_content_id, ACTOR, TENANT),
|
||
)
|
||
conn.commit()
|
||
return {"draft_ids": draft_ids, "state_draft_id": state_id, "receipt_id": receipt_id,
|
||
"result_sha256": result_sha}
|
||
except Exception:
|
||
conn.rollback()
|
||
raise
|
||
|
||
|
||
def extract_chapter(work_id, chapter_order, *, run_id=None):
|
||
record = start_run(
|
||
run_id=run_id or new_run_id("extract-knowledge", work_id=work_id, target_chapter=chapter_order),
|
||
work_id=work_id,
|
||
target_chapter=chapter_order,
|
||
trigger_detail={"stage": "chapter-after-extraction"},
|
||
creator=ACTOR,
|
||
)
|
||
active_run = record["run_id"]
|
||
try:
|
||
(title, chapter_id, chapter_title, _block_id, body), existing = _load_chapter(work_id, chapter_order)
|
||
prompt = PROMPT.format(
|
||
title=title,
|
||
chapter_order=chapter_order,
|
||
chapter_title=chapter_title or "",
|
||
existing_names="、".join(existing[:200]) or "（暂无）",
|
||
body=body,
|
||
)
|
||
content, usage, actual_model = chat_governed(
|
||
prompt, model=MODEL, caller="extract-knowledge", run_id=active_run,
|
||
)
|
||
if actual_model is None:
|
||
raise RuntimeError("抽取模型治理链全部耗尽")
|
||
total_usage = dict(usage or {})
|
||
raw_output = extract_json(content)
|
||
try:
|
||
payload = normalize_extraction(raw_output, body)
|
||
except ExtractionContractError as first_error:
|
||
# 只允许模型按正文逐字重绑证据；不能借 repair 轮新增实体、关系或事实。
|
||
repair_prompt = (
|
||
prompt
|
||
+ "\n\n【机械校验失败，允许一次修复】\n"
|
||
+ f"失败原因：{first_error}\n"
|
||
+ "只修正证据字段，使每条 evidence 都是上方正文中的逐字连续片段；"
|
||
"删除无法找到逐字证据的条目，不得新增条目、事实、关系或状态。仍只输出同一 JSON 对象。"
|
||
)
|
||
content, repair_usage, repair_model = chat_governed(
|
||
repair_prompt, model=MODEL, caller="extract-knowledge", run_id=active_run,
|
||
)
|
||
if repair_model is None:
|
||
raise
|
||
_merge_usage(total_usage, repair_usage)
|
||
repaired_raw = extract_json(content)
|
||
try:
|
||
payload = normalize_extraction(repaired_raw, body)
|
||
except ExtractionContractError:
|
||
payload = salvage_extraction(repaired_raw, body)
|
||
actual_model = repair_model
|
||
result = persist_extraction(
|
||
work_id, chapter_id, chapter_order, active_run, payload,
|
||
requested_model=MODEL, actual_model=actual_model, usage=total_usage,
|
||
)
|
||
finish_run(active_run, "completed", creator=ACTOR,
|
||
trigger_detail={"stage": "chapter-after-extraction", "drafts": len(result["draft_ids"])})
|
||
return {"run_id": active_run, **result, "actual_model": actual_model}
|
||
except BaseException as exc:
|
||
finish_run(active_run, "failed", creator=ACTOR,
|
||
trigger_detail={"stage": "chapter-after-extraction", "error_type": type(exc).__name__})
|
||
try:
|
||
record_failure(
|
||
active_run,
|
||
sample_id=f"extract-ch{chapter_order}",
|
||
adapter_role="extractor",
|
||
caller="extract-knowledge",
|
||
failure_type=type(exc).__name__,
|
||
)
|
||
except Exception as receipt_error:
|
||
click.echo(
|
||
f"[警告] 失败回执补写失败：{type(receipt_error).__name__}",
|
||
err=True,
|
||
)
|
||
raise
|
||
|
||
|
||
@click.command()
|
||
@click.option("--work-id", type=int, required=True)
|
||
@click.option("--chapter-order", type=int, required=True)
|
||
@click.option("--run-id", default=None)
|
||
def main(work_id, chapter_order, run_id):
|
||
try:
|
||
click.echo(json.dumps(extract_chapter(work_id, chapter_order, run_id=run_id), ensure_ascii=False))
|
||
except (ExtractionContractError, RuntimeError, psycopg.Error) as exc:
|
||
raise click.ClickException(str(exc)) from exc
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|