091b66a9bb
将角色与 Skill 从 .claude 迁入 .agent，移除 Claude CLI 运行时并接入固定 Opus 角色 profile、完整 schema、预算 deadline、raw 与回执证据链。 同步拆分 Skill 职责、复利 lesson、Gate 回放、Dashboard 人审入口、数据库登记和机械门禁；候选设计正文不包含在本提交中。
151 lines
7.4 KiB
Python
151 lines
7.4 KiB
Python
#!/usr/bin/env python3
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"""真写一章 · 阶段二a 补建：第 1 章的开篇上下文与冻结记录。
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原则：不存在没有上下文的写作。第 1 章之前也有设定、大纲、细纲——它的上下文是
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asOf=0（开篇前冻结线）：证据只有设定包与细纲宣告的新事实，历史正文基线为空。
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此前第 1 章按"基线章无上下文"的旧口径写成，看板运行详情因此缺一块上下文冻结；
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本脚本按合同补建真实的第 1 章上下文并落冻结行（append-only，幂等），补齐记账。
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只组装 + 落冻结，不改写第 1 章正文（正文早已接受为正式内容）。
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"""
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import json
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import sys
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import uuid
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from datetime import datetime, timezone
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from pathlib import Path
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SCRIPT_DIR = Path(__file__).resolve().parent
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AGENT_ROOT = SCRIPT_DIR.parents[1]
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SKILLS = AGENT_ROOT / ".agent" / "skills"
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for sub in (
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"assemble-context/scripts",
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"write-next-chapter/scripts",
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"record-run-evidence/scripts",
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"prevent-ai-flavor/scripts",
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):
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p = str(SKILLS / sub)
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if p not in sys.path:
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sys.path.insert(0, p)
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from muse_db import connect, DSN # noqa: E402
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from assemble_writer_context import assemble_context # noqa: E402
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from prevent_ai_flavor import ( # noqa: E402
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PreventionContractError, build_prevention_contract, persist_prevention, render_writer_constraints,
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)
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from retrieve_writer_sources import ( # noqa: E402
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ProductionCardIndexRepository, FrozenProseRepository,
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build_retrieval_plan, retrieve_writer_sources,
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)
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from persist_context_freeze import persist_freeze # noqa: E402
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from run_writer import calculate_dynamic_output_contract # noqa: E402
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WORK_ID = 12
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TARGET_CHAPTER = 1
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AS_OF = 0
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SETTING_SOURCE_REF = {"sourceId": "planning-section:3", "sourceVersion": "v1"}
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OUTLINE_SOURCE_REF = {"sourceId": "fine-outline:work12-ch1", "sourceVersion": "v1"}
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def main():
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run_id = f"retrofit-work12-ch1-context-{uuid.uuid4().hex[:8]}"
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generated_at = datetime.now(timezone.utc).isoformat()
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with connect(readonly=True) as conn:
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setting_row = conn.execute(
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"SELECT payload FROM example_planning_section WHERE id=3 AND work_id=%s "
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"AND section_type='setting' AND state='confirmed' AND deleted=false",
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(WORK_ID,)).fetchone()
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outline_row = conn.execute(
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"SELECT payload FROM example_planning_section WHERE work_id=%s AND "
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"section_type='fine_outline' AND target_chapter=1 AND state='confirmed' AND "
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"deleted=false ORDER BY version DESC LIMIT 1", (WORK_ID,)).fetchone()
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if not setting_row or not outline_row:
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raise SystemExit("设定包或第1章细纲缺失，无法补建上下文。")
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setting = setting_row[0] if isinstance(setting_row[0], dict) else json.loads(setting_row[0])
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fine_outline = outline_row[0] if isinstance(outline_row[0], dict) else json.loads(outline_row[0])
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# 第1章细纲的 declaredNewFacts 是旧形状（纯字符串）；合同要 {factId,text,sourceRef}。
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# 不重写已确认规划行，在读取侧按合同投影。
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normalized_declared = []
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for index, fact in enumerate(fine_outline.get("declaredNewFacts", []), 1):
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if isinstance(fact, dict):
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normalized_declared.append(fact)
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else:
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normalized_declared.append({
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"factId": f"fine-outline-ch1:{index}", "text": str(fact),
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"sourceRef": OUTLINE_SOURCE_REF,
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})
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fine_outline = {**fine_outline, "declaredNewFacts": normalized_declared}
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# 权威事实证据：设定包（正式设定）+ 细纲宣告的新事实
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authoritative_facts = []
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for key, label in (("world", "世界观"), ("power_system", "力量体系"),
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("core_premise", "核心设定")):
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if setting.get(key):
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authoritative_facts.append({
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"factId": f"setting:{key}", "fact": f"{label}：{setting[key]}",
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"sourceType": "formal_setting", "sourceRef": SETTING_SOURCE_REF,
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"riskLevel": "low",
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})
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for index, fact in enumerate(fine_outline.get("declaredNewFacts", []), 1):
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text = fact["text"] if isinstance(fact, dict) else str(fact)
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authoritative_facts.append({
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"factId": f"fine-outline-ch1:{index}", "fact": text,
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"sourceType": "fine_outline_declared_new", "sourceRef": OUTLINE_SOURCE_REF,
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"riskLevel": "low",
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})
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# 检索计划与执行（asOf=0；新书无卡，卡线诚实返空；事实线取权威事实）
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token_budget = {"maxContextChars": 200000}
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plan = build_retrieval_plan(
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run_id=run_id, work_id=WORK_ID, target_chapter=TARGET_CHAPTER, as_of=AS_OF,
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fine_outline=fine_outline, card_index_version="knowledge-index-v1",
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prose_index_version="content-block-v1", token_budget=token_budget)
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retrieval = retrieve_writer_sources(
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plan=plan, card_repository=ProductionCardIndexRepository(),
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prose_repository=FrozenProseRepository(dsn=DSN, tenant_id=0),
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authoritative_facts=authoritative_facts)
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print(f"检索: 卡={len(retrieval['cards'])} 事实={len(retrieval['factEvidence'])} "
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f"原文={len(retrieval['proseEvidence'])}（asOf=0，历史正文必为空）")
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# 组装第 1 章上下文（asOf=0，无历史正文基线）并落冻结
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output_contract = calculate_dynamic_output_contract(
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fine_outline=fine_outline, recent_chapter_bodies=[])
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narrative_state = {
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"time": "故事开篇之前",
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"location": "深渊星域",
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"characterPositions": {},
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"immediateSituation": "一切尚未发生；按设定与第1章细纲展开。",
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}
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authorization_snapshot = {"snapshotId": "auth-work12-production-v1",
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"allowedPurpose": "production_generation",
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"verifiedAt": generated_at, "sourceVersion": "v1"}
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try:
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humanization_contract = build_prevention_contract(f"work:{WORK_ID}", load_database=True)
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humanization_contract["writer_constraints"] = render_writer_constraints(humanization_contract)
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persist_prevention(humanization_contract)
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except PreventionContractError as exc:
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raise SystemExit(f"人感前置预防合同失败：{exc}") from exc
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assembled = assemble_context(
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run_id=run_id, attempt=1, mode="production", purpose="production",
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quality_policy_version="writer-production-v1", work_id=WORK_ID,
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target_chapter=TARGET_CHAPTER, as_of=AS_OF, source_version="outline@v1",
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authorization_snapshot=authorization_snapshot, source_status="active",
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retrieval_plan=plan, retrieval_result=retrieval, fine_outline=fine_outline,
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narrative_state=narrative_state, recent_chapters=[],
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output_contract=output_contract, token_budget=token_budget,
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pattern_references=[], humanization_contract=humanization_contract, generated_at=generated_at,
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evidence_strategy="production_dual_evidence")
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(SCRIPT_DIR / "artifacts").mkdir(exist_ok=True)
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(SCRIPT_DIR / "artifacts" / f"{run_id}-writer-context.json").write_text(
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assembled["contextJson"], encoding="utf-8")
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frozen = persist_freeze(assembled)
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print(f"第1章上下文冻结: {json.dumps(frozen, ensure_ascii=False)}")
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print(f"事实证据 {len(assembled['context']['factEvidence'])} 条，"
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f"正文证据 {len(assembled['context']['proseEvidence'])} 条（应为 0）")
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print(f"RUN_ID={run_id}")
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if __name__ == "__main__":
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main()
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