lhl
80ccc324fc
- models: CHAPTER_SHEET_TYPES/CHAPTER_IMPACT_ELEMENT 章节→数据映射（design §6.8 ①）
- models: _format_chapter_data 按章定向渲染 ExcelTable 为 Markdown；GENERIC 自由記述作通用背景
- models: _format_impact 支持按 ElementType 过滤（章节级影响上下文）
- writer_agent: {{source}}(全量repr) → {{data}}(章节数据)；新增【主题约束】
- writer_agent: 关键修复——真实 PromptRegistry.get 返回模板字符串，
引擎对 str 不做变量渲染，LLM 实际收到的是 {{占位符}} 原文；
_resolve_prompt 统一包装为 Prompt 对象保证渲染
- 真实试运行验证：13 章主题全部正确、引用影响调查数据、语言漂移消除
236 lines
8.6 KiB
Python
236 lines
8.6 KiB
Python
import pytest
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from types import SimpleNamespace
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from genesis.writer.writer_agent import (
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WriterAgent,
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WRITER_PROMPT_TEMPLATE,
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CHAPTER_OUTPUT_SCHEMA,
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)
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from genesis.writer.models import GenerationContext, ChapterSpec
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from genesis.writer.writer_state import WriterState
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from genesis.writer.exceptions import WriterGenerationError
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class FakeEngine:
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def __init__(self):
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self.calls = 0
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def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
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self.calls += 1
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return SimpleNamespace(
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data={"title": variables["title"], "blocks": [{"type": "paragraph", "text": "ok"}]},
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status="ok",
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)
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class FakePromptRegistry:
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@staticmethod
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def get_or_create(name, template):
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return SimpleNamespace(name=name, version="1", template=template)
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def _ctx(cid, title):
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return GenerationContext(
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chapter_id=cid,
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title=title,
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template_marker=ChapterSpec(chapter_id=cid, title=title, section_placeholder=None),
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structured_source="source text",
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write_rules=["W1"],
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design_rules=["D1"],
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template_styles={"Heading1"},
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prior_state=None,
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)
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def test_generate_chapter_success():
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agent = WriterAgent(
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session_id="s",
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engine=FakeEngine(),
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prompt_registry=FakePromptRegistry(),
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state=WriterState(["db_design"]),
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)
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content = agent.generate_chapter(_ctx("db_design", "DB 設計"))
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assert content.chapter_id == "db_design"
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assert content.blocks and content.blocks[0].type == "paragraph"
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def test_prompt_template_enforces_title_language():
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# 语言约束：正文需与章节标题语言一致（模板为日文时输出日文）
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assert "语言约束" in WRITER_PROMPT_TEMPLATE
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assert "{{title}}" in WRITER_PROMPT_TEMPLATE
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def test_prompt_template_has_impact_context_var():
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# 影响调查结果作为生成主上下文：模板必须包含 impact 变量（无影响书时渲染为空串）
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assert "影响调查上下文" in WRITER_PROMPT_TEMPLATE
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assert "{{impact}}" in WRITER_PROMPT_TEMPLATE
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def test_prompt_template_enforces_topic_and_chapter_data():
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# 主题约束：正文必须围绕本章标题主题，依据章节数据，禁止套用系统整体架构
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assert "主题约束" in WRITER_PROMPT_TEMPLATE
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assert "参考资料（本章对应数据）" in WRITER_PROMPT_TEMPLATE
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assert "{{data}}" in WRITER_PROMPT_TEMPLATE
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# 旧的全量 source 变量不再使用
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assert "{{source}}" not in WRITER_PROMPT_TEMPLATE
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class RecordingEngine(FakeEngine):
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"""记录 variables 以断言 prompt 渲染输入。"""
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def __init__(self):
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super().__init__()
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self.last_vars = None
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def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
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self.last_vars = dict(variables)
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return super().chat_structured(
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session_id=session_id, prompt=prompt,
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variables=variables, schema=schema, retry_count=retry_count,
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)
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class RealStylePromptRegistry:
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"""模拟真实 PromptRegistry：无 get_or_create，get() 返回模板字符串（非 Prompt）。"""
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def __init__(self):
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self._tpl = {}
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def register(self, name, version, template):
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self._tpl[(name, version)] = template
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def get(self, name, version=None):
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return self._tpl[(name, version)]
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class RenderingEngine:
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"""模拟真实引擎渲染行为：仅当收到 Prompt 对象时才用 jinja2 渲染（engine._render_prompt 契约）。"""
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def __init__(self):
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self.last_rendered = None
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def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
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from jinja2 import Template
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from genesis.inference.types import Prompt as P
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tpl = prompt.template if isinstance(prompt, P) else prompt # str 原样返回 → 不渲染
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self.last_rendered = Template(tpl).render(**variables) if isinstance(prompt, P) else tpl
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return SimpleNamespace(
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data={"title": variables["title"], "blocks": [{"type": "paragraph", "text": "ok"}]},
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status="ok",
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)
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def test_prompt_is_rendered_with_real_style_registry():
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"""回归：真实 PromptRegistry.get 返回模板字符串 → 引擎按 str 原样发送，
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{{data}}/{{title}} 等占位符从未被替换（真实试运行暴露）。
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WriterAgent 必须保证交给引擎的是可渲染的 Prompt 对象。"""
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agent = WriterAgent(
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session_id="s",
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engine=RenderingEngine(),
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prompt_registry=RealStylePromptRegistry(),
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state=WriterState(["db_design"]),
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)
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ctx = _ctx("db_design", "DB 設計")
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agent.generate_chapter(ctx)
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assert "{{" not in agent.engine.last_rendered # 无残留占位符
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assert "DB 設計" in agent.engine.last_rendered # title 已渲染
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assert "W1" in agent.engine.last_rendered # write_rules 已渲染
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def test_generate_chapter_passes_chapter_scoped_data_var():
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from genesis.data_models import (
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CellValue, ExcelTable, ParsedTemplate, ChapterMarker,
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Provenance, SheetType, StructuredSource,
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)
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def cell(v):
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return CellValue(value=v, provenance=Provenance("f.xlsx", "s", 1, "A", "列"))
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src = StructuredSource(
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tables=[
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ExcelTable("DB定義", SheetType.DATABASE, "openpyxl",
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["テーブルID", "テーブル名"],
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[{"テーブルID": cell("T001"), "テーブル名": cell("trade_order")}]),
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ExcelTable("機能一覧", SheetType.FUNCTION, "openpyxl",
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["機能ID", "機能名"],
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[{"機能ID": cell("F001"), "機能名": cell("止损风控")}]),
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],
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template=ParsedTemplate("t.docx",
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[ChapterMarker(type="heading", name="x", level=1)],
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{}, {"used": []}),
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rule_docs=[], image_analyses=[], existing_system=None, comments=[],
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)
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ctx = GenerationContext(
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chapter_id="db_design", title="DB 設計",
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template_marker=ChapterSpec(chapter_id="db_design", title="DB 設計", section_placeholder=None),
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structured_source=src, write_rules=["W1"], design_rules=["D1"],
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template_styles={"Heading1"},
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)
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engine = RecordingEngine()
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agent = WriterAgent(session_id="s", engine=engine,
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prompt_registry=FakePromptRegistry(),
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state=WriterState(["db_design"]))
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agent.generate_chapter(ctx)
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data = engine.last_vars["data"]
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assert "T001" in data and "trade_order" in data # 本章对应数据
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assert "止损风控" not in data # 其他章数据被排除
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def test_generate_chapter_retries():
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class Boom(FakeEngine):
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def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
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raise RuntimeError("boom")
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agent = WriterAgent(
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session_id="s",
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engine=Boom(),
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prompt_registry=FakePromptRegistry(),
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state=WriterState(["db_design"]),
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max_retries=2,
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)
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with pytest.raises(WriterGenerationError):
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agent.generate_chapter(_ctx("db_design", "DB 設計"))
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class AsyncFakeEngine:
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async def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
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return SimpleNamespace(
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data={"title": variables["title"], "blocks": [{"type": "paragraph", "text": "ok"}]},
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status="ok",
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)
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def test_generate_chapter_with_async_engine():
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agent = WriterAgent(
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session_id="s",
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engine=AsyncFakeEngine(),
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prompt_registry=FakePromptRegistry(),
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state=WriterState(["db_design"]),
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)
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content = agent.generate_chapter(_ctx("db_design", "DB 設計"))
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assert content.chapter_id == "db_design"
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assert content.blocks and content.blocks[0].type == "paragraph"
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def test_generate_chapter_propagates_engine_error_detail():
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class FailingEngine:
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def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
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return SimpleNamespace(
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data={},
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status="failed",
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error="LLM HTTP 401: invalid key",
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error_code="LLM_NETWORK_ERROR",
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)
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agent = WriterAgent(
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session_id="s",
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engine=FailingEngine(),
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prompt_registry=FakePromptRegistry(),
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state=WriterState(["db_design"]),
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max_retries=1,
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)
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with pytest.raises(WriterGenerationError) as exc:
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agent.generate_chapter(_ctx("db_design", "DB 設計"))
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assert "LLM HTTP 401" in str(exc.value)
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assert "LLM_NETWORK_ERROR" in str(exc.value)
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