- 门控:用户提供 existing_system 路径 → 进入影响调查;未提供 → 原流程不变
- CodeParser 解析 Java(@RestController/@Service/@Entity/@TableName)+ ExistingSystemExplorer 组装
- ImpactAgent 变更点定位(变更区分×既存対応 确定性比对,无 LLM)→ ImpactReport(JSON 可下载)
- 影响调查结果作为 Writer 生成概要设计书的主上下文({{impact}},无专用影响章)
- source_aggregator 解除 existing_system=None 硬编码
- 既有系统样本 sunOnly/stock-trade-system(无 LICENSE,仅测试输入,保留来源标注)
- 新造股票交易域追加改修样本 要件定義_追加改修_股票.xlsx(对齐 sunOnly 真实类名)
- 全量 351 passed / 99.27% 覆盖;门禁 PASS(16 要素:新规5/変更8/削除3/未受影响50)
126 lines
4.0 KiB
Python
126 lines
4.0 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_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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