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2026Technology-Competition/tests/test_impact_rag_e2e.py
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"""Task 5D3 强端到端):服务层 RAG 接线验证。
真实驱动完整链路:上传 → 解压 → index_dir → retrieve → LLM promptRAG 注入),
不 mock 任何环节。验证上传即索引(D1)与 use_rag 默认关闭的向后兼容。
"""
from __future__ import annotations
import asyncio
import glob
import io
import zipfile
from pathlib import Path
import pytest
from genesis.impact.impact_agent import _RAG_CONTEXT_TITLE
from genesis.rag.embeddings import FakeEmbedder
from genesis.rag.impact_rag import ImpactRAG
from genesis.rag.store import RagStore
from genesis.server.service import GenesisService
from genesis.server.store import SessionStore
_REPO = Path(__file__).resolve().parents[1]
def _sample_req() -> bytes:
hits = glob.glob(str(_REPO / "sample" / "requirements_*.xlsx"))
assert hits, "sample 下未找到 requirements xlsx"
return Path(hits[0]).read_bytes()
def _sample_tpl() -> bytes:
hits = glob.glob(str(_REPO / "sample" / "template_*.docx"))
assert hits, "sample 下未找到 template docx"
return Path(hits[0]).read_bytes()
def _make_existing_zip() -> bytes:
"""构造含已知源码的既有系统 zipsrc/KnownOrder.java 含『订单创建调用 MyBatis』)。"""
buf = io.BytesIO()
with zipfile.ZipFile(buf, "w") as zf:
zf.writestr(
"src/KnownOrder.java",
"package demo;\n"
"public class KnownOrder {\n"
" // 订单创建调用 MyBatis\n"
" public void createOrder() { /* ... */ }\n}\n",
)
return buf.getvalue()
class FakeEngine:
"""异步确定性引擎:捕获 LLM 收到的 prompt。"""
def __init__(self) -> None:
self.captured: str | None = None
async def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
from types import SimpleNamespace
self.captured = prompt
return SimpleNamespace(
data={"title": variables.get("title", "x"), "blocks": []},
raw_text=prompt,
status="ok",
)
@pytest.fixture
def svc(tmp_path):
store = SessionStore(db_path=str(tmp_path / "s.db"))
rag = ImpactRAG(RagStore(str(tmp_path / "rag.db")), FakeEmbedder())
return GenesisService(
store=store,
data_root=str(tmp_path / "data"),
engine=FakeEngine(),
rag=rag,
use_rag=False, # 默认关闭,由 run_impact 显参开启
)
def test_rag_e2e_upload_then_impact_injects_source(tmp_path):
"""D3 强验证:上传源码被 RAG 检索并注入 LLM prompt。"""
store = SessionStore(db_path=str(tmp_path / "s.db"))
engine = FakeEngine()
rag = ImpactRAG(RagStore(str(tmp_path / "rag.db")), FakeEmbedder())
svc = GenesisService(
store=store,
data_root=str(tmp_path / "data"),
engine=engine,
rag=rag,
use_rag=False,
)
sid = svc.create_session("u1").session_id
svc.upload_file(sid, "requirements", "requirements_newdev.xlsx", _sample_req())
svc.upload_file(sid, "template", "template_design_ja.docx", _sample_tpl())
# 上传即索引(D1
svc.upload_file(sid, "existing_system", "existing.zip", _make_existing_zip())
# 上传后直接检索应命中非空
hits = rag.retrieve(sid, "订单创建", k=1)
assert hits, "上传即索引后应能检索到源码片段"
assert "KnownOrder" in hits[0]
svc.run_parse(sid)
svc.confirm_parse(sid)
assert svc.get_session(sid).status == "impact_running"
# 真实驱动 RAG 路径
rec = asyncio.run(svc.run_impact(sid, use_rag=True))
assert rec.status == "awaiting_impact_confirm"
# 核心断言:RAG 检索片段(含 KnownOrder)注入 LLM prompt
assert engine.captured is not None
assert "KnownOrder" in engine.captured
# 摘要标记 rag_enabled
import json
assert json.loads(rec.impact_summary).get("rag_enabled") is True
def test_rag_e2e_use_rag_false_backward_compat(tmp_path):
"""向后兼容:rag=None 且 use_rag 默认关闭时,不调用 LLM、无 RAG 小节。"""
store = SessionStore(db_path=str(tmp_path / "s.db"))
engine = FakeEngine()
svc = GenesisService(
store=store,
data_root=str(tmp_path / "data"),
engine=engine,
rag=None, # 不启用 RAG
use_rag=False,
)
sid = svc.create_session("u1").session_id
svc.upload_file(sid, "requirements", "requirements_newdev.xlsx", _sample_req())
svc.upload_file(sid, "template", "template_design_ja.docx", _sample_tpl())
svc.upload_file(sid, "existing_system", "existing.zip", _make_existing_zip())
svc.run_parse(sid)
svc.confirm_parse(sid)
rec = asyncio.run(svc.run_impact(sid)) # 默认 use_rag=None → 走确定性路径
assert rec.status == "awaiting_impact_confirm"
# 向后兼容:确定性路径不调用 LLM(captured 保持 None),prompt 不含 RAG 小节
assert engine.captured is None
assert _RAG_CONTEXT_TITLE not in (engine.captured or "")
# 确定性报告存在
assert rec.impact_report_path and Path(rec.impact_report_path).exists()