c777c89e4a
- 资料研究路由：scene-slices/search 检索与 reindex 构建端点 - 参考挑选反馈请求增语料类型（method/slice，缺省method存量兼容）；信号聚合与明细只计方法语料，片段挑选只落账留痕 - 选段改写页：语料源切换（方法卡/场景片段），片段卡显示书名+预览，挑选进 slice_references，落账按源分派 - 集成a10037：片段挑选HTTP落账不进方法信号轨；场景检索端点真实接缝
190 lines
7.4 KiB
Python
190 lines
7.4 KiB
Python
"""参考挑选反馈的真实 CLI/HTTP 接缝：落账、信号聚合读回；不经浏览器。"""
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import json
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import subprocess
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import sys
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import pytest
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import test_参考改写 as 改写测试
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from fastapi.testclient import TestClient
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from muse.接入.http.应用 import 创建应用
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from muse.资源加载 import 加载清单
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from muse.配置 import 读取配置
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pytestmark = pytest.mark.数据库
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生成环境 = 改写测试.生成环境
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参考环境 = 改写测试.参考环境
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片段环境 = 改写测试.片段环境
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def _配置(env, tmp_path):
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secret = tmp_path / "author-password"
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secret.write_text("synthetic-evaluation-only")
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secret.chmod(0o600)
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pool = env["库"]
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config = tmp_path / f"{pool.用途.value}.toml"
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config.write_text(
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'["数据库"]\n"取值方式"="受控存储"\n"位置"='
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+ json.dumps(pool.引用.位置)
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+ '\n["运行"]\n"用途"='
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+ json.dumps(pool.用途.value)
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+ '\n["资源"]\n"发布身份"="test"\n["HTTP"]\n"作者ID"="eval-author"'
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+ '\n"口令文件"='
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+ json.dumps(str(secret))
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+ '\n"公开地址"="http://testserver"\n"允许来源"=["http://testserver"]\n'
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)
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path = config
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path.write_text(
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path.read_text()
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.replace("eval-author", env["作者"].作者)
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.replace(
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'"发布身份"="test"',
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'"发布身份"=' + json.dumps(加载清单()["构建身份"]),
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)
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)
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return path
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def _cli(tmp_path, config, 动作, *args):
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response = subprocess.run(
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[sys.executable, "-I", "-m", "muse", "经验", str(config), 动作, *map(str, args)],
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cwd=tmp_path,
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capture_output=True,
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text=True,
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timeout=30,
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)
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assert response.returncode == 0, response.stderr
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return json.loads(response.stdout)
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@pytest.mark.case_id(
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"NC-w32-a10013",
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environment="隔离PG、实际CLI子进程与合成HTTP，不经浏览器",
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given="真实作者、已确认方法版本与检索回执形状的候选清单",
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when="经HTTP保存参考挑选反馈并按领域读回信号，再经CLI读同一信号",
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then=["反馈只追加落账；HTTP与CLI读回一致的选用/拒绝计数"],
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contract="docs/系统架构/新版设计/模块设计/B07-作者经验.md#偏好双轨关系",
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)
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def test_HTTP与CLI读回一致的挑选信号__a10013(参考环境, tmp_path):
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env = 参考环境
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config = _配置(env, tmp_path)
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版本 = env["参考版本"]
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body = {
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"command_id": "http-ref-sel-1",
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"selection": {
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"query": "机甲近身刀法",
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"domain": "combat",
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"work_id": "gen-work",
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"quote": "",
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"index_generation": 0,
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"种类": "参考挑选",
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"candidates": [{"method_version_id": 版本, "rank": 1, "score": 0.031}],
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"selected": [版本],
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"rejected": [],
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},
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}
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with TestClient(创建应用(读取配置(config)), headers={"Origin": "http://testserver"}) as client:
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assert (
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client.post(
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"/api/v1/session", json={"password": "synthetic-evaluation-only"}
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).status_code
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== 200
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)
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saved = client.post("/api/v1/reference-selections", json=body)
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assert saved.status_code == 201, saved.text
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assert saved.json()["payload"]["种类"] == "参考挑选"
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# 幂等重放：同命令同内容返回原记录
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replay = client.post("/api/v1/reference-selections", json=body)
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assert replay.status_code == 201
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assert replay.json()["feedback_id"] == saved.json()["feedback_id"]
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signals = client.get("/api/v1/reference-selection-signals", params={"domain": "combat"})
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assert signals.status_code == 200
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rows = {行["method_version_id"]: 行 for 行 in signals.json()}
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assert rows[版本]["选用次数"] == 1
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assert rows[版本]["拒绝次数"] == 0
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assert rows[版本]["选中位次"] == [1]
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cli = _cli(tmp_path, config, "挑选信号", "combat")
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assert {行["method_version_id"]: 行["选用次数"] for 行 in cli} == {版本: 1}
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@pytest.mark.case_id(
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"NC-w32-a10014",
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environment="隔离PG与合成HTTP，不经浏览器",
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given="选中与拒绝重叠的非法请求",
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when="经HTTP保存参考挑选反馈",
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then=["边界校验拒绝，不落账"],
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contract="docs/系统架构/新版设计/模块设计/B07-作者经验.md#偏好双轨关系",
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)
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def test_非法挑选请求在边界拒绝__a10014(参考环境, tmp_path):
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env = 参考环境
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config = _配置(env, tmp_path)
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版本 = env["参考版本"]
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body = {
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"command_id": "http-ref-sel-bad",
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"selection": {
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"query": "机甲近身刀法",
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"domain": "combat",
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"candidates": [{"method_version_id": 版本, "rank": 1, "score": 0.03}],
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"selected": [版本],
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"rejected": [版本],
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},
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}
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with TestClient(创建应用(读取配置(config)), headers={"Origin": "http://testserver"}) as client:
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assert (
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client.post(
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"/api/v1/session", json={"password": "synthetic-evaluation-only"}
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).status_code
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== 200
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)
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response = client.post("/api/v1/reference-selections", json=body)
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assert response.status_code >= 400
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signals = client.get("/api/v1/reference-selection-signals")
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assert all(行["method_version_id"] != 版本 for 行 in signals.json())
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@pytest.mark.case_id(
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"NC-w33-a10037",
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environment="隔离PG与合成HTTP，不经浏览器",
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given="已构建的场景切片索引与片段语料挑选",
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when="经HTTP落账片段挑选反馈再读方法信号",
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then=["片段挑选落账成功；不进入方法信号轨（语料类型过滤）"],
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contract="docs/系统架构/新版设计/模块设计/B07-作者经验.md#偏好双轨关系",
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)
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def test_片段语料挑选不进方法信号__a10037(片段环境, tmp_path):
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env = 片段环境
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config = _配置(env, tmp_path)
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片段 = env["片段"]
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body = {
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"command_id": "http-slice-sel-1",
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"selection": {
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"query": "刀锋划过装甲",
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"domain": "other",
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"work_id": "gen-work",
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"quote": "",
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"index_generation": 0,
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"语料类型": "slice",
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"种类": "参考挑选",
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"candidates": [{"method_version_id": 片段["slice_id"], "rank": 1, "score": 0.0}],
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"selected": [片段["slice_id"]],
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"rejected": [],
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},
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}
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with TestClient(创建应用(读取配置(config)), headers={"Origin": "http://testserver"}) as client:
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assert (
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client.post(
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"/api/v1/session", json={"password": "synthetic-evaluation-only"}
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).status_code
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== 200
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)
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saved = client.post("/api/v1/reference-selections", json=body)
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assert saved.status_code == 201, saved.text
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assert saved.json()["payload"]["语料类型"] == "slice"
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检索 = client.get("/api/v1/scene-slices/search", params={"q": "刀锋", "limit": 3})
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assert 检索.status_code == 200, 检索.text
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信号 = client.get("/api/v1/reference-selection-signals", params={"domain": ""})
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assert 信号.status_code == 200, 信号.text
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行集 = 信号.json()
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assert all(r["method_version_id"] != 片段["slice_id"] for r in 行集)
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