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静态解析 conftest.py 链：渲染四级作用域（function/class/module/package/session）的 fixture 依赖图，检测更深层 conftest 覆盖关系；标记 mock.patch().start() 无 .stop() 泄漏、monkeypatch 在宽作用域 fixture 中的静默泄漏（函数级 teardown 永不执行）以及 with mock.patch 跨 yield 长期生效等跨测试状态污染。
用三种语言从你的代码中调用此工具。
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'http://127.0.0.1:3003/api/upload/presign/pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector' \
-H 'Content-Type: application/json' \
-d '{"filename":"pythonFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'http://127.0.0.1:3003/zh/api/tools/pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector' \
-F 'sourceInput=# --- file: conftest.py ---
import pytest
from unittest import mock
@pytest.fixture(scope="session")
def db_engine():
engine = {"url": "sqlite://"}
yield engine
engine.clear()
@pytest.fixture(scope="session")
def patched_auth():
patcher = mock.patch("auth.verify_token", return_value=True)
patcher.start()
return None
@pytest.fixture
def api_client(db_engine, patched_auth):
return {"db": db_engine}
# --- file: tests/unit/conftest.py ---
import pytest
@pytest.fixture(scope="module")
def fake_auth(monkeypatch):
monkeypatch.setattr("auth.verify_token", lambda t: True)
return True
@pytest.fixture
def api_client(fake_auth):
return {"override": True}' \
-F 'pythonFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'includeBuiltinGraph=true'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST http://127.0.0.1:3003/zh/api/tools/pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| sourceInput | textarea | 是 | — |
| pythonFile | file需先上传 | 否 | — |
| includeBuiltinGraph | checkbox | 否 | — |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector": {
"name": "pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector",
"description": "静态解析 conftest.py 链：渲染四级作用域（function/class/module/package/session）的 fixture 依赖图，检测更深层 conftest 覆盖关系；标记 mock.patch().start() 无 .stop() 泄漏、monkeypatch 在宽作用域 fixture 中的静默泄漏（函数级 teardown 永不执行）以及 with mock.patch 跨 yield 长期生效等跨测试状态污染。",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "pytest-conftest-fixture-dependency-graph-and-mock-patch-leak-detector",
"arguments": {
"sourceInput": "# --- file: conftest.py ---\nimport pytest\nfrom unittest import mock\n\[email protected](scope=\"session\")\ndef db_engine():\n engine = {\"url\": \"sqlite://\"}\n yield engine\n engine.clear()\n\[email protected](scope=\"session\")\ndef patched_auth():\n patcher = mock.patch(\"auth.verify_token\", return_value=True)\n patcher.start()\n return None\n\[email protected]\ndef api_client(db_engine, patched_auth):\n return {\"db\": db_engine}\n\n# --- file: tests/unit/conftest.py ---\nimport pytest\n\[email protected](scope=\"module\")\ndef fake_auth(monkeypatch):\n monkeypatch.setattr(\"auth.verify_token\", lambda t: True)\n return True\n\[email protected]\ndef api_client(fake_auth):\n return {\"override\": True}",
"pythonFile": "https://example.com/file.ext",
"includeBuiltinGraph": true
}
}
}有问题或反馈？请联系 [email protected]