Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问clear审计未展示

pytestpytest 测试

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

324

周安装

13

GitHub Stars

公开资料未说明

下载量

105
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pytest(pytest 测试)
来源仓库:https://github.com/slanycukr/riot-api-project
仓库路径:skills/pytest
安装命令:
npx skills add slanycukr/riot-api-project --skill "pytest"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add slanycukr/riot-api-project --skill "pytest"

简介

pytest 用于辅助 API 设计、接口文档和请求响应结构说明,适合梳理 endpoint 和生成 OpenAPI 草稿。

  • 适用于研究检索类任务,可检查字段命名、整理错误码或辅助前后端联调。
  • 通过 github 安装,命令为 npx skills add slanycukr/riot-api-project --skill "pytest"。
  • 使用时需确认业务语义、鉴权方式,避免凭空补字段,最好从现有代码中提取事实。
  • pytest 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
pytest
description
Python testing framework for writing simple, scalable, and powerful tests
when_to_use
When you need to write, run, or organize Python tests with fixtures, parametrization, or async testing

Pytest Testing Framework

Pytest is a mature Python testing framework that makes it easy to write small tests while scaling to support complex functional testing.

Quick Start

Basic Test Structure

# test_example.py
def test_addition():
    assert 2 + 2 == 4

def test_string_operations():
    assert "hello".upper() == "HELLO"
    assert "world" in "hello world"

Running Tests

# Run all tests
pytest

# Run with verbose output
pytest -v

# Run specific test file
pytest test_example.py

# Run specific test function
pytest test_example.py::test_addition

Common Patterns

Fixtures

Basic fixture definition:

import pytest

@pytest.fixture
def sample_data():
    return {"name": "Alice", "age": 30}

def test_user_data(sample_data):
    assert sample_data["name"] == "Alice"
    assert sample_data["age"] == 30

Fixture with setup and teardown:

@pytest.fixture
def database_connection():
    # Setup
    conn = create_database_connection()
    yield conn
    # Teardown
    conn.close()

def test_database_query(database_connection):
    result = database_connection.query("SELECT * FROM users")
    assert len(result) > 0

Fixture scopes:

@pytest.fixture(scope="function")  # Default - created per test
def temp_file():
    pass

@pytest.fixture(scope="module")    # Created once per module
def module_resource():
    pass

@pytest.fixture(scope="session")   # Created once per test session
def session_resource():
    pass

Parametrization

Basic parametrization:

@pytest.mark.parametrize("input,expected", [
    ("3+5", 8),
    ("2+4", 6),
    ("6*9", 54),
])
def test_eval(input, expected):
    assert eval(input) == expected

Parametrized fixtures:

@pytest.fixture(params=["mysql", "postgresql", "sqlite"])
def database(request):
    if request.param == "mysql":
        return MySQLConnection()
    elif request.param == "postgresql":
        return PostgreSQLConnection()
    else:
        return SQLiteConnection()

def test_database_operations(database):
    # Test runs 3 times, once for each database type
    result = database.execute("SELECT 1")
    assert result == 1

Stacking parametrization for combinatorial testing:

@pytest.mark.parametrize("x", [0, 1])
@pytest.mark.parametrize("y", [2, 3])
def test_combinations(x, y):
    # Runs 4 times: (0,2), (0,3), (1,2), (1,3)
    assert x + y > 1

Async Testing

Basic async test:

import pytest

@pytest.mark.asyncio
async def test_async_function():
    result = await async_operation()
    assert result is not None

Async fixtures:

@pytest.fixture
async def async_client():
    client = AsyncClient()
    await client.connect()
    yield client
    await client.disconnect()

@pytest.mark.asyncio
async def test_async_api(async_client):
    response = await async_client.get("/api/data")
    assert response.status_code == 200

Test Organization

Using conftest.py for shared fixtures:

# conftest.py
@pytest.fixture
def authenticated_client():
    client = create_test_client()
    client.login("testuser", "password")
    return client

@pytest.fixture(scope="session")
def test_database():
    db = create_test_database()
    yield db
    db.cleanup()

Test classes:

class TestUserAPI:
    def test_create_user(self, authenticated_client):
        response = authenticated_client.post("/users", json={"name": "John"})
        assert response.status_code == 201

    def test_get_user(self, authenticated_client):
        user_id = create_test_user()
        response = authenticated_client.get(f"/users/{user_id}")
        assert response.status_code == 200

Mocking and Patching

Using monkeypatch fixture:

def test_environment_variable(monkeypatch):
    monkeypatch.setenv("API_KEY", "test-key")
    assert get_api_key() == "test-key"

def test_file_operations(monkeypatch, tmp_path):
    test_file = tmp_path / "test.txt"
    test_file.write_text("test content")

    monkeypatch.setattr("module.FILE_PATH", str(test_file))
    assert read_file_content() == "test content"

Markers and Selection

Custom markers:

# pytest.ini
[tool:pytest]
markers =
    slow: marks tests as slow
    integration: marks tests as integration tests
    unit: marks tests as unit tests

# test_file.py
@pytest.mark.slow
def test_expensive_operation():
    pass

@pytest.mark.integration
def test_database_integration():
    pass

Running tests by marker:

# Run only unit tests
pytest -m unit

# Skip slow tests
pytest -m "not slow"

# Run integration or unit tests
pytest -m "integration or unit"

Practical Code Snippets

API Testing

import pytest
from fastapi.testclient import TestClient
from myapp import app

@pytest.fixture
def client():
    return TestClient(app)

@pytest.fixture
def test_user():
    return {"username": "testuser", "email": "test@example.com"}

def test_create_user(client, test_user):
    response = client.post("/users/", json=test_user)
    assert response.status_code == 201
    assert response.json()["username"] == test_user["username"]

def test_get_user(client, test_user):
    # Create user first
    create_response = client.post("/users/", json=test_user)
    user_id = create_response.json()["id"]

    # Get user
    response = client.get(f"/users/{user_id}")
    assert response.status_code == 200
    assert response.json()["email"] == test_user["email"]

Database Testing

import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

@pytest.fixture(scope="function")
def test_db():
    engine = create_engine("sqlite:///:memory:")
    Session = sessionmaker(bind=engine)
    Base.metadata.create_all(engine)
    session = Session()
    yield session
    session.close()

def test_user_creation(test_db):
    user = User(name="John", email="john@example.com")
    test_db.add(user)
    test_db.commit()

    retrieved_user = test_db.query(User).filter_by(name="John").first()
    assert retrieved_user.email == "john@example.com"

Error Handling Testing

def test_invalid_input_raises_error():
    with pytest.raises(ValueError, match="Invalid input"):
        process_input("invalid")

def test_file_not_found():
    with pytest.raises(FileNotFoundError):
        read_nonexistent_file()

def test_custom_exception():
    with pytest.raises(CustomAPIError) as exc_info:
        call_api_endpoint()
    assert exc_info.value.status_code == 404
    assert "not found" in str(exc_info.value)

Requirements

  • Python 3.7+
  • pytest (pip install pytest)
  • For async testing: pytest-asyncio (pip install pytest-asyncio)
  • For API testing: web framework test client (e.g., pip install httpx for async HTTP tests)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

27.01%
按下载量换算28

windsurf

23.85%
按下载量换算25

trae

20.31%
按下载量换算21

OpenCode

12.79%
按下载量换算13

Codex

9.14%
按下载量换算10

Antigravity

3.97%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills