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Agent Skill · 待分类

pytest-application-layer-testing(pytest 应用层测试)

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

pytest-application-layer-testing 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 10,789。

总安装 190周安装 8GitHub Stars 1下载 67核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

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请帮我安装这个 Agent Skill:pytest-application-layer-testing(pytest 应用层测试)
来源仓库:https://github.com/dawiddutoit/custom-claude
仓库路径:skills/pytest-application-layer-testing
安装命令:
npx skills add https://github.com/dawiddutoit/custom-claude --skill pytest-application-layer-testing
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

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skills.shnpx skills
npx skills add https://github.com/dawiddutoit/custom-claude --skill pytest-application-layer-testing

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流,适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令或分析数据处理逻辑。适用于待分类场景,支持应用层测试相关功能。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认项目虚拟环境、依赖版本和测试入口。

涉及执行脚本、读写文件或访问数据库时,应先明确运行目录和输入输出范围,避免误改生产数据。可结合原始 README 进一步核验具体用法和功能边界。

来源仓库内路径:skills/pytest-application-layer-testing

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dawiddutoit/custom-claude --skill pytest-appli…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

pytest-application-layer-testing 怎么安装?

在终端执行 npx skills add https://github.com/dawiddutoit/custom-claude --skill pytest-application-lay…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pytest-application-layer-testing 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

pytest-application-layer-testing 需要什么权限?

权限级别是需要联网。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。

pytest-application-layer-testing 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

pytest-application-layer-testing 用的人多吗?

公开数据是累计安装 190 次,近一周安装 8 次,下载 67 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

pytest-application-layer-testing 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
pytest-application-layer-testing

pytest 应用层测试 · 本页

1901需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Pytest Application Layer Testing

Purpose

The application layer orchestrates domain logic with external dependencies. Tests verify that use cases correctly coordinate business logic and integration boundaries.

When to Use This Skill

Use when testing use cases and application services with "test use case", "mock gateways", "test orchestration", or "test DTOs".

Do NOT use for domain testing (use pytest-domain-model-testing), adapter testing (use pytest-adapter-integration-testing), or pytest configuration (use pytest-configuration).

Quick Start

Test use cases with mocked gateways:

from unittest.mock import AsyncMock
import pytest

@pytest.mark.asyncio
async def test_extract_orders_use_case(
    mock_shopify_gateway: AsyncMock,
    mock_event_publisher: AsyncMock,
) -> None:
    """Test use case orchestration."""
    use_case = ExtractOrdersUseCase(
        gateway=mock_shopify_gateway,
        publisher=mock_event_publisher,
    )

    # Mock external dependencies
    async def fake_orders():
        yield create_test_order(order_id="1")
        yield create_test_order(order_id="2")

    mock_shopify_gateway.fetch_orders.return_value = fake_orders()

    # Execute
    result = await use_case.execute()

    # Verify behavior
    assert result.orders_count == 2
    mock_shopify_gateway.fetch_orders.assert_awaited_once()
    assert mock_event_publisher.publish_order.call_count == 2

Instructions

Step 1: Structure Use Case Tests with Mocked Dependencies

from __future__ import annotations

from typing import Any
from unittest.mock import AsyncMock, create_autospec
import pytest

from app.extraction.application.use_cases import ExtractOrdersUseCase
from app.extraction.application.ports import ShopifyPort, PublisherPort
from app.extraction.application.dtos import ExtractOrdersRequest, ExtractOrdersResponse

# Fixtures for mocked dependencies
@pytest.fixture
def mock_shopify_gateway() -> AsyncMock:
    """Mock Shopify gateway."""
    mock = create_autospec(ShopifyPort, instance=True)

    async def fake_orders():
        yield create_test_order(order_id="1")
        yield create_test_order(order_id="2")

    mock.fetch_orders.return_value = fake_orders()
    return mock

@pytest.fixture
def mock_event_publisher() -> AsyncMock:
    """Mock Kafka publisher."""
    mock = create_autospec(PublisherPort, instance=True)
    mock.publish_order.return_value = None
    mock.close.return_value = None
    return mock

class TestExtractOrdersUseCase:
    """Test extraction use case."""

    @pytest.mark.asyncio
    async def test_execute_success(
        self,
        mock_shopify_gateway: AsyncMock,
        mock_event_publisher: AsyncMock,
    ) -> None:
        """Test successful extraction."""
        # Arrange
        use_case = ExtractOrdersUseCase(
            gateway=mock_shopify_gateway,
            publisher=mock_event_publisher,
        )

        # Act
        result = await use_case.execute()

        # Assert
        assert result.total_extracted == 2
        assert result.total_published == 2
        assert result.total_errors == 0
        mock_shopify_gateway.fetch_orders.assert_awaited_once()
        assert mock_event_publisher.publish_order.call_count == 2
        mock_event_publisher.close.assert_called_once()

Step 2: Test Error Handling and Recovery

@pytest.mark.asyncio
async def test_use_case_with_error_recovery(
    mock_shopify_gateway: AsyncMock,
    mock_event_publisher: AsyncMock,
) -> None:
    """Test use case handles and recovers from errors."""
    # Arrange
    async def fake_orders_with_errors():
        yield create_test_order(order_id="1")
        raise RuntimeError("Temporary API error")

    mock_shopify_gateway.fetch_orders.return_value = fake_orders_with_errors()

    use_case = ExtractOrdersUseCase(
        gateway=mock_shopify_gateway,
        publisher=mock_event_publisher,
        max_errors=5,
    )

    # Act
    result = await use_case.execute()

    # Assert: Extracted some, had 1 error
    assert result.total_extracted == 1
    assert result.total_published == 1
    assert result.total_errors == 1

@pytest.mark.asyncio
async def test_use_case_aborts_after_max_errors(
    mock_shopify_gateway: AsyncMock,
    mock_event_publisher: AsyncMock,
) -> None:
    """Test use case aborts when errors exceed threshold."""
    from app.extraction.application.exceptions import ExtractionException

    # Arrange
    mock_event_publisher.publish_order.side_effect = RuntimeError("Kafka down")

    async def fake_orders():
        for i in range(20):
            yield create_test_order(order_id=str(i))

    mock_shopify_gateway.fetch_orders.return_value = fake_orders()

    use_case = ExtractOrdersUseCase(
        gateway=mock_shopify_gateway,
        publisher=mock_event_publisher,
        max_errors=10,
    )

    # Act & Assert
    with pytest.raises(ExtractionException, match="Too many errors"):
        await use_case.execute()

    # Verify cleanup
    mock_event_publisher.close.assert_called()

Step 3: Test DTO Creation and Validation

from __future__ import annotations

from pydantic import ValidationError
import pytest

from app.extraction.application.dtos import ExtractOrdersRequest
from app.reporting.adapters.api.dtos import ProductRankingDTO

class TestExtractOrdersRequestDTO:
    """Test DTO for use case input."""

    def test_valid_creation(self) -> None:
        """Test DTO creation with valid data."""
        from datetime import datetime

        request = ExtractOrdersRequest(
            start_date=datetime(2024, 1, 1),
            end_date=datetime(2024, 12, 31),
        )

        assert request.start_date.year == 2024
        assert request.end_date.month == 12

    def test_validation_end_before_start_fails(self) -> None:
        """Test DTO validation fails when dates are invalid."""
        from datetime import datetime

        with pytest.raises(ValidationError, match="end_date must be after start_date"):
            ExtractOrdersRequest(
                start_date=datetime(2024, 12, 31),
                end_date=datetime(2024, 1, 1),  # Before start!
            )

    def test_serialization_to_dict(self) -> None:
        """Test DTO serializes to dict correctly."""
        from datetime import datetime

        request = ExtractOrdersRequest(
            start_date=datetime(2024, 1, 1),
            end_date=datetime(2024, 12, 31),
        )

        data = request.model_dump()

        assert "start_date" in data
        assert "end_date" in data

class TestProductRankingDTO:
    """Test DTO for API response."""

    def test_valid_creation(self) -> None:
        """Test DTO with valid data."""
        dto = ProductRankingDTO(
            title="Laptop",
            cnt_bought=100,
        )

        assert dto.title == "Laptop"
        assert dto.cnt_bought == 100

    def test_validation_negative_count_fails(self) -> None:
        """Test DTO validates cnt_bought is non-negative."""
        with pytest.raises(ValidationError):
            ProductRankingDTO(
                title="Laptop",
                cnt_bought=-5,  # Invalid!
            )

    def test_serialization_to_json(self) -> None:
        """Test DTO serializes to JSON."""
        dto = ProductRankingDTO(title="Laptop", cnt_bought=100)
        json_data = dto.model_dump_json()

        assert "Laptop" in json_data
        assert "100" in json_data

Step 4: Test Use Case Interactions with Multiple Dependencies

@pytest.mark.asyncio
async def test_use_case_coordinates_multiple_services(
    mock_gateway: AsyncMock,
    mock_publisher: AsyncMock,
    mock_logger: AsyncMock,
) -> None:
    """Test use case coordinates multiple dependencies correctly."""
    use_case = ExtractOrdersUseCase(
        gateway=mock_gateway,
        publisher=mock_publisher,
        logger=mock_logger,
    )

    result = await use_case.execute()

    # Verify correct orchestration order:
    # 1. Fetch from gateway
    assert mock_gateway.fetch_orders.await_count >= 1
    # 2. Publish to publisher
    assert mock_publisher.publish_order.call_count >= 1
    # 3. Log operation
    assert mock_logger.info.call_count >= 1

Step 5: Test Exception Handling at Application Layer

@pytest.mark.asyncio
async def test_application_exception_on_gateway_failure(
    mock_shopify_gateway: AsyncMock,
    mock_event_publisher: AsyncMock,
) -> None:
    """Test application wraps infrastructure errors."""
    from app.extraction.adapters.shopify import ShopifyApiException
    from app.extraction.application.exceptions import ExtractionApplicationException

    # Arrange: Gateway raises infrastructure error
    mock_shopify_gateway.fetch_orders.side_effect = ShopifyApiException("API down")

    use_case = ExtractOrdersUseCase(
        gateway=mock_shopify_gateway,
        publisher=mock_event_publisher,
    )

    # Act & Assert: Use case wraps in application exception
    with pytest.raises(ExtractionApplicationException, match="Failed to fetch"):
        await use_case.execute()

@pytest.mark.asyncio
async def test_domain_exception_propagates(
    mock_shopify_gateway: AsyncMock,
    mock_event_publisher: AsyncMock,
) -> None:
    """Test domain exceptions bubble up unchanged."""
    from app.extraction.domain.exceptions import InvalidOrderException

    # Arrange: Mocked gateway returns invalid order
    async def fake_invalid_order():
        # This would raise InvalidOrderException during processing
        raise InvalidOrderException("Order missing line items")

    mock_shopify_gateway.fetch_orders.return_value = fake_invalid_order()

    use_case = ExtractOrdersUseCase(
        gateway=mock_shopify_gateway,
        publisher=mock_event_publisher,
    )

    # Act & Assert: Domain exception propagates
    with pytest.raises(InvalidOrderException):
        await use_case.execute()

Step 6: Test Use Case with Dependency Injection Verification

@pytest.mark.asyncio
async def test_use_case_requires_dependencies(self) -> None:
    """Test use case cannot be created without dependencies."""
    # Missing gateway
    with pytest.raises(TypeError):
        ExtractOrdersUseCase(publisher=mock_publisher)

    # Missing publisher
    with pytest.raises(TypeError):
        ExtractOrdersUseCase(gateway=mock_gateway)

    # Both provided - OK
    use_case = ExtractOrdersUseCase(
        gateway=mock_gateway,
        publisher=mock_publisher,
    )
    assert use_case is not None

Step 7: Test Use Case Response Objects

from __future__ import annotations

import pytest
from app.extraction.application.dtos import ExtractOrdersResponse

class TestExtractOrdersResponse:
    """Test use case response DTO."""

    def test_response_creation(self) -> None:
        """Test response DTO creation."""
        response = ExtractOrdersResponse(
            total_extracted=100,
            total_published=98,
            total_errors=2,
        )

        assert response.total_extracted == 100
        assert response.total_published == 98
        assert response.total_errors == 2

    def test_response_success_property(self) -> None:
        """Test response has success indicator."""
        success_response = ExtractOrdersResponse(
            total_extracted=100,
            total_published=100,
            total_errors=0,
        )

        assert success_response.is_success() is True

        partial_response = ExtractOrdersResponse(
            total_extracted=100,
            total_published=95,
            total_errors=5,
        )

        assert partial_response.is_success() is False

    def test_response_summary(self) -> None:
        """Test response provides summary."""
        response = ExtractOrdersResponse(
            total_extracted=100,
            total_published=98,
            total_errors=2,
        )

        summary = response.summary()
        assert "100" in summary
        assert "98" in summary
        assert "2" in summary

Examples

Example 1: Complete Use Case Test

class TestQueryTopProductsUseCase:
    """Test reporting use case."""

    @pytest.fixture
    def mock_query_gateway(self) -> AsyncMock:
        """Mock ClickHouse gateway."""
        mock = create_autospec(QueryPort, instance=True)
        mock.query_top_products.return_value = [
            ProductRanking(title="Laptop", rank=Rank(1), cnt_bought=100),
            ProductRanking(title="Mouse", rank=Rank(2), cnt_bought=50),
        ]
        return mock

    @pytest.mark.asyncio
    async def test_query_success(
        self,
        mock_query_gateway: AsyncMock,
    ) -> None:
        """Test successful query."""
        use_case = QueryTopProductsUseCase(gateway=mock_query_gateway)

        result = await use_case.execute(limit=10)

        assert len(result) == 2
        assert result[0].title == "Laptop"
        assert result[0].rank.value == 1
        mock_query_gateway.query_top_products.assert_called_once_with(limit=10)

    @pytest.mark.asyncio
    async def test_query_data_not_available(
        self,
        mock_query_gateway: AsyncMock,
    ) -> None:
        """Test when ClickHouse has no data."""
        from app.reporting.application.exceptions import DataNotAvailableException

        mock_query_gateway.query_top_products.side_effect = DataNotAvailableException(
            "Table not initialized"
        )

        use_case = QueryTopProductsUseCase(gateway=mock_query_gateway)

        with pytest.raises(DataNotAvailableException):
            await use_case.execute(limit=10)

Example 2: Testing Use Case with State Changes

@pytest.mark.asyncio
async def test_use_case_state_transitions(
    mock_gateway: AsyncMock,
) -> None:
    """Test use case correctly transitions through states."""
    use_case = StatefulUseCase(gateway=mock_gateway)

    # Initial state
    assert use_case.state == "IDLE"

    # After calling
    await use_case.execute()

    # Final state
    assert use_case.state == "COMPLETED"

Requirements

  • Python 3.11+
  • pytest >= 7.0
  • pytest-asyncio >= 0.20.0
  • pydantic >= 2.0 (for DTOs)
  • unittest.mock (standard library)

See Also

平台分布

Codex

37.27%
按下载量换算25

Claude

31.09%
按下载量换算21

Cursor

19.04%
按下载量换算13

Gemini CLI

10.5%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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