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A pytest plugin for data-driven testing with YAML/JSON external data files

Project description

pytest-datadriver

一个 pytest 插件,支持通过 YAML/JSON 外部数据文件实现数据驱动测试。

特性

  • 多格式支持:YAML 和 JSON 外部数据文件,可扩展架构
  • 零侵入:无需修改现有测试代码,通过 CLI 参数可选激活
  • 参数自动提取:基于 AST 静态分析,从现有测试代码提取 parametrize 参数并导出
  • 双模式覆盖:智能覆盖(按 case_no 匹配)和完全替换模式
  • 两种数据布局:case-first 和 function-first
  • fixture 支持:自动识别 fixture 参数与 parametrize 参数

安装

pip install pytest-datadriver

或从源码安装:

git clone <repo-url>
cd cib-pytest-datadriver
pip install -e .

快速开始

1. 在测试代码中添加标记

import pytest

@pytest.mark.caseNo("TC-001")
@pytest.mark.caseName("加法测试")
@pytest.mark.parametrize("a,b,expected", [
    (1, 2, 3),
    (5, 10, 15),
])
def test_addition(a, b, expected):
    assert a + b == expected

2. 提取参数到数据文件

pytest --data-extract --data-output TestData/data.yaml --test-path tests/

3. 使用数据文件运行测试

# 智能覆盖(默认):按 case_no 匹配覆盖参数
pytest tests/ --data-file TestData/data.yaml --data-mode smart

# 完全替换:只执行文件中的用例
pytest tests/ --data-file TestData/data.yaml --data-mode replace

CLI 参数

参数 说明 可选值 默认值
--data-file 数据文件路径 - 自动查找 TestData/data.yaml
--data-mode 覆盖模式 smart, replace smart
--data-layout 数据布局 case, func case
--data-format 数据格式 yaml, json, auto auto
--data-extract 触发提取模式 - -
--data-output 提取输出路径 - TestData/data.yaml
--data-export-format 导出详情级别 simple, full simple
--data-export-filter 导出过滤 all, case-only all
--data-module-match 模块匹配策略 fullpath, filename fullpath
--test-path 提取扫描目录 - tests/

数据文件格式

case-first 布局(默认)

TC-001:
  case_name: "加法测试"
  module: "tests/test_math.py"
  function: "test_addition"
  params:
    a: 1
    b: 2
    expected: 3

function-first 布局

"tests/test_math.py::test_addition":
  - case_no: "TC-001"
    case_name: "加法测试"
    params:
      a: 1
      b: 2
      expected: 3

依赖

  • Python >= 3.9
  • pytest >= 7.0
  • pyyaml >= 6.0

打包与发布

本地打包

# 安装构建工具
pip install build twine

# 构建分发包(sdist + wheel)
python -m build

# 构建产物位于 dist/ 目录:
# dist/pytest_datadriver-0.1.0.tar.gz
# dist/pytest_datadriver-0.1.0-py3-none-any.whl

上传到 PyPI

# 上传到 PyPI(需先配置 ~/.pypirc 或使用 Token)
twine upload dist/*

# 上传到 Test PyPI(预发布验证)
twine upload --repository testpypi dist/*

上传到私有制品库

# 上传到私有 PyPI 仓库(需在 ~/.pypirc 中配置仓库地址)
twine upload --repository <your-repo-name> dist/*

# 示例:上传到腾讯云软件源
twine upload --repository-url https://mirrors.tencent.com/repository/pypi/tencent_pypi/simple dist/*

从制品库安装

# 从 PyPI 安装
pip install pytest-datadriver

# 从私有制品库安装
pip install pytest-datadriver -i https://mirrors.tencent.com/repository/pypi/tencent_pypi/simple --trusted-host mirrors.tencent.com

~/.pypirc 配置示例

[distutils]
index-servers =
    pypi
    tencent

[pypi]
username = __token__
password = pypi-xxxxxxxxxxxx

[tencent]
repository = https://mirrors.tencent.com/repository/pypi/tencent_pypi/simple
username = <your-username>
password = <your-password>

许可证

MIT

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