使用非 Python 測試

在 Yaml 檔案中指定測試的基本範例

這是一個 conftest.py 的範例 (從 Ali Afshar 的特殊用途 pytest-yamlwsgi 插件中提取)。這個 conftest.py 將收集 test*.yaml 檔案，並將執行 yaml 格式的內容作為自訂測試

# content of conftest.py
from __future__ import annotations

import pytest


def pytest_collect_file(parent, file_path):
    if file_path.suffix == ".yaml" and file_path.name.startswith("test"):
        return YamlFile.from_parent(parent, path=file_path)


class YamlFile(pytest.File):
    def collect(self):
        # We need a yaml parser, e.g. PyYAML.
        import yaml

        raw = yaml.safe_load(self.path.open(encoding="utf-8"))
        for name, spec in sorted(raw.items()):
            yield YamlItem.from_parent(self, name=name, spec=spec)


class YamlItem(pytest.Item):
    def __init__(self, *, spec, **kwargs):
        super().__init__(**kwargs)
        self.spec = spec

    def runtest(self):
        for name, value in sorted(self.spec.items()):
            # Some custom test execution (dumb example follows).
            if name != value:
                raise YamlException(self, name, value)

    def repr_failure(self, excinfo):
        """Called when self.runtest() raises an exception."""
        if isinstance(excinfo.value, YamlException):
            return "\n".join(
                [
                    "usecase execution failed",
                    "   spec failed: {1!r}: {2!r}".format(*excinfo.value.args),
                    "   no further details known at this point.",
                ]
            )
        return super().repr_failure(excinfo)

    def reportinfo(self):
        return self.path, 0, f"usecase: {self.name}"


class YamlException(Exception):
    """Custom exception for error reporting."""

您可以創建一個簡單的範例檔案

# test_simple.yaml
ok:
    sub1: sub1

hello:
    world: world
    some: other

如果您安裝了 PyYAML 或相容的 YAML 解析器，您現在可以執行測試規範

nonpython $ pytest test_simple.yaml
=========================== test session starts ============================
platform linux -- Python 3.x.y, pytest-8.x.y, pluggy-1.x.y
rootdir: /home/sweet/project/nonpython
collected 2 items

test_simple.yaml F.                                                  [100%]

================================= FAILURES =================================
______________________________ usecase: hello ______________________________
usecase execution failed
   spec failed: 'some': 'other'
   no further details known at this point.
========================= short test summary info ==========================
FAILED test_simple.yaml::hello
======================= 1 failed, 1 passed in 0.12s ========================

您會得到一個點表示通過 sub1: sub1 檢查，以及一個失敗。顯然，在上面的 conftest.py 中，您會希望實現對 yaml 值的更有趣的解釋。您可以通過這種方式輕鬆編寫您自己的領域特定測試語言。

注意

repr_failure(excinfo) 被調用以表示測試失敗。如果您創建自訂收集節點，您可以返回您選擇的錯誤表示字串。它將被報告為（紅色）字串。

reportinfo() 用於表示測試位置，並且在 verbose 模式下報告時也會被諮詢

nonpython $ pytest -v
=========================== test session starts ============================
platform linux -- Python 3.x.y, pytest-8.x.y, pluggy-1.x.y -- $PYTHON_PREFIX/bin/python
cachedir: .pytest_cache
rootdir: /home/sweet/project/nonpython
collecting ... collected 2 items

test_simple.yaml::hello FAILED                                       [ 50%]
test_simple.yaml::ok PASSED                                          [100%]

================================= FAILURES =================================
______________________________ usecase: hello ______________________________
usecase execution failed
   spec failed: 'some': 'other'
   no further details known at this point.
========================= short test summary info ==========================
FAILED test_simple.yaml::hello
======================= 1 failed, 1 passed in 0.12s ========================

在開發您的自訂測試收集和執行時，查看收集樹也很有趣

nonpython $ pytest --collect-only
=========================== test session starts ============================
platform linux -- Python 3.x.y, pytest-8.x.y, pluggy-1.x.y
rootdir: /home/sweet/project/nonpython
collected 2 items

<Package nonpython>
  <YamlFile test_simple.yaml>
    <YamlItem hello>
    <YamlItem ok>

======================== 2 tests collected in 0.12s ========================