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Pytest fixtures providing data read from function, module or package related (x)files.

Project description

Pytest fixtures providing data loaded from test function, test module or test package related data file (JSON, YAML, other can be added).


Some tests require complex or extended amount of data and it is cumbersome to keep the testing code and the data in the same python file.

This repository provides pytest fixtures called xfiles, allowing to keep the data in external files while allowing to get them loaded into relevant test very easily.

Typical format for data files is yaml, sometimes json, the solution is easy to extend for other formats.

Have tests/ file:

import requests

def test_get(function_yaml):
    url = function_yaml["url"]
    resp = requests.get(url)
    assert resp.ok
    data = resp.json()
    expected = function_yaml["expected"]
    assert data["args"] == expected["args"]
    exp_headers = expected["headers"]
    data_headers = data["headers"]
    # check presence of headers
    for header_name in exp_headers["exact_value"]:
        assert header_name in data_headers
    for header_name in exp_headers["prefix_match"]:
        assert header_name in data_headers
    # check values of headers
    for header_name, exp_value in exp_headers["exact_value"].items():
        assert data_headers[header_name] == exp_value
    # check prefix
    for header_name, exp_value in exp_headers["prefix_match"].items():
        assert data_headers[header_name].startswith(exp_value)

Value of function_yaml is loaded (by xfile fixture) from tests/test_httpbin.get.yaml file:

url: ""
    args: {}
            Accept: "*/*"
            Accept-Encoding: gzip, deflate
            Connection: close
            User-Agent: "python-requests/"

If we add another test into tests/ file:

def test_status(function_yaml):
    url_pattern = function_yaml["url"]
    for code, exp_reason in function_yaml["codes"].items():
        url = url_pattern.format(code=code)
        resp = requests.get(url)
        assert resp.status_code == code
        assert resp.reason == exp_reason

and related tests/test_httpbin.status.yaml:

    200: OK
    201: CREATED
    202: ACCEPTED
    204: NO CONTENT
    226: IM USED

one may wonder, how it comes, that even though both tests use the same fixture function_yaml, the data provided by this fixture clearly differs for each test. The trick is, that each time, the file name to load data from is derived using the test function name being called.

Fixtures provided

{scope}_xfile family

Having tests/sub/ with a test function test_fun, following fixtures would return path to an X-files as follows:

  • function_xfile: tests/sub/test_thing.test_fun._x_
  • module_xfile: tests/sub/test_thing._x_
  • package_xfile: tests/sub/__init__._x_

Each fixture provides path to a file with base name derived from current function, module or package and with an extension “._x_”.

This fixture is not usually used directly, but is used to derive another fixture loading data from a file with specific extension.

An example of derived fixture can be existing fixture function_json:

def function_json(function_xfile):
    path = function_xfile.with_suffix(".json")
    with"utf-8") as f:
        import json
        return json.load(f)

The fixture takes advantage of the filename calculated for given function, replaces extension with .json, loads the data from such a file and returns it.

{scope}_json family

Having tests/sub/ with a test function test_fun, following fixtures would return data loaded from JSON files as follows:

  • function_json: tests/sub/test_thing.test_fun.json
  • module_json: tests/sub/test_thing.json
  • package_json: tests/sub/__init__.json

{scope}_yaml family

Having tests/sub/ with a test function test_fun, following fixtures would return data loaded from YAML files as follows:

  • function_yaml: tests/sub/test_thing.test_fun.yaml
  • module_yaml: tests/sub/test_thing.yaml
  • package_yaml: tests/sub/__init__.yaml

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Files for pytest-xfiles, version 0.1.0
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