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fixtures do not record dependencies on other fixtures

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Bewertung

Schwierigkeit
3/5
Geschätzter Aufwand
1-2 Tage
Anfängerfreundlichkeit
64/100
Issue-Typ
Feature
Klarheit
Klar beschrieben
Aktivitätsstatus
Aktiv
Tech-Stack
python
Bereich
testing

Rechercherichtung

Start in the allure-pytest listener's pytest_fixture_setup handling, where each fixture becomes a before entry in a container JSON file; the fixturedef handed to that hook exposes the fixture's argument names, which is exactly the dependency data missing from the output. Run the snippet from the issue to generate the allure/*.json files and confirm where the ordering information is lost. Check whether the shared Allure results schema needs a new field before a report can order the fixtures, then verify existing allure-pytest tests still pass.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Beschreibung

theme:pytest

Example:

import pytest
import allure


def func(n):
    return n**2


@pytest.fixture()
def input_data():
    with allure.step("Prepare input data"):
        data = 5

    return data


@pytest.fixture()
def compute_job(input_data):

    with allure.step("Compute result"):
        result = func(input_data)

    return result


def test(compute_job):

    with allure.step("Verify result"):
        assert compute_job == 25

In this case, allure output json files contain no information that allows to deduce that the compute_job fixture depends on the input_data fixture.

Since they are fast, time ordering is not possible in most cases, since times are only recorded as integer seconds.

The allure report then shows the two fixtures in the wrong order:

Image
Output json files:

allure/404698a7-6d47-46ee-951e-f1370a8ae247-container.json

{
  "uuid": "a00b000b-e3bf-4599-b1fe-f99a4d9265fb",
  "children": [
    "cb8afcb4-86c9-4ec5-b7c1-def3c168afde"
  ],
  "befores": [
    {
      "name": "compute_job",
      "status": "passed",
      "steps": [
        {
          "name": "Compute result",
          "status": "passed",
          "start": 1791292365354,
          "stop": 1791292365354
        }
      ],
      "start": 1791292365354,
      "stop": 1791292365354
    }
  ],
  "afters": [
    {
      "name": "compute_job::<lambda>",
      "start": 1791292365355
    }
  ],
  "start": 1791292365354,
  "stop": 1791292365355
}

allure/b068721b-3ae1-4959-9376-e840e763dbee-container.json

{
  "uuid": "76f7b786-56ff-4b9b-9931-98c632f44c92",
  "children": [
    "cb8afcb4-86c9-4ec5-b7c1-def3c168afde"
  ],
  "befores": [
    {
      "name": "input_data",
      "status": "passed",
      "steps": [
        {
          "name": "Prepare input data",
          "status": "passed",
          "start": 1791292365354,
          "stop": 1791292365354
        }
      ],
      "start": 1791292365354,
      "stop": 1791292365354
    }
  ],
  "afters": [
    {
      "name": "input_data::<lambda>",
      "start": 1791292365355
    }
  ],
  "start": 1791292365354,
  "stop": 1791292365355
}

allure/a16a30e1-80d0-4a0e-8dda-54c1cbbb5157-result.json

{
  "name": "test",
  "status": "passed",
  "steps": [
    {
      "name": "Verify result",
      "status": "passed",
      "start": 1791292365355,
      "stop": 1791292365355
    }
  ],
  "start": 1791292365355,
  "stop": 1791292365355,
  "uuid": "cb8afcb4-86c9-4ec5-b7c1-def3c168afde",
  "historyId": "761acda85279d873545739563f5f4cb2",
  "testCaseId": "761acda85279d873545739563f5f4cb2",
  "fullName": "test_example#test",
  "labels": [
    {
      "name": "suite",
      "value": "test_example"
    },
    {
      "name": "host",
      "value": "max-desktop"
    },
    {
      "name": "thread",
      "value": "980504-MainThread"
    },
    {
      "name": "framework",
      "value": "pytest"
    },
    {
      "name": "language",
      "value": "cpython3"
    },
    {
      "name": "package",
      "value": "test_example"
    }
  ],
  "titlePath": [
    "test_example.py"
  ]
}
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3

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