pytest 和失败:不允许数据库访问,使用“django_db”标记,或“db”或“transactional_db”装置来启用它

Dmi*_*nov 15 django-testing pytest python-3.x pytest-django

在从 shell调用pytest期间,我得到以下输出,因为我的测试存储在apps.business.metrics.tools.tests.py 中,并且在模块导入期间

apps/business/metrics/widgets/employees/utilization.py

在模块调用期间实时调用 SQL。这是由

get_metric_columns('EmployeeUtilization', shapers=SHAPERS)

和 pytest 投诉:

? pytest
=========================================================================== test session starts ===========================================================================
platform linux -- Python 3.6.8, pytest-4.0.0, py-1.7.0, pluggy-0.8.0
Django settings: config.settings.local (from ini file)
rootdir: /home/dmitry/Projects/analytics/backend, inifile: pytest.ini
plugins: django-3.4.7, pylama-7.6.6, django-test-plus-1.1.1, celery-4.2.1
collected 60 items / 1 errors                                                                                                                                             

================================================================================= ERRORS ==================================================================================
__________________________________________________________ ERROR collecting apps/business/metrics/tools.tests.py __________________________________________________________
../../../.pyenv/versions/3.6.8/envs/cam/lib/python3.6/site-packages/py/_path/local.py:668: in pyimport
    __import__(modname)
apps/business/metrics/__init__.py:3: in <module>
    from .widgets import *  # noqa
apps/business/metrics/widgets/__init__.py:1: in <module>
    from . import help  # noqa
apps/business/metrics/widgets/help.py:1: in <module>
    from .employees.utilization import EmployeeSwarmUtilization
apps/business/metrics/widgets/employees/utilization.py:19: in <module>
    get_metric_columns('EmployeeUtilization', shapers=SHAPERS)
apps/business/metrics/tools.py:132: in get_metric_columns
    m = get_metric(metric, period=p, shapers=shapers)
apps/business/metrics/data/__init__.py:23: in get_metric
    return metrics[name](*args, **kwargs)
apps/business/metrics/data/abstract.py:441: in __init__
    self._to_dataframe(self.sql or self._ingest())
apps/business/metrics/data/abstract.py:472: in _to_dataframe
    source, connection, params=query_params, index_col=self.index
../../../.pyenv/versions/3.6.8/envs/cam/lib/python3.6/site-packages/pandas/io/sql.py:381: in read_sql
    chunksize=chunksize)
../../../.pyenv/versions/3.6.8/envs/cam/lib/python3.6/site-packages/pandas/io/sql.py:1413: in read_query
    cursor = self.execute(*args)
../../../.pyenv/versions/3.6.8/envs/cam/lib/python3.6/site-packages/pandas/io/sql.py:1373: in execute
    cur = self.con.cursor()
../../../.pyenv/versions/3.6.8/envs/cam/lib/python3.6/site-packages/django/db/backends/base/base.py:255: in cursor
    return self._cursor()
../../../.pyenv/versions/3.6.8/envs/cam/lib/python3.6/site-packages/django/db/backends/base/base.py:232: in _cursor
    self.ensure_connection()
E   Failed: Database access not allowed, use the "django_db" mark, or the "db" or "transactional_db" fixtures to enable it.
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Interrupted: 1 errors during collection !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
========================================================================= 1 error in 2.43 seconds =========================================================================
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有没有办法用 pytest 处理这种情况?

我知道我可以将get_metric_columns('EmployeeUtilization', shapers=SHAPERS)转换为部分函数并更改实现,但是还有其他方法吗?

Ahs*_*san 16

解决方案:

import pytest


@pytest.mark.django_db
class TestExample:
    def test_one():
        ...
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假设您已经在TestExample测试文件中创建了一个类,它应该用@pytest.mark.django_db. 它应该可以解决您的问题。

  • 就我而言,即使添加“@pytest.mark.django_db”后也会出现相同的错误。有什么建议来修复它吗?@阿桑 (4认同)
  • 我的代码从来没有需要这个,然后今天突然需要了。如此迷茫... (2认同)

M3R*_*3RS 9

TestCase解决这个问题的另一种方法是在测试类中继承 Django :

from django.test import TestCase


class TestExampleTestCase(TestCase):
    def test_one():
        ...
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确保您导入django.test.TestCase而不是unittest.TestCase.

接受的答案也应该有效,但这将为您提供 Django 测试框架提供的额外工具,并且是根据有关测试的官方 Django 文档编写测试的标准方法。