Research
Security News
Malicious npm Package Targets Solana Developers and Hijacks Funds
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
pytest-django-queries
Advanced tools
Generate performance reports from your django database performance tests.
Generate performance reports from your django database performance tests (inspired by coverage.py).
Install pytest-django-queries
, write your pytest tests and mark any
test that should be counted or use the count_queries
fixture.
Note: to use the latest development build, use pip install --pre pytest-django-queries
import pytest
@pytest.mark.count_queries
def test_query_performances():
Model.objects.all()
# Or...
def test_another_query_performances(count_queries):
Model.objects.all()
Each test file and/or package is considered as a category. Each test inside a "category" compose its data, see Visualising Results for more details.
You will find the full documentation here.
You might end up in the case where you want to add fixtures that are generating queries
that you don't want to be counted in the results–or simply, you want to use the
pytest-django
plugin alongside of pytest-django-queries
, which will generate
unwanted queries in your results.
For that, you will want to put the count_queries
fixture as the last fixture to execute.
But at the same time, you might want to use the the power of pytest markers, to separate
the queries counting tests from other tests. In that case, you might want to do something
like this to tell the marker to not automatically inject the count_queries
fixture into
your test:
import pytest
@pytest.mark.count_queries(autouse=False)
def test_retrieve_main_menu(fixture_making_queries, count_queries):
pass
Notice the usage of the keyword argument autouse=False
and the count_queries
fixture
being placed last.
We recommend you to do the following when using pytest-django
:
import pytest
@pytest.mark.django_db
@pytest.mark.count_queries(autouse=False)
def test_retrieve_main_menu(any_fixture, other_fixture, count_queries):
pass
TBA.
Simply install pytest-django-queries
through pip and run your
tests using pytest
. A report should have been generated in your
current working directory in a file called with .pytest-queries
.
Note: to override the save path, pass the --django-db-bench PATH
option to pytest.
You can generate a table from the tests results by using the show
command:
django-queries show
You will get something like this to represent the results:
+---------+--------------------------------------+
| Module | Tests |
+---------+--------------------------------------+
| module1 | +-----------+---------+------------+ |
| | | Test Name | Queries | Duplicated | |
| | +-----------+---------+------------+ |
| | | test1 | 0 | 0 | |
| | +-----------+---------+------------+ |
| | | test2 | 1 | 0 | |
| | +-----------+---------+------------+ |
+---------+--------------------------------------+
| module2 | +-----------+---------+------------+ |
| | | Test Name | Queries | Duplicated | |
| | +-----------+---------+------------+ |
| | | test1 | 123 | 0 | |
| | +-----------+---------+------------+ |
+---------+--------------------------------------+
For a nicer presentation, use the html
command, to export the results as HTML.
django-queries html
It will generate something like this.
You can run django-queries backup
(can take a path, optionally) after
running your tests then rerun them. After that, you can run django-queries diff
to generate results looking like this:
First of all, clone the project locally. Then, install it using the below command.
./setup.py develop
After that, you need to install the development and testing requirements. For that, run the below command.
pip install -e .[test]
FAQs
Generate performance reports from your django database performance tests.
We found that pytest-django-queries demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
Security News
Research
Socket researchers have discovered malicious npm packages targeting crypto developers, stealing credentials and wallet data using spyware delivered through typosquats of popular cryptographic libraries.
Security News
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.