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kandi X-RAY | PyTest Summary
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QUESTION
While I am testing my API I recently started to get the error below.
...ANSWER
Answered 2022-Mar-29 at 13:29As of version 2.1.0, werkzeug
has removed the as_tuple
argument to Client
. Since Flask wraps werkzeug and you're using a version that still passes this argument, it will fail. See the exact change on the GitHub PR here.
You can take one of two paths to solve this:
Upgrade flask
Pin your werkzeug version
QUESTION
I'm trying to install eth-brownie using 'pipx install eth-brownie' but I get an error saying
...ANSWER
Answered 2022-Jan-02 at 09:59I used pip install eth-brownie and it worked fine, I didnt need to downgrade. Im new to this maybe I could be wrong but it worked fine with me.
QUESTION
I am developing a Django app (Django v3.2.10, pytest v7.0.1, pytest-django v4.5.2) which uses cursor to perform raw queries to my secondary DB: my_db2, but when running tests, all the queries return empty results, like if they were running on parallel transactions.
My test file:
...ANSWER
Answered 2022-Feb-24 at 05:47@hoefling and @Arkadiusz Łukasiewicz were right, I just needed to add the corresponding DB within the factories:
QUESTION
Assume we have:
...ANSWER
Answered 2022-Feb-18 at 22:26You can use the built-in request
fixture in your own fixture:
The
request
fixture is a special fixture providing information of the requesting test function.
Its node
attribute is the
Underlying collection node (depends on current request scope).
QUESTION
I have a test that makes a thing, validates it, deletes the thing and confirms it was deleted.
...ANSWER
Answered 2022-Feb-03 at 11:24If you want to test that a "thing" is deleted, make a fixture without teardown, delete it in the test, then assert if it is deleted.
QUESTION
In a module, I have two tests:
...ANSWER
Answered 2021-Dec-16 at 06:15The current structure of myfixture
guarantee cleanup()
is called between test_1
and test_2
, unless prepare_stuff()
is raising an unhandled exception. You will probably notice this, so the most likely issue is that cleanup()
dosn't "clean" everything prepare_stuff()
did, so prepare_stuff()
can't setup something again.
As for your question, there is nothing pytest
related that can cause the hang between the tests. You can force cleanup()
to be called (even if an exception is being raised) by adding finalizer, it will be called after the teardown part
QUESTION
I am connecting to a db using jaydebeapi and a jdbc driver using the following snippet, that works fine when the all parameters are correctly specified.
I am storing my credentials in environment variables e.g. os.environ.get('credentials')
ANSWER
Answered 2021-Dec-13 at 14:14You are using the default traceback logger of pytest, which also logs the arguments passed to a specific function. One way to solve this kind of leak is to use another traceback mode. You can find the general documentation at this link. In that link you can find two interesting traceback modes:
--tb=short
--tb=native
Both give you all the information you need during your specific test since:
- They still give you information about the tests failed or succeded
- Since you are using parametrized tests, the logs about failures will look like
FAILED test_issue.py::test_connectivity[server_name-server_jdbc_port-server_database-name_env_credentials-name_env_pwd]
, in this way you can identify the actual failing test
Mind that this solution, while avoiding to log the credentials used at test time, these credentials used during testing must not be the same that will be used outside the test environment. If you are concerned with the fact that in case of failures in production, the logger could leak your credentials, you should setup you logger accordingly and avoid to log the default text of the exception.
QUESTION
@pytest.fixture
def d_service():
c = DService()
return c
# @pytest.mark.asyncio # tried it too
async def test_get_file_list(d_service):
files = await d_service.get_file_list('')
print(files)
...ANSWER
Answered 2021-Nov-18 at 08:02This works for me, please try:
QUESTION
How do I test that my program is robust to unexpected shut-downs?
My python code will run on a microcontroller that shuts off unexpectedly. I would like to test each part of the code rebooting unexpectedly and verify that it handles this correctly.
Attempt: I tried putting code into its own process, then terminating it early, but this doesn't work because MyClass calls 7zip from the command line which continues even after process dies:
...ANSWER
Answered 2021-Nov-07 at 17:44Your logic starts a process wrapped within the MyClass
object which itself spawns a new process via the os.system
call.
When you terminate the MyClass
process, you kill the parent process but you leave the 7zip
process running as orphan.
Moreover, the process.terminate
method sends a SIGTERM
signal to the child process. The child process can intercept said signal and perform some cleanup routines before terminating. This is not ideal if you want to simulate a situation where there is no chance to clean up (a power loss). You most likely want to send a SIGKILL
signal instead (on Linux).
To kill the parent and child process, you need to address the entire process group.
QUESTION
I have a lamba handler that uses an environment variable. How can I set that value using pytest. I'm getting the error
...ANSWER
Answered 2021-Oct-19 at 03:02You're getting the failure before your monkeypatch is able to run. The loading of the environment variable will happen when the runner module is first imported.
If this is a module you own, I'd recommend modifying the code to use a default value if DATA_ENGINEERING_BUCKET isn't set. Then you can modify it's value to whatever you want at runtime by calling module.DATA_ENGINEERING_BUCKET = "my_bucket"
.
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