Getting error while running the HAR file using CLI about transformer HOT 6 CLOSED

Thank you for your help! I have pre-released v1.3.1 with the suggested change, and will make it official (and upload it to pypi) when I have gathered the necessary approval from Zalando.

from transformer.

Hi, this looks like a duplicate of #72 (based on the first line of your error message, only partially visible in your screenshot). Unfortunately, this project currently doesn’t have the resources to support Windows as a first-class platform. Please try running Transformer inside Docker instead!

from transformer.

Hey all,
I had a similar issue, and found that if you just pre-process the file and re-encode it in python, you can get it to run.

_f1Text = open('har/login.har', encoding='utf-8').read()
newText = f1Text.encode('charmap', errors='ignore').decode('charmap')
newOut = open('har/login_new.har', 'w', encoding = 'charmap')
newOut.write(newText)

#now run transformer on your har directory_

It could be nice to just detect if you're on windows and use a different encoding by default though.

from transformer.

Hi, this looks like a duplicate of #72 (based on the first line of your error message, only partially visible in your screenshot). Unfortunately, this project currently doesn’t have the resources to support Windows as a first-class platform. Please try running Transformer inside Docker instead!

It wasn't mentioned anywhere that Windows isn't supported.
This should be acknowledged somewhere in the README.

from transformer.

I had the same issue and like @JustinRoll says the issue has to do with the file encoding. Modifying the line 315 in the scenario.py file like the image below I was able to get the resulting locust file:

It would be nice that the method 'dump' from the transformer class could receive the 'enconding' value as a parameter.

from transformer.

I have released v2.0.0 (major version bump because I also renamed the "blacklist" keyword argument) and also uploaded it to PyPI. Please let me know if a similar problem still occurs. 🙂

from transformer.