Pipelines: How to get speedtest-cli working?

[Daniel Disbrow]

I've got a pipeline that I'm trying to do some cloud testing with.

It's running Python, and the very first step installs the dependencies that I need to run the rest of the .yml file.

Yet, when it gets to the next script, it says it can't find the module that it just installed. I've run this same script (with the exact same syntax) on hardware and it works. Is there something to Bitbucket Pipelines that I'm missing? I've read the documentation on configuring Pipelines, both in general and specifically for Python, and it's running the exact same version as the hardware I've tested these same scripts on.

The script that's running is prefixed by #!/usr/bin/python, if that helps.

Is there something integral to Pipelines that this messes up?

[Philip Hodder]

Hi Daniel,

Can you include a copy of your bitbucket-pipelines.yml here, so we can double check your commands?

Have you also tried debugging this locally with docker? Rather than just on your own machine (as you may have other things setup correctly affecting your result).

Thanks,

Phil

[Daniel Disbrow]

image: python
pipelines: 
default: 
  - step: 
      name: Prerequisites Install 
      script: 
        - pip install requests speedtest-cli 
      artifacts: 
        - dist/**
        
  - step: # test 
      deployment: production 
      name: test
      script: 
        - python test.py production

Passed config test through https://bitbucket-pipelines.prod.public.atl-paas.net/validator

The error I'm getting is on step 2, which is that the speedtest module doesn't exist.

Not using Docker in any part of the installation. Why would debugging with Docker help?

[Daniel Disbrow]

The formatting is off as far as indentation for the purposes of this answer, but the indentation in the actual .yml file is correct.

[Philip Hodder]

Hi Daniel,

The bitbucket-pipelines.yml looks fine to me.

Can you double check that the files exist in the directory you're expecting to find them in? The following 'ls' commands should suffice.

image: python
pipelines: 
default: 
  - step: 
      name: Prerequisites Install 
      script: 
        - pip install requests speedtest-cli 
        - ls -Rla dist
      artifacts: 
        - dist/**
        
  - step: # speedtest with throughput 
      deployment: production 
      name: Speedtest with Throughput 
      script: 
        - ls -Rla dist
        - python ubidots_speedtest_throughput.py production
...

[Daniel Disbrow]

They come back in the right directory, but there's an internal command within the files themselves that I'm having issues with that's coming back with this.