Please add tests, also check out my fork which greatly improves this repo and has a python/js test suite

[zackees]

This is my fork of your repo.

https://github.com/zackees/SmoothMQ

While your repo kinda works but is not really tested and doesn't work on Render/DigitalOcean, mine does. Additionally, I have added nginx and added auth so that the codebase can be put on the public web. I've also implemented persistent storage of the sqlite data at /var/data so a disk/volume can be attached so that the queue can survive reboots/redeploys

Here is a change list:

• port 3000 -> localhost:80/ui and is protected with basic http authorization.
  • user: user
  • password:
• port 3001 -> localhost:80/ and is protected with the amazon secret key
• Can be dropped into Render.com / Digital Ocean
  • If you allocate a disk at /var/data then the SQS queue will be persistant across reboots/deploys
• This code base has a test suite
  • javascript
  • python

• Deleting of Queues is implemented

  Also note that I created a minimal AWS sqs wrapper so that legacy js clients can use this package:

// const AWS = require('aws-sdk');  // this is replaced by sqs-legacy-adapter
const AWS = require('sqs-legacy-adapter');

[poundifdef]

Thanks for spending so much time looking through the code. Are you okay with me picking and choosing bits to copy in?

For example, I wouldn’t use nginx for basic auth, instead keeping that code in go, but deletes are looking good and I’d love to add that.

[zackees]

Yeah absolutely. I made this fork public to give back to you. Notice that I massively speed up the docker rebuild by putting the incremental building of the go project as different cache layers.

testing

The install stuff at the root of the project is to install the python dependencies for testing. I originally tried to put this stuff in the test/py directory, but VSCode refuses to invoke the debugger unless it's at the root, for some reason.

By the way, the speed of these improvements was made possible because of my advanced ai coding assistant. You should check it out:

pip install advanced-aicode