Add performance integration tests

[jlaneve]

Description

This PR adds a step to our CI to measure how quickly Cosmos can run models. This is part of a larger initiative to make the project more performant now that it's reached a certain level of maturity.

How it works:

• We now have a test that generates a dbt project with a certain number of sequential models (based on a parameter that gets passed in), runs a simple DAG, and measures task throughput (measured in terms of models run per second
• I've extended our CI to run this test for 1, 10, 50, and 100 models to start
• This CI reports out a GitHub Actions output that gets shown in the actions summary, at the bottom

While this isn't perfect, it's a step in the right direction - we now have some general visibility! Note that these numbers may not be indicative of a production Airflow environment running something like the Kubernetes Executor, because this runs a local executor on GH Actions runners. Still, it's meant as a benchmark to demonstrate whether we're moving in the right direction or not.

As part of this, I've also refactored our tests to call a script from the pyproject file instead of embedding the scripts directly in the file. This should make it easier to maintain and track changes.

Related Issue(s)

#800

Breaking Change?

Checklist

• I have made corresponding changes to the documentation (if required)
• I have added tests that prove my fix is effective or that my feature works

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (dfdb3f6) 94.40% compared to head (aec1d7e) 94.40%.
Report is 3 commits behind head on main.

❗ Current head aec1d7e differs from pull request most recent head 18fc743. Consider uploading reports for the commit 18fc743 to get more accurate results

Additional details and impacted files

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  Coverage   94.40%   94.40%           
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  Files          56       56           
  Lines        2520     2520           
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  Hits         2379     2379           
  Misses        141      141           

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[jbandoro]

🚀 this is great! Excited to test out the performance dag in #836 see how much a difference it makes.