Create python-package-conda.yml

[gantulu]

Summary by Sourcery

Introduce a GitHub Actions workflow to automate the build and test process for a Python package using Conda, including setting up Python 3.10, installing dependencies, linting with flake8, and running tests with pytest.

CI:

• Add a new GitHub Actions workflow for building and testing a Python package using Conda on Ubuntu.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request adds a new GitHub Actions workflow file for Python package testing using Conda. The workflow is set up to run on push events, install dependencies from an environment.yml file, perform linting with flake8, and run tests with pytest.

File-Level Changes

Change	Details	Files
Add a new GitHub Actions workflow for Python package testing with Conda	Set up the workflow to run on push events Configure the job to run on ubuntu-latest with Python 3.10 Add Conda to the system path Install dependencies from an environment.yml file Perform linting with flake8 Run tests with pytest	.github/workflows/python-package-conda.yml

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[sourcery-ai]

Hey @gantulu - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider triggering this workflow on pull requests as well as pushes to catch issues earlier in the development process.
• Implement dependency caching to speed up subsequent workflow runs. GitHub Actions provides built-in support for caching Conda environments.

Here's what I looked at during the review

• 🟡 General issues: 3 issues found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[sourcery-ai]

suggestion (performance): Consider using a more recent Python version

Python 3.10 is not the latest version. Consider using a more recent version like 3.11 or 3.12 for potential performance improvements and new features, or explain the specific reason for choosing 3.10.

Suggested change

	uses: actions/setup-python@v3
	uses: actions/setup-python@v4
	with:
	python-version: '3.12'

[sourcery-ai]

suggestion (performance): Consider using more specific workflow triggers

Triggering the workflow on every push might lead to unnecessary builds for larger repositories. Consider using more specific triggers, such as pushes to specific branches or pull requests, to optimize resource usage.

Suggested change

	on: [push]
	on:
	push:
	branches: [main, develop]
	pull_request:
	branches: [main]

[sourcery-ai]

suggestion (performance): Implement caching for the Conda environment

Consider implementing caching for the Conda environment. This could significantly speed up the workflow, especially for larger projects with many dependencies.

Suggested change

	- name: Install dependencies
	- name: Cache Conda environment
	uses: actions/cache@v2
	with:
	path: ~/conda_pkgs_dir
	key: ${{ runner.os }}-conda-${{ hashFiles('environment.yml') }}
	restore-keys: |
	${{ runner.os }}-conda-
	- name: Install dependencies
	if: steps.cache.outputs.cache-hit != 'true'