Covalent Cloud GitHub Workflow Template 🚀

This repository provides a template for integrating high-performance functions on Covalent Cloud seamlessly into your GitHub Workflows. The workflow demonstrates how to dispatch compute-intensive tasks, track their status, and store results for further analysis.

If you wish to read more, please take a look at the companion blog post, which will provide a detailed walkthrough, example use cases, and further explanations ✨. To learn more about Covalent Cloud, visit covalent.xyz and the documentation at docs.covalent.xyz. To use this, you need a Covalent Cloud account, please sign up here.

Note: This is just a template to get you started. You can customize it to fit your specific needs.

Overview 📝

1. Job Submission: The workflow dispatches a series of high-performance functions to Covalent Cloud. For demonstration, these functions simulate intensive computation with a sleep operation and randomly return "done" or "failed" as the outcome.
2. Status Tracking: The run status for each dispatched job is maintained in the runid_status.csv file.
3. Result Storage: Upon completion, results are collected and stored in the results.csv file.

Getting Started 👐

1. Clone the Repository: Get your own copy of this repository.
2. Install Dependencies: Install required packages (pip install -r .github/workflows/requirements.txt)
3. Covalent Cloud API Key: Set your Covalent Cloud API key as a GitHub secret named CC_API_KEY.

Potential Enhancements ✈️

• Customization 🛠️ : Adapt to your workflow - modify covalent_workflow.py to replace the placeholder functions with your own computationally intensive code.
• Flexible Triggers: Explore different trigger mechanisms (pull requests, code changes, external webhooks) to automate your workflow.
• Workflow Separation: Consider separate workflows for job submission and result monitoring, potentially with different schedules, for better modularity.
• Database Integration: Replace the simple CSV-based status tracking with a database solution (e.g., SQLite, PostgreSQL) for scalability and advanced querying.
• Result Retrieval: Use Covalent primitives (cc.get_result) in other scripts or workflows to retrieve results and status updates for tasks dispatched within this workflow.

Key Takeaway 🗝️

This template provides a solid foundation for streamlining the integration of high-performance computing tasks into your GitHub development processes. The focus is on flexibility – adapt it to fit your specific computational needs! 💪

Learn More 📚

• Covalent Cloud Documentation: docs.covalent.xyz
• Sign Up for Covalent Cloud: covalent.xyz/register
• Covalent Cloud Website: covalent.xyz