π 2024-08-11 β Session: Integrated GitHub Actions for Poverty Atlas
π 19:55β20:50
π·οΈ Labels: Github Actions, Poverty Atlas, Automation, Machine Learning
π Project: Dev
β Priority: MEDIUM
Session Goal
The primary goal of this session was to integrate updated machine learning models from the encuestador-de-hogares
repository into the Poverty Atlas project, utilizing GitHub Actions for automation.
Key Activities
- Outlined the workflow for integrating machine learning models using Jupyter Notebooks and GitHub Actions.
- Resolved a GitHub token permissions error by creating and configuring a Personal Access Token (PAT) with the necessary scopes.
- Troubleshooted various GitHub errors, including βResource not accessible by integrationβ and βBad credentialsβ, ensuring proper authentication and permissions.
- Managed and securely stored GitHub secrets, ensuring sensitive information is handled appropriately.
Achievements
- Successfully configured GitHub Actions to automate the data processing and recalculation of poverty metrics.
- Resolved authentication and permissions issues, ensuring smooth operation of GitHub workflows.
Pending Tasks
- Continuously monitor the workflows for any errors or necessary updates.
- Explore further optimizations in the automation process.