chore: improve CI/CD workflows, automate dependency updates, and enforce linting standards#30
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Roopan-Microsoft merged 36 commits intomicrosoft:devfrom Oct 8, 2025
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Pull Request Overview
This PR introduces comprehensive CI/CD automation improvements including Azure deployment workflows, dependency management, and code quality enforcement. The main focus is on infrastructure automation with minor code formatting adjustments to meet linting standards.
- Added GitHub Actions workflows for Azure deployment validation and Python linting
- Implemented Dependabot configuration for automated dependency updates across npm, pip, and GitHub Actions
- Applied code formatting fixes to comply with Flake8 linting standards
Reviewed Changes
Copilot reviewed 26 out of 29 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
.github/workflows/ci.yml |
Azure deployment validation workflow with quota checks and cleanup |
.github/workflows/pylint.yml |
Python linting workflow using Flake8 |
.github/dependabot.yml |
Automated dependency update configuration |
.flake8 |
Flake8 linting configuration file |
scripts/checkquota.sh |
Azure quota validation script |
| Multiple Python files | Code formatting fixes for linting compliance |
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added 10 commits
October 8, 2025 11:03
…djust base tag for pull requests
Roopan-Microsoft
approved these changes
Oct 8, 2025
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🎉 This PR is included in version 1.0.0 🎉 The release is available on GitHub release Your semantic-release bot 📦🚀 |
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Purpose
This pull request introduces several improvements to CI/CD automation, code quality enforcement, and configuration management for the project. The main changes include the addition of robust Azure deployment and cleanup workflows, automated dependency updates, and stricter Python linting configuration. Minor code formatting and typing adjustments are also included.
CI/CD Automation and Infrastructure:
.github/workflows/ci.yml) for validating Azure deployments, handling resource group creation/deletion, quota checks, soft deletion and purging of AI services and Key Vaults, and sending notifications on failures. This streamlines and automates the deployment lifecycle.scripts/checkquota.sh) to programmatically validate Azure Cognitive Services quota across multiple regions, ensuring deployments only proceed when sufficient resources are available.Dependency and Code Quality Management:
.github/dependabot.yml) to automate grouped dependency updates for npm, pip, and GitHub Actions, improving security and maintainability..github/workflows/pylint.yml) using Flake8, with custom configuration to enforce code style and catch errors in the codebase..flake8configuration file to specify linting rules, ignored errors, and excluded directories for consistent code quality checks.Minor Codebase Improvements:
src/backend-api/src/app/libs/application/application_configuration.py,src/backend-api/src/app/libs/base/fastapi_protocol.py,src/backend-api/src/app/libs/models/messages.py,src/backend-api/src/app/libs/repositories/file_repository.py). [1] [2] [3] [4]Does this introduce a breaking change?
Golden Path Validation
Deployment Validation
What to Check
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