feat: Added Deploy-v2 pipeline with manual dispatch and input parameter support and Updated Smoke Testing scenarios#318
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Vamshi-Microsoft wants to merge 2 commits intomicrosoft:mainfrom
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…port and Update E2e folder with Smoke Testing scenarios
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Purpose
This pull request introduces several improvements and new features across the project, focusing on infrastructure flexibility, enhanced test automation, and improved code maintainability. The most significant changes include parameterizing container image tags and registry endpoints for deployment, adding a robust GitHub Actions workflow for end-to-end testing with retries and reporting, and refactoring test code for clarity and documentation.
Infrastructure parameterization and deployment flexibility:
AZURE_ENV_CONTAINER_REGISTRY_ENDPOINT) and image tag (AZURE_ENV_CONTAINER_IMAGE_TAG) toinfra/main.bicep,infra/main.parameters.json, andinfra/main.waf.parameters.json, allowing dynamic selection of image sources and tags during deployment. Updated all relevant module references ininfra/main.bicepto use these parameters instead of hardcodedlatesttags. Also introducedAZURE_LOCATIONparameter for flexible region selection. [1] [2] [3] [4] [5] [6] [7] [8] [9]Test automation and reporting enhancements:
.github/workflows/test-automation-v2.yml) for automated content processing tests. The workflow includes environment setup, application readiness checks, up to three test retries with delays, artifact upload, and a detailed summary report in the workflow output.conftest.py. [1] [2] [3] [4]Test codebase improvements and documentation:
base.py,constants.py, andloginPage.pyfor better clarity and maintainability. Improved the robustness of environment variable handling inconstants.py. [1] [2] [3] [4]Documentation updates:
docs/CustomizingAzdParameters.mdto reflect new parameters for container registry, image tag, and location.README.mdfor clarity.Does this introduce a breaking change?
Golden Path Validation
Deployment Validation