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dpg-2227: added yml file for mfe module(engagement,fsm,tqm,pgr) #166
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WalkthroughWalkthroughThis update introduces GitHub Actions workflows across multiple services (engagement UI, FSM UI, pgr UI, TQM UI) for building and pushing Docker images. Triggered by branch pushes and pull requests, these workflows automate the Docker image creation process, including environment setup, Docker build, and push to Docker Hub. Changes
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Review Status
Actionable comments generated: 1
Configuration used: CodeRabbit UI
Files selected for processing (4)
- .github/workflows/mfe-engagement-ui-docker.yml (1 hunks)
- .github/workflows/mfe-fsm-ui-docker.yml (1 hunks)
- .github/workflows/mfe-pgr-ui-docker.yml (1 hunks)
- .github/workflows/mfe-tqm-ui-docker.yml (1 hunks)
Additional comments: 7
.github/workflows/mfe-fsm-ui-docker.yml (4)
- 3-7: The trigger conditions for this workflow are clearly defined, ensuring that the Docker image build and push process is initiated only for relevant changes. This is a good practice for optimizing CI/CD pipeline efficiency.
- 20-25: Setting up environment variables for
BRANCH_NAME
,ACTION_NUMBER
, andCOMMIT_ID
is done correctly. Using the last 8 characters ofGITHUB_SHA
forCOMMIT_ID
is a common practice for versioning. This setup is crucial for tagging Docker images in a meaningful way.- 27-35: The Docker image build step is well-defined, including specifying the working directory and using environment variables to construct the
IMAGE_TAG
. This ensures that each Docker image is uniquely tagged with the branch name, commit ID, and action number, which is excellent for traceability.- 37-49: The Docker Hub login and image push steps are securely handled using secrets for
DOCKER_USERNAME
andDOCKER_PASSWORD
. Echoing the Docker password into thedocker login
command is a secure way to authenticate without exposing the password in logs. Pushing the Docker image with the constructedIMAGE_NAME
ensures that the correct image is uploaded.However, it's important to ensure that the Docker Hub repository (
egovio/fsm-ui
) exists and the provided Docker Hub account has the necessary permissions to push images to it..github/workflows/mfe-pgr-ui-docker.yml (1)
- 1-49: Given the similarity of this workflow file to the previous one reviewed (
mfe-fsm-ui-docker.yml
), the same comments and approvals apply. It's well-structured and follows best practices for building and pushing Docker images for the PGR UI service. Ensure that the Docker Hub repository (egovio/pgr-ui
) exists and the provided Docker Hub account has the necessary permissions to push images to it..github/workflows/mfe-tqm-ui-docker.yml (1)
- 1-49: This workflow file for the TQM UI service mirrors the structure and logic of the previously reviewed files. It adheres to best practices for CI/CD workflows, including the use of secrets for Docker Hub credentials and unique tagging of Docker images. Ensure that the Docker Hub repository (
egovio/tqm-ui
) exists and the provided Docker Hub account has the necessary permissions to push images to it..github/workflows/mfe-engagement-ui-docker.yml (1)
- 1-49: This workflow file for the Engagement UI service is consistent with the others in terms of structure, logic, and best practices. It correctly uses GitHub Actions features and Docker commands to build and push Docker images. Ensure that the Docker Hub repository (
egovio/engagement-ui
) exists and the provided Docker Hub account has the necessary permissions to push images to it.
steps: | ||
- uses: actions/checkout@v3 | ||
with: | ||
fetch-depth: 0 # Fetch all history for tags and branches |
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Using actions/checkout@v3
with fetch-depth: 0
ensures that all history for tags and branches is fetched, which is necessary for certain operations that might depend on the full git history. However, for building Docker images, consider if you need the full history, as fetching less can speed up the checkout process.
Consider setting a specific fetch-depth
value if the full history is not required for the Docker build process, to improve the efficiency of the checkout step.
Summary by CodeRabbit