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Ensure the RUN_AS ownership applies to the DB's named volume #2099

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@mogul mogul commented Oct 2, 2024

See conversation here. Tested locally; it works! cc @burnettk

Summary by CodeRabbit

  • New Features
    • Introduced a new service for managing volume ownership to ensure proper permissions for the SQLite database.
    • Updated backend service to depend on the new volume ownership service for improved startup reliability.

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coderabbitai bot commented Oct 2, 2024

📝 Walkthrough
📝 Walkthrough

Walkthrough

The docker-compose.yml file has been updated to introduce a new service named match-volume-ownership. This service runs an Alpine image and executes a command to change the ownership of the /app/db_volume directory based on the RUN_AS environment variable. The spiffworkflow-backend service has been modified to depend on this new service, ensuring that the volume ownership is established before the backend service starts. Existing configurations for other services remain unchanged.

Changes

File Change Summary
docker-compose.yml - Added new service match-volume-ownership for volume ownership management.
- Updated spiffworkflow-backend to depend on match-volume-ownership.

Possibly related PRs

  • Try to head off file ownership issues #2096: This PR addresses file ownership issues, which is directly related to the new match-volume-ownership service introduced in the main PR to manage volume ownership in the Docker setup.

Suggested reviewers

  • burnettk

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Files that changed from the base of the PR and between e2a5a3a and f9ad277.

📒 Files selected for processing (1)
  • docker-compose.yml (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • docker-compose.yml

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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)
docker-compose.yml (1)

16-24: LGTM with suggestions for improvement

The match-volume-ownership service effectively ensures that the RUN_AS user has write permissions to the SQLite DB volume. This is a good solution to the volume ownership issue.

Suggestions for improvement:

  1. Consider adding a condition to check if the ownership change is necessary before executing chown. This could potentially speed up container startup times for subsequent runs.
  2. While running as root is necessary for changing ownership, consider adding the --user flag to the chown command to explicitly run as root, making the intention clear.

Example implementation:

match-volume-ownership:
  image: alpine
  restart: "no"
  user: root
  entrypoint: |
    /bin/sh -c "
    if [ \"$(stat -c '%u:%g' /app/db_volume)\" != \"${RUN_AS:-0:0}\" ]; then
      chown ${RUN_AS:-0:0} /app/db_volume
    else
      echo 'Ownership is already correct. Skipping.'
    fi
    "
  volumes:
    - spiffworkflow_backend_db:/app/db_volume:rw

This change would only update the ownership when necessary and explicitly runs as root.

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Files that changed from the base of the PR and between 341a89c and 27cc521.

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🔇 Additional comments (2)
docker-compose.yml (2)

32-33: LGTM: Correct dependency added

The addition of the depends_on clause for the match-volume-ownership service is correct and necessary. This ensures that the volume ownership is set properly before the spiffworkflow-backend service starts, which is crucial for the proper functioning of the application.


Line range hint 1-85: Summary: PR objectives achieved with minor suggestions for optimization

This PR successfully addresses the objective of ensuring that the RUN_AS ownership applies to the DB's named volume. The implementation:

  1. Adds a new match-volume-ownership service to set the correct ownership of the volume.
  2. Updates the spiffworkflow-backend service to depend on the new service.

These changes should resolve the issue mentioned in the previous PR (#2096). The implementation is correct and should work as intended, aligning with the author's statement that it has been tested locally.

Minor optimizations have been suggested for the match-volume-ownership service, but these are not critical for the functionality. The current implementation is approved and ready for merging, pending any final thoughts from @burnettk or other reviewers.

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Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)
docker-compose.yml (1)

16-24: LGTM! Consider adding a comment about the RUN_AS variable.

The new match-volume-ownership service is well-implemented to ensure proper ownership of the database volume. It correctly uses the RUN_AS environment variable and sets up the volume mapping consistently with the spiffworkflow-backend service.

Consider adding a comment explaining the default value of RUN_AS, similar to the one in the spiffworkflow-backend service:

  match-volume-ownership:
    image: alpine
    restart: "no"
    entrypoint: |
+     # Use RUN_AS if set, otherwise default to root (0:0)
      /bin/sh -c "chown ${RUN_AS:-0:0} /app/db_volume"
    volumes:
      - spiffworkflow_backend_db:/app/db_volume:rw

This addition would improve consistency and clarity across the configuration.

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📥 Commits

Files that changed from the base of the PR and between 27cc521 and 7a8f8a9.

📒 Files selected for processing (1)
  • docker-compose.yml (1 hunks)
🔇 Additional comments (2)
docker-compose.yml (2)

32-34: LGTM! Dependency on match-volume-ownership is correctly implemented.

The addition of the depends_on clause with the service_completed_successfully condition ensures that the spiffworkflow-backend service starts only after the volume ownership has been properly set. This implementation aligns perfectly with the PR objective.


Line range hint 1-85: Overall, the changes effectively address the PR objective.

The modifications to the docker-compose.yml file successfully implement a solution to ensure that the RUN_AS ownership applies to the DB's named volume. The new match-volume-ownership service and the updated dependency in the spiffworkflow-backend service work together to achieve this goal without introducing unnecessary complexity.

These changes should resolve the issue while maintaining the flexibility of the RUN_AS environment variable. The implementation is clean, efficient, and aligns well with Docker best practices.

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