Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

message-start-event-async-fix #1191

Merged
merged 1 commit into from
Mar 11, 2024
Merged

message-start-event-async-fix #1191

merged 1 commit into from
Mar 11, 2024

Conversation

jasquat
Copy link
Contributor

@jasquat jasquat commented Mar 11, 2024

This updates the message start event call to run do_engine_steps even in async mode to ensure tasks are committed to the db properly.

Summary by CodeRabbit

  • New Features
    • Introduced a new decision-making functionality to better determine when process instances should be queued for execution.
  • Refactor
    • Improved process queuing logic by integrating a new decision function, enhancing system efficiency and task handling.

…sure tasks are committed to the db properly w/ burnettk
Copy link
Contributor

coderabbitai bot commented Mar 11, 2024

Walkthrough

Walkthrough

The recent update introduces a new function to assess whether a process instance should be queued for execution, enhancing decision-making capabilities. This function is now integral to the queuing logic, refining the process by replacing previous methods. Additionally, adjustments in message service handling align with this new approach, streamlining the start process and updating task management based on the queuing eligibility determined by the newly added function.

Changes

File Path Changes
.../background_processing/celery_tasks/process_instance_task_producer.py Introduced should_queue_process_instance function for evaluating queuing eligibility. Refactored queue_process_instance_if_appropriate to use this new function.
.../services/message_service.py Imported should_queue_process_instance. Modified start_process_with_message by removing execution_mode parameter. Updated process_message_receive logic to utilize the new queuing evaluation function.

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>.
    • Generate unit-tests for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit tests for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @coderabbitai read src/utils.ts and generate unit tests.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger a review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • The JSON schema for the configuration file is available here.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/coderabbit-overrides.v2.json

CodeRabbit Discord Community

Join our Discord Community to get help, request features, and share feedback.

@jasquat jasquat merged commit 816d060 into main Mar 11, 2024
20 checks passed
@jasquat jasquat deleted the message-start-event-async-fix branch March 11, 2024 21:26
Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Review Status

Actionable comments generated: 0

Configuration used: .coderabbit.yaml

Commits Files that changed from the base of the PR and between f69bcce and 2121ea1.
Files selected for processing (2)
  • spiffworkflow-backend/src/spiffworkflow_backend/background_processing/celery_tasks/process_instance_task_producer.py (2 hunks)
  • spiffworkflow-backend/src/spiffworkflow_backend/services/message_service.py (5 hunks)
Additional comments: 5
spiffworkflow-backend/src/spiffworkflow_backend/background_processing/celery_tasks/process_instance_task_producer.py (2)
  • 17-35: The should_queue_process_instance function introduces a more granular approach to determining whether a process instance should be queued for execution. This function checks the execution mode and whether queuing is enabled for the process model. A few points to consider:
  1. Error Handling: The function raises an ApiError if the execution mode is asynchronous but queuing is not enabled. This is a good practice as it provides clear feedback to the caller about misconfiguration.
  2. Performance: The function performs an enum check for execution_mode which is efficient. However, ensure that the queue_enabled_for_process_model function is optimized for performance since it's called every time this function is invoked.
  3. Maintainability: The function is well-structured and uses clear, descriptive variable names, making it easy to understand and maintain.

Overall, the implementation seems solid. However, it's important to ensure that all callers of this function properly handle the potential ApiError to avoid uncaught exceptions in the application.

  • 60-60: The refactor of queue_process_instance_if_appropriate to utilize the should_queue_process_instance function for determining queuing eligibility is a positive change. It simplifies the decision-making process and centralizes the logic for determining whether a process instance should be queued. This enhances maintainability and ensures consistency in how queuing decisions are made across the application.

However, it's crucial to ensure that all existing calls to this function have been reviewed and updated if necessary to align with the new logic introduced by should_queue_process_instance. Additionally, consider adding unit tests to cover various scenarios, including different execution modes and configurations, to ensure the function behaves as expected under all conditions.

spiffworkflow-backend/src/spiffworkflow_backend/services/message_service.py (3)
  • 11-11: The import of should_queue_process_instance aligns with the PR's objective to utilize this new function for determining queuing eligibility in the message service logic. This change is a step towards centralizing and streamlining the decision-making process for queuing process instances, which is a positive development for maintainability and consistency across the application.
  • 70-70: The removal of the execution_mode parameter from the start_process_with_message method is not explicitly shown in the provided code, but it's mentioned in the AI-generated summary. Assuming this change has been made, it simplifies the method signature and aligns with the PR's objective to streamline process initiation via message events.

However, it's crucial to ensure that all calls to this method throughout the codebase have been updated to reflect this change. Removing a parameter can lead to runtime errors if not all usages have been accounted for. Additionally, consider the impact of this change on the flexibility of the method. If the execution_mode was previously used to alter the behavior of this method, ensure that its removal does not limit the method's applicability or necessitate future modifications to reintroduce similar functionality.

Verification successful

The absence of output from the ast-grep command suggests that there are no calls to start_process_with_message with three arguments, indicating that the codebase has been correctly updated to reflect the removal of the execution_mode parameter. This aligns with the PR's objective to streamline process initiation via message events, and it appears that all necessary updates have been made to accommodate this change.

Scripts Executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Search for calls to start_process_with_message to ensure they've been updated.
ast-grep --lang python --pattern $'MessageService.start_process_with_message($_, $_, $_)'
# Expecting no results, indicating that all calls have been updated to the new signature.

Length of output: 90

* 211-215: The update to the `process_message_receive` method to incorporate `should_queue_process_instance` for determining queuing eligibility and handling task updates is a significant improvement. It aligns with the PR's objectives to refine how message events trigger process instances and to adopt a more streamlined and condition-based approach.

A few points to consider:

  1. Correctness: Ensure that the logic correctly handles all scenarios, especially the transition between different execution modes and the implications of queuing or not queuing a process instance.
  2. Error Handling: The use of should_queue_process_instance introduces potential ApiError exceptions. Ensure that these are appropriately handled within this context to avoid uncaught exceptions.
  3. Performance: The call to do_engine_steps with save=True and specific execution strategies based on the queuing decision is crucial. Ensure that this does not introduce performance bottlenecks, especially in high-throughput environments.

Overall, these changes seem to align well with the PR's objectives and should contribute positively to the system's ability to handle asynchronous events more effectively.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

1 participant