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fix: trying librabbitmq for celery backend! #77
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WalkthroughThe primary changes involve switching the Celery broker from Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant Worker
participant RabbitMQ as RabbitMQ Server
Note over Client, Worker: Updated Workflow
Client->>Worker: ask_question_auto_search.delay(...)
Worker->>RabbitMQ: Send task to queue (librabbitmq)
RabbitMQ-->>Worker: Task fetch by worker
Worker->>Worker: Execute task
Worker->>Worker: result.forget()
Note over Client, Worker: Task result is forgotten to free resources
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Actionable comments posted: 0
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (2)
- celery_app/server.py (1 hunks)
- worker.py (1 hunks)
Additional comments not posted (2)
celery_app/server.py (1)
10-12
: Ensure compatibility and stability withlibrabbitmq
.Switching the broker from
pyamqp
tolibrabbitmq
could offer performance improvements, but it's crucial to verify that all existing functionalities are compatible withlibrabbitmq
. This includes testing in the intended deployment environment.worker.py (1)
35-41
: Good practice to release memory, but ensure it's necessary.Assigning the task result to
result
and subsequently callingresult.forget()
is a good practice to manage memory in long-running applications. However, it's important to confirm that this memory management step is necessary in this context. If the task results are not large or if they are not causing memory issues, this step might be unnecessary.
Summary by CodeRabbit
New Features
librabbitmq
.Bug Fixes