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fix: trying garbage collection in celery post-run #75

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merged 1 commit into from
Jun 26, 2024

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@amindadgar amindadgar commented Jun 26, 2024

might not change anything but worth trying.

Summary by CodeRabbit

  • New Features
    • Implemented automatic garbage collection after each task execution to improve performance and resource management.

might not change anything but worth trying.
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coderabbitai bot commented Jun 26, 2024

Walkthrough

The recent update in the project involves implementing a feature that enhances the performance and memory management of Celery tasks. A new function has been introduced to handle the task_postrun signal, which triggers garbage collection after each task execution in the celery_app/tasks.py file. This ensures that memory is efficiently cleaned up, potentially reducing memory leaks and improving overall system stability.

Changes

Files Change Summary
celery_app/tasks.py Added import for task_postrun from celery.signals and defined a new function task_postrun_handler to trigger garbage collection after each task execution.

Poem

🐇✨
In the field where servers play,
Tasks are done, then cleared away,
Garbage gone, in each small run,
Cleaner pastures, for everyone.
With every hop, a brighter day,
Celery hums—a dance in May.
🌼💻


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@amindadgar amindadgar changed the title feat: trying garbage collection in celery post-run fix: trying garbage collection in celery post-run Jun 26, 2024
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Actionable comments posted: 1

Outside diff range and nitpick comments (1)
celery_app/tasks.py (1)

127-129: Evaluate the performance impact of frequent garbage collection.

While adding gc.collect() in task_postrun_handler can potentially help with memory management, it might also introduce performance overhead if triggered too frequently. Consider monitoring the performance metrics before and after this change to evaluate its impact.

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 9fac4d1 and 195873c.

Files selected for processing (1)
  • celery_app/tasks.py (2 hunks)

@@ -4,6 +4,7 @@
import os
from typing import Any

from celery.signals import task_postrun
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Tip

Codebase Verification

Ensure robust exception handling and environment configuration.

The environment variable TRACELOOP_BASE_URL is used directly in celery_app/tasks.py without validation. To avoid potential runtime errors, please add proper checks to validate this environment variable before using it.

  • File: celery_app/tasks.py
  • Line: otel_endpoint = os.getenv("TRACELOOP_BASE_URL")
Analysis chain

Ensure robust exception handling and environment configuration.

Given the complexity of ask_question_auto_search, which interacts with external services, it's crucial to ensure that all potential points of failure are gracefully handled. Additionally, consider validating the environment variables (TRACELOOP_BASE_URL) before use to avoid runtime errors.

Scripts executed

The following scripts were executed for the analysis:


Script:

#!/bin/bash
# Description: Verify that all environment variables are validated before use.

# Test: Search for the environment variable usage. Expect: Proper checks before usage.
rg --type python $'os.getenv("TRACELOOP_BASE_URL")'

Length of output: 83



Script:

#!/bin/bash
# Description: Verify that all environment variables are validated before use.

# Test: Search for the environment variable usage. Expect: Proper checks before usage.
rg --type py 'os.getenv("TRACELOOP_BASE_URL")'

Length of output: 48



Script:

#!/bin/bash
# Description: Verify that all environment variables are validated before use.

# Test: Search for all environment variable usage. Expect: Proper checks before usage.
rg --type py 'os.getenv'

Length of output: 1825



Script:

#!/bin/bash
# Description: Verify that environment variable TRACELOOP_BASE_URL is validated before use.

# Test: Search for the usage of TRACELOOP_BASE_URL and check for validation or error handling mechanisms.
rg --context 5 'os.getenv("TRACELOOP_BASE_URL")' celery_app/tasks.py

Length of output: 70



Script:

#!/bin/bash
# Description: Directly output the relevant lines in celery_app/tasks.py where TRACELOOP_BASE_URL is used.

# Test: Search for the usage of TRACELOOP_BASE_URL in celery_app/tasks.py.
rg 'TRACELOOP_BASE_URL' celery_app/tasks.py -A 5 -B 5

Length of output: 491

@amindadgar amindadgar merged commit 361b486 into main Jun 26, 2024
16 checks passed
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