Tr/parallel calls #644

mrT23 · 2024-02-07T06:13:58Z

Type

enhancement

Description

Introduced parallel processing for AI predictions in the PR code suggestions tool, improving performance.
Added a new asyncio import to enable asynchronous operations.
Modified methods to support and utilize the new parallel processing feature based on the parallel_calls configuration.
Introduced a new configuration option parallel_calls in configuration.toml to toggle parallel processing of AI predictions.

Changes walkthrough

Relevant files

Enhancement

pr_code_suggestions.py `Enhance AI Prediction Processing with Parallel Calls` pr_agent/tools/pr_code_suggestions.py Introduced `asyncio` for parallel execution. Modified `_prepare_prediction` and `_get_prediction` methods to support parallel processing of AI predictions. Added parallel processing of AI predictions in `_prepare_prediction_extended` method based on a new configuration setting.	+17/-12

Configuration changes

configuration.toml `Add Configuration Option for Parallel AI Prediction Calls` pr_agent/settings/configuration.toml Added a new configuration option `parallel_calls` to enable parallel processing of AI predictions.	+2/-1

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codiumai-pr-agent-pro · 2024-02-07T06:14:26Z

PR Description updated to latest commit (b077873)

codiumai-pr-agent-pro · 2024-02-07T06:14:44Z

PR Analysis

🎯 Main theme: Enhancement of AI prediction calls with parallel execution support
📝 PR summary: This PR introduces asyncio for asynchronous operations, enhancing the performance of AI prediction calls. It refactors prediction methods for better readability and maintainability. It also implements parallel execution of AI prediction calls when 'parallel_calls' is set to 'true', significantly reducing the time required for processing multiple predictions. A new configuration option 'parallel_calls' is added to enable or disable parallel AI prediction calls.
📌 Type of PR: Enhancement
🧪 Relevant tests added: No
⏱️ Estimated effort to review [1-5]: 3, because the PR involves changes to core functionality and introduces parallelism, which requires careful review to ensure correct implementation. However, the changes are not extensive and are well explained.
🔒 Security concerns: No

PR Feedback

💡 General suggestions: The changes made in this PR are well structured and the use of asyncio for parallel execution is a good approach to improve performance. However, it would be beneficial to add some error handling or fallback mechanism in case the parallel execution fails. Also, it would be good to add some tests to ensure the new functionality works as expected.

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codiumai-pr-agent-pro · 2024-02-07T06:15:42Z

PR Code Suggestions

Suggestions

enhancement

Use list comprehension for appending predictions in non-parallel execution.

Consider using a list comprehension for more concise and readable code when appending
predictions to prediction_list in the non-parallel execution path.

pr_agent/tools/pr_code_suggestions.py [241-244]

-for i, patches_diff in enumerate(patches_diff_list):
-    get_logger().info(f"Processing chunk {i + 1} of {len(patches_diff_list)}")
-    prediction = await self._get_prediction(model, patches_diff)
-    prediction_list.append(prediction)
+prediction_list = [await self._get_prediction(model, patches_diff) for patches_diff in patches_diff_list]

best practice

Add exception handling for parallel tasks. To ensure that exceptions in parallel tasks are handled properly, consider wrapping the `asyncio.gather` call with a try-except block. pr_agent/tools/pr_code_suggestions.py [236] -prediction_list = await asyncio.gather([self._get_prediction(model, patches_diff) for patches_diff in patches_diff_list]) +try: + prediction_list = await asyncio.gather([self._get_prediction(model, patches_diff) for patches_diff in patches_diff_list]) +except Exception as e: + get_logger().error(f"Error getting predictions: {e}") + raise
Use `.update()` for dictionary updates. Instead of manually updating the `variables` dictionary with the `patches_diff`, consider using the `.update()` method for clarity and potential future extensions. pr_agent/tools/pr_code_suggestions.py [126] -variables["diff"] = patches_diff # update diff +variables.update({"diff": patches_diff})

maintainability

Dynamically fetch configuration settings. For better scalability and to avoid hardcoding the configuration keys, consider fetching the configuration settings (`parallel_calls`, `max_number_of_calls`) dynamically within the function. pr_agent/tools/pr_code_suggestions.py [234] -if get_settings().pr_code_suggestions.parallel_calls: +settings = get_settings().pr_code_suggestions +if settings.parallel_calls:
Document new configuration options. Consider documenting the new configuration options (`parallel_calls`, `rank_extended_suggestions`) in the configuration file to improve maintainability and usability for new users. pr_agent/settings/configuration.toml [86-87] +# Enable parallel calls for AI predictions. Improves performance but requires more resources. parallel_calls = true +# Rank extended suggestions based on certain criteria. Currently disabled. rank_extended_suggestions = false

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sprihagautam12 · 2024-02-08T08:29:42Z

Preparing review...

mrT23 · 2024-02-08T15:26:13Z

Preparing review...

mrT23 · 2024-02-08T15:44:31Z

Persistent review updated to latest commit b077873

mrT23 · 2024-02-08T15:48:31Z

Persistent review updated to latest commit b077873

mrT23 · 2024-02-08T15:51:40Z

Persistent review updated to latest commit b077873

mrT23 · 2024-02-08T15:55:18Z

Persistent review updated to latest commit b077873

mrT23 · 2024-02-08T15:57:54Z

Persistent review updated to latest commit b077873

mrT23 · 2024-02-08T16:18:10Z

Persistent review updated to latest commit b077873

mrT23 · 2024-02-09T09:23:27Z

PR Review

(review updated until commit `b077873`)

PR feedback
⏱️ Estimated effort to review [1-5]	2, because the changes are focused on introducing asynchronous operations and refactoring for better readability. The logic seems straightforward, but understanding the asynchronous flow and ensuring it works as expected with the rest of the system might require some effort.
🧪 Relevant tests added	No
🔍 Possible issues	Yes, while the introduction of `asyncio` and parallel execution can significantly improve performance, it also introduces complexity. There's a potential issue with error handling in asynchronous calls that isn't addressed. If one of the `asyncio.gather` calls fails, it might not be clear how the system will handle it. Additionally, the change from instance variable `self.patches_diff` to local variable `patches_diff` could impact other methods if they rely on `self.patches_diff`.
🔒 Security concerns	No

✨ Usage guide:

Overview:
The review tool scans the PR code changes, and generates a PR review. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR.
When commenting, to edit configurations related to the review tool (pr_reviewer section), use the following template:

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With a configuration file, use the following template:

[pr_reviewer]
some_config1=...
some_config2=...

Utilizing extra instructions The `review` tool can be configured with extra instructions, which can be used to guide the model to a feedback tailored to the needs of your project. Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify the relevant sub-tool, and the relevant aspects of the PR that you want to emphasize. Examples for extra instructions: `[pr_reviewer] # /review # extra_instructions=""" In the 'general suggestions' section, emphasize the following: - Does the code logic cover relevant edge cases? - Is the code logic clear and easy to understand? - Is the code logic efficient? ... """` Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable.
How to enable\disable automation When you first install PR-Agent app, the default mode for the `review` tool is: `pr_commands = ["/review", ...]` meaning the `review` tool will run automatically on every PR, with the default configuration. Edit this field to enable/disable the tool, or to change the used configurations
Auto-labels The `review` tool can auto-generate two specific types of labels for a PR: a `possible security issue` label, that detects possible security issues (`enable_review_labels_security` flag) a `Review effort [1-5]: x` label, where x is the estimated effort to review the PR (`enable_review_labels_effort` flag)
Extra sub-tools The `review` tool provides a collection of possible feedbacks about a PR. It is recommended to review the possible options, and choose the ones relevant for your use case. Some of the feature that are disabled by default are quite useful, and should be considered for enabling. For example: `require_score_review`, `require_soc2_ticket`, and more.
Auto-approve PRs By invoking: `/review auto_approve` The tool will automatically approve the PR, and add a comment with the approval. To ensure safety, the auto-approval feature is disabled by default. To enable auto-approval, you need to actively set in a pre-defined configuration file the following: `[pr_reviewer] enable_auto_approval = true` (this specific flag cannot be set with a command line argument, only in the configuration file, committed to the repository) You can also enable auto-approval only if the PR meets certain requirements, such as that the `estimated_review_effort` is equal or below a certain threshold, by adjusting the flag: `[pr_reviewer] maximal_review_effort = 5`
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mrT23 · 2024-02-09T09:25:06Z

Persistent review updated to latest commit b077873

Tr/parallel calls

hussam789 · 2024-02-17T21:06:27Z

/describe

codiumai-pr-agent-pro · 2024-02-17T21:06:48Z

PR Description updated to latest commit (b077873)

Copy walkthrough table to "Files Changed" Tab

codiumai-pr-agent-pro · 2024-02-17T21:08:06Z

pr_agent/settings/configuration.toml

Changes walkthrough

Relevant files
Enhancement

pr_code_suggestions.py ^(+17/-12)
Enhance AI Prediction Processing with Parallel Calls

pr_agent/tools/pr_code_suggestions.py

Introduced asyncio for parallel execution.

Modified _prepare_prediction and _get_prediction methods to support
parallel processing of AI predictions.

Added parallel processing of AI predictions in
_prepare_prediction_extended method based on a new configuration
setting.

Configuration changes

configuration.toml ^(+2/-1)
Add Configuration Option for Parallel AI Prediction Calls

pr_agent/settings/configuration.toml

Added a new configuration option parallel_calls to enable parallel
processing of AI predictions.

mrT23 added 2 commits February 7, 2024 08:00

parallel_calls

a7ce2b1

parallel_calls

b077873

codiumai-pr-agent-pro bot added the enhancement New feature or request label Feb 7, 2024

codiumai-pr-agent-pro bot added the Review effort [1-5]: 3 label Feb 7, 2024

okotek approved these changes Feb 7, 2024

View reviewed changes

mrT23 merged commit e4f1779 into main Feb 7, 2024
2 checks passed

mrT23 deleted the tr/parallel_calls branch February 7, 2024 18:29

mrT23 added Review effort [1-5]: 2 and removed Review effort [1-5]: 3 labels Feb 8, 2024

yochail pushed a commit to yochail/pr-agent that referenced this pull request Feb 11, 2024

Merge pull request Codium-ai#644 from Codium-ai/tr/parallel_calls

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Tr/parallel calls

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