Closed sweep-ai[bot] closed 7 months ago
PR Description updated to latest commit (https://github.com/blazickjp/GPT-CodeApp/commit/8eafa2945501da8fed7759779595d904cde6f903)
โฑ๏ธ Estimated effort to review [1-5] | 2, because the PR is focused on adding type annotations and refactoring parameters, which are generally straightforward changes. However, the accidental addition of repeated docstring blocks in the `query` method requires attention. |
๐งช Relevant tests | No |
๐ Possible issues | Repeated Docstring: The `query` method contains repeated docstring blocks that seem to have been added by mistake. This could lead to confusion and clutter in the codebase. |
๐ Security concerns | No |
relevant file | backend/agent/coding_agent.py |
suggestion | Remove the repeated docstring blocks in the `query` method. Having multiple identical docstring blocks is likely an error and could confuse developers or automated documentation tools. [important] |
relevant line | """ |
relevant file | backend/agent/coding_agent.py |
suggestion | Consider adding type hints for the return type of the `__init__` method. While `__init__` typically returns `None`, explicitly adding a return type of `-> None` can improve clarity and consistency with the type-annotated codebase. [medium] |
relevant line | codebase (Optional[MyCodebase]): The codebase associated with the agent. |
Utilizing extra instructionsThe `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 'possible issues' 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](https://github.com/Codium-ai/pr-agent/blob/main/Usage.md#github-app-automatic-tools) 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-labelsThe `review` tool can auto-generate two specific types of labels for a PR: - a `possible security issue` label, that detects possible [security issues](https://github.com/Codium-ai/pr-agent/blob/tr/user_description/pr_agent/settings/pr_reviewer_prompts.toml#L136) (`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-toolsThe `review` tool provides a collection of possible feedbacks about a PR. It is recommended to review the [possible options](https://github.com/Codium-ai/pr-agent/blob/main/docs/REVIEW.md#enabledisable-features), 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 PRsBy 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 ``` |
More PR-Agent commands> To invoke the PR-Agent, add a comment using one of the following commands: > - **/review**: Request a review of your Pull Request. > - **/describe**: Update the PR title and description based on the contents of the PR. > - **/improve [--extended]**: Suggest code improvements. Extended mode provides a higher quality feedback. > - **/ask \ |
Category | Suggestions |
Maintainability |
Remove duplicate docstrings in the
___
**It seems that the docstring has been mistakenly duplicated three times in the |
Bug |
Import
___
**The |
Import
___
**The |
Enabling\disabling automationWhen you first install the app, the [default mode](https://github.com/Codium-ai/pr-agent/blob/main/Usage.md#github-app-automatic-tools) for the improve tool is: ``` pr_commands = ["/improve --pr_code_suggestions.summarize=true", ...] ``` meaning the `improve` tool will run automatically on every PR, with summarization enabled. Delete this line to disable the tool from running automatically. |
Utilizing extra instructionsExtra instructions are very important for the `improve` tool, since they enable to guide the model to suggestions that are more relevant to the specific needs of the project. Be specific, clear, and concise in the instructions. With extra instructions, you are the prompter. Specify relevant aspects that you want the model to focus on. Examples for extra instructions: ``` [pr_code_suggestions] # /improve # extra_instructions=""" Emphasize the following aspects: - 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. |
A note on code suggestions quality- While the current AI for code is getting better and better (GPT-4), it's not flawless. Not all the suggestions will be perfect, and a user should not accept all of them automatically. - Suggestions are not meant to be simplistic. Instead, they aim to give deep feedback and raise questions, ideas and thoughts to the user, who can then use his judgment, experience, and understanding of the code base. - Recommended to use the 'extra_instructions' field to guide the model to suggestions that are more relevant to the specific needs of the project, or use the [custom suggestions :gem:](https://github.com/Codium-ai/pr-agent/blob/main/docs/CUSTOM_SUGGESTIONS.md) tool - With large PRs, best quality will be obtained by using 'improve --extended' mode. |
More PR-Agent commands> To invoke the PR-Agent, add a comment using one of the following commands: > - **/review**: Request a review of your Pull Request. > - **/describe**: Update the PR title and description based on the contents of the PR. > - **/improve [--extended]**: Suggest code improvements. Extended mode provides a higher quality feedback. > - **/ask \ |
User description
PR Feedback (click)
I created this PR to address this rule:
"Add type annotations to all functions."
Description
This PR adds type annotations to the
__init__
andquery
methods in theCodingAgent
class in thecoding_agent.py
file. The type annotations improve code readability and help with static type checking.Summary of Changes
__init__
method in theCodingAgent
class.query
method in theCodingAgent
class.Please review and merge these changes.
Type
enhancement
Description
__init__
method parameters inCodingAgent
to usefunction_map
andcodebase
for better clarity and type annotations.query
method, which seems to be an error.Changes walkthrough
coding_agent.py
Enhance CodingAgent with Type Annotations and Parameter Refactoring
backend/agent/coding_agent.py
functions
tofunction_map
with a dictionary type in__init__
.callables
parameter withcodebase
of typeMyCodebase
in__init__
.query
method by mistake.