Enhancements in Patch Formatting and Code Suggestions Handling

[mrT23]

Type

Enhancement

---

Description

• Improved the formatting of patches in git_patch_processing.py and pr_processing.py.
• Added a new condition in pr_processing.py to try a single run with standard diff string, patch extension, and no deletions.
• Improved the handling of empty data in the ranking of suggestions in pr_code_suggestions.py.
• Updated the example PR Diff format and added a new 'language' field to the models in the settings files.

---

Changes walkthrough

	Relevant files
Formatting	git_patch_processing.py Improved Patch Formatting                                                                                pr_agent/algo/git_patch_processing.py Modified the patch formatting to include the filename in a more explicit manner. Improved the formatting of new and old hunk sections in the patch. +5/-5
Enhancement	pr_processing.py Patch Processing Enhancements                                                                        pr_agent/algo/pr_processing.py Updated the formatting of the final patch. Added a new condition to try a single run with standard diff string, patch extension, and no deletions. +9/-2      pr_code_suggestions.py Code Suggestions Improvement                                                                          pr_agent/tools/pr_code_suggestions.py Added conditions to handle empty data in the ranking of suggestions. Comment added to indicate future parallelization of prediction generation. +6/-1
Documentation	pr_add_docs.toml Documentation Update                                                                                          pr_agent/settings/pr_add_docs.toml Updated the example PR Diff format to match the new formatting. +2/-3      pr_code_suggestions_prompts.toml Code Suggestions Prompts Update                                                                    pr_agent/settings/pr_code_suggestions_prompts.toml Updated the example PR Diff format and added a new 'language' field to the CodeSuggestion model. +5/-8      pr_description_prompts.toml PR Description Prompts Update                                                                        pr_agent/settings/pr_description_prompts.toml Added a new 'language' field to the FileDescription model. +3/-3      pr_reviewer_prompts.toml PR Reviewer Prompts Update                                                                              pr_agent/settings/pr_reviewer_prompts.toml Updated the example PR Diff format and added a new 'language' field to the feedback schema. +7/-7

---

✨ Usage guide:

---

Overview:
The describe tool scans the PR code changes, and generates a description for the PR - title, type, summary, walkthrough and labels. The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on a PR.

When commenting, to edit configurations related to the describe tool (pr_description section), use the following template:

/describe --pr_description.some_config1=... --pr_description.some_config2=...

With a configuration file, use the following template:

[pr_description]
some_config1=...
some_config2=...

Enabling\disabling automation When you first install the app, the default mode for the describe tool is: pr_commands = ["/describe --pr_description.add_original_user_description=true" "--pr_description.keep_original_user_title=true", ...] meaning the describe tool will run automatically on every PR, will keep the original title, and will add the original user description above the generated description. Markers are an alternative way to control the generated description, to give maximal control to the user. If you set: pr_commands = ["/describe --pr_description.use_description_markers=true", ...] the tool will replace every marker of the form pr_agent:marker_name in the PR description with the relevant content, where marker_name is one of the following: type: the PR type. summary: the PR summary. walkthrough: the PR walkthrough. Note that when markers are enabled, if the original PR description does not contain any markers, the tool will not alter the description at all.

Custom labels The default labels of the describe tool are quite generic: [Bug fix, Tests, Enhancement, Documentation, Other]. If you specify custom labels in the repo's labels page or via configuration file, you can get tailored labels for your use cases. Examples for custom labels: Main topic:performance - pr_agent:The main topic of this PR is performance New endpoint - pr_agent:A new endpoint was added in this PR SQL query - pr_agent:A new SQL query was added in this PR Dockerfile changes - pr_agent:The PR contains changes in the Dockerfile ... The list above is eclectic, and aims to give an idea of different possibilities. Define custom labels that are relevant for your repo and use cases. Note that Labels are not mutually exclusive, so you can add multiple label categories. Make sure to provide proper title, and a detailed and well-phrased description for each label, so the tool will know when to suggest it.

Inline File Walkthrough 💎 For enhanced user experience, the describe tool can add file summaries directly to the "Files changed" tab in the PR page. This will enable you to quickly understand the changes in each file, while reviewing the code changes (diffs). To enable inline file summary, set pr_description.inline_file_summary in the configuration file, possible values are: 'table': File changes walkthrough table will be displayed on the top of the "Files changed" tab, in addition to the "Conversation" tab. true: A collapsable file comment with changes title and a changes summary for each file in the PR. false (default): File changes walkthrough will be added only to the "Conversation" tab.

Utilizing extra instructions The describe tool can be configured with extra instructions, 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. Notice that the general structure of the description is fixed, and cannot be changed. Extra instructions can change the content or style of each sub-section of the PR description. Examples for extra instructions: [pr_description] extra_instructions=""" - The PR title should be in the format: '<PR type>: <title>' - The title should be short and concise (up to 10 words) - ... """ Use triple quotes to write multi-line instructions. Use bullet points to make the instructions more readable.

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 <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the describe usage page for a comprehensive guide on using this tool.

[codiumai-pr-agent-pro]

PR Description updated to latest commit (6565556)

[codiumai-pr-agent-pro]

PR Analysis

(review updated until commit 15c8fe9)

• 🎯 Main theme: Enhancements in Patch Formatting and Code Suggestions Handling
• 📝 PR summary: This PR introduces several enhancements to the PR agent. It improves the formatting of patches in git_patch_processing.py and pr_processing.py, adds a new condition in pr_processing.py to try a single run with standard diff string, patch extension, and no deletions, and improves the handling of empty data in the ranking of suggestions in pr_code_suggestions.py. Additionally, it updates the example PR Diff format and adds a new 'language' field to the models in the settings files.
• 📌 Type of PR: Enhancement
• 🧪 Relevant tests added: No
• ⏱️ Estimated effort to review [1-5]: 3, because the PR includes changes in multiple files and introduces new logic in the code, which requires a careful review to ensure correctness and efficiency.
• 🔒 Security concerns: No security concerns found

PR Feedback

💡 General suggestions: The PR is generally well-structured and the changes are clear. However, it would be beneficial to add tests to ensure the new enhancements work as expected and do not introduce any regressions. Additionally, consider parallelizing the prediction process in pr_code_suggestions.py for better performance.

🤖 Code feedback:

---

relevant file	pr_agent/algo/pr_processing.py
suggestion	Consider adding a comment to explain the new condition added in pr_processing.py for trying a single run with standard diff string, patch extension, and no deletions. This would help other developers understand the purpose of this condition. [medium]
relevant line	if total_tokens + OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD < get_max_tokens(model):

---

relevant file	pr_agent/tools/pr_code_suggestions.py
suggestion	The comment # toDo: parallelize indicates a potential area for improvement. Consider implementing this parallelization to improve the performance of the prediction process. [important]
relevant line	prediction = await self._get_prediction(model) # toDo: parallelize

---

---

✨ 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:

/review --pr_reviewer.some_config1=... --pr_reviewer.some_config2=...

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.

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 <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the review usage page for a comprehensive guide on using this tool.

[codiumai-pr-agent-pro]

PR Code Suggestions

Suggestions

enhancement

Make the 'language' field optional and provide a default value.               The 'language' field has been added to the CodeSuggestion class. However, it's not clear whether this field is optional or required. If it's optional, it would be good to provide a default value to handle cases where the language is not provided. pr_agent/settings/pr_code_suggestions_prompts.toml [54] -language: str = Field(description="the code language of the relevant file") +language: Optional[str] = Field(default=None, description="the code language of the relevant file") Make the 'language' field optional and provide a default value.               The 'language' field has been added to the FileDescription class. Similar to the previous suggestion, it would be good to make this field optional and provide a default value. pr_agent/settings/pr_description_prompts.toml [42] -language: str = Field(description="the relevant file language") +language: Optional[str] = Field(default=None, description="the relevant file language") Make the 'language' field optional and provide a default value.               The 'language' field has been added to the PR Feedback schema. It would be good to make this field optional and provide a default value. pr_agent/settings/pr_reviewer_prompts.toml [118-120] language: type: string + default: None description: the language of the relevant file Provide an example value for the 'language' field.                            The 'language' field has been added to the example output. It would be good to provide an example value for this field. pr_agent/settings/pr_code_suggestions_prompts.toml [78] -language: |- +language: |- + python

---

✨ Usage guide:

---

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

/improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...

With a configuration file, use the following template:

[pr_code_suggestions]
some_config1=...
some_config2=...

Enabling\disabling automation When you first install the app, the default mode 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 instructions Extra 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. 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 <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the improve usage page for a more comprehensive guide on using this tool.

[mrT23]

/improve

[codiumai-pr-agent-pro]

PR Code Suggestions

	Suggestions
performance	Improve performance by using a list to store lines instead of string concatenation. Instead of using string concatenation to build the patch_with_lines_str, consider using <br> a <br> list <br> to <br> store <br> the <br> lines <br> and <br> join <br> them <br> at <br> the <br> end. <br> This <br> can <br> improve <br> the <br> performance <br> as <br> string <br> concatenation <br> in <br> a <br> loop <br> in <br> Python <br> results <br> in <br> quadratic <br> rather <br> than <br> linear <br> running <br> time. pr_agent/algo/git_patch_processing.py [204-207] -patch_with_lines_str += f'\n{prev_header_line}\n' -patch_with_lines_str = patch_with_lines_str.rstrip()+'\n__new hunk__\n' +patch_lines_list.append(f'\n{prev_header_line}\n') +patch_lines_list.append('\n__new hunk__\n') for i, line_new in enumerate(new_content_lines): - patch_with_lines_str += f"{start2 + i} {line_new}\n" + patch_lines_list.append(f"{start2 + i} {line_new}\n") +# at the end +patch_with_lines_str = ''.join(patch_lines_list)
enhancement	Consider stripping file.filename at the source if it often has leading or trailing whitespace. The strip() method is used on file.filename before it is used in the string formatting. If file.filename is expected to have leading or trailing whitespace often, it might be better to strip it once at the source, rather than each time it is used. pr_agent/algo/pr_processing.py [212] -patch_final = f"\n\n## file: '{file.filename.strip()}\n\n{patch.strip()}\n'" +# Assuming file.filename is set earlier in the code +file.filename = file.filename.strip() +# Then later on +patch_final = f"\n\n## file: '{file.filename}\n\n{patch.strip()}\n'"
maintainability	Simplify the code by combining the checks for empty or single-element data.   The if not data: and if len(suggestion_list ) == 1: checks can be combined into a single check at the start of the function, to return early if data is empty or contains only one element. This simplifies the code and reduces the level of indentation. pr_agent/algo/pr_processing.py [256-263] -if not data: - return suggestion_list +if not data or len(data) == 1: + return data for suggestion in data: suggestion_list.append(suggestion) -if len(suggestion_list ) == 1: - return suggestion_list
best practice	Simplify the if not convert_hunks_to_line_numbers: check by using a ternary operator. The if not convert_hunks_to_line_numbers: check can be simplified by using a ternary operator. This makes the code more concise. pr_agent/algo/pr_processing.py [211-214] -if not convert_hunks_to_line_numbers: - patch_final = f"\n\n## file: '{file.filename.strip()}\n\n{patch.strip()}\n'" -else: - patch_final = "\n\n" + patch.strip() +patch_final = f"\n\n## file: '{file.filename.strip()}\n\n{patch.strip()}\n'" if not convert_hunks_to_line_numbers else "\n\n" + patch.strip()

---

✨ Usage guide:

---

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

/improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...

With a configuration file, use the following template:

[pr_code_suggestions]
some_config1=...
some_config2=...

Enabling\disabling automation When you first install the app, the default mode 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 instructions Extra 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 💎 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 <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the improve usage page for a more comprehensive guide on using this tool.

[mrT23]

/review

[codiumai-pr-agent-pro]

Persistent review updated to latest commit 15c8fe9

[mrT23]

PR Code Suggestions

	Suggestions
performance	Improve performance by using a list to build strings instead of concatenation. Instead of using string concatenation to build patch_with_lines_str, consider using a <br> list <br> to <br> store <br> the <br> lines <br> and <br> join <br> them <br> at <br> the <br> end. <br> This <br> can <br> improve <br> performance <br> as <br> string <br> concatenation <br> in <br> Python <br> creates <br> a <br> new <br> string <br> and <br> is <br> therefore <br> costly <br> when <br> done <br> in <br> a <br> loop. pr_agent/algo/git_patch_processing.py [204-205] -patch_with_lines_str += f'\n{prev_header_line}\n' -patch_with_lines_str = patch_with_lines_str.rstrip()+'\n__new hunk__\n' +patch_lines_list.append(f'\n{prev_header_line}\n') +patch_lines_list.append('__new hunk__\n') +# at the end +patch_with_lines_str = ''.join(patch_lines_list)
readability	Improve code readability by stripping the filename once and reusing it.       The strip() method is used on file.filename before it is used in patch_final. To <br> improve <br> code <br> readability <br> and <br> avoid <br> potential <br> errors, <br> consider <br> stripping <br> the <br> filename <br> once <br> at <br> the <br> beginning <br> and <br> reusing <br> the <br> stripped <br> filename. pr_agent/algo/pr_processing.py [212] -patch_final = f"\n\n## file: '{file.filename.strip()}\n\n{patch.strip()}\n'" +filename_stripped = file.filename.strip() +patch_final = f"\n\n## file: '{filename_stripped}\n\n{patch.strip()}\n'" Simplify the if condition by calculating the maximum tokens once. The if condition if total_tokens + OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD < get_max_tokens(model): can be simplified by calculating the maximum tokens once and storing it in a variable. pr_agent/algo/pr_processing.py [382] -if total_tokens + OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD < get_max_tokens(model): +max_tokens = get_max_tokens(model) +if total_tokens + OUTPUT_BUFFER_TOKENS_SOFT_THRESHOLD < max_tokens:
enhancement	Improve the return statement by returning the list directly.     The return statement return ["\n".join(patches_extended)] is returning a list with a single string. If the function is expected to return a list of strings, consider returning patches_extended directly. pr_agent/algo/pr_processing.py [383] -return ["\n".join(patches_extended)] +return patches_extended Remove unnecessary checks for empty or single-element lists.                  The if not data: and if len(suggestion_list ) == 1: conditions are checking for empty or single-element lists. These checks are not necessary as the subsequent code will handle these cases correctly. pr_agent/tools/pr_code_suggestions.py [256-263] -if not data: - return suggestion_list -if len(suggestion_list ) == 1: - return suggestion_list +# Removed unnecessary checks Update the example output to include the new language field.     The language field has been added to the CodeSuggestion class. Update the example output to reflect this change. pr_agent/settings/pr_add_docs.toml [53] -language: str = Field(description="the code language of the relevant file") +language: |- + python Update the example output to include the new language field.     The language field has been added to the FileDescription class. Update the example output to reflect this change. pr_agent/settings/pr_description_prompts.toml [42] -language: str = Field(description="the relevant file language") +language: |- + python

---

✨ Usage guide:

---

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

/improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...

With a configuration file, use the following template:

[pr_code_suggestions]
some_config1=...
some_config2=...

Enabling\disabling automation When you first install the app, the default mode 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 instructions Extra 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 💎 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 <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the improve usage page for a more comprehensive guide on using this tool.

[mrT23]

Preparing suggestions...

[mrT23]

Preparing suggestions...

[mrT23]

PR Code Suggestions

	Suggestions
error handling	Add error handling for robustness.                                            Add error handling for potential exceptions when calling pr_generate_extended_diff to ensure robustness. pr_agent/algo/pr_processing.py [380-381] -patches_extended, total_tokens, patches_extended_tokens = pr_generate_extended_diff( - pr_languages, token_handler, add_line_numbers_to_hunks=True) +try: + patches_extended, total_tokens, patches_extended_tokens = pr_generate_extended_diff( + pr_languages, token_handler, add_line_numbers_to_hunks=True) +except Exception as e: + handle_error(e) # Implement appropriate error handling
performance	Improve performance by parallelizing prediction requests.                     Consider parallelizing the prediction requests to improve performance. pr_agent/tools/pr_code_suggestions.py [229] -prediction = await self._get_prediction(model) # toDo: parallelize +# Example using asyncio.gather for parallelization +predictions = await asyncio.gather(*(self._get_prediction(model) for _ in patches_diff_list))
enhancement	Improve string manipulation efficiency by using .rstrip() more effectively. Consider using .rstrip() directly on patch_with_lines_str when appending new and old hunk identifiers to avoid unnecessary string concatenation. pr_agent/algo/git_patch_processing.py [205-209] -patch_with_lines_str = patch_with_lines_str.rstrip()+'\n__new hunk__\n' -patch_with_lines_str = patch_with_lines_str.rstrip()+'\n__old hunk__\n' +patch_with_lines_str.rstrip() +patch_with_lines_str += '\n__new hunk__\n' +patch_with_lines_str.rstrip() +patch_with_lines_str += '\n__old hunk__\n'
maintainability	Simplify conditional checks for returning early in rank_suggestions. Simplify the return logic for rank_suggestions by directly returning the suggestion_list if it's empty or contains only one item. pr_agent/tools/pr_code_suggestions.py [256-263] -if not data: - return suggestion_list -if len(suggestion_list ) == 1: +if not data or len(suggestion_list) == 1: return suggestion_list
best practice	Standardize string quotation marks for consistency.                           Ensure consistent use of single or double quotes for strings throughout your code for better readability. pr_agent/algo/pr_processing.py [212-214] -patch_final = f"\n\n## file: '{file.filename.strip()}\n\n{patch.strip()}\n'" -patch_final = "\n\n" + patch.strip() +patch_final = f'\n\n## file: "{file.filename.strip()}\n\n{patch.strip()}\n"' +patch_final = '\n\n' + patch.strip()

---

✨ Usage guide:

---

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

/improve --pr_code_suggestions.some_config1=... --pr_code_suggestions.some_config2=...

With a configuration file, use the following template:

[pr_code_suggestions]
some_config1=...
some_config2=...

Enabling\disabling automation When you first install the app, the default mode 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 instructions Extra 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 💎 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 <QUESTION>: Ask a question about the PR. /update_changelog: Update the changelog based on the PR's contents. /add_docs 💎: Generate docstring for new components introduced in the PR. /generate_labels 💎: Generate labels for the PR based on the PR's contents. /analyze 💎: Automatically analyzes the PR, and presents changes walkthrough for each component. See the tools guide for more details. To list the possible configuration parameters, add a /config comment.

See the improve usage page for a more comprehensive guide on using this tool.

[mrT23]

Preparing suggestions...

[mrT23]

/analyze

[codiumai-pr-agent-pro]

PR Analysis

• This screen contains a list of code components that were changed in this PR.
• You can initiate specific actions for each component, by checking the relevant boxes.
• After you check a box, the action will be performed automatically by PR-Agent.
• Results will appear as a comment on the PR, typically after 30-60 seconds.

file	Changed components
git_patch_processing.py	Test Docs Improve   convert_to_hunks_with_lines_numbers (function)   +6/-6
pr_processing.py	Test Docs Improve   pr_generate_compressed_diff (function)   +3/-3   Test Docs Improve   get_pr_multi_diffs (function)   +8/-1
pr_code_suggestions.py	Test Docs Improve   _prepare_prediction_extended (method of PRCodeSuggestions)   +2/-2   Test Docs Improve   rank_suggestions (method of PRCodeSuggestions)   +6/-1

---

✨ Usage guide:

---

Using static code analysis capabilities, the analyze tool scans the PR code changes and find the code components (methods, functions, classes) that changed in the PR.
The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR:

/analyze

Language that are currently supported: Python, Java, C++, JavaScript, TypeScript.
See more information about the tool in the docs.

[mrT23]

/analyze

[codiumai-pr-agent-pro]

PR Analysis

• This screen contains a list of code components that were changed in this PR.
• You can initiate specific actions for each component, by checking the relevant boxes.
• After you check a box, the action will be performed automatically by PR-Agent.
• Results will appear as a comment on the PR, typically after 30-60 seconds.

file	Changed components
git_patch_processing.py	Test Docs Improve   convert_to_hunks_with_lines_numbers (function)   +6/-6
pr_processing.py	Test Docs Improve   pr_generate_compressed_diff (function)   +3/-3   Test Docs Improve   get_pr_multi_diffs (function)   +8/-1
pr_code_suggestions.py	Test Docs Improve   _prepare_prediction_extended (method of PRCodeSuggestions)   +2/-2   Test Docs Improve   rank_suggestions (method of PRCodeSuggestions)   +6/-1

---

✨ Usage guide:

---

Using static code analysis capabilities, the analyze tool scans the PR code changes and find the code components (methods, functions, classes) that changed in the PR.
The tool can be triggered automatically every time a new PR is opened, or can be invoked manually by commenting on any PR:

/analyze

Language that are currently supported: Python, Java, C++, JavaScript, TypeScript.
See more information about the tool in the docs.

[codiumai-pr-agent-pro]

Generated docstring for 'convert_to_hunks_with_lines_numbers'

convert_to_hunks_with_lines_numbers (function) ^[+6/-6]

Component signature:



def convert_to_hunks_with_lines_numbers(patch: str, file) -> str:

Docstring:


"""
Convert a given patch string into a string with line numbers for each hunk, indicating the new and old content of
the file.

Args:
    patch (str): The patch string to be converted.
    file: An object containing the filename of the file being patched.

Returns:
    str: A string with line numbers for each hunk, indicating the new and old content of the file.

Example Output:
## file: '{file.filename.strip()}'
__new hunk__
881        line1
882        line2
883        line3
887 +      line4
888 +      line5
889        line6
890        line7
...
__old hunk__
        line1
        line2
-       line3
-       line4
        line5
        line6
           ...
"""

[codiumai-pr-agent-pro]

Generated tests for 'convert_to_hunks_with_lines_numbers'

convert_to_hunks_with_lines_numbers (function) ^[+6/-6]



Component signature:

def convert_to_hunks_with_lines_numbers(patch: str, file) -> str:


Tests for code changes in convert_to_hunks_with_lines_numbers function:

[happy path] convert_to_hunks_with_lines_numbers should correctly strip and format the filename in the output string test_code: import pytest from pr_agent.algo.git_patch_processing import convert_to_hunks_with_lines_numbers class MockFile: def __init__(self, filename): self.filename = filename def test_filename_formatting_in_output(): patch = "" file = MockFile(" example.txt ") expected_output = "\n\n## file: 'example.txt'\n" assert convert_to_hunks_with_lines_numbers(patch, file) == expected_output

[happy path] convert_to_hunks_with_lines_numbers should add a newline before __new hunk__ and __old hunk__ labels if the previous line is not empty test_code: import pytest from pr_agent.algo.git_patch_processing import convert_to_hunks_with_lines_numbers class MockFile: def __init__(self, filename): self.filename = filename def test_newline_before_hunk_labels(): patch = "@@ -1 +1 @@\n+line1\n-line2\nline3" file = MockFile("file.txt") expected_output = "\n\n## file: 'file.txt'\n@@ -1 +1 @@\n__new hunk__\n1 +line1\n2 line3\n__old hunk__\n-line2\nline3" assert convert_to_hunks_with_lines_numbers(patch, file) == expected_output

[edge case] convert_to_hunks_with_lines_numbers should correctly handle patches with no changes, not adding unnecessary __new hunk__ or __old hunk__ labels test_code: import pytest from pr_agent.algo.git_patch_processing import convert_to_hunks_with_lines_numbers class MockFile: def __init__(self, filename): self.filename = filename def test_handling_of_patches_with_no_changes(): patch = "" file = MockFile("empty_patch.txt") expected_output = "\n\n## file: 'empty_patch.txt'\n" assert convert_to_hunks_with_lines_numbers(patch, file) == expected_output

---

✨ Usage guide:

---

The test tool generate tests for a selected component, based on the PR code changes.
It can be invoked manually by commenting on any PR:

/test component_name

where 'component_name' is the name of a specific component in the PR. To get a list of the components that changed in the PR, use the analyze tool.
Language that are currently supported: Python, Java, C++, JavaScript, TypeScript.

Configuration options:

• num_tests: number of tests to generate. Default is 3.
• testing_framework: the testing framework to use. If not set, for Python it will use pytest, for Java it will use JUnit, for C++ it will use Catch2, and for JavaScript and TypeScript it will use jest.
• avoid_mocks: if set to true, the tool will try to avoid using mocks in the generated tests. Note that even if this option is set to true, the tool might still use mocks if it cannot generate a test without them. Default is true.
• extra_instructions: Optional extra instructions to the tool. For example: "use the following mock injection scheme: ...".
• file: in case there are several components with the same name, you can specify the relevant file.
• class_name: in case there are several components with the same name in the same file, you can specify the relevant class name.

See more information about the test tool in the docs.

[codiumai-pr-agent-pro]

Generated code suggestions for 'convert_to_hunks_with_lines_numbers'

convert_to_hunks_with_lines_numbers (function) ^[+6/-6]



Component signature:

def convert_to_hunks_with_lines_numbers(patch: str, file) -> str:


Suggestions and improvements for code changes in convert_to_hunks_with_lines_numbers function:

	Suggestions
enhancement	Improve string concatenation by using f-strings.                              Use a more Pythonic way to handle the string concatenation by utilizing f-strings instead of using the rstrip() method and concatenating strings with '+'. This enhances readability and performance. pr_agent/algo/git_patch_processing.py -patch_with_lines_str = patch_with_lines_str.rstrip()+'\n__new hunk__\n' +patch_with_lines_str = f"{patch_with_lines_str.rstrip()}\n__new hunk__\n"
maintainability	Remove redundant condition checks.                                            Avoid redundant checks for if new_content_lines: inside the loop and at the end of the function since it's already checked inside the conditional blocks that append to new_content_lines. pr_agent/algo/git_patch_processing.py if match and new_content_lines: - if new_content_lines:
best practice	Use specific exceptions for error handling.                                   Handle exceptions more specifically than using a bare except. Catch specific exceptions (e.g., ValueError) to avoid masking other unexpected errors and improve code reliability. pr_agent/algo/git_patch_processing.py -except: # '@@ -0,0 +1 @@' case +except ValueError: # '@@ -0,0 +1 @@' case
performance	Optimize conversion of match groups to integers.                              Optimize the loop that converts match groups to integers by using a list comprehension, making the code more concise and potentially faster. pr_agent/algo/git_patch_processing.py -res = list(match.groups()) -for i in range(len(res)): - if res[i] is None: - res[i] = 0 +res = [int(x) if x is not None else 0 for x in match.groups()]

[barnett-yuxiang]

Your code is really good