Refactor code in pr_code_suggestions.py

[mrT23]

Type

enhancement, documentation

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Description

• Enhanced the presentation of code suggestions in pr_code_suggestions.py by removing commented-out code and adjusting the HTML structure for better readability.
• Updated Azure DevOps provider documentation by removing the use_repo_settings_file configuration option from both the installation guide and the usage guide.

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Changes walkthrough

	Relevant files
Enhancement	pr_code_suggestions.py Enhance Code Suggestions Presentation                                        pr_agent/tools/pr_code_suggestions.py Removed commented-out code for cleaner presentation of suggestions. Adjusted the HTML structure for displaying suggestions to use rowspan for better readability. Minor formatting adjustments for consistency. +2/-6
Documentation	azure.md Update Azure DevOps Provider Documentation                              docs/docs/installation/azure.md Removed the use_repo_settings_file configuration option from the Azure DevOps provider documentation. +0/-1      automations_and_usage.md Update Azure DevOps Usage Guide                                                    docs/docs/usage-guide/automations_and_usage.md Removed the use_repo_settings_file configuration option from the Azure DevOps provider documentation in the usage guide. +0/-1

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✨ PR-Agent usage:
Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

[mrT23]

/review auto_approve

[codiumai-pr-agent-pro]

Auto-approved PR

[codiumai-pr-agent-pro]

PR Description updated to latest commit (1593d89)

• Copy walkthrough table to "Files Changed" Tab

[codiumai-pr-agent-pro]

PR Review

⏱️ Estimated effort to review [1-5]	2, because the changes are straightforward and mainly involve code cleanup and documentation updates. The removal of commented-out code and minor adjustments in the Python file are easy to evaluate, and the documentation changes are simple to verify for accuracy.
🏅 Score	92
🧪 Relevant tests	No
🔍 Possible issues	HTML Structure Adjustment: The use of rowspan for better readability in pr_code_suggestions.py is a positive change. However, ensure that this adjustment does not break the layout or presentation in different environments or screen sizes where the suggestions are displayed.
🔒 Security concerns	No

---

✨ Review tool 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 '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 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

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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

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

Category	Suggestions
Enhancement	Use list comprehension and join() for building strings to enhance readability and efficiency. Consider using a list comprehension combined with join() for building pr_body to enhance readability and efficiency. This approach can reduce the number of lines and improve the performance by minimizing the number of string concatenations. pr_agent/tools/pr_code_suggestions.py [396-399] -pr_body += f"""<tr><td rowspan={num_suggestions}><strong>{label.capitalize()}</strong></td>\n""" -for i, suggestion in enumerate(suggestions): - relevant_file = suggestion['relevant_file'].strip() +pr_body += "".join([f"""<tr><td rowspan={len(suggestions)}><strong>{label.capitalize()}</strong></td>\n""" + suggestion['relevant_file'].strip() for suggestion in suggestions])
	Add examples or explanations for authentication methods to provide clearer guidance. Consider adding a brief explanation or example of how to use both PAT token and DefaultAzureCredential for authentication. This would provide clearer guidance to users on how to authenticate with Azure DevOps. docs/docs/installation/azure.md [9] -Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication. +Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication. Here's how you can use them: +- For PAT token: ... +- For DefaultAzureCredential: ...
Maintainability	Remove commented-out code to improve code readability and maintainability. Remove commented-out code if it is not intended to be used in the future. Keeping commented-out code can make the codebase harder to read and maintain. pr_agent/tools/pr_code_suggestions.py [446-447] -# pr_body += "</details>" -# pr_body += """</td></tr>""" +

---

✨ Improve tool 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]

PR Code Suggestions

Category	Suggestions
Enhancement	Improve string formatting for HTML content construction. It's recommended to use string formatting methods that are more efficient and readable, such as str.format() or f-strings, for constructing HTML content. In this case, using f-strings can make the code more readable and concise. pr_agent/tools/pr_code_suggestions.py [396] -pr_body += f"""<tr><td rowspan={num_suggestions}><strong>{label.capitalize()}</strong></td>\n""" +pr_body += f"<tr><td rowspan='{num_suggestions}'><strong>{label.capitalize()}</strong></td>\n"
	Add context or explanation for authentication methods in the documentation. For consistency and clarity in documentation, consider adding a brief explanation or context about when or why to use PAT token or DefaultAzureCredential for authentication. This can help users make informed decisions based on their specific needs or setup. docs/docs/installation/azure.md [9] -Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication. +Azure DevOps provider supports two methods of authentication: +- [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows): Suitable for individual users or automation scripts. +- [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments): Recommended for applications running on Azure services.
	Enhance documentation by adding explanations for authentication methods. Similar to the previous suggestion, adding a brief explanation or context about the authentication methods can enhance the documentation's clarity and usefulness for the readers. docs/docs/usage-guide/automations_and_usage.md [175] -Azure DevOps provider supports [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows) or [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments) authentication. +Azure DevOps provider supports two methods of authentication: +- [PAT token](https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate?view=azure-devops&tabs=Windows): Suitable for individual users or automation scripts. +- [DefaultAzureCredential](https://learn.microsoft.com/en-us/azure/developer/python/sdk/authentication-overview#authentication-in-server-environments): Recommended for applications running on Azure services.
Maintainability	Remove unnecessary blank lines and commented-out code. Removing unnecessary blank lines and commented-out code can enhance the readability and maintainability of the code. If the commented-out code is not needed for future reference, it's better to remove it. pr_agent/tools/pr_code_suggestions.py [445-447] -+ -# pr_body += "</details>" -# pr_body += """</td></tr>""" +# Code after removal of unnecessary lines and comments

---

✨ Improve tool 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.