ignore bot

[mrT23]

Type

enhancement

---

Description

• Centralized the logic to ignore PRs opened by bots into the handle_request function for better code organization and readability.
• Removed the sender_type parameter from the handle_new_pr_opened function as part of the refactor.
• Added explanatory comments to make the bot ignore logic clearer and more maintainable.

---

Changes walkthrough

	Relevant files
Enhancement	github_app.py Centralize Bot PR Ignore Logic and Refactor                            pr_agent/servers/github_app.py Refactored bot PR ignore logic to a more centralized location. Removed sender_type parameter from handle_new_pr_opened function. Added comments for clarity on bot ignore logic. +6/-7

---

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

[codiumai-pr-agent-pro]

PR Description updated to latest commit (3cdadb3)

• Copy walkthrough table to "Files Changed" Tab

[mrT23]

/review auto_approve

[codiumai-pr-agent-pro]

PR Review

⏱️ Estimated effort to review [1-5]	2, because the changes are mostly about moving existing logic and removing a parameter, which are straightforward to review. The added comments improve clarity, making it easier to understand the purpose and functionality of the changes.
🏅 Score	85
🧪 Relevant tests	No
🔍 Possible issues	Possible Regression: Removing the sender_type parameter from handle_new_pr_opened and centralizing the bot ignore logic might introduce regressions if there are other dependencies or side effects not considered in this PR.
🔒 Security concerns	No
🔀 Multiple PR themes	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

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, require_can_be_split_review, and more.

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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
Possible issue	Add a check to ensure sender_type is not None before comparison. Consider adding a check to ensure that sender_type is not None before comparing it to "Bot". This can prevent potential TypeError if sender_type is None and the comparison is attempted. pr_agent/servers/github_app.py [259] -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type is not None and sender_type == "Bot":
Best practice	Use consistent string formatting with f-strings. To maintain consistency and readability, consider using a single style for string formatting throughout your code. Since f-strings are used elsewhere, it's recommended to use them here as well for the debug log message. pr_agent/servers/github_app.py [265] -get_logger().debug(f'Request body', artifact=body, event=event) +get_logger().debug(f'Request body: {body}', event=event)
Maintainability	Extract PR ignore condition into a separate function for clarity. To improve code readability and maintainability, consider extracting the condition checking if PRs should be ignored into a separate function. This can make the main logic in handle_request cleaner and the condition easier to test and modify. pr_agent/servers/github_app.py [259] -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +if should_ignore_pr(sender_type):

---

✨ 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.

[almog-lv]

/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
github_app.py	Test Docs Improve Similar   handle_request (function)   +7/-2

---

✨ 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]

🔍 Finding similar code for 'handle_request'

handle_request (function) ^[+7/-2]

Component signature:

async def handle_request(body: Dict[str, Any], event: str):

🏷 Extracted Keywords	webhook , async , GitHub , pull_request , logging
🌍 Search Context	Global Organization
🔍 Similar Code	Repository: SFTtech/kevin Filename: github.py
	Repository: go-build-it/quart-github-webhook Filename: webhook.py
	Repository: codecov/shared Filename: github.py
	Repository: codedog-ai/codedog Filename: github_server.py
	Repository: dashezup/github-webhook-to-telegram Filename: github_webhook.py
📂 Relevant Repositories	No relevant repositories found

[barnett-yuxiang]

cool

[mrT23]

/test

[codiumai-pr-agent-pro]

❌ PR-Agent: Missing component name in test command.

Please provide a component name when running the tool: /test <component_name>. Running automatically on the largest changed component.

---

✨ Test tool 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.

[mrT23]

/help

[codiumai-pr-agent-pro]

PR Agent Walkthrough

🤖 Welcome to the PR Agent, an AI-powered tool for automated pull request analysis, feedback, suggestions and more.

Here is a list of tools you can use to interact with the PR Agent:

Tool	Description	Trigger Interactively 💎
DESCRIBE	Generates PR description - title, type, summary, code walkthrough and labels	Run
REVIEW	Adjustable feedback about the PR, possible issues, security concerns, review effort and more	Run
IMPROVE	Code suggestions for improving the PR	Run
UPDATE CHANGELOG	Automatically updates the changelog	Run
ADD DOCS 💎	Generates documentation to methods/functions/classes that changed in the PR	Run
TEST 💎	Generates unit tests for a specific component, based on the PR code change	Run
IMPROVE COMPONENT 💎	Code suggestions for a specific component that changed in the PR	Run
ANALYZE 💎	Identifies code components that changed in the PR, and enables to interactively generate tests, docs, and code suggestions for each component	Run
ASK	Answering free-text questions about the PR	[*]
GENERATE CUSTOM LABELS 💎	Generates custom labels for the PR, based on specific guidelines defined by the user	[*]
CI FEEDBACK 💎	Generates feedback and analysis for a failed CI job	[*]
CUSTOM SUGGESTIONS 💎	Generates custom suggestions for improving the PR code, based only on specific guidelines defined by the user	[*]
SIMILAR ISSUE	Automatically retrieves and presents similar issues	[*]

(1) Note that each tool be triggered automatically when a new PR is opened, or called manually by commenting on a PR.

(2) Tools marked with [*] require additional parameters to be passed. For example, to invoke the /ask tool, you need to comment on a PR: /ask "<question content>". See the relevant documentation for each tool for more details.

[codiumai-pr-agent-pro]

PR-Agent: Missing component name in test command: /test <component_name>.
Running automatically on the largest changed component.

---

✨ Test tool 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]

PR-Agent: Missing component name in improve_component command: /improve_component <component_name>.
Running automatically on the largest changed component.

---

✨ Test tool 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 'handle_request'

handle_request (function) ^[+7/-2]



Component signature:

async def handle_request(body: Dict[str, Any], event: str):


Suggestions and improvements for code changes in handle_request function:

Category	Suggestions
Enhancement	Use a more specific settings access method for better reliability and readability. Consider using a more specific key from the settings instead of a generic get method to avoid potential issues with missing or incorrect settings. This can improve code reliability and readability. pr_agent/servers/github_app.py -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +if get_settings().github_app.ignore_bot_pr and sender_type == "Bot":
Maintainability	Implement a strategy pattern for event and action handling to improve extensibility and maintainability. To ensure that the handle_request function can handle future additional events or actions, consider implementing a strategy pattern or a mapping of events/actions to handler functions. This can make the function more extensible and maintainable. pr_agent/servers/github_app.py -if action == 'created': - ... -elif event == 'pull_request' and action != 'synchronize' and action != 'closed': - ... -elif event == 'pull_request' and action == 'synchronize': - ... -elif event == 'pull_request' and action == 'closed': - ... +event_action_handlers = { + ('comment', 'created'): handle_comments_on_pr, + ('pull_request', 'open'): handle_new_pr_opened, + ('pull_request', 'synchronize'): handle_push_trigger_for_new_commits, + ('pull_request', 'closed'): handle_closed_pr, +} +handler = event_action_handlers.get((event, action)) +if handler: + await handler(body, event, sender, sender_id, action, log_context, agent) else: - ... + get_logger().info(f"event {event=} action {action=} does not require any handling")
Best practice	Use a named constant for empty responses to improve readability. Instead of returning an empty dictionary {} directly, consider defining a constant like EMPTY_RESPONSE at the module level. This can improve readability and make the intention clearer, especially if the empty dictionary has a specific meaning in this context. pr_agent/servers/github_app.py -return {} +EMPTY_RESPONSE = {} +... +return EMPTY_RESPONSE
	Use structured logging for better log analysis and searchability. For logging purposes, instead of directly concatenating strings and variables using f-strings, consider using structured logging with key-value pairs. This approach can make logs more searchable and easier to analyze. pr_agent/servers/github_app.py -get_logger().info(f"Ignoring PR from '{sender=}' due to github_app.ignore_bot_pr setting") +get_logger().info("Ignoring PR due to github_app.ignore_bot_pr setting", sender=sender)

[mrT23]

/improve_component handle_request

[mrT23]

Generated code suggestions for 'handle_request'

handle_request (function) ^[+7/-2]



Component signature:

async def handle_request(body: Dict[str, Any], event: str):


Suggestions and improvements for code changes in handle_request function:

Category	Suggestions
Best practice	Use a constant or enumeration for the sender_type check. Consider using a constant or an enumeration for the sender_type check instead of a hardcoded string to improve maintainability and avoid potential typos. pr_agent/servers/github_app.py -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == SenderType.BOT:
Performance	Cache the result of get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) if settings are stable. To ensure that the get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) call is not repeatedly executed for every webhook event, consider caching its result outside of the request handling scope if the settings do not change frequently. pr_agent/servers/github_app.py -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +IGNORE_BOT_PR = get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) +... +if IGNORE_BOT_PR and sender_type == "Bot":
Maintainability	Use a constant for empty responses to improve readability. Instead of returning an empty dictionary {} directly, consider defining a constant like EMPTY_RESPONSE at the module level to improve readability and maintainability. pr_agent/servers/github_app.py -return {} +EMPTY_RESPONSE = {} +... +return EMPTY_RESPONSE
Enhancement	Add more context to the debug log for better traceability. For the debug log that includes the request body, consider adding more context or a specific identifier for the request to help with debugging and tracing specific webhook events. pr_agent/servers/github_app.py -get_logger().debug(f'Request body', artifact=body, event=event) +get_logger().debug(f'Request body for event {event} with action {action}', artifact=body, event=event)

[mrT23]

/improve_component handle_request

[codiumai-pr-agent-pro]

Generated code suggestions for 'handle_request'

handle_request (function) ^[+7/-2]



Component signature:

async def handle_request(body: Dict[str, Any], event: str):


Suggestions and improvements for code changes in handle_request function:

Category	Suggestions
Enhancement	Use a more specific key from settings to avoid potential runtime errors. Consider using a more specific key from the settings instead of a generic get method. This ensures that the setting exists and avoids potential runtime errors if the setting is missing. pr_agent/servers/github_app.py -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +if get_settings().GITHUB_APP.IGNORE_BOT_PR and sender_type == "Bot":
Maintainability	Refactor event handling logic into a separate function or dispatcher pattern. To improve the readability and maintainability of the code, consider extracting the logic for handling different events and actions into separate functions or a dispatcher pattern. pr_agent/servers/github_app.py -if action == 'created': - await handle_comments_on_pr(body, event, sender, sender_id, action, log_context, agent) -elif event == 'pull_request' and action != 'synchronize' and action != 'closed': - await handle_new_pr_opened(body, event, sender, sender_id, action, log_context, agent) +await dispatch_event_handling(event, action, body, sender, sender_id, log_context, agent)
Best practice	Use a constant for the empty response to improve readability. Instead of returning an empty dictionary {} directly, consider defining a constant like EMPTY_RESPONSE at the module level to improve readability and maintainability. pr_agent/servers/github_app.py -return {} +EMPTY_RESPONSE = {} +return EMPTY_RESPONSE
	Cast the IGNORE_BOT_PR setting to boolean to ensure type safety. Ensure that the get_settings().GITHUB_APP.IGNORE_BOT_PR setting is always a boolean. This can be done by explicitly casting the setting value to a boolean when retrieving it. pr_agent/servers/github_app.py -if get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False) and sender_type == "Bot": +if bool(get_settings().get("GITHUB_APP.IGNORE_BOT_PR", False)) and sender_type == "Bot":