Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

GitAuto: 🧚🤖 Pixeebot Activity Dashboard #56

Closed

Conversation

gitauto-ai[bot]
Copy link

@gitauto-ai gitauto-ai bot commented Nov 4, 2024

Resolves #55

What is the feature

Introducing the Pixeebot Activity Dashboard, a comprehensive dashboard that summarizes repository activities, highlights available improvement opportunities, and provides actionable insights to maintain and enhance project quality.

Why we need the feature

The Activity Dashboard offers a centralized view of the project's health and progress, enabling developers to:

  • Monitor ongoing and completed tasks.
  • Identify areas requiring attention or improvement.
  • Streamline the review and feedback process.
  • Enhance transparency and collaboration within the team.

By having this dashboard, teams can proactively manage their workflows, ensure timely updates, and maintain high code quality standards.

How to implement and why

  1. Backend Integration (app.py and requirements.txt):

    • Add Necessary Libraries: Update requirements.txt to include packages for data visualization and dashboard management (e.g., Dash, Plotly).
    • Develop API Endpoints: Modify app.py to create endpoints that fetch and process repository activity data, such as pull requests, commits, and issues.
  2. Frontend Development (templates directory):

    • Design Dashboard Layout: Create HTML templates that structure the dashboard, incorporating charts, tables, and status indicators.
    • Integrate Visualization Tools: Utilize JavaScript libraries (e.g., Chart.js) within the templates to render dynamic and interactive visualizations.
  3. Configuration (_config.yml and vercel.json):

    • Set Up Routing: Update configuration files to route dashboard-related URLs correctly.
    • Optimize Performance: Ensure that the dashboard assets are properly cached and optimized for quick load times.
  4. Continuous Integration and Deployment (.github directory):

    • Automate Testing: Implement tests to verify dashboard functionalities and integrations.
    • Deploy Updates: Configure CI/CD pipelines to deploy the dashboard updates seamlessly without disrupting existing services.
  5. Documentation (README.md):

    • Provide Usage Instructions: Update the README to include guidelines on accessing and utilizing the Activity Dashboard.
    • Detail Feature Benefits: Highlight the advantages and functionalities of the new dashboard to inform and educate users.

This step-by-step implementation ensures a robust and user-friendly Activity Dashboard that seamlessly integrates with the existing project structure, leveraging appropriate technologies for optimal performance and usability.

About backward compatibility

The introduction of the Activity Dashboard is designed to complement existing features without altering current functionalities. By encapsulating the dashboard components within separate modules and routes, we ensure that:

  • No Disruption: Existing users and workflows remain unaffected by the new additions.
  • Flexibility: Teams can opt to utilize the dashboard without mandatory integration, maintaining their current setup.
  • Scalability: Future enhancements to the dashboard can be made independently, ensuring long-term maintainability.

Maintaining backward compatibility ensures a smooth transition for all users, fostering adoption and minimizing potential disruptions.

Test these changes locally

git checkout -b gitauto/issue-55-cbd7e6d9-0c9b-4908-8335-13c9a4cc5ede
git pull origin gitauto/issue-55-cbd7e6d9-0c9b-4908-8335-13c9a4cc5ede

Copy link

vercel bot commented Nov 4, 2024

The latest updates on your projects. Learn more about Vercel for Git ↗︎

Name Status Preview Comments Updated (UTC)
progressbar ❌ Failed (Inspect) Nov 4, 2024 0:12am

Copy link

vercel bot commented Nov 4, 2024

Deployment failed with the following error:

Could not parse File as JSON: vercel.json

Copy link

coderabbitai bot commented Nov 4, 2024

Important

Review skipped

Bot user detected.

To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.


🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link

socket-security bot commented Nov 4, 2024

New and removed dependencies detected. Learn more about Socket for GitHub ↗︎

Package New capabilities Transitives Size Publisher
pypi/[email protected] environment, eval, filesystem, network, shell Transitive: unsafe +98 418 MB T4rk, alexcjohnson, bronsolo, ...2 more
pypi/[email protected] environment, eval, filesystem, network, shell Transitive: unsafe +10 80.9 MB alexcjohnson, archmoj, bronsolo, ...5 more
pypi/[email protected] environment, eval, filesystem, network, shell, unsafe +79 160 MB The_Compiler, anatoly, flub, ...4 more

View full report↗︎

Copy link
Author

gitauto-ai bot commented Nov 4, 2024

Committed the Check Run Socket Security: Pull Request Alerts error fix! Running it again...

Copy link

socket-security bot commented Nov 4, 2024

🚨 Potential security issues detected. Learn more about Socket for GitHub ↗︎

To accept the risk, merge this PR and you will not be notified again.

Alert Package NoteSourceCI
AI-detected potential code anomaly pypi/[email protected]
  • Notes: The code contains multiple potential security risks, including unauthorized file writes, command injection, information leakage, and code injection. It should be reviewed and modified to ensure proper input validation, sanitization, and secure handling of user input. The presence of 'eval' raises concerns about the safety and security of the code.
  • Confidence: 0.80
  • Severity: 0.70
🚫
AI-detected potential code anomaly pypi/[email protected]
  • Notes: The code contains multiple potential security risks, including unauthorized file writes, command injection, information leakage, and code injection. It should be reviewed and modified to ensure proper input validation, sanitization, and secure handling of user input. The presence of 'eval' raises concerns about the safety and security of the code.
  • Confidence: 0.80
  • Severity: 0.70
🚫
AI-detected potential code anomaly pypi/[email protected]
  • Notes: The code contains multiple potential security risks, including unauthorized file writes, command injection, information leakage, and code injection. It should be reviewed and modified to ensure proper input validation, sanitization, and secure handling of user input. The presence of 'eval' raises concerns about the safety and security of the code.
  • Confidence: 0.80
  • Severity: 0.70
🚫
Filesystem access pypi/[email protected] 🚫
Shell access pypi/[email protected] 🚫
Uses eval pypi/[email protected] 🚫
Environment variable access pypi/[email protected] 🚫
Network access pypi/[email protected] 🚫
Filesystem access pypi/[email protected] 🚫
Network access pypi/[email protected] 🚫
Shell access pypi/[email protected] 🚫
Uses eval pypi/[email protected] 🚫
Environment variable access pypi/[email protected] 🚫
AI-detected potential code anomaly pypi/[email protected]
  • Notes: The code contains multiple potential security risks, including unauthorized file writes, command injection, information leakage, and code injection. It should be reviewed and modified to ensure proper input validation, sanitization, and secure handling of user input. The presence of 'eval' raises concerns about the safety and security of the code.
  • Confidence: 0.80
  • Severity: 0.70
🚫
Filesystem access pypi/[email protected] 🚫
Network access pypi/[email protected] 🚫
Shell access pypi/[email protected] 🚫
Uses eval pypi/[email protected] 🚫
Environment variable access pypi/[email protected] 🚫
AI-detected potential code anomaly pypi/[email protected]
  • Notes: The code contains multiple potential security risks, including unauthorized file writes, command injection, information leakage, and code injection. It should be reviewed and modified to ensure proper input validation, sanitization, and secure handling of user input. The presence of 'eval' raises concerns about the safety and security of the code.
  • Confidence: 0.80
  • Severity: 0.70
🚫
AI-detected potential code anomaly pypi/[email protected]
  • Notes: The code contains multiple potential security risks, including unauthorized file writes, command injection, information leakage, and code injection. It should be reviewed and modified to ensure proper input validation, sanitization, and secure handling of user input. The presence of 'eval' raises concerns about the safety and security of the code.
  • Confidence: 0.80
  • Severity: 0.70
🚫
Uses eval pypi/[email protected] 🚫

View full report↗︎

Next steps

What is an AI-detected potential code anomaly?

AI has identified unusual behaviors that may pose a security risk.

An AI system found a low-risk anomaly in this package. It may still be fine to use, but you should check that it is safe before proceeding.

What is filesystem access?

Accesses the file system, and could potentially read sensitive data.

If a package must read the file system, clarify what it will read and ensure it reads only what it claims to. If appropriate, packages can leave file system access to consumers and operate on data passed to it instead.

What is shell access?

This module accesses the system shell. Accessing the system shell increases the risk of executing arbitrary code.

Packages should avoid accessing the shell which can reduce portability, and make it easier for malicious shell access to be introduced.

What is dynamic code execution?

Package uses dynamic code execution (e.g., eval()), which is a dangerous practice. This can prevent the code from running in certain environments and increases the risk that the code may contain exploits or malicious behavior.

Avoid packages that use dynamic code execution like eval(), since this could potentially execute any code.

What is environment variable access?

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Packages should be clear about which environment variables they access, and care should be taken to ensure they only access environment variables they claim to.

What is network access?

This module accesses the network.

Packages should remove all network access that is functionally unnecessary. Consumers should audit network access to ensure legitimate use.

Take a deeper look at the dependency

Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support [AT] socket [DOT] dev.

Remove the package

If you happen to install a dependency that Socket reports as Known Malware you should immediately remove it and select a different dependency. For other alert types, you may may wish to investigate alternative packages or consider if there are other ways to mitigate the specific risk posed by the dependency.

Mark a package as acceptable risk

To ignore an alert, reply with a comment starting with @SocketSecurity ignore followed by a space separated list of ecosystem/package-name@version specifiers. e.g. @SocketSecurity ignore npm/[email protected] or ignore all packages with @SocketSecurity ignore-all

Copy link
Author

gitauto-ai bot commented Nov 4, 2024

Committed the Check Run Codacy Static Code Analysis error fix! Running it again...

@gstraccini gstraccini bot added gitauto GitAuto label to trigger the app in a issue. 🚦 awaiting triage Items that are awaiting triage or categorization 🤖 bot Automated processes or integrations labels Nov 4, 2024
@gstraccini gstraccini bot requested a review from guibranco November 4, 2024 04:33
@guibranco guibranco closed this Nov 4, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
🚦 awaiting triage Items that are awaiting triage or categorization 🤖 bot Automated processes or integrations gitauto GitAuto label to trigger the app in a issue.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

🧚🤖 Pixeebot Activity Dashboard
1 participant