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https://github.com/madhurimarawat/learning-codefactor
This repository is dedicated to exploring CodeFactor, an automated code review tool that provides real-time feedback to improve code quality. By analyzing code for style issues, complexity, and potential bugs, CodeFactor ensures clean and maintainable code.
https://github.com/madhurimarawat/learning-codefactor
code-review code-review-automation codefactor codefactor-integration detailed-installation detailed-readme discussions documentation installation installation-guide interactive learning-guide learning-tool markdown open-source output-explained python snapshots software-engineering study-materials
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This repository is dedicated to exploring CodeFactor, an automated code review tool that provides real-time feedback to improve code quality. By analyzing code for style issues, complexity, and potential bugs, CodeFactor ensures clean and maintainable code.
- Host: GitHub
- URL: https://github.com/madhurimarawat/learning-codefactor
- Owner: madhurimarawat
- License: mit
- Created: 2024-11-24T05:48:01.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-11-24T12:52:31.000Z (3 months ago)
- Last Synced: 2024-12-17T00:37:31.476Z (about 2 months ago)
- Topics: code-review, code-review-automation, codefactor, codefactor-integration, detailed-installation, detailed-readme, discussions, documentation, installation, installation-guide, interactive, learning-guide, learning-tool, markdown, open-source, output-explained, python, snapshots, software-engineering, study-materials
- Language: Python
- Homepage: https://www.codefactor.io/dashboard
- Size: 875 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Learning-CodeFactor
This repository is dedicated to exploring **CodeFactor**, an automated code review tool that provides real-time feedback to improve code quality. By analyzing code for style issues, complexity, and potential bugs, CodeFactor ensures clean and maintainable code.
## **Introduction**
**CodeFactor** provides automated code quality reviews directly integrated with GitHub and other platforms. It identifies code smells, style issues, and best practice violations, streamlining code review processes for developers.
## **Steps to Set Up CodeFactor**
### **1. Create an Account**
1. Visit [CodeFactor](https://www.codefactor.io/) and sign up using your **GitHub** account.
- Grant the necessary permissions for CodeFactor to access your repositories.
2. After authorization, you will be redirected to your CodeFactor dashboard.
---
### **2. Add Your Repository**
1. From the CodeFactor dashboard, click on **"Add New Repository"**.
2. Select the repository (**Learning-CodeFactor**) you want to monitor.
- Ensure CodeFactor has the appropriate access permissions.
3. CodeFactor will perform an initial scan of your repository and generate a code quality report.
---
### **3. Introduce Deliberate Code Issues**
To test CodeFactor’s analysis:
- Add some intentional issues like inconsistent indentation, unused variables, or overly complex functions.
- Observe how CodeFactor detects and highlights these problems.
---
### **4. Integrate CodeFactor with GitHub**
1. Enable GitHub integration to receive feedback directly in your pull requests:
- Go to **Settings > GitHub Integration** in your CodeFactor dashboard.
- Enable **Status Checks** to display analysis results on GitHub pull requests.
2. From now on, CodeFactor will analyze every commit and provide actionable insights.
---
## Analysis and Evaluation
### **Benefits of Integration**
- **Real-Time Feedback**: View analysis results for every commit and pull request.
- **Enhanced Maintainability**: Ensure code adheres to best practices.
- **Seamless GitHub Integration**: Feedback is displayed directly within the GitHub workflow.
- **Customizable Rules**: Tailor analysis to meet your team's specific standards.
### **Example Workflow**
1. Developer submits a pull request.
2. CodeFactor analyzes the changes and provides inline feedback.
3. Developers can review, fix issues, and merge confidently.
---
## **Troubleshooting**
- **No Analysis for Commits**: Ensure the repository is public or that CodeFactor has access to private repositories.
- **Missing Feedback in Pull Requests**: Verify that GitHub integration and Status Checks are enabled in your settings.
---
## Directory Structure
```
📂 Learning-CodeFactor
├── 📁 Codes
│ ├── 📄 sample_code_corrected.py # Testing script for the corrected workflow, ensuring proper functionality of the Streamlit app.
│ ├── 📄 sample_code_with_errors.py # Script demonstrating the erroneous workflow for analysis and debugging.
│ ├── 📄 sample_code_with_errors_codefactor.py # Script showcasing the error-prone workflow updated for CodeFactor review and improvements.
│
├── 📁 Documentation Files
│ ├── 📄 Code Review Automation.md # Sprint planning document outlining the development process and project timeline.
│ ├── 📄 Code Review Automation.pdf # A formatted PDF report summarizing project outputs and features for sharing and printing.
│
├── 📁 Output
│ ├── 📄 Experiment 9 Output.docx # Word document explaining the experiment's results in detail.
│ ├── 📄 Experiment 9 Output.pdf # PDF version of the experiment's outputs for easy distribution.
│
├── 📄 README.md # Overview of the project, including purpose, setup instructions, and key features.
├── 📄 LICENSE.md # License information governing the usage, distribution, and modification of the project.
```
---
## Thanks for Visiting 😄
- Drop a 🌟 if you find this repository useful.
- If you have any doubts or suggestions, feel free to reach me.
📫 How to reach me: [](https://www.linkedin.com/in/madhurima-rawat/)
- **Contribute and Discuss:** Feel free to open issues 🐛, submit pull requests 🛠️, or start discussions 💬 to help improve this repository!