Accelerate development pace and leverage collective intelligence through open-so...reconsumeralization/tk#62

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# Repo & Issue Metadata
Repo: tk: No description provided.
Issue Title: Accelerate development pace and leverage collective intelligence through open-source collaboration.

Issue Description: ### Details
Solution:

Metric: Primary: Number of contributors, code commits, community engagement. Secondary: Code quality score, coverage metrics.
Search Space:
Open-source platform integration: Integrate the codebase into an open-source platform to facilitate collaboration.
Comprehensive documentation: Develop clear and concise documentation to guide contributors.
Community outreach initiatives: Engage with the open-source community through forums, workshops

You have previously changed these files:
<changed_file file_path="CONTRIBUTING.md">
--- 
+++ 
@@ -0,0 +1,35 @@
+3. Install the frontend dependencies:
+   ```
+   cd frontend
+   npm install
+   ```
+For detailed setup instructions, refer to the [README.md](README.md) file.
+
+## Submitting Pull Requests
+To contribute code:
+
+1. Create a new branch from the main branch for your changes:
+   ```
+   git checkout -b feature-branch-name
+   ```
+2. Make your changes and commit them with clear, descriptive messages.
+3. Push your branch to your fork and submit a pull request to the main repository.
+4. Ensure your branch is up to date with the main branch to ease the merge process.
+
+## Coding Standards
+Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.
+
+## Running Tests
+To ensure the quality of your contributions, run the tests before submitting a pull request:
+
+1. Backend tests:
+   ```
+   cd backend
+   pytest
+   ```
+2. Frontend tests:
+   ```
+   cd frontend
+   npm test
+   ```
+3. End-to-end tests:
</changed_file>
<changed_file file_path=".github/ISSUE_TEMPLATE/bug_report.md">
--- 
+++ 
@@ -0,0 +1,27 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: "[BUG] "
+labels: bug
+assignees: ''
+
+---
+
+## Describe the bug
+A clear and concise description of what the bug is.
+
+## To Reproduce
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+## Expected behavior
+A clear and concise description of what you expected to happen.
+
+## Screenshots
+If applicable, add screenshots to help explain your problem.
+
+## Additional context
+Add any other context about the problem here, like the environment in which the bug was encountered, version numbers, etc.
</changed_file>
<changed_file file_path=".github/ISSUE_TEMPLATE/feature_request.md">
--- 
+++ 
@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: "[FEATURE] "
+labels: enhancement
+assignees: ''
+
+---
+
+## Feature Description
+<!-- A clear and concise description of the feature you're requesting. -->
+
+## The Problem
+<!-- Describe the problem or limitation you are having in your project that this feature would address. -->
+
+## Possible Solution
+<!-- Suggest an idea for how to implement the addition or change. -->
+
+## Additional Context
+<!-- Add any other context or screenshots about the feature request here. -->
</changed_file>

Relevant files in this PR:

<relevant_file file_path="CONTRIBUTING.md">
3. Install the frontend dependencies:
   ```
   cd frontend
   npm install
   ```
For detailed setup instructions, refer to the [README.md](README.md) file.

## Submitting Pull Requests
To contribute code:

1. Create a new branch from the main branch for your changes:
   ```
   git checkout -b feature-branch-name
   ```
2. Make your changes and commit them with clear, descriptive messages.
3. Push your branch to your fork and submit a pull request to the main repository.
4. Ensure your branch is up to date with the main branch to ease the merge process.

## Coding Standards
Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.

## Running Tests
To ensure the quality of your contributions, run the tests before submitting a pull request:

1. Backend tests:
   ```
   cd backend
   pytest
   ```
2. Frontend tests:
   ```
   cd frontend
   npm test
   ```
3. End-to-end tests:
</relevant_file>

<section id="A">
# TeacherStudentParentAdminAi System

## Overview

The TeacherStudentParentAdminAi system is a comprehensive web application designed to facilitate seamless communication and interaction between teachers, students, parents, administrators, and an integrated AI module. The system aims to enhance educational processes through features like auto-grading, chat, quizzes, tests, and personalized learning.

## Features

The system includes user roles for teachers, students, parents, administrators, and an AI module. It supports real-time chat, auto-grading of assignments, quizzes and tests, and AI integration for lesson planning, personalized learning, and assessment feedback.

## System Architecture

The backend is built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication. The frontend uses React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests. The AI module uses Hugging Face Transformers for natural language processing and is integrated with the backend services.


</section id="A">
<section id="B">
## Deployment

To package the application for deployment, Docker is used to create containers for both the frontend and backend components. Kubernetes is then used for orchestration, handling the deployment, scaling, and management of these containers. The following commands can be used:

1. Build the Docker images:
   - Backend: `docker build -t backend-image .` (run in the backend directory)
   - Frontend: `docker build -t frontend-image .` (run in the frontend directory)
2. Push the images to a registry (optional):
   - `docker push backend-image`
   - `docker push frontend-image`
3. Deploy the application using Kubernetes:
   - Apply the configuration files: `kubectl apply -f deployment.yml`
   - Monitor the deployment: `kubectl rollout status deployment/backend` and `kubectl rollout status deployment/frontend`


</section id="B">
<section id="C">

## Testing

Comprehensive tests are conducted to ensure the quality of the software. Unit tests cover individual functions and components, while integration tests assess the interactions between different parts of the system. To execute the tests, follow the commands below:

1. Backend tests:
   - Navigate to the backend directory and run `pytest`.
2. Frontend tests:
   - Navigate to the frontend directory and run `npm test`.
3. End-to-end tests:
   - Execute `npm run e2e` in the repository root.


## Code Improvement Script

</section id="C">
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section id="D">
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
- Make your changes, ensuring adherence to the project's coding style and guidelines.
- Write clear, concise commit messages for each significant change.
- Push your branch to the repository and create a pull request for review.
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
</section id="E">
<section id="F">

Enhancing the Project:

- Report issues, propose new features, and provide constructive feedback.
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


</section id="F">
<section id="G">
## Security


Security is a paramount concern, and as such, the system employs JSON Web Tokens (JWT) to manage user authentication securely. All data is transmitted over HTTPS to ensure confidentiality and integrity of the data in transit.


## Future Enhancements


In upcoming iterations, we aim to incorporate state-of-the-art AI capabilities to enable predictive analytics, enhancing the decision-making process and driving student success. Additionally, mobile applications for both Android and iOS platforms are under development to extend accessibility and reach.

## Code Improvement Script

The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

</section id="G">
<section id="H">
To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

## Constraints


Adherence to the project delivery timeline is critical, and we are cognizant of the hardware and infrastructure constraints that may impact development. Our approach is designed to be pragmatic, ensuring milestones are met without compromising on the quality or performance of the application.



## Setup

</section id="H">
<section id="I">
To set up the application locally for development or testing purposes, follow these steps:

1. Clone the repository using `git clone repository_url`.
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.



## Usage

Follow these steps to interact with the application:

1. Create a new user account by sending a POST request to `/api/users` with the required user details.
</section id="I">
<section id="J">
2. Log in by sending a POST request to `/api/login` to receive a JWT token.
3. Use the obtained JWT token to authenticate and access protected routes.
4. Interact with the AI module for educational support by using the available API endpoints at `/api/ai`.



## Code Snippets

The following are updated code excerpts from the project repository, showcasing the structure and functionality of key components:

### app.py

```python
# Updated app.py content goes here...
```
</section id="J">
<section id="K">

### routes.py

```python
# Updated routes.py content goes here...
```

### ai_module.py

```python
# Updated ai_module.py content goes here...
```


Here are some code snippets from the project:
</section id="K">
<section id="L">

### routes.py

```python
from flask import Blueprint, request, jsonify
from models import db, User, Course, UserCourse, Assignment, Test, Chat
from flask_jwt_extended import jwt_required, get_jwt_identity

bp = Blueprint('routes', __name__)

@bp.route('/users', methods=['POST'])
def create_user():
    data = request.get_json()
    new_user = User(username=data['username'], password=data['password'], role=data['role'])
    db.session.add(new_user)
</section id="L">
<section id="M">
    db.session.commit()
    db.session.commit()
    return jsonify({'message': 'User created'}), 201

@bp.route('/users', methods=['GET'])
@jwt_required()
def get_users():
    users = User.query.all()
    return jsonify([user.serialize for user in users]), 200

@bp.route('/courses', methods=['POST'])
@jwt_required()
def create_course():
    data = request.get_json()
    new_course = Course(name=data['name'], teacher_id=data['teacher_id'])
</section id="M">
<section id="N">
    db.session.add(new_course)
    db.session.commit()
```
<<<EDITED_SELECTION_WILL_BE_INSERTED_HERE>>>

</section id="N">

# Request
• Update the Community Participation and Contribution section to reference the new CONTRIBUTING.md file for detailed contribution guidelines.
• Add a new section titled 'Setting Up for Development' that includes steps 60-64 from the current README.md, ensuring that the instructions are clear and easy to follow for new contributors.
• Under 'Enhancing the Project', add a call to action for contributors to check out the issue templates for reporting bugs or requesting features.

ERROR
No changes were made due to the following error:

The old_code in the 0th replace_to_make does not appear to be present in section E. The old_code contains:
```
To contribute to the project, follow the guidelines below:
```
But section E has code:
```
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
- Make your changes, ensuring adherence to the project's coding style and guidelines.
- Write clear, concise commit messages for each significant change.
- Push your branch to the repository and create a pull request for review.
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
```

Did you mean one of the following sections?
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section>
```

SUCCESS
Here are the new code sections:

The following changes have been applied:
```diff
--- 
+++ 
@@ -118,13 +118,16 @@
 
 ## Setup
 
-To set up the application locally for development or testing purposes, follow these steps:
+## Setting Up for Development
+To set up the application locally for development, follow these steps:
 
 1. Clone the repository using `git clone repository_url`.
 2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
 3. Install the frontend dependencies with `cd frontend` and `npm install`.
 4. Start the backend server with `python app.py` from the backend directory.
 5. Launch the frontend by running `npm start` from the frontend directory.
+
+For more detailed setup instructions, refer to the [README.md](README.md) file.
 
 
 

```
Here are the new code sections:




<section id="A">
# TeacherStudentParentAdminAi System

## Overview

The TeacherStudentParentAdminAi system is a comprehensive web application designed to facilitate seamless communication and interaction between teachers, students, parents, administrators, and an integrated AI module. The system aims to enhance educational processes through features like auto-grading, chat, quizzes, tests, and personalized learning.

## Features

The system includes user roles for teachers, students, parents, administrators, and an AI module. It supports real-time chat, auto-grading of assignments, quizzes and tests, and AI integration for lesson planning, personalized learning, and assessment feedback.

## System Architecture

The backend is built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication. The frontend uses React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests. The AI module uses Hugging Face Transformers for natural language processing and is integrated with the backend services.


</section id="A">
<section id="B">
## Deployment

To package the application for deployment, Docker is used to create containers for both the frontend and backend components. Kubernetes is then used for orchestration, handling the deployment, scaling, and management of these containers. The following commands can be used:

1. Build the Docker images:
   - Backend: `docker build -t backend-image .` (run in the backend directory)
   - Frontend: `docker build -t frontend-image .` (run in the frontend directory)
2. Push the images to a registry (optional):
   - `docker push backend-image`
   - `docker push frontend-image`
3. Deploy the application using Kubernetes:
   - Apply the configuration files: `kubectl apply -f deployment.yml`
   - Monitor the deployment: `kubectl rollout status deployment/backend` and `kubectl rollout status deployment/frontend`


</section id="B">
<section id="C">

## Testing

Comprehensive tests are conducted to ensure the quality of the software. Unit tests cover individual functions and components, while integration tests assess the interactions between different parts of the system. To execute the tests, follow the commands below:

1. Backend tests:
   - Navigate to the backend directory and run `pytest`.
2. Frontend tests:
   - Navigate to the frontend directory and run `npm test`.
3. End-to-end tests:
   - Execute `npm run e2e` in the repository root.


## Code Improvement Script

</section id="C">
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section id="D">
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
- Make your changes, ensuring adherence to the project's coding style and guidelines.
- Write clear, concise commit messages for each significant change.
- Push your branch to the repository and create a pull request for review.
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
</section id="E">
<section id="F">

Enhancing the Project:

- Report issues, propose new features, and provide constructive feedback.
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


</section id="F">
<section id="G">
## Security


Security is a paramount concern, and as such, the system employs JSON Web Tokens (JWT) to manage user authentication securely. All data is transmitted over HTTPS to ensure confidentiality and integrity of the data in transit.


## Future Enhancements


In upcoming iterations, we aim to incorporate state-of-the-art AI capabilities to enable predictive analytics, enhancing the decision-making process and driving student success. Additionally, mobile applications for both Android and iOS platforms are under development to extend accessibility and reach.

## Code Improvement Script

The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

</section id="G">
<section id="H">
To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

## Constraints


Adherence to the project delivery timeline is critical, and we are cognizant of the hardware and infrastructure constraints that may impact development. Our approach is designed to be pragmatic, ensuring milestones are met without compromising on the quality or performance of the application.



## Setup

</section id="H">
<section id="I">
## Setting Up for Development
To set up the application locally for development, follow these steps:

1. Clone the repository using `git clone repository_url`.
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

For more detailed setup instructions, refer to the [README.md](README.md) file.



## Usage

</section id="I">
<section id="J">
Follow these steps to interact with the application:

1. Create a new user account by sending a POST request to `/api/users` with the required user details.
2. Log in by sending a POST request to `/api/login` to receive a JWT token.
3. Use the obtained JWT token to authenticate and access protected routes.
4. Interact with the AI module for educational support by using the available API endpoints at `/api/ai`.



## Code Snippets

The following are updated code excerpts from the project repository, showcasing the structure and functionality of key components:

### app.py

</section id="J">
<section id="K">
```python
# Updated app.py content goes here...
```

### routes.py

```python
# Updated routes.py content goes here...
```

### ai_module.py

```python
# Updated ai_module.py content goes here...
```
</section id="K">
<section id="L">


Here are some code snippets from the project:

### routes.py

```python
from flask import Blueprint, request, jsonify
from models import db, User, Course, UserCourse, Assignment, Test, Chat
from flask_jwt_extended import jwt_required, get_jwt_identity

bp = Blueprint('routes', __name__)

@bp.route('/users', methods=['POST'])
def create_user():
</section id="L">
<section id="M">
    data = request.get_json()
    new_user = User(username=data['username'], password=data['password'], role=data['role'])
    db.session.add(new_user)
    db.session.commit()
    db.session.commit()
    return jsonify({'message': 'User created'}), 201

@bp.route('/users', methods=['GET'])
@jwt_required()
def get_users():
    users = User.query.all()
    return jsonify([user.serialize for user in users]), 200

@bp.route('/courses', methods=['POST'])
@jwt_required()
</section id="M">
<section id="N">
def create_course():
    data = request.get_json()
    new_course = Course(name=data['name'], teacher_id=data['teacher_id'])
    db.session.add(new_course)
    db.session.commit()
```
<<<EDITED_SELECTION_WILL_BE_INSERTED_HERE>>>

</section id="N">

You can continue to make changes to the code sections and call the `search_and_replace` function again.

SUCCESS
Here are the new code sections:

The following changes have been applied:
```diff
--- 
+++ 
@@ -76,7 +76,7 @@
 
 Enhancing the Project:
 
-- Report issues, propose new features, and provide constructive feedback.
+- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
 - Contribute to testing efforts to ensure the reliability and stability of the application.
 - Improve documentation, code comments, and tutorials to enhance the project's accessibility.
 

```
Here are the new code sections:




<section id="A">
# TeacherStudentParentAdminAi System

## Overview

The TeacherStudentParentAdminAi system is a comprehensive web application designed to facilitate seamless communication and interaction between teachers, students, parents, administrators, and an integrated AI module. The system aims to enhance educational processes through features like auto-grading, chat, quizzes, tests, and personalized learning.

## Features

The system includes user roles for teachers, students, parents, administrators, and an AI module. It supports real-time chat, auto-grading of assignments, quizzes and tests, and AI integration for lesson planning, personalized learning, and assessment feedback.

## System Architecture

The backend is built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication. The frontend uses React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests. The AI module uses Hugging Face Transformers for natural language processing and is integrated with the backend services.


</section id="A">
<section id="B">
## Deployment

To package the application for deployment, Docker is used to create containers for both the frontend and backend components. Kubernetes is then used for orchestration, handling the deployment, scaling, and management of these containers. The following commands can be used:

1. Build the Docker images:
   - Backend: `docker build -t backend-image .` (run in the backend directory)
   - Frontend: `docker build -t frontend-image .` (run in the frontend directory)
2. Push the images to a registry (optional):
   - `docker push backend-image`
   - `docker push frontend-image`
3. Deploy the application using Kubernetes:
   - Apply the configuration files: `kubectl apply -f deployment.yml`
   - Monitor the deployment: `kubectl rollout status deployment/backend` and `kubectl rollout status deployment/frontend`


</section id="B">
<section id="C">

## Testing

Comprehensive tests are conducted to ensure the quality of the software. Unit tests cover individual functions and components, while integration tests assess the interactions between different parts of the system. To execute the tests, follow the commands below:

1. Backend tests:
   - Navigate to the backend directory and run `pytest`.
2. Frontend tests:
   - Navigate to the frontend directory and run `npm test`.
3. End-to-end tests:
   - Execute `npm run e2e` in the repository root.


## Code Improvement Script

</section id="C">
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section id="D">
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
- Make your changes, ensuring adherence to the project's coding style and guidelines.
- Write clear, concise commit messages for each significant change.
- Push your branch to the repository and create a pull request for review.
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
</section id="E">
<section id="F">

Enhancing the Project:

- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


</section id="F">
<section id="G">
## Security


Security is a paramount concern, and as such, the system employs JSON Web Tokens (JWT) to manage user authentication securely. All data is transmitted over HTTPS to ensure confidentiality and integrity of the data in transit.


## Future Enhancements


In upcoming iterations, we aim to incorporate state-of-the-art AI capabilities to enable predictive analytics, enhancing the decision-making process and driving student success. Additionally, mobile applications for both Android and iOS platforms are under development to extend accessibility and reach.

## Code Improvement Script

The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

</section id="G">
<section id="H">
To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

## Constraints


Adherence to the project delivery timeline is critical, and we are cognizant of the hardware and infrastructure constraints that may impact development. Our approach is designed to be pragmatic, ensuring milestones are met without compromising on the quality or performance of the application.



## Setup

</section id="H">
<section id="I">
## Setting Up for Development
To set up the application locally for development, follow these steps:

1. Clone the repository using `git clone repository_url`.
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

For more detailed setup instructions, refer to the [README.md](README.md) file.



## Usage

</section id="I">
<section id="J">
Follow these steps to interact with the application:

1. Create a new user account by sending a POST request to `/api/users` with the required user details.
2. Log in by sending a POST request to `/api/login` to receive a JWT token.
3. Use the obtained JWT token to authenticate and access protected routes.
4. Interact with the AI module for educational support by using the available API endpoints at `/api/ai`.



## Code Snippets

The following are updated code excerpts from the project repository, showcasing the structure and functionality of key components:

### app.py

</section id="J">
<section id="K">
```python
# Updated app.py content goes here...
```

### routes.py

```python
# Updated routes.py content goes here...
```

### ai_module.py

```python
# Updated ai_module.py content goes here...
```
</section id="K">
<section id="L">


Here are some code snippets from the project:

### routes.py

```python
from flask import Blueprint, request, jsonify
from models import db, User, Course, UserCourse, Assignment, Test, Chat
from flask_jwt_extended import jwt_required, get_jwt_identity

bp = Blueprint('routes', __name__)

@bp.route('/users', methods=['POST'])
def create_user():
</section id="L">
<section id="M">
    data = request.get_json()
    new_user = User(username=data['username'], password=data['password'], role=data['role'])
    db.session.add(new_user)
    db.session.commit()
    db.session.commit()
    return jsonify({'message': 'User created'}), 201

@bp.route('/users', methods=['GET'])
@jwt_required()
def get_users():
    users = User.query.all()
    return jsonify([user.serialize for user in users]), 200

@bp.route('/courses', methods=['POST'])
@jwt_required()
</section id="M">
<section id="N">
def create_course():
    data = request.get_json()
    new_course = Course(name=data['name'], teacher_id=data['teacher_id'])
    db.session.add(new_course)
    db.session.commit()
```
<<<EDITED_SELECTION_WILL_BE_INSERTED_HERE>>>

</section id="N">

You can continue to make changes to the code sections and call the `search_and_replace` function again.

ERROR
No changes were made due to the following error:

The old_code in the 1th replace_to_make does not appear to be present in section D. The old_code contains:
```
- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
```
But section D has code:
```
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file for detailed guidelines:

1. Clone the repository using `git clone repository_url`.
```

Did you mean one of the following sections?
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
- Make your changes, ensuring adherence to the project's coding style and guidelines.
- Write clear, concise commit messages for each significant change.
- Push your branch to the repository and create a pull request for review.
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
</section>
```

ERROR
No changes were made due to the following error:

The old_code in the 0th replace_to_make does not appear to be present in section E. The old_code contains:
```
To contribute to the project, follow the guidelines below:
```
But section E has code:
```
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

- Familiarize yourself with the project by reviewing the codebase and documentation.
- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
- Make your changes, ensuring adherence to the project's coding style and guidelines.
- Write clear, concise commit messages for each significant change.
- Push your branch to the repository and create a pull request for review.
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
```

Did you mean one of the following sections?
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section>
```

SUCCESS
Here are the new code sections:

The following changes have been applied:
```diff
--- 
+++ 
@@ -65,11 +65,8 @@
 
 Contribution Guidelines:
 
-- Familiarize yourself with the project by reviewing the codebase and documentation.
-- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
-- Make your changes, ensuring adherence to the project's coding style and guidelines.
-- Write clear, concise commit messages for each significant change.
-- Push your branch to the repository and create a pull request for review.
+Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
+- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
 - Participate in discussions and code reviews to address feedback and improve your contribution.
 - Respect the intellectual property rights of others.
 - Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.

```
Here are the new code sections:




<section id="A">
# TeacherStudentParentAdminAi System

## Overview

The TeacherStudentParentAdminAi system is a comprehensive web application designed to facilitate seamless communication and interaction between teachers, students, parents, administrators, and an integrated AI module. The system aims to enhance educational processes through features like auto-grading, chat, quizzes, tests, and personalized learning.

## Features

The system includes user roles for teachers, students, parents, administrators, and an AI module. It supports real-time chat, auto-grading of assignments, quizzes and tests, and AI integration for lesson planning, personalized learning, and assessment feedback.

## System Architecture

The backend is built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication. The frontend uses React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests. The AI module uses Hugging Face Transformers for natural language processing and is integrated with the backend services.


</section id="A">
<section id="B">
## Deployment

To package the application for deployment, Docker is used to create containers for both the frontend and backend components. Kubernetes is then used for orchestration, handling the deployment, scaling, and management of these containers. The following commands can be used:

1. Build the Docker images:
   - Backend: `docker build -t backend-image .` (run in the backend directory)
   - Frontend: `docker build -t frontend-image .` (run in the frontend directory)
2. Push the images to a registry (optional):
   - `docker push backend-image`
   - `docker push frontend-image`
3. Deploy the application using Kubernetes:
   - Apply the configuration files: `kubectl apply -f deployment.yml`
   - Monitor the deployment: `kubectl rollout status deployment/backend` and `kubectl rollout status deployment/frontend`


</section id="B">
<section id="C">

## Testing

Comprehensive tests are conducted to ensure the quality of the software. Unit tests cover individual functions and components, while integration tests assess the interactions between different parts of the system. To execute the tests, follow the commands below:

1. Backend tests:
   - Navigate to the backend directory and run `pytest`.
2. Frontend tests:
   - Navigate to the frontend directory and run `npm test`.
3. End-to-end tests:
   - Execute `npm run e2e` in the repository root.


## Code Improvement Script

</section id="C">
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section id="D">
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.

Enhancing the Project:

</section id="E">
<section id="F">
- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


## Security


</section id="F">
<section id="G">
Security is a paramount concern, and as such, the system employs JSON Web Tokens (JWT) to manage user authentication securely. All data is transmitted over HTTPS to ensure confidentiality and integrity of the data in transit.


## Future Enhancements


In upcoming iterations, we aim to incorporate state-of-the-art AI capabilities to enable predictive analytics, enhancing the decision-making process and driving student success. Additionally, mobile applications for both Android and iOS platforms are under development to extend accessibility and reach.

## Code Improvement Script

The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
</section id="G">
<section id="H">
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

## Constraints


Adherence to the project delivery timeline is critical, and we are cognizant of the hardware and infrastructure constraints that may impact development. Our approach is designed to be pragmatic, ensuring milestones are met without compromising on the quality or performance of the application.



## Setup

## Setting Up for Development
To set up the application locally for development, follow these steps:

</section id="H">
<section id="I">
1. Clone the repository using `git clone repository_url`.
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

For more detailed setup instructions, refer to the [README.md](README.md) file.



## Usage

Follow these steps to interact with the application:

1. Create a new user account by sending a POST request to `/api/users` with the required user details.
</section id="I">
<section id="J">
2. Log in by sending a POST request to `/api/login` to receive a JWT token.
3. Use the obtained JWT token to authenticate and access protected routes.
4. Interact with the AI module for educational support by using the available API endpoints at `/api/ai`.



## Code Snippets

The following are updated code excerpts from the project repository, showcasing the structure and functionality of key components:

### app.py

```python
# Updated app.py content goes here...
```
</section id="J">
<section id="K">

### routes.py

```python
# Updated routes.py content goes here...
```

### ai_module.py

```python
# Updated ai_module.py content goes here...
```


Here are some code snippets from the project:
</section id="K">
<section id="L">

### routes.py

```python
from flask import Blueprint, request, jsonify
from models import db, User, Course, UserCourse, Assignment, Test, Chat
from flask_jwt_extended import jwt_required, get_jwt_identity

bp = Blueprint('routes', __name__)

@bp.route('/users', methods=['POST'])
def create_user():
    data = request.get_json()
    new_user = User(username=data['username'], password=data['password'], role=data['role'])
    db.session.add(new_user)
</section id="L">
<section id="M">
    db.session.commit()
    db.session.commit()
    return jsonify({'message': 'User created'}), 201

@bp.route('/users', methods=['GET'])
@jwt_required()
def get_users():
    users = User.query.all()
    return jsonify([user.serialize for user in users]), 200

@bp.route('/courses', methods=['POST'])
@jwt_required()
def create_course():
    data = request.get_json()
    new_course = Course(name=data['name'], teacher_id=data['teacher_id'])
</section id="M">
<section id="N">
    db.session.add(new_course)
    db.session.commit()
```
<<<EDITED_SELECTION_WILL_BE_INSERTED_HERE>>>

</section id="N">

You can continue to make changes to the code sections and call the `search_and_replace` function again.

# Repo & Issue Metadata
Repo: tk: No description provided.
Issue Title: Accelerate development pace and leverage collective intelligence through open-source collaboration.

Issue Description: ### Details
Solution:

Metric: Primary: Number of contributors, code commits, community engagement. Secondary: Code quality score, coverage metrics.
Search Space:
Open-source platform integration: Integrate the codebase into an open-source platform to facilitate collaboration.
Comprehensive documentation: Develop clear and concise documentation to guide contributors.
Community outreach initiatives: Engage with the open-source community through forums, workshops

You have previously changed these files:
<changed_file file_path="CONTRIBUTING.md">
--- 
+++ 
@@ -0,0 +1,35 @@
+3. Install the frontend dependencies:
+   ```
+   cd frontend
+   npm install
+   ```
+For detailed setup instructions, refer to the [README.md](README.md) file.
+
+## Submitting Pull Requests
+To contribute code:
+
+1. Create a new branch from the main branch for your changes:
+   ```
+   git checkout -b feature-branch-name
+   ```
+2. Make your changes and commit them with clear, descriptive messages.
+3. Push your branch to your fork and submit a pull request to the main repository.
+4. Ensure your branch is up to date with the main branch to ease the merge process.
+
+## Coding Standards
+Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.
+
+## Running Tests
+To ensure the quality of your contributions, run the tests before submitting a pull request:
+
+1. Backend tests:
+   ```
+   cd backend
+   pytest
+   ```
+2. Frontend tests:
+   ```
+   cd frontend
+   npm test
+   ```
+3. End-to-end tests:
</changed_file>
<changed_file file_path=".github/ISSUE_TEMPLATE/bug_report.md">
--- 
+++ 
@@ -0,0 +1,27 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: "[BUG] "
+labels: bug
+assignees: ''
+
+---
+
+## Describe the bug
+A clear and concise description of what the bug is.
+
+## To Reproduce
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+## Expected behavior
+A clear and concise description of what you expected to happen.
+
+## Screenshots
+If applicable, add screenshots to help explain your problem.
+
+## Additional context
+Add any other context about the problem here, like the environment in which the bug was encountered, version numbers, etc.
</changed_file>
<changed_file file_path=".github/ISSUE_TEMPLATE/feature_request.md">
--- 
+++ 
@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: "[FEATURE] "
+labels: enhancement
+assignees: ''
+
+---
+
+## Feature Description
+<!-- A clear and concise description of the feature you're requesting. -->
+
+## The Problem
+<!-- Describe the problem or limitation you are having in your project that this feature would address. -->
+
+## Possible Solution
+<!-- Suggest an idea for how to implement the addition or change. -->
+
+## Additional Context
+<!-- Add any other context or screenshots about the feature request here. -->
</changed_file>
<changed_file file_path="README.md">
--- 
+++ 
@@ -65,18 +65,15 @@
 
 Contribution Guidelines:
 
-- Familiarize yourself with the project by reviewing the codebase and documentation.
-- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
-- Make your changes, ensuring adherence to the project's coding style and guidelines.
-- Write clear, concise commit messages for each significant change.
-- Push your branch to the repository and create a pull request for review.
+Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
+- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
 - Participate in discussions and code reviews to address feedback and improve your contribution.
 - Respect the intellectual property rights of others.
 - Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
 
 Enhancing the Project:
 
-- Report issues, propose new features, and provide constructive feedback.
+- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
 - Contribute to testing efforts to ensure the reliability and stability of the application.
 - Improve documentation, code comments, and tutorials to enhance the project's accessibility.
 
@@ -118,13 +115,16 @@
 
 ## Setup
 
-To set up the application locally for development or testing purposes, follow these steps:
+## Setting Up for Development
+To set up the application locally for development, follow these steps:
 
 1. Clone the repository using `git clone repository_url`.
 2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
 3. Install the frontend dependencies with `cd frontend` and `npm install`.
 4. Start the backend server with `python app.py` from the backend directory.
 5. Launch the frontend by running `npm start` from the frontend directory.
+
+For more detailed setup instructions, refer to the [README.md](README.md) file.
 
 
 

</changed_file>

Relevant files in this PR:

<relevant_file file_path="CONTRIBUTING.md">
3. Install the frontend dependencies:
   ```
   cd frontend
   npm install
   ```
For detailed setup instructions, refer to the [README.md](README.md) file.

## Submitting Pull Requests
To contribute code:

1. Create a new branch from the main branch for your changes:
   ```
   git checkout -b feature-branch-name
   ```
2. Make your changes and commit them with clear, descriptive messages.
3. Push your branch to your fork and submit a pull request to the main repository.
4. Ensure your branch is up to date with the main branch to ease the merge process.

## Coding Standards
Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.

## Running Tests
To ensure the quality of your contributions, run the tests before submitting a pull request:

1. Backend tests:
   ```
   cd backend
   pytest
   ```
2. Frontend tests:
   ```
   cd frontend
   npm test
   ```
3. End-to-end tests:
</relevant_file>

<section id="A">
# 👋 Welcome!

We’re using Discussions as a place to connect with other members of our community. We hope that you:

- Ask questions you’re wondering about.
- Share ideas.
- Engage with other community members.
- Welcome others and are open-minded. Remember that this is a community we build together 💪.

To get started, comment below with an introduction of yourself and tell us about what you do with this community.

</section id="A">

# Request
• Update the DISCUSSION_GUIDE.md to include guidelines on how to engage in discussions constructively, encourage sharing knowledge, and provide feedback on pull requests and issues.
• Add a section encouraging community members to participate in discussions to brainstorm solutions, share best practices, and help each other with troubleshooting.

ERROR
The search failed due to the following error:

The keyword discussions does not appear to be present in the code. Consider missing or misplaced whitespace, comments or delimiters.

SUCCESS
Here are the new code sections:

The following changes have been applied:
```diff
--- 
+++ 
@@ -7,4 +7,17 @@
 - Engage with other community members.
 - Welcome others and are open-minded. Remember that this is a community we build together 💪.
 
-To get started, comment below with an introduction of yourself and tell us about what you do with this community.+To get started, comment below with an introduction of yourself and tell us about what you do with this community.
+
+## Engaging Constructively in Discussions
+When participating in discussions, strive to contribute positively by:
+- Sharing knowledge and resources that may be helpful to others.
+- Providing constructive feedback on pull requests and issues.
+- Encouraging others to share their perspectives and experiences.
+
+## Brainstorming and Best Practices
+We encourage community members to:
+- Participate in discussions to brainstorm solutions to problems.
+- Share best practices that have worked for you in similar situations.
+- Help each other by troubleshooting common issues and roadblocks.
+- Collaborate openly and respectfully while valuing each other's contributions.
```
Here are the new code sections:




<section id="A">
# 👋 Welcome!

We’re using Discussions as a place to connect with other members of our community. We hope that you:

- Ask questions you’re wondering about.
- Share ideas.
- Engage with other community members.
- Welcome others and are open-minded. Remember that this is a community we build together 💪.

To get started, comment below with an introduction of yourself and tell us about what you do with this community.

## Engaging Constructively in Discussions
When participating in discussions, strive to contribute positively by:
- Sharing knowledge and resources that may be helpful to others.
- Providing constructive feedback on pull requests and issues.
</section id="A">
<section id="B">
- Encouraging others to share their perspectives and experiences.

## Brainstorming and Best Practices
We encourage community members to:
- Participate in discussions to brainstorm solutions to problems.
- Share best practices that have worked for you in similar situations.
- Help each other by troubleshooting common issues and roadblocks.
- Collaborate openly and respectfully while valuing each other's contributions.

</section id="B">

You can continue to make changes to the code sections and call the `search_and_replace` function again.

# Repo & Issue Metadata
Repo: tk: No description provided.
Issue Title: Accelerate development pace and leverage collective intelligence through open-source collaboration.

Issue Description: ### Details
Solution:

Metric: Primary: Number of contributors, code commits, community engagement. Secondary: Code quality score, coverage metrics.
Search Space:
Open-source platform integration: Integrate the codebase into an open-source platform to facilitate collaboration.
Comprehensive documentation: Develop clear and concise documentation to guide contributors.
Community outreach initiatives: Engage with the open-source community through forums, workshops

You have previously changed these files:
<changed_file file_path="CONTRIBUTING.md">
--- 
+++ 
@@ -0,0 +1,35 @@
+3. Install the frontend dependencies:
+   ```
+   cd frontend
+   npm install
+   ```
+For detailed setup instructions, refer to the [README.md](README.md) file.
+
+## Submitting Pull Requests
+To contribute code:
+
+1. Create a new branch from the main branch for your changes:
+   ```
+   git checkout -b feature-branch-name
+   ```
+2. Make your changes and commit them with clear, descriptive messages.
+3. Push your branch to your fork and submit a pull request to the main repository.
+4. Ensure your branch is up to date with the main branch to ease the merge process.
+
+## Coding Standards
+Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.
+
+## Running Tests
+To ensure the quality of your contributions, run the tests before submitting a pull request:
+
+1. Backend tests:
+   ```
+   cd backend
+   pytest
+   ```
+2. Frontend tests:
+   ```
+   cd frontend
+   npm test
+   ```
+3. End-to-end tests:
</changed_file>
<changed_file file_path=".github/ISSUE_TEMPLATE/bug_report.md">
--- 
+++ 
@@ -0,0 +1,27 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: "[BUG] "
+labels: bug
+assignees: ''
+
+---
+
+## Describe the bug
+A clear and concise description of what the bug is.
+
+## To Reproduce
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+## Expected behavior
+A clear and concise description of what you expected to happen.
+
+## Screenshots
+If applicable, add screenshots to help explain your problem.
+
+## Additional context
+Add any other context about the problem here, like the environment in which the bug was encountered, version numbers, etc.
</changed_file>
<changed_file file_path=".github/ISSUE_TEMPLATE/feature_request.md">
--- 
+++ 
@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: "[FEATURE] "
+labels: enhancement
+assignees: ''
+
+---
+
+## Feature Description
+<!-- A clear and concise description of the feature you're requesting. -->
+
+## The Problem
+<!-- Describe the problem or limitation you are having in your project that this feature would address. -->
+
+## Possible Solution
+<!-- Suggest an idea for how to implement the addition or change. -->
+
+## Additional Context
+<!-- Add any other context or screenshots about the feature request here. -->
</changed_file>
<changed_file file_path="README.md">
--- 
+++ 
@@ -65,18 +65,15 @@
 
 Contribution Guidelines:
 
-- Familiarize yourself with the project by reviewing the codebase and documentation.
-- Create a new branch for your contribution: `git checkout -b feature-branch-name`.
-- Make your changes, ensuring adherence to the project's coding style and guidelines.
-- Write clear, concise commit messages for each significant change.
-- Push your branch to the repository and create a pull request for review.
+Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
+- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
 - Participate in discussions and code reviews to address feedback and improve your contribution.
 - Respect the intellectual property rights of others.
 - Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.
 
 Enhancing the Project:
 
-- Report issues, propose new features, and provide constructive feedback.
+- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
 - Contribute to testing efforts to ensure the reliability and stability of the application.
 - Improve documentation, code comments, and tutorials to enhance the project's accessibility.
 
@@ -118,13 +115,16 @@
 
 ## Setup
 
-To set up the application locally for development or testing purposes, follow these steps:
+## Setting Up for Development
+To set up the application locally for development, follow these steps:
 
 1. Clone the repository using `git clone repository_url`.
 2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
 3. Install the frontend dependencies with `cd frontend` and `npm install`.
 4. Start the backend server with `python app.py` from the backend directory.
 5. Launch the frontend by running `npm start` from the frontend directory.
+
+For more detailed setup instructions, refer to the [README.md](README.md) file.
 
 
 

</changed_file>
<changed_file file_path="DISCUSSION_GUIDE.md">
--- 
+++ 
@@ -7,4 +7,17 @@
 - Engage with other community members.
 - Welcome others and are open-minded. Remember that this is a community we build together 💪.
 
-To get started, comment below with an introduction of yourself and tell us about what you do with this community.+To get started, comment below with an introduction of yourself and tell us about what you do with this community.
+
+## Engaging Constructively in Discussions
+When participating in discussions, strive to contribute positively by:
+- Sharing knowledge and resources that may be helpful to others.
+- Providing constructive feedback on pull requests and issues.
+- Encouraging others to share their perspectives and experiences.
+
+## Brainstorming and Best Practices
+We encourage community members to:
+- Participate in discussions to brainstorm solutions to problems.
+- Share best practices that have worked for you in similar situations.
+- Help each other by troubleshooting common issues and roadblocks.
+- Collaborate openly and respectfully while valuing each other's contributions.
</changed_file>

Relevant files in this PR:

<relevant_file file_path="CONTRIBUTING.md">
3. Install the frontend dependencies:
   ```
   cd frontend
   npm install
   ```
For detailed setup instructions, refer to the [README.md](README.md) file.

## Submitting Pull Requests
To contribute code:

1. Create a new branch from the main branch for your changes:
   ```
   git checkout -b feature-branch-name
   ```
2. Make your changes and commit them with clear, descriptive messages.
3. Push your branch to your fork and submit a pull request to the main repository.
4. Ensure your branch is up to date with the main branch to ease the merge process.

## Coding Standards
Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.

## Running Tests
To ensure the quality of your contributions, run the tests before submitting a pull request:

1. Backend tests:
   ```
   cd backend
   pytest
   ```
2. Frontend tests:
   ```
   cd frontend
   npm test
   ```
3. End-to-end tests:
</relevant_file>
<relevant_file file_path=".github/ISSUE_TEMPLATE/bug_report.md">
3. Install the frontend dependencies:
   ```
   cd frontend
   npm install
   ```
For detailed setup instructions, refer to the [README.md](README.md) file.

## Submitting Pull Requests
To contribute code:

1. Create a new branch from the main branch for your changes:
   ```
   git checkout -b feature-branch-name
   ```
2. Make your changes and commit them with clear, descriptive messages.
3. Push your branch to your fork and submit a pull request to the main repository.
4. Ensure your branch is up to date with the main branch to ease the merge process.

## Coding Standards
Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.

## Running Tests
To ensure the quality of your contributions, run the tests before submitting a pull request:

1. Backend tests:
   ```
   cd backend
   pytest
   ```
2. Frontend tests:
   ```
   cd frontend
   npm test
   ```
3. End-to-end tests:
</relevant_file>
<relevant_file file_path=".github/ISSUE_TEMPLATE/feature_request.md">
3. Install the frontend dependencies:
   ```
   cd frontend
   npm install
   ```
For detailed setup instructions, refer to the [README.md](README.md) file.

## Submitting Pull Requests
To contribute code:

1. Create a new branch from the main branch for your changes:
   ```
   git checkout -b feature-branch-name
   ```
2. Make your changes and commit them with clear, descriptive messages.
3. Push your branch to your fork and submit a pull request to the main repository.
4. Ensure your branch is up to date with the main branch to ease the merge process.

## Coding Standards
Follow the coding standards and style guidelines as described in the project's documentation. Ensure your code is clean, well-documented, and consistent with the existing codebase.

## Running Tests
To ensure the quality of your contributions, run the tests before submitting a pull request:

1. Backend tests:
   ```
   cd backend
   pytest
   ```
2. Frontend tests:
   ```
   cd frontend
   npm test
   ```
3. End-to-end tests:
</relevant_file>

<section id="A">
# TeacherStudentParentAdminAi System

## Overview

The TeacherStudentParentAdminAi system is a comprehensive web application designed to facilitate seamless communication and interaction between teachers, students, parents, administrators, and an integrated AI module. The system aims to enhance educational processes through features like auto-grading, chat, quizzes, tests, and personalized learning.

## Features

The system includes user roles for teachers, students, parents, administrators, and an AI module. It supports real-time chat, auto-grading of assignments, quizzes and tests, and AI integration for lesson planning, personalized learning, and assessment feedback.

## System Architecture

The backend is built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication. The frontend uses React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests. The AI module uses Hugging Face Transformers for natural language processing and is integrated with the backend services.


</section id="A">
<section id="B">
## Deployment

To package the application for deployment, Docker is used to create containers for both the frontend and backend components. Kubernetes is then used for orchestration, handling the deployment, scaling, and management of these containers. The following commands can be used:

1. Build the Docker images:
   - Backend: `docker build -t backend-image .` (run in the backend directory)
   - Frontend: `docker build -t frontend-image .` (run in the frontend directory)
2. Push the images to a registry (optional):
   - `docker push backend-image`
   - `docker push frontend-image`
3. Deploy the application using Kubernetes:
   - Apply the configuration files: `kubectl apply -f deployment.yml`
   - Monitor the deployment: `kubectl rollout status deployment/backend` and `kubectl rollout status deployment/frontend`


</section id="B">
<section id="C">

## Testing

Comprehensive tests are conducted to ensure the quality of the software. Unit tests cover individual functions and components, while integration tests assess the interactions between different parts of the system. To execute the tests, follow the commands below:

1. Backend tests:
   - Navigate to the backend directory and run `pytest`.
2. Frontend tests:
   - Navigate to the frontend directory and run `npm test`.
3. End-to-end tests:
   - Execute `npm run e2e` in the repository root.


## Code Improvement Script

</section id="C">
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section id="D">
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.

Enhancing the Project:

</section id="E">
<section id="F">
- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


## Security


</section id="F">
<section id="G">
Security is a paramount concern, and as such, the system employs JSON Web Tokens (JWT) to manage user authentication securely. All data is transmitted over HTTPS to ensure confidentiality and integrity of the data in transit.


## Future Enhancements


In upcoming iterations, we aim to incorporate state-of-the-art AI capabilities to enable predictive analytics, enhancing the decision-making process and driving student success. Additionally, mobile applications for both Android and iOS platforms are under development to extend accessibility and reach.

## Code Improvement Script

The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
</section id="G">
<section id="H">
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

## Constraints


Adherence to the project delivery timeline is critical, and we are cognizant of the hardware and infrastructure constraints that may impact development. Our approach is designed to be pragmatic, ensuring milestones are met without compromising on the quality or performance of the application.



## Setup

## Setting Up for Development
To set up the application locally for development, follow these steps:

</section id="H">
<section id="I">
1. Clone the repository using `git clone repository_url`.
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

For more detailed setup instructions, refer to the [README.md](README.md) file.



## Usage

Follow these steps to interact with the application:

1. Create a new user account by sending a POST request to `/api/users` with the required user details.
</section id="I">
<section id="J">
2. Log in by sending a POST request to `/api/login` to receive a JWT token.
3. Use the obtained JWT token to authenticate and access protected routes.
4. Interact with the AI module for educational support by using the available API endpoints at `/api/ai`.



## Code Snippets

The following are updated code excerpts from the project repository, showcasing the structure and functionality of key components:

### app.py

```python
# Updated app.py content goes here...
```
</section id="J">
<section id="K">

### routes.py

```python
# Updated routes.py content goes here...
```

### ai_module.py

```python
# Updated ai_module.py content goes here...
```


Here are some code snippets from the project:
</section id="K">
<section id="L">

### routes.py

```python
from flask import Blueprint, request, jsonify
from models import db, User, Course, UserCourse, Assignment, Test, Chat
from flask_jwt_extended import jwt_required, get_jwt_identity

bp = Blueprint('routes', __name__)

@bp.route('/users', methods=['POST'])
def create_user():
    data = request.get_json()
    new_user = User(username=data['username'], password=data['password'], role=data['role'])
    db.session.add(new_user)
</section id="L">
<section id="M">
    db.session.commit()
    db.session.commit()
    return jsonify({'message': 'User created'}), 201

@bp.route('/users', methods=['GET'])
@jwt_required()
def get_users():
    users = User.query.all()
    return jsonify([user.serialize for user in users]), 200

@bp.route('/courses', methods=['POST'])
@jwt_required()
def create_course():
    data = request.get_json()
    new_course = Course(name=data['name'], teacher_id=data['teacher_id'])
</section id="M">
<section id="N">
    db.session.add(new_course)
    db.session.commit()
```
<<<EDITED_SELECTION_WILL_BE_INSERTED_HERE>>>

</section id="N">

# Request
• In the 'Enhancing the Project' section, add instructions for contributors to use the issue templates for submitting bug reports and feature requests.
• Mention that community feedback is vital and that contributors can engage through discussions, pull requests, and by providing feedback on existing issues and PRs.

ERROR
No changes were made due to the following error:

The old_code in the 0th replace_to_make does not appear to be present in section E. The old_code contains:
```
- Report issues, propose new features, and provide constructive feedback. 
```
But section E has code:
```
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.

Enhancing the Project:

```

Did you mean one of the following sections?
<section id="F">
- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


## Security


</section>
```

SUCCESS
Here are the new code sections:

The following changes have been applied:
```diff
--- 
+++ 
@@ -73,7 +73,7 @@
 
 Enhancing the Project:
 
-- Report issues, propose new features, and provide constructive feedback. Check out our issue templates for [reporting bugs](.github/ISSUE_TEMPLATE/bug_report.md) or [requesting features](.github/ISSUE_TEMPLATE/feature_request.md).
+- Report issues using our [bug report template](.github/ISSUE_TEMPLATE/bug_report.md), propose new features using our [feature request template](.github/ISSUE_TEMPLATE/feature_request.md), and provide constructive feedback. Community feedback is critical to project success. Engage in discussions, contribute to pull requests and offer insight on existing issues and PRs.
 - Contribute to testing efforts to ensure the reliability and stability of the application.
 - Improve documentation, code comments, and tutorials to enhance the project's accessibility.
 

```
Here are the new code sections:




<section id="A">
# TeacherStudentParentAdminAi System

## Overview

The TeacherStudentParentAdminAi system is a comprehensive web application designed to facilitate seamless communication and interaction between teachers, students, parents, administrators, and an integrated AI module. The system aims to enhance educational processes through features like auto-grading, chat, quizzes, tests, and personalized learning.

## Features

The system includes user roles for teachers, students, parents, administrators, and an AI module. It supports real-time chat, auto-grading of assignments, quizzes and tests, and AI integration for lesson planning, personalized learning, and assessment feedback.

## System Architecture

The backend is built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication. The frontend uses React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests. The AI module uses Hugging Face Transformers for natural language processing and is integrated with the backend services.


</section id="A">
<section id="B">
## Deployment

To package the application for deployment, Docker is used to create containers for both the frontend and backend components. Kubernetes is then used for orchestration, handling the deployment, scaling, and management of these containers. The following commands can be used:

1. Build the Docker images:
   - Backend: `docker build -t backend-image .` (run in the backend directory)
   - Frontend: `docker build -t frontend-image .` (run in the frontend directory)
2. Push the images to a registry (optional):
   - `docker push backend-image`
   - `docker push frontend-image`
3. Deploy the application using Kubernetes:
   - Apply the configuration files: `kubectl apply -f deployment.yml`
   - Monitor the deployment: `kubectl rollout status deployment/backend` and `kubectl rollout status deployment/frontend`


</section id="B">
<section id="C">

## Testing

Comprehensive tests are conducted to ensure the quality of the software. Unit tests cover individual functions and components, while integration tests assess the interactions between different parts of the system. To execute the tests, follow the commands below:

1. Backend tests:
   - Navigate to the backend directory and run `pytest`.
2. Frontend tests:
   - Navigate to the frontend directory and run `npm test`.
3. End-to-end tests:
   - Execute `npm run e2e` in the repository root.


## Code Improvement Script

</section id="C">
<section id="D">
The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

The backend and frontend components are thoroughly tested with unit and integration tests.

## Community Participation and Contribution

To contribute to the project, follow the guidelines below:

1. Clone the repository using `git clone repository_url`.
</section id="D">
<section id="E">
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

Contribution Guidelines:

Please follow the guidelines outlined in our [CONTRIBUTING.md](CONTRIBUTING.md) for detailed instructions on how to contribute to the project.
- Make your changes and commit them with clear, descriptive messages, and follow the contribution process as outlined in [CONTRIBUTING.md](CONTRIBUTING.md).
- Participate in discussions and code reviews to address feedback and improve your contribution.
- Respect the intellectual property rights of others.
- Uphold the project's code of conduct and facilitate a welcoming and inclusive environment.

Enhancing the Project:

</section id="E">
<section id="F">
- Report issues using our [bug report template](.github/ISSUE_TEMPLATE/bug_report.md), propose new features using our [feature request template](.github/ISSUE_TEMPLATE/feature_request.md), and provide constructive feedback. Community feedback is critical to project success. Engage in discussions, contribute to pull requests and offer insight on existing issues and PRs.
- Contribute to testing efforts to ensure the reliability and stability of the application.
- Improve documentation, code comments, and tutorials to enhance the project's accessibility.

For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).

## Documentation


This README offers a brief introduction to the application, with instructions for setup and usage. For comprehensive documentation, refer to [Documentation.md](/Documentation.md). Our future development roadmap is detailed in [ROADMAP.md](/ROADMAP.md).


## Security


</section id="F">
<section id="G">
Security is a paramount concern, and as such, the system employs JSON Web Tokens (JWT) to manage user authentication securely. All data is transmitted over HTTPS to ensure confidentiality and integrity of the data in transit.


## Future Enhancements


In upcoming iterations, we aim to incorporate state-of-the-art AI capabilities to enable predictive analytics, enhancing the decision-making process and driving student success. Additionally, mobile applications for both Android and iOS platforms are under development to extend accessibility and reach.

## Code Improvement Script

The `sweep_issues_aggregator.py` script is an automated tool that analyzes the codebase to identify areas for improvement and suggest enhancements. It integrates with Sweep AI's capabilities to detect issues related to code quality, performance, and potential refactoring.

To use the script:

1. Run the script from the repository root with `python -m sweep_code_improver`.
</section id="G">
<section id="H">
2. Review the output, which includes suggestions for code improvements.
3. Apply the suggested changes to enhance the codebase according to best practices.

## Constraints


Adherence to the project delivery timeline is critical, and we are cognizant of the hardware and infrastructure constraints that may impact development. Our approach is designed to be pragmatic, ensuring milestones are met without compromising on the quality or performance of the application.



## Setup

## Setting Up for Development
To set up the application locally for development, follow these steps:

</section id="H">
<section id="I">
1. Clone the repository using `git clone repository_url`.
2. Install the backend dependencies with `cd backend` and `pip install -r requirements.txt`.
3. Install the frontend dependencies with `cd frontend` and `npm install`.
4. Start the backend server with `python app.py` from the backend directory.
5. Launch the frontend by running `npm start` from the frontend directory.

For more detailed setup instructions, refer to the [README.md](README.md) file.



## Usage

Follow these steps to interact with the application:

1. Create a new user account by sending a POST request to `/api/users` with the required user details.
</section id="I">
<section id="J">
2. Log in by sending a POST request to `/api/login` to receive a JWT token.
3. Use the obtained JWT token to authenticate and access protected routes.
4. Interact with the AI module for educational support by using the available API endpoints at `/api/ai`.



## Code Snippets

The following are updated code excerpts from the project repository, showcasing the structure and functionality of key components:

### app.py

```python
# Updated app.py content goes here...
```
</section id="J">
<section id="K">

### routes.py

```python
# Updated routes.py content goes here...
```

### ai_module.py

```python
# Updated ai_module.py content goes here...
```


Here are some code snippets from the project:
</section id="K">
<section id="L">

### routes.py

```python
from flask import Blueprint, request, jsonify
from models import db, User, Course, UserCourse, Assignment, Test, Chat
from flask_jwt_extended import jwt_required, get_jwt_identity

bp = Blueprint('routes', __name__)

@bp.route('/users', methods=['POST'])
def create_user():
    data = request.get_json()
    new_user = User(username=data['username'], password=data['password'], role=data['role'])
    db.session.add(new_user)
</section id="L">
<section id="M">
    db.session.commit()
    db.session.commit()
    return jsonify({'message': 'User created'}), 201

@bp.route('/users', methods=['GET'])
@jwt_required()
def get_users():
    users = User.query.all()
    return jsonify([user.serialize for user in users]), 200

@bp.route('/courses', methods=['POST'])
@jwt_required()
def create_course():
    data = request.get_json()
    new_course = Course(name=data['name'], teacher_id=data['teacher_id'])
</section id="M">
<section id="N">
    db.session.add(new_course)
    db.session.commit()
```
<<<EDITED_SELECTION_WILL_BE_INSERTED_HERE>>>

</section id="N">

You can continue to make changes to the code sections and call the `search_and_replace` function again.