Here’s the README file text separated for easier copying:
# Predictive API
This project is a predictive maintenance API built with Flask and MySQL, designed to integrate with the Fixed Asset Management System.## Setup
### Create the `predictive-api` Folder
1. Create a folder named `predictive-api` for the project.### Installation
To install the necessary dependencies, run the following commands:
```bash
pip install Flask
pip install mysql-connector-python
pip freeze > requirements.txtThis will install Flask and MySQL Connector, and save the installed packages to requirements.txt.
### Section 4: Running the API
```markdown
### Running the API
1. Activate the virtual environment:
```bash
.\venv\Scripts\activate
-
Run the Flask application:
python app.py
### Section 5: Checking if the API is Working
```markdown
### Checking if the API is Working
#### Option 1: Using PowerShell
Run the following command in PowerShell to test the API:
```powershell
Invoke-RestMethod -Uri http://127.0.0.1:5000/predict -Method POST -Headers @{'Content-Type'='application/json'} -Body '{"repair_count": 3, "average_cost": 2000, "time_between_repairs": 100}'
Open a web browser and go to:
http://127.0.0.1:5000/
You should see the following output:
Flask app is running!
### Section 6: Integration with Fixed Asset Management System
```markdown
## Integration with Fixed Asset Management System
In the `fixed-asset-management-system` project, run the following command to process the queue:
```bash
php artisan queue:work
This will start the queue worker for processing background jobs.
These sections can be copied and used individually as needed. Let me know if you need any further adjustments!