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https://github.com/tusharpamnani/dbms-lab-project

A mini project made for DBMS Lab. This implements the learnings of SQL
https://github.com/tusharpamnani/dbms-lab-project

flask project sql

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A mini project made for DBMS Lab. This implements the learnings of SQL

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README 

        
# COVID Care Center Management Application



This Flask application facilitates the management of a COVID care center, enabling seamless registration, login, and bed booking functionalities for both patients and hospital staff.



## Features:



- **User Management:**

  - Patients can register by providing their SRFID, email address, and date of birth.

  - Hospital staff can register using their hospital code, email address, and password (hashed for security).

  - Secure login mechanism for both patients and staff.

- **Hospital Data Management:**

  - Hospital staff can add, edit, and delete hospital information, including name and bed capacity (normal, HICU, ICU, ventilator).

- **Patient Slot Booking:**

  - Patients can search for available beds (normal, HICU, ICU, ventilator) across different hospitals.

  - Patients can book a slot by specifying their SRFID, bed type, desired hospital (using the hospital code), and additional details (SPO2 level, name, phone number, address).

  - The application updates hospital bed availability in real-time upon successful booking.



## Dependencies:



- Flask: A lightweight web framework for building Python web applications. ([https://flask.palletsprojects.com/](https://flask.palletsprojects.com/))

- Flask-SQLAlchemy: Enables interaction with a relational database using SQLAlchemy. ([https://flask-sqlalchemy.palletsprojects.com/](https://flask-sqlalchemy.palletsprojects.com/))

- Flask-Login: Implements user authentication functionalities for Flask applications. ([https://flask.palletsprojects.com/en/2.3.x/](https://flask.palletsprojects.com/en/2.3.x/))



## Optional Dependencies: 



- Flask-Mail (for sending email notifications - not currently implemented)



## Database:



The application leverages a MySQL database to store user information, hospital details, and patient bookings.



## Getting Started:



1. **Prerequisites:** Ensure you have Python and the required dependencies (Flask, Flask-SQLAlchemy, Flask-Login) installed.

   - You can install them using `pip install Flask Flask-SQLAlchemy Flask-Login`.

2. **Database Configuration:**

   - Replace the placeholder connection details in the `app.config` section of `main.py` with your actual MySQL credentials (host, username, password, database name).

3. **Run the Application:**

   - Navigate to the application directory in your terminal and execute `flask run`. This will start the development server, and you can typically access the application at `http://127.0.0.1:5000/` (or the port specified in your configuration).



## Additional Notes:



- The provided code (`main.py`) includes comments to enhance readability and understanding.

- Certain functionalities, such as email notifications, are commented out and require further configuration for activation.

- Error handling and security measures can be further strengthened to ensure a robust application.



## Database Schema (`covid.sql`):



The `covid.sql` script establishes the database structure for the application. Here's a breakdown of the tables:



1. **user:** Stores patient data (SRFID, email, date of birth).

2. **hospitaluser:** Manages hospital staff information (hospital code, email, hashed password).

3. **hospitaldata:** Contains hospital details (code, name, bed capacity for normal, HICU, ICU, ventilator beds).

4. **bookingpatient:** Tracks patient bed bookings (SRFID, bed type, hospital code, SPO2 level, patient name, phone number, address).

5. **test:** Likely a temporary table used for testing purposes (contains names).

6. **trig:** Stores triggers fired on insert, update, and delete operations on the `hospitaldata` table. It includes hospital code, bed capacity details, query type (INSERTED, UPDATED, DELETED), and timestamp.



These triggers maintain a log of hospital data modifications for auditing purposes.