Yash Mishra 21f1006461@ds.study.iitm.ac.in
https://drive.google.com/file/d/1ihIMQgZEJOAEUEwdQf85yIRldis8BDKY/view?usp=sharing
The Library Management System is a modern solution for efficiently managing e-books and sections in a library environment. Developed using Flask for API and VueJS for the user interface, it offers essential functionalities for both librarians and users. Librarians can add, edit, and remove sections and e-books, while users can search for and request books. The system employs role�based access control for secure user authentication and features backend jobs for exporting, reporting, and sending emails daily and APIs for interaction with library resources.
- Python and following modules
|
amqp==5.2.0 aniso8601==9.0.1 async-timeout==4.0.3 bcrypt==3.2.2 billiard==4.2.0 blinker==1.5 cachelib==0.9.0 celery==5.3.5 cffi==1.16.0 chardet==5.2.0 click==8.1.3 click-didyoumean==0.3.0 click-plugins==1.1.1 |
click-repl==0.3.0 colorama==0.4.6 dnspython==2.3.0 email-validator==1.3.1 Flask==2.2.3 Flask-Caching==2.1.0 Flask-Excel==0.0.7 Flask-Login==0.6.2 Flask-Principal==0.4.0 Flask-RESTful==0.3.10 Flask-Security-Too==5.1.2 Flask-SQLAlchemy==3.0.3 Flask-WTF==1.1.1 greenlet==2.0.2 |
idna==3.4 importlib-metadata==6.0.0 itsdangerous==2.1.2 Jinja2==3.1.2 kombu==5.3.3 lml==0.1.0 MarkupSafe==2.1.2 passlib==1.7.4 prompt-toolkit==3.0.40 pycparser==2.21 pyexcel==0.7.0 pyexcel-io==0.6.6 pyexcel-webio==0.1.4 |
python-dateutil==2.8.2 pytz==2023.3.post1 redis==5.0.1 six==1.16.0 SQLAlchemy==2.0.6 texttable==1.7.0 typing_extensions==4.5.0 tzdata==2023.3 vine==5.1.0 wcwidth==0.2.9 Werkzeug==2.2.3 WTForms==3.0.1 zipp==3.15.0 |
- Sqlite for database
- Flask for API
- Vue.js for UI
- Bootstrap for css
- Redis for caching
- Redis and Celery for batch jobs
- Python 3.8 or higher
- Redis server
- Clone the repository:
git clone https://github.com/the-y9/LibraryManagement.git
cd LibraryManagement
- Install the required packages:
pip install -r requirements.txt
- Initialize the database:
python upind.py
- Start the Flask application:
python main.py
- Access the application in your web browser at http://localhost:5000/.
- Start the Redis server on wsl:
redis-server
- Start Celery workers:
celery -A main:celery_app worker --loglevel INFO
- Start Celery beat:
celery -A main:celery_app beat --loglevel INFO