Technologys Utilized
Installation
Firstly install python modules
pip install -r requirements.txt
Secondly navigate to "vbms-frontend" directory
cd ./vbms-frontend
Then install all node modules
npm i
Running
Windows
./run.ps1
Linux
./run.sh
Technical Details
The backend uses flask to create an api which interacts with database with a postGres connector called psycopg2.
The backend also has a class called volleyBallData which contains many of the methods neccesary to interact with the database.
The frontend is made with React and will send requests to the backend to serve data to users.
The interface also allows users to interface with the database at a level determined by their role on the team. For example every user can change their shirt size, phone number and commuter status but not all users can edit/create games.
Usage: Faker is a Python library used extensively in this project to create data that resembles real-world information. Data Types Generated: Personal Information: Names, emails, and phone numbers for users (players, coaches, admins). Temporal Data: Dates and times for games, practices, and announcements. Location Data: Addresses and locations for game and practice venues. Functionality: These scripts are tailored to the specific needs of the VBMS. They utilize Faker for basic data generation and add custom logic to create volleyball-specific information. Key Features: Team Data Generation: Scripts generate team names, player roles, and coach assignments. Game and Practice Schedules: Automated creation of game and practice schedules, ensuring no conflicts or unrealistic timings. Injury Reports and Transfers: Generation of realistic injury reports and player transfer data between teams. Nature: This dataset comprises manually entered data that provides a base for the VBMS. It includes information that requires domain knowledge and specificity, which cannot be effectively generated by automated scripts. Components: Team and Tournament Names: Predefined names for teams and tournaments to add authenticity to the simulated environment. Specific Event Details: Manual entry of special events, such as end-of-season galas or charity matches, that require unique descriptions and details. Tailored Announcements: Custom announcements related to team activities, achievements, or specific messages from coaches and administrators. PostgreSQL Database: The backend of VBMS is powered by a PostgreSQL database. The data generated through the above methods is formatted and structured for compatibility with this database system. Data Structuring: The structured data from various sources is organized into a format that aligns with the database schema of VBMS, ensuring seamless integration and retrieval. Data Integration: The CSV files are designed for easy import into the VBMS's PostgreSQL database. Testing and Simulation: Data can be used for system testing, user training, and simulating real-world scenarios in volleyball team management. Extensibility: The structured data format and comprehensive documentation make it easy to extend or modify data for future enhancements or new features in the VBMS.