.. | ||
data | ||
createTables.py | ||
importData.py | ||
items.db | ||
main.py | ||
README.md |
Database Tooling for Managing SQLite Databases
This set of Python scripts and tools allows you to create and manage SQLite databases for storing and manipulating data from CSV files. It is designed to help you easily import data from CSV files into SQLite tables and set up the database schema.
Prerequisites
Before using these tools, ensure that you have Python installed on your system. You'll also need to have the required CSV files that you want to import into the database.
Getting Started
-
Clone the Repository: Start by cloning this repository to your local machine or download the provided scripts.
-
Modify Script Variables:
-
Open the
main.py
script and update the paths and variables according to your specific use case:create_tables_script
: Set the path to yourcreateTables.py
script.import_data_script
: Set the path to yourimportData.py
script.
-
Open the
createTables.py
script and define the database schema for your tables. -
Update the CSV file names and paths in the
importData.py
script to match your data files.
-
-
Run the Main Script:
- Execute the
main.py
script using the following command:python main.py
- The script will first create the tables based on the schema defined in
createTables.py
. - It will then import data from your CSV files into the respective tables.
- If any errors occur during these processes, they will be displayed in the console.
- Execute the
-
Database Management:
- You can further customize the database schema and scripts to meet your specific needs.
- The provided scripts handle resetting ID sequences and deleting existing data, so be cautious when using them on production databases.
Database Structure
The database created by these scripts contains two tables: reloading
and ammo
. The schema for these tables can be customized in the createTables.py
script.
Customization
You can customize the following aspects of this tooling:
- Database schema in
createTables.py
. - CSV file names and paths in
importData.py
. - Starting ID values for each table.
- CSV data loading logic in
load_csv_data
function.
Troubleshooting
If you encounter any issues or errors while using this tooling, please refer to the error messages displayed in the console for guidance.
License
This project is licensed under the MIT License. Feel free to modify and distribute it as needed for your projects.
Happy database management!