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49 lines
1.6 KiB
Markdown
49 lines
1.6 KiB
Markdown
# SQLite Analyzer
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This project is a simple web service that allows generating and displaying an ER model for a SQLite database. The ER model is created as a PNG image to visualize the relationships between tables in the database.
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## Requirements
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To run this project, you need:
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- Python 3 installed on your system.
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- The Python libraries Flask and Graphviz. You can install them via pip:
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```bash
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pip install Flask graphviz
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```
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## Usage
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1. Clone or download the project to your local computer.
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2. Navigate to the project directory.
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3. Start the application by running the `app.py` file:
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```bash
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python main.py
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```
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4. Open a web browser and go to the URL [http://127.0.0.1:5000/](http://127.0.0.1:5000/).
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5. Upload a SQLite database file (`.db` file extension).
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6. The ER model will be automatically generated and displayed along with table data.
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## Features
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- **ER Model Generation**: The ER model is automatically generated from the uploaded SQLite database and displayed as a PNG image.
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- **Display of Table Data**: The data of each table in the uploaded SQLite database is displayed to facilitate quick data inspection.
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## File Structure
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- `main.py`: The main application that creates the web service using Flask.
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- `uploads/`: The directory where uploaded SQLite database files are stored.
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- `templates/`: The directory containing HTML templates for the web pages.
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- `static/`: The directory containing static files such as CSS or images.
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## Contributors
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- **Author**: fingadumbledore
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## License
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This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).
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