FakeCSV

FakeCSV is a web application for generating fake CSV datasets based on custom schemas. https://fake-data-csv.vercel.app/login/

Features

• Create and manage schemas for CSV files
• Define columns with specific data types and ranges
• Generate fake datasets based on the defined schemas
• Download generated datasets in CSV format
• The files(static for admin and media) are stored on AWS S3.
• Errors tracking by sentry.io.
• CI test runs.

Installation

1. Clone the repository:

   git clone <repository_url>

2. Install the required dependencies: pip install -r requirements.txt

3. Configure the database settings in the settings.py file.

4. Apply the database migrations:

5. Start the development server:

6. Access the application in your browser at http://localhost:8000.

Usage

Create and Manage Schemas

• Create a new schema by providing a name and defining the columns with their respective data types and ranges.
• Path: /create-schema/
• Edit an existing schema to modify its name, columns, or column properties.
• Path: /edit-schema/<int:pk>/
• Delete a schema and all associated datasets.
• Path: /delete-schema/<int:pk>/

Manage Columns

• Delete a column from a schema.
• Path: /delete-column/<int:pk>/

View Schema Details

• View detailed information about a schema, including its columns and generated datasets.
• Path: /detail-schema/<int:pk>/

Generate Datasets

• Download generated datasets
• Path: /download_data_set/<int:pk>/

View Schema List

• View a list of all created schemas.
• Path: /list/

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.