https://github.com/experrior/db-mockdata

Project for generating mock data, conforming to the specified DB schema.
https://github.com/experrior/db-mockdata

Last synced: 5 months ago
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Project for generating mock data, conforming to the specified DB schema.

• Host: GitHub
• URL: https://github.com/experrior/db-mockdata
• Owner: Experrior
• License: mit
• Created: 2024-07-06T11:52:24.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-07-18T21:22:23.000Z (almost 2 years ago)
• Last Synced: 2024-09-20T06:51:30.235Z (over 1 year ago)
• Language: Python
• Size: 30.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## Mock data generation

This is small project for generating artificial / mock data, conforming to the specified DB schema.

It can be useful to either generate pseudo-realistic data in the database, or prepare large amounts of mock data for stress testing.

The package allows for generating mock data for specified database schema.

## Configuration file schema:

```  

{

  "connection": "postgresql+psycopg2://admin:test@172.17.0.1:5432/ChmielDB",

  "tables": {

        "Projects":{

        "id": "PK serial",

        "project_name": "first_name",

        "project_owner": "FK Users.id"

      },

      "Users": {

        "id": "PK serial",

        "first_name": "first_name",

        "last_name": "last_name",

        "email": "email UNIQUE",

        "password": "password",

        "role": "OPTION IN (USER, ADMIN)",

        "address": "address",

        "birth_date": "timestamp",

        "phone_number": "phone"

      },

      "IntermediaryTable: Projects_Users": {

        "project_id": "FK Projects.id",

        "user_id": "FK Users.id"

      },

  },

  "objects_count": {

    "Users": 25,

    "Projects": 10,

    "Projects_Users": 250,

  }

```

### Allowed column keywords:

#### Disclaimer:

The program only checks for uniqueness and integrity withing itself, there can still be error if there's already existing data in the database.