Mongo Seeder

Advanced CLI tool to generate fake data and seed MongoDB with:

• Custom schemas
• Relationships (refs)
• Embedded documents
• Arrays
• Auto dependency resolution
• Faker-powered data generation

Installation

npm install
npm link

Usage

mongo-seeder seed --config ./config.json --uri mongodb://localhost:27017/testdb

Config File Structure

{
  "collections": {
    "collectionName": {
      "count": 10,
      "schema": {}
    }
  }
}

Schema Types

1. Basic Faker Fields

{
  "name": "name",
  "email": "email",
  "age": "number"
}

2. Relationships (References)

{
  "userId": { "ref": "users" }
}

✔ Automatically links documents using _id ✔ Order of collections does NOT matter

3. Embedded Objects

{
  "profile": {
    "age": "number",
    "address": {
      "city": "city",
      "country": "country"
    }
  }
}

4. Arrays

{
  "tags": {
    "type": "array",
    "length": 3,
    "of": "word"
  }
}

Full Example

{
  "collections": {
    "posts": {
      "count": 20,
      "schema": {
        "title": "sentence",
        "authorId": { "ref": "users" }
      }
    },
    "users": {
      "count": 10,
      "schema": {
        "name": "name",
        "email": "email",
        "profile": {
          "age": "number",
          "address": {
            "city": "city",
            "country": "country"
          }
        },
        "tags": {
          "type": "array",
          "length": 3,
          "of": "word"
        }
      }
    }
  }
}

Available Faker Types

| Type | Description | | --------- | --------------- | | name | Full name | | firstName | First name | | lastName | Last name | | email | Email | | username | Username | | password | Password | | sentence | Random sentence | | paragraph | Paragraph | | word | Single word | | number | Integer | | float | Float | | boolean | true/false | | uuid | UUID | | date | Past date | | city | City name | | country | Country | | street | Street address | | company | Company name | | jobTitle | Job title | | phone | Phone number | | url | URL | | image | Image URL |

How It Works

1. Reads config file
2. Detects relationships (ref)
3. Builds dependency graph
4. Sorts collections automatically
5. Generates fake data
6. Inserts into MongoDB

Errors

Circular dependency

Circular dependency detected

Missing reference

Missing reference data: users

Development

npm start