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Check the supported options for more details on the generated data.\nconst fakedModels = {\n  \"User\": [\n    {\n      \"id\": \"27bd418b-05e0-4e40-9fb2-54a9ff7de038\",\n      \"address\": {\n        \"city\": \"Nara\",\n        \"street\": \"914 Al Spring Suite 191\"\n      }\n    }\n  ],\n  \"Product\": [\n    {\n      \"name\": \"Shampoo\",\n      \"weight\": \"300grams\"\n    }\n  ]\n}\n\n//...\n// In some script, insert the fake data to MongoDB\nObject.keys(fakedModels).forEach(modelName => {\n  db[modelName.toLowerCase()].insertMany(fakedModels[modelName]);\n});\n```\n\n## API\n\n### `options`\n\n- `exclude`: An array of model names for which data should not be generated. If a `include` is provided, it only uses the `include` models, ignoring the `exclude` ones.\n- `include`: An array of model names for which data should be generated. If provided, it will only include the models in the `include`. If neither `exclude` nor `include` is provided, it generates data for all models.\n- `itemsPerModel`: The number of fake objects (items) to be generated per model. Defaults to `1`.\n- `modelType`: The model type for which the data should be generated. Defaults to 'core'.\n- `seed`: An integer to serve as the seed for the random data generation. Defaults to `12`.","readmeFilename":"README.md"}