samir64/fake-data-generator

A simple python code to generate fake data

Python Fake Data Generator v1.0

Getting Started

Python fake-data-generator's project use to JSON object to define sample data and table definitions.

These files are samples.json and tables.json.

Sample Data Structore

You can use one level to n-level nested data. to get an item you must call children recursively by "." operand like this:

group1.subgroup1.subgroup1_child1.subgroup1_child1_item1

{
  "group1": {
    "subgroup1": {
      "child1": [
        "item1",
        "item2",
        ...
      ],
      "child2": [
        "item1",
        "item2",
        ...
      ]
    },
    "subgroup2": [
      "item1",
      "item2",
      ...
    ]
    ...
  },
  "group2": [
    "item1",
    "item2",
    ...
  ],
  ...
}

Table Definitions Structore

{
  "table_name": {
    "count": 20, // For generate 20 record. Default value is 10.
    "relations": { // If this table related to another by a field, if not leave this section
      "related_field": { // This table related field
        "table": "target_table_name",
        "field": "detination_field"
      },
      ...
    },
    "fields": {
      "field_name": {
        "type": "string|number",
        "format": "FORMAT_STRING" // See `Format String` section
      },
      ...
    }
  }
}

Format String

<from,to> To define a random number between from and to

[a-f2-6:count_from,count_to] To return a string by defined characters before ":" repeated some times between count_from and count_to. Default value of count_from is 10 and if dont use count_to it use count_from value as count_to.

@sample_name; For use a random sample value from your samples list. for accessing to nested values you have to use "." like this: @group1.subgroup2.child2;, this means you need an item in group1 -> subgroup2 -> child2 (child2 should defines as an array)