@headcastle/json-transformer

json-transformer

node-data-transform

A node module for transforming and performing operations on JSON writen in Typescript. Transformation functions can either be javascript functions or pure strings which allow for serialization and storage. Json-transformer utilizes VM2 for sandboxing of string transformation functions.

Installation

npm install @headcastle/json-transform --save

Get Started

var transform = require("@headcastle/json-transform").transform;
// or
var { transform } = require("@headcastle/json-transform");

var result = transform({  
  text: "hello"
}, {
  mapping: {
    message: "text"
  }
});
// result { message: "hello" }

Transform API

transform (data, map, context)

Parameters

Parameter	Type	Required	Description
data	Object, Array	true	The JSON data that you want to transform
map	Object	true	How you want to tranform it
context	Object	false	Context to bind to for each item transformation.

Returns

Object or Array based on input.

Object

If an object is passed in, it will transform the object and return the resulting object.

Array

If an array is passed in, each item will be iterated, transformed, and the entire result will be returned. If no "list" is passed map, it will used the data as is.

TransformConfig Schema

{
  list: "",                // Not required.  If there is a sub-attribute in the incoming data that you want to used for tranformation rather than the data itself, you can specify that here.  It must point to an array.
  mapping: {                  // Required. Defines object mapping.
    destination: "source"  // The destination is the attribute name where source data will be mapped to in the result.  The path uses lodash.get function to find a value in the incoming data.
  },
  remove:['attribute'],    // Not required. Specifies an attribute to be removed from each item.
  defaults: {
      destination: "defaultvalue"
  }             // Not required.  Specifies fallback values for attributes if they are missing.
  operate:[                // Not required.  Runs after object mapping. Modifies the attribute specified in "on".
    {
      run: function(val,collection,context) {}            // Specifices the name of a function to run
      on: ""               // Specifies the attribute to be passed into the function above as a parameter
    }
    {
      run: "(val) => Date.parse(val)",             // Specifices the raw string utilized
      on: ""               // Specifies the attribute to be passed into the function above as a parameter
    }
  ],
  each: function(item,index,collection,context){    // Not required.  Runs after object mapping and operations.  Allows access to each item for manipulation.
    return item;
  }
}

Common Example

First we need some data.

var data = {
  title : "title1",
  description: "description1",
  blog: "This is a blog.",
  date: "11/4/2013",
  extra : {
    link : "http://goo.cm"
  },
  list1:[
    {
      name:"mike"
    }
  ],
  list2:[
    {
      item: "thing"
    }
  ],
  clearMe: "text"
};

The map defines how the output will be structured and which operations to run.

var map = {
  mapping: {
    name: "title",
    info: "description",
    text: "blog",
    date: "date",
    link: "extra.link",
    item: "list1.0.name",
    clearMe: "",
    fieldGroup: ["title", "extra"]
  },
  operate: [
    {
      run: "Date.parse", on: "date"
    },
    {
     run: function(val) { return val + " more info"}, on: "info"
    }
  ],
  each: function(item){
    item.iterated = true;
    return item; 
  }
};

You can read this as follows:

• Map the name to title, info to description etc.
• Run Data.parse on the date value.
• Run each function on all items after mapping and operations.

Run it synchronously

var transform = require("node-json-transform").transform;
var result = transform(data, map);
console.log(result);

... or asynchronously

var transform = require("node-json-transform").transformAsync;
transform(data, map).then((function(result){
  console.log(result);
});

The expected output.

[
  {
    name : "title1",
    info: "description1",
    text: "This is a blog.",
    date: 1383544800000,
    link: "http://goo.cm",
    info: "mike more info",
    clearMe: "",
    fieldGroup: ["title1", { link : "http://goo.cm" }],
    iterated: true
  }
]

Advanced Example

var map = {
  mapping: {
    id: "id",
    sku: "sku",
    zero: "zero",
    toReplace: "sku",
    errorReplace: "notFound",
    simpleArray: ["id", "sku","sku"],
    complexArray: [ {node: "id"} , { otherNode:"sku" } , {toReplace:"sku"} ],
    subObject: {
      node1: "id",
      node2: "sku",
      subSubObject: {
        node1: "id",
        node2: "sku",
      }
    },
  },
  remove: ["unwanted"],
  defaults: {
    "missingData": true
  },
  operate: [
    {
      run: (val) => "replacement",
      on: "subObject.subSubObject.node1"
    },
    {
      run: (val) => "replacement",
      on: "errorReplace"
    },
    {
      run: (val) => "replacement",
      on: "toReplace"
    },
      {
      run: (val) => "replacement",
      on: "simpleArray.2"
    },
    {
      run: (val) => "replacement",
      on: "complexArray.2.toReplace"
    }
  ]
};

var object = [
  {
    id: "books",
    zero: 0,
    sku:"10234-12312",
    unwanted: true
  }
];

var result = transform(data, map);

The expected output.

[
  {
    id: "books",
    sku: "10234-12312",
    zero: 0,
    toReplace: "replacement",
    errorReplace: "replacement",
    simpleArray: [
      "books",
      "10234-12312",
      "replacement"
    ],
    complexArray: [
      {
        node: "books"
      },
      {
        otherNode: "10234-12312"
      },
      {
        toReplace: "replacement"
      }
    ],
    subObject: {
      node1: "books",
      node2: "10234-12312",
      subSubObject: {
        node1: "replacement",
        node2: "10234-12312"
      }
    },
    missingData: true
]

Multi-template Example

var data = [
  {
    id: "books0",
    zero: 0,
    sku: "00234-12312",
    subitems: [
      { subid: "0.0", subsku: "subskuvalue0.0" },
      { subid: "0.1", subsku: "subskuvalue0.1" }
    ]
  }, {
    id: "books1",
    zero: 1,
    sku: "10234-12312",
    subitems: [
      { subid: "1.0", subsku: "subskuvalue1.0" },
      { subid: "1.1", subsku: "subskuvalue1.1" }
    ]
  }
];

var baseMap = {
  mapping : {
    "myid": "id",
    "mysku": "sku",
    "mysubitems": "subitems"
  },
  operate: [
    {
      run: function(ary) { 
        return transform(ary, nestedMap);
      }, 
      on: "mysubitems"
    }
  ]
};

var nestedMap = {
  mapping : {
    "mysubid": "subid",
    "mysubsku": "subsku"
  }
};

var result = transform(data, baseMap);

The expected output.

[
  {
    "myid": "books0",
    "mysku": "00234-12312",
    "mysubitems": [
      { "mysubid": "0.0", "mysubsku": "subskuvalue0.0" }, 
      { "mysubid": "0.1", "mysubsku": "subskuvalue0.1"}
    ]
  }, 
  {
    "myid": "books1",
    "mysku": "10234-12312",
    "mysubitems": [
      { "mysubid": "1.0", "mysubsku": "subskuvalue1.0" }, 
      { "mysubid": "1.1", "mysubsku": "subskuvalue1.1" }
    ]
  }
]

Context Example

First we need some data.

var data = [
  {
    title : "title1",
    description: "description1"
  }
];

The map defines how the output will be structured and which operations to run.

var map = {
  mapping: {
    name: "title",
    info: "description"
  },
  operate: [
    {
      run: function(val, context) { return val + " more info for" + context.type},
      on: "info"
    }
  ],
  each: function(item, index, collection, context){
    item.type = context.type;
    return item;
  }
};

Run it

var context = { type: "my-type" };
var result = transform(data, map, context);
console.log(result);

The expected output.

[
  {
    name : "title1",
    info: "description1 more info for my-type",
    type: "my-type"
  }
]

Enjoy!

Changelog

0.9.1 Initial version for publishing

Credits

• Michael Bosworth
• John Head

License

(The MIT License)

Copyright (c) 2021 Michael Bosworth, John Head

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.