// This example demonstrates the camel and snake case conversions.
import { CaseStyle, SimpleDataMapper } from ".."

const log = (msg: string, obj: any) => {
  console.log(msg, JSON.stringify(obj, null, 2))
}
const data1 = {
  first_name: "Pixie", last_name: "Dorry", age: 3.14, gender: "F",
  some_comments: [
    { text: "This is the first comment.", created_at: "2019-09-01" },
    { text: "Yet another one!", created_at: "2019-09-02" }
  ],
  mixed_caseStyle: true,
  all_addresses: [
    {
      street: "123 Main Str",
      city_name: "San Diego",
      state_name: "CA",
      postal_code: "92120",
      suite_numbers: [101, 102]
    }
  ]
}

log("Data1->", data1)

// Fastest and easiest way to change case style to camel or snake naming conventions!
const data2 = SimpleDataMapper.changeCase(data1, CaseStyle.CAMEL)
const data3 = SimpleDataMapper.changeCase(data2, CaseStyle.SNAKE)

log("Data2->", data2)
log("Data3->", data3)

const data4 = SimpleDataMapper.create()
  .mapToCamelCase({ keep: ["some_comments"] }) // You can keep some field names
  .transform(data1)

const data5 = SimpleDataMapper.create()
  .mapToCamelCase({ keep: ["some_comments"], keepChildNodes: true }) // You can also keep the child names
  .transform(data1)

// This example is the most detailed transformation that demonstrates all features including
// reports in the SimpleDataMapper. Please notice that we don't have "abc" and "middle_name" fields
// in the data, so they will show up as "skipped" under "transformation" and "uncollected" under
// "collection" respectively in the reports section, because they wouldn't be found as field names.
const data6 = SimpleDataMapper.create()
  .collect(["first_name", "last_name", "middle_name"], "full_name") // Collecting fields to construct "full_name"
  .map("first_name", "user.known_names.first_name")
  .map("last_name", "user.known_names.last_name")
  .map("age", "user.age")
  .map("all_addresses")
  .map("abc", "xyz") // No 'abc' field in the data!
  .mapToCamelCase({ keep: ["full_name"] }) // Will transform all except "full_name" to camel case!
  .report(true)
  .transform(data1)

log("Data4->", data4)
log("Data5->", data5)
log("Data6->", data6)

/*
Data6-> {
  "user": {
    "knownNames": {
      "firstName": "Pixie",
      "lastName": "Dorry"
    },
    "age": 3.14
  },
  "allAddresses": [
    {
      "street": "123 Main Str",
      "cityName": "San Diego",
      "stateName": "CA",
      "postalCode": "92120",
      "suiteNumbers": [
        101,
        102
      ]
    }
  ],
  "full_name": "Pixie Dorry",
  "__reports__": {
    "transformation": {
      "transformed": [
        "age -> user.age",
        "all_addresses -> all_addresses",
        "first_name -> user.known_names.first_name",
        "last_name -> user.known_names.last_name"
      ],
      "untransformed": [
        "gender",
        "some_comments"
      ],
      "skipped": [
        "abc"
      ]
    },
    "collection": {
      "collected": [
        "first_name",
        "last_name"
      ],
      "uncollected": [
        "middle_name"
      ]
    }
  }
}
 */