JSON Fuel Allowance

Level 4

10 Points

Fuel Transformation JSON

Problem statement

Every employee of ABC Corp receives an unlimited fuel allowance. Employees are required to send a record every time they fill up their vehicles. These records are appended to the same JSON file and processed at the month's end.

As a member of the digital operations team, your task is to read this JSON file and write the results to another JSON file. The output file should contain an entry for each employee with the following details:

Employee number
Number of gas fill-ups
Total fuel cost
Total gallons
Total miles accrued

You are given two string arguments.

Input JSON file path.
Output JSON file path.

Input JSON file contains an array of JSON objects. Each JSON object takes the following form.

{
    "type": "array",
    "items": {
        "type": "object",
        "properties": {
            "employeeId": {
                "type": "integer"
            },
            "odometerReading": {
                "type": "integer"
            },
            "gallons": {
                "type": "number"
            },
            "gasPrice": {
                "type": "number"
            }
        },
        "required": [
            "employeeId",
            "odometerReading",
            "gallons",
            "gasPrice"
        ]
    }
}

// Ballerina record type definition
type FillUpEntry record {|
    int employeeId;
    int odometerReading;
    decimal gallons;
    decimal gasPrice;
|};

Your task is to transform the JSON input to the following JSON format and write the content to the given path. The output file should contain an entry for each employee, sorted in ascending order by the employeeId.

{
    "type": "array",
    "items": {
        "type": "object",
        "properties": {
            "employeeId": {
                "type": "integer"
            },
            "gasFillUpCount": {
                "type": "integer"
            },
            "totalFuelCost": {
                "type": "number"
            },
            "totalGallons": {
                "type": "number"
            },
            "totalMilesAccrued": {
                "type": "integer"
            }
        },
        "required": [
            "employeeId",
            "gasFillUpCount",
            "totalFuelCost",
            "totalGallons",
            "totalMilesAccrued"
        ]
    }
 }

// Ballerina record type definition
type EmployeeFillUpSummary record {|
    int employeeId;
    int gasFillUpCount;
    decimal totalFuelCost;
    decimal totalGallons;
    int totalMilesAccrued;
|};

Constraints

Number of fill-up records n in the input JSON file: 0 <= n <= 1000
Number of employees in the company: 97
Gas price is per gallon
No missing fill-up records

Example 1

Input: example01_input.json

[
    {
        "employeeId": 2312,
        "odometerReading": 230,
        "gallons": 18.561,
        "gasPrice": 4.56
    },
    {
        "employeeId": 2312,
        "odometerReading": 500,
        "gallons": 19.345,
        "gasPrice": 4.89
    }
]

Output: example01_output.json

[
    {
        "employeeId": 2312,
        "gasFillUpCount": 2,
        "totalFuelCost": 179.23521,
        "totalGallons": 37.906,
        "totalMilesAccrued": 270
    }
]

Example 2

Input: example02_input.json

[
    {
        "employeeId": 2413,
        "odometerReading": 4089,
        "gallons": 21.682,
        "gasPrice": 3.46
    },
    {
        "employeeId": 3423,
        "odometerReading": 6582,
        "gallons": 15.248,
        "gasPrice": 4.56
    },
    {
        "employeeId": 2413,
        "odometerReading": 4127,
        "gallons": 4.221,
        "gasPrice": 3.40
    },
    {
        "employeeId": 2413,
        "odometerReading": 4349,
        "gallons": 11.192,
        "gasPrice": 4.10
    },
    {
        "employeeId": 3423,
        "odometerReading": 6767,
        "gallons": 8.696,
        "gasPrice": 3.34
    },
    {
        "employeeId": 2413,
        "odometerReading": 4547,
        "gallons": 9.197,
        "gasPrice": 2.90
    }
]

Output: example02_output.json

[
    {
        "employeeId": 2413,
        "gasFillUpCount": 4,
        "totalFuelCost": 161.92962,
        "totalGallons": 46.292,
        "totalMilesAccrued": 458
    },
    {
        "employeeId": 3423,
        "gasFillUpCount": 2,
        "totalFuelCost": 98.57552,
        "totalGallons": 23.944,
        "totalMilesAccrued": 185
    }
]

Hints

Use ballerina/io module to read/write JSON files.
Convert the JSON values to application-specific types to work with data in a type-safe manner. Refer to Converting to user defined type example in Ballerina By Examples (BBE) for information.

   json jsonPayload = {id: "2", title: "Jeru", artist: "Gerry Mulligan", price: 17.99};

   // Using cloneWithType  
   Album album1 = check jsonPayload.cloneWithType();
   io:println(album1);
 
   // Using fromJsonWithType
   Album album2 = check jsonPayload.fromJsonWithType();
   io:println(album2);

Destructuring records can be useful in reducing the verbosity of the code.

   Album {id, title, artist, price} = album1;
   io:println(id);
   io:println(title);

Use expression-bodied functions for functions with a single expression. E.g., functions that have only the return statement.

   function cfr(int deaths, int cases) returns decimal => <decimal>deaths / <decimal>cases * 100;

Ballerina table syntax

Source

This is an exercise to introduce users to converting the JSON values to application-specific types to work with data in a type-safe manner using Ballerina.

ballerina