A simple json parsing exercise and solutions in various languages
You are given a folder of json files. The schema can be either one of two different types (A or B) or neither. The goal is to parse them and format them into a defined output format or ignore and log the filenames of the invalid format. The solution should be a command line tool that takes in the following command:
$ parse <path to input folder> <path to output folder>The output folder should contain the parsed outputs of the valid input files that are named the same and an invalid.log file that logs the names of the invalid files.
For both A and B, all fields are required to be present and contain the correct types. Extra fields are allowed.
The following describes the output format.
{
"id": 1234,
"name": "bob",
"age": 38,
"bmi": "normal"
}The following is an example of the A file format.
{
"id": 1234,
"name": "bob",
"country": "USA",
"age": 38,
"weight": 120.5,
"height": 6.2
}The id, name, and age fields map directly to the same fields in the output. The bmi field is calculated by first calculating the numeric bmi by taking the weight / height^2 and assigning string value based on the following table.
| BMI Numeric | Label |
|---|---|
| Below 18.5 | underweight |
| 18.5 - 24.9 | normal |
| 25.0 - 29.9 | overweight |
| 30.0 and up | very overweight |
The following is an example of the B file format.
{
"id": 1234,
"info": {
"name": "bob",
"country": "USA"
},
"data": {
"bmi": 18.5,
"age": 38
}
}The id field maps directly to the same fields in the output. The info.name field maps to the name field in the output, and the data.age field maps to the age field in the output. The data.bmi field is subjected to the same thresholds as defined in the table above for the labeling and maps to the bmi field in the output.