json_parser.py

#!/bin/python

# open aircraft.json, which is a json file containing all aircrafts
# loop through each entry and find all of the unique fields
# output the unique fields to a file called fields.txt
# if a field is not always present, tag it with Optional

import json

with open("aircraft.json") as f:
    data = json.load(f)

fields = set()
fields_unique = set()

for aircraft in data["aircraft"]:
    for field in aircraft:
        # if this is not the first aircraft, loop through all of the fields to see if we've not seen them before
        if len(fields) > 0:
            for f, _ in fields:
                if f not in aircraft:
                    fields_unique.add(f)
        # get the type of the field data
        field_type = type(aircraft[field])
        fields.add((field, str(field_type)))

# sort the fields alphabetically
fields = sorted(fields, key=lambda x: x[0])

with open("fields.txt", "w") as f:
    for field, type_of_field in fields:
        type_string = type_of_field.split("'")[1]
        if type_string == "str":
            type_of_field = "String"
        elif type_string == "int":
            type_of_field = "i32"
        elif type_string == "float":
            type_of_field = "f32"
        elif type_string == "dict":
            type_of_field = "Vec<String>"
        elif type_string == "list":
            type_of_field = "Vec<String>"
        if field in fields_unique:
            f.write('#[serde(skip_serializing_if = "Option::is_none")]\n')
            f.write("pub " + field + ": Option<" + type_of_field + ">,\n")
        else:
            f.write("pub " + field + ": " + type_of_field + ",\n")