JSON_Converter

20. Jan. 2024

Library "JSON_Converter"

In case you're having trouble writing .JSON strings for your TV alerts simply import this Library and use the following functions:


get_attributes(attribute_name, values)
  parses an arrays of floats and a string into a .JSON attribute - This attribute itself is not a valid .JSON string. If you want to use it you have to call this librarys .parse function with an array containing the return value of this function
  Parameters:
    attribute_name (string): (string): the name of this attribute in your JSON. In the final JSON it can be called with .<attribute_name>
    values (float[]): (float[]): an array of all the float (includes int) values that you want to give this attribute
  Returns: a string in the following form: "<attribute_name>":[<value1>,<value2>,...]

parse(attributes)
  parses an arrays of strings - consisting of already parsed attributes - into a valid .JSON format
  Parameters:
    attributes (string[]): (string[]): an array containing all the attributes that you got by calling .get_attributes(...) with your data
  Returns: a string in .JSON format that includes all your already parsed attributes

parse(values)
  parses a simple float array into a JSON string containing only a float array
  Parameters:
    values (float[]): (float[]): an array containing all the values that you want your simple JSON to contain
  Returns: a string in .JSON format that includes all your values in an an array. This array has whatever name you gave it when calling the parse(data.contents) function after catching the TV alert


Depending on what you want you JSON to look like you can either use the first two functions (get_attributes(attribute_name, values) and parse(attributes)) together to get a more complex JSON or use the last function (parse(values)) which only takes an array of floats so nothing fancy or complex.

Example on how to use:

import Marius_S/JSON_Converter/1 as JSON
a = "a"
b = "b"
c = "c"
values_a = array.from(1, na, 3)
values_b = array.from(4, 5)
values_c = array.from(6, 7, 8, 9)
a_ = JSON.get_attributes(a, values_a)
b_ = JSON.get_attributes(b, values_b)
c_ = JSON.get_attributes(c, values_c)
json = JSON.parse(array.from(a_, b_, c_))
// returns: "{"a":[1,"NaN",3],"b":[4,5],"c":[6,7,8,9]}"

7. Feb. 2024

Versionshinweise

v2 - includes get_attributes() functions for strings and boolean values

Updated:
get_attributes(attribute_name, bools)
  parses an arrays of bools and a string into a .JSON attribute - This attribute itself is not a valid .JSON string. If you want to use it you have to call this librarys .parse function with an array containing the return value of this function
  Parameters:
    attribute_name (string): (string): the name of this attribute in your JSON. In the final JSON it can be called with .<attribute_name>
    bools (array<bool>)
  Returns: a string in the following form: "attribute_name":[value1,value2,...] - boolean values will be transformed into strings for json validity