This node is used for autoparametrization of JSON (JavaScript Object Notation) files (*.json).
After selecting a file, the output node provides all supported inputs as table or tree containing names and values. Each row can be added as a respnse or output slot using drag and drop.
Expected File Content
The input file can contain standard JSON notation. Nested structures can also be used, this integration scans the first 20 levels of the JSON structure. Currently supported types are shown in the following example:
{ "some_file_paths": { "path_file_1": "D:\\Projects\\mapping.txt", "path_mesh_file": "D:/Projects/mesh.cdb" }, "example_float": 300.0, "example_int": 5, "example_vector_of_floats": [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1], "example_vector_of_ints": [1,5,9,10,20], "example_vector_of_strings": ["first_entry","second_entry","third_entry"], "example_string": "this_is_an_example", "dictionary": { "another_float": 1.65, "another_string": "mode_select_1", "another_dictionary": { "param_1": 1.0, "param_2": 2, "vector_3": [1,2,3] } } }
Extracted Information
For each supported parameter type, the following information is extracted:
Name
Value
Name | Value | Type |
---|---|---|
some_path_paths__path_file_1 | "D:\Projects\mapping.txt" | str |
some_file_paths__path_mesh_file | "D:/Projects/mesh.cdb" | str |
example_float | 300.0 | float |
example_int | 5 | int |
example_vector_of_floats | [12] | VariantD |
example_vector_of_ints | [5] | VariantD |
example_vector_of_strings__0 | "first_entry" | str |
example_vector_of_strings__1 | "second_entry" | str |
example_vector_of_strings__2 | "third_entry" | str |
example_string | "this_is_an_example" | str |
example_string | "this_is_an_example" | str |
dictionary__another_float | 1.65 | float |
dictionary__another_string | "mode_select_1" | str |
dictionary__another_dictionary__param_1 | 1.0 | float |
dictionary__another_dictionary__param_2 | 2 | int |
dictionary__another_dictionary__vector_3 | [3] | VariantD |
Top-level Lists
The output is slightly different when the JSON contains a top-level list:
[ { "name_1": 1, "name_2": 2 }, { "name_3": 3 } ]
In this case each of the lists elements is grouped by the corresponding ID:
0 _0__name_1 _0__name_2 1 _1__name_3