What environments are people using to get these converter or processor scripts to run?

[uscivics]

I attempted using the converter on some US Census Tiger Line shape files. I was using python 2.7, 3.6, & 3.7 with Anaconda.

I'm running OS X 10.15.

On python 3.7 there were some syntax errors print "message" vs. print("message").

My most recent progress gets me here:

(jvectormapmaker) jserra1-3:converter jserra$ python converter.py pa.json pa.js
Traceback (most recent call last):
  File "converter.py", line 298, in <module>
    paramsJson = json.loads(paramsJson)
  File "/Users/jserra/opt/anaconda3/envs/jvectormapmaker/lib/python3.7/json/__init__.py", line 348, in loads
    return _default_decoder.decode(s)
  File "/Users/jserra/opt/anaconda3/envs/jvectormapmaker/lib/python3.7/json/decoder.py", line 340, in decode
    raise JSONDecodeError("Extra data", s, end)
json.decoder.JSONDecodeError: Extra data: line 4 column 2 (char 62)

Here is my configuration file:

{
  "name": "read_data",
  "file_name": "map_data/US-PA.shp"
},{
  "name": "write_data",
  "format": "jvectormap",
  "params": {
    "code_field": "STATEFP",
    "name_field": "NAME",
    "name": "us-pa"
  }
}

If I add []'s around my config file like this:

[{
  "name": "read_data",
  "file_name": "map_data/US-PA.shp"
},{
  "name": "write_data",
  "format": "jvectormap",
  "params": {
    "code_field": "STATEFP",
    "name_field": "NAME",
    "name": "us-pa"
  }
}]

My result is as follows:

Traceback (most recent call last):
  File "converter.py", line 300, in <module>
    converter = Converter(paramsJson)
  File "converter.py", line 49, in __init__
    args.update(config)
ValueError: dictionary update sequence element #1 has length 3; 2 is required

This looks like a great tool, if I could only figure out the right configuration for the environment to run it.

[t-walker-wei]

Your second config file should apply to processor.py.
According to code : https://github.com/bjornd/jvectormap/blob/master/converter/converter.py#L54
The config file should be like this if you want to use converter.py:

{
    "input_file": "path_to_shp_file",
    "output_file": "the js file path/name generated by converter.py",
    "code_field": "ISO_A2",
    "name_field": "NAME",
    "input_file_encoding": "UTF-8"
}

This works for me. If you need more options, I suggest you review the converter.py code.