Additional "Fields" not returning School District data

[brianfullerusa]

It appears that school district data is not being returned with geocodio-library-python as it is with pygeocodio.

Here is a sample script to show the issue:

Input:

client.geocode(
    "638 E 13th Ave, Denver, CO",
    fields=["school"]
)

Output:

results=[GeocodingResult(address_components=AddressComponents(number='638', predirectional='E', street='13th', suffix='Ave', postdirectional=None, formatted_street='E 13th Ave', city='Denver', county='Denver County', state='CO', zip='80203', postal_code=None, country='US'), formatted_address='638 E 13th Ave, Denver, CO 80203', location=Location(lat=39.736792, lng=-104.978914), accuracy=1, accuracy_type='rooftop', source='Denver (City of Denver Open Data Catalog CC BY 3.0)', 

fields=GeocodioFields(timezone=None, ...,

school_districts=None,

...))])

Expected Results

Running this with pygeocodio the results are:
'fields': {'school_districts': {'unified': {'name': 'Denver County School District 1', 'lea_code': '0803360', 'grade_low': 'PK', 'grade_high': '12'}}}

[sylvesterdamgaard]

Thanks for reporting this. The underlying API migrated school district data to a nested structure, and the previous parser only handled the older flat format. That caused the field to come back as None even though the API response contained data.

Version v0.4.0 has now been released with full support for the new school district structure. The client correctly parses both nested and legacy formats, so your example now returns the expected district information.

Appreciate the clear test case. This helped close the parsing gap cleanly.