Convert geodatabase feature class features into GeoJSON strings for loading into elastic search database (bulk api)

gdb2elastic.py

'''
Convert file geodatabase feature class features into GeoJSON and 
then construct text file for loading into elastic search bulk api
'''

import json
import arcpy
arcpy.env.overwriteOutput = True

#create a geojson file
geo_json_cities_path = r'C:\GIS\Temp\Elastic\usa_cities.json'
arcpy.FeaturesToJSON_conversion(in_features=r'C:\Program Files (x86)\ArcGIS\Desktop10.5\TemplateData\TemplateData.gdb\USA\cities',
                                out_json_file=geo_json_cities_path, geoJSON=True)

with open(geo_json_cities_path) as f:
    data = json.load(f)
#
geo_shapes = []
for feat in data['features']:
    geo_shape = {}
    geo_shape['name'] = feat['properties']['CITY_NAME']
    geo_shape['state'] = feat['properties']['STATE_NAME']
    geo_shape['pop'] = feat['properties']['POP1990']
    geo_shape['location'] = feat['geometry']['coordinates']
    geo_shapes.append(geo_shape)

with open(r'C:\GIS\Temp\Elastic\ready\usa_cities_elastic.json','wb') as f:
    for city in geo_shapes:
        f.write('{ "index": {"_index": "cities", "_type": "city"} }\n')
        f.write(json.dumps(city))
        f.write('\n')
        
#sample rows from output .json file:
#{ "index": {"_index": "cities", "_type": "city"} }
#{"state": "Washington", "name": "Bellingham", "pop": 52179, "location": [-122.46818353792992, 48.74387985436505]}
#{ "index": {"_index": "cities", "_type": "city"} }
#{"state": "Montana", "name": "Havre", "pop": 10201, "location": [-109.67985528815007, 48.54381826401885]}