mymaps_utils.py

import requests
import csv
import json 
# This library has some handy stuff for working with geographic data
# import geopy.distance

# A google API token with geocoder service enabled
api_key="CHANGEME"

# Cache Geocoder api responses
geocode_cache = {}
with open('geocode_cache.json') as f:
    geocode_cache = json.load(f)

# Dump the cache to file.
def save_geocode_cache_json():
    with open('geocode_cache.json', 'w') as f:
        json.dump(geocode_cache, f)

# If you happen to want to use the google geocoder api to transform addresses into latlng
# Not relevent to the CSV parsing bits
def get_lat_lng(address):
    base_url = 'https://maps.googleapis.com/maps/api/geocode/json'
    params = {
        'address': address,
        'key': api_key
    }
    if address in geocode_cache:
        return geocode_cache[address]
    response = requests.get(base_url, params=params)
    if response.status_code == 200:
        data = response.json()
        if data['status'] == 'OK':
            print(f"Geocoded {address} to {data['results'][0]['geometry']['location']}")
            location = data['results'][0]['geometry']['location']
            geocode_cache[address] = [location['lat'], location['lng']]
            return [location['lat'], location['lng']]
        else:
            print(f"Error: {data['status']}")
            return None
    else:
        print(f"HTTP Error: {response.status_code}")
        return None

# it works but it's not pretty.
# Works on export sheets with 3 columns like yours seem to have.
# I didn't bother to make it arbitrary.
def parse_yance_map(filename):
    with open(filename) as csvfile:
        reader = csv.reader(csvfile)
        real_lines = []
        for row in reader:
            # The problem is that notes hang onto one or more newlines
            # And the google mymaps exporter doesn't escape or quote correctly
            # That's really all this is doing
            if row and row[0] and row[0].startswith('POINT'):
                real_lines.append(row)
            elif row and len(real_lines):
                if len(real_lines[-1]) >= 3:
                    real_lines[-1][2] += f" {row[0]}"
                else:
                    real_lines[-1].append(row[0])
        return real_lines


with open('mitchell_geocoded.csv', 'w') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(['WKT', 'Title', 'Description'])
    # Where yancey-info.csv is an exported CSV of one of the layers of your map
    rows = parse_yance_map('yancey-info.csv')
    writer.writerows(rows)