Takes the current vote counts per-county and extrapolates them to 100%

scaled_ga_winner.py

import urllib.request
import json
headers = {'Referrer': 'https://results.decisiondeskhq.com/', 'Accept': 'application/json',
           'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.16; rv:84.0) Gecko/20100101 Firefox/84.0'}
url = 'https://embeds.ddhq.io/api/v2/2020general_results/2021senate_ga'
request = urllib.request.Request(url, headers=headers)
response = json.load(urllib.request.urlopen(request))

for data in response['data']:
    candidates = data['candidates']
    c1_id = str(candidates[0]['cand_id'])
    c2_id = str(candidates[1]['cand_id'])
    counts = []
    for county in data['countyResults']['counties']:
        c1_votes = county['votes'][c1_id]
        c2_votes = county['votes'][c2_id]
        counts.append(
            (c1_votes, c2_votes, county['estimated_votes']['estimated_votes_mid']))

    scaled_counts = []

    for vote1, vote2, expected in counts:
        total = vote1 + vote2
        ratio = 1 if total >= expected else total / expected
        scaled_counts.append((round(vote1 / ratio), round(vote2 / ratio)))

    def get_winner(c1_votes, c2_votes):
        c1_sum = sum(c1_votes)
        c2_sum = sum(c2_votes)
        winner = candidates[0]['last_name'] if c1_sum > c2_sum else candidates[1]['last_name']
        delta = (abs(c1_sum - c2_sum))
        return ((winner, delta))

    [c1_votes, c2_votes] = list(zip(*scaled_counts))
    expected_winner, expected_delta = get_winner(c1_votes, c2_votes)

    [c1_actual, c2_actual, _] = list(zip(*counts))
    current_winner, current_delta = get_winner(c1_votes, c2_votes)

    print(
        f"{current_winner} is currently winning by {current_delta:,} votes")
    print(
        f"If HQ's per-county totals are extrapolated to 100%, {expected_winner} would win by {expected_delta:,} votes")