import pandas as pd
import pprint
import requests

def collapse_results_by_party(results_by_candidate, candidates):
    results_by_party = {}
    for candidate, count in results_by_candidate.iteritems():
        party = candidates[candidate]['party']
        results_by_party[party] = results_by_party.get(party, 0) + count

    return results_by_party

states = [
 'Alaska', 'Alabama', 'Arkansas', 'Arizona', 'California', 'Colorado',
 'Connecticut', 'Delaware', 'Florida', 'Georgia',
 'Hawaii', 'Iowa', 'Idaho', 'Illinois', 'Indiana', 'Kansas', 'Kentucky',
 'Louisiana', 'Massachusetts', 'Maryland', 'Maine', 'Michigan',
 'Minnesota', 'Missouri', 'Mississippi', 'Montana', 'North Carolina',
 'North Dakota', 'Nebraska', 'New Hampshire', 'New Jersey', 'New Mexico',
 'Nevada', 'New York', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania',
 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas',
 'Utah', 'Virginia', 'Vermont', 'Washington', 'Wisconsin',
 'West Virginia', 'Wyoming',
]

all_results = {}
for state in states:
    print 'Downloading {}'.format(state)
    formatted_state = state.lower().replace(' ', '-')
    state_results = requests.get('https://static01.nyt.com/elections-assets/2020/data/api/2020-11-03/race-page/{}/president.json'.format(formatted_state)).json()
    all_results[formatted_state] = state_results

records = []
for state, state_results in all_results.iteritems():
    race = state_results['data']['races'][0]

    for candidate in race['candidates']:
        if candidate['party_id'] == 'republican':
            candidate['party'] = 'rep'
        elif candidate['party_id'] == 'democrat':
            candidate['party'] = 'dem'
        else:
            candidate['party'] = 'trd'
    candidates = { candidate['candidate_key']: candidate for candidate in race['candidates'] }

    for data_point in race['timeseries']:
        data_point['state']             = state
        data_point['expected_votes']    = race['tot_exp_vote']
        data_point['trump2016']         = race['trump2016']
        data_point['votes2012']         = race['votes2012']
        data_point['votes2016']         = race['votes2016']

        vote_shares = collapse_results_by_party(data_point['vote_shares'], candidates)
        for party in ['rep', 'dem', 'trd']:
            data_point['vote_share_{}'.format(party)] = vote_shares.get(party, 0)

        data_point.pop('vote_shares')
        records.append(data_point)

time_series_df = pd.DataFrame.from_records(records)
time_series_df.to_csv('data/nyt_ts.csv', encoding='utf-8')