Added EPA to stats recorded
This commit is contained in:
Ryan Fitz-Gerald
206
get_rankings.py
206
get_rankings.py
@@ -2,6 +2,7 @@ from pathlib import Path
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from typing import Optional
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import tbaapiv3client
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from tbaapiv3client.rest import ApiException
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import statbotics
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from pprint import pprint
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from datetime import datetime as dt
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@@ -19,25 +20,49 @@ config = tbaapiv3client.Configuration(
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config.verify_ssl = False
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district = 'fim'
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def get_rankings(api_client: tbaapiv3client.ApiClient, seasons: list[str]) -> dict[dict]:
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def get_rankings(api_client: tbaapiv3client.ApiClient, seasons: list[int]) -> dict[dict]:
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# Create an instance of the API class
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api_instance = tbaapiv3client.DistrictApi(api_client)
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rankings = {}
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for season in seasons:
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year = int(season[:4])
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try:
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results = api_instance.get_district_rankings(season)
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except ApiException as e:
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print("Exception when calling DistrictApi->get_district_rankings: %s\n" % e)
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else:
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epa_list:dict[int] = {}
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try:
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sb = statbotics.Statbotics()
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sb.session.verify = False
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sb_results = sb.get_team_years(year=year,district=district, limit=1000, fields=['team', 'epa_end'])
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except Exception as e:
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print("Exception when calling Statbotics DistrictApi->get_district_rankings: %s\n" % e)
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else:
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for sb_result in sb_results:
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epa_list[sb_result['team']] = sb_result['epa_end']
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for result in results:
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team = result.team_key
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team_num = int(team[3:])
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if team not in rankings:
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rankings[team] = {}
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epa = ''
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if team_num in epa_list:
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epa = epa_list[team_num]
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points_event1 = None
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points_event1_na = None
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points_event2 = None
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@@ -56,12 +81,15 @@ def get_rankings(api_client: tbaapiv3client.ApiClient, seasons: list[str]) -> di
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rankings[team][season] = {
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"rank": result.rank,
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"point_total": result.point_total,
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"epa_end": epa,
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"points_event1": points_event1,
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"points_event2": points_event2,
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"points_event1_na": points_event1_na,
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"points_event2_na": points_event2_na
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"points_event2_na": points_event2_na,
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}
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return rankings
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@@ -111,6 +139,7 @@ def write_power_rank(path: str | Path, sheet_name: str, rankings: list[dict], se
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rank_sum = 0
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point_total_sum = 0
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epa_sum = 0
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point_district_sum = 0
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point_district_na_sum = 0
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@@ -119,12 +148,14 @@ def write_power_rank(path: str | Path, sheet_name: str, rankings: list[dict], se
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for season in seasons:
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rank = ''
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point_total = ''
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epa = ''
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point_district = ''
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point_district_na = ''
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if season in ranks:
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rank = ranks[season]['rank']
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point_total = ranks[season]['point_total']
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epa = ranks[season]['epa_end']
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point_district = 0
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@@ -147,26 +178,33 @@ def write_power_rank(path: str | Path, sheet_name: str, rankings: list[dict], se
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point_district_sum += point_district
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point_district_na_sum += point_district_na
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if epa != '':
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epa_sum += epa
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entry_count += 1
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result[f'{season} Rank'] = rank
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result[f'{season} Point Total'] = point_total
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result[f'{season} EPA'] = epa
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result[f'{season} Points District'] = point_district
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result[f'{season} Points District No Awards'] = point_district_na
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rank_avg = ''
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point_total_avg = ''
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epa_avg = ''
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point_district_avg = ''
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point_district_na_avg = ''
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if entry_count > 0:
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rank_avg = rank_sum / entry_count
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point_total_avg = point_total_sum / entry_count
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epa_avg = epa_sum / entry_count
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point_district_avg = point_district_sum / entry_count
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point_district_na_avg = point_district_na_sum / entry_count
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result[f'Avg Rank'] = rank_avg
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result[f'Avg Point Total'] = point_total_avg
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result[f'Avg EPA'] = epa_avg
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result[f'Avg Points District'] = point_district_avg
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result[f'Avg Points District No Awards'] = point_district_na_avg
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@@ -175,7 +213,7 @@ def write_power_rank(path: str | Path, sheet_name: str, rankings: list[dict], se
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headers = ['team']
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prefix_list = seasons.copy()
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prefix_list.append('Avg')
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suffix_list = ['Rank', 'Point Total',
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suffix_list = ['Rank', 'Point Total', 'EPA',
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'Points District', 'Points District No Awards']
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for suffix in suffix_list:
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@@ -185,6 +223,85 @@ def write_power_rank(path: str | Path, sheet_name: str, rankings: list[dict], se
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write_result(path, results_list, sheet_name, headers=headers)
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def write_event_summary(path: str | Path, seasons: list[str], event_teams: dict[dict], rankings: dict[dict]) -> None:
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event_summary: list[dict] = []
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for key, event in event_teams.items():
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rank_sum = 0
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point_total_sum = 0
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epa_sum = 0
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point_district_sum = 0
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point_district_na_sum = 0
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entry_count = 0
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event_rankings: dict[dict] = {}
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for team in event['teams']:
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if team in rankings:
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event_rankings[team] = rankings[team]
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else:
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event_rankings[team] = {}
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if team in rankings:
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for season in seasons:
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if season in rankings[team]:
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team_season = rankings[team][season]
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rank_sum += team_season['rank']
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point_total_sum += team_season['point_total']
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if team_season['epa_end'] != '':
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epa_sum += team_season['epa_end']
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if team_season['points_event1'] is not None:
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point_district_sum += team_season['points_event1']
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if team_season['points_event2'] is not None:
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point_district_sum += team_season['points_event2']
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if team_season['points_event1_na'] is not None:
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point_district_na_sum += team_season['points_event1_na']
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if team_season['points_event2_na'] is not None:
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point_district_na_sum += team_season['points_event2_na']
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entry_count += 1
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write_power_rank(path, event['key'], event_rankings, seasons)
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# Generate Event Summary
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rank_avg = ''
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point_total_avg = ''
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epa_avg = ''
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point_district_avg = ''
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point_district_na_avg = ''
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if entry_count > 0:
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rank_avg = rank_sum / entry_count
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point_total_avg = point_total_sum / entry_count
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epa_avg = epa_sum / entry_count
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point_district_avg = point_district_sum / entry_count
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point_district_na_avg = point_district_na_sum / entry_count
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event_summary.append({
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'key': key,
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'name': event['name'],
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'start date': event['start date'],
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'week': event['week'],
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'average rank': rank_avg,
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'average point total': point_total_avg,
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'average EPA': epa_avg,
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'average point district': point_district_avg,
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'average point district no awards': point_district_na_avg,
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'entries': entry_count,
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'team count': len(event['teams'])
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})
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# Write Event Summary
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write_result(path, event_summary, "Summary", 0)
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def write_rank(path: str | Path, rankings: list[dict], seasons: list[str]) -> None:
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# Create annual rank CSV
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results_list: list[dict] = []
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@@ -304,94 +421,29 @@ def write_result(path: str | Path, results_list: list[dict], sheet_name: Optiona
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def main():
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# Initialize system
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run_time = dt.now()
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run_time_str = run_time.strftime('%Y%m%d_%H%M')
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skip_years = [2020, 2021]
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seasons = [f'{year}fim' for year in range(2022, 2025) if year not in skip_years]
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seasons = [f'{year}{district}' for year in range(
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2022, 2025) if year not in skip_years]
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root_dir = Path('results')
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event_details_path = root_dir / f'{run_time_str} - Event Details.xlsx'
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# Get Statistics
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with tbaapiv3client.ApiClient(config) as api_client:
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print('Getting Team Rankings')
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rankings = get_rankings(api_client, seasons)
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print('Getting event team lists')
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event_teams = get_event_teams(api_client, '2025fim')
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event_summary: list[dict] = []
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for key, event in event_teams.items():
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rank_sum = 0
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point_total_sum = 0
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point_district_sum = 0
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point_district_na_sum = 0
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entry_count = 0
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event_rankings: dict[dict] = {}
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for team in event['teams']:
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if team in rankings:
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event_rankings[team] = rankings[team]
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else:
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event_rankings[team] = {}
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if team in rankings:
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for season in seasons:
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if season in rankings[team]:
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team_season = rankings[team][season]
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rank_sum += team_season['rank']
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point_total_sum += team_season['point_total']
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if team_season['points_event1'] is not None:
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point_district_sum += team_season['points_event1']
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if team_season['points_event2'] is not None:
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point_district_sum += team_season['points_event2']
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if team_season['points_event1_na'] is not None:
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point_district_na_sum += team_season['points_event1_na']
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if team_season['points_event2_na'] is not None:
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point_district_na_sum += team_season['points_event2_na']
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entry_count += 1
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write_power_rank(event_details_path, event['key'], event_rankings, seasons)
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# Generate Event Summary
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rank_avg = ''
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point_total_avg = ''
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point_district_avg = ''
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point_district_na_avg = ''
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if entry_count > 0:
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rank_avg = rank_sum / entry_count
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point_total_avg = point_total_sum / entry_count
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point_district_avg = point_district_sum / entry_count
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point_district_na_avg = point_district_na_sum / entry_count
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event_summary.append({
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'key': key,
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'name': event['name'],
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'start date': event['start date'],
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'week': event['week'],
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'average rank': rank_avg,
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'average point total': point_total_avg,
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'average point district': point_district_avg,
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'average point district no awards': point_district_na_avg,
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'entries': entry_count,
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'team count': len(event['teams'])
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})
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# Write Event Summary
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print('Writing Event Summary')
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write_result(event_details_path, event_summary, "Summary", 0)
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write_event_summary(
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root_dir / f'{run_time_str} - Event Details.xlsx', seasons, event_teams, rankings)
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# Write Power Rankings
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print('Writing Power Ranking')
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