import pandas as pd
import csv
from collections import defaultdict
import itertools

def GreatCoach():
    path = f"../predata/team_programs.csv"
    k=16
    data=read_csv(path)
    improve_years = find_improve_fast_year(data)
    # print(improve_years)
    pairs = find_pairs_within_k(improve_years, k)
    print(pairs)
    WriteData(pairs)

def LoadData():
    path = f"../predata/team_programs.csv"
    df = pd.read_csv(path,index_col=0)
    return df


# 读取CSV文件
def read_csv(file_name):
    data = defaultdict(lambda: defaultdict(dict))
    with open(file_name, 'r') as file:
        reader = csv.DictReader(file)
        for row in reader:
            team = row['Team']
            sport = row['Sport']
            for year in range(1896, 2025, 4):
                if str(year) in row:
                    data[sport][team][year] = float(row[str(year)])
    return data

# 找到每个国家在每个运动项目中的表现提升最快的年份
def find_improve_fast_year(data):
    improve_years = defaultdict(lambda: defaultdict(list))
    improve_limit=15
    for sport, teams in data.items():
        for team, performances in teams.items():
            max_increase = 0
            improve_year = None
            sorted_years = sorted(performances.keys())
            for i in range(1, len(sorted_years)):
                increase = performances[sorted_years[i]] - performances[sorted_years[i - 1]]
                if increase > max_increase and increase >= improve_limit:
                    max_increase = increase
                    improve_year = sorted_years[i]
            if improve_year:
                improve_years[sport][team].append(improve_year)
    return improve_years



# 对每个链表进行排序并找到在窗口期k内的配对
def find_pairs_within_k(improve_years, k):
    pairs = defaultdict(list)
    for sport, teams in improve_years.items():
        # print(teams)
        keys_list = list(teams.keys())
        values_list = [values[0] for values in teams.values()]
        l=len(keys_list)
        for i in range(l):
            for j in range(i+1,l):
                team1=keys_list[i]
                team2=keys_list[j]
                year1=values_list[i]
                year2=values_list[j]
                if abs(year1-year2)<=k and abs(year1-year2)>=4:
                    pairs[sport].append((team1, year1, team2, year2))
        # for team1, year1 in teams.items():
        #     for team2, year2 in teams.items():
        #         if team1 != team2 and year1[0]!=year2[0]:
        #             if abs(year1[0]-year2[0])<=k:
        #                 pairs[sport].append((team1, year1[0], team2, year2[0]))
    return pairs

def WriteData(data):
    # 写入文件
    path = f"./MaybeGreatCoachPairs.txt"
    # file_path = 'sports_data.txt'  # 定义文件路径
    with open(path, 'w', encoding='utf-8') as file:
        for sport, pairs in data.items():
            # 将数据格式化为字符串
            formatted_data = f"{sport} : {pairs}\n"
            file.write(formatted_data)  # 写入文件
    print(f"数据已成功写入文件：{path}")

if __name__=="__main__":
    GreatCoach()