# Functions
get_winner_name <- function(match_row) {
  if(match_row["home_score"] > match_row["away_score"]) {
    return(match_row["home_team"])
  }
  else if(match_row["home_score"] < match_row["away_score"]) {
    return(match_row["away_team"])
  }
  else {
    return("Draw")
  }
}

# Load data
football_data <- as_tibble(read.csv("results.csv", encoding = "UTF-8")) %>%
  mutate(winner = apply(., 1, get_winner_name))

# Prepare data
home_teams <- football_data %>%
  select("home_team") %>% unique()

away_teams <- football_data %>%
  select("away_team") %>% unique()

teams <- merge(home_teams, away_teams,
               by.x = "home_team", by.y = "away_team")

tournament_types <- football_data %>%
  pull(tournament) %>% unique() %>% sort()

getDateFromData <- function(matchesData) {
  return(
    matchesData %>% 
      select(date) %>%
      mutate(date = as.Date(date, "%Y-%m-%d"))
  )
}

date_values <- getDateFromData(football_data)

min_date_from <-  getDateFromData(football_data) %>%
  summarise(min = min(date)) %>% pull()

max_date_to <- getDateFromData(football_data) %>%
  summarise(max = max(date)) %>% pull()