From 252fd37effbb531b87347bf8e0861b36364f4230 Mon Sep 17 00:00:00 2001
From: benny-dreyf <bendreyfuss@fastmail.com>
Date: Fri, 8 Sep 2023 18:53:51 -0400
Subject: [PATCH] changing a few things in schedule pull

---
 R/nfl_season_schedule.R | 58 ++++++++++++++++++++---------------------
 1 file changed, 29 insertions(+), 29 deletions(-)

diff --git a/R/nfl_season_schedule.R b/R/nfl_season_schedule.R
index 51092a3..091300f 100644
--- a/R/nfl_season_schedule.R
+++ b/R/nfl_season_schedule.R
@@ -7,34 +7,34 @@
 #' @example None
 #'
 #' @export
-nfl_season_schedule<-function(year){
-  nfl_year<- paste('https://www.pro-football-reference.com/years/', year, '/games.htm', sep= '')
+nfl_season_schedule<-function(season_year){
+  nfl_year<- paste('https://www.pro-football-reference.com/years/', season_year, '/games.htm', sep= '')
   nfl_year
-  rvest::read_html(nfl_year) |>
-    rvest::html_elements('table') |>
-    rvest::html_table() |>
-    dplyr::bind_rows() |>
-    janitor::clean_names(case= 'snake') |>
-    rename(date= x3, ) |>
-    filter(week != 'Pre0' & week != 'Pre1' & week != 'Pre2' & week != 'Pre3' &  week != 'Week' & date != 'Playoffs') |>
-    dplyr::filter(week != 'Week' & date != 'Playoffs') |>
-    dplyr::mutate(week= case_when(week == 'WildCard' ~ '19',
-                                  week == 'Division' ~ '20',
-                                  week == 'ConfChamp' ~ '21',
-                                  week == 'SuperBowl' ~ '22',
-                                  T ~ week),
-                  week= as.numeric(week)) |>
-    dplyr::select(week, day, date, time, away= vis_tm, home= home_tm) |>
-    mutate(year= nfl_year) |>
-    dplyr::group_by(week) |>
-    dplyr::group_split() |>
-    purrr::map(dplyr::mutate, game_num= dplyr::row_number()) |>
-    dplyr::bind_rows() |>
-    tidyr::unite(col = 'game_time', date, year, time, sep= " ") |>
-    dplyr::mutate(game_time= lubridate::mdy_hm(game_time)) |>
-    tidyr::pivot_longer(cols= -c('week', 'day', 'game_time', 'game_num'), names_to = 'home_away', values_to = 'team') |>
-    dplyr::select(week, day, game_time, game_num, home_away, team) |>
-    dplyr::left_join(readr::read_csv('team_abbrev_match.csv'), by= 'team') |>
-    dplyr::rename(team_abbrev= abrev) |>
-    dplyr::select(week, day, game_time, game_num, team, team_abbrev, home_away)
+rvest::read_html(nfl_year) |>
+  rvest::html_elements('table') |>
+  rvest::html_table() |>
+  dplyr::bind_rows() |>
+  janitor::clean_names(case= 'snake') |>
+  # rename(date= x3) |>
+  filter(week != 'Pre0' & week != 'Pre1' & week != 'Pre2' & week != 'Pre3' &  week != 'Week' & date != 'Playoffs') |>
+  dplyr::filter(week != 'Week' & date != 'Playoffs') |>
+  dplyr::mutate(week= case_when(week == 'WildCard' ~ '19',
+                                week == 'Division' ~ '20',
+                                week == 'ConfChamp' ~ '21',
+                                week == 'SuperBowl' ~ '22',
+                                T ~ week),
+                week= as.numeric(week)) |>
+  dplyr::select(week, day, date, time, away= winner_tie, home= loser_tie) |>
+  mutate(year= season_year) |>
+  dplyr::group_by(week) |>
+  dplyr::group_split() |>
+  purrr::map(dplyr::mutate, game_num= dplyr::row_number()) |>
+  dplyr::bind_rows() |>
+  tidyr::unite(col = 'game_time', date, time, sep= " ") |>
+  dplyr::mutate(game_time= lubridate::ymd_hm(game_time)) |>
+  tidyr::pivot_longer(cols= -c('week', 'day', 'game_time', 'game_num', 'year'), names_to = 'home_away', values_to = 'team') |>
+  dplyr::select(week, day, game_time, game_num, home_away, team) |>
+  dplyr::left_join(readr::read_csv('team_abbrev_match.csv'), by= 'team') |>
+  dplyr::rename(team_abbrev= abrev) |>
+  dplyr::select(week, day, game_time, game_num, team, team_abbrev, home_away)
 }