library(shiny)
library(gt)
library(dplyr)
library(shinyjs)
library(shinyauthr)
#library(gtExtras)
library(bslib)

Bean <- read.csv('Beam.csv')

test <- Beam %>%
  select(Date,PitchofPA,Pitcher,PitcherId,PitcherThrows,PitcherTeam,Batter,BatterId,
         BatterSide,BatterTeam,Inning,`Top/Bottom`,Outs,Balls,Strikes,TaggedPitchType,
         AutoPitchType,PitchCall,TaggedHitType,KorBB,PlayResult,OutsOnPlay,RunsScored,
         RelSpeed,VertRelAngle,HorzRelAngle,SpinRate,SpinAxis,Tilt,RelHeight,RelSide,
         Extension,InducedVertBreak,HorzBreak,PlateLocHeight,PlateLocSide,VertApprAngle,
         HorzApprAngle,ExitSpeed,Angle,Direction,Distance,pfxx,pfxz,x0,z0,vx0,vy0,vz0,
         ax0,ay0,az0,Level,League,ContactPositionX,ContactPositionY,ContactPositionZ,
         SpinAxis3dTransverseAngle,SpinAxis3dLongitudinalAngle,SpinAxis3dTilt,
         SpinAxis3dSpinEfficiency,SpinAxis3dSeamOrientationRotationX,
         SpinAxis3dSeamOrientationRotationY,SpinAxis3dSeamOrientationRotationZ)
test <- test %>%
  mutate("Hit" = case_when(PlayResult %in% c("Single","Double","Triple","HomeRun") ~ TRUE,TRUE ~ FALSE),
         "CallStrike" = case_when(PitchCall %in% c("StrikeCalled") ~ TRUE, TRUE ~ FALSE),
         "Whiff" = case_when(PitchCall %in% c("StrikeSwinging") ~ TRUE, TRUE ~ FALSE),
         "CSW" = CallStrike + Whiff,
         "Contact" = case_when(PitchCall %in% c("FoulBall","FouBallNotFieldable","InPlay") ~ TRUE, TRUE ~ FALSE),
         "GB" = case_when(TaggedHitType %in% c('GroundBall') ~ TRUE, TRUE ~ FALSE),
         "LD" = case_when(TaggedHitType %in% c('LineDrive') ~ TRUE, TRUE ~ FALSE),
         "FB" = case_when(TaggedHitType %in% c ("FlyBall") ~ TRUE, TRUE ~ FALSE),
         "PopU" = case_when(TaggedHitType %in% c ("Popup") ~ TRUE, TRUE ~ FALSE),
         "Swing" = Whiff + Contact,
         "BBE" = GB + LD + FB + PopU,
         "HardHit" = ifelse(ExitSpeed >= 95,TRUE,FALSE),
         "Ball" = case_when(PitchCall %in% c("BallCalled","BallinDirt") ~ TRUE, TRUE ~ FALSE),
         "Single" = case_when(PlayResult %in% c("Single") ~ TRUE, TRUE ~ FALSE),
         "Double" = case_when(PlayResult %in% c("Double") ~ TRUE, TRUE ~ FALSE),
         "Triple" = case_when(PlayResult %in% c("Triple") ~ TRUE, TRUE ~ FALSE),
         "HR" = case_when(PlayResult %in% c("HomeRun") ~ TRUE, TRUE ~ FALSE),
         "Sac" = case_when(PlayResult %in% c("Sacrifice") ~ TRUE, TRUE ~ FALSE),
         "HBP" = case_when(PitchCall %in% c("HitByPitch") ~ TRUE, TRUE ~ FALSE),
         "Error" = case_when(PlayResult %in% c("Error") ~ TRUE, TRUE ~ FALSE),
         "FC"= case_when(PlayResult %in% c("FieldersChoice") ~ TRUE, TRUE ~ FALSE),
         "Out" = case_when(PlayResult %in% c ("Out") ~ TRUE, TRUE ~ FALSE),
         "BIP" = Single + Double + Triple + HR + Sac + Error + Out + FC,
         "Count" = paste0(Balls,"-",Strikes),
         "Strikeout" = ifelse(KorBB == "Strikeout",TRUE,FALSE),
         "Walk" = ifelse(KorBB == "Walk",TRUE,FALSE),
         "Zone" = case_when(between(PlateLocSide,-.825,.825) & between(PlateLocHeight,1.45,3.45) ~ TRUE, TRUE ~ FALSE),
         "AB" = Strikeout + BIP - Sac,
         "PA" = Strikeout + BIP + Walk + HBP
  )


gt_theme_tim <- function(gt_object,...) {
  
  stopifnot(`'gt_object' must be a 'gt_tbl', have you accidentally passed raw data?` = "gt_tbl" %in% 
              class(gt_object))
  
  table_id <- subset(gt_object[['_options']], parameter == 'table_id')$value[[1]]
  
  if (is.na(table_id)) {
    table_id <- gt::random_id()
    opt_position <- which("table_id" %in% gt_object[["_options"]][["parameter"]])[[1]]
    gt_object[["_options"]][["value"]][[opt_position]] <- table_id
  }
  
  gt_object %>%
    # cell body
    gt::tab_style(
      locations = gt::cells_body(),
      style = gt::cell_text(font = "Arial", size = px(14))
    ) %>%
    # col. headers
    gt::tab_style(
      locations = gt::cells_column_labels(),
      style = gt::cell_text(weight = 'bold', font = "Arial", size = px(14))
    ) %>%
    # group rows
    gt::tab_style(
      locations = gt::cells_row_groups(),
      style = list(
        gt::cell_text(font = "Arial", weight = 650, size = px(14), color = "#FFFDF5"),
        gt::cell_fill(color = "#000000")
      )
    ) %>%
    # footnote
    gt::tab_style(
      locations = gt::cells_footnotes(),
      style = gt::cell_text(font = "Arial", size = px(12))
    ) %>%
    # title
    gt::tab_style(
      locations = gt::cells_title('title'),
      style = gt::cell_text(weight = 'bold', font = "Arial", size = px(18))
    ) %>%
    # subtitle
    gt::tab_style(
      locations = gt::cells_title('subtitle'),
      style = gt::cell_text(font = "Arial", size = px(14))
    ) %>%
    # caption
    gt::tab_style(
      locations = gt::cells_source_notes(),
      style = gt::cell_text(font = "Arial", size = px(12))
    ) %>%
    # spanner
    gt::tab_style(
      locations = gt::cells_column_spanners(),
      style = gt::cell_text(font = "Arial", weight = 650, size = px(8))
    ) %>%
    gt::tab_options(
      data_row.padding = 1,
      table_body.hlines.color = "transparent",
      column_labels.border.top.color = 'black',
      column_labels.border.top.width = px(1),
      column_labels.border.bottom.style = 'none',
      #column_labels.background.color = "orange",
      row_group.border.top.style = "none",
      row_group.border.top.color = "black",
      row_group.border.bottom.width = px(1),
      row_group.border.bottom.color = "black",
      row_group.border.bottom.style = 'solid',
      row_group.padding = px(1.5),
      heading.align = 'center',
      heading.border.bottom.style = "none",
      table_body.border.top.style = "none",
      table_body.border.bottom.color = "white",
      table.border.bottom.style = 'none',
      table.border.top.style = 'none',
      source_notes.border.lr.style = "none",
      ...
    ) %>%
    gt::opt_row_striping()
}

user_base <- tibble::tibble(
  user = c("TrentR", "user2"),
  password = sapply(c("Caprisun", "pass2")),
  permissions = c("admin", "standard"),
  name = c("User One", "User Two")
)

# Define UI for application that draws a histogram
ui <- fluidPage(
  div(class = "pull-right", shinyauthr::logoutUI(id = "logout")),
  
  # login section
  shinyauthr::loginUI(id = "login"),
  
  div(
    id = "bar",
  # Application title
  titlePanel("College Pitcher"),
  
  # Sidebar layout
  sidebarLayout(
    sidebarPanel(
      selectInput("player",
                  "Select Player",
                  choices = unique(test$Pitcher)),
      width = 3
    ),
    
    mainPanel(
      tabsetPanel(
        tabPanel("Splits",
                 gt_output("CountFilter"),
                 gt_output("PitchFilter"),
                 gt_output("PitchSideFilter"),
                 gt_output("InningFilter"),   
                 gt_output("SideFilter")      
        )
      ),
      width = 9
    )
  )
  ) %>% shinyjs::hidden()
)

# Define server logic required to draw a histogram
server <- function(input, output) {
  
  credentials <- shinyauthr::loginServer(
    id = "login",
    data = user_base,
    user_col = user,
    pwd_col = password,
    sodium_hashed = FALSE,
    log_out = reactive(logout_init())
  )
  
  # Logout to hide
  logout_init <- shinyauthr::logoutServer(
    id = "logout",
    active = reactive(credentials()$user_auth)
  )
  
  observe({
    req(credentials()$user_auth)
    shinyjs::show(id = "bar")
  })
  
    output$CountFilter <- render_gt({
      test <- test %>% filter(Pitcher == input$player) %>% group_by(Count) %>%
        summarise(
          Pitches = n(),
          #BBE = sum(BBE,na.rm = TRUE),
          "Whiff%" = mean(Whiff,na.rm = TRUE),
          "CSW%" = mean(CSW,na.rm = TRUE),
          "Zone%" = mean(Zone,na.rm = TRUE),
          "ZCon%" = mean(Contact[Zone == TRUE & Swing == TRUE],na.rm = TRUE),
          "ZSwing%" = mean(Swing[Zone == TRUE],na.rm = TRUE),
          "OCon%" = mean(Contact[Zone == FALSE & Swing == TRUE],na.rm = TRUE),
          "OSwing%" = mean(Swing[Zone == FALSE],na.rm = TRUE),
          "Avg EV" = mean(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "EV90" = quantile(ExitSpeed[BBE == TRUE],.9,na.rm = TRUE),
          "Max EV" = max(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "Max EV" = ifelse(is.infinite(`Max EV`),NA,`Max EV`),
          "GB%" = mean(GB[BBE == TRUE],na.rm = TRUE),
          "LD%" = mean(LD[BBE == TRUE],na.rm = TRUE),
          "FB%" = mean(FB[BBE == TRUE],na.rm = TRUE),
          "AVG" = round(sum(Hit,na.rm = TRUE) / sum(AB,na.rm = TRUE),digits = 3),
          "OBP" = round((sum(Hit,na.rm = TRUE) + sum(Walk,na.rm = TRUE) + sum(HBP,na.rm = TRUE))/ 
                         sum(PA,na.rm = TRUE),digits = 3),
          "SLG" = (round(sum(Single,na.rm = TRUE) + sum(Double,na.rm = TRUE) * 2 + 
                         sum(Triple,na.rm = TRUE) * 3 + sum(HR,na.rm = TRUE)))/sum(AB,na.rm = TRUE))%>%
        ungroup()%>% 
        gt() %>% 
        gt_theme_tim() %>%
        fmt_number(columns = `Avg EV`:`Max EV`,decimals = 1) %>%
        cols_width(Count:Pitches ~ px(70),
          everything() ~ px(85)) %>%
        cols_align(align = "center") %>%
        fmt_number(columns = AVG:SLG,decimals = 3) %>%
        fmt_percent(columns = ends_with("%")) %>%
        sub_missing() %>%
        #gt_theme_savant() %>% 
        opt_interactive(
          use_compact_mode = TRUE,
          use_pagination = FALSE
        )
    })
    output$PitchFilter <- render_gt({
      tes <- test %>% 
        filter(Pitcher == input$player) %>% 
        group_by(AutoPitchType) %>%
        summarise(
          Pitches = n(),
         # BBE = sum(BBE,na.rm = TRUE),
          "Usage%" = n() / nrow(.),  # Added Usage% calculation
          "Whiff%" = mean(Whiff, na.rm = TRUE),
          "CSW%" = mean(CSW, na.rm = TRUE),
          "Zone%" = mean(Zone, na.rm = TRUE),
          "ZCon%" = mean(Contact[Zone == TRUE & Swing == TRUE], na.rm = TRUE),
          "ZSwing%" = mean(Swing[Zone == TRUE], na.rm = TRUE),
          "OCon%" = mean(Contact[Zone == FALSE & Swing == TRUE], na.rm = TRUE),
          "OSwing%" = mean(Swing[Zone == FALSE], na.rm = TRUE),
          "Avg EV" = mean(ExitSpeed[BBE == TRUE], na.rm = TRUE),
          "EV90" = quantile(ExitSpeed[BBE == TRUE], .9, na.rm = TRUE),
          "Max EV" = max(ExitSpeed[BBE == TRUE], na.rm = TRUE),
          "Max EV" = ifelse(is.infinite(`Max EV`), NA, `Max EV`),
          "GB%" = mean(GB[BBE == TRUE], na.rm = TRUE),
          "LD%" = mean(LD[BBE == TRUE], na.rm = TRUE),
          "FB%" = mean(FB[BBE == TRUE], na.rm = TRUE),
          "AVG" = round(sum(Hit, na.rm = TRUE) / sum(AB, na.rm = TRUE), digits = 3),
          "OBP" = round((sum(Hit, na.rm = TRUE) + sum(Walk, na.rm = TRUE) + sum(HBP, na.rm = TRUE)) / 
                          sum(PA, na.rm = TRUE), digits = 3),
          "SLG" = (round(sum(Single, na.rm = TRUE) + sum(Double, na.rm = TRUE) * 2 + 
                           sum(Triple, na.rm = TRUE) * 3 + sum(HR, na.rm = TRUE))) / sum(AB, na.rm = TRUE)
        ) %>%
        ungroup() %>% 
        arrange(desc(Pitches)) %>%
        gt() %>% 
        gt_theme_tim() %>%
        fmt_number(columns = `Avg EV`:`Max EV`, decimals = 1) %>%
        cols_label(AutoPitchType = "Type") %>%
        cols_width(
          AutoPitchType ~ px(100),
          Pitches ~ px(70),
          everything() ~ px(85)
        ) %>%
        cols_align(align = "center") %>%
        fmt_number(columns = AVG:SLG, decimals = 3) %>%
        fmt_percent(columns = ends_with("%")) %>%
        sub_missing() %>%
        opt_interactive(
          use_compact_mode = TRUE,
          use_pagination = FALSE
        )
    })
    output$PitchSideFilter <- render_gt({
      test <- test %>% 
        filter(Pitcher == input$player) %>% 
        group_by(BatterSide) %>%
        mutate(total_side = n()) %>%
        ungroup() %>%
        group_by(AutoPitchType, BatterSide) %>%
        summarise(
          Pitches = n(),
          #BBE = sum(BBE,na.rm = TRUE),
          "Usage%" = (n() / first(total_side)),
          "Whiff%" = mean(Whiff, na.rm = TRUE),
          "CSW%" = mean(CSW, na.rm = TRUE),
          "Zone%" = mean(Zone, na.rm = TRUE),
          "ZCon%" = mean(Contact[Zone == TRUE & Swing == TRUE], na.rm = TRUE),
          "ZSwing%" = mean(Swing[Zone == TRUE], na.rm = TRUE),
          "OCon%" = mean(Contact[Zone == FALSE & Swing == TRUE], na.rm = TRUE),
          "OSwing%" = mean(Swing[Zone == FALSE], na.rm = TRUE),
          "Avg EV" = mean(ExitSpeed[BBE == TRUE], na.rm = TRUE),
          "EV90" = quantile(ExitSpeed[BBE == TRUE], .9, na.rm = TRUE),
          "Max EV" = max(ExitSpeed[BBE == TRUE], na.rm = TRUE),
          "Max EV" = ifelse(is.infinite(`Max EV`), NA, `Max EV`),
          "GB%" = mean(GB[BBE == TRUE], na.rm = TRUE),
          "LD%" = mean(LD[BBE == TRUE], na.rm = TRUE),
          "FB%" = mean(FB[BBE == TRUE], na.rm = TRUE),
          "AVG" = round(sum(Hit, na.rm = TRUE) / sum(AB, na.rm = TRUE), digits = 3),
          "OBP" = round((sum(Hit, na.rm = TRUE) + sum(Walk, na.rm = TRUE) + sum(HBP, na.rm = TRUE)) / 
                          sum(PA, na.rm = TRUE), digits = 3),
          "SLG" = (round(sum(Single, na.rm = TRUE) + sum(Double, na.rm = TRUE) * 2 + 
                           sum(Triple, na.rm = TRUE) * 3 + sum(HR, na.rm = TRUE))) / sum(AB, na.rm = TRUE)
        ) %>%
        ungroup() %>% 
        arrange(desc(BatterSide),desc(Pitches)) %>%
        gt() %>% 
        gt_theme_tim() %>%
        fmt_number(columns = `Avg EV`:`Max EV`, decimals = 1) %>%
        cols_label(AutoPitchType = "Type", BatterSide = "Side") %>%
        cols_width(
          AutoPitchType ~ px(100),
          Pitches ~ px(70),
          BatterSide ~ px(70),
          everything() ~ px(85)
        ) %>%
        cols_align(align = "center") %>%
        fmt_number(columns = AVG:SLG, decimals = 3) %>%
        fmt_percent(columns = ends_with("%")) %>%
        sub_missing() %>%
        opt_interactive(
          use_compact_mode = TRUE,
          use_pagination = FALSE
        )
    })
    output$InningFilter <- render_gt({
      test <- test %>% filter(Pitcher == input$player) %>% group_by(Inning) %>%
        summarise(
          Pitches = n(),
          #BBE = sum(BBE,na.rm = TRUE),
          "Whiff%" = mean(Whiff,na.rm = TRUE),
          "CSW%" = mean(CSW,na.rm = TRUE),
          "Zone%" = mean(Zone,na.rm = TRUE),
          "ZCon%" = mean(Contact[Zone == TRUE & Swing == TRUE],na.rm = TRUE),
          "ZSwing%" = mean(Swing[Zone == TRUE],na.rm = TRUE),
          "OCon%" = mean(Contact[Zone == FALSE & Swing == TRUE],na.rm = TRUE),
          "OSwing%" = mean(Swing[Zone == FALSE],na.rm = TRUE),
          "Avg EV" = mean(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "EV90" = quantile(ExitSpeed[BBE == TRUE],.9,na.rm = TRUE),
          "Max EV" = max(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "Max EV" = ifelse(is.infinite(`Max EV`),NA,`Max EV`),
          "GB%" = mean(GB[BBE == TRUE],na.rm = TRUE),
          "LD%" = mean(LD[BBE == TRUE],na.rm = TRUE),
          "FB%" = mean(FB[BBE == TRUE],na.rm = TRUE),
          "AVG" = round(sum(Hit,na.rm = TRUE) / sum(AB,na.rm = TRUE),digits = 3),
          "OBP" = round((sum(Hit,na.rm = TRUE) + sum(Walk,na.rm = TRUE) + sum(HBP,na.rm = TRUE))/ 
                          sum(PA,na.rm = TRUE),digits = 3),
          "SLG" = (round(sum(Single,na.rm = TRUE) + sum(Double,na.rm = TRUE) * 2 + 
                           sum(Triple,na.rm = TRUE) * 3 + sum(HR,na.rm = TRUE)))/sum(AB,na.rm = TRUE))%>%
        ungroup()%>% 
        gt() %>% 
        gt_theme_tim() %>%
        fmt_number(columns = `Avg EV`:`Max EV`,decimals = 1) %>%
        cols_width(Inning:Pitches ~ px(70),
                   everything() ~ px(85)) %>%
        cols_align(align = "center") %>%
        fmt_number(columns = AVG:SLG,decimals = 3) %>%
        fmt_percent(columns = ends_with("%")) %>%
        sub_missing() %>%
        #gt_theme_savant() %>% 
        opt_interactive(
          use_compact_mode = TRUE,
          use_pagination = FALSE
        )
    })
    output$SideFilter <- render_gt({
      test1 <- test %>% filter(Pitcher == input$player) %>% group_by(BatterSide) %>%
        summarise(
          Pitches = n(),
          #BBE = sum(BBE,na.rm = TRUE),
          "Whiff%" = mean(Whiff,na.rm = TRUE),
          "CSW%" = mean(CSW,na.rm = TRUE),
          "Zone%" = mean(Zone,na.rm = TRUE),
          "ZCon%" = mean(Contact[Zone == TRUE & Swing == TRUE],na.rm = TRUE),
          "ZSwing%" = mean(Swing[Zone == TRUE],na.rm = TRUE),
          "OCon%" = mean(Contact[Zone == FALSE & Swing == TRUE],na.rm = TRUE),
          "OSwing%" = mean(Swing[Zone == FALSE],na.rm = TRUE),
          "Avg EV" = mean(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "EV90" = quantile(ExitSpeed[BBE == TRUE],.9,na.rm = TRUE),
          "Max EV" = max(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "Max EV" = ifelse(is.infinite(`Max EV`),NA,`Max EV`),
          "GB%" = mean(GB[BBE == TRUE],na.rm = TRUE),
          "LD%" = mean(LD[BBE == TRUE],na.rm = TRUE),
          "FB%" = mean(FB[BBE == TRUE],na.rm = TRUE),
          "AVG" = round(sum(Hit,na.rm = TRUE) / sum(AB,na.rm = TRUE),digits = 3),
          "OBP" = round((sum(Hit,na.rm = TRUE) + sum(Walk,na.rm = TRUE) + sum(HBP,na.rm = TRUE))/ 
                          sum(PA,na.rm = TRUE),digits = 3),
          "SLG" = (round(sum(Single,na.rm = TRUE) + sum(Double,na.rm = TRUE) * 2 + 
                           sum(Triple,na.rm = TRUE) * 3 + sum(HR,na.rm = TRUE)))/sum(AB,na.rm = TRUE))%>%
        ungroup()
      test2 <- test %>% mutate(BatterSide = "Both") %>%filter(Pitcher == "Beam, Drew") %>% group_by(BatterSide) %>%
        summarise(
          Pitches = n(),
          #BBE = sum(BBE,na.rm = TRUE),
          "Whiff%" = mean(Whiff,na.rm = TRUE),
          "CSW%" = mean(CSW,na.rm = TRUE),
          "Zone%" = mean(Zone,na.rm = TRUE),
          "ZCon%" = mean(Contact[Zone == TRUE & Swing == TRUE],na.rm = TRUE),
          "ZSwing%" = mean(Swing[Zone == TRUE],na.rm = TRUE),
          "OCon%" = mean(Contact[Zone == FALSE & Swing == TRUE],na.rm = TRUE),
          "OSwing%" = mean(Swing[Zone == FALSE],na.rm = TRUE),
          "Avg EV" = mean(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "EV90" = quantile(ExitSpeed[BBE == TRUE],.9,na.rm = TRUE),
          "Max EV" = max(ExitSpeed[BBE == TRUE],na.rm = TRUE),
          "Max EV" = ifelse(is.infinite(`Max EV`),NA,`Max EV`),
          "GB%" = mean(GB[BBE == TRUE],na.rm = TRUE),
          "LD%" = mean(LD[BBE == TRUE],na.rm = TRUE),
          "FB%" = mean(FB[BBE == TRUE],na.rm = TRUE),
          "AVG" = round(sum(Hit,na.rm = TRUE) / sum(AB,na.rm = TRUE),digits = 3),
          "OBP" = round((sum(Hit,na.rm = TRUE) + sum(Walk,na.rm = TRUE) + sum(HBP,na.rm = TRUE))/ 
                          sum(PA,na.rm = TRUE),digits = 3),
          "SLG" = (round(sum(Single,na.rm = TRUE) + sum(Double,na.rm = TRUE) * 2 + 
                           sum(Triple,na.rm = TRUE) * 3 + sum(HR,na.rm = TRUE)))/sum(AB,na.rm = TRUE))%>%
        ungroup()
      test <- rbind(test1,test2)
      test %>%
        gt() %>% 
        gt_theme_tim() %>%
        fmt_number(columns = `Avg EV`:`Max EV`,decimals = 1) %>%
        cols_width(BatterSide:Pitches ~ px(70),
                   everything() ~ px(85)) %>%
        cols_align(align = "center") %>%
        cols_label(BatterSide = "Side") %>%
        fmt_number(columns = AVG:SLG,decimals = 3) %>%
        fmt_percent(columns = ends_with("%")) %>%
        sub_missing() %>%
        #gt_theme_savant() %>% 
        opt_interactive(
          use_compact_mode = TRUE,
          use_pagination = FALSE
        )
      
    })
    output$slashline <- render_gt({
      test <- test %>%  filter(Pitcher == input$player) %>%
        summarise(
          Pitches = n(),
          `1B` = sum(Single,na.rm = TRUE),
          `2B` = sum(Double,na.rm = TRUE),
          `3B` = sum(Triple,na.rm = TRUE),
          HR = sum(HR,na.rm = TRUE),
          SO = sum(Strikeout,na.rm = TRUE),
          BB = sum(Walk,na.rm = TRUE),
          Whiffs = sum(Whiff,na.rm = TRUE),
          `Hard Hits` = sum(HardHit,na.rm = TRUE)
        )%>%
        ungroup()%>% 
        gt() %>% 
        gt_theme_tim() %>%
        cols_align(align = "center") %>%
        # gt_theme_savant() %>% 
        opt_interactive(
          use_compact_mode = TRUE,
          use_pagination = FALSE
        )
    })
}

# Run the application 
shinyApp(ui = ui, server = server)