Update app.R

app.R

@@ -32,6 +32,7 @@ download_private_csv <- function(repo_id, filename) {
 MLB <- download_private_csv("TimStats/StatcastDataAll", "MLB.csv")
 AAA <- download_private_csv("TimStats/StatcastDataAll", "AAA.csv")
 FSL <- download_private_csv("TimStats/StatcastDataAll", "FSL.csv")
+ST <- download_private_csv("TimStats/StatcastDataAll", "SpringT25.csv")
 
 is_barrel <- function(df) {
   df$hit_speedr <- round(df$hit_speed)
@@ -309,6 +310,26 @@ FSL_processed <- FSL %>%
   mutate('Batter Home/Away' = ifelse(`Batter Team` == teams_home_team_name,"Home","Away")) %>%
   mutate('Pitcher Home/Away' = ifelse(`Pitcher Team` == teams_home_team_name,"Home","Away"))
 
+ST_processed <- ST %>%
+  calculate_timstuff() %>%
+  addChecks()%>%
+  VAA()%>%
+  mutate('Pitch Name' = pitch_name) %>%
+  mutate('Season' = season) %>%
+  mutate('Level' = "Spring Training") %>%
+  mutate('Pitch Type' = case_when(
+    pitch_name %in% c("Four-Seam Fastball", "Sinker", "Cutter", "Fastball") ~ "Fastball",
+    pitch_name %in% c("Slider", "Sweeper", "Slurve", "Curveball", "Screwball",
+                      "Knuckle Curve", "Slow Curve", "Eephus") ~ "Breaking",
+    pitch_name %in% c("Changeup", "Splitter", "Forkball") ~ "Offspeed",
+    TRUE ~ NA_character_  # Corrected default case
+  ))%>%
+  mutate('Batter Side' = bside) %>%
+  mutate('Pitcher Hand' = phand) %>%
+  mutate('Stadium' = venue_name) %>%
+  mutate('Batter Home/Away' = ifelse(`Batter Team` == teams_home_team_name,"Home","Away")) %>%
+  mutate('Pitcher Home/Away' = ifelse(`Pitcher Team` == teams_home_team_name,"Home","Away"))
+
 # Available stats for the UI
 available_stats <- c("Pitches", "Avg Velo", "Top Velo", "TimStuff", "Max EV", "Avg EV", 
                      "EV90", "Avg LA", "stdevLA", "HardHit%", "Barrel%", "SwSpt%",
@@ -398,7 +419,8 @@ server <- function(input, output, session) {
     combined_data <- bind_rows(
       if ("MLB" %in% input$level) MLB_processed,
       if ("AAA" %in% input$level) AAA_processed,
-      if ("FSL" %in% input$level) FSL_processed
+      if ("FSL" %in% input$level) FSL_processed,
+      if ("Spring Training" %in% input$level) ST_processed
     ) %>%
     filter(between(as.Date(date), input$date_range[1], input$date_range[2]))
     # First group and calculate all stats