From ddf3f196e3a4c1c976eac0fec9f02cac05a585ea Mon Sep 17 00:00:00 2001
From: dylanbenzi <dylanbenzi@gmail.com>
Date: Sat, 2 Aug 2025 18:40:23 -0400
Subject: [PATCH] add storm selector logic to calc

---
 dashboard.Rmd | 30 ++++++++++++++++++++++++++++--
 queries.R     | 23 +++++++++++++++++++++++
 2 files changed, 51 insertions(+), 2 deletions(-)

diff --git a/dashboard.Rmd b/dashboard.Rmd
index 2cc3159..67f3e96 100644
--- a/dashboard.Rmd
+++ b/dashboard.Rmd
@@ -81,6 +81,8 @@ latest_normalized_losses <- get_latest_aggregate_losses()
 
 all_conus_landfalls <- get_all_conus_landfalls()
 
+all_lf_type_storms <- get_all_lf_type_landfalls()
+
 storm_selection <- reactiveValues(
   storm_year = NULL,
   storm_name = NULL,
@@ -1065,6 +1067,30 @@ Column {data-width=300}
 ```{r}
 # Calculator - Input
 # TODO: add data population and compute
+#observeEvent(input$stormYear, {
+#  stormsByChosenYear <- loss_storms[loss_storms$storm_year == input$stormYear, ]
+#
+#  stormsByYear <- loss_storms %>% filter(storm_year == input$stormYear)
+#
+#  updateSelectInput(
+#    session,
+#    "stormName",
+#    choices = stormsByYear$storm_name,
+#    selected = NULL
+#  )
+#})
+observeEvent(input$impact_storm_year, {
+  stormsByChosenYear <- all_lf_type_storms[all_lf_type_storms$storm_year == input$impact_storm_year, ]
+
+  stormsByYear <- all_lf_type_storms %>% filter(storm_year == input$impact_storm_year)
+
+  updateSelectInput(
+    session,
+    "impact_storm_name",
+    choices = stormsByYear$storm_name,
+    selected = NULL
+  )
+})
 
 div(
   h6("Storm Selector"),
@@ -1077,13 +1103,13 @@ div(
   selectInput(
     "impact_storm_year",
     label = NULL,
-    choices = 1926,
+    choices = all_lf_type_storms$storm_year,
     width = "100%"
   ),
   selectInput(
     "impact_storm_name",
     label = NULL,
-    choices = "GREAT MIAMI",
+    choices = NULL,
     width = "100%"
   ),
 
diff --git a/queries.R b/queries.R
index 9d255c7..f81e4d9 100644
--- a/queries.R
+++ b/queries.R
@@ -55,6 +55,11 @@ view.yearly_normalized_losses <- tbl(con, "yearly_normalized_losses")
 view.simplified_county_geom <- tbl(con, "simplified_county_geom")
 view.all_loss_storms_tracks <- tbl(con, "all_loss_storms_tracks")
 view.all_conus_landfalls <- tbl(con, "all_conus_landfalls")
+<<<<<<< Updated upstream
+=======
+view.hurdat_ids <- tbl(con, "hurdat_ids")
+view.all_lf_type_landfalls <- tbl(con, "all_lf_type_landfalls")
+>>>>>>> Stashed changes
 
 #qry <- econ.storm_base_loss %>%
 #  left_join(view.hurdat_track, by = c("storm_basin", "storm_year", "storm_name"))
@@ -110,6 +115,15 @@ get_all_loss_storms <- function() {
   return(result)
 }
 
+# returns a list of all stored hurdat ids
+get_all_hurdat_ids <- function() {
+  query <- view.hurdat_ids
+
+  result <- query %>% collect()
+
+  return(result)
+}
+
 # returns a list of latest normalized losses
 get_latest_aggregate_losses <- function() {
   query <- view.all_normalized_losses
@@ -435,3 +449,12 @@ get_normalized_metric_growth <- function(storm, full_lf_id) {
 
   return(result)
 }
+
+# returns all lf type landfalls
+get_all_lf_type_landfalls <- function() {
+  query <- view.all_lf_type_landfalls
+
+  result <- query %>% collect()
+
+  return(result)
+}