From 3d85ac0a175449c681db86cdf5a15b2ef4ac32f9 Mon Sep 17 00:00:00 2001
From: dylanbenzi <dylanbenzi@gmail.com>
Date: Mon, 7 Jul 2025 13:39:01 -0400
Subject: [PATCH] modify to use views

---
 queries.R | 60 ++++---------------------------------------------------
 1 file changed, 4 insertions(+), 56 deletions(-)

diff --git a/queries.R b/queries.R
index 45fb2da..4bb503c 100644
--- a/queries.R
+++ b/queries.R
@@ -66,70 +66,18 @@ split_full_lf_id <- function(full_lf_id) {
 
 # returns a list of loss storms we have data on
 get_all_loss_storms <- function() {
-  query <- econ.storm_base_loss %>% 
-    select(
-      storm_basin, storm_year, storm_name
-    ) %>% 
-    distinct(
-      storm_basin, storm_year, storm_name
-    ) %>% 
-    left_join(
-      hurdat.hurdat_storms %>%
-        mutate(hurdatId = paste0(storm_basin, storm_number, storm_year)), 
-      by = c("storm_basin", "storm_year", "storm_name")) %>% 
-    select(
-      hurdatId, storm_basin, storm_name, storm_year
-    ) 
+  query <- "SELECT * FROM all_loss_storms"
   
-  result <- query %>% collect()
+  result <- dbGetQuery(con, query)
   
   return(result)
 }
 
 # returns a list of latest normalized losses
 get_latest_aggregate_losses <- function() {
-  latest_loss_year <- econ.normalized_landfalls %>% 
-    select(normalization_year) %>% 
-    arrange(desc(normalization_year)) %>% 
-    head(1) %>% 
-    collect() %>% 
-    pull(normalization_year)
+  query <- "SELECT * FROM all_normalized_losses"
   
-  query <- econ.normalized_landfalls %>% 
-    filter(normalization_year == latest_loss_year) %>% 
-    left_join(econ.storm_base_loss %>% 
-                filter(!is.na(base_loss)) %>% 
-                mutate(
-                  ncei_priority = case_when(
-                    str_like(base_loss_source, "%ncei%") ~ 1,
-                    str_like(base_loss_source, "%mwr%") ~ 2,
-                    TRUE ~ 3
-                  )
-                ) %>% 
-                group_by(storm_basin, storm_year, storm_name, lf_type, lf_id) %>% 
-                slice_min(ncei_priority, n = 1, with_ties = F) %>% 
-                ungroup(),
-              by = c("storm_basin", "storm_year", "storm_name", "lf_type", "lf_id")) %>% 
-    mutate(
-      mmh_lf = (base_loss * gdp_deflator * rwhu * affected_housing),
-      mmp_lf = (base_loss * gdp_deflator * rwpc * affected_population)
-    ) %>% 
-    group_by(storm_basin, storm_year, storm_name) %>% 
-    summarize(
-      mmh = sum(mmh_lf, na.rm = T),
-      mmp = sum(mmp_lf, na.rm = T),
-      .groups = "drop"
-    ) %>% 
-    filter(!is.na(mmh) & !is.na(mmp)) %>% 
-    left_join(hurdat.hurdat_storms, by = c("storm_basin", "storm_year", "storm_name")) %>% 
-    mutate(
-      hurdatId = paste0(storm_basin, storm_number, storm_year)
-    ) %>% 
-    select(
-      hurdatId, storm_name, storm_year, mmh, mmp 
-    )
-  
-  result <- query %>% collect()
+  result <- dbGetQuery(con, query)
   
   return(result)
 }