[skip vbump] [skip actions] Hot fix - upversion v0.4.1

DESCRIPTION

@@ -1,8 +1,8 @@
 Type: Package
 Package: teal.modules.general
 Title: General Modules for 'teal' Applications
-Version: 0.4.0.9001
-Date: 2025-03-11
+Version: 0.4.1.9000
+Date: 2025-04-01
 Authors@R: c(
     person("Dawid", "Kaledkowski", , "[email protected]", role = c("aut", "cre")),
     person("Pawel", "Rucki", , "[email protected]", role = "aut"),

NEWS.md

@@ -1,4 +1,9 @@
-# teal.modules.general 0.4.0.9001
+# teal.modules.general 0.4.1.9000
+
+# teal.modules.general 0.4.1
+
+### Bug fixes
+* Fixes output is not updated when filter is added for the modules:  `tm_a_pca`, `tm_a_regression`, `tm_g_scatterplot`, `tm_g_association`, `tm_g_bivariate`, `tm_g_distribution`, `tm_g_response`, `tm_t_crosstable` (#870)
 
 # teal.modules.general 0.4.0
 

R/tm_a_pca.R

@@ -436,10 +436,12 @@ srv_a_pca <- function(id, data, reporter, filter_panel_api, dat, plot_height, pl
       selector_list = selector_list,
       datasets = data
     )
-    qenv <- teal.code::eval_code(data(), 'library("ggplot2");library("dplyr");library("tidyr")') # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr");library("tidyr")') # nolint quotes
+    )
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 

R/tm_a_regression.R

@@ -462,14 +462,13 @@ srv_a_regression <- function(id,
       )
     })
 
-    qenv <- teal.code::eval_code(
-      data(),
-      'library("ggplot2");library("dplyr")' # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint quotes
     )
 
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 

R/tm_g_association.R

@@ -346,13 +346,12 @@ srv_tm_g_association <- function(id,
       selector_list = selector_list
     )
 
-    qenv <- teal.code::eval_code(
-      data(),
-      'library("ggplot2");library("dplyr");library("tern");library("ggmosaic")' # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr");library("tern");library("ggmosaic")') # nolint quotes
     )
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>% teal.code::eval_code(as.expression(anl_merged_input()$expr))
+      qenv() %>% teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 
     merged <- list(

R/tm_g_bivariate.R

@@ -559,14 +559,13 @@ srv_g_bivariate <- function(id,
       selector_list = selector_list,
       datasets = data
     )
-    qenv <- teal.code::eval_code(
-      data(),
-      'library("ggplot2");library("dplyr");library("teal.modules.general")' # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr");library("teal.modules.general")') # nolint quotes
     )
 
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 

R/tm_g_distribution.R

@@ -541,14 +541,13 @@ srv_distribution <- function(id,
       datasets = data
     )
 
-    qenv <- teal.code::eval_code(
-      data(),
-      'library("ggplot2");library("dplyr")' # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint quotes
     )
 
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 

R/tm_g_response.R

@@ -394,14 +394,13 @@ srv_g_response <- function(id,
       datasets = data
     )
 
-    qenv <- teal.code::eval_code(
-      data(),
-      'library("ggplot2");library("dplyr")' # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint quotes
     )
 
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })
 

R/tm_g_scatterplot.R

@@ -590,11 +590,13 @@ srv_g_scatterplot <- function(id,
       datasets = data,
       merge_function = "dplyr::inner_join"
     )
-    qenv <- teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("ggplot2");library("dplyr")') # nolint quotes
+    )
 
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr)) %>%
         teal.code::eval_code(quote(ANL)) # used to display table when running show-r-code code
     })

R/tm_t_crosstable.R

@@ -315,10 +315,12 @@ srv_t_crosstable <- function(id, data, reporter, filter_panel_api, label, x, y,
       selector_list = selector_list,
       merge_function = merge_function
     )
-    qenv <- teal.code::eval_code(data(), 'library("rtables");library("tern");library("dplyr")') # nolint quotes
+    qenv <- reactive(
+      teal.code::eval_code(data(), 'library("rtables");library("tern");library("dplyr")') # nolint quotes
+    )
     anl_merged_q <- reactive({
       req(anl_merged_input())
-      qenv %>%
+      qenv() %>%
         teal.code::eval_code(as.expression(anl_merged_input()$expr))
     })