test messaging about missing extensions

.github/workflows/GH-R-CMD-check.yaml

@@ -79,6 +79,9 @@ jobs:
           try(pak::pkg_install("tidymodels/tune"))
           try(pak::pkg_install("tidymodels/workflows"))
           try(pak::pkg_install("tidymodels/yardstick"))
+          try(pak::pkg_install("tidymodels/bonsai"))
+          try(pak::pkg_install("tidymodels/censored"))
+          try(pak::pkg_install("business-science/modeltime"))
         shell: Rscript {0}
 
       - uses: r-lib/actions/check-r-package@v2

DESCRIPTION

@@ -12,6 +12,7 @@ Depends:
     tidymodels
 Suggests: 
     baguette,
+    bonsai,
     butcher,
     C50,
     censored,
@@ -30,6 +31,7 @@ Suggests:
     mda,
     mixOmics,
     modeldata,
+    modeltime,
     multilevelmod,
     parallel,
     parsnip,
@@ -68,3 +70,4 @@ Language: en-US
 LazyData: true
 Roxygen: list(markdown = TRUE)
 RoxygenNote: 7.1.1.9001
+Config/testthat/start-first: parsnip-extension-messaging

tests/testthat/_snaps/parsnip-extension-messaging.md

@@ -0,0 +1,304 @@
+# messaging with unknown implementation (bag tree, tidymodels/parsnip#793)
+
+    Code
+      bag_tree() %>% set_engine("rpart") %>% set_mode("regression")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `bag_tree` regression model specifications using the `rpart` engine.
+      i The parsnip extension package baguette implements support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Bagged Decision Tree Model Specification (regression)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree() %>% set_mode("censored regression")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `bag_tree` censored regression model specifications.
+      i The parsnip extension package censored implements support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Bagged Decision Tree Model Specification (censored regression)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree()
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `bag_tree` model specifications.
+      i The parsnip extension packages censored and baguette implement support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Bagged Decision Tree Model Specification (unknown mode)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree() %>% set_engine("rpart")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `bag_tree` model specifications using the `rpart` engine.
+      i The parsnip extension packages censored and baguette implement support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Bagged Decision Tree Model Specification (unknown mode)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree() %>% set_mode("censored regression") %>% set_engine("rpart")
+    Output
+      Bagged Decision Tree Model Specification (censored regression)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree() %>% set_engine("rpart")
+    Output
+      Bagged Decision Tree Model Specification (unknown mode)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree() %>% set_mode("regression") %>% set_engine("rpart")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `bag_tree` regression model specifications using the `rpart` engine.
+      i The parsnip extension package baguette implements support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Bagged Decision Tree Model Specification (regression)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bag_tree() %>% set_mode("classification") %>% set_engine("C5.0")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `bag_tree` classification model specifications using the `C5.0` engine.
+      i The parsnip extension package baguette implements support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Bagged Decision Tree Model Specification (classification)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: C5.0 
+
+
+---
+
+    Code
+      bag_tree() %>% set_engine("C5.0")
+    Output
+      Bagged Decision Tree Model Specification (unknown mode)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: C5.0 
+
+
+# messaging with unknown implementation (decision tree, tidymodels/parsnip#793)
+
+    Code
+      decision_tree()
+    Output
+      Decision Tree Model Specification (unknown mode)
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      decision_tree() %>% set_mode("censored regression")
+    Output
+      Decision Tree Model Specification (censored regression)
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      decision_tree() %>% set_engine("partykit")
+    Output
+      Decision Tree Model Specification (unknown mode)
+
+      Computational engine: partykit 
+
+
+---
+
+    Code
+      decision_tree() %>% set_engine("partykit") %>% set_mode("regression")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `decision_tree` regression model specifications using the `partykit` engine.
+      i The parsnip extension package bonsai implements support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Decision Tree Model Specification (regression)
+
+      Computational engine: partykit 
+
+
+---
+
+    Code
+      decision_tree() %>% set_mode("censored regression") %>% set_engine("rpart")
+    Output
+      Decision Tree Model Specification (censored regression)
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      decision_tree() %>% set_engine("partykit")
+    Output
+      Decision Tree Model Specification (unknown mode)
+
+      Computational engine: partykit 
+
+
+---
+
+    Code
+      decision_tree() %>% set_mode("regression") %>% set_engine("partykit")
+    Message <rlang_message>
+      ! parsnip could not locate an implementation for `decision_tree` regression model specifications using the `partykit` engine.
+      i The parsnip extension package bonsai implements support for this specification.
+      i Please install (if needed) and load to continue.
+    Output
+      Decision Tree Model Specification (regression)
+
+      Computational engine: partykit 
+
+
+---
+
+    Code
+      decision_tree() %>% set_mode("regression") %>% set_engine("partykit")
+    Output
+      Decision Tree Model Specification (regression)
+
+      Computational engine: partykit 
+
+
+# missing implementation checks prompt conservatively with old objects (bag_tree)
+
+    Code
+      bt
+    Output
+      Bagged Decision Tree Model Specification (regression)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      bt
+    Output
+      Bagged Decision Tree Model Specification (regression)
+
+      Main Arguments:
+        cost_complexity = 0
+        min_n = 2
+
+      Computational engine: rpart 
+
+
+# missing implementation checks prompt conservatively with old objects (decision_tree)
+
+    Code
+      dt
+    Output
+      Decision Tree Model Specification (unknown mode)
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      dt_censored
+    Output
+      Decision Tree Model Specification (censored regression)
+
+      Computational engine: rpart 
+
+
+---
+
+    Code
+      dt_censored
+    Output
+      Decision Tree Model Specification (censored regression)
+
+      Computational engine: rpart 
+
+
+# missing implementation checks prompt conservatively with external objects (arima_boost)
+
+    Code
+      ab
+    Output
+      Time Series Model w/ XGBoost Error Specification (regression)
+
+