Added support for Jupyter (.ipynb) files in databricks_notebook resource

docs/resources/notebook.md

@@ -7,7 +7,7 @@ This resource allows you to manage [Databricks Notebooks](https://docs.databrick
 
 ## Example Usage
 
-You can declare Terraform-managed notebook by specifying `source` attribute of corresponding local file. Only `.scala`, `.py`, `.sql` and `.r` extensions are supported, if you would like to omit the `language` attribute.
+You can declare Terraform-managed notebook by specifying `source` attribute of corresponding local file. Only `.scala`, `.py`, `.sql`, `.r`, and `.ipynb` extensions are supported, if you would like to omit the `language` attribute.
 
 ```hcl
 data "databricks_current_user" "me" {
@@ -48,7 +48,7 @@ resource "databricks_notebook" "lesson" {
 
 The size of a notebook source code must not exceed a few megabytes. The following arguments are supported:
 
-* `path` -  (Required) The absolute path of the notebook or directory, beginning with "/", e.g. "/Demo". 
+* `path` -  (Required) The absolute path of the notebook or directory, beginning with "/", e.g. "/Demo".
 * `source` - Path to notebook in source code format on local filesystem. Conflicts with `content_base64`.
 * `content_base64` - The base64-encoded notebook source code. Conflicts with `source`. Use of `content_base64` is discouraged, as it's increasing memory footprint of Terraform state and should only be used in exceptional circumstances, like creating a notebook with configuration properties for a data pipeline.
 * `language` -  (required with `content_base64`) One of `SCALA`, `PYTHON`, `SQL`, `R`.
@@ -83,7 +83,7 @@ The following resources are often used in the same context:
 * [databricks_job](job.md) to manage [Databricks Jobs](https://docs.databricks.com/jobs.html) to run non-interactive code in a [databricks_cluster](cluster.md).
 * [databricks_notebook](../data-sources/notebook.md) data to export a notebook from Databricks Workspace.
 * [databricks_notebook_paths](../data-sources/notebook_paths.md) data to list notebooks in Databricks Workspace.
-* [databricks_pipeline](pipeline.md) to deploy [Delta Live Tables](https://docs.databricks.com/data-engineering/delta-live-tables/index.html). 
+* [databricks_pipeline](pipeline.md) to deploy [Delta Live Tables](https://docs.databricks.com/data-engineering/delta-live-tables/index.html).
 * [databricks_repo](repo.md) to manage [Databricks Repos](https://docs.databricks.com/repos.html).
 * [databricks_secret](secret.md) to manage [secrets](https://docs.databricks.com/security/secrets/index.html#secrets-user-guide) in Databricks workspace.
 * [databricks_secret_acl](secret_acl.md) to manage access to [secrets](https://docs.databricks.com/security/secrets/index.html#secrets-user-guide) in Databricks workspace.

workspace/resource_notebook.go

@@ -21,6 +21,7 @@ const (
 	Python    string = "PYTHON"
 	SQL       string = "SQL"
 	R         string = "R"
+	Jupyter   string = "JUPYTER"
 )
 
 type notebookLanguageFormat struct {
@@ -34,6 +35,7 @@ var extMap = map[string]notebookLanguageFormat{
 	".py":    {"PYTHON", "SOURCE", true},
 	".sql":   {"SQL", "SOURCE", true},
 	".r":     {"R", "SOURCE", true},
+	".ipynb": {"", "JUPYTER", true},
 	".dbc":   {"", "DBC", false},
 }
 
@@ -209,6 +211,7 @@ func ResourceNotebook() *schema.Resource {
 			ValidateFunc: validation.StringInSlice([]string{
 				"SOURCE",
 				"DBC",
+				"JUPYTER",
 			}, false),
 		},
 		"url": {

workspace/resource_notebook_test.go

@@ -150,6 +150,60 @@ func TestResourceNotebookCreate(t *testing.T) {
 	assert.Equal(t, "/foo/path.py", d.Id())
 }
 
+func TestResourceNotebookCreateSource_Jupyter(t *testing.T) {
+	d, err := qa.ResourceFixture{
+		Fixtures: []qa.HTTPFixture{
+			{
+				Method:   http.MethodPost,
+				Resource: "/api/2.0/workspace/import",
+				ExpectedRequest: ImportPath{
+					Content: "eyJjZWxscyI6W3siY2VsbF90eXBlIjoiY29kZSIsInNvdXJjZSI6WyJwc" +
+						"mludChcImhlbGxvIHdvcmxkXCIpIl0sIm1ldGFkYXRhIjp7fSwib3V0cHV" +
+						"0cyI6W10sImV4ZWN1dGlvbl9jb3VudCI6MX0seyJjZWxsX3R5cGUiOiJjb" +
+						"2RlIiwic291cmNlIjpbInByaW50KFwiaG93IGFyZSB5b3VcIikiXSwibWV" +
+						"0YWRhdGEiOnt9LCJvdXRwdXRzIjpbeyJtZXRhZGF0YSI6e30sIm91dHB1d" +
+						"F90eXBlIjoiZGlzcGxheV9kYXRhIiwiZGF0YSI6eyJ0ZXh0L2h0bWwiOls" +
+						"iPHN0eWxlIHNjb3BlZD5cbiAgLmFuc2lvdXQge1xuICAgIGRpc3BsYXk6I" +
+						"GJsb2NrO1xuICAgIHVuaWNvZGUtYmlkaTogZW1iZWQ7XG4gICAgd2hpdGU" +
+						"tc3BhY2U6IHByZS13cmFwO1xuICAgIHdvcmQtd3JhcDogYnJlYWstd29yZ" +
+						"DtcbiAgICB3b3JkLWJyZWFrOiBicmVhay1hbGw7XG4gICAgZm9udC1mYW1" +
+						"pbHk6IFwiU291cmNlIENvZGUgUHJvXCIsIFwiTWVubG9cIiwgbW9ub3NwY" +
+						"WNlOztcbiAgICBmb250LXNpemU6IDEzcHg7XG4gICAgY29sb3I6ICM1NTU" +
+						"7XG4gICAgbWFyZ2luLWxlZnQ6IDRweDtcbiAgICBsaW5lLWhlaWdodDogM" +
+						"TlweDtcbiAgfVxuPC9zdHlsZT5cbjxkaXYgY2xhc3M9XCJhbnNpb3V0XCI" +
+						"+aG93IGFyZSB5b3VcbjwvZGl2PiJdfX1dLCJleGVjdXRpb25fY291bnQiO" +
+						"jJ9LHsiY2VsbF90eXBlIjoiY29kZSIsInNvdXJjZSI6WyIiXSwibWV0YWR" +
+						"hdGEiOnt9LCJvdXRwdXRzIjpbXSwiZXhlY3V0aW9uX2NvdW50IjozfV0sI" +
+						"m1ldGFkYXRhIjp7Im5hbWUiOiJ0ZXN0X2p1cHl0ZXIiLCJub3RlYm9va0l" +
+						"kIjoxMjc1OTg0MjQzMjkzMDI4fSwibmJmb3JtYXQiOjQsIm5iZm9ybWF0X" +
+						"21pbm9yIjowfQo=",
+					Path:      "/Mars",
+					Language:  "",
+					Overwrite: true,
+					Format:    "JUPYTER",
+				},
+			},
+			{
+				Method:   http.MethodGet,
+				Resource: "/api/2.0/workspace/get-status?path=%2FMars",
+				Response: ObjectStatus{
+					ObjectID:   4567,
+					ObjectType: "NOTEBOOK",
+					Path:       "/Mars",
+				},
+			},
+		},
+		Resource: ResourceNotebook(),
+		State: map[string]any{
+			"source": "acceptance/testdata/tf-test-jupyter.ipynb",
+			"path":   "/Mars",
+		},
+		Create: true,
+	}.Apply(t)
+	assert.NoError(t, err, err)
+	assert.Equal(t, "/Mars", d.Id())
+}
+
 func TestResourceNotebookCreateSource(t *testing.T) {
 	d, err := qa.ResourceFixture{
 		Fixtures: []qa.HTTPFixture{