update doc and tests

Author: Laure-di

docs/data-sources/inference_model.md

@@ -0,0 +1,47 @@
+---
+subcategory: "inference"
+page_title: "Scaleway: scaleway_inference_model"
+---
+
+# scaleway_inference_model
+
+The `scaleway_inference_model` data source allows you to retrieve information about an inference model available in the Scaleway Inference API, either by providing the model's `name` or its `model_id`.
+
+## Example Usage
+
+### Basic
+
+```hcl
+data "scaleway_inference_model" "my_model" {
+  name = "meta/llama-3.1-8b-instruct:fp8"
+}
+```
+
+## Argument Reference
+
+You must provide either name or model_id, but not both.
+
+- `name` (Optional, Conflicts with model_id) The fully qualified name of the model to look up (e.g., "meta/llama-3.1-8b-instruct:fp8"). The provider will search for a model with an exact name match in the selected region and project.
+- `model_id` (Optional, Conflicts with name) The ID of the model to retrieve. Must be a valid UUID with locality (i.e., Scaleway's zoned UUID format).
+- `project_id` (Optional) The project ID to use when listing models. If not provided, the provider default project is used.
+- `region` (Optional) The region where the model is hosted. If not set, the provider default region is used.
+
+## Attributes Reference
+
+In addition to the input arguments above, the following attributes are exported:
+
+- `id` - The unique identifier of the model.
+- `tags` - Tags associated with the model.
+- `status` - The current status of the model (e.g., ready, error, etc.).
+- `description` - A textual description of the model (if available).
+- `has_eula` - Whether the model requires end-user license agreement acceptance before use.
+- `parameter_size_bits` - Size, in bits, of the model parameters.
+- `size_bytes` - Total size, in bytes, of the model archive.
+- `nodes_support` - List of supported node types and their quantization options. Each entry contains:
+  - `node_type_name` - The type of node supported.
+  - `quantization` - A list of supported quantization options, including:
+  - `quantization_bits` -  Number of bits used for quantization (e.g., 8, 16).
+  - `allowed` - Whether this quantization is allowed.
+  - `max_context_size` - Maximum context length supported by this quantization.
+
+    

docs/resources/inference_deployment.md

@@ -13,10 +13,14 @@ For more information, see the [API documentation](https://www.scaleway.com/en/de
 ### Basic
 
 ```terraform
+data "scaleway_inference_model" "my_model" {
+  name = "meta/llama-3.1-8b-instruct:fp8"
+}
+
 resource "scaleway_inference_deployment" "deployment" {
   name = "tf-inference-deployment"
   node_type = "L4"
-  model_id = "d33fb5fd-75ca-4dfb-8952-8af8b8b28be5"
+  model_id = data.scaleway_inference_model.my_model.id
   public_endpoint {
     is_enabled = true
   }

docs/resources/inference_model.md

@@ -53,7 +53,7 @@ resource "scaleway_inference_deployment" "my_deployment" {
 
 In addition to all arguments above, the following attributes are exported:
 
-- `id` - The unique identifier of the custom model.
+- `id` - The unique identifier of the model.
 - `tags` - Tags associated with the model.
 - `status` - The current status of the model (e.g., ready, error, etc.).
 - `description` - A textual description of the model (if available).

internal/services/inference/model_data_source_test.go

@@ -4,6 +4,7 @@ import (
 	"fmt"
 	"github.com/hashicorp/terraform-plugin-sdk/v2/helper/resource"
 	"github.com/scaleway/terraform-provider-scaleway/v2/internal/acctest"
+	inferencetestfuncs "github.com/scaleway/terraform-provider-scaleway/v2/internal/services/inference/testfuncs"
 	"testing"
 )
 
@@ -31,3 +32,46 @@ func TestAccDataSourceModel_Basic(t *testing.T) {
 		},
 	})
 }
+
+func TestAccDataSourceModel_Custom(t *testing.T) {
+	tt := acctest.NewTestTools(t)
+	defer tt.Cleanup()
+
+	modelName := "TestAccDataSourceModel_Custom"
+
+	resource.ParallelTest(t, resource.TestCase{
+		PreCheck:          func() { acctest.PreCheck(t) },
+		ProviderFactories: tt.ProviderFactories,
+		CheckDestroy:      inferencetestfuncs.IsModelDestroyed(tt),
+		Steps: []resource.TestStep{
+			{
+				Config: fmt.Sprintf(`
+					resource "scaleway_inference_model" "test" {
+						name = "%s"
+						url = "%s"
+					}
+				
+				`, modelName, modelURLCompatible),
+				Check: resource.ComposeTestCheckFunc(
+					testAccCheckModelExists(tt, "scaleway_inference_model.test"),
+					resource.TestCheckResourceAttr("scaleway_inference_model.test", "name", modelName),
+				),
+			},
+			{
+				Config: fmt.Sprintf(`
+					resource "scaleway_inference_model" "test" {
+						name = "%s"
+						url = "%s"
+					}
+				
+					data "scaleway_inference_model" "my-model" {
+						name = "%s"
+					}`, modelName, modelURLCompatible, modelName),
+				Check: resource.ComposeTestCheckFunc(
+					testAccCheckModelExists(tt, "data.scaleway_inference_model.my-model"),
+					resource.TestCheckResourceAttr("data.scaleway_inference_model.my-model", "name", modelName),
+				),
+			},
+		},
+	})
+}