feat: add get model instance metrics endpoint

Author: writeens

specs/predict/paths/models/getModelMetrics.yml

@@ -0,0 +1,26 @@
+get:
+  tags:
+    - models
+  operationId: getModelMetrics
+  summary: Get a model’s instance metrics.
+  description: Get the model instance’ training metrics.
+  parameters:
+    - $ref: '../../common/parameters.yml#/modelID'
+  responses:
+    '200':
+      description: OK
+      content:
+        application/json:
+          schema:
+            title: getModelMetricsResponse
+            type: array
+            items:
+              $ref: '../../responses/Models.yml#/modelMetrics'
+    '401':
+      $ref: '../../responses/InvalidCredentials.yml'
+    '404':
+      $ref: '../../responses/ModelNotFound.yml'
+    '422':
+      $ref: '../../../common/responses/UnprocessableEntity.yml'
+    '500':
+      $ref: '../../../common/responses/InternalError.yml'

specs/predict/responses/Models.yml

@@ -56,3 +56,25 @@ getModelInstanceConfigStatus:
     `active` - model is running and generating prediction. \
     `invalid` - model has failed training (ex. can’t retrieve data from source). An additional error field will be set for this status. \
     `inactive` - model has been deactivated from the dashboard. Pipelines still exist but they are not currently running.
+
+modelMetrics:
+  type: object
+  additionalProperties: false
+  properties:
+    precision:
+      type: number
+      format: double
+    recall:
+      type: number
+      format: double
+    mrr:
+      type: number
+      format: double
+    coverage:
+      type: number
+      format: double
+    f1_score:
+      type: number
+      format: double
+    updatedAt:
+      type: string

specs/predict/spec.yml

@@ -63,3 +63,6 @@ paths:
 
   /1/predict/models:
     $ref: 'paths/models/models.yml'
+
+  /1/predict/models/{modelID}/metrics:
+    $ref: 'paths/models/getModelMetrics.yml'

tests/CTS/methods/requests/predict/getModelMetrics.json

@@ -0,0 +1,12 @@
+[
+  {
+    "testName": "get metrics for a model instance",
+    "parameters": {
+      "modelID": "model1"
+    },
+    "request": {
+      "path": "/1/predict/models/model1/metrics",
+      "method": "GET"
+    }
+  }
+]