enhance connector helper notebook to support 2.9

docs/tutorials/aws/AIConnectorHelper.ipynb

@@ -15,7 +15,7 @@
     "from requests_aws4auth import AWS4Auth\n",
     "import time\n",
     "\n",
-    "# This python code works for AWS OpenSearch 2.11\n",
+    "# This Python code is compatible with AWS OpenSearch versions 2.9 and higher.\n",
     "class AIConnectorHelper:\n",
     "    \n",
     "    def __init__(self, region, opensearch_domain_name, opensearch_domain_username, opensearch_domain_password, aws_user_name):\n",
@@ -265,24 +265,70 @@
     "        connector_id = json.loads(r.text)['connector_id']\n",
     "        return connector_id\n",
     "    \n",
+    "    def search_model_group(self, model_group_name):\n",
+    "        payload = {\n",
+    "          \"query\": {\n",
+    "            \"term\": {\n",
+    "              \"name.keyword\": {\n",
+    "                \"value\": model_group_name\n",
+    "              }\n",
+    "            }\n",
+    "          }\n",
+    "        }\n",
+    "        headers = {\"Content-Type\": \"application/json\"}\n",
+    "        r = requests.post(f'{self.opensearch_domain_url}/_plugins/_ml/model_groups/_search',\n",
+    "                          auth=HTTPBasicAuth(self.opensearch_domain_username, self.opensearch_domain_opensearch_domain_password),\n",
+    "                          json=payload,\n",
+    "                          headers=headers)\n",
+    "        #print(r.text)\n",
+    "        response = json.loads(r.text)\n",
+    "        return response\n",
+    "    \n",
+    "    def create_model_group(self, model_group_name, description):\n",
+    "        search_model_group_response = self.search_model_group(model_group_name)\n",
+    "        if search_model_group_response['hits']['total']['value'] > 0:\n",
+    "            return search_model_group_response['hits']['hits'][0]['_id']\n",
+    "        payload = {\n",
+    "          \"name\": model_group_name,\n",
+    "          \"description\": description\n",
+    "        }\n",
+    "        headers = {\"Content-Type\": \"application/json\"}\n",
+    "        r = requests.post(f'{self.opensearch_domain_url}/_plugins/_ml/model_groups/_register',\n",
+    "                          auth=HTTPBasicAuth(self.opensearch_domain_username, self.opensearch_domain_opensearch_domain_password),\n",
+    "                          json=payload,\n",
+    "                          headers=headers)\n",
+    "        print(r.text)\n",
+    "        response = json.loads(r.text)\n",
+    "        return response['model_group_id']\n",
+    "    \n",
+    "    def get_task(self, task_id):\n",
+    "        return requests.get(f'{self.opensearch_domain_url}/_plugins/_ml/tasks/{task_id}',\n",
+    "                          auth=HTTPBasicAuth(self.opensearch_domain_username, self.opensearch_domain_opensearch_domain_password))\n",
+    "    \n",
     "    def create_model(self, model_name, description, connector_id, deploy=True):\n",
+    "        model_group_id = self.create_model_group(model_name, description)\n",
     "        payload = {\n",
     "          \"name\": model_name,\n",
     "          \"function_name\": \"remote\",\n",
     "          \"description\": description,\n",
+    "          \"model_group_id\": model_group_id,\n",
     "          \"connector_id\": connector_id\n",
     "        }\n",
-    "\n",
     "        headers = {\"Content-Type\": \"application/json\"}\n",
-    "\n",
     "        deploy_str = str(deploy).lower()\n",
     "        r = requests.post(f'{self.opensearch_domain_url}/_plugins/_ml/models/_register?deploy={deploy_str}',\n",
     "                          auth=HTTPBasicAuth(self.opensearch_domain_username, self.opensearch_domain_opensearch_domain_password),\n",
     "                          json=payload,\n",
     "                          headers=headers)\n",
     "        print(r.text)\n",
-    "        model_id = json.loads(r.text)['model_id']\n",
-    "        return model_id\n",
+    "        response = json.loads(r.text)\n",
+    "        if 'model_id' in response:\n",
+    "            return response['model_id']\n",
+    "        else:\n",
+    "            time.sleep(2) # sleep two seconds for task complete\n",
+    "            r = self.get_task(response['task_id'])\n",
+    "            print(r.text)\n",
+    "            return json.loads(r.text)['model_id']\n",
     "    \n",
     "    def deploy_model(self, model_id):\n",
     "        return requests.post(f'{self.opensearch_domain_url}/_plugins/_ml/models/{model_id}/_deploy',\n",