fixing variables in resource creation

Author: dereklegenzoff

AzureML-Custom-Skill/notebook/custom_skill_azureml.ipynb

@@ -205,7 +205,7 @@
     "    'type': 'azureblob',\n",
     "    'subtype': None,\n",
     "    'credentials': {\n",
-    "        'connectionString': f'STORAGECONNSTRING'\n",
+    "        'connectionString': f'{STORAGECONNSTRING}'\n",
     "    },\n",
     "    'container': {\n",
     "        'name': f'{datasource_container}'\n",
@@ -234,7 +234,7 @@
     "skillset_name = f'{datasource_container}-ss'\n",
     "skillset_def = {\n",
     "    '@odata.etag': '\\'0x8D7F6C769AC06B2\\'',\n",
-    "    'name': f'skillset_name',\n",
+    "    'name': f'{skillset_name}',\n",
     "    'description': 'Skillset to enrich hotel reviews with aspect based sentiment',\n",
     "    'skills': [\n",
     "        {\n",
@@ -482,16 +482,16 @@
     "    'cognitiveServices': {\n",
     "        '@odata.type': '#Microsoft.Azure.Search.CognitiveServicesByKey',\n",
     "        'description': '/subscriptions/subscription_id/resourceGroups/resource_group/providers/Microsoft.CognitiveServices/accounts/cog_svcs_acct',\n",
-    "        'key': f'cog_svcs_key'\n",
+    "        'key': f'{cog_svcs_key}'\n",
     "    },\n",
     "    'knowledgeStore': {\n",
-    "        'storageConnectionString': f'STORAGECONNSTRING',\n",
+    "        'storageConnectionString': f'{STORAGECONNSTRING}',\n",
     "        'projections': [\n",
     "            {\n",
     "                'tables': [],\n",
     "                'objects': [\n",
     "                    {\n",
-    "                        'storageContainer':  f'datasource_container-enriched',\n",
+    "                        'storageContainer':  f'{datasource_container}-enriched',\n",
     "                        'referenceKeyName': None,\n",
     "                        'generatedKeyName': None,\n",
     "                        'source': '/document/objectprojection',\n",
@@ -527,7 +527,7 @@
    "source": [
     "indexname = f'{datasource_container}-idx'\n",
     "index_def = {\n",
-    "    \"name\":f'indexname',\n",
+    "    \"name\":f'{indexname}',\n",
     "      \"defaultScoringProfile\": \"\",\n",
     "    \"fields\": [\n",
     "        {\n",
@@ -1024,7 +1024,7 @@
    "source": [
     "indexername = f'{datasource_container}-idxr'\n",
     "indexer_def = {\n",
-    "    \"name\": f'indexername',\n",
+    "    \"name\": f'{indexername}',\n",
     "    \"description\": \"Indexer to enrich hotel reviews\",\n",
     "    \"dataSourceName\": f'{datasource_container}-ds',\n",
     "    \"skillsetName\": f'{datasource_container}-ss',\n",
@@ -1076,7 +1076,7 @@
     "    ],\n",
     "    \"cache\": {\n",
     "        \"enableReprocessing\": True,\n",
-    "        \"storageConnectionString\": f'know_store_cache'\n",
+    "        \"storageConnectionString\": f'{know_store_cache}'\n",
     "    }\n",
     "}\n",
     "r = requests.post(construct_Url(search_service, \"indexers\", None, None, api_version), data=json.dumps(indexer_def),  headers=headers)\n",
@@ -1142,8 +1142,8 @@
    },
    "outputs": [],
    "source": [
-    "!pip install azure-storage-blob\n",
-    "!pip install --upgrade azureml-sdk"
+    "%pip install azure-storage-blob\n",
+    "%pip install --upgrade azureml-sdk"
    ]
   },
   {
@@ -1161,11 +1161,12 @@
    "source": [
     "from azureml.core import Workspace, Datastore\n",
     "try:\n",
-    "    ws = Workspace.from_config()\n",
+    "    ws = Workspace(subscription_id, resource_group, workspace_name)\n",
     "    print(ws.name, ws.location, ws.resource_group, ws.location, sep='\\t')\n",
     "    print('Library configuration succeeded')\n",
     "except:\n",
     "    print('Workspace not found')\n",
+    "    \n",
     "ds = ws.get_default_datastore()"
    ]
   },
@@ -2207,7 +2208,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,