formatting and url change

Author: mbana641

samples/05_content_publishers/create_and_load_knowledge_graph_backups.ipynb

@@ -117,7 +117,7 @@
     "all_ent = \"all_entities.json\"\n",
     "all_rel = \"all_relationships.json\"\n",
     "prov_file = \"provenance_entities.json\"  # this will only be used if you want to backup provenance records\n",
-    "servicedef = 'service_definition.json'"
+    "servicedef = \"service_definition.json\""
    ]
   },
   {
@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "423cbfe2",
+   "id": "da690f5c",
    "metadata": {},
    "source": [
     "Get the service definition for the knowledge graph service and save it to the service definition file"
@@ -167,7 +167,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b24f732f",
+   "id": "952e670f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,11 +177,15 @@
     "    \"username\": \"myUsername\",\n",
     "    \"password\": \"myPassword\",\n",
     "    \"referer\": \"https://myportal.com/portal\",\n",
-    "    \"f\": \"json\"\n",
+    "    \"f\": \"json\",\n",
     "}\n",
     "token_response = requests.post(token_url, data=creds, verify=False)\n",
-    "sd_data = requests.get(url=kg_url, params={'f': 'json', 'token': token_response.json()['token']}, verify=False)\n",
-    "with open(os.path.join(output_folder, servicedef), 'w') as f:\n",
+    "sd_data = requests.get(\n",
+    "    url=\"https://myportal.com/server/rest/services/Hosted/myknowledgegraph/KnowledgeGraphServer\",\n",
+    "    params={\"f\": \"json\", \"token\": token_response.json()[\"token\"]},\n",
+    "    verify=False,\n",
+    ")\n",
+    "with open(os.path.join(output_folder, servicedef), \"w\") as f:\n",
     "    json.dump(sd_data.text, f)"
    ]
   },
@@ -282,9 +286,7 @@
    "outputs": [],
    "source": [
     "# query for all entities in graph\n",
-    "original_entities = knowledgegraph_backup.query_streaming(\n",
-    "    \"MATCH (n) RETURN distinct n\"\n",
-    ")"
+    "original_entities = knowledgegraph_backup.query_streaming(\"MATCH (n) RETURN distinct n\")"
    ]
   },
   {
@@ -304,9 +306,7 @@
     "        if type(curr_entity[\"_properties\"][prop]) == UUID:\n",
     "            curr_entity[\"_properties\"][prop] = str(curr_entity[\"_properties\"][prop])\n",
     "    # delete objectid, the server will handle creating new ones when we load the backup\n",
-    "    del curr_entity[\"_properties\"][\n",
-    "        \"objectid\"\n",
-    "    ]\n",
+    "    del curr_entity[\"_properties\"][\"objectid\"]\n",
     "    all_entities_fromquery.append(curr_entity)"
    ]
   },
@@ -367,9 +367,7 @@
     "                curr_relationship[\"_properties\"][prop]\n",
     "            )\n",
     "    # delete objectid, the server will handle creating new ones when we load the backup\n",
-    "    del curr_relationship[\"_properties\"][\n",
-    "        \"objectid\"\n",
-    "    ]\n",
+    "    del curr_relationship[\"_properties\"][\"objectid\"]\n",
     "    all_relationships_fromquery.append(curr_relationship)"
    ]
   },
@@ -397,13 +395,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d4db5b47",
+   "id": "9f237840",
    "metadata": {},
    "outputs": [],
    "source": [
     "# write provenance information to the provenance data model file\n",
-    "prov_structure = knowledgegraph_backup.datamodel['meta_entity_types']['Provenance']\n",
-    "with open(os.path.join(output_folder, dm_prov), 'w') as f:\n",
+    "prov_structure = knowledgegraph_backup.datamodel[\"meta_entity_types\"][\"Provenance\"]\n",
+    "with open(os.path.join(output_folder, dm_prov), \"w\") as f:\n",
     "    json.dump(prov_structure, f)"
    ]
   },
@@ -439,9 +437,7 @@
     "                curr_provenance[\"_properties\"][prop]\n",
     "            )\n",
     "    # delete objectid, the server will handle creating new ones when we load the backup\n",
-    "    del curr_provenance[\"_properties\"][\n",
-    "        \"objectid\"\n",
-    "    ]\n",
+    "    del curr_provenance[\"_properties\"][\"objectid\"]\n",
     "    all_provenance_fromquery.append(curr_provenance)"
    ]
   },
@@ -468,7 +464,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0b62742e",
+   "id": "fa7d1671",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -538,34 +534,34 @@
    "outputs": [],
    "source": [
     "# connect to portal via GIS\n",
-    "gis_load = GIS(\n",
-    "    \"https://myportal.com/portal\", \"username\", \"password\"\n",
-    ")\n",
+    "gis_load = GIS(\"https://myportal.com/portal\", \"username\", \"password\")\n",
     "\n",
-    "with open(os.path.join(output_folder, servicedef), 'r') as file:\n",
+    "with open(os.path.join(output_folder, servicedef), \"r\") as file:\n",
     "    service_def = json.load(file)\n",
     "service_def = json.loads(service_def)\n",
     "updated_service_def = {\n",
-    "    'name': \"myNewKnowledgeGraph\", #replace with the name for your new knowledge graph\n",
-    "    'capabilities': service_def['capabilities'],\n",
-    "    'jsonProperties': {\n",
-    "        'allowGeometryUpdates': service_def['allowGeometryUpdates'],\n",
-    "        'searchMaxRecordCount': service_def['searchMaxRecordCount'],\n",
-    "        'spatialReference': service_def['spatialReference'],\n",
-    "        'maxRecordCount': service_def['maxRecordCount'],\n",
-    "        'description': service_def['description'],\n",
-    "        'copyrightText': service_def['copyrightText'],\n",
-    "        'documentEntityTypeInfo': {\n",
+    "    \"name\": \"myNewKnowledgeGraph\",  # replace with the name for your new knowledge graph\n",
+    "    \"capabilities\": service_def[\"capabilities\"],\n",
+    "    \"jsonProperties\": {\n",
+    "        \"allowGeometryUpdates\": service_def[\"allowGeometryUpdates\"],\n",
+    "        \"searchMaxRecordCount\": service_def[\"searchMaxRecordCount\"],\n",
+    "        \"spatialReference\": service_def[\"spatialReference\"],\n",
+    "        \"maxRecordCount\": service_def[\"maxRecordCount\"],\n",
+    "        \"description\": service_def[\"description\"],\n",
+    "        \"copyrightText\": service_def[\"copyrightText\"],\n",
+    "        \"documentEntityTypeInfo\": {\n",
     "            \"documentEntityTypeName\": doc_type_name,\n",
-    "            \"hasDocumentsRelationshipTypeName\": doc_rel_type_name\n",
+    "            \"hasDocumentsRelationshipTypeName\": doc_rel_type_name,\n",
     "        },\n",
-    "        'supportsDocuments': service_def['supportsDocuments'],\n",
-    "        'supportsSearch': service_def['supportsSearch'],\n",
-    "        'supportsProvenance': service_def['supportsProvenance']\n",
-    "    }\n",
+    "        \"supportsDocuments\": service_def[\"supportsDocuments\"],\n",
+    "        \"supportsSearch\": service_def[\"supportsSearch\"],\n",
+    "        \"supportsProvenance\": service_def[\"supportsProvenance\"],\n",
+    "    },\n",
     "}\n",
     "\n",
-    "result = gis_copyto.content.create_service(name=\"\",service_type=\"KnowledgeGraph\",create_params=updated_service_def)\n",
+    "result = gis_copyto.content.create_service(\n",
+    "    name=\"\", service_type=\"KnowledgeGraph\", create_params=updated_service_def\n",
+    ")\n",
     "\n",
     "knowledgegraph_load = KnowledgeGraph(result.url, gis=gis_load)"
    ]
@@ -843,7 +839,9 @@
     "    prop_list = []\n",
     "    for prop in load_dm[\"relationship_types\"][relationship_type][\"properties\"]:\n",
     "        if (\n",
-    "            load_dm[\"relationship_types\"][relationship_type][\"properties\"][prop][\"fieldType\"]\n",
+    "            load_dm[\"relationship_types\"][relationship_type][\"properties\"][prop][\n",
+    "                \"fieldType\"\n",
+    "            ]\n",
     "            == \"esriFieldTypeString\"\n",
     "        ):\n",
     "            prop_list.append(prop)\n",
@@ -863,7 +861,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9bce8d5b",
+   "id": "8a6a5ca5",
    "metadata": {},
    "source": [
     "### Add additional provenance entity type properties\n",
@@ -873,19 +871,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e3563b59",
+   "id": "e663e9fd",
    "metadata": {},
    "outputs": [],
    "source": [
-    "with open(os.path.join(file_loc, dm_prov), 'r') as file:\n",
-    "        prov_dm = json.load(file)\n",
+    "with open(os.path.join(file_loc, dm_prov), \"r\") as file:\n",
+    "    prov_dm = json.load(file)\n",
     "\n",
     "prop_list = []\n",
-    "for prop in prov_dm['properties']:\n",
-    "    prop_list.append(prov_dm['properties'][prop])\n",
+    "for prop in prov_dm[\"properties\"]:\n",
+    "    prop_list.append(prov_dm[\"properties\"][prop])\n",
     "knowledgegraph_load.graph_property_adds(\n",
-    "    type_name=\"Provenance\",\n",
-    "    graph_properties=prop_list\n",
+    "    type_name=\"Provenance\", graph_properties=prop_list\n",
     ")\n",
     "# errors about already existing properties are expected"
    ]