update connector API documentation examples (elastic#2644)

Author: miguelgrinberg

docs/examples/00fea15cbca83be9d5f1a024ff2ec708.asciidoc

@@ -3,11 +3,10 @@
 
 [source, python]
 ----
-resp = client.perform_request(
-    "PUT",
-    "/_inference/text_embedding/my-e5-model",
-    headers={"Content-Type": "application/json"},
-    body={
+resp = client.inference.put(
+    task_type="text_embedding",
+    inference_id="my-e5-model",
+    inference_config={
         "service": "elasticsearch",
         "service_settings": {
             "num_allocations": 1,

docs/examples/04412d11783dac25b5fd2ec5407078a3.asciidoc

@@ -3,14 +3,10 @@
 
 [source, python]
 ----
-resp = client.perform_request(
-    "PUT",
-    "/_connector/my-connector/_api_key_id",
-    headers={"Content-Type": "application/json"},
-    body={
-        "api_key_id": "my-api-key-id",
-        "api_key_secret_id": "my-connector-secret-id"
-    },
+resp = client.connector.update_api_key_id(
+    connector_id="my-connector",
+    api_key_id="my-api-key-id",
+    api_key_secret_id="my-connector-secret-id",
 )
 print(resp)
 ----

docs/examples/04de2e3a9c00c2056b07bf9cf9e63a99.asciidoc

@@ -3,11 +3,10 @@
 
 [source, python]
 ----
-resp = client.perform_request(
-    "PUT",
-    "/_inference/text_embedding/google_vertex_ai_embeddings",
-    headers={"Content-Type": "application/json"},
-    body={
+resp = client.inference.put(
+    task_type="text_embedding",
+    inference_id="google_vertex_ai_embeddings",
+    inference_config={
         "service": "googlevertexai",
         "service_settings": {
             "service_account_json": "<service_account_json>",

docs/examples/0ad8edd10542ec2c4d5d8700d7e2ba97.asciidoc

@@ -3,11 +3,10 @@
 
 [source, python]
 ----
-resp = client.perform_request(
-    "PUT",
-    "/_inference/text_embedding/amazon_bedrock_embeddings",
-    headers={"Content-Type": "application/json"},
-    body={
+resp = client.inference.put(
+    task_type="text_embedding",
+    inference_id="amazon_bedrock_embeddings",
+    inference_config={
         "service": "amazonbedrock",
         "service_settings": {
             "access_key": "<aws_access_key>",

docs/examples/0ade87c8cb0e3c188d2e3dce279d5cc2.asciidoc

@@ -3,30 +3,26 @@
 
 [source, python]
 ----
-resp = client.perform_request(
-    "PUT",
-    "/_connector/my-g-drive-connector/_filtering",
-    headers={"Content-Type": "application/json"},
-    body={
-        "rules": [
-            {
-                "field": "file_extension",
-                "id": "exclude-txt-files",
-                "order": 0,
-                "policy": "exclude",
-                "rule": "equals",
-                "value": "txt"
-            },
-            {
-                "field": "_",
-                "id": "DEFAULT",
-                "order": 1,
-                "policy": "include",
-                "rule": "regex",
-                "value": ".*"
-            }
-        ]
-    },
+resp = client.connector.update_filtering(
+    connector_id="my-g-drive-connector",
+    rules=[
+        {
+            "field": "file_extension",
+            "id": "exclude-txt-files",
+            "order": 0,
+            "policy": "exclude",
+            "rule": "equals",
+            "value": "txt"
+        },
+        {
+            "field": "_",
+            "id": "DEFAULT",
+            "order": 1,
+            "policy": "include",
+            "rule": "regex",
+            "value": ".*"
+        }
+    ],
 )
 print(resp)
 ----

docs/examples/0ea2167ce7c87d311b20c4f8c698a8d0.asciidoc

@@ -1,5 +1,5 @@
 // This file is autogenerated, DO NOT EDIT
-// search/point-in-time-api.asciidoc:152
+// search/point-in-time-api.asciidoc:190
 
 [source, python]
 ----

docs/examples/0fb7705ddbf1fc2b65d2de2e00fe5769.asciidoc

@@ -1,5 +1,5 @@
 // This file is autogenerated, DO NOT EDIT
-// aggregations/metrics/scripted-metric-aggregation.asciidoc:59
+// aggregations/metrics/scripted-metric-aggregation.asciidoc:61
 
 [source, python]
 ----

docs/examples/13ecdf99114098c76b050397d9c3d4e6.asciidoc

@@ -3,13 +3,10 @@
 
 [source, python]
 ----
-resp = client.perform_request(
-    "POST",
-    "/_inference/sparse_embedding/my-elser-model",
-    headers={"Content-Type": "application/json"},
-    body={
-        "input": "The sky above the port was the color of television tuned to a dead channel."
-    },
+resp = client.inference.inference(
+    task_type="sparse_embedding",
+    inference_id="my-elser-model",
+    input="The sky above the port was the color of television tuned to a dead channel.",
 )
 print(resp)
 ----

docs/examples/187733e50c60350f3f75921bea3b72c2.asciidoc

@@ -1,5 +1,5 @@
 // This file is autogenerated, DO NOT EDIT
-// search/search-your-data/paginate-search-results.asciidoc:613
+// search/search-your-data/paginate-search-results.asciidoc:615
 
 [source, python]
 ----

docs/examples/19d60e4890cc57151d596326484d9076.asciidoc

@@ -3,9 +3,9 @@
 
 [source, python]
 ----
-resp = client.ingest.delete_geoip_database(
-    id="my-database-id",
-    body=None,
+resp = client.perform_request(
+    "DELETE",
+    "/_ingest/geoip/database/my-database-id",
 )
 print(resp)
 ----