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Auto-generated code for 8.x (#2529)

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This commit is contained in:
Elastic Machine
2024-12-11 17:12:08 +01:00
committed by GitHub
parent 8d868df86a
commit f02c66cdcc
135 changed files with 1233 additions and 1000 deletions
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8
docs/doc_examples/0bee07a581c5776e068f6f4efad5a399.asciidoc
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@ -3,8 +3,12 @@
[source, js]
----
const response = await client.esql.asyncQuery({
format: "json",
const response = await client.transport.request({
method: "POST",
path: "/_query/async",
querystring: {
format: "json",
},
body: {
query:
"\n FROM my-index-000001,cluster_one:my-index-000001,cluster_two:my-index*\n | STATS COUNT(http.response.status_code) BY user.id\n | LIMIT 2\n ",

2
docs/doc_examples/160986f49758f4e8345d183a842f6351.asciidoc → docs/doc_examples/0c52af573c9401a2a687e86a4beb182b.asciidoc
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@ -10,7 +10,7 @@ const response = await client.ingest.putPipeline({
{
attachment: {
field: "data",
remove_binary: false,
remove_binary: true,
},
},
],

5
docs/doc_examples/0dfde6a9d953822fd4b3aa0121ddd8fb.asciidoc
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@ -3,8 +3,9 @@
[source, js]
----
const response = await client.searchApplication.renderQuery({
name: "my-app",
const response = await client.transport.request({
method: "POST",
path: "/_application/search_application/my-app/_render_query",
body: {
params: {
query_string: "my first query",

2
docs/doc_examples/16634cfa7916cf4e8048a1d70e6240f2.asciidoc
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@ -11,7 +11,7 @@ const response = await client.searchApplication.put({
script: {
lang: "mustache",
source:
'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n \n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "highlight": {\n "fields": {\n "title": { "fragment_size": 0 },\n "plot": { "fragment_size": 200 }\n }\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "highlight": {\n "fields": {\n "title": { "fragment_size": 0 },\n "plot": { "fragment_size": 200 }\n }\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
params: {
query: "",
_es_filters: {},

4
docs/doc_examples/19c00c6b29bc7dbc5e92b3668da2da93.asciidoc
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@ -3,7 +3,9 @@
[source, js]
----
const response = await client.simulate.ingest({
const response = await client.transport.request({
method: "POST",
path: "/_ingest/_simulate",
body: {
docs: [
{

4
docs/doc_examples/2a1eece9a59ac1773edcf0a932c26de0.asciidoc
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@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.oidcLogout({
const response = await client.transport.request({
method: "POST",
path: "/_security/oidc/logout",
body: {
token:
"dGhpcyBpcyBub3QgYSByZWFsIHRva2VuIGJ1dCBpdCBpcyBvbmx5IHRlc3QgZGF0YS4gZG8gbm90IHRyeSB0byByZWFkIHRva2VuIQ==",

35
docs/doc_examples/2a67608dadbf220a2f040f3a79d3677d.asciidoc Normal file
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@ -0,0 +1,35 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.ingest.putPipeline({
id: "attachment",
description: "Extract attachment information including original binary",
processors: [
{
attachment: {
field: "data",
remove_binary: false,
},
},
],
});
console.log(response);
const response1 = await client.index({
index: "my-index-000001",
id: "my_id",
pipeline: "attachment",
document: {
data: "e1xydGYxXGFuc2kNCkxvcmVtIGlwc3VtIGRvbG9yIHNpdCBhbWV0DQpccGFyIH0=",
},
});
console.log(response1);
const response2 = await client.get({
index: "my-index-000001",
id: "my_id",
});
console.log(response2);
----

10
docs/doc_examples/2afdf0d83724953aa2875b5fb37d60cc.asciidoc
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@ -3,10 +3,12 @@
[source, js]
----
const response = await client.esql.asyncQueryGet({
id: "FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
wait_for_completion_timeout: "30s",
body: null,
const response = await client.transport.request({
method: "GET",
path: "/_query/async/FmNJRUZ1YWZCU3dHY1BIOUhaenVSRkEaaXFlZ3h4c1RTWFNocDdnY2FSaERnUTozNDE=",
querystring: {
wait_for_completion_timeout: "30s",
},
});
console.log(response);
----

4
docs/doc_examples/3f1fe5f5f99b98d0891f38003e10b636.asciidoc
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@ -3,7 +3,9 @@
[source, js]
----
const response = await client.esql.asyncQuery({
const response = await client.transport.request({
method: "POST",
path: "/_query/async",
body: {
query:
"\n FROM library\n | EVAL year = DATE_TRUNC(1 YEARS, release_date)\n | STATS MAX(page_count) BY year\n | SORT year\n | LIMIT 5\n ",

6
docs/doc_examples/405511f7c1f12cc0a227b4563fe7b2e2.asciidoc
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@ -3,9 +3,9 @@
[source, js]
----
const response = await client.esql.asyncQueryGet({
id: "FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
body: null,
const response = await client.transport.request({
method: "GET",
path: "/_query/async/FkpMRkJGS1gzVDRlM3g4ZzMyRGlLbkEaTXlJZHdNT09TU2VTZVBoNDM3cFZMUToxMDM=",
});
console.log(response);
----

3
docs/doc_examples/9f16fca9813304e398ee052aa857dbcd.asciidoc → docs/doc_examples/48e142e6c69014e0509d4c9251749d77.asciidoc
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@ -10,7 +10,8 @@ const response = await client.inference.put({
service: "openai",
service_settings: {
api_key: "<api_key>",
model_id: "text-embedding-ada-002",
model_id: "text-embedding-3-small",
dimensions: 128,
},
},
});

17
docs/doc_examples/49b31e23f8b9667b6a7b2734d55fb6ed.asciidoc
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@ -1,17 +0,0 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.knnSearch({
index: "my-index",
knn: {
field: "image_vector",
query_vector: [0.3, 0.1, 1.2],
k: 10,
num_candidates: 100,
},
_source: ["name", "file_type"],
});
console.log(response);
----

6
docs/doc_examples/4b91ad7c9b44e07db4a4e81390f19ad3.asciidoc
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@ -3,9 +3,9 @@
[source, js]
----
const response = await client.inference.streamInference({
task_type: "completion",
inference_id: "openai-completion",
const response = await client.transport.request({
method: "POST",
path: "/_inference/completion/openai-completion/_stream",
body: {
input: "What is Elastic?",
},

18
docs/doc_examples/53d9d2ec9cb8d211772d764e76fe6890.asciidoc Normal file
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@ -0,0 +1,18 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.ingest.simulate({
id: "query_helper_pipeline",
docs: [
{
_source: {
content:
"artificial intelligence in medicine articles published in the last 12 months",
},
},
],
});
console.log(response);
----

4
docs/doc_examples/57dc15e5ad663c342fd5c1d86fcd1b29.asciidoc
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@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.oidcPrepareAuthentication({
const response = await client.transport.request({
method: "POST",
path: "/_security/oidc/prepare",
body: {
realm: "oidc1",
state: "lGYK0EcSLjqH6pkT5EVZjC6eIW5YCGgywj2sxROO",

22
docs/doc_examples/5a70db31f587b7ffed5e9bc1445430cb.asciidoc
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@ -1,22 +0,0 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.indices.create({
index: "semantic-embeddings",
mappings: {
properties: {
semantic_text: {
type: "semantic_text",
inference_id: "my-elser-endpoint",
},
content: {
type: "text",
copy_to: "semantic_text",
},
},
},
});
console.log(response);
----

8
docs/doc_examples/5bba213a7f543190139d1a69ab2ed076.asciidoc
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@ -3,8 +3,12 @@
[source, js]
----
const response = await client.esql.asyncQuery({
format: "json",
const response = await client.transport.request({
method: "POST",
path: "/_query/async",
querystring: {
format: "json",
},
body: {
query:
"\n FROM cluster_one:my-index*,cluster_two:logs*\n | STATS COUNT(http.response.status_code) BY user.id\n | LIMIT 2\n ",

2
docs/doc_examples/6b6fd0a5942dfb9762ad2790cf421a80.asciidoc
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@ -11,7 +11,7 @@ const response = await client.searchApplication.put({
script: {
lang: "mustache",
source:
'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n \n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
'\n {\n "query": {\n "bool": {\n "must": [\n {{#query}}\n {{/query}}\n ],\n "filter": {{#toJson}}_es_filters{{/toJson}}\n }\n },\n "_source": {\n "includes": ["title", "plot"]\n },\n "aggs": {{#toJson}}_es_aggs{{/toJson}},\n "from": {{from}},\n "size": {{size}},\n "sort": {{#toJson}}_es_sort_fields{{/toJson}}\n }\n ',
params: {
query: "",
_es_filters: {},

4
docs/doc_examples/6f3b723bf6179b96c3413597ed7f49e1.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.bulkUpdateApiKeys({
const response = await client.transport.request({
method: "POST",
path: "/_security/api_key/_bulk_update",
body: {
ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
},

4
docs/doc_examples/77518e8c6198acfe77c0934fd2fe65cb.asciidoc
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@ -3,7 +3,9 @@
[source, js]
----
const response = await client.textStructure.findMessageStructure({
const response = await client.transport.request({
method: "POST",
path: "/_text_structure/find_message_structure",
body: {
messages: [
"[2024-03-05T10:52:36,256][INFO ][o.a.l.u.VectorUtilPanamaProvider] [laptop] Java vector incubator API enabled; uses preferredBitSize=128",

11
docs/doc_examples/7ba29f0be2297b54a640b0a17d7ef5ca.asciidoc Normal file
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@ -0,0 +1,11 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.transport.request({
method: "DELETE",
path: "/_ingest/ip_location/database/my-database-id",
});
console.log(response);
----

2
docs/doc_examples/f4d0ef2e0f76babee83d999fe35127f2.asciidoc → docs/doc_examples/80135e8c644e34cc70ce8a4e7915d1a2.asciidoc
View File

@ -12,7 +12,7 @@ const response = await client.ingest.putPipeline({
field: "data",
indexed_chars: 11,
indexed_chars_field: "max_size",
remove_binary: false,
remove_binary: true,
},
},
],

4
docs/doc_examples/80dd7f5882c59b9c1c90e8351937441f.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.bulkUpdateApiKeys({
const response = await client.transport.request({
method: "POST",
path: "/_security/api_key/_bulk_update",
body: {
ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
role_descriptors: {

22
docs/doc_examples/8cad5d95a0e7c103f08be53d0b172558.asciidoc
View File

@ -1,22 +0,0 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.inference.put({
task_type: "sparse_embedding",
inference_id: "my-elser-endpoint",
inference_config: {
service: "elser",
service_settings: {
adaptive_allocations: {
enabled: true,
min_number_of_allocations: 3,
max_number_of_allocations: 10,
},
num_threads: 1,
},
},
});
console.log(response);
----

17
docs/doc_examples/91e106a2affbc8df32cd940684a779ed.asciidoc Normal file
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@ -0,0 +1,17 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.transport.request({
method: "PUT",
path: "/_ingest/ip_location/database/my-database-1",
body: {
name: "GeoIP2-Domain",
maxmind: {
account_id: "1234567",
},
},
});
console.log(response);
----

32
docs/doc_examples/931817b168e055ecf738785c721125dd.asciidoc Normal file
View File

@ -0,0 +1,32 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.ingest.putPipeline({
id: "query_helper_pipeline",
processors: [
{
script: {
source:
"ctx.prompt = 'Please generate an elasticsearch search query on index `articles_index` for the following natural language query. Dates are in the field `@timestamp`, document types are in the field `type` (options are `news`, `publication`), categories in the field `category` and can be multiple (options are `medicine`, `pharmaceuticals`, `technology`), and document names are in the field `title` which should use a fuzzy match. Ignore fields which cannot be determined from the natural language query context: ' + ctx.content",
},
},
{
inference: {
model_id: "openai_chat_completions",
input_output: {
input_field: "prompt",
output_field: "query",
},
},
},
{
remove: {
field: "prompt",
},
},
],
});
console.log(response);
----

2
docs/doc_examples/8593715fcc70315a0816b435551258e0.asciidoc → docs/doc_examples/93c77c65f1e11382f8043d0300e87b89.asciidoc
View File

@ -9,7 +9,7 @@ const response = await client.indices.create({
properties: {
infer_field: {
type: "semantic_text",
inference_id: "my-elser-endpoint",
inference_id: ".elser-2-elasticsearch",
},
source_field: {
type: "text",

11
docs/doc_examples/99fb82d49ac477e6a9dfdd71f9465374.asciidoc Normal file
View File

@ -0,0 +1,11 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.transport.request({
method: "DELETE",
path: "/_ingest/ip_location/database/example-database-id",
});
console.log(response);
----

6
docs/doc_examples/9afa0844883b7471883aa378a8dd10b4.asciidoc
View File

@ -3,9 +3,9 @@
[source, js]
----
const response = await client.searchApplication.postBehavioralAnalyticsEvent({
collection_name: "my_analytics_collection",
event_type: "search_click",
const response = await client.transport.request({
method: "POST",
path: "/_application/analytics/my_analytics_collection/event/search_click",
body: {
session: {
id: "1797ca95-91c9-4e2e-b1bd-9c38e6f386a9",

4
docs/doc_examples/9c01db07c9ac395b6370e3b33965c21f.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.oidcAuthenticate({
const response = await client.transport.request({
method: "POST",
path: "/_security/oidc/authenticate",
body: {
redirect_uri:
"https://oidc-kibana.elastic.co:5603/api/security/oidc/callback?code=jtI3Ntt8v3_XvcLzCFGq&state=4dbrihtIAt3wBTwo6DxK-vdk-sSyDBV8Yf0AjdkdT5I",

5
docs/doc_examples/a162eb50853331c80596f5994e9d1c38.asciidoc
View File

@ -3,8 +3,9 @@
[source, js]
----
const response = await client.searchApplication.renderQuery({
name: "my_search_application",
const response = await client.transport.request({
method: "POST",
path: "/_application/search_application/my_search_application/_render_query",
body: {
params: {
query_string: "rock climbing",

6
docs/doc_examples/b0bddf2ffaa83049b195829c06b875cd.asciidoc
View File

@ -3,9 +3,9 @@
[source, js]
----
const response = await client.searchApplication.renderQuery({
name: "my_search_application",
body: null,
const response = await client.transport.request({
method: "POST",
path: "/_application/search_application/my_search_application/_render_query",
});
console.log(response);
----

11
docs/doc_examples/b62eaa20c4e0e48134a6d1d1b3c30b26.asciidoc
View File

@ -208,10 +208,13 @@ const response = await client.bulk({
});
console.log(response);
const response1 = await client.textStructure.findFieldStructure({
index: "test-logs",
field: "message",
body: null,
const response1 = await client.transport.request({
method: "GET",
path: "/_text_structure/find_field_structure",
querystring: {
index: "test-logs",
field: "message",
},
});
console.log(response1);
----

4
docs/doc_examples/bcdfaa4487747249699a86a0dcd22f5e.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.simulate.ingest({
const response = await client.transport.request({
method: "POST",
path: "/_ingest/_simulate",
body: {
docs: [
{

4
docs/doc_examples/c580990a70028bb49cca8a6bde86bbf6.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.bulkUpdateApiKeys({
const response = await client.transport.request({
method: "POST",
path: "/_security/api_key/_bulk_update",
body: {
ids: ["VuaCfGcBCdbkQm-e5aOx", "H3_AhoIBA9hmeQJdg7ij"],
role_descriptors: {},

4
docs/doc_examples/ccc613951c61f0b17e1ed8a2d3ae54a2.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.simulate.ingest({
const response = await client.transport.request({
method: "POST",
path: "/_ingest/_simulate",
body: {
docs: [
{

2
docs/doc_examples/b26b5574438e4eaf146b2428bf537c51.asciidoc → docs/doc_examples/cecfaa659af6646b3b67d7b311586fa0.asciidoc
View File

@ -14,7 +14,7 @@ const response = await client.ingest.putPipeline({
attachment: {
target_field: "_ingest._value.attachment",
field: "_ingest._value.data",
remove_binary: false,
remove_binary: true,
},
},
},

24
docs/doc_examples/d29031409016b2b798148ef173a196ae.asciidoc Normal file
View File

@ -0,0 +1,24 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.indices.create({
index: "test-index",
query: {
semantic: {
field: "my_semantic_field",
},
},
highlight: {
fields: {
my_semantic_field: {
type: "semantic",
number_of_fragments: 2,
order: "score",
},
},
},
});
console.log(response);
----

4
docs/doc_examples/d35c8cf7a98b3f112e1de8797ec6689d.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.oidcPrepareAuthentication({
const response = await client.transport.request({
method: "POST",
path: "/_security/oidc/prepare",
body: {
iss: "http://127.0.0.1:8080",
login_hint: "this_is_an_opaque_string",

15
docs/doc_examples/d4df39f72d3a3b80cd4042f6a21c3f19.asciidoc Normal file
View File

@ -0,0 +1,15 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.transport.request({
method: "PUT",
path: "/_ingest/ip_location/database/my-database-2",
body: {
name: "standard_location",
ipinfo: {},
},
});
console.log(response);
----

2
docs/doc_examples/35fd9549350926f8d57dc1765e2f40d3.asciidoc → docs/doc_examples/d5242b1ab0213f25e5e0742032274ce6.asciidoc
View File

@ -10,7 +10,7 @@ const response = await client.ingest.putPipeline({
{
attachment: {
field: "data",
remove_binary: false,
remove_binary: true,
},
},
],

11
docs/doc_examples/d8c053ee26c1533ce936ec81101d8e1b.asciidoc Normal file
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@ -0,0 +1,11 @@
// This file is autogenerated, DO NOT EDIT
// Use `node scripts/generate-docs-examples.js` to generate the docs examples
[source, js]
----
const response = await client.transport.request({
method: "GET",
path: "/_ingest/ip_location/database/my-database-id",
});
console.log(response);
----

5
docs/doc_examples/dd71b0c9f9197684ff29c61062c55660.asciidoc
View File

@ -3,6 +3,9 @@
[source, js]
----
const response = await client.security.getSettings();
const response = await client.transport.request({
method: "GET",
path: "/_security/settings",
});
console.log(response);
----

4
docs/doc_examples/e3019fd5f23458ae49ad9854c97d321c.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.security.oidcPrepareAuthentication({
const response = await client.transport.request({
method: "POST",
path: "/_security/oidc/prepare",
body: {
realm: "oidc1",
},

4
docs/doc_examples/e4b38973c74037335378d8480f1ce894.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.simulate.ingest({
const response = await client.transport.request({
method: "POST",
path: "/_ingest/_simulate",
body: {
docs: [
{

2
docs/doc_examples/5ba32ebaa7ee28a339c7693696d305ca.asciidoc → docs/doc_examples/e77c2f41a7eca765b0c5f734a66d919f.asciidoc
View File

@ -11,7 +11,7 @@ const response = await client.ingest.putPipeline({
attachment: {
field: "data",
properties: ["content", "title"],
remove_binary: false,
remove_binary: true,
},
},
],

2
docs/doc_examples/bb5a1319c496acc862c670cc7224e59a.asciidoc → docs/doc_examples/ea8c4229afa6dd4f1321355542be9912.asciidoc
View File

@ -12,7 +12,7 @@ const response = await client.ingest.putPipeline({
field: "data",
indexed_chars: 11,
indexed_chars_field: "max_size",
remove_binary: false,
remove_binary: true,
},
},
],

4
docs/doc_examples/f6f647eb644a2d236637ff05f833cb73.asciidoc
View File

@ -3,7 +3,9 @@
[source, js]
----
const response = await client.connector.secretPost({
const response = await client.transport.request({
method: "POST",
path: "/_connector/_secret",
body: {
value: "encoded_api_key",
},