- [User guide of OpenSearch Python client](#user-guide-of-opensearch-python-client) - [Setup](#setup) - [Example](#example) - [Creating a client](#creating-a-client) - [Creating an index](#creating-an-index) - [Adding a document to an index](#adding-a-document-to-an-index) - [Adding documents in bulk](#adding-documents-in-bulk) - [Adding documents in bulk using helper functions](#adding-documents-in-bulk-using-helper-functions) - [Searching for a document](#searching-for-a-document) - [Deleting a document](#deleting-a-document) - [Deleting an index](#deleting-an-index) - [Making API calls](#making-api-calls) - [Point in time API](#point-in-time-api) - [Using DSL features from opensearch-dsl-py](#using-dsl-features-from-opensearch-dsl-py) - [Searching for documents with filters](#searching-for-documents-with-filters) - [Using plugins](#using-plugins) - [Alerting plugin](#alerting-plugin) - [**Searching for monitors**](#searching-for-monitors) - [**Getting a monitor**](#getting-a-monitor) - [**Creating a monitor**](#creating-a-monitor) - [**Creating a destination**](#creating-a-destination) - [**Getting alerts**](#getting-alerts) - [**Acknowledge alerts**](#acknowledge-alerts) - [Index management plugin](#index-management-plugin) - [Creating a policy](#creating-a-policy) - [Getting a policy](#getting-a-policy) - [Deleting a policy](#deleting-a-policy) - [Security plugin](#security-plugin) - [Creating a role](#creating-a-role) - [Getting a role](#getting-a-role) - [Creating a user](#creating-a-user) - [Getting a user](#getting-a-user) - [Using different authentication methods](#using-different-authentication-methods) - [Using IAM credentials](#using-iam-credentials) - [Pre-requisites to use `AWSV4SignerAuth`](#pre-requisites-to-use-awsv4signerauth) - [Using IAM authentication with an async client](#using-iam-authentication-with-an-async-client) - [Using Kerberos](#using-kerberos) - [Using environment settings for proxy configuration](#using-environment-settings-for-proxy-configuration) # User guide of OpenSearch Python client ## Setup To add the client to your project, install it using [pip](https://pip.pypa.io/): ```bash pip install opensearch-py ``` Then import it like any other module: ```python from opensearchpy import OpenSearch ``` To add the async client to your project, install it using [pip](https://pip.pypa.io/): ```bash pip install opensearch-py[async] ``` If you prefer to add the client manually or just want to examine the source code, see [opensearch-py on GitHub](https://github.com/opensearch-project/opensearch-py). ## Example In the example given below, we create a client, an index with non-default settings, insert a document in the index, search for the document, delete the document and finally delete the index. ### Creating a client ```python from opensearchpy import OpenSearch host = 'localhost' port = 9200 auth = ('admin', 'admin') # For testing only. Don't store credentials in code. # Provide a CA bundle if you use intermediate CAs with your root CA. # If this is not given, the CA bundle is is discovered from the first available # following options: # - OpenSSL environment variables SSL_CERT_FILE and SSL_CERT_DIR # - certifi bundle (https://pypi.org/project/certifi/) # - default behavior of the connection backend (most likely system certs) ca_certs_path = '/full/path/to/root-ca.pem' # Optional client certificates if you don't want to use HTTP basic authentication. # client_cert_path = '/full/path/to/client.pem' # client_key_path = '/full/path/to/client-key.pem' # Create the client with SSL/TLS enabled, but hostname verification disabled. client = OpenSearch( hosts = [{'host': host, 'port': port}], http_compress = True, # enables gzip compression for request bodies http_auth = auth, # client_cert = client_cert_path, # client_key = client_key_path, use_ssl = True, verify_certs = True, ssl_assert_hostname = False, ssl_show_warn = False, ca_certs = ca_certs_path ) ``` ### Creating an index ```python # Create an index with non-default settings. index_name = 'python-test-index3' index_body = { 'settings': { 'index': { 'number_of_shards': 4 } } } response = client.indices.create(index_name, body=index_body) print('\nCreating index:') print(response) ``` ### Adding a document to an index ```python document = { 'title': 'Moneyball', 'director': 'Bennett Miller', 'year': '2011' } id = '1' response = client.index( index = index_name, body = document, id = id, refresh = True ) print('\nAdding document:') print(response) ``` ### Adding documents in bulk ```python docs = '''{"index": {"_index": "index-2022-06-08", "_id": "1"}} {"name": "foo"} {"index": {"_index": "index-2022-06-09", "_id": "2"}} {"name": "bar"} {"index": {"_index": "index-2022-06-10", "_id": "3"}} {"name": "baz"}''' response = client.bulk(docs) print('\nAdding bulk documents:') print(response) ``` ### Adding documents in bulk using helper functions ```python docs = [] def generate_data(): mywords = ['foo', 'bar', 'baz'] for index, word in enumerate(mywords): docs.append({ "_index": "mywords", "word": word, "_id": index }) return docs response = helpers.bulk(client, generate_data(), max_retries=3) print('\nAdding bulk documents using helper:') print(response) ``` ### Searching for a document ```python q = 'miller' query = { 'size': 5, 'query': { 'multi_match': { 'query': q, 'fields': ['title^2', 'director'] } } } response = client.search( body = query, index = index_name ) print('\nSearch results:') print(response) ``` ### Deleting a document ```python response = client.delete( index = index_name, id = id ) print('\nDeleting document:') print(response) ``` ### Deleting an index ```python response = client.indices.delete( index = index_name ) print('\nDeleting index:') print(response) ``` ## Making API calls ### Point in time API ```python # create a point in time on a index index_name = "test-index" response = client.create_point_in_time(index=index_name, keep_alive="1m") pit_id = response.get("pit_id") print('\n Point in time ID:') print(pit_id) # To list all point in time which are alive in the cluster response = client.list_all_point_in_time() print('\n List of all Point in Time:') print(response) # To delete point in time pit_body = { "pit_id": [pit_id] } # To delete all point in time # client.delete_point_in_time(body=None, all=True) response = client.delete_point_in_time(body=pit_body) print('\n The deleted point in time:') print(response) ``` ## Using DSL features from opensearch-dsl-py opensearch-dsl-py client is now merged into the opensearch-py client. Thus, opensearch-py supports creating and indexing documents, searching with and without filters, and updating documents using queries. See [opensearch-dsl-py client documentation](https://opensearch.org/docs/latest/clients/python-high-level/) for details. All the APIs newly added from opensearch-dsl-py are listed in [docs](https://github.com/opensearch-project/opensearch-py/tree/main/docs/source/api-ref). In the below example, [Search API](https://github.com/opensearch-project/opensearch-py/blob/main/opensearchpy/helpers/search.py) from opensearch-dsl-py client is used. ### Searching for documents with filters ```python from opensearchpy import OpenSearch, Search # Use the above mentioned examples for creating client. # Then,create an index # Add a document to the index. # Search for the document. s = Search(using=client, index=index_name) \ .filter("term", category="search") \ .query("match", title="python") response = s.execute() print('\nSearch results:') for hit in response: print(hit.meta.score, hit.title) # Delete the document. # Delete the index. ``` ## Using plugins Plugin client definitions can be found here -- ### Alerting plugin #### **Searching for monitors** [API definition](https://opensearch.org/docs/latest/monitoring-plugins/alerting/api/#search-monitors) ```python print('\Searching for monitors:') query = { "query": { "match" : { "monitor.name": "test-monitor" } } } response = client.plugins.alerting.search_monitor(query) print(response) ``` #### **Getting a monitor** [API definition](https://opensearch.org/docs/latest/monitoring-plugins/alerting/api/#get-monitor) ```python print('\Getting a monitor:') response = client.plugins.alerting.get_monitor("monitorID") print(response) ``` #### **Creating a monitor** [API definition](https://opensearch.org/docs/latest/monitoring-plugins/alerting/api/#create-a-bucket-level-monitor) ```python print('\Creating a bucket level monitor:') query = { "type": "monitor", "name": "Demo bucket-level monitor", "monitor_type": "bucket_level_monitor", "enabled": True, "schedule": { "period": { "interval": 1, "unit": "MINUTES" } }, "inputs": [ { "search": { "indices": [ "python-test-index3" ], "query": { "size": 0, "query": { "bool": { "filter": [ { "range": { "order_date": { "from": "||-1h", "to": "", "include_lower": True, "include_upper": True, "format": "epoch_millis" } } } ] } }, "aggregations": { "composite_agg": { "composite": { "sources": [ { "user": { "terms": { "field": "user" } } } ] }, "aggregations": { "avg_products_base_price": { "avg": { "field": "products.base_price" } } } } } } } } ], } response = client.plugins.alerting.create_monitor(query) print(response) ``` #### **Creating a destination** [API definition](https://opensearch.org/docs/latest/monitoring-plugins/alerting/api/#create-destination) ```python print('\Creating an email destination:') query = { "type": "email", "name": "my-email-destination", "email": { "email_account_id": "YjY7mXMBx015759_IcfW", "recipients": [ { "type": "email_group", "email_group_id": "YzY-mXMBx015759_dscs" }, { "type": "email", "email": "example@email.com" } ] } } response = client.plugins.alerting.create_destination(query) print(response) ``` #### **Getting alerts** [API definition](https://opensearch.org/docs/latest/monitoring-plugins/alerting/api/#get-alerts) ```python print('\Getting alerts:') response = client.plugins.alerting.get_alerts() print(response) ``` #### **Acknowledge alerts** [API definition](https://opensearch.org/docs/latest/monitoring-plugins/alerting/api/#acknowledge-alert) ```python print('\Acknowledge alerts:') query = { "alerts": ["eQURa3gBKo1jAh6qUo49"] } response = client.plugins.alerting.acknowledge_alert(query) print(response) ``` ### Index management plugin #### Creating a policy [API definition](https://opensearch.org/docs/latest/im-plugin/ism/api/#create-policy) ```python print('\Creating a policy:') policy_name = "test-policy" policy_content = { "policy": { "description": "hot warm delete workflow", "default_state": "hot", "schema_version": 1, "states": [ { "name": "hot", "actions": [{"rollover": {"min_index_age": "1d"}}], "transitions": [{"state_name": "warm"}], }, { "name": "warm", "actions": [{"replica_count": {"number_of_replicas": 5}}], "transitions": [{"state_name": "delete", "conditions": {"min_index_age": "30d"}}], }, { "name": "delete", "actions": [ { "notification": { "destination": {"chime": {"url": ""}}, "message_template": {"source": "The index {{ctx.index}} is being deleted"}, } }, {"delete": {}}, ], }, ], "ism_template": {"index_patterns": ["log*"], "priority": 100}, } } response = client.index_managment.put_policy(policy_name, body=policy_content) print(response) ``` #### Getting a policy [API definition](https://opensearch.org/docs/latest/im-plugin/ism/api/#get-policy) ```python print('\Getting a policy:') policy_name = "test-policy" response = client.index_managment.get_policy(policy_name) print(response) ``` #### Deleting a policy [API definition](https://opensearch.org/docs/latest/index_managment/access-control/api/#create-user) ```python print('\Deleting a policy:') policy_name = "test-policy" response = client.index_managment.delete_policy(policy_name) print(response) ``` ### Security plugin #### Creating a role [API definition](https://opensearch.org/docs/latest/security/access-control/api/#create-role) ```python print('\Creating a role:') role_name = "test-role" role_content = { "cluster_permissions": ["cluster_monitor"], "index_permissions": [ { "index_patterns": ["index", "test-*"], "allowed_actions": [ "data_access", "indices_monitor", ], } ], } response = client.security.put_role(role_name, body=role_content) print(response) ``` #### Getting a role [API definition](https://opensearch.org/docs/latest/security/access-control/api/#get-role) ```python print('\Getting a role:') role_name = "test-role" response = client.security.get_role(role_name) print(response) ``` #### Creating a user [API definition](https://opensearch.org/docs/latest/security/access-control/api/#create-user) ```python print('\Creating a user:') user_name = "test-user" user_content = {"password": "test_password", "opendistro_security_roles": []} response = client.security.put_role(user_name, body=user_content) print(response) ``` #### Getting a user [API definition](https://opensearch.org/docs/latest/security/access-control/api/#get-user) ```python print('\Getting a user:') user_name = "test-user" response = client.security.get_user(user_name) print(response) ``` ## Using different authentication methods It is possible to use different methods for the authentication to OpenSearch. The parameters of `connection_class` and `http_auth` can be used for this. The following examples show how to authenticate using IAM credentials and using Kerberos. ### Using IAM credentials Refer the AWS documentation regarding usage of IAM credentials to sign requests to OpenSearch APIs - [Signing HTTP requests to Amazon OpenSearch Service.](https://docs.aws.amazon.com/opensearch-service/latest/developerguide/request-signing.html#request-signing-python) Opensearch-py client library also provides an in-house IAM based authentication feature, `AWSV4SignerAuth` that will help users to connect to their opensearch clusters by making use of IAM roles. `AWSV4SignerAuth` uses RequestHttpConnection as transport class for communication with opensearch clusters. Opensearch-py client library provides `pool_maxsize` option to modify default connection-pool size. #### Pre-requisites to use `AWSV4SignerAuth` - Python version 3.6 or above, - Install [botocore](https://pypi.org/project/botocore/) using pip `pip install botocore` Here is the sample code that uses `AWSV4SignerAuth` - ```python from opensearchpy import OpenSearch, RequestsHttpConnection, AWSV4SignerAuth import boto3 host = '' # cluster endpoint, for example: my-test-domain.us-east-1.es.amazonaws.com region = 'us-west-2' service = 'es' # 'aoss' for OpenSearch Serverless credentials = boto3.Session().get_credentials() auth = AWSV4SignerAuth(credentials, region, service) index_name = 'python-test-index3' client = OpenSearch( hosts = [{'host': host, 'port': 443}], http_auth = auth, use_ssl = True, verify_certs = True, connection_class = RequestsHttpConnection, pool_maxsize = 20 ) q = 'miller' query = { 'size': 5, 'query': { 'multi_match': { 'query': q, 'fields': ['title^2', 'director'] } } } response = client.search( body = query, index = index_name ) print('\nSearch results:') print(response) ``` ## Using IAM authentication with an async client Make sure to use `AsyncOpenSearch` with the `AsyncHttpConnection` connection class with the async `AWSV4SignerAsyncAuth` signer. - Requires opensearch-py[async] Here is the sample code that uses `AWSV4SignerAsyncAuth` - ```python from opensearchpy import AsyncOpenSearch, AsyncHttpConnection, AWSV4SignerAsyncAuth import boto3 host = '' # cluster endpoint, for example: my-test-domain.us-east-1.es.amazonaws.com region = 'us-west-2' service = 'es' # 'aoss' for OpenSearch Serverless credentials = boto3.Session().get_credentials() auth = AWSV4SignerAsyncAuth(credentials, region, service) index_name = 'python-test-index3' client = AsyncOpenSearch( hosts = [{'host': host, 'port': 443}], http_auth = auth, use_ssl = True, verify_certs = True, connection_class = AsyncHttpConnection ) async def search(): q = 'miller' query = { 'size': 5, 'query': { 'multi_match': { 'query': q, 'fields': ['title^2', 'director'] } } } response = await client.search( body = query, index = index_name ) print('\nSearch results:') print(response) search() ``` ### Using Kerberos There are several python packages that provide Kerberos support over HTTP connections, such as [requests-kerberos](http://pypi.org/project/requests-kerberos) and [requests-gssapi](https://pypi.org/project/requests-gssapi). The following example shows how to setup the authentication. Note that some of the parameters, such as `mutual_authentication` might depend on the server settings. ```python from opensearchpy import OpenSearch, RequestsHttpConnection from requests_kerberos import HTTPKerberosAuth, OPTIONAL client = OpenSearch( ['htps://...'], use_ssl=True, verify_certs=True, connection_class=RequestsHttpConnection, http_auth=HTTPKerberosAuth(mutual_authentication=OPTIONAL) ) health = client.cluster.health() ``` ## Using environment settings for proxy configuration Tell connection to get proxy information from `HTTP_PROXY` / `HTTPS_PROXY` environment variables or `~/.netrc` file if present. ```python from opensearchpy import OpenSearch, RequestsHttpConnection OpenSearch( hosts=["htps://..."], use_ssl=True, verify_certs=True, connection_class=RequestsHttpConnection, trust_env=True, ) ``` ```python from opensearchpy import AsyncOpenSearch, AIOHttpConnection client = AsyncOpenSearch( hosts=["htps://..."], use_ssl=True, verify_certs=True, connection_class=AIOHttpConnection, trust_env=True, ) ```