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from __future__ import annotations
import json
from functools import cached_property
from typing import Any
from opensearchpy import OpenSearch, RequestsHttpConnection
from airflow.exceptions import AirflowException
from airflow.hooks.base import BaseHook
[docs]class OpenSearchHook(BaseHook):
"""
Provide a thin wrapper around the OpenSearch client.
:param open_search_conn_id: Connection to use with OpenSearch
:param log_query: Whether to log the query used for OpenSearch
"""
[docs] conn_name_attr = "opensearch_conn_id"
[docs] default_conn_name = "opensearch_default"
[docs] conn_type = "opensearch"
[docs] hook_name = "OpenSearch Hook"
def __init__(self, open_search_conn_id: str, log_query: bool, **kwargs: Any):
super().__init__(**kwargs)
self.conn_id = open_search_conn_id
self.log_query = log_query
self.use_ssl = self.conn.extra_dejson.get("use_ssl", False)
self.verify_certs = self.conn.extra_dejson.get("verify_certs", False)
self.__SERVICE = "es"
@cached_property
[docs] def conn(self):
return self.get_connection(self.conn_id)
@cached_property
[docs] def client(self) -> OpenSearch:
"""This function is intended for Operators that forward high level client objects."""
auth = (self.conn.login, self.conn.password)
client = OpenSearch(
hosts=[{"host": self.conn.host, "port": self.conn.port}],
http_auth=auth,
use_ssl=self.use_ssl,
verify_certs=self.verify_certs,
connection_class=RequestsHttpConnection,
)
return client
[docs] def search(self, query: dict, index_name: str, **kwargs: Any) -> Any:
"""
Run a search query against the connected OpenSearch cluster.
:param query: The query for the search against OpenSearch.
:param index_name: The name of the index to search against
"""
if self.log_query:
self.log.info("Searching %s with Query: %s", index_name, query)
return self.client.search(body=query, index=index_name, **kwargs)
[docs] def index(self, document: dict, index_name: str, doc_id: int, **kwargs: Any) -> Any:
"""
Index a document on OpenSearch.
:param document: A dictionary representation of the document
:param index_name: the name of the index that this document will be associated with
:param doc_id: the numerical identifier that will be used to identify the document on the index.
"""
return self.client.index(index=index_name, id=doc_id, body=document, **kwargs)
[docs] def delete(self, index_name: str, query: dict | None = None, doc_id: int | None = None) -> Any:
"""
Delete from an index by either a query or by the document id.
:param index_name: the name of the index to delete from
:param query: If deleting by query a dict representation of the query to run to
identify documents to delete.
:param doc_id: The identifier of the document to delete.
"""
if query is not None:
if self.log_query:
self.log.info("Deleting from %s using Query: %s", index_name, query)
return self.client.delete_by_query(index=index_name, body=query)
elif doc_id is not None:
return self.client.delete(index=index_name, id=doc_id)
raise AirflowException(
"To delete a document you must include one of either a query or a document id."
)
@classmethod
[docs] def get_ui_field_behaviour(cls) -> dict[str, Any]:
"""Return custom UI field behaviour for OpenSearch Connection."""
return {
"hidden_fields": ["schema"],
"relabeling": {
"extra": "OpenSearch Configuration",
},
"placeholders": {
"extra": json.dumps(
{"use_ssl": True, "verify_certs": True},
indent=2,
),
},
}
