Source code for tests.system.providers.opensearch.example_opensearch

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# TODO: FIXME - therea are a number of typing issues in those opensearch examples and they should be fixed
# mypy: disable-error-code="call-arg,attr-defined"

from __future__ import annotations

from datetime import datetime, timedelta

from opensearchpy import Integer, Text
from opensearchpy.helpers.document import Document
from opensearchpy.helpers.search import Search

from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
from airflow.providers.opensearch.operators.opensearch import (
    OpenSearchAddDocumentOperator,
    OpenSearchCreateIndexOperator,
    OpenSearchQueryOperator,
)


[docs]DAG_ID = "example_opensearch"


[docs]INDEX_NAME = "example_index"



[docs]default_args = {
    "owner": "airflow",
    "depend_on_past": False,
    "email_on_failure": False,
    "email_on_retry": False,
    "retries": 1,
    "retry_delay": timedelta(minutes=5),
}




[docs]class LogDocument(Document):

[docs]    log_group_id = Integer()


[docs]    logger = Text()


[docs]    message = Text()



[docs]    class Index:

[docs]        name = INDEX_NAME



[docs]    def save(self, **kwargs):
        super().save(**kwargs)




[docs]def load_connections():
    # Connections needed for this example dag to finish
    from airflow.models import Connection
    from airflow.utils import db

    db.merge_conn(
        Connection(
            conn_id="opensearch_test", conn_type="opensearch", host="127.0.0.1", login="test", password="test"
        )
    )



with DAG(
    dag_id=DAG_ID,
    start_date=datetime(2021, 1, 1),
    schedule="@once",
    catchup=False,
    tags=["example"],
    default_args=default_args,
    description="Examples of OpenSearch Operators",
) as dag:
    # [START howto_operator_opensearch_create_index]

[docs]    create_index = OpenSearchCreateIndexOperator(
        task_id="create_index",
        index_name=INDEX_NAME,
        index_body={"settings": {"index": {"number_of_shards": 1}}},
    )

    # [END howto_operator_opensearch_create_index]

    # [START howto_operator_opensearch_add_document]
    add_document_by_args = OpenSearchAddDocumentOperator(
        task_id="add_document_with_args",
        index_name=INDEX_NAME,
        doc_id=1,
        document={"log_group_id": 1, "logger": "python", "message": "hello world"},
    )

    add_document_by_class = OpenSearchAddDocumentOperator(
        task_id="add_document_by_class",
        doc_class=LogDocument(log_group_id=2, logger="airflow", message="hello airflow"),
    )
    # [END howto_operator_opensearch_add_document]

    # [START howto_operator_opensearch_query]
    search_low_level = OpenSearchQueryOperator(
        task_id="low_level_query",
        index_name="system_test",
        query={"query": {"bool": {"must": {"match": {"message": "hello world"}}}}},
    )
    search = Search()
    search._index = [INDEX_NAME]
    search_object = search.filter("term", logger="airflow").query("match", message="hello airflow")

    search_high_level = OpenSearchQueryOperator(task_id="high_level_query", search_object=search_object)
    # [END howto_operator_opensearch_query]

    chain(create_index, add_document_by_class, add_document_by_args, search_high_level, search_low_level)

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()


from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)

[docs]test_run = get_test_run(dag)

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