Source code for tests.system.providers.pgvector.example_pgvector

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from __future__ import annotations

import pendulum

from airflow.decorators import dag, task
from airflow.providers.pgvector.hooks.pgvector import PgVectorHook
from airflow.providers.pgvector.operators.pgvector import PgVectorIngestOperator

[docs]TABLE_NAME = "my_table"
[docs]POSTGRES_CONN_ID = "postgres_default"
@dag( "example_pgvector_dag", schedule=None, start_date=pendulum.datetime(2021, 1, 1, tz="UTC"), catchup=False, tags=["example", "pgvector"], )
[docs]def example_pgvector_dag(): """Example pgvector DAG demonstrating usage of the PgVectorIngestOperator.""" @task() def create_postgres_objects(): """ Example task to create PostgreSQL objects including table and installing the vector extension using the PgVectorHook. """ pg_hook = PgVectorHook(postgres_conn_id=POSTGRES_CONN_ID) # Create a table columns = ["id SERIAL PRIMARY KEY", "name VARCHAR(255)", "value INTEGER", "vector_column vector(3)"] pg_hook.create_table(TABLE_NAME, columns) # Create vector extension extension_name = "vector" pg_hook.create_extension(extension_name) # [START howto_operator_pgvector_ingest] pgvector_ingest = PgVectorIngestOperator( task_id="pgvector_ingest", conn_id=POSTGRES_CONN_ID, sql=f"INSERT INTO {TABLE_NAME} (name, value, vector_column) " f"VALUES ('John Doe', 123, '[1.0, 2.0, 3.0]')", ) # [END howto_operator_pgvector_ingest] @task() def cleanup_postgres_objects(): """ Cleanup Postgres objects created in the earlier task. """ pg_hook = PgVectorHook(postgres_conn_id=POSTGRES_CONN_ID) pg_hook.truncate_table(TABLE_NAME) pg_hook.drop_table(TABLE_NAME) create_postgres_objects() >> pgvector_ingest >> cleanup_postgres_objects()
example_pgvector_dag() 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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