Source code for tests.system.providers.weaviate.example_weaviate_vectorizer_dag

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from __future__ import annotations

import pendulum

from airflow.decorators import dag, setup, task, teardown
from airflow.providers.weaviate.operators.weaviate import WeaviateIngestOperator

[docs]class_name = "Weaviate_with_vectorizer_example_class"


@dag(
    schedule=None,
    start_date=pendulum.datetime(2021, 1, 1, tz="UTC"),
    catchup=False,
    tags=["example", "weaviate"],
)
[docs]def example_weaviate_vectorizer_dag():
    """
    Example DAG which uses WeaviateIngestOperator to insert embeddings to Weaviate with vectorizer and then query to verify the response .
    """

    @setup
    @task
    def create_weaviate_class():
        """
        Example task to create class without any Vectorizer. You're expected to provide custom vectors for your data.
        """
        from airflow.providers.weaviate.hooks.weaviate import WeaviateHook

        weaviate_hook = WeaviateHook()
        # Class definition object. Weaviate's autoschema feature will infer properties when importing.
        class_obj = {
            "class": class_name,
            "vectorizer": "text2vec-openai",
        }
        weaviate_hook.create_class(class_obj)

    @setup
    @task
    def get_data_to_ingest():
        import json
        from pathlib import Path

        data = json.load(Path("jeopardy_data_without_vectors.json").open())
        return data

    data_to_ingest = get_data_to_ingest()

    perform_ingestion = WeaviateIngestOperator(
        task_id="perform_ingestion",
        conn_id="weaviate_default",
        class_name=class_name,
        input_data=data_to_ingest["return_value"],
    )

    @task
    def query_weaviate():
        from airflow.providers.weaviate.hooks.weaviate import WeaviateHook

        weaviate_hook = WeaviateHook()
        properties = ["question", "answer", "category"]
        response = weaviate_hook.query_without_vector(
            "biology", "Weaviate_with_vectorizer_example_class", *properties
        )
        assert "In 1953 Watson & Crick built a model" in response["data"]["Get"][class_name][0]["question"]

    @teardown
    @task
    def delete_weaviate_class():
        """
        Example task to delete a weaviate class
        """
        from airflow.providers.weaviate.hooks.weaviate import WeaviateHook

        weaviate_hook = WeaviateHook()
        # Class definition object. Weaviate's autoschema feature will infer properties when importing.

        weaviate_hook.delete_classes([class_name])

    delete_weaviate_class = delete_weaviate_class()
    create_weaviate_class() >> perform_ingestion >> query_weaviate() >> delete_weaviate_class


example_weaviate_vectorizer_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)