Source code for tests.system.databricks.example_databricks_unity_mcp

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"""
Example Dag giving an agent the tools of a Unity Gateway MCP Service.

Needs a Databricks connection whose identity has EXECUTE on the MCP Service and USE CATALOG and
USE SCHEMA on its catalog and schema, an LLM connection for the agent, and these environment
variables:

- ``UNITY_MCP_SERVICE``: the service's three-level name, ``catalog.schema.service``.
- ``UNITY_MCP_READ_ONLY_TOOL``: the name of one of its tools that only reads, which the agent calls
  once.
"""

from __future__ import annotations

import os
from datetime import datetime

from airflow.providers.common.ai.operators.agent import AgentOperator
from airflow.providers.common.compat.sdk import DAG
from airflow.providers.databricks.toolsets.unity_mcp import DatabricksUnityMCPToolset


[docs]
DAG_ID = "example_databricks_unity_mcp"


[docs]
UNITY_MCP_SERVICE = os.environ.get("UNITY_MCP_SERVICE", "main.default.my_mcp_service")


[docs]
UNITY_MCP_READ_ONLY_TOOL = os.environ.get("UNITY_MCP_READ_ONLY_TOOL", "my_read_only_tool")


with DAG(
    dag_id=DAG_ID,
    schedule=None,
    start_date=datetime(2021, 1, 1),
    tags=["example"],
    catchup=False,
) as dag:
    # [START howto_toolset_databricks_unity_mcp]

[docs]
    ask_unity_mcp_service = AgentOperator(
        task_id="ask_unity_mcp_service",
        prompt=(
            "List the names of the tools you have. Then call the "
            f"{UNITY_MCP_READ_ONLY_TOOL} tool once and summarize what it returned."
        ),
        llm_conn_id="pydanticai_default",
        toolsets=[
            DatabricksUnityMCPToolset(UNITY_MCP_SERVICE, databricks_conn_id="databricks_default"),
        ],
    )

    # [END howto_toolset_databricks_unity_mcp]

    from tests_common.test_utils.watcher import watcher

    list(dag.tasks) >> watcher()

from tests_common.test_utils.system_tests import get_test_run  # noqa: E402


[docs]
test_run = get_test_run(dag)