Source code for airflow.providers.common.ai.example_dags.example_datafusion_toolset
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"""Example Dag: an agent that runs read-only SQL over two registered tables of files on S3."""
from __future__ import annotations
from airflow.providers.common.ai.operators.agent import AgentOperator
from airflow.providers.common.compat.sdk import dag
try:
from airflow.providers.common.ai.toolsets.datafusion import DataFusionToolset
from airflow.providers.common.sql.config import DataSourceConfig
except Exception:
if DataFusionToolset is not None:
# [START howto_toolset_datafusion_restricted]
@dag(tags=["example"])
[docs]
def example_datafusion_toolset_restricted():
AgentOperator(
task_id="returns_by_region",
prompt="Which region had the highest return rate in September?",
llm_conn_id="pydanticai_default",
toolsets=[
DataFusionToolset(
# Register only what the agent may query: there is no other allow-list.
datasource_configs=[
DataSourceConfig(
conn_id="aws_reports_reader",
table_name="sales",
uri="s3://acme-reports/finance/sales/",
format="parquet",
),
DataSourceConfig(
conn_id="aws_reports_reader",
table_name="returns",
uri="s3://acme-reports/finance/returns/",
format="csv",
),
],
# The default: allow only SELECT-family statements.
allow_writes=False,
# Return at most 100 rows and 32 KiB from one query.
max_rows=100,
max_result_bytes=32 * 1024,
# Summarize a table wider than 50 columns instead of listing every column.
max_columns=50,
# Let the model correct a refused query, or one naming an unknown table or
# column, up to 3 times.
max_retries=3,
)
],
)
# [END howto_toolset_datafusion_restricted]
example_datafusion_toolset_restricted()