ahidalgob commented on code in PR #37500: URL: https://github.com/apache/airflow/pull/37500#discussion_r1500662411
########## tests/system/providers/google/cloud/vertex_ai/example_vertex_ai_generative_model.py: ########## @@ -0,0 +1,72 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +""" +Example Airflow DAG for Google Vertex AI Generative Model prompting. +""" +from __future__ import annotations + +import os +from datetime import datetime + +from airflow.models.dag import DAG +from airflow.providers.google.cloud.operators.vertex_ai.generative_model import ( + PromptLanguageModelOperator, + PromptMultimodalModelOperator, +) + +PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default") +DAG_ID = "example_vertex_ai_generative_model_dag" +REGION = "us-central1" +PROMPT = "In 10 words or less, why is Apache Airflow amazing?" +LANGUAGE_MODEL = "text-bison" +MULTIMODAL_MODAL = "gemini-pro" + +with DAG( + dag_id=DAG_ID, + description="Sample DAG with generative models.", + schedule="@once", + start_date=datetime(2024, 1, 1), + catchup=False, + tags=["example", "vertex_ai", "generative_model"], +) as dag: + # [START how_to_cloud_vertex_ai_prompt_language_model_operator] + prompt_language_model_task = PromptLanguageModelOperator( + task_id="prompt_language_model_task", + project_id=PROJECT_ID, + location=REGION, + prompt=PROMPT, + pretrained_model=LANGUAGE_MODEL, + ) + # [END how_to_cloud_vertex_ai_prompt_language_model_operator] + + # [START how_to_cloud_vertex_ai_prompt_multimodal_model_operator] + prompt_multimodal_model_task = PromptMultimodalModelOperator( + task_id="generative_model_task", + project_id=PROJECT_ID, + location=REGION, + prompt=PROMPT, + pretrained_model=MULTIMODAL_MODAL, + ) + # [END how_to_cloud_vertex_ai_prompt_multimodal_model_operator] + Review Comment: ```suggestion 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() ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
