mirror of
https://github.com/EvolutionAPI/adk-python.git
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79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from dotenv import load_dotenv
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from google.adk import Agent
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from google.adk.tools.google_api_tool import bigquery_tool_set
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# Load environment variables from .env file
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load_dotenv()
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# Access the variable
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oauth_client_id = os.getenv("OAUTH_CLIENT_ID")
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oauth_client_secret = os.getenv("OAUTH_CLIENT_SECRET")
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bigquery_tool_set.configure_auth(oauth_client_id, oauth_client_secret)
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tools_to_expose = [
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"bigquery_datasets_list",
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"bigquery_datasets_get",
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"bigquery_datasets_insert",
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"bigquery_tables_list",
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"bigquery_tables_get",
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"bigquery_tables_insert",
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]
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bigquery_tool_set.set_tool_filter(
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lambda tool, ctx=None: tool.name in tools_to_expose
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)
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root_agent = Agent(
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model="gemini-2.0-flash",
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name="bigquery_agent",
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instruction="""
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You are a helpful Google BigQuery agent that help to manage users' data on Goolge BigQuery.
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Use the provided tools to conduct various operations on users' data in Google BigQuery.
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Scenario 1:
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The user wants to query their biguqery datasets
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Use bigquery_datasets_list to query user's datasets
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Scenario 2:
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The user wants to query the details of a specific dataset
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Use bigquery_datasets_get to get a dataset's details
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Scenario 3:
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The user wants to create a new dataset
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Use bigquery_datasets_insert to create a new dataset
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Scenario 4:
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The user wants to query their tables in a specific dataset
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Use bigquery_tables_list to list all tables in a dataset
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Scenario 5:
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The user wants to query the details of a specific table
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Use bigquery_tables_get to get a table's details
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Scenario 6:
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The user wants to insert a new table into a dataset
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Use bigquery_tables_insert to insert a new table into a dataset
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Current user:
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<User>
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{userInfo?}
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</User>
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""",
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tools=[bigquery_tool_set],
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)
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