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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

153 lines
4.0 KiB
Python

"""WeatherAssistant Agent main script.
This script demonstrates OAuth2 client credentials flow using a practical
weather assistant agent with AuthenticatedFunctionTool.
"""
# Copyright 2026 Google LLC
#
# Licensed 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.
import argparse
import asyncio
import logging
import sys
import time
import agent
from dotenv import load_dotenv
from google.adk.cli.utils import logs
from google.adk.runners import InMemoryRunner
APP_NAME = "weather_assistant_app"
USER_ID = "weather_user"
logs.setup_adk_logger(level=logging.INFO)
def process_arguments():
"""Parses command-line arguments."""
parser = argparse.ArgumentParser(
description=(
"WeatherAssistant Agent - demonstrates OAuth2 client credentials"
" authentication transparently through weather queries."
),
epilog=(
"Example usage:\n\tpython main.py"
' "What\'s the weather in Tokyo?"\n\n'
"For interactive usage, use ADK commands:\n"
"\tadk run .\n"
"\tadk web .\n"
),
formatter_class=argparse.RawTextHelpFormatter,
)
parser.add_argument(
"message",
type=str,
help=(
"Ask the weather assistant a question or request weather information."
),
)
return parser.parse_args()
async def process_message(runner, session_id, message):
"""Process a single message with the weather assistant."""
print(f"🌤️ Weather Assistant: ")
response = await call_agent_async(runner, USER_ID, session_id, message)
print(f"{response}\n")
async def call_agent_async(runner, user_id, session_id, prompt):
"""Helper function to call agent asynchronously."""
from google.adk.agents.run_config import RunConfig
from google.genai import types
content = types.Content(
role="user", parts=[types.Part.from_text(text=prompt)]
)
final_response_text = ""
async for event in runner.run_async(
user_id=user_id,
session_id=session_id,
new_message=content,
run_config=RunConfig(save_input_blobs_as_artifacts=False),
):
if event.content and event.content.parts:
if text := "".join(part.text or "" for part in event.content.parts):
if event.author != "user":
final_response_text += text
return final_response_text
async def main():
"""Main function."""
# Load environment variables from .env file
load_dotenv()
args = process_arguments()
print("🌤️ WeatherAssistant Agent")
print("=" * 40)
print("Ask me about weather in any city around the world!")
print("(OAuth2 client credentials authentication happens transparently)\n")
# Create runner and session
runner = InMemoryRunner(
agent=agent.root_agent,
app_name=APP_NAME,
)
session = await runner.session_service.create_session(
app_name=APP_NAME, user_id=USER_ID
)
try:
await process_message(runner, session.id, args.message)
except Exception as e:
print(f"❌ Error: {e}", file=sys.stderr)
return 1
return 0
if __name__ == "__main__":
start_time = time.time()
print(
"⏰ Started at"
f" {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(start_time))}"
)
print("-" * 50)
try:
exit_code = asyncio.run(main())
except KeyboardInterrupt:
print("\n⏹️ Interrupted by user")
exit_code = 1
end_time = time.time()
print("-" * 50)
print(
"⏰ Finished at"
f" {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(end_time))}"
)
print(f"⌛ Total execution time: {end_time - start_time:.2f} seconds")
sys.exit(exit_code)