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ASHISH JOHNSON
df4874441a
* fix: applied `await` on the `session_service.create_session()` call * added license to the code --------- Co-authored-by: Sita Lakshmi Sangameswaran <sitalakshmi@google.com>
98 lines
4.2 KiB
Python
98 lines
4.2 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 asyncio
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from google.adk.agents import Agent
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from google.adk.tools import FunctionTool
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from google.adk.runners import Runner
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from google.adk.sessions import InMemorySessionService
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from google.genai import types
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APP_NAME="weather_sentiment_agent"
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USER_ID="user1234"
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SESSION_ID="1234"
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MODEL_ID="gemini-2.0-flash"
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# Tool 1
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def get_weather_report(city: str) -> dict:
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"""Retrieves the current weather report for a specified city.
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Returns:
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dict: A dictionary containing the weather information with a 'status' key ('success' or 'error') and a 'report' key with the weather details if successful, or an 'error_message' if an error occurred.
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"""
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if city.lower() == "london":
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return {"status": "success", "report": "The current weather in London is cloudy with a temperature of 18 degrees Celsius and a chance of rain."}
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elif city.lower() == "paris":
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return {"status": "success", "report": "The weather in Paris is sunny with a temperature of 25 degrees Celsius."}
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else:
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return {"status": "error", "error_message": f"Weather information for '{city}' is not available."}
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weather_tool = FunctionTool(func=get_weather_report)
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# Tool 2
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def analyze_sentiment(text: str) -> dict:
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"""Analyzes the sentiment of the given text.
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Returns:
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dict: A dictionary with 'sentiment' ('positive', 'negative', or 'neutral') and a 'confidence' score.
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"""
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if "good" in text.lower() or "sunny" in text.lower():
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return {"sentiment": "positive", "confidence": 0.8}
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elif "rain" in text.lower() or "bad" in text.lower():
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return {"sentiment": "negative", "confidence": 0.7}
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else:
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return {"sentiment": "neutral", "confidence": 0.6}
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sentiment_tool = FunctionTool(func=analyze_sentiment)
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# Agent
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weather_sentiment_agent = Agent(
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model=MODEL_ID,
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name='weather_sentiment_agent',
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instruction="""You are a helpful assistant that provides weather information and analyzes the sentiment of user feedback.
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**If the user asks about the weather in a specific city, use the 'get_weather_report' tool to retrieve the weather details.**
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**If the 'get_weather_report' tool returns a 'success' status, provide the weather report to the user.**
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**If the 'get_weather_report' tool returns an 'error' status, inform the user that the weather information for the specified city is not available and ask if they have another city in mind.**
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**After providing a weather report, if the user gives feedback on the weather (e.g., 'That's good' or 'I don't like rain'), use the 'analyze_sentiment' tool to understand their sentiment.** Then, briefly acknowledge their sentiment.
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You can handle these tasks sequentially if needed.""",
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tools=[weather_tool, sentiment_tool]
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)
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async def main():
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"""Main function to run the agent asynchronously."""
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# Session and Runner Setup
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session_service = InMemorySessionService()
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# Use 'await' to correctly create the session
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await session_service.create_session(app_name=APP_NAME, user_id=USER_ID, session_id=SESSION_ID)
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runner = Runner(agent=weather_sentiment_agent, app_name=APP_NAME, session_service=session_service)
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# Agent Interaction
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query = "weather in london?"
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print(f"User Query: {query}")
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content = types.Content(role='user', parts=[types.Part(text=query)])
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# The runner's run method handles the async loop internally
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events = runner.run(user_id=USER_ID, session_id=SESSION_ID, new_message=content)
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for event in events:
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if event.is_final_response():
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final_response = event.content.parts[0].text
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print("Agent Response:", final_response)
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# Standard way to run the main async function
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if __name__ == "__main__":
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asyncio.run(main()) |