# Copyright 2025 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.

from google.adk.agents import Agent
from google.adk.tools import FunctionTool
from google.adk.runners import Runner
from google.adk.sessions import InMemorySessionService
from google.adk.tools import ToolContext
from google.genai import types

APP_NAME="customer_support_agent"
USER_ID="user1234"
SESSION_ID="1234"


def check_and_transfer(query: str, tool_context: ToolContext) -> str:
    """Checks if the query requires escalation and transfers to another agent if needed."""
    if "urgent" in query.lower():
        print("Tool: Detected urgency, transferring to the support agent.")
        tool_context.actions.transfer_to_agent = "support_agent"
        return "Transferring to the support agent..."
    else:
        return f"Processed query: '{query}'. No further action needed."

escalation_tool = FunctionTool(func=check_and_transfer)

main_agent = Agent(
    model='gemini-2.0-flash',
    name='main_agent',
    instruction="""You are the first point of contact for customer support of an analytics tool. Answer general queries. If the user indicates urgency, use the 'escalation_tool' tool.""",
    tools=[escalation_tool]
)

support_agent = Agent(
    model='gemini-2.0-flash',
    name='support_agent',
    instruction="""You are the dedicated support agent. Mentioned you are a support handler and please help the user with their urgent issue."""
)

main_agent.sub_agents = [support_agent]

# Session and Runner
async def setup_session_and_runner():
    session_service = InMemorySessionService()
    session = await session_service.create_session(app_name=APP_NAME, user_id=USER_ID, session_id=SESSION_ID)
    runner = Runner(agent=main_agent, app_name=APP_NAME, session_service=session_service)
    return session, runner

# Agent Interaction
async def call_agent_async(query):
    content = types.Content(role='user', parts=[types.Part(text=query)])
    session, runner = await setup_session_and_runner()
    events = runner.run_async(user_id=USER_ID, session_id=SESSION_ID, new_message=content)

    async for event in events:
        if event.is_final_response():
            final_response = event.content.parts[0].text
            print("Agent Response: ", final_response)

# Note: In Colab, you can directly use 'await' at the top level.
# If running this code as a standalone Python script, you'll need to use asyncio.run() or manage the event loop.
await call_agent_async("this is urgent, i cant login")