import asyncio
import random

import numpy as np

from agents import Agent, function_tool
from agents.extensions.handoff_prompt import prompt_with_handoff_instructions
from agents.voice import (
    AudioInput,
    SingleAgentVoiceWorkflow,
    SingleAgentWorkflowCallbacks,
    VoicePipeline,
)

from .util import AudioPlayer, record_audio

"""
This is a simple example that uses a recorded audio buffer. Run it via:
`python -m examples.voice.static.main`

1. You can record an audio clip in the terminal.
2. The pipeline automatically transcribes the audio.
3. The agent workflow is a simple one that starts at the Assistant agent.
4. The output of the agent is streamed to the audio player.

Try examples like:
- Tell me a joke (will respond with a joke)
- What's the weather in Tokyo? (will call the `get_weather` tool and then speak)
- Hola, como estas? (will handoff to the spanish agent)
"""


@function_tool
def get_weather(city: str) -> str:
    """Get the weather for a given city."""
    print(f"[debug] get_weather called with city: {city}")
    choices = ["sunny", "cloudy", "rainy", "snowy"]
    return f"The weather in {city} is {random.choice(choices)}."


spanish_agent = Agent(
    name="Spanish",
    handoff_description="A spanish speaking agent.",
    instructions=prompt_with_handoff_instructions(
        "You're speaking to a human, so be polite and concise. Speak in Spanish.",
    ),
    model="gpt-5-mini",
)

agent = Agent(
    name="Assistant",
    instructions=prompt_with_handoff_instructions(
        "You're speaking to a human, so be polite and concise. If the user speaks in Spanish, handoff to the spanish agent.",
    ),
    model="gpt-5-mini",
    handoffs=[spanish_agent],
    tools=[get_weather],
)


class WorkflowCallbacks(SingleAgentWorkflowCallbacks):
    def on_run(self, workflow: SingleAgentVoiceWorkflow, transcription: str) -> None:
        print(f"[debug] on_run called with transcription: {transcription}")


async def main():
    pipeline = VoicePipeline(
        workflow=SingleAgentVoiceWorkflow(agent, callbacks=WorkflowCallbacks())
    )

    audio_input = AudioInput(buffer=record_audio())

    result = await pipeline.run(audio_input)

    with AudioPlayer() as player:
        async for event in result.stream():
            if event.type == "voice_stream_event_audio":
                player.add_audio(event.data)
                print("Received audio")
            elif event.type == "voice_stream_event_lifecycle":
                print(f"Received lifecycle event: {event.event}")

        # Add 1 second of silence to the end of the stream to avoid cutting off the last audio.
        player.add_audio(np.zeros(24000 * 1, dtype=np.int16))


if __name__ == "__main__":
    asyncio.run(main())
