# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project

import asyncio
import json
import warnings

import librosa
import numpy as np
import pybase64 as base64
import pytest
import websockets

from tests.entrypoints.openai.conftest import add_attention_backend
from tests.utils import ROCM_ENV_OVERRIDES, ROCM_EXTRA_ARGS, RemoteOpenAIServer
from vllm.assets.audio import AudioAsset

MISTRAL_FORMAT_ARGS = [
    "--tokenizer_mode",
    "mistral",
    "--config_format",
    "mistral",
    "--load_format",
    "mistral",
] + ROCM_EXTRA_ARGS

MODEL_NAME = "mistralai/Voxtral-Mini-4B-Realtime-2602"


def _get_websocket_url(server: RemoteOpenAIServer) -> str:
    """Convert HTTP URL to WebSocket URL for realtime endpoint."""
    http_url = server.url_root
    ws_url = http_url.replace("http://", "ws://")
    return f"{ws_url}/v1/realtime"


async def receive_event(ws, timeout: float = 60.0) -> dict:
    """Receive and parse JSON event from WebSocket."""
    message = await asyncio.wait_for(ws.recv(), timeout=timeout)
    return json.loads(message)


async def send_event(ws, event: dict) -> None:
    """Send JSON event to WebSocket."""
    await ws.send(json.dumps(event))


@pytest.fixture
def mary_had_lamb_audio_chunks() -> list[str]:
    """Audio split into ~1 second chunks for streaming."""
    path = AudioAsset("mary_had_lamb").get_local_path()
    audio, _ = librosa.load(str(path), sr=16000, mono=True)

    # Split into ~0.1 second chunks (1600 samples at 16kHz)
    chunk_size = 1600
    chunks = []
    for i in range(0, len(audio), chunk_size):
        chunk = audio[i : i + chunk_size]
        chunk_int16 = (chunk * 32767).astype(np.int16)
        chunk_bytes = chunk_int16.tobytes()
        chunks.append(base64.b64encode(chunk_bytes).decode("utf-8"))

    return chunks


@pytest.mark.asyncio
@pytest.mark.parametrize("model_name", [MODEL_NAME])
async def test_multi_chunk_streaming(
    model_name, mary_had_lamb_audio_chunks, rocm_aiter_fa_attention
):
    """Test streaming multiple audio chunks before committing."""
    server_args = ["--enforce-eager", "--max-model-len", "2048"]

    if model_name.startswith("mistralai"):
        server_args += MISTRAL_FORMAT_ARGS

    add_attention_backend(server_args, rocm_aiter_fa_attention)

    with RemoteOpenAIServer(
        model_name, server_args, env_dict=ROCM_ENV_OVERRIDES
    ) as remote_server:
        ws_url = _get_websocket_url(remote_server)
        async with websockets.connect(ws_url) as ws:
            # Receive session.created
            event = await receive_event(ws, timeout=30.0)
            assert event["type"] == "session.created"

            await send_event(ws, {"type": "session.update", "model": model_name})

            # Wait for the server to acknowledge the session update.
            try:
                while True:
                    event = await receive_event(ws, timeout=5.0)
                    if event["type"] == "session.updated":
                        break
            except TimeoutError:
                warnings.warn(
                    f"session.updated not received within {5.0}s after "
                    "session.update. The server may not implement this event.",
                    stacklevel=2,
                )

            # (ROCm) Warm-up: send a non-final commit (required to start
            # transcription) with a small audio chunk to trigger aiter
            # compilation on first use.
            await send_event(ws, {"type": "input_audio_buffer.commit"})
            await send_event(
                ws,
                {
                    "type": "input_audio_buffer.append",
                    "audio": mary_had_lamb_audio_chunks[0],
                },
            )
            await send_event(ws, {"type": "input_audio_buffer.commit", "final": True})

            # (ROCm) Drain all warm-up responses with generous timeout for
            # JIT compilation
            warmup_done = False
            while not warmup_done:
                event = await receive_event(ws, timeout=600.0)
                if event["type"] in ("transcription.done", "error"):
                    warmup_done = True

            # Now send the real test audio
            await send_event(ws, {"type": "input_audio_buffer.commit"})

            # Send multiple audio chunks
            for chunk in mary_had_lamb_audio_chunks:
                await send_event(
                    ws, {"type": "input_audio_buffer.append", "audio": chunk}
                )

            # Send commit to end
            await send_event(ws, {"type": "input_audio_buffer.commit", "final": True})

            # Collect transcription deltas
            full_text = ""
            done_received = False

            while not done_received:
                event = await receive_event(ws, timeout=60.0)

                if event["type"] == "transcription.delta":
                    full_text += event["delta"]
                elif event["type"] == "transcription.done":
                    done_received = True
                    assert "text" in event
                elif event["type"] == "error":
                    pytest.fail(f"Received error: {event}")

            # Verify transcription contains expected content
            assert event["type"] == "transcription.done"
            assert event["text"] == full_text
            assert full_text == (
                " First words I spoke in the original phonograph."
                " A little piece of practical poetry. Mary had a little lamb,"
                " it sleeps with quite a flow, and everywhere that Mary went,"
                " the lamb was sure to go."
            )


@pytest.mark.asyncio
@pytest.mark.parametrize("model_name", [MODEL_NAME])
async def test_empty_commit_does_not_crash_engine(
    model_name, mary_had_lamb_audio_chunks, rocm_aiter_fa_attention
):
    """Test that committing without audio does not crash the engine.

    Regression test for https://github.com/vllm-project/vllm/issues/34532.
    An empty commit (no prior input_audio_buffer.append) used to trigger
    ``AssertionError: For realtime you must provide a multimodal_embedding
    at every step`` which killed the entire engine process, disconnecting
    every connected client.
    """
    server_args = ["--enforce-eager", "--max-model-len", "2048"]

    if model_name.startswith("mistralai"):
        server_args += MISTRAL_FORMAT_ARGS

    add_attention_backend(server_args, rocm_aiter_fa_attention)

    with RemoteOpenAIServer(
        model_name, server_args, env_dict=ROCM_ENV_OVERRIDES
    ) as remote_server:
        ws_url = _get_websocket_url(remote_server)

        # --- First connection: empty commit (no audio appended) ----------
        async with websockets.connect(ws_url) as ws:
            event = await receive_event(ws, timeout=30.0)
            assert event["type"] == "session.created"

            await send_event(ws, {"type": "session.update", "model": model_name})

            try:
                while True:
                    event = await receive_event(ws, timeout=5.0)
                    if event["type"] == "session.updated":
                        break
            except TimeoutError:
                warnings.warn(
                    f"session.updated not received within {5.0}s after "
                    "session.update. The server may not implement this event.",
                    stacklevel=2,
                )

            # Start generation without sending any audio
            await send_event(ws, {"type": "input_audio_buffer.commit"})

            # Immediately signal end-of-audio
            await send_event(ws, {"type": "input_audio_buffer.commit", "final": True})

            # We should get *some* response (error or empty transcription),
            # but the engine must NOT crash.
            # (ROCm) Use generous timeout for first request (aiter JIT compilation)
            event = await receive_event(ws, timeout=360.0)
            assert event["type"] in (
                "error",
                "transcription.done",
                "transcription.delta",
            )

        # --- Second connection: normal transcription ---------------------
        # Verifies the engine is still alive after the empty commit above.
        async with websockets.connect(ws_url) as ws:
            event = await receive_event(ws, timeout=30.0)
            assert event["type"] == "session.created"

            await send_event(ws, {"type": "session.update", "model": model_name})

            try:
                while True:
                    event = await receive_event(ws, timeout=5.0)
                    if event["type"] == "session.updated":
                        break
            except TimeoutError:
                warnings.warn(
                    f"session.updated not received within {5.0}s after "
                    "session.update. The server may not implement this event.",
                    stacklevel=2,
                )

            # Start transcription
            await send_event(ws, {"type": "input_audio_buffer.commit"})

            for chunk in mary_had_lamb_audio_chunks:
                await send_event(
                    ws, {"type": "input_audio_buffer.append", "audio": chunk}
                )

            await send_event(ws, {"type": "input_audio_buffer.commit", "final": True})

            done_received = False
            while not done_received:
                event = await receive_event(ws, timeout=60.0)
                if event["type"] == "transcription.done":
                    done_received = True
                elif event["type"] == "error":
                    pytest.fail(f"Engine error after empty commit: {event}")
            assert done_received
