import json
import os
import threading
import time
from difflib import SequenceMatcher
from typing import Generator

import pytest
from fastapi import WebSocketDisconnect
from fastapi.testclient import TestClient
from starlette.testclient import WebSocketTestSession

from speaches.config import BYTES_PER_SECOND
from speaches.main import app
from speaches.server_models import TranscriptionVerboseResponse

SIMILARITY_THRESHOLD = 0.97


@pytest.fixture()
def client() -> Generator[TestClient, None, None]:
    with TestClient(app) as client:
        yield client


def get_audio_file_paths():
    file_paths = []
    directory = "tests/data"
    for filename in reversed(os.listdir(directory)[5:6]):
        if filename.endswith(".raw"):
            file_paths.append(os.path.join(directory, filename))
    return file_paths


file_paths = get_audio_file_paths()


def stream_audio_data(
    ws: WebSocketTestSession, data: bytes, *, chunk_size: int = 4000, speed: float = 1.0
):
    for i in range(0, len(data), chunk_size):
        ws.send_bytes(data[i : i + chunk_size])
        delay = len(data[i : i + chunk_size]) / BYTES_PER_SECOND / speed
        time.sleep(delay)


def transcribe_audio_data(
    client: TestClient, data: bytes
) -> TranscriptionVerboseResponse:
    response = client.post(
        "/v1/audio/transcriptions?response_format=verbose_json",
        files={"file": ("audio.raw", data, "audio/raw")},
    )
    data = json.loads(response.json())  # TODO: figure this out
    return TranscriptionVerboseResponse(**data)  # type: ignore


@pytest.mark.parametrize("file_path", file_paths)
def test_ws_audio_transcriptions(client: TestClient, file_path: str):
    with open(file_path, "rb") as file:
        data = file.read()
        streaming_transcription: TranscriptionVerboseResponse = None  # type: ignore
        with client.websocket_connect(
            "/v1/audio/transcriptions?response_format=verbose_json"
        ) as ws:
            thread = threading.Thread(
                target=stream_audio_data, args=(ws, data), kwargs={"speed": 4.0}
            )
            thread.start()
            while True:
                try:
                    streaming_transcription = TranscriptionVerboseResponse(
                        **ws.receive_json()
                    )
                except WebSocketDisconnect:
                    break
            ws.close()
        file_transcription = transcribe_audio_data(client, data)
        s = SequenceMatcher(
            lambda x: x == " ", file_transcription.text, streaming_transcription.text
        )
        assert (
            s.ratio() > SIMILARITY_THRESHOLD
        ), f"\nExpected: {file_transcription.text}\nReceived: {streaming_transcription.text}"