from collections.abc import Generator
import json
import os
import time

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

from faster_whisper_server.config import BYTES_PER_SECOND
from faster_whisper_server.server_models import TranscriptionVerboseJsonResponse

SIMILARITY_THRESHOLD = 0.97
AUDIO_FILES_LIMIT = 5
AUDIO_FILE_DIR = "tests/data"
TRANSCRIBE_ENDPOINT = "/v1/audio/transcriptions?response_format=verbose_json"


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


def get_audio_file_paths() -> list[str]:
    file_paths: list[str] = []
    directory = "tests/data"
    for filename in sorted(os.listdir(directory)[:AUDIO_FILES_LIMIT]):
        file_paths.append(os.path.join(directory, filename))  # noqa: PERF401
    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) -> None:
    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) -> TranscriptionVerboseJsonResponse:
    response = client.post(
        TRANSCRIBE_ENDPOINT,
        files={"file": ("audio.raw", data, "audio/raw")},
    )
    data = json.loads(response.json())  # TODO: figure this out
    return TranscriptionVerboseJsonResponse(**data)  # pyright: ignore[reportCallIssue]


# @pytest.mark.parametrize("file_path", file_paths)
# def test_ws_audio_transcriptions(
#     client: TestClient, ws: WebSocketTestSession, file_path: str
# ):
#     with open(file_path, "rb") as file:
#         data = file.read()
#
#     streaming_transcription: TranscriptionVerboseJsonResponse = None  # type: ignore  # noqa: PGH003
#     thread = threading.Thread(
#         target=stream_audio_data, args=(ws, data), kwargs={"speed": 4.0}
#     )
#     thread.start()
#     while True:
#         try:
#             streaming_transcription = TranscriptionVerboseJsonResponse(
#                 **ws.receive_json()
#             )
#         except WebSocketDisconnect:
#             break
#     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}"