import base64
import os
import time
from dataclasses import dataclass
from datetime import timedelta

import banana_dev as banana
import gradio as gr
from loguru import logger
from pydub import AudioSegment

api_key = os.environ["BANANA_API_KEY"]
model_key = os.environ["BANANA_MODEL_KEY"]
password = os.environ["PASSWORD"]

SECONDS_IN_HOUR = 3600
SECONDS_IN_MINUTE = 60
HOURS_IN_DAY = 24
MICROSECONDS_IN_MILLISECOND = 1000


def timedelta_to_srt_timestamp(timedelta_timestamp):
    r"""
    Convert a :py:class:`~datetime.timedelta` to an SRT timestamp.
    .. doctest::
        >>> import datetime
        >>> delta = datetime.timedelta(hours=1, minutes=23, seconds=4)
        >>> timedelta_to_srt_timestamp(delta)
        '01:23:04,000'
    :param datetime.timedelta timedelta_timestamp: A datetime to convert to an SRT timestamp
    :returns: The timestamp in SRT format
    :rtype: str
    """

    hrs, secs_remainder = divmod(timedelta_timestamp.seconds, SECONDS_IN_HOUR)
    hrs += timedelta_timestamp.days * HOURS_IN_DAY
    mins, secs = divmod(secs_remainder, SECONDS_IN_MINUTE)
    msecs = timedelta_timestamp.microseconds // MICROSECONDS_IN_MILLISECOND
    return "%02d:%02d:%02d,%03d" % (hrs, mins, secs, msecs)


def timedelta_to_otr_timestamp(timedelta_timestamp):
    output = timedelta_to_srt_timestamp(timedelta_timestamp)
    if output.startswith("00:"):
        output = output[3:]
    return output[:-4]


@dataclass
class Segment:
    text: str
    start: float
    end: float

    @property
    def start_ts(self) -> str:
        return timedelta_to_otr_timestamp(timedelta(seconds=self.start))

    @property
    def end_ts(self):
        return timedelta_to_otr_timestamp(timedelta(seconds=self.end))

    def __str__(self):
        return f"{self.start_ts} {self.text}"

    def to_otr(self):
        sep = " "
        return f'<p><span class="timestamp" data-timestamp="{self.start}">{self.start_ts}</span>{sep}{self.text}</p>'


def transcribe(audio=None, url=None):
    if audio:
        audio_b64 = base64.b64encode(audio.export().read()).decode("ascii")
        payload = {"audio_b64": audio_b64}
    else:
        payload = {"url": url}
    response = banana.run(api_key, model_key, payload)
    print(response)

    if "error" in response:
        raise gr.Error(response["error"])

    # TODO: not sure why response dict contains multiple model outputs
    return response["modelOutputs"][0]


def run_demo(password, microphone, file_upload):
    if password not in [os.environ["PASSWORD"], os.environ["ROOT_PASSWORD"]]:
        raise gr.Error("Der Zugriffscode ist falsch.")

    if (microphone is not None) and (file_upload is not None):
        logger.warning(
            "Achtung: Sie haben sowohl eine Datei hochgeladen als auch über das Mikrofon aufgenommen."
            " Wir verwenden nur die Datei, die Sie hochgeladen haben."
        )

    elif (microphone is None) and (file_upload is None):
        raise gr.Error(
            "Sie müssen entweder eine Datei hochladen oder über das Mikrofon aufnehmen."
        )

    file = microphone if microphone is not None else file_upload

    start = time.time()
    cutoff = None if password == os.environ["ROOT_PASSWORD"] else 60_000
    transcription = transcribe(AudioSegment.from_file(file)[:cutoff])

    segments = []

    for seg in transcription["segments"]:
        text = seg["text"].strip()
        if not segments or segments[-1].text[-1] in ".:?!":
            segments.append(Segment(text, seg["start"], seg["end"]))
        else:
            segments[-1].text += " " + text

    logger.info(f"transcription took {time.time()-start:.3f}s")
    return "\n\n".join(str(s) for s in segments)


demo = gr.Interface(
    fn=run_demo,
    inputs=[
        # gr.Textbox(label="Email", type="email"),
        gr.Textbox(label="Zugriffscode (siehe oben)"),
        gr.Audio(source="microphone", type="filepath", label="Aufnehmen"),
        gr.Audio(source="upload", type="filepath", label="Datei hochladen"),
    ],
    outputs=gr.Textbox(label="Automatisches Transkript"),
    allow_flagging="never",
    css="footer {visibility: hidden} .meta-text {visibility: hidden}",
)

demo.launch()