import os
import shutil
import logging
import numpy as np
from sqlalchemy import create_engine
from sqlalchemy.orm import Session

from .celery_app import celery_app
from ..config import settings
from ..models.tables import Video, Segment, Job, VideoStatus, JobStatus
from ..services.video_utils import build_output_path

logger = logging.getLogger(__name__)

engine = create_engine(settings.database_url.replace("+aiosqlite", ""))


def _get_sync_session():
    return Session(engine)


@celery_app.task(bind=True, name="app.tasks.generate.generate_audio")
def generate_audio(self, video_id: int, job_id: int = None):
    from ..services.tts import synthesize_segment, unload_model as unload_tts
    from ..services.mixer import mix_audio

    db = _get_sync_session()
    temp_files = []
    audio_dir = None
    try:
        video = db.query(Video).filter(Video.id == video_id).first()
        if not video:
            raise ValueError(f"Video {video_id} not found")

        video.status = VideoStatus.generating.value
        db.commit()

        if job_id:
            job = db.query(Job).filter(Job.id == job_id).first()
        else:
            job = Job(
                video_id=video_id, job_type="generate", status=JobStatus.running.value
            )
            db.add(job)
        db.commit()

        job.celery_task_id = self.request.id
        job.status = JobStatus.running.value
        db.commit()

        segments = (
            db.query(Segment)
            .filter(Segment.video_id == video_id)
            .order_by(Segment.start_time)
            .all()
        )

        total = len(segments)
        audio_dir = os.path.join(settings.temp_dir, f"tts_{video_id}")
        os.makedirs(audio_dir, exist_ok=True)

        speaker_refs = {}
        for seg in segments:
            if seg.speaker_label and seg.speaker_label not in speaker_refs:
                seg_audio_path = os.path.join(
                    settings.temp_dir,
                    f"ref_{video_id}_{seg.speaker_label.replace(' ', '_')}.wav",
                )
                temp_files.append(seg_audio_path)
                _extract_segment_audio(
                    video.filepath, seg.start_time, seg.end_time, seg_audio_path
                )
                speaker_refs[seg.speaker_label] = {
                    "audio_path": seg_audio_path,
                    "text": seg.english_text,
                }

        logger.info("Starting TTS for %d segments", total)
        segment_data = []
        for i, seg in enumerate(segments):
            ref = speaker_refs.get(seg.speaker_label, {})
            audio_bytes = synthesize_segment(
                text=seg.danish_text or seg.english_text or "",
                reference_audio_path=ref.get("audio_path"),
                reference_text=ref.get("text"),
                speaker_label=seg.speaker_label,
            )

            seg_audio_path = os.path.join(audio_dir, f"seg_{seg.id}.wav")
            with open(seg_audio_path, "wb") as f:
                f.write(audio_bytes)
            temp_files.append(seg_audio_path)

            import soundfile as sf

            danish_audio, sr = sf.read(seg_audio_path)
            if len(danish_audio.shape) > 1:
                danish_audio = danish_audio.mean(axis=1)
            if sr != 24000:
                import librosa

                danish_audio = librosa.resample(
                    danish_audio, orig_sr=sr, target_sr=24000
                )

            segment_data.append(
                {
                    "start_time": seg.start_time,
                    "end_time": seg.end_time,
                    "danish_audio": danish_audio.astype(np.float32),
                }
            )

            pct = (i + 1) / total * 0.9
            self.update_state(state="PROGRESS", meta={"progress": pct})
            job.progress = pct
            db.commit()

        logger.info("Mixing audio for video %d", video_id)
        output_path = build_output_path(video.filepath)
        mix_audio(video.filepath, segment_data, output_path)

        video.output_path = output_path
        video.status = VideoStatus.done.value
        job.status = JobStatus.done.value
        job.progress = 1.0
        db.commit()

        unload_tts()
        logger.info("Generation complete for video %d", video_id)
        return {"video_id": video_id, "output_path": output_path}

    except Exception as e:
        logger.error("Generation failed for video %d: %s", video_id, e, exc_info=True)
        video = db.query(Video).filter(Video.id == video_id).first()
        if video:
            video.status = VideoStatus.error.value
            video.error_message = str(e)
        if job_id:
            job = db.query(Job).filter(Job.id == job_id).first()
        else:
            job = (
                db.query(Job)
                .filter(Job.video_id == video_id, Job.job_type == "generate")
                .first()
            )
        if job:
            job.status = JobStatus.failed.value
            job.error_message = str(e)
        db.commit()
        raise

    finally:
        for f in temp_files:
            if os.path.exists(f):
                try:
                    os.remove(f)
                except OSError:
                    pass
        if audio_dir and os.path.exists(audio_dir):
            try:
                shutil.rmtree(audio_dir)
            except OSError:
                pass
        db.close()


def _extract_segment_audio(video_path: str, start: float, end: float, output_path: str):
    import subprocess

    duration = end - start
    cmd = [
        "ffmpeg",
        "-y",
        "-i",
        video_path,
        "-ss",
        str(start),
        "-t",
        str(duration),
        "-vn",
        "-acodec",
        "pcm_s16le",
        "-ar",
        "16000",
        "-ac",
        "1",
        output_path,
    ]
    subprocess.run(cmd, capture_output=True, check=True)