"""
音频预处理服务

使用 ffprobe/ffmpeg 对上传音频做统一探测和规范化，降低长会议音频的格式兼容风险。
当前阶段只做单文件预处理，不做拆片。
"""
from __future__ import annotations

from dataclasses import dataclass
from pathlib import Path
from typing import Optional
import json
import shutil
import subprocess

from app.utils.audio_parser import get_audio_duration


@dataclass
class AudioMetadata:
    """音频元数据"""

    duration_seconds: int = 0
    sample_rate: Optional[int] = None
    channels: Optional[int] = None
    codec_name: Optional[str] = None
    format_name: Optional[str] = None
    bit_rate: Optional[int] = None


@dataclass
class AudioPreprocessResult:
    """音频预处理结果"""

    file_path: Path
    file_name: str
    file_size: int
    metadata: AudioMetadata
    applied: bool = False
    output_format: Optional[str] = None


class AudioPreprocessService:
    """基于 ffmpeg 的音频预处理服务"""

    TARGET_EXTENSION = ".m4a"
    TARGET_SAMPLE_RATE = 16000
    TARGET_CHANNELS = 1
    TARGET_BITRATE = "64k"

    def __init__(self):
        self.ffmpeg_path = shutil.which("ffmpeg")
        self.ffprobe_path = shutil.which("ffprobe")

    def probe_audio(self, file_path: str | Path) -> AudioMetadata:
        """
        使用 ffprobe 探测音频元数据。
        """
        path = Path(file_path)
        if not path.exists():
            raise FileNotFoundError(f"音频文件不存在: {path}")

        if self.ffprobe_path:
            metadata = self._probe_with_ffprobe(path)
            if metadata:
                return metadata

        return AudioMetadata(duration_seconds=get_audio_duration(str(path)))

    def preprocess(self, file_path: str | Path) -> AudioPreprocessResult:
        """
        预处理音频为统一格式。

        当前策略：
        1. 去除视频流，仅保留音频
        2. 统一单声道
        3. 统一采样率 16k
        4. 转为 m4a(aac)
        """
        source_path = Path(file_path)
        if not source_path.exists():
            raise FileNotFoundError(f"音频文件不存在: {source_path}")

        if not self.ffmpeg_path:
            metadata = self.probe_audio(source_path)
            return AudioPreprocessResult(
                file_path=source_path,
                file_name=source_path.name,
                file_size=source_path.stat().st_size,
                metadata=metadata,
                applied=False,
                output_format=source_path.suffix.lower().lstrip(".") or None,
            )

        output_path = source_path.with_name(f"{source_path.stem}_normalized{self.TARGET_EXTENSION}")
        temp_output_path = output_path.with_name(f"{output_path.stem}.tmp{output_path.suffix}")

        command = [
            self.ffmpeg_path,
            "-y",
            "-i",
            str(source_path),
            "-vn",
            "-ac",
            str(self.TARGET_CHANNELS),
            "-ar",
            str(self.TARGET_SAMPLE_RATE),
            "-c:a",
            "aac",
            "-b:a",
            self.TARGET_BITRATE,
            "-movflags",
            "+faststart",
            str(temp_output_path),
        ]

        try:
            completed = subprocess.run(
                command,
                check=False,
                capture_output=True,
                text=True,
            )
            if completed.returncode != 0:
                stderr = (completed.stderr or "").strip()
                raise RuntimeError(stderr or "ffmpeg 预处理失败")

            temp_output_path.replace(output_path)
            metadata = self.probe_audio(output_path)
            return AudioPreprocessResult(
                file_path=output_path,
                file_name=output_path.name,
                file_size=output_path.stat().st_size,
                metadata=metadata,
                applied=True,
                output_format=output_path.suffix.lower().lstrip("."),
            )
        finally:
            if temp_output_path.exists():
                temp_output_path.unlink()

    def _probe_with_ffprobe(self, file_path: Path) -> Optional[AudioMetadata]:
        command = [
            self.ffprobe_path,
            "-v",
            "error",
            "-print_format",
            "json",
            "-show_streams",
            "-show_format",
            str(file_path),
        ]

        try:
            completed = subprocess.run(
                command,
                check=False,
                capture_output=True,
                text=True,
            )
            if completed.returncode != 0 or not completed.stdout:
                return None

            payload = json.loads(completed.stdout)
            streams = payload.get("streams") or []
            audio_stream = next((stream for stream in streams if stream.get("codec_type") == "audio"), {})
            format_info = payload.get("format") or {}

            duration_value = audio_stream.get("duration") or format_info.get("duration")
            duration_seconds = int(float(duration_value)) if duration_value else 0

            sample_rate_value = audio_stream.get("sample_rate")
            channels_value = audio_stream.get("channels")
            bit_rate_value = audio_stream.get("bit_rate") or format_info.get("bit_rate")

            return AudioMetadata(
                duration_seconds=duration_seconds,
                sample_rate=int(sample_rate_value) if sample_rate_value else None,
                channels=int(channels_value) if channels_value else None,
                codec_name=audio_stream.get("codec_name"),
                format_name=format_info.get("format_name"),
                bit_rate=int(bit_rate_value) if bit_rate_value else None,
            )
        except Exception:
            return None


audio_preprocess_service = AudioPreprocessService()