simple.py

# 凌霄智能影视翻译系统 - 极简免费版
# 无需 PyTorch/Whisper，仅使用免费组件
# pip install edge-tts soundfile pillow

import sys
import os
import tempfile
import subprocess
from pathlib import Path

# ========================
# 核心组件（内联版本）
# ========================

class SimpleTranslator:
    """极简翻译器 - 离线词典模式"""
    DICT = {
        "hello": "你好", "hi": "你好", "good": "好", "morning": "早上好",
        "welcome": "欢迎", "thank": "谢谢", "thanks": "谢谢", "you": "你",
        "world": "世界", "this": "这", "is": "是", "a": "一个", "test": "测试",
        "video": "视频", "translation": "翻译", "system": "系统", "ai": "人工智能",
        "how": "怎么", "are": "是", "what": "什么", "the": "的", "of": "的",
        "and": "和", "to": "到", "in": "在", "for": "为了", "with": "用",
        "please": "请", "sorry": "对不起", "yes": "是", "no": "不",
        "bye": "再见", "goodbye": "再见", "okay": "好的", "great": "太好了",
    }

    def translate(self, text, source_lang="auto", target_lang="zh"):
        words = text.lower().replace(".", " ").replace(",", " ").split()
        result = []
        for w in words:
            result.append(self.DICT.get(w, w))
        return " ".join(result)


class SimpleTTS:
    """Edge TTS 语音合成"""
    VOICE = "zh-CN-XiaoxiaoNeural"

    def synthesize(self, text, output_path):
        import asyncio
        edge_tts = __import__("edge_tts")

        async def run():
            communicate = edge_tts.Communicate(text, self.VOICE)
            await communicate.save(output_path)

        asyncio.run(run())


def find_ffmpeg():
    """查找 ffmpeg"""
    import shutil
    paths = [
        shutil.which("ffmpeg"),
        "/usr/local/bin/ffmpeg",
        "/opt/homebrew/bin/ffmpeg",
        "/Users/liuxiansheng/Library/Python/3.9/lib/python/site-packages/imageio_ffmpeg/binaries/ffmpeg-macos-aarch64-v7.1",
    ]
    for p in paths:
        if p and Path(p).exists():
            return p
    return None


def extract_audio(video_path, audio_path):
    """提取音频"""
    ffmpeg = find_ffmpeg()
    if not ffmpeg:
        raise RuntimeError("ffmpeg not found")

    cmd = [ffmpeg, "-i", str(video_path), "-vn", "-acodec", "pcm_s16le",
           "-ar", "16000", "-ac", "1", "-y", str(audio_path)]
    subprocess.run(cmd, check=True, capture_output=True)


def merge_audio_video(video_path, audio_path, output_path):
    """合并音视频"""
    ffmpeg = find_ffmpeg()
    if not ffmpeg:
        raise RuntimeError("ffmpeg not found")

    cmd = [ffmpeg, "-i", str(video_path), "-i", str(audio_path),
           "-c:v", "copy", "-c:a", "aac", "-b:a", "192k", "-y", str(output_path)]
    subprocess.run(cmd, check=True, capture_output=True)


def simple_translate_subtitle(srt_text, target_lang="zh"):
    """翻译 SRT 字幕"""
    import re
    translator = SimpleTranslator()
    lines = srt_text.split("\n")
    result = []
    for line in lines:
        # 保留时间轴
        if "-->" in line:
            result.append(line)
        else:
            # 翻译文本行
            translated = translator.translate(line.strip(), target_lang=target_lang)
            result.append(translated)
    return "\n".join(result)


def parse_srt_text(srt_text):
    """提取 SRT 中的文本"""
    import re
    pattern = re.compile(r"\d{2}:\d{2}:\d{2},\d{3} --> .+\n(.+)")
    return " ".join(pattern.findall(srt_text))


def process_video(input_video, output_video=None, target_lang="zh"):
    """处理单个视频"""
    input_path = Path(input_video)
    if not input_path.exists():
        return {"success": False, "error": f"文件不存在: {input_video}"}

    if not output_video:
        output_video = input_path.parent / f"{input_path.stem}_zh{input_path.suffix}"

    output_path = Path(output_video)
    output_path.parent.mkdir(parents=True, exist_ok=True)

    temp_dir = Path(tempfile.mkdtemp())
    audio_path = temp_dir / "audio.wav"
    tts_path = temp_dir / "tts.wav"
    merged_path = temp_dir / "merged.mp4"

    try:
        # 1. 提取音频
        print(f"  提取音频...")
        extract_audio(input_path, audio_path)

        # 2. 简单模拟 ASR（实际应该用 Whisper，这里用占位符）
        # 注意：极简版不包含 Whisper，需要完整版
        print(f"  [需要完整版 Whisper 来识别语音]")
        print(f"  使用占位符文本演示...")

        # 生成测试字幕
        srt_content = """1
00:00:00,000 --> 00:00:05,000
Hello world, welcome to the AI translation system.

2
00:00:05,000 --> 00:00:10,000
This is a test video for translation.
"""

        # 3. 翻译
        print(f"  翻译字幕...")
        translated = simple_translate_subtitle(srt_content, target_lang)
        print(f"  翻译结果: {translated[:80]}...")

        # 4. TTS
        print(f"  生成配音...")
        tts = SimpleTTS()
        text = parse_srt_text(translated)
        tts.synthesize(text[:200], tts_path)

        # 5. 合并
        print(f"  合并视频...")
        merge_audio_video(input_path, tts_path, merged_path)

        # 复制到输出
        import shutil
        shutil.copy(merged_path, output_path)

        return {"success": True, "output": str(output_path)}

    except Exception as e:
        return {"success": False, "error": str(e)}
    finally:
        # 清理
        import shutil
        shutil.rmtree(temp_dir, ignore_errors=True)


# ========================
# CLI 入口
# ========================

def main():
    import argparse

    parser = argparse.ArgumentParser(description="凌霄智能影视翻译系统 - 极简版")
    parser.add_argument("input", help="输入视频")
    parser.add_argument("-o", "--output", help="输出视频")
    parser.add_argument("-t", "--target", default="zh", help="目标语言 (默认: zh)")

    args = parser.parse_args()

    print("=" * 50)
    print("  凌霄智能影视翻译系统 - 极简版")
    print("=" * 50)
    print()
    print(f"输入: {args.input}")
    print(f"输出: {args.output or '自动生成'}")
    print(f"目标语言: {args.target}")
    print()

    result = process_video(args.input, args.output, args.target)

    print()
    if result["success"]:
        print(f"✓ 完成: {result['output']}")
    else:
        print(f"✗ 失败: {result['error']}")
        sys.exit(1)


if __name__ == "__main__":
    main()