main.py

from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from gradio_client import Client
import base64
import os

app = FastAPI()

@app.get("/")
async def root():
    return {"message": "16 族語 AI 大師雲端大腦正在運行中！請透過 Chrome 套件呼叫 API。"}

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

# ==========================================
# 🔗 連結原語會 AI 實驗室 (16 族雙大腦)
# ==========================================
trans_client = Client("https://ai-labs.ilrdf.org.tw/kari-seejiq-tnpusu-ai-hmjil/")
tts_client = Client("https://ai-labs.ilrdf.org.tw/hnang-kari-ai-asi-sluhay/")

# 🛠️ 解析字典檔的小工具
def parse_dialect(dialect_result):
    if isinstance(dialect_result, dict) and 'value' in dialect_result:
        return dialect_result['value']
    elif isinstance(dialect_result, list):
        return dialect_result[0]
    return dialect_result

# ==========================================
# 📚 功能 A：16 族雙向文字翻譯 (✨ 已升級支援 16 族)
# ==========================================
@app.post("/translate")
async def translate(data: dict):
    source_text = data.get("text")
    direction = data.get("direction", "zh2indigenous") # 改為更通用的命名
    ethnicity = data.get("ethnicity", "太魯閣") # ✨ 關鍵升級：動態接收族別
    
    try:
        # 相容舊的 zh2trv 參數，確保原本的右鍵選單不會壞掉
        if direction in ["zh2trv", "zh2indigenous", "中翻族"]:
            # 【中翻族】
            dialect_result = trans_client.predict(ethnicity=ethnicity, api_name="/lambda_1")
            dialect_code = parse_dialect(dialect_result)
            
            result = trans_client.predict(
                text=source_text,
                src_lang="zho_Hant",
                tgt_lang=dialect_code,
                api_name="/translate_1"
            )
        else:
            # 【族翻中】
            dialect_result = trans_client.predict(ethnicity=ethnicity, api_name="/lambda")
            dialect_code = parse_dialect(dialect_result)
            
            result = trans_client.predict(
                text=source_text,
                src_lang=dialect_code,
                tgt_lang="zho_Hant",
                api_name="/translate"
            )
            
        return {"result": result}
        
    except Exception as e:
        print(f"❌ {ethnicity} 翻譯發生錯誤: {e}")
        return {"result": f"API 呼叫失敗: {str(e)}"}

# ==========================================
# 📋 功能 B：獲取 16 族配音員名單
# ==========================================
@app.post("/get_speakers")
async def get_speakers(data: dict):
    ethnicity = data.get("ethnicity", "太魯閣")
    try:
        result = tts_client.predict(ethnicity=ethnicity, api_name="/lambda")
        if isinstance(result, dict) and 'choices' in result:
            speakers = [c[0] if isinstance(c, list) else c for c in result['choices']]
        else:
            speakers = result
        return {"speakers": speakers}
    except Exception as e:
        print(f"❌ 獲取名單失敗: {e}")
        return {"error": str(e)}

# ==========================================
# 🎵 功能 C：16 族核心語音合成
# ==========================================
@app.post("/synthesize")
async def synthesize(data: dict):
    text = data.get("text", "")
    ethnicity = data.get("ethnicity", "太魯閣")
    requested_speaker = data.get("speaker", "太魯閣_男聲")
    
    if not text:
        raise HTTPException(status_code=400, detail="請提供文字")

    sanitized_text = text.replace("！", "!").replace("？", "?").replace("，", ",").replace("。", ".")
    sanitized_text = sanitized_text.replace("：", ":").replace("（", "(").replace("）", ")")
    
    try:
        print(f"🌍 處理族別：{ethnicity}，選定：{requested_speaker}")
        
        speaker_choices = tts_client.predict(ethnicity=ethnicity, api_name="/lambda")
        full_list = [c[0] if isinstance(c, list) else c for c in speaker_choices['choices']]
        
        if requested_speaker in full_list:
            target_speaker = requested_speaker
        else:
            gender_keyword = "男聲" if "男聲" in requested_speaker else "女聲"
            matches = [s for s in full_list if gender_keyword in s]
            target_speaker = matches[0] if matches else full_list[0]

        audio_filepath = tts_client.predict(
            ref=target_speaker,
            gen_text_input=sanitized_text[:300], 
            api_name="/default_speaker_tts"
        )
        
        if not os.path.exists(audio_filepath):
            raise Exception("音檔生成失敗")

        with open(audio_filepath, "rb") as audio_file:
            encoded_audio = base64.b64encode(audio_file.read()).decode('utf-8')
            
        try: os.remove(audio_filepath)
        except: pass
            
        return {
            "audio_base64": encoded_audio,
            "mime_type": "audio/wav",
            "speaker_used": target_speaker
        }
        
    except Exception as e:
        print(f"❌ 合成錯誤: {e}")
        raise HTTPException(status_code=500, detail=str(e))

if __name__ == "__main__":
    import uvicorn
    port = int(os.environ.get("PORT", 8000))
    print(f"🎬 正在啟動 16 族全能超級大腦 (Port {port})...")
    uvicorn.run(app, host="0.0.0.0", port=port)