import os, json, datetime, textwrap, requests, gradio as gr
from pathlib import Path
from collections import deque
import threading, time, queue, sys

API_URL   = "http://localhost:30000/generate"
API_KEY   = "token-abc123"
MODEL_PATH = Path("/root/.cradle/Alibaba/Qwen3-30B-A3B-Base")

# ── 检测权重里的模型名 ─────────────────────────────────────────────────────────
def detect_model_name(model_path: Path) -> str:
    cfg = model_path / "config.json"
    if cfg.exists():
        with open(cfg, "r", encoding="utf-8") as f:
            data = json.load(f)
        return data.get("architectures", [None])[0] or data.get("model_type") or model_path.name
    return model_path.name
MODEL_NAME = detect_model_name(MODEL_PATH)

def now():
    return datetime.datetime.now().strftime("%H:%M:%S")

# ── 全局日志队列，用于 UI 实时查看 ─────────────────────────────────────────────
LOG_Q: "queue.Queue[str]" = queue.Queue()
def log(msg: str):
    print(msg)                # stdout 保留
    LOG_Q.put(msg)            # 送到 UI

def log_worker(log_box):      # 后台线程：把队列里的日志刷到 gr.Textbox
    buffer = deque(maxlen=300)
    while True:
        line = LOG_Q.get()
        buffer.append(line)
        log_box.value = "\n".join(buffer)
        time.sleep(0.01)

# ── 调用后端 ───────────────────────────────────────────────────────────────────
def call_backend(text, sampling):
    payload = {"model": MODEL_NAME, "text": text, "sampling_params": sampling}
    log(f"\n🟡 [{now()} payload]\n{json.dumps(payload, ensure_ascii=False, indent=2)}")
    try:
        resp = requests.post(API_URL,
                             headers={"Authorization": f"Bearer {API_KEY}",
                                      "Content-Type": "application/json"},
                             json=payload, timeout=180)
        log(f"🟢 [{now()}] HTTP {resp.status_code}, body前400={resp.text[:400]!r}")
        if resp.status_code != 200:
            return f"[HTTP {resp.status_code}] {resp.text[:300]}"
        data = json.loads(resp.text)
        return data.get("text", "").strip() or "[⚠ 后端无 text]"
    except Exception as e:
        log(f"[❌ 请求异常] {e}")
        return f"[❌ 请求异常] {e}"

# ── Gradio 主对话函数 ──────────────────────────────────────────────────────────
def chat(
    user_msg, history,        # ChatInterface 固定
    max_new, temp, top_p, top_k, rep_pen, pres_pen, stop_raw
):
    stop = [s.strip() for s in stop_raw.split(",") if s.strip()] or None
    sampling = {
        "max_new_tokens": int(max_new),
        "temperature":    temp,
        "top_p":          top_p,
        "top_k":          int(top_k),
        "repetition_penalty": rep_pen,
        "presence_penalty":   pres_pen,
        **({"stop": stop} if stop else {})
    }
    return call_backend(user_msg, sampling)

# ── UI 构建 ────────────────────────────────────────────────────────────────────
with gr.Blocks(title="Base 模型调试界面") as demo:
    gr.Markdown(f"## 💬 Base 模型调试界面  \n权重 **{MODEL_PATH.name}**")

    # 采样参数控件
    with gr.Row():
        max_new = gr.Slider(32, 32768, 1024, label="max_new_tokens")
        temp    = gr.Slider(0, 1.5, 0.8, step=0.05, label="temperature")
    with gr.Row():
        top_p   = gr.Slider(0, 1, 0.95, step=0.01, label="top_p")
        top_k   = gr.Slider(0, 200, 50, step=1, label="top_k")
    with gr.Row():
        rep_pen = gr.Slider(0.8, 2.0, 1.05, step=0.01, label="repetition_penalty")
        pres_pen= gr.Slider(0, 2.0, 0.0, step=0.05, label="presence_penalty")

    stop_text = gr.Textbox("", label="stop 序列（逗号分隔）")

    # Debug 面板
    with gr.Row():
        toggle_dbg = gr.Checkbox(label="📜 打开 / 关闭 Debug 面板", value=False)

    dbg_box = gr.Textbox(label="实时日志", lines=20, visible=False)

    # Chatbot
    chatbot = gr.ChatInterface(
        fn=chat,
        additional_inputs=[max_new, temp, top_p, top_k, rep_pen, pres_pen, stop_text],
        type="messages"
    )

    # 切换 debug 面板显示
    def show_dbg(flag: bool):
        return gr.update(visible=flag)
    toggle_dbg.change(show_dbg, inputs=toggle_dbg, outputs=dbg_box)

# 启动后台日志线程
threading.Thread(target=log_worker, args=(dbg_box,), daemon=True).start()

demo.launch(server_name="0.0.0.0", server_port=30001)