sglang.0.4.8.post1/meta_ui.py

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

# ────────────────── 基础配置 ──────────────────
API_KEY    = "token-abc123"
MODEL_PATH = Path("/root/.cradle/Alibaba/Qwen3-30B-A3B-Base")


def model_name(path: Path):
    cfg = path / "config.json"
    if cfg.exists():
        data = json.load(cfg.open())
        return data.get("architectures", [None])[0] or data.get("model_type") or path.name
    return path.name

MODEL_NAME = model_name(MODEL_PATH)
now = lambda: datetime.datetime.now().strftime("%H:%M:%S")

# ────────────────── 日志队列 ──────────────────
LOG_Q: "queue.Queue[str]" = queue.Queue()
LOG_TXT = ""


def log(msg):
    print(msg, flush=True)
    LOG_Q.put(msg)


prev_log_value = ""

def consume_logs(dummy=None):
    global LOG_TXT, prev_log_value
    buf = deque(LOG_TXT.splitlines(), maxlen=400)
    while not LOG_Q.empty():
        buf.append(LOG_Q.get())
    LOG_TXT = "\n".join(buf)
    if LOG_TXT != prev_log_value:
        prev_log_value = LOG_TXT
        return gr.update(value=LOG_TXT)
    return gr.update()


# ────────────────── 后端调用 ──────────────────
def backend(text, sampling, api_suffix):
    url = f"http://localhost:30000{api_suffix}"
    if api_suffix == "/generate":
        payload = {"model": MODEL_NAME, "text": text, "sampling_params": sampling}
    else:  # "/v1/chat/completions"
        payload = {
            "model": MODEL_NAME,
            "messages": [{"role": "user", "content": text}],
            **sampling
        }

    log(f"\n🟡 [{now()}] POST {url}\n{json.dumps(payload, ensure_ascii=False, indent=2)}")
    try:
        r = requests.post(url,
                          headers={"Authorization": f"Bearer {API_KEY}",
                                   "Content-Type": "application/json"},
                          json=payload, timeout=180)
        try:
            data = r.json()
        except Exception:
            data = {}

        if api_suffix == "/generate":
            txt = data.get("text", "").strip()
            meta = data.get("meta_info", {})
            fr = meta.get("finish_reason")
            ctok = meta.get("completion_tokens")
        else:
            choice = data.get("choices", [{}])[0]
            txt = choice.get("message", {}).get("content", "").strip()
            fr = choice.get("finish_reason")
            ctok = data.get("usage", {}).get("completion_tokens")

        log(f"🟢 [{now()}] HTTP {r.status_code}  tokens={ctok}  finish={fr}\n"
            f"🟢 resp800={r.text[:800]!r}")
        if r.status_code != 200:
            return f"[HTTP {r.status_code}] {r.text[:300]}"
        return txt or "[⚠ 空]"
    except Exception as e:
        log(f"[❌ 请求异常] {e}")
        return f"[❌ 请求异常] {e}"


# ────────────────── Chat 回调 ──────────────────
def chat(
    user_msg, history,
    max_new, temp, top_p, top_k,
    rep_pen, pres_pen, stop_raw,
    api_suffix, log_state
):
    from queue import Queue, Empty

    # 解析传入的 ChatInput 格式
    user = user_msg["text"] if isinstance(user_msg, dict) and "text" in user_msg else user_msg

    stop = [s.strip() for s in stop_raw.split(",") if s.strip()] or None
    samp = {
        ("max_tokens" if api_suffix == "/v1/chat/completions" else "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 {})
    }

    result_q = Queue()

    def worker():
        out = backend(user, samp, api_suffix)
        result_q.put(out)

    threading.Thread(target=worker).start()
    yield "⏳ 正在生成中...", log_state

    while True:
        try:
            result = result_q.get(timeout=0.1)
            yield result, log_state
        except Empty:
            continue


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

    with gr.Row():
        api_choice = gr.Dropdown(choices=["/generate", "/v1/chat/completions"],
                                value="/generate", label="选择推理接口")
    with gr.Row():
        max_new = gr.Slider(32, 32768, 128, 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, 1.05, step=0.01, label="repetition_penalty")
        pres_pen= gr.Slider(0, 2, 0.0, step=0.05, label="presence_penalty")
    stop_txt = gr.Textbox("", label="stop 序列（逗号分隔）")

    log_state = gr.State("")
    dbg_chk   = gr.Checkbox(label="📜 显示 Debug 面板", value=False)
    log_box   = gr.Textbox(label="实时日志", lines=20, interactive=False, visible=False)

    chatbot = gr.ChatInterface(
        fn=chat,
        additional_inputs=[max_new, temp, top_p, top_k,
                        rep_pen, pres_pen, stop_txt,
                        api_choice, log_state],
        additional_outputs=[],
        type="messages"
    )

    timer = gr.Timer(1.0, render=True)
    timer.tick(
        fn=consume_logs,
        inputs=[],
        outputs=[log_box],
    )

    log_state.change(lambda txt: gr.update(value=txt), log_state, log_box)
    dbg_chk.change(lambda v: gr.update(visible=v), dbg_chk, log_box)


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