.

meta_ui.py

@@ -1,61 +1,83 @@
 import os, json, datetime, textwrap, requests, gradio as gr
 from pathlib import Path
 from collections import deque
-import threading, time, queue, sys
+import threading, time, queue
 
+# ────────────────────────────────────
+# 1. 服务端 & 权重路径
+# ────────────────────────────────────
 API_URL    = "http://localhost:30000/generate"
 API_KEY    = "token-abc123"
-MODEL_PATH = Path("/root/.cradle/Alibaba/Qwen3-30B-A3B-Base")
+MODEL_PATH = Path("/root/.cradle/Alibaba/Qwen3-30B-A3B-Base")  # ← 换成你的权重目录
 
-# ── 检测权重里的模型名 ─────────────────────────────────────────────────────────
+def detect_model_name(path: Path) -> str:
-def detect_model_name(model_path: Path) -> str:
+    cfg = path / "config.json"
-    cfg = model_path / "config.json"
     if cfg.exists():
-        with open(cfg, "r", encoding="utf-8") as f:
+        data = json.load(cfg.open())
-            data = json.load(f)
+        return data.get("architectures", [None])[0] or data.get("model_type") or path.name
-        return data.get("architectures", [None])[0] or data.get("model_type") or model_path.name
+    return path.name
-    return model_path.name
+
 MODEL_NAME = detect_model_name(MODEL_PATH)
+now = lambda: datetime.datetime.now().strftime("%H:%M:%S")
 
-def now():
+# ────────────────────────────────────
-    return datetime.datetime.now().strftime("%H:%M:%S")
+# 2. 日志队列（UI 实时查看）
-
+# ────────────────────────────────────
-# ── 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
+    print(msg, flush=True)   # 写到 stdout
     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
+def log_worker(log_box: gr.Textbox):
-    buffer = deque(maxlen=300)
+    buf = deque(maxlen=400)  # 最近 400 行
     while True:
         line = LOG_Q.get()
-        buffer.append(line)
+        buf.append(line)
-        log_box.value = "\n".join(buffer)
+        log_box.value = "\n".join(buf)
-        time.sleep(0.01)
 
-# ── 调用后端 ───────────────────────────────────────────────────────────────────
+# ────────────────────────────────────
-def call_backend(text, sampling):
+# 3. 调用 /generate
-    payload = {"model": MODEL_NAME, "text": text, "sampling_params": sampling}
+# ────────────────────────────────────
-    log(f"\n🟡 [{now()} payload]\n{json.dumps(payload, ensure_ascii=False, indent=2)}")
+def call_backend(text: str, sampling: dict):
+    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,
+        resp = requests.post(
+            API_URL,
             headers={"Authorization": f"Bearer {API_KEY}",
                      "Content-Type": "application/json"},
-                             json=payload, timeout=180)
+            json=payload, timeout=180
-        log(f"🟢 [{now()}] HTTP {resp.status_code}, body前400={resp.text[:400]!r}")
+        )
-        if resp.status_code != 200:
+        status = resp.status_code
-            return f"[HTTP {resp.status_code}] {resp.text[:300]}"
+        body   = resp.text
-        data = json.loads(resp.text)
+        try:
-        return data.get("text", "").strip() or "[⚠ 后端无 text]"
+            data = resp.json()
+        except Exception:
+            data = {}
+        finish = data.get("meta_info", {}).get("finish_reason")
+        c_tok  = data.get("meta_info", {}).get("completion_tokens")
+        log(f"🟢 [{now()}] HTTP {status}  "
+            f"completion_tokens={c_tok}  finish_reason={finish}\n"
+            f"🟢 resp 前 800 字 ↓\n{body[:800]!r}")
+        if status != 200:
+            return f"[HTTP {status}] {body[:300]}"
+        return data.get("text", "").strip() or "[⚠ 后端返回空文本]"
     except Exception as e:
         log(f"[❌ 请求异常] {e}")
         return f"[❌ 请求异常] {e}"
 
-# ── Gradio 主对话函数 ──────────────────────────────────────────────────────────
+# ────────────────────────────────────
+# 4. ChatInterface 回调
+# ────────────────────────────────────
 def chat(
-    user_msg, history,        # ChatInterface 固定
+    user_msg, history,
-    max_new, temp, top_p, top_k, rep_pen, pres_pen, stop_raw
+    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 = {
@@ -69,13 +91,15 @@ def chat(
     }
     return call_backend(user_msg, sampling)
 
-# ── UI 构建 ────────────────────────────────────────────────────────────────────
+# ────────────────────────────────────
+# 5. Gradio UI
+# ────────────────────────────────────
 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
+    # 采样控件
     with gr.Row():
-        max_new = gr.Slider(32, 32768, 1024, label="max_new_tokens")
+        max_new = gr.Slider(32, 32768, 2048, 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")
@@ -83,13 +107,9 @@ with gr.Blocks(title="Base 模型调试界面") as demo:
     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
+    dbg_toggle = gr.Checkbox(label="📜 显示 / 隐藏 Debug 面板", value=False)
-    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
@@ -99,10 +119,8 @@ with gr.Blocks(title="Base 模型调试界面") as demo:
         type="messages"
     )
 
-    # 切换 debug 面板显示
+    # Toggle 日志面板可见性
-    def show_dbg(flag: bool):
+    dbg_toggle.change(lambda v: gr.update(visible=v), dbg_toggle, dbg_box)
-        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()