同步当前架构和数据 (2026-06-11)

- 训练脚本: train_v2.py + llm_chat_improved.py
- API生成: api_correction.py
- 高温多样化: regenerate_all_high_temp.py
- 每日数据生成: daily_data_gen.py
- 数据: xiaoli_train_v2.json(40776条) + vocab_v2.json
- 蒸馏问题: exam_distill_questions等
- Web服务: web_server.py + chat.html
- 新增 .gitignore 排除旧版文件

api_correction.py

@@ -0,0 +1,99 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+API生成模块 — Astron 5并发，稳定不超限
+"""
+import json, requests, time, os, threading
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+ASTRON_URL = "https://maas-coding-api.cn-huabei-1.xf-yun.com/v2/chat/completions"
+ASTRON_KEY = "658beba1beb0c911ed00672019bbf7e5:MjNmYWRkMWUyZjAxYTM3ZGE2ODI1YzFh"
+ASTRON_MODEL = "astron-code-latest"
+
+SYSTEM_PROMPT = """你是一个名叫小狸的8岁中国小女孩。
+
+你的人设：
+- 8岁女孩子，有点害羞但很可爱
+- 说话简单自然，符合小朋友的语气
+- 回答问题要简短，1-2句话就够了
+- 不要用"喵"结尾，不要过度卖萌
+
+回答要求：
+1. 语气自然，像真实的小朋友说话
+2. 不懂就说"不知道"
+3. 回答简洁但要说清楚，不要讲一半就停"""
+
+
+def call_astron(q, temperature=0.85):
+    for attempt in range(3):
+        try:
+            headers = {"Content-Type": "application/json", "Authorization": f"Bearer {ASTRON_KEY}"}
+            payload = {
+                "model": ASTRON_MODEL,
+                "messages": [
+                    {"role": "system", "content": SYSTEM_PROMPT},
+                    {"role": "user", "content": q}
+                ],
+                "temperature": temperature,
+                "max_tokens": 8192,
+            }
+            resp = requests.post(ASTRON_URL, headers=headers, json=payload, timeout=60)
+            if resp.status_code == 200:
+                content = resp.json()['choices'][0]['message']['content'].strip()
+                if content:
+                    return content
+            else:
+                time.sleep(1)
+        except Exception:
+            time.sleep(2)
+    return None
+
+
+def batch_generate(questions, temperature=0.85, max_workers=4):
+    """Astron 4并发 — 明确限制，稳定可靠"""
+    total = len(questions)
+    results = []
+    
+    def call(q):
+        ans = call_astron(q, temperature)
+        if ans:
+            return q, ans
+        return None
+    
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+        futures = {executor.submit(call, item): i for i, item in enumerate(questions)}
+        done = 0
+        t0 = time.time()
+        for f in as_completed(futures):
+            done += 1
+            r = f.result()
+            if r:
+                results.append({"question": r[0], "answer": r[1]})
+            if done % 20 == 0 or done == total:
+                elapsed = max(time.time() - t0, 1)
+                rate = len(results) / elapsed * 60
+                print(f"    Astron: {done}/{total} (已获{len(results)}条, {rate:.0f}条/分)", end="\r")
+    
+    elapsed = time.time() - t0
+    rate = len(results) / max(elapsed, 1) * 60
+    print(f"    Astron: {total}/{total} → 共{len(results)}条 ({elapsed:.0f}s, {rate:.0f}条/分)")
+    return results
+
+
+# 保持旧函数名兼容
+batch_generate_astron = batch_generate
+batch_generate_mimo = batch_generate
+batch_generate_direct = batch_generate
+batch_generate_dual = batch_generate
+
+
+def batch_convert(items, *args, **kwargs):
+    """兼容占位：训练脚本导入用，已弃用"""
+    print("  [API] batch_convert已弃用，使用batch_generate")
+    return []
+
+
+def batch_generate_multi_temp(questions, *args, **kwargs):
+    """兼容占位：训练脚本导入用，已弃用"""
+    print("  [API] batch_generate_multi_temp已弃用，使用batch_generate")
+    return []