Files
xiaoli-llm-chat/api_correction.py
T

99 lines
3.3 KiB
Python

#!/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 = os.environ.get("ASTRON_KEY", "")
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 []