fix: Astron 5并发 + 修复蒸馏bug
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623a29bafd
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+81
-11
+81
-11
@@ -7,7 +7,7 @@ import json, requests, time, os, threading
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from concurrent.futures import ThreadPoolExecutor, as_completed
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ASTRON_URL = "https://maas-coding-api.cn-huabei-1.xf-yun.com/v2/chat/completions"
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ASTRON_KEY = os.environ.get("ASTRON_KEY", "")
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ASTRON_KEY = "658beba1beb0c911ed00672019bbf7e5:MjNmYWRkMWUyZjAxYTM3ZGE2ODI1YzFh"
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ASTRON_MODEL = "astron-code-latest"
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SYSTEM_PROMPT = """你是一个名叫小狸的8岁中国小女孩。
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@@ -49,8 +49,8 @@ def call_astron(q, temperature=0.85):
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return None
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def batch_generate(questions, temperature=0.85, max_workers=4):
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"""Astron 4并发 — 明确限制,稳定可靠"""
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def batch_generate(questions, temperature=0.85, max_workers=5):
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"""Astron 5并发 — 明确限制,稳定可靠"""
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total = len(questions)
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results = []
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@@ -87,13 +87,83 @@ batch_generate_direct = batch_generate
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batch_generate_dual = batch_generate
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def batch_convert(items, *args, **kwargs):
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"""兼容占位:训练脚本导入用,已弃用"""
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print(" [API] batch_convert已弃用,使用batch_generate")
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return []
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def batch_convert(items, progress=None, max_workers=5):
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"""修复版 batch_convert — 将 (q, ans) 对用 API 优化后返回"""
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if not items:
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return []
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total = len(items)
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results = []
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def convert(item):
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q, model_ans = item
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prompt = f"问题:{q}\n模型回答:{model_ans}\n\n请用8岁小狸的语气,重新生成更好的回答。保持简短自然,1-2句话。"
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ans = call_astron(prompt, temperature=0.3)
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if ans and len(ans) >= 3:
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return {"question": q, "answer": ans}
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return None
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with ThreadPoolExecutor(max_workers=max_workers) as executor:
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futures = {executor.submit(convert, item): i for i, item in enumerate(items)}
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done = 0
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t0 = time.time()
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for f in as_completed(futures):
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done += 1
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r = f.result()
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if r:
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results.append(r)
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if progress:
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progress(done, total)
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if done % 50 == 0 or done == total:
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elapsed = max(time.time() - t0, 1)
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rate = len(results) / elapsed * 60
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print(f" API转换: {done}/{total} (+{len(results)}条, {rate:.0f}条/分)", end="\r")
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elapsed = time.time() - t0
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rate = len(results) / max(elapsed, 1) * 60
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print(f" API转换: {total}/{total} → 共{len(results)}条 ({elapsed:.0f}s, {rate:.0f}条/分)")
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return results
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def batch_generate_multi_temp(questions, *args, **kwargs):
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"""兼容占位:训练脚本导入用,已弃用"""
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print(" [API] batch_generate_multi_temp已弃用,使用batch_generate")
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return []
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def batch_generate_multi_temp(questions, temperatures=None, max_workers=5):
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"""修复版 — 用多种温度生成多样化回答"""
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if temperatures is None:
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temperatures = [0.7, 0.85, 1.0]
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if not questions:
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return []
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total = len(questions) * len(temperatures)
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results = []
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def call_with_temp(q, temp):
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ans = call_astron(q, temperature=temp)
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if ans:
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return {"question": q, "answer": ans, "temperature": temp}
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return None
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tasks = [(q, t) for q in questions for t in temperatures]
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with ThreadPoolExecutor(max_workers=max_workers) as executor:
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futures = {executor.submit(call_with_temp, q, t): i for i, (q, t) in enumerate(tasks)}
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done = 0
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t0 = time.time()
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for f in as_completed(futures):
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done += 1
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r = f.result()
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if r:
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results.append(r)
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if done % 50 == 0 or done == total:
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elapsed = max(time.time() - t0, 1)
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rate = len(results) / elapsed * 60
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print(f" 多温生成: {done}/{total} (+{len(results)}条, {rate:.0f}条/分)", end="\r")
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seen = set()
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unique = []
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for item in results:
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key = (item["question"], item["answer"])
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if key not in seen:
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seen.add(key)
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unique.append({"question": item["question"], "answer": item["answer"]})
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elapsed = time.time() - t0
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rate = len(unique) / max(elapsed, 1) * 60
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print(f" 多温生成: 共{len(unique)}条 (去重后, {elapsed:.0f}s, {rate:.0f}条/分)")
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return unique
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