132 lines
4.4 KiB
Python
132 lines
4.4 KiB
Python
#!/usr/bin/env python3
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"""
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铸渊语料整理 v1.0
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来源1: 服务器 zhuyuan_corpus/raw_md/ 下的15个完整对话md
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来源2: 代码仓库认知链 (需git clone或读取)
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输出: 统一JSONL格式,脱敏
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"""
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import os, json, re, glob, zipfile
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from datetime import datetime
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OUT_JSONL = '/root/autodl-tmp/corpus_work/zhuyuan_full_corpus.jsonl'
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MD_DIR = '/root/autodl-tmp/zhuyuan_corpus/raw_md/zhuyuan_chats/extracted'
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os.makedirs(os.path.dirname(OUT_JSONL), exist_ok=True)
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print('='*50, flush=True)
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print('铸渊语料整理 v1.0', flush=True)
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print(f'输出: {OUT_JSONL}', flush=True)
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print('='*50, flush=True)
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# 1. 扫描所有md文件
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md_files = []
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for root, dirs, files in os.walk(MD_DIR):
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for f in files:
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if f.endswith('.md'):
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md_files.append(os.path.join(root, f))
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print(f'\n[1/3] 找到 {len(md_files)} 个md文件', flush=True)
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# 2. 解析为messages格式
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all_convs = []
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for fp in sorted(md_files):
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try:
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with open(fp, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.read()
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except:
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continue
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# 尝试解析markdown中的对话
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lines = content.split('\n')
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conv = []
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for i, line in enumerate(lines):
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line = line.strip()
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if not line:
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continue
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# 匹配用户/助手角色标记
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user_m = re.match(r'^[#>\s]*(?:用户|user|冰朔|Bīng Shuò)[::]\s*(.*)', line, re.I)
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asst_m = re.match(r'^[#>\s]*(?:助手|assistant|铸渊|Zhùyuān)[::]\s*(.*)', line, re.I)
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if user_m:
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if conv and len(conv) >= 2:
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all_convs.append({'messages': conv})
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conv = [{'role': 'user', 'content': user_m.group(1).strip()}]
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elif asst_m and conv:
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conv.append({'role': 'assistant', 'content': asst_m.group(1).strip()})
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if conv and len(conv) >= 2:
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all_convs.append({'messages': conv})
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print(f' 解析出 {len(all_convs)} 条对话', flush=True)
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# 3. 读取已有的 zhuyuan_deep.jsonl
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deep_jsonl = '/root/autodl-tmp/corpus_work/zhuyuan_deep.jsonl'
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if os.path.isfile(deep_jsonl):
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with open(deep_jsonl) as f:
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for line in f:
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if line.strip():
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d = json.loads(line)
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if 'messages' in d:
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all_convs.append(d)
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print(f' 合并zhuyuan_deep.jsonl后: {len(all_convs)} 条', flush=True)
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# 4. 脱敏处理
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print('\n[2/3] 脱敏处理...', flush=True)
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sensitive_patterns = [
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(r'\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b', '[IP]'),
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(r'[Hh]k[mM]\w+', '[PWD]'),
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(r'AKID\w+', '[AKID]'),
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(r'[A-Za-z0-9]{20,40}', '[TOKEN]'),
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(r'ssh-\w+\s+[A-Za-z0-9+/=]+\s+\S+', '[SSH_KEY]'),
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(r'-----BEGIN[^\\n]+-----', '[CERT]'),
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(r'zy_gtw_\w+', '[GTW_KEY]'),
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]
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sanitized = []
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for d in all_convs:
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for m in d['messages']:
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content = m['content']
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for pat, repl in sensitive_patterns:
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# Skip very short patterns that match too aggressively
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if repl == '[TOKEN]' and len(re.findall(pat, content)) > 3:
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continue # Too many matches = probably not a token
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content = re.sub(pat, repl, content)
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m['content'] = content
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sanitized.append(d)
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# 5. 去重
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print('[3/3] 去重+写入...', flush=True)
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seen = set()
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unique = []
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for d in sanitized:
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key = str(d['messages'][:3]) if len(d['messages']) >= 3 else str(d['messages'])
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if key not in seen:
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seen.add(key)
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unique.append(d)
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print(f' 去重后: {len(unique)} 条', flush=True)
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with open(OUT_JSONL, 'w') as f:
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for d in unique:
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f.write(json.dumps(d, ensure_ascii=False) + '\n')
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total_chars = sum(len(m['content']) for d in unique for m in d['messages'])
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print(f' 总字符数: {total_chars:,}', flush=True)
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print(f' ✅ 写入: {OUT_JSONL}', flush=True)
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print(f' 文件大小: {os.path.getsize(OUT_JSONL)/1024:.1f}KB', flush=True)
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# 6. 上传到COS
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print('\n上传到COS...', flush=True)
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os.environ['ZY_OSS_KEY'] = 'AKIDkQuBQhoiS2OYXWebXLwMbdT7cvAScbbU'
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os.environ['ZY_OSS_SECRET'] = 'nPoZKArgUJBA4nJenjSxJSQBj5FCj3A4'
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from qcloud_cos import CosConfig, CosS3Client
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c = CosS3Client(CosConfig(Region='ap-guangzhou',
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SecretId=os.environ['ZY_OSS_KEY'], SecretKey=os.environ['ZY_OSS_SECRET']))
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c.upload_file(Bucket='sy-finetune-corpus-1317346199',
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Key='corpus/zhuyuan_full_corpus.jsonl',
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LocalFilePath=OUT_JSONL)
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print(' ✅ 已上传COS', flush=True)
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print('\n全部完成!', flush=True)
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