114 lines
4.8 KiB
Python
114 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""
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从达梦数据库导出三元组数据到 JSON 文件
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三元组来源:RELATION_INSTANCE 表 (HEAD_ID, RELATION_TYPE, TAIL_ID)
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支持可选清洗:去重、过滤悬空引用、移除空值、规范化关系类型
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用法: python scripts/export_triplets.py
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需设置环境变量 DM_PASSWORD,且 config 中 source=db
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"""
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import json
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import os
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import sys
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_script_dir = os.path.dirname(os.path.abspath(__file__))
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_project_root = os.path.dirname(_script_dir)
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sys.path.insert(0, _project_root)
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def _json_serializer(obj):
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"""处理 Timestamp、datetime、numpy 等不可直接 JSON 序列化的类型"""
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if hasattr(obj, 'isoformat'):
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return obj.isoformat()
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if hasattr(obj, 'item'):
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return obj.item()
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if isinstance(obj, float) and (obj != obj or obj == float('inf') or obj == float('-inf')):
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return None
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raise TypeError(f'Object of type {type(obj).__name__} is not JSON serializable')
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def load_config(project_root: str) -> dict:
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"""加载 config"""
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config_dir = os.path.join(project_root, 'config')
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json_path = os.path.join(config_dir, 'config.json')
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yaml_path = os.path.join(config_dir, 'config.yaml')
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if os.path.exists(json_path):
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with open(json_path, 'r', encoding='utf-8') as f:
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return json.load(f)
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if os.path.exists(yaml_path):
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try:
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import yaml
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with open(yaml_path, 'r', encoding='utf-8') as f:
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return yaml.safe_load(f)
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except ImportError:
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pass
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return {'source': 'json', 'db': {}, 'triplet': {}}
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def main():
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from src.data_loader import load_triplets_from_dm, load_from_dm
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from src.triplet_cleaner import clean_triplets, transform_triplet_output_format
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config = load_config(_project_root)
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if config.get('source') != 'db':
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print("错误:三元组导出仅支持达梦模式,请将 config 中 source 改为 db")
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sys.exit(1)
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tc = config.get('triplet', {})
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output_file = tc.get('output_file', 'data/triples.json')
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report_file = tc.get('report_file', 'report/triplet_cleaning_report.json')
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output_path = output_file if os.path.isabs(output_file) else os.path.join(_project_root, output_file)
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report_path = report_file if os.path.isabs(report_file) else os.path.join(_project_root, report_file)
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os.makedirs(os.path.dirname(output_path), exist_ok=True)
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os.makedirs(os.path.dirname(report_path), exist_ok=True)
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# 清洗配置(clean: false 则跳过;否则按子项配置)
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clean_cfg = tc.get('clean', True)
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do_clean = False
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if clean_cfg is True:
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do_clean = {'deduplicate': True, 'filter_orphans': False, 'remove_null_core': True, 'normalize_relation_type': True}
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elif isinstance(clean_cfg, dict):
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do_clean = clean_cfg
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deduplicate = do_clean.get('deduplicate', True) if do_clean else False
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filter_orphans = do_clean.get('filter_orphans', False) if do_clean else False
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remove_null_core = do_clean.get('remove_null_core', True) if do_clean else False
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normalize_relation_type = do_clean.get('normalize_relation_type', True) if do_clean else False
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print("正在从达梦读取三元组 (RELATION_INSTANCE)...")
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triplets = load_triplets_from_dm(config, _project_root)
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print(f"读取到 {len(triplets)} 条三元组")
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valid_ids = None
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if filter_orphans:
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print("正在加载实体表以校验悬空引用...")
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entities = load_from_dm(config, _project_root)
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valid_ids = {str(e.get('TARGET_ID', '')).strip() for e in entities if e.get('TARGET_ID')}
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print(f"有效实体数: {len(valid_ids)}")
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if do_clean and (deduplicate or filter_orphans or remove_null_core or normalize_relation_type):
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print("正在执行三元组清洗...")
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triplets, report = clean_triplets(
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triplets,
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valid_ids=valid_ids,
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deduplicate=deduplicate,
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filter_orphans=filter_orphans,
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remove_null_core=remove_null_core,
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normalize_relation_type=normalize_relation_type,
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)
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with open(report_path, 'w', encoding='utf-8') as f:
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json.dump(report, f, ensure_ascii=False, indent=2, default=_json_serializer)
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print(f"清洗完成:{report['original_count']} -> {report['final_count']},报告: {report_path}")
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# 转为输出格式:head, head_type, relation, tail, tail_type
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entities = load_from_dm(config, _project_root)
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id_to_role = {str(e.get('TARGET_ID', '')).strip(): str(e.get('ROLE_ID', '')).strip() for e in entities if e.get('TARGET_ID')}
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triplets = transform_triplet_output_format(triplets, id_to_role)
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with open(output_path, 'w', encoding='utf-8') as f:
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json.dump(triplets, f, ensure_ascii=False, indent=2, default=_json_serializer)
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print(f"已导出至 {output_path}")
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if __name__ == "__main__":
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main()
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