dump_graph_data.py 4.4 KB

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  1. '''
  2. 这个脚本是用来从postgre数据库中导出图谱数据到json文件的。
  3. '''
  4. import sys,os
  5. current_path = os.getcwd()
  6. sys.path.append(current_path)
  7. from sqlalchemy import text
  8. from sqlalchemy.orm import Session
  9. import json
  10. #这个是数据库的连接
  11. from db.session import SessionLocal
  12. #两个会话,分别是读取节点和属性的
  13. db = SessionLocal()
  14. prop = SessionLocal()
  15. def get_props(ref_id):
  16. props = {}
  17. sql = """select prop_name, prop_value,prop_title from kg_props where ref_id=:ref_id"""
  18. result = prop.execute(text(sql), {'ref_id':ref_id})
  19. for record in result:
  20. prop_name, prop_value,prop_title = record
  21. props[prop_name] = prop_title + ":" +prop_value
  22. return props
  23. def get_entities():
  24. #COUNT_SQL = "select count(*) from kg_nodes where version=:version"
  25. COUNT_SQL = "select count(*) from kg_nodes where status=0"
  26. result = db.execute(text(COUNT_SQL))
  27. count = result.scalar()
  28. print("total nodes: ", count)
  29. entities = []
  30. batch = 100
  31. start = 1
  32. while start < count:
  33. #sql = """select id,name,category from kg_nodes where version=:version order by id limit :batch OFFSET :start"""
  34. sql = """select id,name,category from kg_nodes where status=0 order by id limit :batch OFFSET :start"""
  35. result = db.execute(text(sql), {'start':start, 'batch':batch})
  36. #["发热",{"type":"症状","description":"发热是诊断的主要目的,用于明确发热病因。"}]
  37. row_count = 0
  38. for row in result:
  39. id,name,category = row
  40. props = get_props(id)
  41. entities.append([id,{"name":name, 'type':category,'description':'', **props}])
  42. row_count += 1
  43. if row_count == 0:
  44. break
  45. start = start + row_count
  46. print("start: ", start, "row_count: ", row_count)
  47. with open(current_path+"\\entities_med.json", "w", encoding="utf-8") as f:
  48. f.write(json.dumps(entities, ensure_ascii=False,indent=4))
  49. def get_names(src_id, dest_id):
  50. sql = """select id,name,category from kg_nodes where id = :src_id"""
  51. result = db.execute(text(sql), {'src_id':src_id}).first()
  52. print(result)
  53. if result is None:
  54. #返回空
  55. return (src_id, "", "", dest_id, "", "")
  56. id,src_name,src_category = result
  57. result = db.execute(text(sql), {'src_id':dest_id}).first()
  58. id,dest_name,dest_category = result
  59. return (src_id, src_name, src_category, dest_id, dest_name, dest_category)
  60. def get_relationships():
  61. #COUNT_SQL = "select count(*) from kg_edges where version=:version"
  62. COUNT_SQL = "select count(*) from kg_edges"
  63. result = db.execute(text(COUNT_SQL))
  64. count = result.scalar()
  65. print("total edges: ", count)
  66. edges = []
  67. batch = 1000
  68. start = 1
  69. file_index = 1
  70. while start < count:
  71. #sql = """select id,name,category,src_id,dest_id from kg_edges where version=:version order by id limit :batch OFFSET :start"""
  72. sql = """select id,name,category,src_id,dest_id from kg_edges order by id limit :batch OFFSET :start"""
  73. result = db.execute(text(sql), {'start':start, 'batch':batch})
  74. #["发热",{"type":"症状","description":"发热是诊断的主要目的,用于明确发热病因。"}]
  75. row_count = 0
  76. for row in result:
  77. id,name,category,src_id,dest_id = row
  78. props = get_props(id)
  79. src_id, src_name, src_category, dest_id, dest_name, dest_category = get_names(src_id, dest_id)
  80. #src_name或dest_name为空,说明节点不存在,跳过
  81. if src_name == "" or dest_name == "":
  82. continue
  83. edges.append([src_id, {"id":src_id, "name":src_name, "type":src_category}, dest_id,{"id":dest_id,"name":dest_name,"type":dest_category}, {'type':category,'name':name, **props}])
  84. row_count += 1
  85. if row_count == 0:
  86. break
  87. start = start + row_count
  88. print("start: ", start, "row_count: ", row_count)
  89. if len(edges) > 10000:
  90. with open(current_path+f"\\relationship_med_{file_index}.json", "w", encoding="utf-8") as f:
  91. f.write(json.dumps(edges, ensure_ascii=False,indent=4))
  92. edges = []
  93. file_index += 1
  94. with open(current_path+"\\relationship_med_0.json", "w", encoding="utf-8") as f:
  95. f.write(json.dumps(edges, ensure_ascii=False,indent=4))
  96. #导出节点数据
  97. get_entities()
  98. #导出关系数据
  99. get_relationships()