在线问诊 Python、FastAPI、Neo4j — 创建 疾病节点

[TOC]
根据检查结果、医生的临床经验得出疾病

疾病数据

disease_data.csv
建议值用“”引起来。避免中间有，号造成误识别

疾病
"干眼"
"右膝髌上囊及关节腔少量积液"

创建节点

import logging
import pandas as pd
from utils.neo4j_provider import driver

logging.root.setLevel(logging.INFO)


# 并生成 CQL
def generate_cql() -> str:
    # cql = """
    #     CREATE (disease1:Disease {name: "右膝髌上囊及关节腔少量积液"}),
    #     (disease2:Disease {name: "干眼"}),
    #     """

    df = pd.read_csv('disease_data.csv')
    symptoms = []
    for each in df['疾病']:
        symptoms.extend(each.split(','))  # 按，号分割成数组，并将每行数据到一个队列里面
    symptoms = set(symptoms)  # 去除重复项

    # 拼接 CQL
    cql = ""
    for idx, item in enumerate(symptoms):
        cql += """(disease%s:Disease {name: "%s"}),\r\n""" \
               % (idx, item)
    return "CREATE %s" % (cql.rstrip(",\r\n"))  # 删除最后一个节点的 逗号


# 执行写的命令
def execute_write(cql):
    with driver.session() as session:
        session.execute_write(execute_cql, cql)
    driver.close()


# 执行 CQL 语句
def execute_cql(tx, cql):
    tx.run(cql)


# 清除 Disease 标签数据
def clear_data():
    cql = "MATCH (n:Disease) DETACH DELETE n"
    execute_write(cql)


if __name__ == "__main__":
    clear_data()
    cql = generate_cql()
    print(cql)
    execute_write(cql)

源代码地址：https://gitee.com/VipSoft/VipQA