检查
"膝关节核磁"
"眼睛酸胀"
"视力"
"砂眼"
"辨色力"
"角膜"
"眼底"

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


logging.root.setLevel(logging.INFO)


# 并生成 CQL
def generate_cql() -> str:
    cql = """
        CREATE (examine1:Examine {name: "膝关节核磁"}),
        (examine2:Examine {name: "眼睛酸胀"}),
        """
    df = pd.read_csv('examine_data.csv')
    symptoms = []
    for each in df['检查']:
        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 += """(examine%s:Examine {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 Examine 标签数据
def clear_data():
    cql = "MATCH (n:Examine) DETACH DELETE n"
    execute_write(cql)


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