在线问诊 Python、FastAPI、Neo4j — 创建 饮食节点

饮食
"辣椒"
"大蒜"
"芥末"
"海鲜"
"胡萝卜"
"核桃仁"
"菠菜"
"西红柿"
"香蕉"

import logging
import pandas as pd
from utils.neo4j_provider import neo4j
logging.root.setLevel(logging.INFO)
# 并生成 CQL
def generate_cql() -> str:
    df = pd.read_csv('foods_data.csv')
    symptoms = []
    for each in df['饮食']:
        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 += """(foods%s:Foods {name: "%s"}),\r\n""" \
               % (idx, item)
    return "CREATE %s" % (cql.rstrip(",\r\n"))  # 删除最后一个节点的 逗号
# 清除 Disease 标签数据
def clear_data():
    cql = "MATCH (n:Foods) DETACH DELETE n"
    neo4j.execute_write(cql)
if __name__ == "__main__":
    clear_data()
    cql = generate_cql()
    print(cql)
    neo4j.execute_write(cql)