textfsm

from concurrent.futures import ThreadPoolExecutor
import netmiko
import os
from threading import Lock
import pandas as pd
from textfsm import TextFSM
import time

class net_dev():

    def __init__(self,excel_name):
        try :
            os.mkdir("./log")
        except:
            pass
        self.excel_name = excel_name
        self.list = [] # 空列表存储设备信息数据
        self.pool = ThreadPoolExecutor(10) # 初始化线程数量
        self.lock = Lock()  # 添加线程锁，避免写入数据丢失
        self.path = ("./log")  # 创建保存log路径
    def get_dev_info(self):
        # 获取设备信息dataframe
        dataframe = pd.read_excel(self.excel_name,sheet_name="设备信息")
        #print(dataframe)
        self.list = dataframe.to_dict(orient="records")  # 将数据变为列表
        print(self.list)

    def textfsm_1(self):
        path = r'C:\Users\17160\PycharmProjects\yc_project\高级textfsm_study\\'
        ntc_templates_path = r'C:\Users\17160\PycharmProjects\yc_project\高级textfsm_study\ntc-templates\\'
        result_path = r'C:\Users\17160\PycharmProjects\yc_project\高级textfsm_study\输出结果\\'

        ntc_file = "cisco_show_interface"  # 使用模板名字

        result_excel_name = ntc_file + ".xlsx"
        os.chdir(path)
        # 新建一个test.xlsx文件
        df_tmp = pd.DataFrame(data=None)
        with pd.ExcelWriter(str(result_path) + result_excel_name, mode="w") as writer:
            df_tmp.to_excel(writer, sheet_name="sheet1", index=False)
        success_ip = ["YCMBOSS.YUX.6509.SW1","YCMBOSS.YUX.6509.SW2"]
        for ip in success_ip:
            with open(r'C:\Users\17160\PycharmProjects\yc_project\高级textfsm_study\log\\' + str(ip) + '.txt', "r",
                      encoding="utf-8") as file:
                str1 = str(file.read())
            info = TextFSM(open(str(ntc_templates_path) + ntc_file )).ParseText(
                str1)  # 使用textfsm模板
            header = (TextFSM(open(str(ntc_templates_path) + ntc_file )).header) # testfsm获取头部
            data = info
            df = pd.DataFrame(data, columns=header)
            print(df)

            with pd.ExcelWriter(str(result_path) +  result_excel_name, mode="a") as writer:
                df.to_excel(writer, sheet_name=str(ip), index=False)

yc_use = net_dev("设备信息.xlsx")
yc_use.get_dev_info()
yc_use.textfsm_1()