一、flask代码展示（看代码）
# coding=utf-8
from app.common import RET
from . import admin
from dbConnection.MysqlConn import Mysql
from flask import request
import xlrd
import sys
import os
from app import util
sys.setdefaultencoding('utf8')
# 批量分配客户
@admin.route('/admin/xxxxx', methods=['POST'])
@util.login_required
def xxxxxxx():
data = dict()
data['code'] = RET.PARAMERR
data['msg'] = u'操作失败'
data['info'] = ''
redo_li = []
try:
header_file = request.files['file']
path = upload(header_file)
_data = xlrd.open_workbook(path)
table = _data.sheet_by_index(0) # 取sheet1表中的数据
# 依据下标获取特定sheet表 table.nrows # 获取该sheet表行数 table.ncols获取该sheet表列数
mysql = Mysql()
insert_sql = "insert into family_xxxx(uid, tig, distributor_name, service_name, add_time, service_id, appointment, appointment_service_time, team_id, o_id) VALUES "
insert_sql1 = "insert into family_xxxxx(uid, tig, distributor_name, team_name, add_time, team_id, appointment, appointment_service_time, o_id) VALUES "
# 对数据行进行循环（不包含第一行的字段行） for i in range(table.nrows) 为从第一行开始
for i in range(1, table.nrows):
k = list(table.row_values(i)) # 获取行数的数据
family_distribution = get_family_distribution(int(k[0])) # 判断用户是否已经分配咨询师
family_distribution_team = get_family_distributionteam(int(k[0])) # 判断用户是否已经分配团队
if family_distribution is None:
insert_sql += "('%s',1,'%s','%s', now(),'%s','%s','%s','%s','%s')," % (int(k[0]), k[1], k[4], int(k[5]), k[6], k[7], int(k[3]), int(k[8]))
if family_distribution_team is None:
insert_sql1 += "('%s',1,'%s','%s', now(),'%s','%s','%s','%s')," % (int(k[0]), k[1], k[2], int(k[3]), k[6], k[7], int(k[8]))
if family_distribution_team or family_distribution:
print family_distribution_team['o_id']
li.append(family_distribution_team['o_id'])
data['info'] = li
continue
insert_sql = insert_sql[:-1] # 插入ux数据
insert_sql1 = insert_sql1[:-1] # 插入ux数据
mysql.insertOne(insert_sql, None)
mysql.insertOne(insert_sql1, None)
mysql.dispose()
orders_detail(table)
data['code'] = RET.OK
data['msg'] = u"操作成功"
os.remove(path)
except Exception as e:
print e
data['code'] = RET.DATAERR
return util.to_json(data)
def get_family_xxxx(uid):
sql = "select * from family_distribution where uid= '%s'" % uid
mysql = Mysql()
res = mysql.getOne(sql, None)
mysql.dispose()
return res
def get_family_xxxxx(uid):
sql = "select * from family_distribution_team where uid= '%s'" % uid
mysql = Mysql()
res = mysql.getOne(sql, None)
mysql.dispose()
return res
def orders_detail(table):
mysql = Mysql() # 联系状态后添加客户意向产品类别 客户需求
for i in range(1, table.nrows):
k = list(table.row_values(i)) # 获取行数的数据 沟通情况变为跟进情况
print k
o_id = int(k[8])
print o_id
update_sql1 = " update orders set distribution_status=1,distributionteam_status=1,team_id='%s' where id = '%s'" % (int(k[3]),o_id)
mysql.update(update_sql1, None)
mysql.dispose()
print update_sql1
return 0
def upload(upFile):
pcsystem = sys.platform
# 保存至本地
name = "rate" + "." + str(upFile.filename.split('.')[-1:][0])
if pcsystem.startswith('win'):
base = 'c:/tmp_upload/'
if not os.path.exists(base):
os.makedirs(base)
upFile.save(os.path.join(base, name))
localPath = base + name
else:
base = '/tmp_upload/'
if not os.path.exists(base):
os.makedirs(base)
upFile.save(os.path.join(base, name))
localPath = base + name
return localPath
#
# import xlrd
# def multi_view(request):
# """
# 批量导入
# :param request:
# :return:
# """
# file_obj = request.FILES.get('exfile')
# with open('xxxxxx.xlsx', mode='wb') as f:
# for chunk in file_obj:
# f.write(chunk)
#
# workbook = xlrd.open_workbook('xxxxxx.xlsx')
# sheet = workbook.sheet_by_index(0) # 拿到excel中的第一个文件薄
# maps = {
# 0: 'name',
# 1: 'qq',
# }
# # maps是关于excel表中应该有的字段和字段顺序
# for index in range(1, sheet.nrows): # 对数据行进行循环（不包含第一行的字段行）
# row = sheet.row(index) # 获得行的列对象
# row_dict = {}
# for i in range(len(maps)):
# key = maps[i]
# cell = row[i]
# row_dict[key] = cell.value # cell.value获得列中的内容
# print(row_dict)
# 将数据录入数据库，如：UserInfo.objects.create(**row_dict)
二、Django代码展示_脚本（外部引用）
import xlrd
import sys
import pymysql
# 链接数据库
def mysql_link(de_name):
try:
db = pymysql.connect(host="127.0.0.1", user="xxx",
passwd="xxx",
db=xxx,
charset='utf8')
return db
except:
print("could not connect to mysql server")
'''
读取excel函数
args：excel_file（excel文件，目录在py文件同目录）
returns：book
'''
def open_excel(excel_file):
try:
book = xlrd.open_workbook(excel_file) # 文件名，把文件与py文件放在同一目录下
print(sys.getsizeof(book))
return book
except:
print("open excel file failed!")
'''
执行插入操作
args:db_name（数据库名称）
table_name(表名称）
excel_file（excel文件名，把文件与py文件放在同一目录下）
'''
def store_to(db_name, table_name, excel_file):
db = mysql_link(db_name) # 打开数据库连接
cursor = db.cursor() # 使用 cursor() 方法创建一个游标对象 cursor
list = [] # 定义列表用来存放数据
book = open_excel(excel_file) # 打开excel文件
sheets = book.sheet_names() # 获取所有sheet表名
for sheet in sheets:
sh = book.sheet_by_name(sheet) # 打开每一张表 也可以设置某一张表
row_num = sh.nrows
print(row_num)
num = 0 # 用来控制每次插入的数量
for i in range(1, row_num): # 第一行是标题名，对应表中的字段名所以应该从第二行开始，计算机以0开始计数，所以值是1
row_data = sh.row_values(i) # 按行获取excel的值
value = (row_data[0], row_data[1], row_data[2], row_data[3], row_data[4], row_data[5], \
row_data[6], row_data[7], row_data[8], row_data[9], row_data[10], row_data[11], row_data[12],
row_data[13], row_data[14])
list.append(value) # 将数据暂存在列表
num += 1
if (num >= 10000): # 每一万条数据执行一次插入
print(sys.getsizeof(list))
sql = "INSERT INTO " + table_name + " (time, xingbie, afdd, xzb, yzb, cfbj, jjlbmc, \
bjlbmc, bjlxmc, bjlxxlmc, gxqymc,gxdwmc, afql, afxqxx, cjdwmc)\
VALUES(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)"
cursor.executemany(sql, list) # 执行sql语句
num = 0 # 计数归零
list.clear() # 清空list
print("worksheets: " + sheet + " has been inserted 10000 datas!") # < br > # 将剩下不足10000的数据执行插入
sql = "INSERT INTO " + table_name + " (time, xingbie, afdd, xzb, yzb, cfbj, jjlbmc, \
bjlbmc, bjlxmc, bjlxxlmc, gxqymc,gxdwmc, afql, afxqxx, cjdwmc)\
VALUES(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)"
cursor.executemany(sql, list) # 执行sql语句
print("worksheets: " + sheet + " has been inserted " + len(list) + " datas!")
list.clear() # 清空list
print("worksheets: " + sheet + " has been inserted " + str(row_num) + " datas!")
db.commit() # 提交
cursor.close() # 关闭连接
db.close()
if __name__ == '__main__':
store_to('demo', 'demo_yangben', 'xxx.xlsx') # excel文件格式必须为xlsx
来源：CSDN
作者：碧螺春的小叶
链接：https://blog.csdn.net/weixin_42327399/article/details/103732841