from trump.query import create_item,modify_item,get_items
from utils.result_process import success,aborted
import xlwt
import datetime
from utils.data_to_execl_sunge import excel_style
import config_business
# 统计用户登录次数
async def ls(app,request):
params = request.args
pager = False
with_total = False
if "page" in params: # 判断是否有分页
pager = True
with_total = True
re_params = {}
for i in params: # 重新封装传入参数
re_params.__setitem__(i, params.get(i))
data = await get_items(app.pool, "users_log", re_params, with_total=with_total, pager=pager)
print(data)
if data:
if pager == True: # 有分页
if "excel" in request.args and request.args.get("excel") == "daochu":
today_date = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
wbk = xlwt.Workbook()
sheet = wbk.add_sheet('Sheet1', cell_overwrite_ok=True)
header01, style_COL_AC = excel_style()
head_message = ['编号', '手机号', '最近登录ip地址','最近登录时间','登录次数']
tall_style = xlwt.easyxf('font:height 600;')
for kk, i in enumerate(head_message):
sheet.write(0, kk, i, header01)
sheet.col(kk).width = 240 * 20
sheet.row(0).set_style(tall_style)
for key, item in enumerate(data[1]):
for k, ele in enumerate(item):
sheet.write(int(key + 1), k, item[ele], style_COL_AC)
sheet.col(k).width = 240 * 20
sheet.row(int(key + 1)).set_style(tall_style)
excel_path = config_business.EXCEL_SAVE_PATH + str(today_date) + '用户登录次数' + '.xls'
wbk.save(excel_path)
return success(excel_path)
return success({"total": data[0], "list": data[1]})
else:
return success(data)
else:
return aborted({"total": 0, "list": []})
Python导出数据到excel
最新推荐文章于 2025-09-14 23:21:54 发布
本文介绍了一个异步函数,用于统计用户登录次数,并提供导出功能。通过解析请求参数,实现分页查询和Excel导出,展示了如何使用Python进行数据处理和文件操作。
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