# coding=UTF-8
import xlrd
import xlwt
from xlutils.copy import copy
import requests,re,time
import pymssql
def con_sql(ssql):
#连接SQL
conn = pymssql.connect(host='xxxxx',
user='xxxxxxxxx',
password='xxxxxx',
database='xxxxxxxxxxx',
charset='utf8')
#查看连接是否成功
cursor = conn.cursor()
sql = ssql
cursor.execute(sql)
#用一个rs变量获取数据
rs = cursor.fetchall()
conn.close()
return rs
def write_excel_xls(path, sheet_name, value):
index = len(value) # 获取需要写入数据的行数
workbook = xlwt.Workbook() # 新建一个工作簿
sheet = workbook.add_sheet(sheet_name) # 在工作簿中新建一个表格
for i in range(0, index):
for j in range(0, len(value[i])):
sheet.write(i, j, value[i][j]) # 像表格中写入数据(对应的行和列)
workbook.save(path) # 保存工作簿
print("xls格式表格写入数据成功!")
def write_excel_xls_append(path, value):
index = len(value) # 获取需要写入数据的行数
workbook = xlrd.open_workbook(path) # 打开工作簿
sheets = workbook.sheet_names() # 获取工作簿中的所有表格
worksheet = workbook.sheet_by_name(sheets[0]) # 获取工作簿中所有表格中的的第一个表格
rows_old = worksheet.nrows # 获取表格中已存在的数据的行数
new_workbook = copy(workbook) # 将xlrd对象拷贝转化为xlwt对象
new_worksheet = new_workbook.get_sheet(0) # 获取转化后工作簿中的第一个表格
for i in range(0, index):
for j in range(0, len(value[i])):
new_worksheet.write(i + rows_old, j, value[i][j]) # 追加写入数据,注意是从i+rows_old行开始写入
new_workbook.save(path) # 保存工作簿
print("xls格式表格【追加】写入数据成功!")
def read_excel_xls(path):
workbook = xlrd.open_workbook(path) # 打开工作簿
sheets = workbook.sheet_names() # 获取工作簿中的所有表格
worksheet = workbook.sheet_by_name(sheets[0]) # 获取工作簿中所有表格中的的第一个表格
for i in range(0, worksheet.nrows):
for j in range(0, worksheet.ncols):
print(worksheet.cell_value(i, j), "\t", end="") # 逐行逐列读取数据
print()
#########################################################################################
otherStyleTime = time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))
book_name_xls = f'D:\\关键词搜索工作簿_{str(otherStyleTime)}.xls'
sheet_name_xls = '关键词搜索'
value_title = [["搜索词", "分词结果","推荐词", "搜索结果", "商品名称", "所属一级分类","所属二级分类","所属三级分类","所属品牌"] ]
write_excel_xls(book_name_xls, sheet_name_xls, value_title)
ser='D:\\se.txt'
with open(ser,'r')as e:
for se in e.readlines():
print(se)
r1 = requests.get(f'http://api.xxxxxxxxxxxxxxxx/directsearch/search?source=all50keyword&keyword={se}&showFlag=1,'
'3&selectType=2&promotionChannelType=2&isExcludeJiCai=1&appId=110001&platform=pc&ip=127.0.0.1&sortBy=vcdesc&page=1&pageSize=10')
pat = re.compile(r'Id":(.*?),', re.S)
result = pat.findall(r1.text)
pat2 = re.compile(r'tokens":"(.*?)"', re.S)
pat3 = re.compile(r'effectiveTokens":"(.*?)"', re.S)
result2 = pat2.findall(r1.text)
result3 = pat3.findall(r1.text)
#获取商品skuid
j=[]
for i in result:
#i= str(i)
i=re.findall(r"\d{9}",i)
j.append(i)
for z in j:
if z==[]:
j.remove(z)
#循环SKUID写EXECL
for i in j:
# 写入EXECL
sql=f"""SELECT p.Name ,
p.Brand ,
CategoryName1 ,
CategoryName2 ,
CategoryName3
FROM dbo.t_Product_Product p
INNER JOIN ( SELECT c.Id ,
CategoryName1 = a.Name ,
CategoryName2 = b.Name ,
CategoryName3 = c.Name
FROM t_Product_Category a
INNER JOIN t_Product_Category b ON a.Id = b.ParentId
AND a.Mark > 0
AND b.Mark > 0
INNER JOIN t_Product_Category c ON b.Id = c.ParentId
AND c.Mark > 0
) t ON p.CategoryId3 = t.Id
WHERE p.Mark > 0 AND p.Id={i[0]}"""
res_sql = con_sql(sql)
print(res_sql)
#元组取值
for o in res_sql:
print(o)
#调用方法执行
value1 = [[se, result2,result3, str(i[0]),o[0],o[2],o[3],o[4],o[1]]]
write_excel_xls_append(book_name_xls, value1)
read_excel_xls(book_name_xls)
pyhton3 execl 数据插入追加
最新推荐文章于 2024-06-27 16:07:52 发布
本文介绍了一个Python脚本,该脚本利用xlrd、xlwt和pymssql库实现从SQL Server数据库中读取数据并批量写入到Excel文件中,同时支持从Excel读取数据追加到同一工作簿。脚本展示了如何使用正则表达式处理HTTP请求返回的数据,以及如何通过SQL查询获取商品信息。
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