我是使用pymssql完成的sqlserver，首先下载符合版本的pymssql的whl，然后安装，在pycharm的default setting- project Interpreter中确定项目的Interpreter有pymssql，然后就开始了~
代码语言：javascript复制` # -*- coding:utf-8 -*-
import hashlib
import hmac
import json
import pymssql
from requests import Response
from rest_framework import status, generics
from rest_framework.decorators import api_view
from rest_framework.views import APIView
from django.http import HttpResponse, HttpRequest
@api_view(['GET', 'POST'])
def userlogin(req,format=None):
ms = MSSQL(host="你的IP地址", user="你的数据库账号", pwd="你的数据库密码", db="你的数据库名")
if req.method == 'GET':
username = req.GET['username']
password = req.GET['password']
elif req.method == 'POST':
username= req.POST['username']
password = req.POST['password']
newsql = "select * from System_Users where Mobile = '" username "'"
print(newsql)
reslist = ms.ExecQuery(newsql.encode('utf-8'))
# //验证password加密后==LoginPwd
print(password)
print(reslist[0].get("LoginKey"))
if Encrypt(password,reslist[0].get("LoginKey"))==reslist[0].get("LoginKey"):
reslist =json_success(reslist)
else:
reslist =json_error(reslist)
# meizis = System_Users.objects.all()
# serializer = MeiziSerializer(reslist, many=True)
# return Response(serializer.data)
return HttpResponse(json.dumps(reslist, default=lambda obj: obj.__dict__), content_type='application/json')
# return reslist
def Encrypt(password="",salt = ""):
clearBytes=[]
hasheByte=[]
# # encoding = unicode
# clearBytes= bytes(salt.lower().strip() password.strip(),encoding='Unicode')
# salt = crypt.mksalt(crypt.METHOD_SHA512)
# 然后再进行数据加密:
# hasheByte = crypt.crypt("helloworld", salt)
# hasheByte =crypt.crypt(clearBytes, salt)
# password = hmac.new(key=clearBytes, msg=password)
# 待加密信息
str =salt.lower().strip() password.strip()
# 创建md5对象
hl = hashlib.md5()
# Tips
# 此处必须声明encode
# 若写法为hl.update(str) 报错为： Unicode-objects must be encoded before hashing
print('MD5加密前为 ：' str)
hl.update(str.encode(encoding='utf-16'))
print('MD5加密后为 ：' hl.hexdigest())
hl.update(str.encode(encoding='UTF-8'))
print('MD5加密后为 ：' hl.hexdigest())
hl.update(str.encode(encoding='GBK'))
print('MD5加密后为 ：' hl.hexdigest())
hl.update(str.encode(encoding='GB2312'))
print('MD5加密后为 ：' hl.hexdigest())
print(password)
return password
def json_success(data, code=200, foreign_penetrate=False, **kwargs):
data = {
"status": code,
"msg": "成功",
"data": data,
}
print(data)
return data
def json_error(error_string="失败", code=500, **kwargs):
data = {
"status": code,
"msg": error_string,
"data": {}
}
data.update(kwargs)
return data
class MSSQL:
def __init__(self, host, user, pwd, db):
self.host = host
self.user = user
self.pwd = pwd
self.db = db
def __GetConnect(self):
if not self.db:
raise (NameError, "没有设置数据库信息")
self.conn = pymssql.connect(host=self.host, user=self.user, password=self.pwd, database=self.db, charset="GBK")
cur = self.conn.cursor()
if not cur:
raise (NameError, "连接数据库失败")
else:
return cur
def ExecQuery(self, sql):
cur = self.__GetConnect()
cur.execute(sql)
resList = cur.fetchall()
col_names = [desc[0] for desc in cur.description]
result = []
for row in resList:
objDict = {}
# 把每一行的数据遍历出来放到Dict中
for index, value in enumerate(row):
index, col_names[index], value
objDict[col_names[index]] = value
result.append(objDict)
# 查询完毕后必须关闭连接
self.conn.close()
return result
def ExecNonQuery(self, sql):
cur = self.__GetConnect()
cur.execute(sql)
self.conn.commit()
self.conn.close()然后设置好url就ok了，这是在Django框架下，fask框架下链接数据库模块依然可以使用
补充知识：使用pycharm连接数据库—Sqlalchemy
初识sqlalchemy
from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column,String,INTEGER #1.创建引擎 eng = create_engine(“mysql pymysql://root:admin@localhost/homework?charset=utf8”) print(eng) #2.创建基类 Base = declarative_base() #3.创建类（模型） class Student(Base): __tablename__=”student1″#指定表格名称 id = Column(INTEGER,primary_key=True,autoincrement=True) name = Column(String(32),nullable=False)#非空约束 email = Column(String(32),unique=True)#唯一约束
#4.创建表格 Base.metadata.create_all(eng) #5删除表格 Base.metadata.drop_all(eng)
创建出来的student1表
使用Sqlalchemy四部曲：
1、使用create_engine()#连接数据库
2、Base = declarative_base()# 生成orm基类，用于创建classes
3、Base.metadata.create_all(engine) #关联engine使用metadata创建数据库表
4、使用 session = Session(engine) #创建一个会话，便于后面对数据库进行实际操作
代码语言：javascript复制from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column,String,INTEGER
from sqlalchemy.orm import sessionmaker
#1.创建引擎
eng = create_engine("mysql pymysql://root:admin@localhost/homework?charset=utf8")
#2.创建基类
Base = declarative_base()
#3.创建类（模型）
class Student(Base):
__tablename__ = "student2"
id = Column(INTEGER,primary_key=True,autoincrement=True)
name = Column(String(32), nullable=False) # 非空约束
email = Column(String(32), unique=True) # 唯一约束
#4.创建表格
Base.metadata.create_all(eng)
#5.创建session
Session = sessionmaker(bind=eng)
session = Session()#创建session对象，相当于pymysql中的conn
#增加记录
# student = Student(name='刘备',email='120@qq.com')#创建student的对象
# session.add(student)#添加记录
# #批量增加
# session.add_all(
# [
# Student(name='张飞',email='110@qq.com'),
# Student(name='悟空',email='111@qq.com'),
# Student(name='宫本',email='112@qq.com'),
# Student(name='赵云',email='113@qq.com'),
# ]
# )
#查询操作
#first方法查询出第一条记录
# ret = session.query(Student).first()
# print(ret.id,ret.name,ret.email)
# #get方法查询指定记录
# student = session.query(Student).get(ident=2)#使用唯一标识ident不写也行查询第几条记录
# print(student.id,student.name,student.email)
#
# student = session.query(Student).filter(Student.id 2)#filter过滤相当于条件
# for stu in student:#这里的student是个对象，所以需要把他遍历出来显示查询出来的数据
# print(stu.id,stu.name,stu.email)
# #删除操作
# # student = session.query(Student).filter(Student.id<2).delete()
# # #方式一此方法可删除多个主要是因为filter，他是条件吗满足他的都可以被删除
# student1 = session.query(Student).get(2)
# session.delete(student1)#方式二
# #修改操作
#单条修改
# student3 =session.query(Student).first()
# student3.name='百度'
# student3.email='www.baidu.com'
#指定条件修改
student4 =session.query(Student).filter(Student.id ==3).update({Student.name:'王炸',Student.email:'666@qq.com'})
session.commit()#提交事务
session.close()
以上这篇python 链接sqlserver 写接口实例就是小编分享给大家的全部内容了，希望能给大家一个参考。
