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~

` # -*- coding:utf-8 -*-import hashlibimport hmacimport jsonimport pymssqlfrom requests import Responsefrom rest_framework import status, genericsfrom rest_framework.decorators import api_viewfrom rest_framework.views import APIViewfrom 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 reslistdef 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 passworddef json_success(data, code=200, foreign_penetrate=False, **kwargs): data = { "status": code, "msg": "成功", "data": data, } print(data) return datadef json_error(error_string="失败", code=500, **kwargs): data = { "status": code, "msg": error_string, "data": {} } data.update(kwargs) return dataclass MSSQL: def __init__(self, host, user, pwd, db): self.host = host self.user = user self.pwd = pwd self.db = dbdef __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 curdef 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 resultdef 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

from sqlalchemy import create_enginefrom sqlalchemy.ext.declarative import declarative_basefrom sqlalchemy import Column,String,INTEGERfrom 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sessionSession = 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='mit()#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，也希望大家多多支持。