安装
pip install flask-restful
基本使用
from flask import Flask
from flask_restful import Api, Resource
app = Flask(__name__)
# 1.创建api对象,用来管理资源(类视图)
api = Api(app)
# 2.定义类视图
class DemoView(Resource):
def get(self):
# 类视图返回的响应,默认返回application/json
# 类视图可以直接返回字典,自动转换为json
return {'message': 'get'}
def post(self):
return {'message': 'post'}
# 3.添加类视图, 类视图的函数标记默认为类名的小写,可以通过endpoint来修改
api.add_resource(DemoView, '/', endpoint='demo')
if __name__ == '__main__':
app.run(debug=True)
蓝图设置类视图
main.py文件
from flask import Flask
from user import user_blue
app = Flask(__name__)
# 4.注册蓝图
app.register_blueprint(user_blue)
if __name__ == '__main__':
app.run(debug=True)
user文件下__init__.py文件
from flask import Blueprint
from flask_restful import Api
from user.views import DemoView
# 1.创建蓝图对象
user_blue = Blueprint('user_b', __name__, url_prefix='/user')
# 2.创建api对象
user_api = Api(user_blue)
# 3.添加类视图
user_api.add_resource(DemoView, '/', endpoint='demo')
user文件下views.py文件
from flask_restful import Resource
class DemoView(Resource):
def get(self):
return {'message': 'get'}
def post(self):
return {'message': 'post'}
类视图设置装饰器
from flask import Flask
from flask_restful import Resource, Api
app = Flask(__name__)
api = Api(app)
def deco1(f):
def wrapper(*args, **kwargs):
print('装饰器1')
return f(*args, **kwargs)
return wrapper
def deco2(f):
def wrapper(*args, **kwargs):
print('装饰器2')
return f(*args, **kwargs)
return wrapper
class DemoResource(Resource):
# method_decorators = [deco1, deco2] # 列表形式,所有的接口都使用这些装饰器
method_decorators = {
'get': [deco1],
'post': [deco1, deco2]
} # 字典形式,指定接口的装饰器
def get(self):
return {'message': 'get'}
def post(self):
return {'message': 'post'}
api.add_resource(DemoResource, '/', endpoint='demo')
if __name__ == '__main__':
app.run(debug=True)
请求解析
import re
from flask import Flask
from flask_restful import Resource, Api
from flask_restful.inputs import boolean, date, datetime_from_iso8601, int_range, regex
from flask_restful.reqparse import RequestParser
app = Flask(__name__)
api = Api(app)
'''
default:设置参数的默认值,如果没有传参会使用
required:是否必要,默认非必要,如果设置为True,没有传参会返回400
location:指定参数解析的位置 args/form/json/data/files/headers/cookies
type:指定参数转换的类型(格式转换&格式校验) int 内置类型 自定义
'''
# 自定义转换类型
def func1(value): # value就是解析出的参数
# 格式校验
if re.match(r'^user:', value):
# 取出目标数据
return value[5:]
else:
raise ValueError('Error:name paran error')
class DemoResource(Resource):
def get(self):
# 1.创建请求解析器
parser = RequestParser()
# 2.添加参数规则
parser.add_argument('name')
parser.add_argument('age')
# 3.请求解析 默认会从查询字符串/post键值对/json字符串
args = parser.parse_args()
# 4.通过属性的方式取出参数
print(args.name)
print(args.age)
return {'message': 'get'}
def post(self):
# 1.创建请求解析器
parser = RequestParser()
# 2.添加参数规则
# parser.add_argument('name', required=True, location='args') # 设置必传,解析位置为查询字符串
# parser.add_argument('age', default=10) # 未传参数时,设置默认值10
parser.add_argument('age', type=int) # 转为整形
# parser.add_argument('age', type=boolean) # 转为Bool类型 1/0 true/false
# parser.add_argument('age', type=date) # 转为datetime类型 2019-10-01
# parser.add_argument('age', type=datetime_from_iso8601) # 转为datetime类型 2012-01-01T23:30:00+02:00 日期+时间
# parser.add_argument('age', type=int_range(10, 30)) # 转为整型,限定整数范围
# parser.add_argument('age', type=regex(r'^1[3-9]\d{9}$')) # 正则格式校验
parser.add_argument('name', type=func1) # 使用自定义的类型
# 3.请求解析 默认会从查询字符串/post键值对/json字符串
args = parser.parse_args()
# 4.通过属性的方式取出参数
print(args.name)
print(args.age)
return {'message': 'post'}
api.add_resource(DemoResource, '/', endpoint='demo')
if __name__ == '__main__':
app.run(debug=True)
序列化
from flask import Flask
from flask_restful import Resource, Api, fields, marshal, marshal_with
app = Flask(__name__)
api = Api(app)
class User:
def __init__(self):
self.name = 'zs'
self.age = 20
self.height = 1.98
def to_dict(self):
return {
'username': self.name,
'age': self.age,
'height': self.height
}
user_fields = {
'username': fields.String(attribute='name'),
'age': fields.Integer
}
class DemoResource(Resource):
def get(self):
user1 = User() # 从数据库中查询出来
return marshal(user1, user_fields)
@marshal_with(user_fields) # 装饰器用法
def post(self):
user2 = User()
return user2
def put(self):
user3 = User()
return user3.to_dict()
api.add_resource(DemoResource, '/', endpoint='demo')
if __name__ == '__main__':
app.run(debug=True)
自定义json
from flask import Flask
from flask_restful import Resource, Api, fields, marshal
from flask import make_response, current_app
from flask_restful.utils import PY3
from json import dumps
app = Flask(__name__)
api = Api(app)
class User:
def __init__(self):
self.name = 'zs'
self.age = 20
self.height = 1.98
user_fields = {
'username': fields.String(attribute='name'),
'age': fields.Integer
}
class DemoResource(Resource):
def get(self):
user1 = User() # 从数据库中查询出来
return marshal(user1, user_fields)
api.add_resource(DemoResource, '/', endpoint='demo')
@api.representation('application/json') # 指定数据类型对应的转换函数
def output_json(data, code, headers=None):
"""Makes a Flask response with a JSON encoded body"""
# 给字典设置外层包装
if 'data' not in data:
data = {
'message': 'ok',
'data': data
}
settings = current_app.config.get('RESTFUL_JSON', {})
# If we're in debug mode, and the indent is not set, we set it to a
# reasonable value here. Note that this won't override any existing value
# that was set. We also set the "sort_keys" value.
if current_app.debug:
settings.setdefault('indent', 4)
settings.setdefault('sort_keys', not PY3)
# always end the json dumps with a new line
# see https://github.com/mitsuhiko/flask/pull/1262
dumped = dumps(data, **settings) + "\n"
resp = make_response(dumped, code)
resp.headers.extend(headers or {})
return resp
if __name__ == '__main__':
app.run(debug=True)