Python Flask Echarts数据可视化图表实战晋级笔记(2)@app.route装饰器的用法

导入对应模块

from flask import Flask
from flask import render_template
from flask import request
from flask import url_for, redirect
from mysql import DbMysql

app = Flask(__name__)

模版渲染&数据传递

# 直接输出页面
@app.route('/')
def index():
    data_name = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
    data_list = [150, 230, 224, 218, 135, 147, 260]
    return render_template('index.html', data_name=data_name, data_list=data_list)

对接MySql数据库

@app.route('/echarts')
def get_echarts():
    db = DbMysql()
    items = db.get_items()
    return render_template('echarts.html', items=items)

get路径参数

# get路径参数
@app.route('/api')
def get_api():
    # api?user=Flask&time=2021-09-15&page=7&pagesize=100
    print(request.path)
    print(request.full_path)
    # return request.args.get('user')  # 获取某个指定的参数
    return request.args.__str__()

动态url参数

@app.route('//index')
def get_lang(lang_code):
    return lang_code

跳转页面

# 跳转页面;
@app.route('/test')
def test():
    print('this is test1')
    return redirect(url_for('get_echarts'))


# with app.test_request_context():
#     print(url_for('index'))
#     print(url_for('get_test'))
#     print(url_for('get_echarts'))
    # print(url_for('user', name='lockdatav'))
    # print(url_for('page', num=1, q='hadoop mapreduce 10%3'))
    # print(url_for('static', filename='uploads/01.jpg'))

if __name__ == '__main__':
    app.run(host='localhost', port=8800, debug=True)

lockdatav Done!