從零搭建一個tf2.0的web服務，包含mysql redis操作

從零搭建一個tf2.0的web服務，包含mysql redis

使用anaconda 來管理

https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/找一個使用自己環境的安裝包安裝

已mac爲例，下載對應版本後設置環境變量

echo "export PATH=\" xxx你的安裝路徑xxx \">>~/.bash_profile
source ~/.bash_profile

1.創建一個環境

conda create -n my_web python=3.6

然後激活該環境

conda activate my_web 或 其他環境 source activate my_web

2.安裝包 （使用豆瓣源 https://pypi.doubanio.com/simple/）

需要安裝flask tf2.0 mysql redis

pip install flask -i https://pypi.doubanio.com/simple/

pip install tensorflow==2.0.0a0 -i https://pypi.doubanio.com/simple/

pip install PyMySQL -i https://pypi.doubanio.com/simple/

pip install redis -i https://pypi.doubanio.com/simple/

3.實例

數據庫：

CREATE TABLE `user` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `name` varchar(50) NOT NULL,
  KEY `id` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8

import pymysql
from flask import Flask
from flask import jsonify, request
import time
import tensorflow as tf
import redis
print(tf.__version__)

app = Flask(__name__)

#數據庫實例
db = pymysql.connect("localhost", "root", "han123", "demo")
#redis實例
r = redis.Redis(host='0.0.0.0', port=6379)

@app.route('/')
def index():
    return 'Index Page'

@app.route('/tf_test')
def tf_test():
    """
    測試tf
    :return:
    """
    x = tf.Variable([[1., 2., 3.], [1., 2., 3.]])
    return str(tf.reshape(x, [3,2]))

@app.route('/tf')
def redis():
    """
    測試redis
    :return:
    """
    r.set('name', 'test')
    return(r.get('name'))

@app.route('/add')
def add():
    """
    數據庫添加
    :return:
    """
    username = request.args['name']
    if not username:
        return 'name invalid'
    cursor = db.cursor()
    print("INSERT INTO user (id, name) VALUES ({}, '{}');".format(int(time.time()), username))
    cursor.execute("INSERT INTO user (id, name) VALUES ({}, '{}');".format(int(time.time()), username))
    data = cursor.fetchall()
    cursor.close()
    return jsonify(data)

@app.route('/get')
def get():
    """
    數據庫獲取全部記錄
    :return:
    """
    cursor = db.cursor()
    cursor.execute("SELECT * FROM user")
    data = cursor.fetchall()
    cursor.close()
    return jsonify(data)

if __name__ == '__main__':
    app.run()