python蓝图、python拦截器、python统一异常处理、redis阻塞队列及redis连接池、线程池案例、控制台&日志文件输出
python
from flask import Flask, request, jsonify
from pythonFlask.views.account import ac
from pythonFlask.views.order import order
import sys
import threading
import logging
import time
import redis
from redis.connection import ConnectionPool
import uuid
from concurrent.futures import ThreadPoolExecutor
REDIS_CONFIG = {
"max_connections": 20, # 连接池最大连接数
"host": "XXXXXXX",
"port": 6379,
"db": 1,
"password": "XXXXXX", # 有密码填字符串,无则None
"decode_responses": True, # 自动bytes转str,不用手动decode
"socket_timeout": None, # 连接超时
"retry_on_timeout": True,
"socket_keepalive": True
}
# redis客户端
redisClient = redis.Redis(connection_pool=ConnectionPool(**REDIS_CONFIG))
# 日志
logging.basicConfig(filename="info.log", level=logging.INFO, encoding="UTF-8", filemode="w")
# 新增控制台输出
console = logging.StreamHandler(sys.stdout)
console.setLevel(logging.INFO)
logging.getLogger().addHandler(console)
TASK_QUEUE_NAME = "task_queue"
# @app.before_request 或者 app.before_request(auth)
def auth():
logging.info(f"url:{request.path}")
token = request.headers.get("token")
print(request.path)
print("读取token:", token)
print("读取环境:", request.headers,
type(request.headers)) # <class 'werkzeug.datastructures.headers.EnvironHeaders'>
if request.method == "OPTIONS": #
return # return代表方法结束,不拦截
if request.path.startswith("/api/user/login"):
return # return代表方法结束,不拦截
if not token:
# 如何拦截?直接抛异常
raise Exception("need login first") # 抛出异常中断程序
###############################主应用开始########################################
app = Flask(__name__)
@app.errorhandler(500)
def internal_error(error):
exc_type, exc_value, exc_traceback = sys.exc_info()
# 安全获取异常信息
if exc_value.args:
message = str(exc_value.args[0])
else:
message = "服务器内部错误,请联系管理员"
error_dict = {
'success': False,
'message': message,
'data': None
}
logging.error(f"error:{error}")
logging.error(f"error_message::{message}")
return jsonify(error_dict), 500 # 如果你只返回 json、状态码依旧是 200。这里多返回一个500客户端本次请求结果:服务器内部错误
# 注册蓝图
app.register_blueprint(ac, url_prefix="/api/user")
app.register_blueprint(order, url_prefix="/api/order")
# 注册拦截器
app.before_request(auth) # 这行代码等价@app.before_request
# 注册统一错误 处理
# app.errorhandle
# r(500)(internal_error) 已通过@app.errorhandler(500)包装
###############################主应用结束########################################
def publish(name):
logging.info(name)
flag = True
while True:
if flag:
# 初始化塞入10条数据
logging.info("一次性塞入10条订单")
for x in range(10):
redisClient.lpush(TASK_QUEUE_NAME, str(uuid.uuid4()))
flag = False
time.sleep(2)
# 每2秒往redis队列塞一条
new_order = str(uuid.uuid4())
logging.info(f"【{threading.currentThread().getName()}】,生成新订单:{new_order}")
redisClient.lpush(TASK_QUEUE_NAME, new_order)
def task_execute_function(name, task_uid):
logging.info(f"【线程:{threading.currentThread().getName()}】,{name}开始处理订单:{task_uid}")
# 在这里写真实订单业务逻辑
time.sleep(3)
logging.info(f"【线程:{threading.currentThread().getName()}】,{name}完成处理订单:{task_uid}")
def worker(name):
# ✅ 线程池只创建一次!放到循环外面
# 线程池
# from concurrent.futures import ThreadPoolExecutor
thread_pool = ThreadPoolExecutor(max_workers=10, thread_name_prefix="order_thread")
try:
while True:
#queuename, task_str
_, task_uuid_str = redisClient.brpop([TASK_QUEUE_NAME])
# 提交任务到线程池并发执行
thread_pool.submit(task_execute_function, name, task_uuid_str)
finally:
# 程序退出时优雅关闭线程池
#wait = Ture:当前调用 shutdown 的线程阻塞等待,线程池中已经提交、正在运行的任务全部执行完毕
thread_pool.shutdown(wait=True)
if __name__ == '__main__':
# 启动一个守护线程,不断的读取队列
threading.Thread(target=publish, args=("订单队列启动!",), daemon=True).start()
threading.Thread(target=worker, args=("订单处理者",), daemon=True).start()
redisClient.delete(TASK_QUEUE_NAME)
app.run()
python
#包pythonFlask.views.account.py
from flask import Blueprint
ac = Blueprint("account",__name__)
@ac.route("/login", methods=["get","POST"])
def login():
return "登录"
#包pythonFlask.views.order.py
from flask import Blueprint
order = Blueprint("order",__name__)
@order.route("/order_list")
def order_list():
return "订单列表"