在python的WEB框架Flask中使用多个配置文件的解决方法
有些框架本身就支持多配置文件,例如Ruby On Rails,nodejs下的expressjs。python下的Flask虽然本身支持配置文件管理, 但单纯使用from_object和from_envvar却不是那么方便。有没有更好的办法?
答案是Flask-Environments这个包。它能通过FLASK_ENV环境变量自动选择开发环境配置或生产环境配置。使用之前要先安装:
然后修改config.py,将公用配置和默认配置写入Config类,针对环境的特殊配置写入各个环境的类:
# config.py
import os
class Config(object):
DEBUG = True
BASEDIR = os.path.abspath(os.path.dirname(__file__))
HOST = '0.0.0.0'
PORT = '8000'
class Development(Config): # inherit from Config
pass
class Production(Config):
DEBUG = False
HOST = '127.0.0.1
PORT = 14000
然后在生成app对象的地方加载配置:
from flask import Flask
from flask_environments import Environments
app = Flask(__name__)
env = Environments(app)
env.from_object('config')
这样默认通过app.run()方式启动时会加载开发配置。若要启动生产环境,则要先设置环境变量FLASK_ENV=PRODUCTION:
$ FLASK_ENV=PRODUCTION gunicorn -b 127.0.0.1:14000 myapp:app

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

HadiDB: A lightweight, high-level scalable Python database HadiDB (hadidb) is a lightweight database written in Python, with a high level of scalability. Install HadiDB using pip installation: pipinstallhadidb User Management Create user: createuser() method to create a new user. The authentication() method authenticates the user's identity. fromhadidb.operationimportuseruser_obj=user("admin","admin")user_obj.

MySQL Workbench can connect to MariaDB, provided that the configuration is correct. First select "MariaDB" as the connector type. In the connection configuration, set HOST, PORT, USER, PASSWORD, and DATABASE correctly. When testing the connection, check that the MariaDB service is started, whether the username and password are correct, whether the port number is correct, whether the firewall allows connections, and whether the database exists. In advanced usage, use connection pooling technology to optimize performance. Common errors include insufficient permissions, network connection problems, etc. When debugging errors, carefully analyze error information and use debugging tools. Optimizing network configuration can improve performance

It is impossible to view MongoDB password directly through Navicat because it is stored as hash values. How to retrieve lost passwords: 1. Reset passwords; 2. Check configuration files (may contain hash values); 3. Check codes (may hardcode passwords).

The MySQL connection may be due to the following reasons: MySQL service is not started, the firewall intercepts the connection, the port number is incorrect, the user name or password is incorrect, the listening address in my.cnf is improperly configured, etc. The troubleshooting steps include: 1. Check whether the MySQL service is running; 2. Adjust the firewall settings to allow MySQL to listen to port 3306; 3. Confirm that the port number is consistent with the actual port number; 4. Check whether the user name and password are correct; 5. Make sure the bind-address settings in my.cnf are correct.

MySQL can run without network connections for basic data storage and management. However, network connection is required for interaction with other systems, remote access, or using advanced features such as replication and clustering. Additionally, security measures (such as firewalls), performance optimization (choose the right network connection), and data backup are critical to connecting to the Internet.

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

As a data professional, you need to process large amounts of data from various sources. This can pose challenges to data management and analysis. Fortunately, two AWS services can help: AWS Glue and Amazon Athena.
