mgekimghost

mgekimghost

mgek picture bed project, a flask simple picture bed

introduce

Based on flask1.0.3, sqlite database development, you need to be able to switch to mongoDB in the configuration file, a small localized image bed. All services are based on local public image bed services without connection. It supports user login, multi-file upload, image preview, and batch editing. , batch deletion, batch download, batch picture direct link generation

Online deployment issues

#2

?Not completed

• Use ajax to upload asynchronously and add an upload progress bar (completed)
• Direct link acquisition box after uploading the image
• Get direct links after uploading multiple files
• Deletion function of multiple pictures (basically completed)
• Picture information record
• Image adaptation problem for mobile devices (to be optimized)

Latest updates

• Update time 2019.8.28

• Optimized the button display logic for batch editing, and the click effect of the cancel button is more perfect.

• Optimized the display logic of images and sorted them according to the latest upload time

• Added a new Ajax asynchronous upload page to add an upload progress bar . Visit ajax_upload to enter the new upload page.

• Added about interface

• Update time 2019.8.30

• Add a login page and improve the login system

• Added batch image direct link acquisition page

• Optimize the upload page display, use partial refresh, and the image data will be updated immediately after uploading

?use

git clone https://github.com/Landers1037/mgekimghost.git

 #在项目目录下运行flask shell
$ flask shell
$ from app import db
$ db.create_all () #初始化数据库

pip install -r requirements.txt
python app.py
# ### if linux with nginx&gunicorn ###
sh start.sh

View local port 5000

start.sh content

 #! /bin/bash
nohup gunicorn -w 2 -b 127.0.0.1:5000 --reload app:app &
echo " check port 5000 "

Need to configure listening port 5000 on nginx

?Example

Main page

upload

Batch editing

Picture details page

delete

Upload history

New version upload page (ajax)

About page

Direct chain batch extraction

Login page

♻Customized

database

 SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os . path . join ( os . getcwd (), 'img.db' )

The default is sqlite, you can comment out this sentence and add the mongoDB database

™Copyright

Demo picture from wlop
Author of this application Landers
My homepageLanders1037