A simple python script for working with Netlab API

Download source code

git clone https://github.com/Sh1Fu/Netlab.git

Create a venv and install the necessary dependencies:

python3 -m venv <venv_name>
source <venv_name>/bin/activate
pip3 install -r requirements.txt

Add your credentials to OS Environment Variable: Useful Info

Variable's names:

• FTP_USERNAME
• FTP_PASSWORD
• FTP_IP
• FTP_PORT
• SHOP_ADDR

    _   __     __  __      __  
   / | / /__  / /_/ /___ _/ /_ 
  /  |/ / _ \/ __/ / __ `/ __ \
 / /|  /  __/ /_/ / /_/ / /_/ /
/_/ |_/\___/\__/_/\__,_/_.___/ 
                               

usage: main.py [-h] [-u U] [-p P] [-m {1,2,3}] [--proxy]

options:
  -h, --help         show this help message and exit
  -u U, -username U  <username> => set username from Netlab API
  -p P, -password P  <password> => set password to Netlab user
  -m {1,2,3}         mode => set current working mode (1 - Only default price, 2 - Only configuration price, 3 - Price with images)
  --proxy            Use proxy while images are finding

  

Run main.py from main directory

python3 main.py

• Write your API username form Netlab service
• Write your API password form Netlab service
• Choose one of the following options
  • Only default price
  • Only configuration price
  • Default price with images
  • Delete all previous price files

0 0 * * 1,3,5 cd /home/<user>/Netlab/ &&  /home/<user>/Netlab/venv/bin/python3 main.py -u <API_NAME> -p <API_PASSWD> -m 1 --proxy

Note: Check and adjust the time on the machine

This file contains categories from the Netlab API. For each of them an additional field count has been entered, which shows the markup that is done for each product category. You can change it to suit your needs

Some places in the code are subject to change. For example, if you do not want to check that the manufacturer is CMO, you can remove the corresponding block Just keep in mind that this code is usually a turnkey solution for the customer

If you want to take Pandas DataFrame object run script like this:

python3 main.py -u <username> -p <password> -m 4

price_update will return DataFrame object