How to Set up Python Library for the Public Testnet

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1. Requirements

Install pip3 which will deal with the packages dependencies:

sudo apt-get install python3-pip

2. Installation

Afterwards, we can fetch the python libraries from github and install it:

git clone https://github.com/xeroc/python-graphenelib cd python-graphenelib/

pip3 install –user -r requirements.txt python3 setup.py install –user

3. Usage

The usage of this library is well documented on

• https://readthedocs.org/projects/python-graphenelib/

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Create MPAs/UIAs with Python

We now create some Market Pegged assets and construct the price feed.

• Create Market Pegged Assets:

  • https://github.com/BitSharesEurope/testnet-pythonscripts/blob/master/create_mpa.py

• Fund init* witnessses:

  • https://github.com/BitSharesEurope/testnet-pythonscripts/blob/master/fund-inits.py

• Price feed scripts:

  • https://github.com/BitSharesEurope/testnet-pythonscripts/blob/master/feed.last.py

  • https://github.com/BitSharesEurope/testnet-pythonscripts/blob/master/feed.parity.py

  • https://github.com/BitSharesEurope/testnet-pythonscripts/blob/master/feed.random.py

We can use cron to runt he price feed script on a regular basis:

*/15 * * * * /usr/bin/python3 /home/gph/testnet-pythonscripts/feed.last.py
*/15 * * * * /usr/bin/python3 /home/gph/testnet-pythonscripts/feed.random.py
0    * * * * /usr/bin/python3 /home/gph/testnet-pythonscripts/feed.parity.py