Skip to content

Latest commit

 

History

History
217 lines (166 loc) · 5.29 KB

installation.md

File metadata and controls

217 lines (166 loc) · 5.29 KB
Raw

Installation

Go back to the README.

Content

Basic installation

Use Git to clone this repository with --recurse-submodules to include lbrytools with the rest of the code:

git clone --recurse-submodules https://github.com/belikor/lbrydseed

After cloning you should have the following structure:

lbrydseed/
    dseed.py
    lbrytools/
    lbseed/

Go back to Content

Requisites

The basic requisites to run the program are:

  • lbrynet, the LBRY daemon
  • Python 3, and the packages
    • tkinter
    • requests
    • emoji
    • lbrytools
    • matplotlib (optional)

Go back to Content

LBRY daemon

You must have the LBRY Desktop application or the lbrynet client. Get them from lbry.com/get.

Go back to Content

Python

Most Linux distributions come with Python ready to use; for Windows you may need to get the official package, or a full featured distribution such as Anaconda. In Windows, make sure the Python executable is added to the PATH so that it can be launched from anywhere in your system.

The program uses the tkinter module which makes the Tk graphical libraries available in Python. These libraries are normally distributed together with Python although you may have to verify that they are actually installed:

sudo apt install python-tk
sudo apt install python3-tk  # for Ubuntu
sudo pacman -S tk  # for Arch

The requests library is necessary to communicate with the LBRY daemon; the emoji module is used to clean up emojis from the output:

python -m pip install --user requests emoji
python3 -m pip install --user requests emoji  # for Ubuntu

To install Python packages the pip package manager is used. If this is not installed it can be installed:

sudo apt install python-pip
sudo apt install python3-pip  # for Ubuntu
sudo pacman -S python-pip  # for Arch

On Windows, most prerequisites can be installed using pip, although a big distribution like Anaconda may be easier to use, as it contains many packages already.

Go back to Content

lbrytools

You must have the lbrytools library.

You can download it manually or clone this repository with --recurse-submodules in order to achieve the following structure:

lbrydseed/
    dseed.py
    lbrytools/
    lbseed/

Go back to Content

Updating

To update the program's code, make sure you are in the lbrydseed/ directory:

cd lbrydseed/
git pull

The lbrytools library is hosted in its own repository, and is used in this program as a submodule. To update this component:

git submodule update --remote --rebase lbrytools/

If this causes merging errors you may have to update the submodule manually:

cd lbrydseed/lbrytools/
git fetch
git reset --hard FETCH_HEAD

Go back to Content

System wide installation

This is optional, and only required if you want to have the libraries available in your entire system.

Copy the lbrytools directory (the one with an __init__.py) and the lbseed directory (also with an __init__.py), and place them inside a site-packages directory that is searched by Python.

This could be a local directory speciffic to the user:

/home/user/.local/lib/python3.8/site-packages/lbrytools
/home/user/.local/lib/python3.8/site-packages/lbseed

Or a system-wide directory:

/usr/local/lib/python3.8/dist-packages/lbrytools
/usr/local/lib/python3.8/dist-packages/lbseed
/usr/lib/python3/dist-packages/lbrytools
/usr/lib/python3/dist-packages/lbseed

Then place dseed.py wherever you want, and run it from there.

Go back to Content

Environmental variables

This is optional. Instead of moving the lbrytools and lbseed libraries, simply add them to the PYTHONPATH environmental variable. We must add the parent directory containing these libraries. For example, if

/top1/
    lbseed/
/top2/pkg/
    lbrytools/

the variable would be

PYTHONPATH="/top1:/top2/pkg:$PYTHONPATH"

Go back to Content

Optional

The matplotlib library is optional, and only needed to plot the histograms in the "Seeding ratio" page.

python -m pip install --user matplotlib
python3 -m pip install --user matplotlib  # for Ubuntu

Go back to Content

Setuptools

We can use setuptools with its standard options to generate a directory (build/lib/) or archive (dist/) with the necessary files:

python setup.py build
python setup.py sdist
python setup.py clean
python setup.py clean --all

Go back to Content

AppImage

We can create an AppImage by running a single script:

bash create_appimage.sh

It will download some auxiliary tools and plugins, then it will create an AppDir directory to be used with the downloaded appimagetool to produce the final AppImage.

Go back to Content