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duniterpy

Moul's avatar
Moul authored
Disable E0401 (import-error) which checks for run time dependencies
not found outside of Poetry virtual environment

Move lint job to 'checks' stage since it's going faster without
dev dependencies installation
baab6cd0
History

DuniterPy

Most complete client oriented Python library for Duniter/Ğ1 ecosystem.

This library was originally developed for Sakia desktop client which is now discontinued. It is currently used by following programs:

  • Tikka, the desktop client (Work In Progress, not yet available).
  • Silkaj, command line client.
  • Jaklis, command line client for Cs+/Gchange pods.
  • Ğ1Dons, Ğ1Dons, paper-wallet generator aimed at giving tips in Ğ1.

Features

Network

  • APIs support: BMA, GVA, WS2P, and CS+:
    • Basic Merkle API, first Duniter API to be deprecated
    • GraphQL Verification API, Duniter API in developement meant to replace BMA. Based on GraphQL.
    • Websocket to Peer, Duniter inter-nodes (servers) API
    • Cesium+, non-Duniter API, used to store profile data related to the blockchain as well as ads for Cesium and Ğchange.
  • Non-threaded asynchronous/synchronous connections
  • Support HTTP, HTTPS, and WebSocket transport for the APIs
  • Endpoints management

Blockchain

  • Support Duniter blockchain protocol
  • Duniter documents management: transaction, block and WoT documents
  • Multiple authentication methods
  • Duniter signing key
  • Sign/verify and encrypt/decrypt messages with Duniter credentials

Requirements

Installation

You will require following dependencies:

sudo apt install python3-pip python3-dev python3-wheel libsodium23

You can install DuniterPy and its dependencies with following command:

pip3 install duniterpy --user

Install the development environment

Documentation

Online official automaticaly generated documentation

Examples

The examples folder contains scripts to help you!

  • Have a look at the examples folder
  • Run examples from parent folder directly
poetry run python examples/request_data.py

Or from Python interpreter:

poetry run python
>>> import examples
>>> help(examples)
>>> examples.create_public_key()

request_data_async example requires to be run with asyncio:

>>> import examples, asyncio
>>> asyncio.get_event_loop().run_until_complete(examples.request_data_async())

How to generate and read locally the autodoc

  • Install Sphinx, included into the development dependencies:
poetry install
  • Generate documentation
poetry run make docs
  • The HTML documentation is generated in docs/_build/html folder.

Development

poetry install --no-dev
  • Before submitting a merge requests, please check the static typing and tests.

  • Install dev dependencies

poetry install
  • Check static typing with mypy
make check
  • Run all unit tests (builtin unittest module) with:
make tests
  • Run only some unit tests by passing a special ENV variable:
make tests TESTS_FILTER=tests.documents.test_block.TestBlock.test_fromraw

Packaging and deploy

PyPI

Change and commit and tag the new version number (semantic version number)

./release.sh 0.42.3

Build the PyPI package in the dist folder

make build

Deploy the package to PyPI test repository (prefix the command with a space for the shell to not save it in its history system, since the command contains credentials)

[SPACE]make deploy_test PYPI_TEST_LOGIN=xxxx PYPI_TEST_PASSWORD=xxxx

Install the package from PyPI test repository

pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.python.org/simple/ duniterpy

Deploy the package on the PyPI repository (prefix the command with a space for the shell to not save it in its history system, since the command contains credentials)

[SPACE]make deploy PYPI_LOGIN=xxxx PYPI_PASSWORD=xxxx

Packaging status

Packaging status