Assinatura de documentos com certificados digitais A1 e A3

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  • License: MIT License (MIT license)
  • Author: Luis Felipe Mileo
  • Requires: Python >=3.5, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
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Project description

Manipulação de certificados digitais, A1 e A3, em Python, facilitando:

  • Assinatura de documentos PDF

  • Assinatura de documentos fiscais (XML)

Esta biblioteca faz parte do projeto: https://erpbrasil.github.io/

Documentação

https://erpbrasil.github.io/

Créditos

Esta é uma biblioteca criada atravês do esforço de das empresas:

Por favor consulte a lista de contribuidores: https://github.com/erpbrasil/erpbrasil.assinatura/graphs/contributors

Licença

  • Free software: MIT license

Windows installation

Prerequisites

  • Install swig (and add swig install folder to PATH environment variable)

Ubuntu Installation

sudo apt-get update
sudo apt-get install swig
pip install erpbrasil.assinatura

Documentation

https://erpbrasilassinatura.readthedocs.io/en/latest/

Development

To run the all tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows

 
set PYTEST_ADDOPTS=--cov-append
tox

Other

 
PYTEST_ADDOPTS=--cov-append tox

Changelog

0.0.0 (2019-04-18)

  • First release on PyPI.

0.3.0 (2019-11-19)

  • Correção da importação da biblioteca e seu namespace

0.4.0 (2019-11-20)

  • Acesso aos dados do certificado: Proprietário e CNPJ/CPF caso exista

0.4.1 (2019-11-25)

  • Compatibilidade com python 2

  • Correção na assinatura

0.4.2 (2019-11-26)

  • Concatenar somente o elemento assinado no momento, sem mover os outros elementos de bloco. Por exemplo um lote de rps já assinados deve compor um bloco assinado, ao assinar este bloco as outras assinaturas não devem ser modificadas.

1.0.0 (2020-11-10)

  • Fim do suporte ao python2

  • Estabilização dos testes

1.2.0 (2021-05-26)

  • Assinatura da nota paulista (Infelizmente com o XMLSEC, tiramos ele em uma nova versão)

Project details

Verified details

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Avatar for akretion from gravatar.com akretion Avatar for kmee from gravatar.com kmee Avatar for marcelsavegnago from gravatar.com marcelsavegnago Avatar for mileo from gravatar.com mileo Avatar for netosjb from gravatar.com netosjb Avatar for renatonlima from gravatar.com renatonlima Avatar for ygor.carvalho from gravatar.com ygor.carvalho

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These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT license)
  • Author: Luis Felipe Mileo
  • Requires: Python >=3.5, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Classifiers

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1.7.0

1.6.0

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1.2.0

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0.6.0

0.5.2

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0.4.2

0.4.1

0.3.0

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0.1.0

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