Skip to main content

Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)

Reason this release was yanked:

Users should use just pyasn1

Project description

ASN.1 library for Python

PyPI Python Versions GitHub license

This is a free and open source implementation of ASN.1 types and codecs as a Python package. It has been first written to support particular protocol (SNMP) but then generalized to be suitable for a wide range of protocols based on ASN.1 specification.

Features

  • Generic implementation of ASN.1 types (X.208)
  • Standards compliant BER/CER/DER codecs
  • Can operate on streams of serialized data
  • Dumps/loads ASN.1 structures from Python types
  • 100% Python, works with Python 2.7 and 3.5+
  • MT-safe
  • Contributed ASN.1 compiler Asn1ate

Why using pyasn1

ASN.1 solves the data serialisation problem. This solution was designed long ago by the wise Ancients. Back then, they did not have the luxury of wasting bits. That is why ASN.1 is designed to serialise data structures of unbounded complexity into something compact and efficient when it comes to processing the data.

That probably explains why many network protocols and file formats still rely on the 30+ years old technology. Including a number of high-profile Internet protocols and file formats.

Quite a number of books cover the topic of ASN.1. Communication between heterogeneous systems by Olivier Dubuisson is one of those high quality books freely available on the Internet.

The pyasn1 package is designed to help Python programmers tackling network protocols and file formats at the comfort of their Python prompt. The tool struggles to capture all aspects of a rather complicated ASN.1 system and to represent it on the Python terms.

How to use pyasn1

With pyasn1 you can build Python objects from ASN.1 data structures. For example, the following ASN.1 data structure:

Record ::= SEQUENCE {
  id        INTEGER,
  room  [0] INTEGER OPTIONAL,
  house [1] INTEGER DEFAULT 0
}

Could be expressed in pyasn1 like this:

class Record(Sequence):
    componentType = NamedTypes(
        NamedType('id', Integer()),
        OptionalNamedType(
            'room', Integer().subtype(
                implicitTag=Tag(tagClassContext, tagFormatSimple, 0)
            )
        ),
        DefaultedNamedType(
            'house', Integer(0).subtype(
                implicitTag=Tag(tagClassContext, tagFormatSimple, 1)
            )
        )
    )

It is in the spirit of ASN.1 to take abstract data description and turn it into a programming language specific form. Once you have your ASN.1 data structure expressed in Python, you can use it along the lines of similar Python type (e.g. ASN.1 SET is similar to Python dict, SET OF to list):

>>> record = Record()
>>> record['id'] = 123
>>> record['room'] = 321
>>> str(record)
Record:
 id=123
 room=321
>>>

Part of the power of ASN.1 comes from its serialisation features. You can serialise your data structure and send it over the network.

>>> from pyasn1.codec.der.encoder import encode
>>> substrate = encode(record)
>>> hexdump(substrate)
00000: 30 07 02 01 7B 80 02 01 41

Conversely, you can turn serialised ASN.1 content, as received from network or read from a file, into a Python object which you can introspect, modify, encode and send back.

>>> from pyasn1.codec.der.decoder import decode
>>> received_record, rest_of_substrate = decode(substrate, asn1Spec=Record())
>>>
>>> for field in received_record:
>>>    print('{} is {}'.format(field, received_record[field]))
id is 123
room is 321
house is 0
>>>
>>> record == received_record
True
>>> received_record.update(room=123)
>>> substrate = encode(received_record)
>>> hexdump(substrate)
00000: 30 06 02 01 7B 80 01 7B

The pyasn1 classes struggle to emulate their Python prototypes (e.g. int, list, dict etc.). But ASN.1 types exhibit more complicated behaviour. To make life easier for a Pythonista, they can turn their pyasn1 classes into Python built-ins:

>>> from pyasn1.codec.native.encoder import encode
>>> encode(record)
{'id': 123, 'room': 321, 'house': 0}

Or vice-versa -- you can initialize an ASN.1 structure from a tree of Python objects:

>>> from pyasn1.codec.native.decoder import decode
>>> record = decode({'id': 123, 'room': 321, 'house': 0}, asn1Spec=Record())
>>> str(record)
Record:
 id=123
 room=321
>>>

With ASN.1 design, serialisation codecs are decoupled from data objects, so you could turn every single ASN.1 object into many different serialised forms. As of this moment, pyasn1 supports BER, DER, CER and Python built-ins codecs. The extremely compact PER encoding is expected to be introduced in the upcoming pyasn1 release.

More information on pyasn1 APIs can be found in the documentation, compiled ASN.1 modules for different protocols and file formats could be found in the pyasn1-modules repo.

How to get pyasn1

The pyasn1 package is distributed under terms and conditions of 2-clause BSD license. Source code is freely available as a GitHub repo.

You could pip install pyasn1-lextudio or download it from PyPI.

If something does not work as expected, open an issue at GitHub or post your question on Stack Overflow or try browsing pyasn1 mailing list archives.

Copyright (c) 2005-2020, Ilya Etingof. Copyright (c) 2022, LeXtudio Inc.. All rights reserved.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyasn1_lextudio-0.4.9.tar.gz (132.1 kB view details)

Uploaded Source

Built Distribution

pyasn1_lextudio-0.4.9-py3-none-any.whl (82.5 kB view details)

Uploaded Python 3

File details

Details for the file pyasn1_lextudio-0.4.9.tar.gz.

File metadata

  • Download URL: pyasn1_lextudio-0.4.9.tar.gz
  • Upload date:
  • Size: 132.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.7.13 Darwin/22.1.0

File hashes

Hashes for pyasn1_lextudio-0.4.9.tar.gz
Algorithm Hash digest
SHA256 b7408a2c314f17b885fee909a3268e7774071f47ea17a5225a2ca2e7667639d9
MD5 7fcbce9368148955a8cf0f45720e8ab7
BLAKE2b-256 05cd1fd48e18a6adb3ad82d76527645902536878c095c6e2b825f560b4d21c49

See more details on using hashes here.

File details

Details for the file pyasn1_lextudio-0.4.9-py3-none-any.whl.

File metadata

  • Download URL: pyasn1_lextudio-0.4.9-py3-none-any.whl
  • Upload date:
  • Size: 82.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.7.13 Darwin/22.1.0

File hashes

Hashes for pyasn1_lextudio-0.4.9-py3-none-any.whl
Algorithm Hash digest
SHA256 8dd9e92a7c9bfa285a7d6bdfaa39e2034a44be708e47d035c0a0a4262a807ad0
MD5 485d475c28f23e5041b554d824189fe0
BLAKE2b-256 133fcba35071e2a2caf9708bb2a7361ad57ff233bd51daf1bf2f23243b60d795

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page