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pyasn1

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    Ilya Etingof authored
    The goal of this change is to make the decoder stopping on input
    data starvation and resuming from where it stopped whenever the
    caller decides to try again (hopefully making sure that some more
    input becomes available).
    
    This change makes it possible for the decoder to operate on streams
    of data (meaning that the entire DER blob might not be immediately
    available on input).
    
    On top of that, the decoder yields partially reconstructed ASN.1
    object on input starvation making it possible for the caller to
    inspect what has been decoded so far and possibly consume partial
    ASN.1 data.
    
    All these new feature are natively available through
    `StreamingDecoder` class. Previously published API is implemented
    as a thin wrapper on top of that ensuring backward compatibility.
    c9ce5f43
    History
    Name Last commit Last update
    .github
    docs
    pyasn1
    tests
    .gitignore
    .travis.yml
    CHANGES.rst
    LICENSE.rst
    MANIFEST.in
    README.md
    THANKS.txt
    TODO.rst
    devel-requirements.txt
    requirements.txt
    setup.cfg
    setup.py

    ASN.1 library for Python

    PyPI Python Versions Build status Coverage Status 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 2.4 up to Python 3.7
    • 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 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) 2005-2019, Ilya Etingof. All rights reserved.