Skip to main content

A powerful declarative parser/builder for binary data

Project description

Construct is a powerful declarative parser (and builder) for binary data.

Instead of writing imperative code to parse a piece of data, you declaratively define a data structure that describes your data. As this data structure is not code, you can use it in one direction to parse data into Pythonic objects, and in the other direction, build objects into binary data.

The library provides both simple, atomic constructs (such as integers of various sizes), as well as composite ones which allow you form hierarchical and sequential structures of increasing complexity. Construct features bit and byte granularity, easy debugging and testing, an easy-to-extend subclass system, and lots of primitive constructs to make your work easier:

  • Fields: raw bytes or numerical types

  • Structs and Sequences: combine simpler constructs into more complex ones

  • Bitwise: splitting bytes into bit-grained fields

  • Adapters: change how data is represented

  • Arrays/Ranges: duplicate constructs

  • Meta-constructs: use the context (history) to compute the size of data

  • If/Switch: branch the computational path based on the context

  • On-demand (lazy) parsing: read and parse only what you require

  • Pointers: jump from here to there in the data stream

Example

A Struct is a collection of ordered, named fields:

>>> format = Struct(
...     "signature" / Const(b"BMP"),
...     "width" / Int8ub,
...     "height" / Int8ub,
...     "pixels" / Array(this.width * this.height, Byte),
... )
>>> format.build(dict(width=3,height=2,pixels=[7,8,9,11,12,13]))
b'BMP\x03\x02\x07\x08\t\x0b\x0c\r'
>>> format.parse(b'BMP\x03\x02\x07\x08\t\x0b\x0c\r')
Container(signature=b'BMP')(width=3)(height=2)(pixels=[7, 8, 9, 11, 12, 13])

A Sequence is a collection of ordered fields, and differs from a Range in that latter is homogenous:

>>> format = PascalString(Byte, encoding="utf8") >> GreedyRange(Byte)
>>> format.build([u"lalalaland", [255,1,2]])
b'\nlalalaland\xff\x01\x02'
>>> format.parse(b"\x004361789432197")
['', [52, 51, 54, 49, 55, 56, 57, 52, 51, 50, 49, 57, 55]]

See more examples of file formats and network protocols in the repository.

Sticky

Version 2.5.5 is the previous stable release. If you are maintaining a project that depended on this framework for a long time, you should probably use this version. This branch is not actively maintained. Only bugfixes will be added.

Version 2.8 was released September, 2016. There are significant API and implementation changes. Fields are now name-less and operators / >> are used to construct Structs and Sequences. Most classes were redesigned and reimplemented. You should read the documentation again.

Development and support

Please use the github issues to ask general questions, make feature requests, report issues and bugs, and to send in patches. There is also the mailing list but GitHub should be preffered.

Construct’s main documentation is at construct.readthedocs.org, where you can find all kinds of examples. The library itself is developed on github. Releases are also available on pypi.

Construct3 is a different project. It is a rewrite from scratch and belongs to another developer, it diverged from this project. As far as I can tell, it was not released yet.

Requirements

Construct should run on any Python 2.6 2.7 3.3 3.4 3.5 and pypy pypy3 implementation.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

construct-2.8.4.tar.gz (695.4 kB view details)

Uploaded Source

File details

Details for the file construct-2.8.4.tar.gz.

File metadata

  • Download URL: construct-2.8.4.tar.gz
  • Upload date:
  • Size: 695.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for construct-2.8.4.tar.gz
Algorithm Hash digest
SHA256 e5cc4920efc1d26011902785d1384ca742399253bd9b325910c758b9dabdad09
MD5 97ccf73e6fdd9058fbf57d722316aefc
BLAKE2b-256 574776aa795a605583ff504fd9ba57f9c9cf2a07cef4148abf3efb4356250535

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