This project is a part of http://github.com/Pyrlang/Pyrlang but does not depend on it and can be used separately.
The Term library adds support classes to represent Erlang terms in Python and implements a codec for encoding and decoding data in Erlang External Term Format (abbreviated ETF) written in Python and a native and (most likely) safe Python extension written in Rust.
The extension or Python implementation is selected automatically when you import
term.codec
and all API is available via term.codec
module. If native
extension was not found, a warning will be logged and the Python implementation
will be used.
If you just run
pip install pyrlang-term
the pure python version will be installed unless there exists a pre built binary.
If you want to build the native one, you'll need rust and a few more packages.
To install rust (from https://www.rust-lang.org/tools/install):
curl https://sh.rustup.rs -sSf | sh
Then install the build requirements before installing pyrlang-term:
pip install setuptools-rust semantic_version
pip install pyrlang-term
- Clone Term repository
- Install Term from source: Go to Term directory and
pip install -e .
To run the tests:
python -m unittest discover test
The native representation of atoms are found in term.atom
. There are Two
classes, Atom
and StrictAtom
. Atom
is the default, it will become an
atom when converting back to etf
, however it evaluates as string so it's
possible to use a map with atom keys as keyword argument.
The drawback of this is if you may have a map with both atoms and string /binaries with the same content
#{foo => <<"atom">>, "foo" => <<"list">>}
Then you'll get
In [1]: from term import codec
In [2]: data = bytes([131,116,0, ...])
In [3]: codec.binary_to_term(data)
Out[3]: ({Atom('foo'): b'list'}, b'')
To allow for this we've added another atom type StrictAtom
that will give you:
In [4]: codec.binary_to_term(data, {'atom': "StrictAtom"})
Out[4]: ({StrictAtom('foo'): b'atom', 'foo': b'list'}, b'')
Still StrictAtom('foo') == 'foo'
so it you need something different still, you
can put in your custom atom class
In [5]: class A:
...: def __init__(self, s):
...: self._s = s
...: def __repr__(self):
...: return 'A({})'.format(self._s)
...:
In [6]: codec.binary_to_term(data, {'atom_call': A})
Out[6]: ({A(foo): b'atom', 'foo': b'list'}, b'')
The 'atom_call'
option takes any callable that takes a string as input, and
the return value will be used for the atom representation. Only Atom
and
StrictAtom
can be natively parsed back to atom when decoded. If you roll your
own, make sure to use encode_hook
when encoding.