In this tutorial we'll see how to add HDF5 serialization to classes. Let's start with defining a simple class:
.. ipython:: In [0]: class Snek: ...: def __init__(self, length): ...: self.length = length ...: def __repr__(self): ...: return '≻:' + '=' * self.length + '>···' ...: In [0]: Snek(10)
To make this Snek HDF5 serializable, we need to answer these questions three:
- How is the Snek serialized to HDF5?
- How is the HDF5 converted back into a Snek?
- What is :strike:`your favourite colour` the unique tag identifying the Snek class?
To define how the Snek is serialized to HDF5, we add a to_hdf5
method. This method is passed a hdf5_handle
, which is a :py:class:`h5py.File<File>` or :py:class:`h5py.Group<Group>` defining the (current) root of the HDF5 file where the object should be added.
For de-serialization, the from_hdf5
classmethod should be implemented. Again, this method is passed a hdf5_handle
. It should return the deserialized object.
Finally, the :func:`.subscribe_hdf5` class decorator is used to define a unique type_tag
which identifies this class.
Note
The type_tag
needs to be unique across all projects using fsc.hdf5_io
. For this reason, you should always prepend it with the name of your module.
.. ipython:: In [0]: from fsc.hdf5_io import subscribe_hdf5, HDF5Enabled In [0]: @subscribe_hdf5('my_snek_module.snek') ...: class HDF5Snek(Snek, HDF5Enabled): ...: def to_hdf5(self, hdf5_handle): ...: hdf5_handle['length'] = self.length ...: @classmethod ...: def from_hdf5(cls, hdf5_handle): ...: return cls(hdf5_handle['length'][()]) ...: In [0]: HDF5Snek(12)
Notice also that we inherit from :class:`.HDF5Enabled`. This abstract base class checks for the existence of the HDF5 (de-)serialization functions, and adds methods to_hdf5_file
and from_hdf5_file
to save and load directly to a file.
Now we can use the :func:`.save` and :func:`.load` methods to save and load Sneks in HDF5 format:
.. ipython:: In [0]: from fsc.hdf5_io import save, load In [0]: from tempfile import NamedTemporaryFile In [0]: mysnek = HDF5Snek(12) In [0]: with NamedTemporaryFile() as f: ...: save(mysnek, f.name) ...: snek_clone = load(f.name) In [0]: snek_clone
You can also save and load lists or dictionaries containing Sneks:
.. ipython:: In [0]: with NamedTemporaryFile() as f: ...: save([HDF5Snek(2), HDF5Snek(4)], f.name) ...: snek_2, snek_4 = load(f.name) In [0]: print(snek_2, snek_4)
A common use case is to serialize all the attributes of an object, a base
class :class:`.SimpleHDF5Mapping` exists for this case. A subclass needs to
define a lists HDF5_ATTRIBUTES
of attributes that should be serialized.
The attribute names must be the same as the arguments accepted by the
constructor.
We can re-write the Snek
as
.. ipython:: In [0]: from fsc.hdf5_io import SimpleHDF5Mapping In [0]: @subscribe_hdf5('my_snek_module.simplified_snek') ...: class SimplifiedHDF5Snek(Snek, SimpleHDF5Mapping): ...: HDF5_ATTRIBUTES = ['length'] In [0]: new_snek = SimplifiedHDF5Snek(9) In [0]: with NamedTemporaryFile() as f: ...: save(new_snek, f.name) ...: new_snek_clone = load(f.name) In [0]: new_snek_clone
We can extend the Snek functionality by adding a list of friends:
.. ipython:: In [0]: @subscribe_hdf5('my_snek_module.snek_with_friends') ...: class SnekWithFriends(SimplifiedHDF5Snek): ...: HDF5_ATTRIBUTES = SimplifiedHDF5Snek.HDF5_ATTRIBUTES + ['friends'] ...: def __init__(self, length, friends): ...: super().__init__(length) ...: self.friends = friends In [0]: snek_with_friends = SnekWithFriends(3, friends=[mysnek, new_snek]) In [0]: snek_with_friends In [0]: snek_with_friends.friends In [0]: with NamedTemporaryFile() as f: ...: save(snek_with_friends, f.name) ...: snek_with_friends_clone = load(f.name) In [0]: snek_with_friends_clone In [0]: snek_with_friends_clone.friends