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.. _cosmology_io_custom:
****************************
Custom Cosmology I/O formats
****************************
.. _custom_cosmology_converters:
Custom Cosmology To/From Formats
================================
Custom representation formats may also be registered into the Astropy Cosmology
I/O framework for use by these methods. For details of the framework see
:ref:`io_registry`. Note |Cosmology| ``to/from_format`` uses a custom registry,
available at ``Cosmology.<to/from>_format.registry``.
.. EXAMPLE START : custom to/from format
As an example, the following is an implementation of an |Row| converter. We can
and should use inbuilt parsers, like |QTable|, but to show a more complete
example we limit ourselves to only the "mapping" parser.
We start by defining the function to parse a |Row| into a |Cosmology|. This
function should take 1 positional argument, the row object, and 2 keyword
arguments, for how to handle extra metadata and which Cosmology class to use.
Details about metadata treatment are in
``Cosmology.from_format.help("mapping")``.
.. code-block:: python
>>> import copy
>>> from astropy.cosmology import Cosmology
>>> def from_table_row(row, *, move_to_meta=False, cosmology=None):
... # get name from column
... name = row['name'] if 'name' in row.columns else None
... meta = copy.deepcopy(row.meta)
... # turn row into mapping (dict of the arguments)
... mapping = dict(row)
... mapping['name'] = name
... mapping.setdefault("cosmology", meta.pop("cosmology", None))
... mapping["meta"] = meta
... # build cosmology from map
... return Cosmology.from_format(mapping, move_to_meta=move_to_meta,
... cosmology=cosmology)
.. code-block:: python
convert_registry.register_reader("astropy.row", Cosmology, from_table_row)
The next step is a function to perform the reverse operation: parse a
|Cosmology| into a |Row|. This function requires only the cosmology object and
a ``*args`` to absorb unneeded information passed by
:class:`astropy.io.registry.UnifiedReadWrite` (which implements
|Cosmology.to_format|).
.. code-block:: python
>>> from astropy.table import QTable
>>> def to_table_row(cosmology, *args):
... p = cosmology.to_format("mapping", cosmology_as_str=True)
... meta = p.pop("meta")
... # package parameters into lists for Table parsing
... params = {k: [v] for k, v in p.items()}
... return QTable(params, meta=meta)[0] # return row
.. code-block:: python
convert_registry.register_writer("astropy.row", Cosmology, to_table_row)
Last we write a function to help with format auto-identification and then
register everything into `astropy.io.registry`.
.. code-block:: python
>>> from astropy.cosmology import Cosmology
>>> from astropy.table import Row
>>> def row_identify(origin, format, *args, **kwargs):
... """Identify if object uses the Table format."""
... if origin == "read":
... return isinstance(args[1], Row) and (format in (None, "astropy.row"))
... return False
.. code-block:: python
convert_registry.register_identifier("astropy.row", Cosmology, row_identify)
Now the registered functions can be used in |Cosmology.from_format| and
|Cosmology.to_format|.
.. code-block:: python
>>> from astropy.cosmology import Planck18
>>> row = Planck18.to_format("astropy.row")
>>> row
<Row index=0>
cosmology name H0 Om0 Tcmb0 Neff m_nu Ob0
km / (Mpc s) K eV
str13 str8 float64 float64 float64 float64 float64[3] float64
------------- -------- ------------ ------- ------- ------- ----------- -------
FlatLambdaCDM Planck18 67.66 0.30966 2.7255 3.046 0.0 .. 0.06 0.04897
>>> cosmo = Cosmology.from_format(row)
>>> cosmo == Planck18 # test it round-trips
True
.. EXAMPLE END
.. _custom_cosmology_readers_writers:
Custom Cosmology Readers/Writers
================================
Custom ``read`` / ``write`` formats may be registered into the Astropy
Cosmology I/O framework. For details of the framework see :ref:`io_registry`.
Note |Cosmology| ``read/write`` uses a custom registry, available at
``Cosmology.<read/write>.registry``.
.. EXAMPLE START : custom read/write
As an example, in the following we will fully work out a |Cosmology| <-> JSON
(de)serializer. Note that we can use other registered parsers -- here "mapping"
-- to make the implementation much simpler.
We start by defining the function to parse JSON into a |Cosmology|. This
function should take 1 positional argument, the file object or file path. We
will also pass kwargs through to |Cosmology.from_format|, which handles
metadata and which Cosmology class to use. Details of which are in
``Cosmology.from_format.help("mapping")``.
.. code-block:: python
>>> import json, os
>>> import astropy.units as u
>>> from astropy.cosmology import Cosmology
>>> from astropy.cosmology.connect import readwrite_registry
>>> def read_json(filename, **kwargs):
... # read file, from path-like or file-like
... if isinstance(filename, (str, bytes, os.PathLike)):
... with open(filename, "r") as file:
... data = file.read()
... else: # file-like : this also handles errors in dumping
... data = filename.read()
... mapping = json.loads(data) # parse json mappable to dict
... # deserialize Quantity
... for k, v in mapping.items():
... if isinstance(v, dict) and "value" in v and "unit" in v:
... mapping[k] = u.Quantity(v["value"], v["unit"])
... for k, v in mapping.get("meta", {}).items(): # also the metadata
... if isinstance(v, dict) and "value" in v and "unit" in v:
... mapping["meta"][k] = u.Quantity(v["value"], v["unit"])
... return Cosmology.from_format(mapping, **kwargs)
>>> readwrite_registry.register_reader("json", Cosmology, read_json)
The next step is a function to write a |Cosmology| to JSON. This function
requires the cosmology object and a file object/path. We also require the
boolean flag "overwrite" to set behavior for existing files. Note that
|Quantity| is not natively compatible with JSON. In both the ``write`` and
``read`` methods we have to create custom parsers.
.. code-block:: python
>>> def write_json(cosmology, file, *, overwrite=False, **kwargs):
... data = cosmology.to_format("mapping", cosmology_as_str=True) # start by turning into dict
... # serialize Quantity
... for k, v in data.items():
... if isinstance(v, u.Quantity):
... data[k] = {"value": v.value.tolist(), "unit": str(v.unit)}
... for k, v in data.get("meta", {}).items(): # also serialize the metadata
... if isinstance(v, u.Quantity):
... data["meta"][k] = {"value": v.value.tolist(), "unit": str(v.unit)}
...
... if isinstance(file, (str, bytes, os.PathLike)):
... # check that file exists and whether to overwrite.
... if os.path.exists(file) and not overwrite:
... raise IOError(f"{file} exists. Set 'overwrite' to write over.")
... with open(file, "w") as write_file:
... json.dump(data, write_file)
... else:
... json.dump(data, file)
>>> readwrite_registry.register_writer("json", Cosmology, write_json)
Last we write a function to help with format auto-identification and then
register everything into :mod:`astropy.io.registry`.
.. code-block:: python
>>> def json_identify(origin, filepath, fileobj, *args, **kwargs):
... """Identify if object uses the JSON format."""
... return filepath is not None and filepath.endswith(".json")
>>> readwrite_registry.register_identifier("json", Cosmology, json_identify)
Now the registered functions can be used in |Cosmology.read| and
|Cosmology.write|.
.. doctest-skip:: win32
>>> import tempfile
>>> from astropy.cosmology import Planck18
>>>
>>> file = tempfile.NamedTemporaryFile()
>>> Planck18.write(file.name, format="json", overwrite=True)
>>> with open(file.name) as f: f.readlines()
['{"cosmology": "FlatLambdaCDM", "name": "Planck18",
"H0": {"value": 67.66, "unit": "km / (Mpc s)"}, "Om0": 0.30966,
...
>>>
>>> cosmo = Cosmology.read(file.name, format="json")
>>> file.close()
>>> cosmo == Planck18 # test it round-trips
True
.. doctest::
:hide:
>>> from astropy.io.registry import IORegistryError
>>> readwrite_registry.unregister_reader("json", Cosmology)
>>> readwrite_registry.unregister_writer("json", Cosmology)
>>> readwrite_registry.unregister_identifier("json", Cosmology)
>>> try:
... readwrite_registry.get_reader("json", Cosmology)
... except IORegistryError:
... pass
.. EXAMPLE END
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