Source code for

import os
import pathlib
from collections import OrderedDict
from urllib.request import Request

import numpy as np

from astropy.wcs import WCS

from sunpy import log
from import cache
from import read_file
from import FileHeader
from import CompositeMap
from import GenericMap, MapMetaValidationError
from import MapSequence
from sunpy.util import expand_list
from sunpy.util.datatype_factory_base import (
from sunpy.util.exceptions import NoMapsInFileError, warn_user
from sunpy.util.functools import seconddispatch
from import is_url, parse_path, possibly_a_path
from sunpy.util.metadata import MetaDict
from sunpy.util.types import DatabaseEntryType

    import dask.array
    SUPPORTED_ARRAY_TYPES += (dask.array.Array,)
except ImportError:

__all__ = ['Map', 'MapFactory']

[docs] class MapFactory(BasicRegistrationFactory): """ A factory for generating coordinate aware 2D images. This factory takes a variety of inputs, such as file paths, wildcard patterns or (data, header) pairs. Depending on the input different return types are possible. Parameters ---------- \\*inputs Inputs to parse for map objects. See the examples section for a detailed list of accepted inputs. sequence : `bool`, optional Return a `` object comprised of all the parsed maps. composite : `bool`, optional Return a `` object comprised of all the parsed maps. Returns ------- `` If the input results in a singular map object, then that is returned. `list` of `` If multiple inputs are given and ``sequence=False`` and ``composite=False`` (the default) then a list of `` objects will be returned. `` If the input corresponds to multiple maps and ``sequence=True`` is set, then a `` object is returned. `` If the input corresponds to multiple maps and ``composite=True`` is set, then a `` object is returned. Examples -------- >>> import >>> from import fits >>> import # doctest: +REMOTE_DATA >>> mymap = # doctest: +REMOTE_DATA """ def _read_file(self, fname, **kwargs): """ Read in a file name and return the list of (data, meta) pairs in that file. """ # File gets read here. This needs to be generic enough to seamlessly # call a fits file or a jpeg2k file, etc # NOTE: use os.fspath so that fname can be either a str or pathlib.Path # This can be removed once read_file supports pathlib.Path log.debug(f'Reading {fname}') try: pairs = read_file(os.fspath(fname), **kwargs) except Exception as e: raise OSError(f"Failed to read {fname}\n{e}") from e new_pairs = [] for pair in pairs: filedata, filemeta = pair assert isinstance(filemeta, FileHeader) # This tests that the data is more than 1D if len(np.shape(filedata)) > 1: data = filedata meta = MetaDict(filemeta) new_pairs.append((data, meta)) if not new_pairs: raise NoMapsInFileError(f"Found no HDUs with >= 2D data in '{fname}'.") return new_pairs def _validate_meta(self, meta): """ Validate a meta argument. """ if isinstance(meta, return True elif isinstance(meta, dict): return True else: return False def _parse_args(self, *args, silence_errors=False, **kwargs): """ Parses an args list into data-header pairs. args can contain any mixture of the following entries: * tuples of data,header * data, header not in a tuple * data, wcs object in a tuple * data, wcs object not in a tuple * filename, as a str or pathlib.Path, which will be read * directory, as a str or pathlib.Path, from which all files will be read * glob, from which all files will be read * url, which will be downloaded and read * lists containing any of the above. Examples -------- self._parse_args(data, header, (data, header), ['file1', 'file2', 'file3'], 'file4', 'directory1', '*.fits') """ # Account for nested lists of items args = expand_list(args) # Sanitise the input so that each 'type' of input corresponds to a different # class, so single dispatch can be used later nargs = len(args) i = 0 while i < nargs: arg = args[i] if isinstance(arg, SUPPORTED_ARRAY_TYPES): # The next two items are data and a header data = args.pop(i) header = args.pop(i) args.insert(i, (data, header)) nargs -= 1 elif isinstance(arg, str) and is_url(arg): # Repalce URL string with a Request object to dispatch on later args[i] = Request(arg) elif possibly_a_path(arg): # Repalce path strings with Path objects args[i] = pathlib.Path(arg) i += 1 # Parse the arguments # Note that this list can also contain GenericMaps if they are directly given to the factory data_header_pairs = [] for arg in args: try: data_header_pairs += self._parse_arg(arg, **kwargs) except NoMapsInFileError as e: if not silence_errors: raise warn_user(f"One of the arguments failed to parse with error: {e}") return data_header_pairs # Note that post python 3.8 this can be @functools.singledispatchmethod @seconddispatch def _parse_arg(self, arg, **kwargs): """ Take a factory input and parse into (data, header) pairs. Must return a list, even if only one pair is returned. """ raise ValueError(f"Invalid input: {arg}") @_parse_arg.register(tuple) def _parse_tuple(self, arg, **kwargs): # Data-header or data-WCS pair data, header = arg if isinstance(header, WCS): header = header.to_header() pair = data, header if self._validate_meta(header): pair = (data, OrderedDict(header)) return [pair] @_parse_arg.register(DatabaseEntryType) def _parse_dbase(self, arg, **kwargs): return self._read_file(arg.path, **kwargs) @_parse_arg.register(GenericMap) def _parse_map(self, arg, **kwargs): return [arg] @_parse_arg.register(Request) def _parse_url(self, arg, **kwargs): url = arg.full_url path = str( pairs = self._read_file(path, **kwargs) return pairs @_parse_arg.register(pathlib.Path) def _parse_path(self, arg, **kwargs): return parse_path(arg, self._read_file, **kwargs) def __call__(self, *args, composite=False, sequence=False, silence_errors=False, **kwargs): """ Method for running the factory. Takes arbitrary arguments and keyword arguments and passes them to a sequence of pre-registered types to determine which is the correct Map-type to build. Arguments args and kwargs are passed through to the validation function and to the constructor for the final type. For Map types, validation function must take a data-header pair as an argument. Parameters ---------- composite : `bool`, optional Indicates if collection of maps should be returned as a ``. Default is `False`. sequence : `bool`, optional Indicates if collection of maps should be returned as a ``. Default is `False`. silence_errors : `bool`, optional If set, ignore data-header pairs which cause an exception. Default is ``False``. Notes ----- Extra keyword arguments are passed through to `` such as `memmap` for FITS files. """ data_header_pairs = self._parse_args(*args, silence_errors=silence_errors, **kwargs) new_maps = list() # Loop over each registered type and check to see if WidgetType # matches the arguments. If it does, use that type. for pair in data_header_pairs: if isinstance(pair, GenericMap): new_maps.append(pair) continue data, header = pair meta = MetaDict(header) try: new_map = self._check_registered_widgets(data, meta, **kwargs) new_maps.append(new_map) except (NoMatchError, MultipleMatchError, ValidationFunctionError, MapMetaValidationError) as e: if not silence_errors: raise warn_user(f"One of the data, header pairs failed to validate with: {e}") if not len(new_maps): raise RuntimeError('No maps loaded') # If the list is meant to be a sequence, instantiate a map sequence if sequence: return MapSequence(new_maps, **kwargs) # If the list is meant to be a composite map, instantiate one if composite: return CompositeMap(new_maps, **kwargs) if len(new_maps) == 1: return new_maps[0] return new_maps def _check_registered_widgets(self, data, meta, **kwargs): candidate_widget_types = list() for key in self.registry: # Call the registered validation function for each registered class if self.registry[key](data, meta, **kwargs): candidate_widget_types.append(key) n_matches = len(candidate_widget_types) if n_matches == 0: if self.default_widget_type is None: raise NoMatchError("No types match specified arguments and no default is set.") else: candidate_widget_types = [self.default_widget_type] elif n_matches > 1: raise MultipleMatchError("Too many candidate types identified " f"({candidate_widget_types}). " "Specify enough keywords to guarantee unique type " "identification.") # Only one is found WidgetType = candidate_widget_types[0] return WidgetType(data, meta, **kwargs)
class InvalidMapInput(ValueError): """Exception to raise when input variable is not a Map instance and does not point to a valid Map input file.""" class InvalidMapType(ValueError): """Exception to raise when an invalid type of map is requested with Map """ class NoMapsFound(ValueError): """Exception to raise when input does not point to any valid maps or files """ Map = MapFactory(registry=GenericMap._registry, default_widget_type=GenericMap, additional_validation_functions=['is_datasource_for'])