def _read_file(fname, **kwargs):
"""
Reading a file with `sunpy.io` for automatic source detection.
Parameters
----------
fname : `str`
The file path to parse.
Returns
-------
parsed : `bool`
`True` if file has been read.
pairs : `list` or `str`
List of ``(data, header)`` pairs if ``parsed`` is `True`, ``fname`` if ``parsed`` is `False`.
`False` if the file is not supported or incorrect.
"""
if 'source' not in kwargs.keys() or not kwargs['source']:
try:
pairs = read_file(fname, **kwargs)
new_pairs = []
for pair in pairs:
filedata, filemeta = pair
if isinstance(filemeta, FileHeader):
data = filedata
meta = MetaDict(filemeta)
new_pairs.append(HDPair(data, meta))
return True, new_pairs
except UnrecognizedFileTypeError:
return False, fname
else:
return False, fname
def _read_file(fname, **kwargs):
"""
Reading a file with `sunpy.io` for automatic source detection.
Parameters
----------
fname : `str`
The file path to parse.
Returns
-------
pairs : `list` or `str`
List of ``(data, header)`` pairs or ``fname`` if the file is not supported or incorrect.
"""
if 'source' not in kwargs.keys() or not kwargs['source']:
try:
if detect_filetype(fname) == 'cdf':
# Put import here to ensure there is no import dependency
# on cdflib for TimeSeries
from sunpy.io.cdf import read_cdf
return read_cdf(os.fspath(fname), **kwargs)
except UnrecognizedFileTypeError:
pass
try:
pairs = read_file(os.fspath(fname), **kwargs)
new_pairs = []
for pair in pairs:
filedata, filemeta = pair
if isinstance(filemeta, FileHeader):
data = filedata
meta = MetaDict(filemeta)
new_pairs.append(HDPair(data, meta))
return [new_pairs]
except UnrecognizedFileTypeError:
return [fname]
else:
return [fname]
def _read_file(self, fname, **kwargs):
"""
Test reading a file with sunpy.io for automatic source detection.
Parameters
----------
fname : filename
kwargs
Returns
-------
parsed : bool
True if file has been reading
pairs : list or string
List of (data, header) pairs if ``parsed`` is ``True`` or ``fname``
if ``False``
"""
if 'source' not in kwargs.keys() or not kwargs['source']:
try:
pairs = read_file(fname, **kwargs)
new_pairs = []
for pair in pairs:
filedata, filemeta = pair
if isinstance(filemeta, FileHeader):
data = filedata
meta = MetaDict(filemeta)
new_pairs.append(HDPair(data, meta))
return True, new_pairs
except UnrecognizedFileTypeError:
return False, fname
else:
return False, fname