def get_bpm(image, pipeline_context):
bpm_filename = dbs.get_bpm(image.telescope_id, image.ccdsum,
db_address=pipeline_context.db_address)
if bpm_filename is None:
bpm = None
image.header['L1IDMASK'] = ('', 'Id. of mask file used')
else:
bpm_hdu = fits_utils.open_fits_file(bpm_filename)
bpm_extensions = fits_utils.get_extensions_by_name(bpm_hdu, 'BPM')
if len(bpm_extensions) > 1:
extension_shape = bpm_extensions[0].data.shape
bpm_shape = (len(bpm_extensions), extension_shape[0], extension_shape[1])
bpm = np.zeros(bpm_shape, dtype=np.uint8)
for i, extension in enumerate(bpm_extensions):
bpm[i, :, :] = extension.data[:, :]
elif len(bpm_extensions) == 1:
bpm = np.array(bpm_extensions[0].data, dtype=np.uint8)
else:
bpm = np.array(bpm_hdu[0].data, dtype=np.uint8)
if not bpm_has_valid_size(bpm, image):
tags = logs.image_config_to_tags(image, None)
logs.add_tag(tags, 'filename', image.filename)
logger.error('BPM shape mismatch', extra=tags)
err_msg = 'BPM shape mismatch for {filename} ' \
'{site}/{instrument}'.format(filename=image.filename, site=image.site,
instrument=image.instrument)
raise ValueError(err_msg)
image.header['L1IDMASK'] = (os.path.basename(bpm_filename), 'Id. of mask file used')
return bpm
def get_bpm(image, pipeline_context):
bpm_filename = dbs.get_bpm(image.telescope_id,
image.ccdsum,
db_address=pipeline_context.db_address)
if bpm_filename is None:
bpm = None
image.header['L1IDMASK'] = ('', 'Id. of mask file used')
else:
bpm_hdu = fits_utils.open_fits_file(bpm_filename)
bpm_extensions = fits_utils.get_extensions_by_name(bpm_hdu, 'BPM')
if len(bpm_extensions) > 1:
extension_shape = bpm_extensions[0].data.shape
bpm_shape = (len(bpm_extensions), extension_shape[0],
extension_shape[1])
bpm = np.zeros(bpm_shape, dtype=np.uint8)
for i, extension in enumerate(bpm_extensions):
bpm[i, :, :] = extension.data[:, :]
elif len(bpm_extensions) == 1:
bpm = np.array(bpm_extensions[0].data, dtype=np.uint8)
else:
bpm = np.array(bpm_hdu[0].data, dtype=np.uint8)
if not bpm_has_valid_size(bpm, image):
tags = logs.image_config_to_tags(image, None)
logs.add_tag(tags, 'filename', image.filename)
logger.error('BPM shape mismatch', extra=tags)
err_msg = 'BPM shape mismatch for {filename} ' \
'{site}/{instrument}'.format(filename=image.filename, site=image.site,
instrument=image.instrument)
raise ValueError(err_msg)
image.header['L1IDMASK'] = (os.path.basename(bpm_filename),
'Id. of mask file used')
return bpm
def get_bpm(image, pipeline_context):
bpm_filename = dbs.get_bpm(image.telescope_id, image.ccdsum,
db_address=pipeline_context.db_address)
if bpm_filename is None:
bpm = None
image.header['L1IDMASK'] = ('', 'Id. of mask file used')
else:
bpm = np.array(fits.getdata(bpm_filename), dtype=np.uint8)
image.header['L1IDMASK'] = (os.path.basename(bpm_filename), 'Id. of mask file used')
return bpm
def get_bpm(image, pipeline_context):
bpm_filename = dbs.get_bpm(image.telescope_id, image.ccdsum,
db_address=pipeline_context.db_address)
if bpm_filename is None:
bpm_data = np.zeros((image.ny, image.nx), dtype=np.uint8)
image.header['L1IDMASK'] = ('', 'Id. of mask file used')
else:
bpm_data = fits.getdata(bpm_filename)
image.header['L1IDMASK'] = (os.path.basename(bpm_filename), 'Id. of mask file used')
return np.array(bpm_data, dtype=np.uint8)