log_to_ispyb(self.integration_id_noanom,
'Scaling',
'Successful',
'noanom resolution cutoffs finished in {0}s'.format(self.stats['res_cutoff_anom'] + self.stats['res_cutoff_noanom']))
# now we just have to run XScale to generate w/ and w/out
# anom, merged and unmerged
# We use another control plugin for that to isolate the whole thing
xscale_generate_in = XSDataXscaleInput()
input_file = XSDataXscaleInputFile()
input_file.path_anom = self.generate.dataOutput.hkl_anom
input_file.path_noanom = self.generate.dataOutput.hkl_no_anom
input_file.res = self.res_cutoff_anom.dataOutput.res
xscale_generate_in.xds_files = [input_file]
xscale_generate_in.unit_cell_constants = self.parse_xds_anom.dataOutput.unit_cell_constants
xscale_generate_in.sg_number = self.parse_xds_anom.dataOutput.sg_number
xscale_generate_in.bins = self.res_cutoff_anom.dataOutput.bins
self.xscale_generate.dataInput = xscale_generate_in
self.DEBUG('STARTING xscale generation')
log_to_ispyb([self.integration_id_anom, self.integration_id_noanom],
'Scaling', 'Launched', 'start of xscale generation')
t0=time.time()
self.xscale_generate.executeSynchronous()
self.screen('FINISHED noanom res cutoff')
log_to_ispyb(
self.integration_id_noanom, 'Scaling', 'Successful',
'noanom resolution cutoffs finished in {0}s'.format(
self.stats['res_cutoff_anom'] +
self.stats['res_cutoff_noanom']))
# now we just have to run XScale to generate w/ and w/out
# anom, merged and unmerged
# We use another control plugin for that to isolate the whole thing
xscale_generate_in = XSDataXscaleInput()
input_file = XSDataXscaleInputFile()
input_file.path_anom = self.generate.dataOutput.hkl_anom
input_file.path_noanom = self.generate.dataOutput.hkl_no_anom
input_file.res = self.res_cutoff_anom.dataOutput.res
xscale_generate_in.xds_files = [input_file]
xscale_generate_in.unit_cell_constants = self.parse_xds_anom.dataOutput.unit_cell_constants
xscale_generate_in.sg_number = self.parse_xds_anom.dataOutput.sg_number
xscale_generate_in.bins = self.res_cutoff_anom.dataOutput.bins
self.xscale_generate.dataInput = xscale_generate_in
self.DEBUG('STARTING xscale generation')
log_to_ispyb([self.integration_id_anom, self.integration_id_noanom],
'Scaling', 'Launched', 'start of xscale generation')
t0 = time.time()
self.xscale_generate.executeSynchronous()
self.stats['xscale_generate'] = time.time() - t0
