xpdan.pipelines package

Submodules

xpdan.pipelines.main module

xpdan.pipelines.main.clear_comp(source, iq_comp, **kwargs)

xpdan.pipelines.main.clear_geo_gen(source, geometry_img_shape, **kwargs)

xpdan.pipelines.main.save_cal(start_timestamp, gen_geo_cal, **kwargs)

xpdan.pipelines.main.start_gen(raw_source, image_names=['pe1_image', 'pe2_image', 'pe3_image'], db=<databroker._core.Broker object>, calibration_md_folder=None, **kwargs)

Parameters

• raw_source

• image_name

• db (databroker.Broker) – The databroker to use

• calibration_md_folder

• kwargs

xpdan.pipelines.pipeline_utils module

class xpdan.pipelines.pipeline_utils.Filler(db)

Bases: bluesky.callbacks.core.CallbackBase

Fill events without provenence

descriptor(docs)

event(docs)

start(docs)

stop(docs)

xpdan.pipelines.pipeline_utils.clear_combine_latest(node, position=None)

xpdan.pipelines.pipeline_utils.dark_template_func(timestamp, template)

Format template for dark images

Parameters

• timestamp (float) – The time in unix epoch

• template (str) – The string to be formatted

Returns

Return type

str

xpdan.pipelines.pipeline_utils.if_calibration(start)

xpdan.pipelines.pipeline_utils.if_dark(doc)

xpdan.pipelines.pipeline_utils.if_not_calibration(doc)

xpdan.pipelines.pipeline_utils.if_query_results(n_hdrs)

xpdan.pipelines.pipeline_utils.templater1_func(doc, template)

format base string with data from experiment, sample_name, folder_tag

xpdan.pipelines.pipeline_utils.templater2_func(doc, template, aux=None, short_aux=None)

format with auxiliary and time

xpdan.pipelines.pipeline_utils.templater3_func(template, analysis_stage='raw', ext='.tiff')

xpdan.pipelines.save_tiff module