From e2d1e233e5b74d5e8e15d77a0a6accbb1c7ef92d Mon Sep 17 00:00:00 2001 From: tpylak <tpylak> Date: Wed, 2 Feb 2011 12:37:48 +0000 Subject: [PATCH] LMS-1998 jython dropbox: example resources SVN: 19705 --- .../all-in-one-incell2000/data-set-handler.py | 474 ++++++++++++++++++ .../all-in-one-incell2000/dropbox.txt | 24 + .../all-in-one-incell2000/example-dataset.zip | Bin 0 -> 1747649 bytes 3 files changed, 498 insertions(+) create mode 100755 screening/etc/example-dropbox-configuration/all-in-one-incell2000/data-set-handler.py create mode 100644 screening/etc/example-dropbox-configuration/all-in-one-incell2000/dropbox.txt create mode 100644 screening/etc/example-dropbox-configuration/all-in-one-incell2000/example-dataset.zip diff --git a/screening/etc/example-dropbox-configuration/all-in-one-incell2000/data-set-handler.py b/screening/etc/example-dropbox-configuration/all-in-one-incell2000/data-set-handler.py new file mode 100755 index 00000000000..711aa02e3f0 --- /dev/null +++ b/screening/etc/example-dropbox-configuration/all-in-one-incell2000/data-set-handler.py @@ -0,0 +1,474 @@ +#! /usr/bin/env python +# This is an example Jython dropbox for importing HCS image datasets + +import os +import shutil +import random + +import ch.systemsx.cisd.openbis.generic.shared.basic.dto as dto +from ch.systemsx.cisd.openbis.generic.shared.basic.dto import SampleType, NewSample +from ch.systemsx.cisd.openbis.generic.shared.dto.identifier import SampleIdentifier +from ch.systemsx.cisd.openbis.dss.etl.dto.api.v1 import * +from ch.systemsx.cisd.openbis.dss.etl.custom.geexplorer import GEExplorerImageAnalysisResultParser +from java.io import File + +# ------------ +# Dropbox specific image dataset registration. You may want to modify this part. +# ------------ + +""" type of the new image dataset """ +IMAGE_DATASET_TYPE = "HCS_IMAGE" +""" file format code of files in a new image dataset """ +IMAGE_FILE_FORMAT = "TIFF" + +""" type of the new analysis dataset """ +ANALYSIS_DATASET_TYPE = "HCS_IMAGE_ANALYSIS_DATA" +""" file format of the analysis dataset """ +ANALYSIS_FILE_FORMAT = "CSV" + +""" type of the new image overlay dataset """ +OVERLAY_IMAGE_DATASET_TYPE = "HCS_IMAGE_SEGMENTATION_OVERLAY" +""" file format of the image overlay dataset """ +OVERLAY_IMAGE_FILE_FORMAT = "PNG" + +""" space where the plate for which the dataset has been acquired exist """ +PLATE_SPACE = "DEMO" + +""" only files with these extensions will be recognized as images """ +RECOGNIZED_IMAGES_EXTENSIONS = ["tiff", "tif", "png", "gif", "jpg", "jpeg"] + +# --------- + +""" sample type code of the plate, needed if a new sample is registered automatically """ +PLATE_TYPE_CODE = "PLATE" +""" project and experiment where new plates will be registered """ +DEFAULT_PROJECT_CODE = "TEST" +DEFAULT_EXPERIMENT_CODE = "SANOFI" +PLATE_GEOMETRY_PROPERTY_CODE = "$PLATE_GEOMETRY" +PLATE_GEOMETRY = "384_WELLS_16X24" + +# --------- + +""" extracts code of the sample from the directory name """ +def extract_sample_code(incoming_name): + file_basename = extract_file_basename(incoming_name) + #return file_basename.split(".")[0] + code = file_basename[file_basename.find("plates_") + 7 : file_basename.rfind("_") ] + if code == "": + code = file_basename + return code + +""" +For a given tile number and tiles geometry returns a (x,y) tuple which describes where the tile +is located on the well. +""" +def get_tile_coords(tile_num, tile_geometry): + columns = tile_geometry[1] + row = ((tile_num - 1) / columns) + 1 + col = ((tile_num - 1) % columns) + 1 + return (row, col) + +""" +Parameters: + image_tokens_list - list of ImageTokens +Returns: (rows, columns) tuple describing the matrix of tiles (aka fields or sides) in the well +""" +def get_tile_geometry(image_tokens_list): + max_tile = get_max_tile_number(image_tokens_list) + if max_tile % 4 == 0 and max_tile != 4: + return (max_tile / 4, 4) + elif max_tile % 3 == 0: + return (max_tile / 3, 3) + elif max_tile % 2 == 0: + return (max_tile / 2, 2) + else: + return (max_tile, 1) + +""" +Creates ImageFileInfo for a given ImageTokens. +Converts tile number to coordinates on the 'well matrix'. +Example file name: A - 1(fld 1 wv Cy5 - Cy5).tif +Returns: + ImageTokens +""" +def create_image_tokens(path): + image_tokens = ImageTokens() + image_tokens.path = path + + basename = os.path.splitext(path)[0] + + wellText = basename[0:find(basename, "(")] # A - 1 + image_tokens.well = wellText.replace(" - ", "") + + fieldText = basename[find(basename, "fld ") + 4 : find(basename, " wv")] + try: + image_tokens.tile = int(fieldText) + #print "image_tokens.tile", image_tokens.tile + except ValueError: + raise Exception("Cannot parse field number from '" + fieldText + "' in '" + basename + "' file name.") + + image_tokens.channel = basename[rfind(basename, " - ") + 3 :-1] + return image_tokens + +# ------------ +# END of the part which you will probably need to modify +# ------------ + +# ------------ +# Generic utility +# ------------ + +""" +Finds first occurence of the patter from the right. +Throws exception if the pattern cannot be found. +""" +def rfind(text, pattern): + ix = text.rfind(pattern) + ensurePatternFound(ix, text, pattern) + return ix + +""" +Finds first occurence of the patter from the left. +Throws exception if the pattern cannot be found. +""" +def find(text, pattern): + ix = text.find(pattern) + ensurePatternFound(ix, text, pattern) + return ix + +def ensurePatternFound(ix, file, pattern): + if ix == -1: + raise Exception("Cannot find '" + pattern + "' pattern in file name '" + file + "'") + +""" Returns: name of the file without the extension """ +def extract_file_basename(filename): + lastDot = filename.rfind(".") + if lastDot != -1: + return filename[0:lastDot] + else: + return filename + +""" Returns: extension of the file """ +def get_file_ext(file): + return os.path.splitext(file)[1][1:].lower() + +""" Returns: java.io.File - first file with the specified extension or None if no file matches """ +def find_file_by_ext(incoming_file, expected_ext): + if not incoming_file.isDirectory(): + return None + incoming_path = incoming_file.getPath() + for file in os.listdir(incoming_path): + ext = get_file_ext(file) + if ext.upper() == expected_ext.upper(): + return File(incoming_path, file) + return None + +""" Returns: java.io.File - subdirectory which contains the specified marker in the name """ +def find_dir(incoming_file, dir_name_marker): + if not incoming_file.isDirectory(): + return None + incoming_path = incoming_file.getPath() + for file in os.listdir(incoming_path): + if dir_name_marker.upper() in file.upper(): + return File(incoming_path, file) + return None + +def get_random_string(): + return str(int(random.random()*1000000000)) + +""" +Creates a temporary directory two levels above the specified incoming file. +The name of the directory will contain the specified label and a random text. +Returns: + java.io.File - path to the temporary directory +""" +def get_tmp_dir(incoming, label): + dropbox_parent_dir = incoming.getParentFile().getParent() + tmp_dir = File(dropbox_parent_dir, "tmp") + if not os.path.exists(tmp_dir.getPath()): + os.mkdir(tmp_dir.getPath()) + tmp_labeled_dir = File(tmp_dir, label + ".tmp." + get_random_string()) + os.mkdir(tmp_labeled_dir.getPath()) + return tmp_labeled_dir + +# ------------ +# Image dataset registration +# ------------ + +""" +Auxiliary function to extract all channel codes used by specified images. +The channel label will be equal to channel code. +Parameters: + images - list of ImageFileInfo +Returns: + list of Channel +""" +def get_available_channels(images): + channel_codes = {} + for image in images: + channel_codes[image.getChannelCode()] = 1 + channels = [] + for channelCode in channel_codes.keys(): + channels.append(Channel(channelCode, channelCode)) + return channels + +""" +Parameters: + dataset - BasicDataSetInformation + registration_details - DataSetRegistrationDetails +""" +def set_dataset_details(dataset, registration_details): + registration_details.setDataSetInformation(dataset) + registration_details.setFileFormatType(dataset.getFileFormatTypeCode()) + registration_details.setDataSetType(dataset.getDataSetType()) + registration_details.setMeasuredData(dataset.isMeasured()) + +""" +Parameters: + dataset - BasicDataSetInformation +Returns: + DataSetRegistrationDetails +""" +def create_image_dataset_details(incoming): + registration_details = factory.createImageRegistrationDetails() + image_dataset = registration_details.getDataSetInformation() + set_image_dataset(incoming, image_dataset) + + set_dataset_details(image_dataset, registration_details) + return registration_details + + +""" Returns: integer - maximal tile number """ +def get_max_tile_number(image_tokens_list): + max_tile = 0 + for image_tokens in image_tokens_list: + max_tile = max(max_tile, image_tokens.tile) + return max_tile + +""" Auxiliary structure to store tokens of the image file name. """ +class ImageTokens: + # channel code + channel = None + # tile number + tile = -1 + # path to the image + path = "" + # well code, e.g. A1 + well = "" + +""" +Creates ImageFileInfo for a given path to an image +Example of the accepted file name: A - 1(fld 1 wv Cy5 - Cy5).tif +Returns: + ImageFileInfo +""" +def create_image_info(image_tokens, tile_geometry): + tileCoords = get_tile_coords(image_tokens.tile, tile_geometry) + img = ImageFileInfo(image_tokens.channel, tileCoords[0], tileCoords[1], image_tokens.path) + img.setWell(image_tokens.well) + return img + +""" +Tokenizes file names of all images in the directory. +Returns: + list of ImageTokens +""" +def parse_image_tokens(dir): + image_tokens_list = [] + dir_path = dir.getPath() + for file in os.listdir(dir_path): + ext = get_file_ext(file) + try: + extIx = RECOGNIZED_IMAGES_EXTENSIONS.index(ext) + # not reached if extension not found + image_tokens = create_image_tokens(file) + #print "tile", image_tokens.tile, "path", image_tokens.path, "well", image_tokens.well + image_tokens_list.append(image_tokens) + except ValueError: + pass # extension not recognized + return image_tokens_list + +""" +Parameters: +- image_tokens_list - list of ImageTokens for each image +- tile_geometry - (rows, columns) tuple describing the matrix of tiles (aka fields or sides) in the well +Returns: + list of ImageFileInfo +""" +def create_image_infos(image_tokens_list, tile_geometry): + images = [] + for image_tokens in image_tokens_list: + image = create_image_info(image_tokens, tile_geometry) + images.append(image) + return images + +# --------------------- + +""" +Extracts all images from the incoming directory. +Parameters: + incoming - java.io.File, folder with images + dataset - ImageDataSetInformation where the result will be stored +""" +def set_image_dataset(incoming, dataset): + dataset.setDatasetTypeCode(IMAGE_DATASET_TYPE) + dataset.setFileFormatCode(IMAGE_FILE_FORMAT) + + sample_code = extract_sample_code(incoming.getName()) + dataset.setSample(PLATE_SPACE, sample_code) + dataset.setMeasured(True) + + image_tokens_list = parse_image_tokens(incoming) + tile_geometry = get_tile_geometry(image_tokens_list) + images = create_image_infos(image_tokens_list, tile_geometry) + channels = get_available_channels(images) + + dataset.setImages(images) + dataset.setChannels(channels) + dataset.setTileGeometry(tile_geometry[0], tile_geometry[1]) + + return dataset + +""" +Extracts all overlay images from the overlays_dir directory. +Parameters: + overlays_dir - java.io.File, folder with + image_dataset - ImageDataSetInformation, image dataset to which the overlay dataset belongs + img_dataset_code - string, code of the image dataset to which the overlay dataset belongs + overlay_dataset - ImageDataSetInformation where the result will be stored +""" +def set_overlay_dataset(overlays_dir, image_dataset, img_dataset_code, overlay_dataset): + overlay_dataset.setDatasetTypeCode(OVERLAY_IMAGE_DATASET_TYPE) + overlay_dataset.setFileFormatCode(OVERLAY_IMAGE_FILE_FORMAT) + + overlay_dataset.setSample(image_dataset.getSpaceCode(), image_dataset.getSampleCode()) + overlay_dataset.setMeasured(False) + overlay_dataset.setParentDatasetCode(img_dataset_code) + + image_tokens_list = parse_image_tokens(overlays_dir) + tile_geometry = (image_dataset.getTileRowsNumber(), image_dataset.getTileColumnsNumber()) + images = create_image_infos(image_tokens_list, tile_geometry) + channels = get_available_channels(images) + + overlay_dataset.setImages(images) + overlay_dataset.setChannels(channels) + overlay_dataset.setTileGeometry(tile_geometry[0], tile_geometry[1]) + +""" +Creates registration details of the image overlays dataset. +Parameters: + overlays_dir - java.io.File, folder with + image_dataset - ImageDataset, image dataset to which the overlay dataset belongs + img_dataset_code - string, code of the image dataset to which the overlay dataset belongs +Returns: + DataSetRegistrationDetails +""" +def create_overlay_dataset_details(overlays_dir, image_dataset, img_dataset_code): + overlay_dataset_details = factory.createImageRegistrationDetails() + overlay_dataset = overlay_dataset_details.getDataSetInformation() + set_overlay_dataset(overlays_dir, image_dataset, img_dataset_code, overlay_dataset) + set_dataset_details(overlay_dataset, overlay_dataset_details) + + config = ImageStorageConfiguraton.createDefault() + # channels will be connected to the dataset + config.setStoreChannelsOnExperimentLevel(False) + overlay_dataset.setImageStorageConfiguraton(config) + return overlay_dataset_details + +# --------------------- + +""" +Creates the analysis dataset description. +The dataset will be connected to the specified sample and parent dataset. +Parameters: + dataset - BasicDataSetInformation where the result will be stored +""" +def set_analysis_dataset(sample_space, sample_code, parent_dataset_code, dataset): + dataset.setDatasetTypeCode(ANALYSIS_DATASET_TYPE) + dataset.setFileFormatCode(ANALYSIS_FILE_FORMAT) + dataset.setSample(sample_space, sample_code) + dataset.setMeasured(False) + dataset.setParentDatasetCode(parent_dataset_code) + +""" +Creates registration details of the analysis dataset. +Returns: + DataSetRegistrationDetails +""" +def create_analysis_dataset_details(sample_space, sample_code, parent_dataset_code): + registration_details = factory.createBasicRegistrationDetails() + dataset = registration_details.getDataSetInformation() + set_analysis_dataset(sample_space, sample_code, parent_dataset_code, dataset) + set_dataset_details(dataset, registration_details) + return registration_details + +""" registers sample if it does not exist already """ +def register_sample_if_necessary(space_code, project_code, experiment_code, sample_code): + openbis = state.getOpenBisService() + sampleIdentifier = SampleIdentifier.create(space_code, sample_code) + if (openbis.tryGetSampleWithExperiment(sampleIdentifier) == None): + sample = NewSample() + sampleType = SampleType() + sampleType.setCode(PLATE_TYPE_CODE) + sample.setSampleType(sampleType) + sample.setIdentifier(sampleIdentifier.toString()) + + property = dto.VocabularyTermEntityProperty(); + vocabularyTerm = dto.VocabularyTerm(); + vocabularyTerm.setCode(PLATE_GEOMETRY); + property.setVocabularyTerm(vocabularyTerm); + propertyType = dto.PropertyType(); + dataType = dto.DataType(); + dataType.setCode(dto.DataTypeCode.CONTROLLEDVOCABULARY); + propertyType.setDataType(dataType); + propertyType.setCode(PLATE_GEOMETRY_PROPERTY_CODE); + property.setPropertyType(propertyType); + sample.setProperties([ property ]) + + sample.setExperimentIdentifier("/" + space_code + "/" + project_code + "/" + experiment_code) + openbis.registerSample(sample, None) + +# --------------------- + +""" +Allows to recognize that the subdirectory of the incoming dataset directory contains overlay images. +This text has to appear in the subdirectory name. +""" +OVERLAYS_DIR_PATTERN = "overlays" + +def register_images_with_overlays_and_analysis(incoming): + if not incoming.isDirectory(): + return + + tr = service.transaction(incoming, factory) + + image_dataset_details = create_image_dataset_details(incoming) + plate_code = image_dataset_details.getDataSetInformation().getSampleCode() + space_code = image_dataset_details.getDataSetInformation().getSpaceCode() + register_sample_if_necessary(space_code, DEFAULT_PROJECT_CODE, DEFAULT_EXPERIMENT_CODE, plate_code) + + # create the image data set and put everything in it initially + image_data_set = tr.createNewDataSet(image_dataset_details) + image_data_set_folder = tr.moveFile(incoming.getPath(), image_data_set) + img_dataset_code = image_data_set.getDataSetCode() + + + # move overlays folder + overlays_dir = find_dir(File(image_data_set_folder), OVERLAYS_DIR_PATTERN) + if overlays_dir != None: + overlay_dataset_details = create_overlay_dataset_details(overlays_dir, + image_dataset_details.getDataSetInformation(), img_dataset_code) + overlays_data_set = tr.createNewDataSet(overlay_dataset_details) + tr.moveFile(overlays_dir.getPath(), overlays_data_set, "overlays") + + # transform and move analysis file + analysis_file = find_file_by_ext(File(image_data_set_folder), "xml") + if analysis_file != None: + analysis_registration_details = create_analysis_dataset_details(space_code, plate_code, img_dataset_code) + analysis_data_set = tr.createNewDataSet(analysis_registration_details) + analysis_data_set_file = tr.createNewFile(analysis_data_set, analysis_file.getName()) + GEExplorerImageAnalysisResultParser(analysis_file.getPath()).writeCSV(File(analysis_data_set_file)) + + service.commit() + +register_images_with_overlays_and_analysis(incoming) diff --git a/screening/etc/example-dropbox-configuration/all-in-one-incell2000/dropbox.txt b/screening/etc/example-dropbox-configuration/all-in-one-incell2000/dropbox.txt new file mode 100644 index 00000000000..b7903284991 --- /dev/null +++ b/screening/etc/example-dropbox-configuration/all-in-one-incell2000/dropbox.txt @@ -0,0 +1,24 @@ +# --- Dispatcher jython dropbox: HCS images from Incell 2000 + GE Explorer image analysis --------- + +# The directory to watch for incoming data. +hcs-all-in-one-dropbox.incoming-dir = ${incoming-root-dir}/incoming-all-in-one +hcs-all-in-one-dropbox.incoming-data-completeness-condition = auto-detection + +# The extractor class to use for code extraction +hcs-all-in-one-dropbox.top-level-data-set-handler = ch.systemsx.cisd.openbis.dss.etl.jython.JythonPlateDataSetHandler +hcs-all-in-one-dropbox.script-path = etc/data-set-handler.py +hcs-all-in-one-dropbox.staging-dir = ${incoming-root-dir} + +hcs-all-in-one-dropbox.storage-processor = ch.systemsx.cisd.etlserver.DispatcherStorageProcessor +hcs-all-in-one-dropbox.storage-processor.processors = images, analysis +# --- images - accepts all image datasets registrations +hcs-all-in-one-dropbox.storage-processor.images = ch.systemsx.cisd.openbis.dss.etl.PlateStorageProcessor +hcs-all-in-one-dropbox.storage-processor.images.data-source = imaging-db +# --- analysis - accepts all other datasets (and assumes they are single CSV files) +hcs-all-in-one-dropbox.storage-processor.analysis = ch.systemsx.cisd.openbis.dss.etl.featurevector.FeatureVectorStorageProcessor +hcs-all-in-one-dropbox.storage-processor.analysis.processor = ch.systemsx.cisd.etlserver.DefaultStorageProcessor +hcs-all-in-one-dropbox.storage-processor.analysis.data-source = imaging-db +hcs-all-in-one-dropbox.storage-processor.analysis.separator = , +hcs-all-in-one-dropbox.storage-processor.analysis.well-name-row = Well +hcs-all-in-one-dropbox.storage-processor.analysis.well-name-col = Well +hcs-all-in-one-dropbox.storage-processor.analysis.well-name-col-is-alphanum = true \ No newline at end of file diff --git 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