# Unique code of this Data Store Server. Not more than 40 characters. data-store-server-code = dss-screening # host name of the machine on which the datastore server is running host-address = https://localhost # parent directory of the store directory and all the dropboxes root-dir = data # The root directory of the data store storeroot-dir = ${root-dir}/store # The directory where the command queue file is located; defaults to storeroot-dir commandqueue-dir = # Port port = 8444 use-ssl = true # Session timeout in minutes session-timeout = 720 # Path to the keystore keystore.path = etc/openBIS.keystore # Password of the keystore keystore.password = changeit # Key password of the keystore keystore.key-password = changeit # The check interval (in seconds) check-interval = 60 # The time-out for clean up work in the shutdown sequence (in seconds). # Note that that the maximal time for the shutdown sequence to complete can be as large # as twice this time. # Remark: On a network file system, it is not recommended to turn this value to something # lower than 180. shutdown-timeout = 180 # If free disk space goes below value defined here, a notification email will be sent. # Value must be specified in kilobytes (1048576 = 1024 * 1024 = 1GB). If no high water mark is # specified or if value is negative, the system will not be watching. highwater-mark = -1 # If a data set is successfully registered it sends out an email to the registrator. # If this property is not specified, no email is sent to the registrator. This property # does not affect the mails which are sent, when the data set could not be registered. notify-successful-registration = false # The URL of the openBIS server server-url = ${host-address}:8443 # The username to use when contacting the openBIS server username = etlserver # The password for the etlserver user who contacts the openBIS server password = etlserver_password # The base URL for Web client access to the data store server. download-url = ${host-address}:${port} # SMTP properties (must start with 'mail' to be considered). # The current configuration saves the emails in the file system in the root directory mail.smtp.host = file://${root-dir} # mail.smtp.host = localhost # mail.from = openbis-dss@localhost # mail.smtp.user = # mail.smtp.password = # --------------------------------------------------------------------------- # (optional) archiver configuration # --------------------------------------------------------------------------- # Configuration of an archiver task. All properties are prefixed with 'archiver.'. # Archiver class specification (together with the list of packages this class belongs to). #archiver.class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.demo.DemoArchiver # --------------------------------------------------------------------------- # INTERNAL CONFIGURATION, # Do not change this part unless you are developing openBIS extensions. # --------------------------------------------------------------------------- # --------------------------------------------------------------------------- # screening database specification # --------------------------------------------------------------------------- data-sources = imaging-db imaging-db.version-holder-class = ch.systemsx.cisd.openbis.dss.etl.ImagingDatabaseVersionHolder imaging-db.databaseEngineCode = postgresql imaging-db.basicDatabaseName = imaging imaging-db.databaseKind = productive imaging-db.scriptFolder = sql/imaging imaging-db.owner = imaging-db.password = # Credentials of a database user which is able to create a new database or roles in it. # Leave empty to use the db engines defaults. # Used only during the first start of the server or when server is upgraded to a new version. imaging-db.adminUser = imaging-db.adminPassword = # --------------------------------------------------------------------------- # reporting and processing plugins configuration # --------------------------------------------------------------------------- # Comma separated names of reporting plugins. Each plugin should have configuration properties prefixed with its name. reporting-plugins = default-plate-image-analysis, plate-image-analysis-graph default-plate-image-analysis.label = Image Analysis Results default-plate-image-analysis.dataset-types = HCS_ANALYSIS_WELL_FEATURES default-plate-image-analysis.class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.ImageAnalysisMergedRowsReportingPlugin default-plate-image-analysis.properties-file = plate-image-analysis-graph.label = Image Analysis Graphs plate-image-analysis-graph.dataset-types = HCS_ANALYSIS_WELL_FEATURES plate-image-analysis-graph.class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.ImageAnalysisGraphReportingPlugin plate-image-analysis-graph.servlet-path = datastore_server_graph/ plate-image-analysis-graph.properties-file = etc/tabular-data-graph.properties # --------------------------------------------------------------------------- # screening specific extension servlets # --------------------------------------------------------------------------- # list of additional web servlets which will be exposed plugin-services = screening-image-download-servlet, tabular-data-graph-servlet, screening-dss-api-exporter-servlet # class of the web servlet screening-image-download-servlet.class = ch.systemsx.cisd.openbis.dss.generic.server.MergingImagesDownloadServlet # URL which will be mapped to this servlet screening-image-download-servlet.path = /datastore_server_screening/* tabular-data-graph-servlet.class = ch.systemsx.cisd.openbis.dss.generic.server.TabularDataGraphServlet tabular-data-graph-servlet.path = /datastore_server_graph/* tabular-data-graph-servlet.properties-file = etc/tabular-data-graph.properties # expose an DSS API interface with RPC screening-dss-api-exporter-servlet.class = ch.systemsx.cisd.openbis.dss.generic.server.DssScreeningApiServlet screening-dss-api-exporter-servlet.path = /rmi-datastore-server-screening-api-v1/* # --------------------------------------------------------------------------- # image overview plugins configuration # --------------------------------------------------------------------------- # Comma separated names of image overview plugins. # Each plugin should have configuration properties prefixed with its name. # Generic properties for each include: # .class - Fully qualified plugin class name (mandatory). # .default - If true all data set types not handled by other plugins should be handled # by the plugin (default = false). # .dataset-types - Comma separated list of data set types handled by the plugin # (optional and ignored if default is true, otherwise mandatory). overview-plugins = microscopy-image-overview microscopy-image-overview.class = ch.systemsx.cisd.openbis.dss.generic.server.MergingImagesDownloadServlet microscopy-image-overview.dataset-types = MICROSCOPY_IMAGE # --------------------------------------------------------------------------- maintenance-plugins=data-set-clean-up # hierarchical-storage-updater # the plugin which is run periodically to create a mirror structure of the store with the same files # but with user-readable structure of directories hierarchical-storage-updater.class = ch.systemsx.cisd.etlserver.plugins.HierarchicalStorageUpdater # specified in seconds. Here : every day hierarchical-storage-updater.interval = 86400 hierarchical-storage-updater.hierarchy-root-dir = ${root-dir}/hierarchical-store # Removes data sets deleted from openBIS also from imaging database data-set-clean-up.class = ch.systemsx.cisd.openbis.dss.etl.DeleteFromImagingDBMaintenanceTask # specified in seconds. Here : every day data-set-clean-up.interval = 86400 data-set-clean-up.data-source = imaging-db # --------------------------------------------------------------------------- # DROPBOXES CONFIGURATION # --------------------------------------------------------------------------- incoming-root-dir = ${root-dir} # Globally used separator character which separates entities in a data set file name data-set-file-name-entity-separator = _ # The period of no write access that needs to pass before an incoming data item is considered # complete and ready to be processed (in seconds) [default: 300]. # Valid only when auto-detection method is used to determine if an incoming data are ready to be processed. quiet-period = 300 # code of the default space in openBIS to which the data will be imported import-space-code = DEMO # Comma separated names of processing threads. Each thread should have configuration properties prefixed with its name. # E.g. 'code-extractor' property for the thread 'my-etl' should be specified as 'my-etl.code-extractor' inputs=merged-channels-images, split-channels-images, image-analysis-results # --------------------------------------------------------------------------- # The directory to watch for incoming data. merged-channels-images.incoming-dir = ${incoming-root-dir}/incoming-images-merged-channels merged-channels-images.incoming-data-completeness-condition = auto-detection # The extractor class to use for code extraction merged-channels-images.data-set-info-extractor = ch.systemsx.cisd.etlserver.DefaultDataSetInfoExtractor merged-channels-images.data-set-info-extractor.entity-separator = . merged-channels-images.data-set-info-extractor.index-of-sample-code = 0 merged-channels-images.data-set-info-extractor.index-of-data-producer-code = merged-channels-images.data-set-info-extractor.space-code = ${import-space-code} # The extractor class to use for type extraction merged-channels-images.type-extractor = ch.systemsx.cisd.etlserver.SimpleTypeExtractor merged-channels-images.type-extractor.file-format-type = JPG merged-channels-images.type-extractor.locator-type = RELATIVE_LOCATION merged-channels-images.type-extractor.data-set-type = HCS_IMAGE_OVERVIEW merged-channels-images.type-extractor.is-measured = true # Note: this storage processor is able to process folders compressed with zip as well merged-channels-images.storage-processor = ch.systemsx.cisd.openbis.dss.etl.PlateStorageProcessor # How should the original data be stored? Possible values: # unchanged - nothing is changed, the default # hdf5 - all the data will be packaged into one hdf5 file # hdf5_compressed - like hdf5, but each file is stored in a compressed form merged-channels-images.storage-processor.original-data-storage-format = unchanged # Should the thumbnails be generated? # It slows down the dataset registration, but increases the performance when the user wants to see the image. # Can be 'true' or 'false', 'false' is the default value merged-channels-images.storage-processor.generate-thumbnails = false # Thumbnails size in pixels # merged-channels-images.storage-processor.thumbnail-max-width = 300 # merged-channels-images.storage-processor.thumbnail-max-height = 200 # Codes of the channels in which images have been acquired. Allowed characters: [A-Z0-9_-]. # Number and order of entries must be consistent with 'channel-labels'. merged-channels-images.storage-processor.channel-codes = GFP, DAPI # Labels of the channels in which images have been acquired. # Number and order of entries must be consistent with 'channel-codes'. merged-channels-images.storage-processor.channel-labels = Gfp, Dapi # Optional boolean property, true by default. # Set to false to allow datasets in one experiment to use different channels. # In this case 'channel-codes' and 'channel-labels' become optional and are used only to determine the label for each channel code. # It should be set to 'false' for overlay image datasets. #merged-channels-images.storage-processor.define-channels-per-experiment = false # Optional boolean property, true by default. # If true an email is sent if some images for the uploaded plate are missing. #merged-channels-images.storage-processor.notify-if-incomplete = false # Optional boolean property, true by default. # If set to false then the dataset whcih cannot be registered will be left in the incoming folder # and will be mentioned in the .faulty_paths file #merged-channels-images.storage-processor.move-unregistered-datasets-to-error-dir = false # This is an optional boolean property which defines if all image datasets in one experiment have the same # channels or if each imported dataset can have different channels. By default true if not specified. #merged-channels-images.storage-processor.define-channels-per-experiment = false # Format: [width]>x[height], e.g. 3x4. Specifies the grid into which a microscope divided the well to acquire images. merged-channels-images.storage-processor.well_geometry = 3x3 # implementation of the IHCSImageFileExtractor interface which maps images to the location on the plate and particular channel # Here: the extractor requireds that each image name should adhere to the schema: # ____. merged-channels-images.storage-processor.file-extractor = ch.systemsx.cisd.openbis.dss.etl.HCSImageFileExtractor # specification of the imaging db merged-channels-images.storage-processor.data-source = imaging-db # Optional comma separated list of color components. # Available values: RED, GREEN or BLUE. # If specified then the channels are extracted from the color components and override 'file-extractor' results. merged-channels-images.storage-processor.extract-single-image-channels = GREEN, BLUE # --------------------------------------------------------------------------- # The directory to watch for incoming data. split-channels-images.incoming-dir = ${incoming-root-dir}/incoming-images-split-channels split-channels-images.incoming-data-completeness-condition = auto-detection # The extractor class to use for code extraction split-channels-images.data-set-info-extractor = ch.systemsx.cisd.etlserver.DefaultDataSetInfoExtractor split-channels-images.data-set-info-extractor.entity-separator = ${data-set-file-name-entity-separator} split-channels-images.data-set-info-extractor.index-of-sample-code = -1 split-channels-images.data-set-info-extractor.index-of-data-producer-code = 1 split-channels-images.data-set-info-extractor.index-of-data-production-date = 0 split-channels-images.data-set-info-extractor.space-code = ${import-space-code} # The extractor class to use for type extraction split-channels-images.type-extractor = ch.systemsx.cisd.etlserver.SimpleTypeExtractor split-channels-images.type-extractor.file-format-type = JPG split-channels-images.type-extractor.locator-type = RELATIVE_LOCATION split-channels-images.type-extractor.data-set-type = HCS_IMAGE_OVERVIEW split-channels-images.type-extractor.is-measured = true split-channels-images.storage-processor = ch.systemsx.cisd.openbis.dss.etl.PlateStorageProcessor split-channels-images.storage-processor.generate-thumbnails = false # The first specified channel will be blue, the second will be green and the third will be red. # If there are more channels, combinations of colors will be used. split-channels-images.storage-processor.channel-codes = GFP, DAPI split-channels-images.storage-processor.channel-labels = Gfp, Dapi split-channels-images.storage-processor.well_geometry = 3x3 split-channels-images.storage-processor.file-extractor = ch.systemsx.cisd.openbis.dss.etl.HCSImageFileExtractor split-channels-images.storage-processor.data-source = imaging-db # --------------------------------------------------------------------------- # The directory to watch for incoming data. image-analysis-results.incoming-dir = ${incoming-root-dir}/incoming-analysis image-analysis-results.incoming-data-completeness-condition = auto-detection # The extractor class to use for code extraction image-analysis-results.data-set-info-extractor = ch.systemsx.cisd.etlserver.DefaultDataSetInfoExtractor # Separator used to extract the barcode in the data set file name image-analysis-results.data-set-info-extractor.entity-separator = . image-analysis-results.data-set-info-extractor.index-of-sample-code = 0 image-analysis-results.data-set-info-extractor.space-code = ${import-space-code} # The extractor class to use for type extraction image-analysis-results.type-extractor = ch.systemsx.cisd.etlserver.SimpleTypeExtractor image-analysis-results.type-extractor.file-format-type = CSV image-analysis-results.type-extractor.locator-type = RELATIVE_LOCATION image-analysis-results.type-extractor.data-set-type = HCS_ANALYSIS_WELL_FEATURES image-analysis-results.type-extractor.is-measured = false # The storage processor (IStorageProcessor implementation) image-analysis-results.storage-processor = ch.systemsx.cisd.openbis.dss.etl.featurevector.FeatureVectorStorageProcessor image-analysis-results.storage-processor.processor = ch.systemsx.cisd.etlserver.DefaultStorageProcessor image-analysis-results.storage-processor.data-source = imaging-db # semi-colon (;) by default image-analysis-results.storage-processor.separator = , image-analysis-results.storage-processor.ignore-comments = true image-analysis-results.storage-processor.well-name-row = row image-analysis-results.storage-processor.well-name-col = col image-analysis-results.storage-processor.well-name-col-is-alphanum = true # --- Example configuration of a dropbox for images which are not connected to wells on the plate # The directory to watch for incoming data. #microscopy-dropbox.incoming-dir = ${incoming-root-dir}/incoming-microscopy #microscopy-dropbox.incoming-data-completeness-condition = auto-detection # The extractor class to use for code extraction #microscopy-dropbox.data-set-info-extractor = ch.systemsx.cisd.etlserver.DefaultDataSetInfoExtractor #microscopy-dropbox.data-set-info-extractor.entity-separator = . #microscopy-dropbox.data-set-info-extractor.index-of-sample-code = 0 #microscopy-dropbox.data-set-info-extractor.space-code = ${import-space-code} # The extractor class to use for type extraction #microscopy-dropbox.type-extractor = ch.systemsx.cisd.etlserver.SimpleTypeExtractor #microscopy-dropbox.type-extractor.file-format-type = TIFF #microscopy-dropbox.type-extractor.locator-type = RELATIVE_LOCATION #microscopy-dropbox.type-extractor.data-set-type = MICROSCOPY_IMAGE #microscopy-dropbox.type-extractor.is-measured = true #microscopy-dropbox.storage-processor = ch.systemsx.cisd.openbis.dss.etl.MicroscopyStorageProcessor #microscopy-dropbox.storage-processor.file-extractor = ch.systemsx.cisd.openbis.dss.etl.MicroscopyImageFileExtractor #microscopy-dropbox.storage-processor.data-source = imaging-db #microscopy-dropbox.storage-processor.channel-names = BLUE, GREEN, RED #microscopy-dropbox.storage-processor.well_geometry = 2x3 #microscopy-dropbox.storage-processor.tile_mapping = 1,2,3;4,5,6 # --- Microscopy dropbox with a series of images with any names --------------------------- # The directory to watch for incoming data. #microscopy-series-dropbox.incoming-dir = ${incoming-root-dir}/incoming-microscopy-series #microscopy-series-dropbox.incoming-data-completeness-condition = auto-detection # The extractor class to use for code extraction #microscopy-series-dropbox.data-set-info-extractor = ch.systemsx.cisd.etlserver.DefaultDataSetInfoExtractor #microscopy-series-dropbox.data-set-info-extractor.entity-separator = . #microscopy-series-dropbox.data-set-info-extractor.index-of-sample-code = 0 #microscopy-series-dropbox.data-set-info-extractor.space-code = ${import-space-code} # The extractor class to use for type extraction #microscopy-series-dropbox.type-extractor = ch.systemsx.cisd.etlserver.SimpleTypeExtractor #microscopy-series-dropbox.type-extractor.file-format-type = TIFF #microscopy-series-dropbox.type-extractor.locator-type = RELATIVE_LOCATION #microscopy-series-dropbox.type-extractor.data-set-type = MICROSCOPY_IMAGE #microscopy-series-dropbox.type-extractor.is-measured = true #microscopy-series-dropbox.storage-processor = ch.systemsx.cisd.openbis.dss.etl.MicroscopyBlackboxSeriesStorageProcessor #microscopy-series-dropbox.storage-processor.data-source = imaging-db