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Commit 817413a3 authored by kaloyane's avatar kaloyane
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[LMS-2260] keep backwards compatible old-style installations working

SVN: 21417
parent 67f5c5dc
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BASE=`dirname "$0"`
if [ ${BASE#/} == ${BASE} ]; then
BASE="`pwd`/${BASE}"
fi
$BASE/post-install/1-create-initial-database.sh
......@@ -97,7 +97,7 @@ imaging-db.password =
# 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 =
imaging-db.adminPassword =
# ---------------------------------------------------------------------------
# reporting and processing plugins configuration
......@@ -191,27 +191,186 @@ 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=simple-dropbox
inputs=merged-channels-images, split-channels-images, image-analysis-results
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# --- Jython dropbox for HCS images -----------------------------------------------
# ---------------------------------------------------------------------------
# The directory to watch for incoming data.
simple-dropbox.incoming-dir = ${incoming-root-dir}/incoming-simple
simple-dropbox.incoming-data-completeness-condition = auto-detection
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
simple-dropbox.top-level-data-set-handler = ch.systemsx.cisd.openbis.dss.etl.jython.JythonPlateDataSetHandler
simple-dropbox.script-path = ${incoming-root-dir}/dropboxes/simple-dropbox.py
simple-dropbox.storage-processor = ch.systemsx.cisd.openbis.dss.etl.PlateStorageProcessor
simple-dropbox.storage-processor.data-source = imaging-db
#simple-dropbox.storage-processor.file-extractor = ch.systemsx.cisd.openbis.dss.etl.jython.JythonImageFileExtractor
simple-dropbox.storage-processor.define-channels-per-experiment = false
# -- Should the thumbnails be generated?
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
# simple-dropbox.storage-processor.generate-thumbnails = false
# simple-dropbox.storage-processor.compress-thumbnails = true
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:
# <any-text>_<plate-code>_<well-code>_<tile-code>_<channel-name>.<allowed-image-extension>
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
......@@ -22,3 +22,5 @@ simple-dropbox.top-level-data-set-handler = ch.systemsx.cisd.openbis.dss.etl.jyt
simple-dropbox.script-path = ${incoming-root-dir}/dropboxes/simple-dropbox.py
simple-dropbox.storage-processor = ch.systemsx.cisd.openbis.dss.etl.PlateStorageProcessor
simple-dropbox.storage-processor.data-source = imaging-db
simple-dropbox.storage-processor.define-channels-per-experiment = false
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