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Marco Del Tufo authoredMarco Del Tufo authored
Jython-based Reporting and Processing Plugins
Overview
It is possible to implement logic of reporting and processing plugins as
Jython scripts instead of providing new classes implementing
IReportingPluginTask
and IProcessingPluginTask
Java interfaces.
The scripts require only a single method to be implemented and have access to a few services that simplify tasks such as data retrieval, creation of tables or sending emails:
-
access to files of a data set is done via IHierarchicalContent interface (through IDataSet.getContent())
-
access to openBIS AS via ISearchService (through
searchService
andsearchServiceUnfiltered
variables), -
access to data sources specified in DSS via IDataSourceQueryService (through
queryService
variable), -
creation of tables in reporting script via ISimpleTableModelBuilderAdaptor (provided as a function argument),
-
sending emails via IMailService (through
mailService
variable)- it is easy to send a file or a text as an attachment to the user (subject and text body can be provided optionally)
- it is also possible to use a reporting script as a processing plugin sending the report as an attachment to the user
-
checking user access privileges via the IAuthorizationService
(available from the
authorizationService
variable).
All jython plugins use Jython version configured by the
service.properties property jython-version
which can be either 2.5 or
2.7.
Configuration
Jython-based plugins are configured in exactly the same way as other
reporting and processing plugins. Apart from standard mandatory plugin
properties one needs to specify a path to the script - script-path
.
Additional third-party JAR files have to be added to the core plugin in
a sub-folder lib/
.
Here are some configuration examples for core plugins of the type reporting-plugins and processing-plugins, respectively:
Jython-based Reporting Plugin
plugin.properties
label = Jython Reporting
dataset-types = HCS_IMAGE
class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.jython.JythonBasedReportingPlugin
script-path = data-set-reporting.py
Jython Aggregation Service
plugin.properties
label = Jython Aggregation Reporting
class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.jython.JythonAggregationService
script-path = aggregating.py
Jython Ingestion Service
plugin.properties
label = Jython Aggregation Reporting
class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.jython.JythonIngestionService
script-path = processing.py
Note, that property dataset-types is not needed and will be ignored.
Jython-based Processing Plugin
plugin.properties
label = Jython Processisng
dataset-types = HCS_IMAGE
class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.jython.JythonBasedProcessingPlugin
script-path = data-set-processing.py
Processing Plugin based on Reporting Script
One can also configure a special processing plugin
(ch.systemsx.cisd.openbis.dss.generic.server.plugins.jython.ReportingBasedProcessingPlugin
)
which uses a reporting script instead of processing script. The
reporting script's task is as usual - to describe contents of a table.
The processing plugin will then convert the generated table to a text
form and send it in an email as an attachment. This feature facilitates
code reuse - one can write one script and use it for both reporting and
processing plugins.
Configuration of the plugin is as simple as the one for basic jython-based plugins with a few additional properties for specifying email content:
service.properties
...
# --------------------------------------------------------------------------------------------------
# Jython-based Processing Plugin based on Reporting Script
# --------------------------------------------------------------------------------------------------
jython-processing-with-report.label = Jython Processing based on Reporting Script
jython-processing-with-report.dataset-types = HCS_IMAGE
jython-processing-with-report.class = ch.systemsx.cisd.openbis.dss.generic.server.plugins.jython.ReportingBasedProcessingPlugin
jython-processing-with-report.script-path = /resource/examples/data-set-reporting.py
# Optional properties:
# - subject of the email with generated report;
# defaults to empty subject
#jython-processing-with-report.email-subject = Report
# - body of the email with generated report -
# defaults to empty subject
#jython-processing-with-report.email-body = The report was successfuly generated and is attached to this email.
# - name of the attachment with generated report;
# defaults to 'report.txt'
#jython-processing-with-report.attachment-name = report-attachment.txt
# - whether there should be a single report for all processed data sets generated and send in an email to the user,
# or rather should it be done for processed every data set separately (with one report & email per data set);
# defaults to false
#jython-processing-with-report.single-report = true
...
Sending an email directly in a processing script is more flexible in defining content of the email than what is described above. It might be preferable if one wants to decide on the email's subject, body or attachment name dynamically, based e.g. on metadata.
Script interfaces and environment
Reporting script
The script file (e.g. "data-set-reporting.py") needs to implement one method:
describe(dataSets, tableBuilder)
which takes a list of data sets (implementing IDataSet interface) and a table builder (ISimpleTableModelBuilderAdaptor) that will be used to generate the table shown in openBIS AS or sent in an email. The method shouldn't return anything. Instead one should call methods of the table builder and a the table model will be created outside of the script using the builder.
Aggregation Service script
The script file (e.g. "aggregating.py") needs to implement one method:
aggregate(parameters, tableBuilder)
which takes some parameters (a java.util.Map with String keys and generic Object values) and a table builder (ISimpleTableModelBuilderAdaptor) that will be used to generate the table shown in openBIS AS or sent in an email. The method shouldn't return anything. Instead one should call methods of the table builder and a the table model will be created outside of the script using the builder.
Ingestion Service script
The script file (e.g. "processing.py") needs to implement one method:
process(transaction, parameters, tableBuilder)
which takes a transaction, some parameters (a java.util.Map with String keys and generic Object values) and a table builder (ISimpleTableModelBuilderAdaptor) that will be used to generate the table shown in openBIS AS or sent in an email. The method shouldn't return anything. Instead one should call methods of the table builder and a the table model will be created outside of the script using the builder. The transaction interface is the same as what is provided to a dropbox. See Dropboxes for a description of what can be done with a transaction.
Processing script
The script file (e.g. "data-set-processing.py") needs to implement one method:
process(dataSet)
which takes a single data set (implementing IDataSet interface). The method shouldn't return anything.
Environment
Both Processing and Reporting script functions are invoked in an environment with following services available as global variables:
From method arguments one can:
- retrieve basic metadata information about data set and access its files through object implementing IHierarchicalContent (received by calling IDataSet.getContent()),
- (reporting script) build contents of a table using
ISimpleTableModelBuilderAdaptor
,
Example scripts
Simple reporting plugin
CODE = "Code"
TYPE = "Type"
SIZE = "Size"
LOCATION = "Location"
SPEED_HINT = "Speed Hint"
MAIN_PATTERN = "Main Data Set Pattern"
MAIN_PATH = "Main Data Set Path"
INSTANCE = "Instance"
SPACE = "Space"
PROJECT = "Project"
EXPERIMENT_CODE = "Experiment Code"
EXPERIMENT_IDENTIFIER = "Experiment Identifier"
EXPERIMENT_TYPE = "Experiment Type"
SAMPLE_CODE = "Sample Code"
SAMPLE_IDENTIFIER = "Sample Identifier"
SAMPLE_TYPE = "Sample Type"
def describe(dataSets, tableBuilder):
tableBuilder.addHeader(CODE)
tableBuilder.addHeader(TYPE)
tableBuilder.addHeader(SIZE)
tableBuilder.addHeader(LOCATION)
tableBuilder.addHeader(SPEED_HINT)
tableBuilder.addHeader(MAIN_PATTERN)
tableBuilder.addHeader(MAIN_PATH)
tableBuilder.addHeader(INSTANCE)
tableBuilder.addHeader(SPACE)
tableBuilder.addHeader(PROJECT)
tableBuilder.addHeader(EXPERIMENT_CODE)
tableBuilder.addHeader(EXPERIMENT_IDENTIFIER)
tableBuilder.addHeader(EXPERIMENT_TYPE)
tableBuilder.addHeader(SAMPLE_CODE)
tableBuilder.addHeader(SAMPLE_IDENTIFIER)
tableBuilder.addHeader(SAMPLE_TYPE)
for dataSet in dataSets:
print "script reporting " + dataSet.getDataSetCode()
row = tableBuilder.addRow()
row.setCell(CODE, dataSet.getDataSetCode())
row.setCell(TYPE, dataSet.getDataSetTypeCode())
row.setCell(SIZE, dataSet.getDataSetSize())
row.setCell(LOCATION, dataSet.getDataSetLocation())
row.setCell(SPEED_HINT, dataSet.getSpeedHint())
row.setCell(MAIN_PATTERN, dataSet.getMainDataSetPattern())
row.setCell(MAIN_PATH, dataSet.getMainDataSetPath())
row.setCell(INSTANCE, dataSet.getInstanceCode())
row.setCell(SPACE, dataSet.getSpaceCode())
row.setCell(PROJECT, dataSet.getProjectCode())
row.setCell(EXPERIMENT_CODE, dataSet.getExperimentCode())
row.setCell(EXPERIMENT_IDENTIFIER, dataSet.getExperimentIdentifier())
row.setCell(EXPERIMENT_TYPE, dataSet.getExperimentTypeCode())
row.setCell(SAMPLE_CODE, dataSet.getSampleCode())
row.setCell(SAMPLE_IDENTIFIER, dataSet.getSampleIdentifier())
row.setCell(SAMPLE_TYPE, dataSet.getSampleTypeCode())
Reporting plugin accessing openBIS AS
CODE = "Data Set Code"
EXPERIMENT_IDENTIFIER = "Experiment Identifier"
EXPERIMENT_TYPE = "Experiment Type"
EXPERIMENT_DESCRIPTION = "Description"
def describe(dataSets, tableBuilder):
tableBuilder.addHeader(CODE)
tableBuilder.addHeader(EXPERIMENT_IDENTIFIER)
tableBuilder.addHeader(EXPERIMENT_TYPE)
tableBuilder.addHeader(EXPERIMENT_DESCRIPTION)
for dataSet in dataSets:
projectIdentifier = "/" + dataSet.getSpaceCode() + "/" + dataSet.getProjectCode()
print "script reporting " + dataSet.getDataSetCode() + " from " + projectIdentifier
experiments = searchService.listExperiments(projectIdentifier)
for experiment in experiments:
row = tableBuilder.addRow()
row.setCell(CODE, dataSet.getDataSetCode())
row.setCell(EXPERIMENT_IDENTIFIER, experiment.getExperimentIdentifier())
row.setCell(EXPERIMENT_TYPE, experiment.getExperimentType())
row.setCell(EXPERIMENT_DESCRIPTION, experiment.getPropertyValue("DESCRIPTION"))
Reporting plugin accessing external DB
Lets assume that a Path Info
Database
was configured as a data source named "path-info-db"
.
One shouldn't assume anything about Path Info DB schema. Code below should serve just as an example of accessing an external DB in a jython reporting/processing script.
DATA_SOURCE = "path-info-db"
QUERY = """
SELECT ds.code as "data_set_code", dsf.*
FROM data_sets ds, data_set_files dsf
WHERE ds.code = ?{1} AND dsf.dase_id = ds.id
"""
"""reporting table column names"""
DATA_SET_CODE = "Data Set"
RELATIVE_PATH = "Relative Path"
FILE_NAME = "File Name"
SIZE_IN_BYTES = "Size"
IS_DIRECTORY = "Is Directory?"
LAST_MODIFIED = "Last Modified"
def describe(dataSets, tableBuilder):
tableBuilder.addHeader(DATA_SET_CODE)
tableBuilder.addHeader(RELATIVE_PATH)
tableBuilder.addHeader(FILE_NAME)
tableBuilder.addHeader(SIZE_IN_BYTES)
tableBuilder.addHeader(IS_DIRECTORY)
tableBuilder.addHeader(LAST_MODIFIED)
for dataSet in dataSets:
results = queryService.select(DATA_SOURCE, QUERY, [dataSet.getDataSetCode()])
print "Found " + str(len(results)) + " results for data set '" + dataSet.getDataSetCode() + "':"
for r in results:
print r # debugging
row = tableBuilder.addRow()
row.setCell(DATA_SET_CODE, r.get("DATA_SET_CODE".lower()))
row.setCell(RELATIVE_PATH, r.get("RELATIVE_PATH".lower()))
row.setCell(FILE_NAME, r.get("FILE_NAME".lower()))
row.setCell(SIZE_IN_BYTES, r.get("SIZE_IN_BYTES".lower()))
row.setCell(IS_DIRECTORY, r.get("IS_DIRECTORY".lower()))
row.setCell(LAST_MODIFIED, r.get("LAST_MODIFIED".lower()))
results.close()