forked from ISTI-ansible-roles/ansible-roles
Merge branch 'master' of gitorious.research-infrastructures.eu:infrastructure-management/ansible-playbooks
This commit is contained in:
commit
36e95e334c
|
@ -7,7 +7,7 @@ dataminer_product: prod
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|||
dataminer_zip_url: 'http://svn.research-infrastructures.eu/public/d4science/gcube/trunk/data-analysis/DataMinerConfiguration/webapp/{{ dataminer_product }}/wps.zip'
|
||||
|
||||
# Install from WAR
|
||||
dataminer_war_install: False
|
||||
dataminer_war_install: True
|
||||
dataminer_wps_version: latest
|
||||
dataminer_wps_name: wps
|
||||
dataminer_wps_group_id: org.gcube.data-analysis
|
||||
|
@ -34,3 +34,15 @@ dataminer_data_file_from_thredds: 'http://thredds.d4science.org/thredds/fileServ
|
|||
|
||||
# dev, prod, preprod
|
||||
dataminer_infra_reference: dev
|
||||
|
||||
dataminer_properties_files:
|
||||
- algorithms.properties
|
||||
- clusterers.properties
|
||||
- dynamictransducerers.properties
|
||||
- evaluators.properties
|
||||
- generators.properties
|
||||
- modelers.properties
|
||||
- models.properties
|
||||
- nodealgorithms.properties
|
||||
- transducerers.properties
|
||||
- userperspective.properties
|
||||
|
|
|
@ -0,0 +1,17 @@
|
|||
AQUAMAPS_SUITABLE=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsSuitable
|
||||
AQUAMAPS_NATIVE=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsNative
|
||||
AQUAMAPS_NATIVE_2050=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsNative2050
|
||||
AQUAMAPS_SUITABLE_2050=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsSuitable2050
|
||||
AQUAMAPS_NATIVE_NEURALNETWORK=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsNN
|
||||
AQUAMAPS_SUITABLE_NEURALNETWORK=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsNNSuitable
|
||||
FEED_FORWARD_A_N_N_DISTRIBUTION=org.gcube.dataanalysis.ecoengine.spatialdistributions.FeedForwardNeuralNetworkDistribution
|
||||
LWR=org.gcube.dataanalysis.executor.nodes.algorithms.LWR
|
||||
BIONYM_BIODIV=org.gcube.dataanalysis.executor.nodes.transducers.bionym.BionymBiodiv
|
||||
BIONYM=org.gcube.dataanalysis.executor.nodes.transducers.bionym.BionymFlexibleWorkflowTransducer
|
||||
OCCURRENCES_MERGER=org.gcube.dataanalysis.executor.nodes.transducers.OccurrenceMergingNode
|
||||
OCCURRENCES_INTERSECTOR=org.gcube.dataanalysis.executor.nodes.transducers.OccurrenceIntersectionNode
|
||||
OCCURRENCES_SUBTRACTION=org.gcube.dataanalysis.executor.nodes.transducers.OccurrenceSubtractionNode
|
||||
CMSY=org.gcube.dataanalysis.executor.nodes.algorithms.CMSY
|
||||
FAOMSY=org.gcube.dataanalysis.executor.nodes.algorithms.FAOMSY
|
||||
ICCAT_VPA=org.gcube.dataanalysis.executor.nodes.algorithms.ICCATVPA
|
||||
FEED_FORWARD_NEURAL_NETWORK_CLOUD_REGRESSOR=org.gcube.data.analysis.algorithms.neuralnetworks.feedforward.FeedForwardNeuralNetworkCloudRegressor
|
|
@ -0,0 +1,4 @@
|
|||
DBSCAN=org.gcube.dataanalysis.ecoengine.clustering.DBScan
|
||||
LOF=org.gcube.dataanalysis.ecoengine.clustering.LOF
|
||||
KMEANS=org.gcube.dataanalysis.ecoengine.clustering.KMeans
|
||||
XMEANS=org.gcube.dataanalysis.ecoengine.clustering.XMeansWrapper
|
|
@ -0,0 +1 @@
|
|||
#org.gcube.dataanalysis.geo.wps.factory.DynamicWPSTransducerer
|
|
@ -0,0 +1,4 @@
|
|||
MAPS_COMPARISON=org.gcube.dataanalysis.geo.algorithms.MapsComparator
|
||||
DISCREPANCY_ANALYSIS=org.gcube.dataanalysis.ecoengine.evaluation.DiscrepancyAnalysis
|
||||
QUALITY_ANALYSIS=org.gcube.dataanalysis.ecoengine.evaluation.DistributionQualityAnalysis
|
||||
HRS=org.gcube.dataanalysis.ecoengine.evaluation.HabitatRepresentativeness
|
|
@ -0,0 +1,3 @@
|
|||
LOCAL_WITH_DATABASE=org.gcube.dataanalysis.ecoengine.processing.LocalSplitGenerator
|
||||
SIMPLE_LOCAL=org.gcube.dataanalysis.ecoengine.processing.LocalSimpleSplitGenerator
|
||||
D4SCIENCE=org.gcube.dataanalysis.executor.generators.D4ScienceDistributedProcessing
|
|
@ -0,0 +1 @@
|
|||
HSPEN_MODELER=org.gcube.dataanalysis.ecoengine.modeling.SimpleModeler
|
|
@ -0,0 +1,3 @@
|
|||
HSPEN=org.gcube.dataanalysis.ecoengine.models.ModelHSPEN
|
||||
AQUAMAPSNN=org.gcube.dataanalysis.ecoengine.models.ModelAquamapsNN
|
||||
FEED_FORWARD_ANN=org.gcube.dataanalysis.ecoengine.models.FeedForwardNN
|
|
@ -0,0 +1,16 @@
|
|||
AQUAMAPS_SUITABLE=org.gcube.dataanalysis.executor.nodes.algorithms.AquamapsSuitableNode
|
||||
AQUAMAPS_NATIVE=org.gcube.dataanalysis.executor.nodes.algorithms.AquamapsNativeNode
|
||||
AQUAMAPS_NATIVE_2050=org.gcube.dataanalysis.executor.nodes.algorithms.AquamapsNative2050Node
|
||||
AQUAMAPS_SUITABLE_2050=org.gcube.dataanalysis.executor.nodes.algorithms.AquamapsSuitable2050Node
|
||||
OCCURRENCES_MERGER=org.gcube.dataanalysis.executor.nodes.transducers.OccurrenceMergingNode
|
||||
OCCURRENCES_INTERSECTOR=org.gcube.dataanalysis.executor.nodes.transducers.OccurrenceIntersectionNode
|
||||
OCCURRENCES_SUBTRACTION=org.gcube.dataanalysis.executor.nodes.transducers.OccurrenceSubtractionNode
|
||||
LWR=org.gcube.dataanalysis.executor.nodes.algorithms.LWR
|
||||
BIONYM_BIODIV=org.gcube.dataanalysis.executor.nodes.transducers.bionym.BionymBiodiv
|
||||
BIONYM=org.gcube.dataanalysis.executor.nodes.transducers.bionym.BionymFlexibleWorkflowTransducer
|
||||
CMSY=org.gcube.dataanalysis.executor.nodes.algorithms.CMSY
|
||||
FAOMSY=org.gcube.dataanalysis.executor.nodes.algorithms.FAOMSY
|
||||
ICCAT_VPA=org.gcube.dataanalysis.executor.nodes.algorithms.ICCATVPA
|
||||
FEED_FORWARD_NEURAL_NETWORK_CLOUD_REGRESSOR=org.gcube.data.analysis.algorithms.neuralnetworks.feedforward.FeedForwardNeuralNetworkCloudRegressor
|
||||
AQUAMAPS_NATIVE_NEURALNETWORK=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsNN
|
||||
AQUAMAPS_SUITABLE_NEURALNETWORK=org.gcube.dataanalysis.ecoengine.spatialdistributions.AquamapsNNSuitable
|
|
@ -0,0 +1,185 @@
|
|||
HCAF_FILTER=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.HcafFilter
|
||||
ABSENCE_CELLS_FROM_AQUAMAPS=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.MarineAbsencePointsFromAquamapsDistribution
|
||||
BIOCLIMATE_HCAF=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHCAFTransducer
|
||||
BIOCLIMATE_HSPEC=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHSPECTransducer
|
||||
BIOCLIMATE_HSPEN=org.gcube.dataanalysis.ecoengine.transducers.BioClimateHSPENTransducer
|
||||
BIONYM_LOCAL=org.gcube.dataanalysis.executor.nodes.transducers.bionym.BionymLocalTransducer
|
||||
OCCURRENCES_DUPLICATES_DELETER=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsDuplicatesDeleter
|
||||
OCCURRENCES_MARINE_TERRESTRIAL=org.gcube.dataanalysis.ecoengine.transducers.OccurrencePointsInSeaOnEarth
|
||||
HCAF_INTERPOLATION=org.gcube.dataanalysis.ecoengine.transducers.InterpolationTransducer
|
||||
PRESENCE_CELLS_GENERATION=org.gcube.dataanalysis.ecoengine.transducers.simplequeryexecutors.MarinePresencePoints
|
||||
MOST_OBSERVED_SPECIES=org.gcube.dataanalysis.trendylyzeralgorithms.AbsoluteSpeciesBarChartsAlgorithm
|
||||
MOST_OBSERVED_TAXA=org.gcube.dataanalysis.trendylyzeralgorithms.TaxaObservationsBarChartAlgorithm
|
||||
SPECIES_OBSERVATIONS_PER_AREA=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsAreaBarChart
|
||||
SPECIES_OBSERVATIONS_TREND_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerYear
|
||||
SPECIES_OBSERVATION_LME_AREA_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerLMEAreaPerYearLineChart
|
||||
SPECIES_OBSERVATION_MEOW_AREA_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.SpeciesObservationsPerMEOWAreaPerYearLineChart
|
||||
TAXONOMY_OBSERVATIONS_TREND_PER_YEAR=org.gcube.dataanalysis.trendylyzeralgorithms.TaxaObservationsPerYearLineChart
|
||||
GETTABLEDETAILS=org.gcube.dataaccess.algorithms.drmalgorithms.GetTableDetails
|
||||
LISTDBINFO=org.gcube.dataaccess.algorithms.drmalgorithms.ListDBInfo
|
||||
LISTDBNAMES=org.gcube.dataaccess.algorithms.drmalgorithms.ListNames
|
||||
LISTDBSCHEMA=org.gcube.dataaccess.algorithms.drmalgorithms.ListSchemas
|
||||
LISTTABLES=org.gcube.dataaccess.algorithms.drmalgorithms.ListTables
|
||||
RANDOMSAMPLEONTABLE=org.gcube.dataaccess.algorithms.drmalgorithms.RandomSampleOnTable
|
||||
SAMPLEONTABLE=org.gcube.dataaccess.algorithms.drmalgorithms.SampleOnTable
|
||||
SMARTSAMPLEONTABLE=org.gcube.dataaccess.algorithms.drmalgorithms.SmartSampleOnTable
|
||||
SUBMITQUERY=org.gcube.dataaccess.algorithms.drmalgorithms.SubmitQuery
|
||||
XYEXTRACTOR=org.gcube.dataanalysis.geo.algorithms.XYExtraction
|
||||
XYEXTRACTOR_TABLE=org.gcube.dataanalysis.geo.algorithms.XYExtractionTable
|
||||
ZEXTRACTION=org.gcube.dataanalysis.geo.algorithms.ZExtraction
|
||||
ZEXTRACTION_TABLE=org.gcube.dataanalysis.geo.algorithms.ZExtractionTable
|
||||
TIMEEXTRACTION=org.gcube.dataanalysis.geo.algorithms.TimeExtraction
|
||||
TIMEEXTRACTION_TABLE=org.gcube.dataanalysis.geo.algorithms.TimeExtractionTable
|
||||
TIME_GEO_CHART=org.gcube.dataanalysis.geo.algorithms.TimeGeoChartProducer
|
||||
TIME_SERIES_ANALYSIS=org.gcube.dataanalysis.ecoengine.transducers.TimeSeriesAnalysis
|
||||
TIME_SERIES_CHARTS=org.gcube.dataanalysis.ecoengine.transducers.charts.TimeSeriesChartsTransducerer
|
||||
KNITR_COMPILER=org.gcube.dataanalysis.executor.rscripts.KnitrCompiler
|
||||
SGVM_INTERPOLATION=org.gcube.dataanalysis.executor.rscripts.SGVMS_Interpolation
|
||||
MAX_ENT_NICHE_MODELLING=org.gcube.dataanalysis.geo.algorithms.MaxEnt4NicheModellingTransducer
|
||||
SEADATANET_INTERPOLATOR=org.gcube.dataanalysis.seadatanet.SeaDataNetConnector
|
||||
RASTER_DATA_PUBLISHER=org.gcube.dataanalysis.geo.algorithms.RasterDataPublisher
|
||||
GEO_CHART=org.gcube.dataanalysis.geo.algorithms.StaticGeoChartProducer
|
||||
ESRI_GRID_EXTRACTION=org.gcube.dataanalysis.geo.algorithms.ESRIGRIDExtraction
|
||||
OCCURRENCE_ENRICHMENT=org.gcube.dataanalysis.geo.algorithms.OccurrenceEnrichment
|
||||
POLYGONS_TO_MAP=org.gcube.dataanalysis.geo.algorithms.PolygonMapsCreator
|
||||
SPECIES_MAP_FROM_CSQUARES=org.gcube.dataanalysis.geo.algorithms.SpeciesDistributionsMapsCreatorFromCsquares
|
||||
SPECIES_MAP_FROM_POINTS=org.gcube.dataanalysis.geo.algorithms.SpeciesDistributionsMapsCreatorFromPoints
|
||||
GENERIC_CHARTS=org.gcube.dataanalysis.ecoengine.transducers.charts.QuantitiesAttributesChartsTransducerer
|
||||
POINTS_TO_MAP=org.gcube.dataanalysis.geo.algorithms.PointsMapsCreator
|
||||
CSQUARES_TO_COORDINATES=org.gcube.dataanalysis.geo.vti.CSquare2Coordinates
|
||||
CSQUARE_COLUMN_CREATOR=org.gcube.dataanalysis.geo.algorithms.CSquaresCreator
|
||||
FAO_OCEAN_AREA_COLUMN_CREATOR=org.gcube.dataanalysis.geo.algorithms.FAOOceanAreaCreator
|
||||
FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT=org.gcube.dataanalysis.geo.algorithms.FAOOceanAreaCreatorQuadrant
|
||||
GRID_CWP_TO_COORDINATES=org.gcube.dataanalysis.geo.vti.GridCWP2Coordinates
|
||||
EGIP_ENERGY_AGGREGATED_DISTRIBUTION=org.gcube.dataanalysis.geothermal.EnergyHistogramAggregated
|
||||
EGIP_ENERGY_COUNTRY_DISTRIBUTION=org.gcube.dataanalysis.geothermal.EnergyHistogramPerCountry
|
||||
EGIP_ENERGY_TRENDS=org.gcube.dataanalysis.geothermal.EnergyTrends
|
||||
EGIP_ENERGY_YEAR_DISTRIBUTION=org.gcube.dataanalysis.geothermal.EnergyHistogramPerYear
|
||||
ESTIMATE_FISHING_ACTIVITY=org.gcube.dataanalysis.geo.vti.EstimateFishingActivity
|
||||
ESTIMATE_MONTHLY_FISHING_EFFORT=org.gcube.dataanalysis.geo.vti.EstimateMonthlyFishingEffort
|
||||
WEB_APP_PUBLISHER=org.gcube.dataanalysis.executor.nodes.transducers.WebApplicationPublisher
|
||||
SHAPEFILE_PUBLISHER=org.gcube.dataanalysis.geo.algorithms.ShapefilePublisher
|
||||
GENERIC_WORKER=org.gcube.dataanalysis.executor.job.management.GenericWorker
|
||||
ABSENCE_GENERATION_FROM_OBIS=org.gcube.dataanalysis.executor.rscripts.AbsencegenerationfromOBIS
|
||||
ECOPATH_WITH_ECOSIM=org.gcube.dataanalysis.ewe.SimpleEwE
|
||||
ENSEMBLE_MODEL=org.gcube.dataanalysis.ensemble.EnsembleAlgorithm
|
||||
ICHTHYOP_MODEL_ONE_BY_ONE=org.gcube.dataanalysis.executor.rscripts.Ichthyopmodelonebyone
|
||||
STEP_3___VPA_ICCAT_BFT_E_PROJECTION=org.gcube.dataanalysis.executor.rscripts.STEP3VPAICCATBFTEProjection
|
||||
CCAMLR_EXPORTER_TOOL=org.gcube.dataanalysis.executor.rscripts.CCAMLRExporterTool
|
||||
STEP_2__VPA_ICCAT_BFT_E_VISUALISATION=org.gcube.dataanalysis.executor.rscripts.STEP2VPAICCATBFTEVISUALISATION
|
||||
ICHTHYOP_MODEL_MULTIPLE_RUNS=org.gcube.dataanalysis.executor.rscripts.Ichthyopmodelmultipleruns
|
||||
PARALLELIZED_STEP1_VPA_ICCAT_BFT_E_RETROS=org.gcube.dataanalysis.executor.rscripts.parallelizedSTEP1VPAICCATBFTERetros
|
||||
STEP_4_VPA_ICCAT_BFT_E_REPORT=org.gcube.dataanalysis.executor.rscripts.Step4VpaIccatBftEReport
|
||||
TUNA_ATLAS_DATA_ACCESS=org.gcube.dataanalysis.executor.rscripts.TunaAtlasDataAccess
|
||||
FIGIS_SPATIAL_REALLOCATION_SIMPLIFIED=org.fao.fi.dataanalysis.spread.SpatialReallocationSimplifiedAlgorithm
|
||||
FIGIS_SPATIAL_REALLOCATION_GENERIC=org.fao.fi.dataanalysis.spread.SpatialReallocationGenericAlgorithm
|
||||
FIGIS_SPATIAL_REALLOCATION_SIMPLIFIED_TABLE=org.fao.fi.dataanalysis.spread.SpatialReallocationSimplifiedTableAlgorithm
|
||||
FIGIS_SDMX_DATA_CONVERTER=org.fao.fi.dataanalysis.stats.SDMXDataConverter
|
||||
CATCHES_BY_SPECIES=org.gcube.dataanalysis.executor.rscripts.Catchesbyspecies
|
||||
CATCHES_BY_FLAGS=org.gcube.dataanalysis.executor.rscripts.Catchesbyflags
|
||||
MAKE_ICHTHYOP_NETCDF_CF_COMPLIANT=org.gcube.dataanalysis.executor.rscripts.MakeichthyopnetCDFCFcompliant
|
||||
ICHTHYOP_NETCDF_OUTPUT_TO_SHAPEFILE=org.gcube.dataanalysis.executor.rscripts.IchthyopnetCDFoutputtoshapefile
|
||||
GENETICALGORITHM=org.gcube.dataanalysis.executor.rscripts.GeneticAlgorithm
|
||||
GLOBAL_CATCHES=org.gcube.dataanalysis.executor.rscripts.Globalcatches
|
||||
MPA_INTERSECT_V2=org.gcube.dataanalysis.executor.rscripts.MPAIntersectv2
|
||||
QUICK_RANK_TRAIN=it.cnr.isti.hpc.quickrank.qrtrain.QuickRankTrain
|
||||
QUICK_RANK_TRAIN_NO_VALIDATION=it.cnr.isti.hpc.quickrank.qrtrainnovalid.QuickRankTrainNoValidation
|
||||
QUICK_RANK_TEST=it.cnr.isti.hpc.quickrank.qrtest.QuickRankTest
|
||||
STAT_VAL=org.gcube.dataanalysis.executor.rscripts.statval
|
||||
TUNA_ATLAS_INDICATOR_1__SPECIES_BY_OCEAN_=org.gcube.dataanalysis.executor.rscripts.TunaAtlasIndicator1SpeciesByOcean
|
||||
SIMULFISHKPIS=org.gcube.dataanalysis.executor.rscripts.SimulFishKPIs
|
||||
READWFS=org.gcube.dataanalysis.executor.rscripts.ReadWFS
|
||||
PROJECTIONS_REPORT_VPA_ICCAT_BFT_E=org.gcube.dataanalysis.executor.rscripts.ProjectionsreportVPAICCATBFTE
|
||||
WHOLE_STEPS_VPA_ICCAT_BFT_E=org.gcube.dataanalysis.executor.rscripts.WholeStepsVPAICCATBFTE
|
||||
CATCHES_BY_TYPE_OF_SCHOOL=org.gcube.dataanalysis.executor.rscripts.Catchesbytypeofschool
|
||||
CATCHES_BY_GEAR_SIMPLIFIED_VERSION=org.gcube.dataanalysis.executor.rscripts.Catchesbygearsimplifiedversion
|
||||
CATCHES_BY_FLAGS_SIMPLIFIED_VERSION=org.gcube.dataanalysis.executor.rscripts.Catchesbyflagssimplifiedversion
|
||||
CATCHES_BY_SPECIES_SIMPLIFIED_VERSION=org.gcube.dataanalysis.executor.rscripts.Catchesbyspeciessimplifiedversion
|
||||
CATCHES_BY_GEARS=org.gcube.dataanalysis.executor.rscripts.Catchesbygears
|
||||
COMPUTE_FISHERIES_INDICATORS_FROM_OWN_FORMATTED_DATASET=org.gcube.dataanalysis.executor.rscripts.Computefisheriesindicatorsfromownformatteddataset
|
||||
IMPORT_FISHERIES_FORMATTED_DATASET___QUICK_IMPORT=org.gcube.dataanalysis.executor.rscripts.ImportFisheriesFormattedDatasetQuickimport
|
||||
CATCHES_AGGREGATED_FOLLOWING_A_SELECT_VARIABLE=org.gcube.dataanalysis.executor.rscripts.Catchesaggregatedfollowingaselectvariable
|
||||
WTG=org.gcube.dataanalysis.executor.rscripts.WTG
|
||||
FEED_FORWARD_NEURAL_NETWORK_TRAINER=org.gcube.data.analysis.algorithms.neuralnetworks.feedforward.FeedForwardNeuralNetworkTrainer
|
||||
NCOUTPUTS2CSV_VPA_ICCAT_BFT_E=org.gcube.dataanalysis.executor.rscripts.ncOutputs2csvVPAICCATBFTE
|
||||
FEED_FORWARD_NEURAL_NETWORK_REGRESSOR=org.gcube.data.analysis.algorithms.neuralnetworks.feedforward.FeedForwardNeuralNetworkRegressor
|
||||
CMSY_2=org.gcube.dataanalysis.executor.rscripts.CMSY2
|
||||
CATCHES_INDICATORS_IOTC_REST_SERVICES=org.gcube.dataanalysis.executor.rscripts.catchesindicatorsiotcrestservices
|
||||
STAT_VAL_UNIPARTITE_NET=org.gcube.dataanalysis.executor.rscripts.STATVALUNIPARTITENET
|
||||
GEOGRSF_INTERSECTS=org.gcube.dataanalysis.executor.rscripts.GeoGRSFIntersects
|
||||
TESTING_ALGORITHM=org.gcube.dataanalysis.executor.rscripts.TestingAlgorithm
|
||||
SPATIAL_DISTRIBUTION_OF_CORRELATION=org.gcube.dataanalysis.executor.rscripts.SPATIALDISTRIBUTIONOFCORRELATION
|
||||
KAPPA_COEFFICIENT=org.gcube.data.analysis.algorithms.kstatistics.KStatistics
|
||||
TRANSFORM_IOTC_CATCH_AND_EFFORT_DSD_CECOASTAL_AND_CESURFACE=org.gcube.dataanalysis.executor.rscripts.TransformIOTCCatchandeffortDSDCECoastalandCESurface
|
||||
LOAD_CATCHES_DATASET_IN_SARDARA=org.gcube.dataanalysis.executor.rscripts.Loadcatchesdatasetinsardara
|
||||
LOAD_EFFORTS_DATASET_IN_SARDARA=org.gcube.dataanalysis.executor.rscripts.Loadeffortsdatasetinsardara
|
||||
SCATTERPLOT_DIAGRAM=org.gcube.dataanalysis.executor.rscripts.SCATTERPLOTDIAGRAM
|
||||
SPATIAL_DENSITY_DISTRIBUTION=org.gcube.dataanalysis.executor.rscripts.SPATIALDENSITYDISTRIBUTION
|
||||
GEOGRSF_BBOXLIST=org.gcube.dataanalysis.executor.rscripts.GeoGRSFBboxlist
|
||||
SHAPEFILE_IMPORTER=org.gcube.data.analysis.algorithms.shapefileimporter.ShapefileImporter
|
||||
MATLAS_OPTICS_CLUSTERING=it.cnr.isti.kdd.matlas.optics.Optics
|
||||
MATLAS_TRAJECTORY_BUILDER=it.cnr.isti.kdd.matlas.trajectoryBuilder.TrajectoryBuilder
|
||||
ENGLISH_NAMED_ENTITY_RECOGNIZER=org.gcube.data.analysis.algorithms.samplepipeline.SamplePipeline
|
||||
TWITTER_MONITOR=it.cnr.iit.wafi.gcube.twmon.sched.TwMonScheduler
|
||||
ENGLISH_NAMED_ENTITY_RECOGNIZER_FOR_TWEETS=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline01
|
||||
ENGLISH_NAMED_ENTITY_RECOGNIZER=org.gcube.data.analysis.algorithms.samplepipeline.AbstractPipeline
|
||||
GERMAN_NAMED_ENTITY_RECOGNIZER=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline02
|
||||
LANGUAGE_IDENTIFICATION_FOR_TWEETS=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline03
|
||||
ENGLISH_TWEET_TOKENIZER=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline04
|
||||
FRENCH_NAMED_ENTITY_RECOGNIZER=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline05
|
||||
PART_OF_SPEECH_TAGGER_FOR_TWEETS=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline06
|
||||
CYMRIE_WELSH_NAMED_ENTITY_RECOGNIZER=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline07
|
||||
FRENCH_NAMED_ENTITY_RECOGNIZER_FOR_TWEETS=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline08
|
||||
GERMAN_NAMED_ENTITY_RECOGNIZER_FOR_TWEETS=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline09
|
||||
ENGLISH_PART_OF_SPEECH_AND_MORPHOLOGY_ANAYLIZER=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline10
|
||||
NOUN_PHRASE_CHUNKER=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline11
|
||||
MEASUREMENT_EXPRESSION_ANNOTATOR=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline12
|
||||
ANNIE_PLUS_MEASUREMENTS=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline13
|
||||
GENERIC_OPINION_MINING_ENGLISH=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline14
|
||||
DECARBONET_ENVIRONMENTAL_ANNOTATOR=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline15
|
||||
DECARBONET_GERMAN_ENVIRONMENTAL_ANNOTATOR=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline16
|
||||
TWITTER_OPINION_MINING_ENGLISH=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline17
|
||||
THE_BREXIT_ANALYZER_PIPELINE=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline18
|
||||
SUMMA_TEXT_SUMMARIZATION_EN=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline19
|
||||
SUMMA_TEXT_SUMMARIZATION_ES=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline20
|
||||
OPEN_NLP_ENGLISH_PIPELINE=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline21
|
||||
OPEN_NLP_GERMAN_PIPELINE=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline22
|
||||
OPEN_NLP_DUTCH_PIPELINE=org.gcube.data.analysis.algorithms.samplepipeline.Pipeline23
|
||||
SMOOTH_SCATTERPLOT_DIAGRAM=org.gcube.dataanalysis.executor.rscripts.SMOOTHSCATTERPLOTDIAGRAM
|
||||
ENRICHMENT_FROM_NETCDF=org.gcube.dataanalysis.executor.rscripts.EnrichmentFromNetcdf
|
||||
CREATE_YOUR_OWN_VERSION_OF_THE_TUNA_ATLAS=org.gcube.dataanalysis.executor.rscripts.CreateyourownversionoftheTunaAtlas
|
||||
LOAD_A_DATASET_IN_SARDARA_DATABASE=org.gcube.dataanalysis.executor.rscripts.LoadadatasetinSardaraDatabase
|
||||
SAMPLE_KNIME_WORKFLOW=org.gcube.dataanalysis.executor.rscripts.SampleKnimeWorkflow
|
||||
KNIME_WORKSPACE_FILE_UPLOADER=org.gcube.dataanalysis.executor.rscripts.KnimeWorkspaceFileUploader
|
||||
MAXANDSAM_NETWORK_RECONTRUCTION_METHOD=org.gcube.dataanalysis.executor.rscripts.MaxAndSamNetworkRecontructionMethod
|
||||
DEBTRANK_SYSTEMIC_RISK_ESTIMATION=org.gcube.dataanalysis.executor.rscripts.DebtRankSystemicRiskEstimation
|
||||
TRANSFORM_CCSBT_TASK2_LONGLINE=org.gcube.dataanalysis.executor.rscripts.TransformCCSBTtask2Longline
|
||||
PROJECT_SIMULFISHKPIS_DEV=org.gcube.dataanalysis.executor.rscripts.ProjectSimulFishKPIsDEV
|
||||
AAPS_STAGING_PUBLISHER=org.gcube.dataanalysis.executor.rscripts.AAPSstagingpublisher
|
||||
STEP_1___VPA_ICCAT_BFT_E_RETROS_ONERUN=org.gcube.dataanalysis.executor.rscripts.STEP1VPAICCATBFTERetrosOneRun
|
||||
R_SAMPLE=org.gcube.dataanalysis.executor.rscripts.RSAMPLE
|
||||
STANBOL_WRAPPER=org.gcube.data.analysis.algorithms.stanbolwrapper.StanbolWrapper
|
||||
AAPS_NASO_PUBLISHER=org.gcube.dataanalysis.executor.rscripts.AAPSnasopublisher
|
||||
GEOGRAPHIC_PROXIMITY_TOOL=org.gcube.dataanalysis.executor.rscripts.GeographicProximityTool
|
||||
SCUBE=it.di.unipi.kdd.segregation.scube.SCubeGui
|
||||
GEOGRSF_INTERSECTS_BATCH=org.gcube.dataanalysis.executor.rscripts.GeoGRSFIntersectsBatch
|
||||
CSV_TO_NETCDF_CONVERTER_XY=org.gcube.data.analysis.algorithms.csvtonetcdfconverter.CsvToNetcdfConverterWrapperXY
|
||||
CSV_TO_NETCDF_CONVERTER_XYZ=org.gcube.data.analysis.algorithms.csvtonetcdfconverter.CsvToNetcdfConverterWrapperXYZ
|
||||
CSV_TO_NETCDF_CONVERTER_XYT=org.gcube.data.analysis.algorithms.csvtonetcdfconverter.CsvToNetcdfConverterWrapperXYT
|
||||
CSV_TO_NETCDF_CONVERTER_XYZT=org.gcube.data.analysis.algorithms.csvtonetcdfconverter.CsvToNetcdfConverterWrapperXYZT
|
||||
STEP_1___VPA_ICCAT_BFT_E_RETROS=org.gcube.dataanalysis.executor.rscripts.STEP1VPAICCATBFTERETROS
|
||||
AAPS_PUBLIC_PUBLISHER=org.gcube.dataanalysis.executor.rscripts.AAPSpublicpublisher
|
||||
SIMULFISHKPIS_PRE=org.gcube.dataanalysis.executor.rscripts.SIMULFISHKPISPRE
|
||||
CSV_TO_NETCDF_CONVERTER_DIMCHAR=org.gcube.data.analysis.algorithms.csvtonetcdfconverter.CsvToNetcdfConverterWrapperDimChar
|
||||
MPASINTERSECTIONANALYSIS=org.gcube.dataanalysis.executor.rscripts.MPAsIntersectionAnalysis
|
||||
VSURF=org.gcube.dataanalysis.executor.rscripts.VSURF
|
||||
TRAIN=org.gcube.dataanalysis.executor.rscripts.train
|
||||
MPA_INTERSECT_V3=org.gcube.dataanalysis.executor.rscripts.MpaIntersectV3
|
||||
SUPPORT_VECTOR_MACHINE_TRAINER=org.gcube.data.analysis.algorithms.supportvectormachine.SupportVectorMachine
|
||||
MPA_INTERSECT_V3_2=org.gcube.dataanalysis.executor.rscripts.MpaIntersectV32
|
||||
SUPPORT_VECTOR_MACHINE_TRAINER=org.gcube.data.analysis.algorithms.supportvectormachine.SupportVectorMachineTrainer
|
||||
SUPPORT_VECTOR_MACHINE_REGRESSOR=org.gcube.data.analysis.algorithms.supportvectormachine.SupportVectorMachineRegressor
|
||||
WEBTG_V2=org.gcube.dataanalysis.executor.rscripts.WebTGV2
|
||||
CMSY_FOR_DLM_TOOL=org.gcube.dataanalysis.executor.rscripts.CMSYFORDLMTOOL
|
||||
TEST_SAI_WS_INTERACTION=org.gcube.dataanalysis.executor.rscripts.TESTSAIWSINTERACTION
|
||||
GEO_INTERPOLATION=org.gcube.dataanalysis.seadatanet.SeaDataNetConnector_AutoCorrelation
|
|
@ -0,0 +1,46 @@
|
|||
FILTERING=HCAF_FILTER
|
||||
OCCURRENCES=OCCURRENCES_SUBTRACTION,OCCURRENCES_MERGER,OCCURRENCES_INTERSECTOR,ABSENCE_CELLS_FROM_AQUAMAPS,OCCURRENCES_DUPLICATES_DELETER,OCCURRENCES_MARINE_TERRESTRIAL,PRESENCE_CELLS_GENERATION,ABSENCE_GENERATION_FROM_OBIS
|
||||
CLIMATE=BIOCLIMATE_HCAF,BIOCLIMATE_HSPEC,BIOCLIMATE_HSPEN
|
||||
TAXA=BIONYM_LOCAL,BIONYM,BIONYM_BIODIV
|
||||
TIME_SERIES=HCAF_INTERPOLATION,TIME_SERIES_ANALYSIS
|
||||
OBIS_OBSERVATIONS_SPECIES_DATA=MOST_OBSERVED_SPECIES,MOST_OBSERVED_TAXA,SPECIES_OBSERVATIONS_PER_AREA
|
||||
OBIS_OBSERVATIONS_TRENDS=SPECIES_OBSERVATIONS_TREND_PER_YEAR,SPECIES_OBSERVATION_LME_AREA_PER_YEAR,SPECIES_OBSERVATION_MEOW_AREA_PER_YEAR,TAXONOMY_OBSERVATIONS_TREND_PER_YEAR
|
||||
DATABASES=GETTABLEDETAILS,LISTDBINFO,LISTDBNAMES,LISTDBSCHEMA,LISTTABLES,RANDOMSAMPLEONTABLE,SAMPLEONTABLE,SMARTSAMPLEONTABLE,SUBMITQUERY
|
||||
GEO_PROCESSING=XYEXTRACTOR,XYEXTRACTOR_TABLE,ZEXTRACTION,ZEXTRACTION_TABLE,TIMEEXTRACTION,TIMEEXTRACTION_TABLE,SEADATANET_INTERPOLATOR,ESRI_GRID_EXTRACTION,OCCURRENCE_ENRICHMENT,CSQUARES_TO_COORDINATES,CSQUARE_COLUMN_CREATOR,FAO_OCEAN_AREA_COLUMN_CREATOR,FAO_OCEAN_AREA_COLUMN_CREATOR_FROM_QUADRANT,GRID_CWP_TO_COORDINATES,CSV_TO_NETCDF_CONVERTER_XY,CSV_TO_NETCDF_CONVERTER_XYZ,CSV_TO_NETCDF_CONVERTER_XYT,CSV_TO_NETCDF_CONVERTER_XYZT,CSV_TO_NETCDF_CONVERTER_DIMCHAR,GEO_INTERPOLATION
|
||||
CHARTS=TIME_GEO_CHART,TIME_SERIES_CHARTS,GEO_CHART,GENERIC_CHARTS
|
||||
STOCK_ASSESSMENT=KNITR_COMPILER,ECOPATH_WITH_ECOSIM,ENSEMBLE_MODEL,CCAMLR_EXPORTER_TOOL,CMSY_2,CMSY_FOR_DLM_TOOL
|
||||
VESSELS=SGVM_INTERPOLATION,ESTIMATE_FISHING_ACTIVITY,ESTIMATE_MONTHLY_FISHING_EFFORT
|
||||
BAYESIAN_METHODS=MAX_ENT_NICHE_MODELLING,LWR,CMSY,FAOMSY,FEED_FORWARD_A_N_N_DISTRIBUTION,FEED_FORWARD_NEURAL_NETWORK_TRAINER,FEED_FORWARD_NEURAL_NETWORK_REGRESSOR,FEED_FORWARD_NEURAL_NETWORK_CLOUD_REGRESSOR
|
||||
PUBLISHING=RASTER_DATA_PUBLISHER,WEB_APP_PUBLISHER,SHAPEFILE_PUBLISHER,SHAPEFILE_IMPORTER
|
||||
MAPS=POLYGONS_TO_MAP,SPECIES_MAP_FROM_CSQUARES,SPECIES_MAP_FROM_POINTS,POINTS_TO_MAP,MAPS_COMPARISON
|
||||
EGIP=EGIP_ENERGY_AGGREGATED_DISTRIBUTION,EGIP_ENERGY_COUNTRY_DISTRIBUTION,EGIP_ENERGY_TRENDS,EGIP_ENERGY_YEAR_DISTRIBUTION
|
||||
CORRELATION_ANALYSIS=HRS,KAPPA_COEFFICIENT
|
||||
PERFORMANCES_EVALUATION=QUALITY_ANALYSIS,DISCREPANCY_ANALYSIS
|
||||
DATA_CLUSTERING=DBSCAN,LOF,KMEANS,XMEANS
|
||||
TRAINING=AQUAMAPSNN,HSPEN,FEED_FORWARD_ANN
|
||||
SPECIES_SIMULATION=AQUAMAPS_NATIVE,AQUAMAPS_NATIVE_2050,AQUAMAPS_SUITABLE,AQUAMAPS_SUITABLE_2050,AQUAMAPS_NATIVE_NEURALNETWORK,AQUAMAPS_SUITABLE_NEURALNETWORK
|
||||
SYSTEM=GENERIC_WORKER
|
||||
ICHTHYOP_MODEL=ICHTHYOP_MODEL_ONE_BY_ONE,ICHTHYOP_MODEL_MULTIPLE_RUNS,MAKE_ICHTHYOP_NETCDF_CF_COMPLIANT,ICHTHYOP_NETCDF_OUTPUT_TO_SHAPEFILE,SPATIAL_DISTRIBUTION_OF_CORRELATION,SCATTERPLOT_DIAGRAM,SPATIAL_DENSITY_DISTRIBUTION,SMOOTH_SCATTERPLOT_DIAGRAM,ENRICHMENT_FROM_NETCDF
|
||||
ICCAT_EASTERN_BFT_STOCK_ASSESSMENT=STEP_3___VPA_ICCAT_BFT_E_PROJECTION,STEP_2__VPA_ICCAT_BFT_E_VISUALISATION,PARALLELIZED_STEP1_VPA_ICCAT_BFT_E_RETROS,STEP_4_VPA_ICCAT_BFT_E_REPORT,PROJECTIONS_REPORT_VPA_ICCAT_BFT_E,WHOLE_STEPS_VPA_ICCAT_BFT_E,NCOUTPUTS2CSV_VPA_ICCAT_BFT_E,STEP_1___VPA_ICCAT_BFT_E_RETROS_ONERUN,STEP_1___VPA_ICCAT_BFT_E_RETROS
|
||||
ACCESS_TUNA_ATLAS_DATA=TUNA_ATLAS_DATA_ACCESS,CATCHES_BY_SPECIES,CATCHES_BY_FLAGS,GLOBAL_CATCHES,CATCHES_BY_TYPE_OF_SCHOOL,CATCHES_BY_GEAR_SIMPLIFIED_VERSION,CATCHES_BY_FLAGS_SIMPLIFIED_VERSION,CATCHES_BY_SPECIES_SIMPLIFIED_VERSION,CATCHES_BY_GEARS,COMPUTE_FISHERIES_INDICATORS_FROM_OWN_FORMATTED_DATASET,CATCHES_AGGREGATED_FOLLOWING_A_SELECT_VARIABLE,CATCHES_INDICATORS_IOTC_REST_SERVICES,TRANSFORM_IOTC_CATCH_AND_EFFORT_DSD_CECOASTAL_AND_CESURFACE,LOAD_CATCHES_DATASET_IN_SARDARA,LOAD_EFFORTS_DATASET_IN_SARDARA
|
||||
FIGIS_SPREAD=FIGIS_SPATIAL_REALLOCATION_SIMPLIFIED,FIGIS_SPATIAL_REALLOCATION_GENERIC,FIGIS_SPATIAL_REALLOCATION_SIMPLIFIED_TABLE
|
||||
FIGIS_STATS=FIGIS_SDMX_DATA_CONVERTER
|
||||
SAI_IMPORTED=GENETICALGORITHM,MPA_INTERSECT_V2,QUICK_RANK_TRAIN,QUICK_RANK_TRAIN_NO_VALIDATION,QUICK_RANK_TEST,STAT_VAL,TUNA_ATLAS_INDICATOR_1__SPECIES_BY_OCEAN_,SIMULFISHKPIS,READWFS,STAT_VAL_UNIPARTITE_NET,TESTING_ALGORITHM,MATLAS_OPTICS_CLUSTERING,MATLAS_TRAJECTORY_BUILDER,TWITTER_MONITOR,SCUBE
|
||||
TRANSFORM_AND_LOAD_TUNA_ATLAS_DATA=IMPORT_FISHERIES_FORMATTED_DATASET___QUICK_IMPORT,LOAD_A_DATASET_IN_SARDARA_DATABASE,TRANSFORM_CCSBT_TASK2_LONGLINE
|
||||
ENVRI=WTG,WEBTG_V2
|
||||
GATE_CLOUD=ENGLISH_NAMED_ENTITY_RECOGNIZER,ENGLISH_NAMED_ENTITY_RECOGNIZER_FOR_TWEETS,GERMAN_NAMED_ENTITY_RECOGNIZER,LANGUAGE_IDENTIFICATION_FOR_TWEETS,ENGLISH_TWEET_TOKENIZER,FRENCH_NAMED_ENTITY_RECOGNIZER,PART_OF_SPEECH_TAGGER_FOR_TWEETS,CYMRIE_WELSH_NAMED_ENTITY_RECOGNIZER,FRENCH_NAMED_ENTITY_RECOGNIZER_FOR_TWEETS,GERMAN_NAMED_ENTITY_RECOGNIZER_FOR_TWEETS,ENGLISH_PART_OF_SPEECH_AND_MORPHOLOGY_ANAYLIZER,NOUN_PHRASE_CHUNKER,MEASUREMENT_EXPRESSION_ANNOTATOR,ANNIE_PLUS_MEASUREMENTS,GENERIC_OPINION_MINING_ENGLISH,DECARBONET_ENVIRONMENTAL_ANNOTATOR,DECARBONET_GERMAN_ENVIRONMENTAL_ANNOTATOR,TWITTER_OPINION_MINING_ENGLISH,THE_BREXIT_ANALYZER_PIPELINE,SUMMA_TEXT_SUMMARIZATION_EN,SUMMA_TEXT_SUMMARIZATION_ES,OPEN_NLP_ENGLISH_PIPELINE,OPEN_NLP_GERMAN_PIPELINE,OPEN_NLP_DUTCH_PIPELINE
|
||||
CREATE_OWN_TUNA_ATLAS=CREATE_YOUR_OWN_VERSION_OF_THE_TUNA_ATLAS
|
||||
WORKFLOWS=SAMPLE_KNIME_WORKFLOW,KNIME_WORKSPACE_FILE_UPLOADER
|
||||
NETWORK_RECONSTRUCTION=MAXANDSAM_NETWORK_RECONTRUCTION_METHOD
|
||||
SYSTEMIC_RISK_ESTIMATION=DEBTRANK_SYSTEMIC_RISK_ESTIMATION
|
||||
DEVELOPMENT=PROJECT_SIMULFISHKPIS_DEV
|
||||
BLACK_BOX=R_SAMPLE
|
||||
NERLIX_ALGORITHMS=STANBOL_WRAPPER
|
||||
GEOSPATIAL=GEOGRAPHIC_PROXIMITY_TOOL
|
||||
GRSF=GEOGRSF_INTERSECTS_BATCH,GEOGRSF_INTERSECTS,GEOGRSF_BBOXLIST
|
||||
PREPRODUCTION=SIMULFISHKPIS_PRE
|
||||
BLUEBRIDGE_PROJECT_VRE=MPASINTERSECTIONANALYSIS,MPA_INTERSECT_V3,MPA_INTERSECT_V3_2
|
||||
STATISTICAL_ALGORITHMS=VSURF,TRAIN
|
||||
DATA_PUBLISHERS=AAPS_STAGING_PUBLISHER,AAPS_PUBLIC_PUBLISHER,AAPS_NASO_PUBLISHER
|
||||
MACHINE_LEARNING_METHODS=SUPPORT_VECTOR_MACHINE_TRAINER,SUPPORT_VECTOR_MACHINE_REGRESSOR
|
||||
TESTS=TEST_SAI_WS_INTERACTION
|
|
@ -86,7 +86,23 @@
|
|||
- name: Create a symlink to the gebco_08.nc file
|
||||
file: src={{ smartgears_user_home }}/data/gebco_08.nc dest={{ smartgears_instance_path }}/webapps/{{ dataminer_wps_name }}/ecocfg/gebco_08.nc state=link
|
||||
notify: Restart smartgears
|
||||
|
||||
|
||||
- name: Install a couple of jar files under ecocfg
|
||||
get_url: url=http://svn.research-infrastructures.eu/public/d4science/gcube/trunk/data-analysis/wps/src/main/webapp/ecocfg/{{ item }} dest={{ smartgears_instance_path }}/webapps/{{ dataminer_wps_name }}/ecocfg/{{ item }}
|
||||
with_items:
|
||||
- 'YASMEEN-matcher-1.2.0.1.jar'
|
||||
- 'YASMEEN-parser-1.2.0.jar'
|
||||
|
||||
- name: Install a couple of jar files under ecocfg/PARALLEL_PROCESSING
|
||||
get_url: url=http://svn.research-infrastructures.eu/public/d4science/gcube/trunk/data-analysis/wps/src/main/webapp/ecocfg/{{ item }} dest={{ smartgears_instance_path }}/webapps/{{ dataminer_wps_name }}/ecocfg/PARALLEL_PROCESSING/{{ item }}
|
||||
with_items:
|
||||
- 'YASMEEN-matcher-1.2.0.1.jar'
|
||||
- 'YASMEEN-parser-1.2.0.jar'
|
||||
|
||||
- name: Install the old properties files
|
||||
copy: src={{ item }} dest={{ smartgears_instance_path }}/webapps/{{ dataminer_wps_name }}/ecocfg/{{ item }} force=yes
|
||||
with_items: '{{ dataminer_properties_files }}'
|
||||
|
||||
- name: Install the script that fixes the WPS configuration
|
||||
become_user: "{{ d4science_ansible_become_user | default('root') }}"
|
||||
template: src=wps-config-fixer.j2 dest=/usr/local/bin/wps-config-fixer owner=root group=root mode=0555
|
||||
|
|
|
@ -13,7 +13,7 @@ server {
|
|||
{% endif %}
|
||||
access_log /var/log/nginx/{{ item.servername }}_access.log;
|
||||
error_log /var/log/nginx/{{ item.servername }}_error.log;
|
||||
root /usr/share/nginx/html/;
|
||||
root {{ item.web_document_root | default('/usr/share/nginx/html/') }};
|
||||
|
||||
{% if haproxy_ips is defined %}
|
||||
# We are behind haproxy
|
||||
|
@ -90,6 +90,14 @@ server {
|
|||
proxy_pass http://127.0.0.1:{{ smartgears_http_port }}/data-transfer-service;
|
||||
}
|
||||
{% endif %}
|
||||
{% if remote_opencpu_server is defined and remote_opencpu_server %}
|
||||
location {{ opencpu_context | default('/ocpu') }} {
|
||||
{% if smartgears_nginx_cors_enabled %}
|
||||
include /etc/nginx/snippets/nginx-cors.conf;
|
||||
{% endif %}
|
||||
proxy_pass http://{{ remote_opencpu_host }}:{{ opencpu_proxy_port | default('8004') }}{{ opencpu_context | default('/ocpu') }};
|
||||
}
|
||||
{% endif %}
|
||||
{% if rstudio_install_server is defined and rstudio_install_server %}
|
||||
location / {
|
||||
{% if smartgears_nginx_cors_enabled %}
|
||||
|
@ -128,8 +136,7 @@ server {
|
|||
access_log /var/log/nginx/{{ item.servername }}_access_ssl.log;
|
||||
error_log /var/log/nginx/{{ item.servername }}_error_ssl.log;
|
||||
|
||||
# This is the default for nginx on Ubuntu 14.04
|
||||
root /usr/share/nginx/html/;
|
||||
root {{ item.web_document_root | default('/usr/share/nginx/html/') }};
|
||||
|
||||
{% if haproxy_ips is defined %}
|
||||
# We are behind haproxy
|
||||
|
@ -206,6 +213,14 @@ server {
|
|||
proxy_pass http://127.0.0.1:{{ smartgears_http_port }}/data-transfer-service;
|
||||
}
|
||||
{% endif %}
|
||||
{% if remote_opencpu_server is defined and remote_opencpu_server %}
|
||||
location {{ opencpu_context | default('/ocpu') }} {
|
||||
{% if smartgears_nginx_cors_enabled %}
|
||||
include /etc/nginx/snippets/nginx-cors.conf;
|
||||
{% endif %}
|
||||
proxy_pass http://{{ remote_opencpu_host }}:{{ opencpu_proxy_port | default('8004') }}{{ opencpu_context | default('/ocpu') }};
|
||||
}
|
||||
{% endif %}
|
||||
{% if rstudio_install_server is defined and rstudio_install_server %}
|
||||
location / {
|
||||
{% if smartgears_nginx_cors_enabled %}
|
||||
|
|
|
@ -64,9 +64,12 @@ smartgears_tomcat_listen_address: '127.0.0.1'
|
|||
# The iptables rules use this
|
||||
http_port: '{{ smartgears_http_port }}'
|
||||
|
||||
# Used by nginx
|
||||
smartgears_web_document_root: '/usr/share/nginx/html/'
|
||||
|
||||
tomcat_m_webapps_unpack: True
|
||||
tomcat_m_instances:
|
||||
- { http_enabled: True, http_port: '{{ smartgears_http_port }}', http_address: '{{ smartgears_tomcat_listen_address }}', ajp_enabled: False, ajp_port: '8109', ajp_address: '127.0.0.1', restart_timeout: '{{ tomcat_m_restart_timeout }}', shutdown_port: '-1', java_home: '{{ jdk_java_home }}', user: '{{ smartgears_user }}', user_home: '{{ smartgears_user_home }}', user_shell: '{{ tomcat_m_default_user_shell }}', instance_path: '{{ smartgears_instance_path }}', max_threads: '{{ tomcat_m_max_threads }}', autodeploy: '{{ tomcat_m_webapps_autodeploy }}', unpack: '{{ tomcat_m_webapps_unpack }}', default_conf: True, java_opts: '{{ tomcat_m_java_opts }}', java_gc_opts: '{{ tomcat_m_java_gc_opts }}', other_java_opts: '{{ tomcat_m_other_java_opts }}', jmx_enabled: '{{ tomcat_m_jmx_enabled }}', jmx_disable_additional_ports: '{{ tomcat_m_jmx_disable_additional_ports }}', jmx_port: '{{ tomcat_m_jmx_port }}', jmx_use_ssl: '{{ tomcat_m_jmx_use_ssl }}', jmx_auth_enabled: '{{ tomcat_m_jmx_auth_enabled }}', jmx_auth_dir: '{{ tomcat_m_instances_base_path }}/{{ smartgears_http_port }}/conf', jmx_monitorpass: '{{ tomcat_m_jmx_monitorpass | default(omit) }}', jmx_controlpass: '{{ tomcat_m_jmx_controlpass | default(omit) }}', catalina_tmp_directory: '{{ smartgears_tomcat_tmp_dir }}', remote_debugging: '{{ tomcat_m_enable_remote_debugging }}', remote_debugging_port: '{{ smartgears_debugging_port }}', access_log_enabled: True, log_rotation_freq: daily, log_retain: 30, allowed_hosts: [ '0.0.0.0/0' ], app_contexts: '{{ smartgears_tomcat_contexts }}', skip_smartgears: False,smartgears_id: 1, servername: '{{ ansible_fqdn }}' }
|
||||
- { http_enabled: True, http_port: '{{ smartgears_http_port }}', http_address: '{{ smartgears_tomcat_listen_address }}', ajp_enabled: False, ajp_port: '8109', ajp_address: '127.0.0.1', restart_timeout: '{{ tomcat_m_restart_timeout }}', shutdown_port: '-1', java_home: '{{ jdk_java_home }}', user: '{{ smartgears_user }}', user_home: '{{ smartgears_user_home }}', user_shell: '{{ tomcat_m_default_user_shell }}', instance_path: '{{ smartgears_instance_path }}', max_threads: '{{ tomcat_m_max_threads }}', autodeploy: '{{ tomcat_m_webapps_autodeploy }}', unpack: '{{ tomcat_m_webapps_unpack }}', default_conf: True, java_opts: '{{ tomcat_m_java_opts }}', java_gc_opts: '{{ tomcat_m_java_gc_opts }}', other_java_opts: '{{ tomcat_m_other_java_opts }}', jmx_enabled: '{{ tomcat_m_jmx_enabled }}', jmx_disable_additional_ports: '{{ tomcat_m_jmx_disable_additional_ports }}', jmx_port: '{{ tomcat_m_jmx_port }}', jmx_use_ssl: '{{ tomcat_m_jmx_use_ssl }}', jmx_auth_enabled: '{{ tomcat_m_jmx_auth_enabled }}', jmx_auth_dir: '{{ tomcat_m_instances_base_path }}/{{ smartgears_http_port }}/conf', jmx_monitorpass: '{{ tomcat_m_jmx_monitorpass | default(omit) }}', jmx_controlpass: '{{ tomcat_m_jmx_controlpass | default(omit) }}', catalina_tmp_directory: '{{ smartgears_tomcat_tmp_dir }}', remote_debugging: '{{ tomcat_m_enable_remote_debugging }}', remote_debugging_port: '{{ smartgears_debugging_port }}', access_log_enabled: True, log_rotation_freq: daily, log_retain: 30, allowed_hosts: [ '0.0.0.0/0' ], app_contexts: '{{ smartgears_tomcat_contexts }}', web_document_root: '{{ smartgears_web_document_root }}' , skip_smartgears: False, smartgears_id: 1, servername: '{{ ansible_fqdn }}' }
|
||||
|
||||
# To enable debugging:
|
||||
# - Set
|
||||
|
|
|
@ -119,6 +119,7 @@
|
|||
become_user: '{{ smartgears_user }}'
|
||||
shell: /usr/local/bin/get-scopes {{ gcube_admin_token | default('') }}
|
||||
when: gcube_admin_token is defined or smartgears_upgrade
|
||||
ignore_errors: True
|
||||
notify: Restart smartgears
|
||||
tags: [ 'smartgears', 'smartgears_conf', 'tomcat' ]
|
||||
|
||||
|
@ -130,6 +131,20 @@
|
|||
notify: Restart smartgears
|
||||
tags: [ 'smartgears', 'smartgears_conf', 'tomcat' ]
|
||||
|
||||
- name: Create the data transfer webapp directory
|
||||
become: True
|
||||
become_user: '{{ smartgears_user }}'
|
||||
file: path={{ smartgears_instance_path }}/webapps/{{ data_trasfer_service_name }} state=directory
|
||||
when: data_transfer_service_install
|
||||
tags: [ 'smartgears', 'smartgears_data_trasfer', 'tomcat' ]
|
||||
|
||||
- name: Unarchive the data transfer webapp directory
|
||||
become: True
|
||||
become_user: '{{ smartgears_user }}'
|
||||
unarchive: src={{ smartgears_instance_path }}/webapps/{{ data_trasfer_service_name }}.war dest={{ smartgears_instance_path }}/webapps/{{ data_trasfer_service_name }} creates={{ smartgears_instance_path }}/webapps/{{ data_trasfer_service_name }}/WEB-INF/gcube-app.xml remote_src=yes
|
||||
when: data_transfer_service_install
|
||||
tags: [ 'smartgears', 'smartgears_data_trasfer', 'tomcat' ]
|
||||
|
||||
- name: Force a smartgears restart
|
||||
service: name='tomcat-instance-{{ smartgears_http_port }}' state=restarted
|
||||
when: smartgears_force_restart is defined and smartgears_force_restart
|
||||
|
|
Loading…
Reference in New Issue