Package: adamapi
InstallationVersioningadamapi==2.2.2.2, This pachage works only with ADAMCORE 2.Requirementssudoapt-getinstallpython3-venvpython3-gdalgdal-binInstall with pipVENVNAME="adamapi"python3-mvenv"${VENVNAME}"source"${VENVNAME}/bin/activate";python3-mpipinstall--upgradepip;pipinstalladamapi
ln-s"/usr/lib/python3/dist-packages/osgeo""${VENVNAME}/lib/python3.8/site-packages/osgeo"API DEFINITIONSThis document briefly describes the ADMAPI functionalities.The ADAMAPI library is divided in 4 modules:Auth --> the authorization moduleDatasets --> to get the list of datasetsSearch --> to get the lists of products, including associated metadata (e.g. geometry, cloud cover, orbit, tile, ...)GetData --> to retrieve the product(s). It includes options for subsetting products in space and time, for downloading at native data granularity and with reduced processing capacity1 - AuthThis module takes care of user authentication and authorization.Without instancing an object of this module other components don't work.Auth module is based on the ADAMAPI_KEY, a key that uniquelly identifies the user.Class contructor and parametersfromadamapiimportAutha=Auth()Parameters:position/keywordmandatorytypedefaultdescriptionPublic methods and parameters.setKey()--> To setup the ADAMAPI_KEYParameters:position/keywordmandatorytypedefaultdescription0TruestrThe ADAMAPI_KEY.setAdamCore()--> To setup the url of the ADAM-CORE endpointParameters:position/keywordmandatorytypedefaultdescription0TruestrThe url likehttps://test.adamplatform.eu.authorize()--> to instanciate an auth objectParameters:position/keywordmandatorytypedefaultdescription.getAuthToken()--> to get the authorization tokenParameters:position/keywordmandatorytypedefaultdescription1.1 - ADAMAPI_KEY retrievalTo get the ADAMAPI_KEY, you need to access your ADAM portal and:Select the "user icon" on the top rightExpand / click the "USERNAME"Click on the "Api Key" to display your key*Command-line ADAMAPI_KEY retrieval TBP*1.2 - ADAMAPI_KEY setupThere are three methods to setup the ADAMAPI_KEY and the ADAM-CORE instance:use the method setKey() and setAdamCore()fromadamapiimportAutha=Auth()a.setKey('<ADAMAPI_KEY>')a.setAdamCore('https://test.adamplatform.eu')Export two envars like#open a Terminal and type:exportADAMAPI_KEY='<ADAMAPI_KEY>'exportADAMAPI_URL='https://test.adamplatform.eu'create a file called.adamapircin the user home directory with the following contentkey=<ADAMAPI_KEY>
url=https://test.adamplatform.eu1.3 - ExamplesAfter ADAMAPI_KEY has been set up, an auth instance can be created with:fromadamapiimportAutha=Auth()a.authorize()After authorize method you can retrive your autho token:fromadamapiimportAutha=Auth()a.authorize()a.getAuthToken()2 - DatasetsThis module provides datasets discovery functionality.Class contructor and parametersfromadamapiimportDatasetsdatasets=Datasets(a)Parameters:position/keywordmandatorytypedefaultdescription0TrueAuth instanceThe ADAMAPI authorized instance obtained in the previous sectionPublic methods and parameters.getDatasets()--> To retrieve datasets listParameters:position/keywordmandatorytypedefaultdescription0FalsestrThe datasetId.pageFalsenumeric0Indicats a specific pagemaxRecordsFalsenumeric10Max number of results in output.This .getDatasets() function can be used to retrive additional filters which are described in the keyfiltersEnabled(if exists).2.1 ExamplesThis module can be used in 2 different ways.To list all available datasets:datasets=Datasets(a)print(datasets.getDatasets())To get detailed metadata about a specific datasetdatasets=Datasets(a)print(datasets.getDatasets('{{ID:DATASET}}',page=0,maxRecords=10))To get filtersEnabled. To use this additional filters see first example in Search section.datasets=Datasets(a)out=datasets.getDatasets("{{ID:DATASET}}")print(out["filtersEnabled"])3 - SearchThis module provides discovery functionality through the products available on the ADAM instance.Class contructor and parametersfromadamapiimportSearchsearch=Search(a)Parameters:position/keywordmandatorytypedefaultdescription0TrueAuth instanceThe ADAMAPI authorized instance obtained in section 1-AuthPublic methods and parameters.getProducts()--> To retrieve datasets list and metadataParameters:position/keywordmandatorytypedefaultdescription0TruestrThe datasetId.maxRecordsFalseint10number of recordsstartIndexFalseint0starting record indexstartDateFalsestr ordatetimethe start dateendDateFalsestr ordatetimethe end dategeometryFalsestr or geojsonGeoJson geometry,geojson formatappendix3.1 ExamplesExample1:search=Search(a)mongo_search=search.getProducts('{{ID:DATASET}}',maxRecords=1,startIndex=0,platform="{{VALUE}}")Example2:search=Search(a)mongo_search=search.getProducts('{{ID:DATASET}}',maxRecords=1,startIndex=0)4 - GetDataThis module provides data access of raster, spatial subset, timeseries in the native data granularity and reduced processing capacity.Class contructor and parametersfromadamapiimportGetDatadata=GetData(a)Parameters:position/keywordmandatorytypedefaultdescription0TrueAuth InstanceThe ADAMAPI authorized instance obtained in the section 1-AuthPublic methods and parameters.getData()--> To retrieve a specific product or a dataset in its native granularity, to get a subset of it, to perform a timeseries or to exec simple processingposition/keywordmandatorytypedefaultdescription0TruestrThe datasetId1TruestrGetFilerequest type. available values: GetFile,GetSubset, GetTimeseries and GetProcessingasynchronousFalsebooleanFalserappesents how the request will be performedcompressFalsebooleanFalsereturn a zip filerestFalsebooleanTrueperform RESTful order ignoring explorer state on the server and equalization configured using the explorer guifiltersTruejson{}json object with filters parameter. startDate and endDate are required inside it. Geometry is not required for GetFile operation, it is otherwiseoptionsFalsejson{}request optionoutputDirFalsestradamapiresults/set a different download directory insideadamapiresult/main directory4.1 Examplesdata=GetData(a)#to retrive a specific productimage=data.getData('{{ID:DATASET}}',"GetFile",asynchronous=False,compress=False,rest=False,filters={"startDate":'{{STARTDATE}}',"endDate":'{{ENDDATE}}',"productId":'{{PRODUCTID}}'},outputDir='{{OUTPUT_DIR}}')#to retrieve a dataset in its native granularitydata=GetData(self.a)image=data.getData('{{ID:DATASET}}',"GetFile",asynchronous=False,compress=False,rest=False,filters={"startDate":'{{STARTDATE}}',"endDate":'{{ENDDATE}}',"geometry":'{{GEOMETRY}}'},outputDir='{{OUTPUT_DIR}}')For the GetSubset,GetTimeseries and GetProcessing requests you need to add theoptionsparameter with these constraints :output formatsandfunctions(only for processing request)#subset exampleimage=data.getData('{{ID:DATASET}}',"GetSubset",asynchronous=False,compress=False,rest=False,filters={"startDate":'{{STARTDATE}}',"endDate":'{{ENDDATE}}',"geometry":'{{GEOMETRY}}'},options={"format":'{{FORMATS}}'},outputDir='{{OUTPUT_DIR}}')#timeseries exampleimage=data.getData('{{ID:DATASET}}',"GetTimeseries",asynchronous=False,compress=False,rest=False,filters={"startDate":'{{STARTDATE}}',"endDate":'{{ENDDATE}}',"geometry":'{{GEOMETRY}}'},options={"format":'{{FORMATS}}'},outputDir='{{OUTPUT_DIR}}')#processing exampleimage=data.getData('{{ID:DATASET}}',"GetProcessing",asynchronous=False,compress=False,rest=False,filters={"startDate":'{{STARTDATE}}',"endDate":'{{ENDDATE}}',"geometry":'{{GEOMETRY}}'},options={"format":'{{FORMAT}}',"function":'{{FUNCTION}}'},outputDir='{{OUTPUT_DIR}}')4.3 Asyncronous Example#1. execute the requestimage=data.getData('{{ID:DATASET}}',"GetSubset",asynchronous=False,compress=False,rest=False,filters={"startDate":'{{STARTDATE}}',"endDate":'{{ENDDATE}}',"geometry":'{{GEOMETRY}}'},options={"format":'{{FORMATS}}'},outputDir='{{OUTPUT_DIR}}')#2. check the statusstat=data.getData(datasetId,"GetSubset",asynchronous=True,id=str(image.pk))whilestat.status!="completed":time.sleep(1)stat=data.getData(datasetId,"GetSubset",asynchronous=True,id=str(image.pk))#3. download the zip,unzip it and remove the zip (optional)forresinstat.list:ifres["status"]=="failed":print(res["exit_code"])else:r=self.a.client(res["download"]["url"],{},"GET")withopen(str(res["download"]["url"].split("/")[4])+"_"+str(res["download"]["url"].split("/")[5]),'wb')asf:f.write(r.content)Appendix 1 - Data formatdate and date+timeSupported string date/date+time format are:'%Y-%m-%dT%H:%M:%S','%Y-%m-%dT%H:%M:%SZ','%Y-%m-%d'GeoJsonGeometry have to follow the latest geojson standardrfc7946In particular Polygons and MultiPolygons should follow the right-hand ruleGeometry#This geometry will return all the results it has intersected within itgeometry={"type":"Polygon","coordinates":[[[43.916666667,15.716666667],[43.916666667,15.416666667],[44.216666667,15.416666667],[44.216666667,15.716666667],[43.916666667,15.716666667]]]}#This geometry will return all the results it has intersected on its outsidegeometry={"type":"Polygon","coordinates":[[[43.84986877441406,15.925676536359038],[44.6539306640625,15.950766025306109],[44.681396484375,15.194084972583916],[43.8189697265625,15.20998780073036],[43.84986877441406,15.925676536359038]]]}Output Formatsrequestoutput formatGetFile-GetSubsettiff,pngGetTimeseriesjson,csvGetProcessingexperimentaltiff,pngProcessing FunctiontypedescriptionaverageWhen the GetProcessing retrieves a multi-band product or a set of products it executes the average of their valuesoverlapWhen the GetProcessing retrieves a set of products, it executes their overlap without any specific strategymosterecentWhen the GetProcessing retrieves a set of products, it puts on the top the most recent oneleastrecentWhen the GetProcessing retrieves a set of products, it puts on top the least recent oneminvalueWhen the GetProcessing retrieves a multi-band product or a set of products for each pixel it puts on top the minimum value of the pixelmaxvalueWhen the GetProcessing retrieves a multi-band product or a set of products for each pixel it for each pixel, puts on top the maximum value of the pixel