/AWS1/IF_PZZ=>LISTRECOMMENDERS()¶
About ListRecommenders¶
Returns a list of recommenders in a given Domain dataset group. When a Domain dataset group is not specified, all the recommenders associated with the account are listed. The response provides the properties for each recommender, including the Amazon Resource Name (ARN). For more information on recommenders, see CreateRecommender.
Method Signature¶
METHODS /AWS1/IF_PZZ~LISTRECOMMENDERS
IMPORTING
!IV_DATASETGROUPARN TYPE /AWS1/PZZARN OPTIONAL
!IV_NEXTTOKEN TYPE /AWS1/PZZNEXTTOKEN OPTIONAL
!IV_MAXRESULTS TYPE /AWS1/PZZMAXRESULTS OPTIONAL
RETURNING
VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_pzzlstrecommendersrsp
RAISING
/AWS1/CX_PZZINVALIDINPUTEX
/AWS1/CX_PZZINVALIDNEXTTOKENEX
/AWS1/CX_PZZCLIENTEXC
/AWS1/CX_PZZSERVEREXC
/AWS1/CX_RT_TECHNICAL_GENERIC
/AWS1/CX_RT_SERVICE_GENERIC.
IMPORTING¶
Optional arguments:¶
iv_datasetgrouparn TYPE /AWS1/PZZARN /AWS1/PZZARN¶
The Amazon Resource Name (ARN) of the Domain dataset group to list the recommenders for. When a Domain dataset group is not specified, all the recommenders associated with the account are listed.
iv_nexttoken TYPE /AWS1/PZZNEXTTOKEN /AWS1/PZZNEXTTOKEN¶
A token returned from the previous call to
ListRecommendersfor getting the next set of recommenders (if they exist).
iv_maxresults TYPE /AWS1/PZZMAXRESULTS /AWS1/PZZMAXRESULTS¶
The maximum number of recommenders to return.
RETURNING¶
oo_output TYPE REF TO /aws1/cl_pzzlstrecommendersrsp /AWS1/CL_PZZLSTRECOMMENDERSRSP¶
Domain /AWS1/RT_ACCOUNT_ID Primitive Type NUMC
Examples¶
Syntax Example¶
This is an example of the syntax for calling the method. It includes every possible argument and initializes every possible value. The data provided is not necessarily semantically accurate (for example the value "string" may be provided for something that is intended to be an instance ID, or in some cases two arguments may be mutually exclusive). The syntax shows the ABAP syntax for creating the various data structures.
DATA(lo_result) = lo_client->listrecommenders(
iv_datasetgrouparn = |string|
iv_maxresults = 123
iv_nexttoken = |string|
).
This is an example of reading all possible response values
lo_result = lo_result.
IF lo_result IS NOT INITIAL.
LOOP AT lo_result->get_recommenders( ) into lo_row.
lo_row_1 = lo_row.
IF lo_row_1 IS NOT INITIAL.
lv_name = lo_row_1->get_name( ).
lv_arn = lo_row_1->get_recommenderarn( ).
lv_arn = lo_row_1->get_datasetgrouparn( ).
lv_arn = lo_row_1->get_recipearn( ).
lo_recommenderconfig = lo_row_1->get_recommenderconfig( ).
IF lo_recommenderconfig IS NOT INITIAL.
LOOP AT lo_recommenderconfig->get_itemexplorationconfig( ) into ls_row_2.
lv_key = ls_row_2-key.
lo_value = ls_row_2-value.
IF lo_value IS NOT INITIAL.
lv_parametervalue = lo_value->get_value( ).
ENDIF.
ENDLOOP.
lv_transactionspersecond = lo_recommenderconfig->get_minrecommendationreqsp00( ).
lo_trainingdataconfig = lo_recommenderconfig->get_trainingdataconfig( ).
IF lo_trainingdataconfig IS NOT INITIAL.
LOOP AT lo_trainingdataconfig->get_excludeddatasetcolumns( ) into ls_row_3.
lv_key_1 = ls_row_3-key.
LOOP AT ls_row_3-value into lo_row_4.
lo_row_5 = lo_row_4.
IF lo_row_5 IS NOT INITIAL.
lv_columnname = lo_row_5->get_value( ).
ENDIF.
ENDLOOP.
ENDLOOP.
LOOP AT lo_trainingdataconfig->get_includeddatasetcolumns( ) into ls_row_6.
lv_key_1 = ls_row_6-key.
LOOP AT ls_row_6-value into lo_row_4.
lo_row_5 = lo_row_4.
IF lo_row_5 IS NOT INITIAL.
lv_columnname = lo_row_5->get_value( ).
ENDIF.
ENDLOOP.
ENDLOOP.
ENDIF.
lv_boolean = lo_recommenderconfig->get_enbmetwthrecommendations( ).
ENDIF.
lv_status = lo_row_1->get_status( ).
lv_date = lo_row_1->get_creationdatetime( ).
lv_date = lo_row_1->get_lastupdateddatetime( ).
ENDIF.
ENDLOOP.
lv_nexttoken = lo_result->get_nexttoken( ).
ENDIF.