Elaborare più documenti in batch

Questo esempio di codice può essere utilizzato per elaborare più documenti inseriti in un bucket Cloud Storage con la versione del processore predefinita.

I documenti inseriti in un bucket Cloud Storage di origine vengono elaborati in un'operazione a lunga esecuzione e i file elaborati vengono inseriti in un bucket Cloud Storage di destinazione in formato JSON.

Per una raccolta completa di esempi di codice per la versione SAP BTP di ABAP SDK for Google Cloud, consulta il repository di esempi di codice su GitHub.

Per una raccolta completa di esempi di codice per la versione on-premise o qualsiasi versione cloud di ABAP SDK for Google Cloud, consulta il repository di esempi di codice su GitHub.

Esempio di codice

Versione SAP BTP

" --------------------------------------------------------------------
"  Copyright 2024 Google LLC                                         -
"                                                                    -
"  Licensed under the Apache License, Version 2.0 (the "License");   -
"  you may not use this file except in compliance with the License.  -
"  You may obtain a copy of the License at                           -
"      https://www.apache.org/licenses/LICENSE-2.0                   -
"  Unless required by applicable law or agreed to in writing,        -
"  software distributed under the License is distributed on an       -
"  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,      -
"  either express or implied.                                        -
"  See the License for the specific language governing permissions   -
"  and limitations under the License.                                -
" --------------------------------------------------------------------
CLASS zcl_cs_batch_process_processor DEFINITION
  PUBLIC FINAL
  CREATE PUBLIC.

  PUBLIC SECTION.
    INTERFACES if_oo_adt_classrun.
ENDCLASS.


CLASS zcl_cs_batch_process_processor IMPLEMENTATION.
  METHOD if_oo_adt_classrun~main.
    " Data Declarations
    DATA lv_p_projects_id   TYPE string.
    DATA lv_p_locations_id  TYPE string.
    DATA lv_p_processors_id TYPE string.
    DATA ls_input           TYPE /goog/cl_documentai_v1=>ty_017.

    TRY.
        " Open HTTP Connection
        DATA(lo_client) = NEW /goog/cl_documentai_v1( iv_key_name = 'DEMO_DOCAI' ).

        " Populate relevant parameters
        lv_p_projects_id = lo_client->gv_project_id.
         " Location ID of the Processor
        lv_p_locations_id = 'LOCATION_ID'.
        " Processor ID of the Processor
        lv_p_processors_id = 'PROCESSOR_ID'.
        " Source GCS Bucket URI Prefix
        ls_input-input_documents-gcs_prefix-gcs_uri_prefix = 'SOURCE_GCS_BUCKET_URI_PREFIX'.
        " Target GCS Bucket URI
        ls_input-document_output_config-gcs_output_config-gcs_uri = 'TARGET_GCS_BUCKET_URI'.

        " Call API method
        lo_client->batch_process_processors( EXPORTING iv_p_projects_id   = lv_p_projects_id
                                                       iv_p_locations_id  = lv_p_locations_id
                                                       iv_p_processors_id = lv_p_processors_id
                                                       is_input           = ls_input
                                             IMPORTING es_output          = DATA(ls_output)
                                                       ev_ret_code        = DATA(ev_ret_code)
                                                       ev_err_text        = DATA(ev_err_text)
                                                       es_err_resp        = DATA(es_err_resp) ).

        IF /goog/cl_http_client=>is_success( ev_ret_code ).
          out->write( | Success | ).
        ELSE.
          out->write( | Error occurred: { ev_err_text }| ).
        ENDIF.

        " Close HTTP Connection
        lo_client->close( ).

      CATCH /goog/cx_sdk INTO DATA(lo_sdk_excp).
        ev_err_text = lo_sdk_excp->get_text( ).
        out->write( |Exception occurred: { ev_err_text } | ).
    ENDTRY.
  ENDMETHOD.
ENDCLASS.

Versione on-premise o qualsiasi versione cloud

**********************************************************************
*  Copyright 2023 Google LLC                                         *
*                                                                    *
*  Licensed under the Apache License, Version 2.0 (the "License");   *
*  you may not use this file except in compliance with the License.  *
*  You may obtain a copy of the License at                           *
*      https://www.apache.org/licenses/LICENSE-2.0                   *
*  Unless required by applicable law or agreed to in writing,        *
*  software distributed under the License is distributed on an       *
*  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,      *
*  either express or implied.                                        *
*  See the License for the specific language governing permissions   *
*  and limitations under the License.                                *
**********************************************************************

REPORT zr_batch_process_processors.

DATA:
  lv_p_projects_id   TYPE string,
  lv_p_locations_id  TYPE string,
  lv_p_processors_id TYPE string,
  ls_input           TYPE /goog/cl_documentai_v1=>ty_017.

TRY.
* Open HTTP Connection
    DATA(lo_client) = NEW /goog/cl_documentai_v1( iv_key_name = 'CLIENT_KEY' ).

* Populate relevant parameters
    lv_p_projects_id = lo_client->gv_project_id.
    lv_p_locations_id = 'LOCATION_ID'.  "Location ID of the Processor
    lv_p_processors_id = 'PROCESSOR_ID'.  "Processor ID of the Processor
    ls_input-input_documents-gcs_prefix-gcs_uri_prefix = 'SOURCE_GCS_BUCKET_URI_PREFIX'.  "Source GCS Bucket URI Prefix
    ls_input-document_output_config-gcs_output_config-gcs_uri = 'TARGET_GCS_BUCKET_URI'.  "Target GCS Bucket URI

* Call API method
    CALL METHOD lo_client->batch_process_processors
      EXPORTING
        iv_p_projects_id   = lv_p_projects_id
        iv_p_locations_id  = lv_p_locations_id
        iv_p_processors_id = lv_p_processors_id
        is_input           = ls_input
      IMPORTING
        es_output          = DATA(ls_output)
        ev_ret_code        = DATA(lv_ret_code)
        ev_err_text        = DATA(lv_err_text)
        es_err_resp        = DATA(ls_err_resp).

    IF /goog/cl_http_client=>is_success( lv_ret_code ).
      MESSAGE 'Success' TYPE 'S'.
    ELSE.
      MESSAGE lv_err_text TYPE 'E'.
    ENDIF.

* Close HTTP Connection
    lo_client->close( ).

  CATCH /goog/cx_sdk INTO DATA(lo_exception).
    MESSAGE lo_exception->get_text( ) TYPE 'E'.
ENDTRY.