Toolbox - Convert external annotations to Document format

  from 
  
 google.cloud.documentai_toolbox 
  
 import 
 converter 
 # TODO(developer): Uncomment these variables before running the sample. 
 # This sample will convert external annotations to the Document.json format used by Document AI Workbench for training. 
 # To process this the external annotation must have these type of objects: 
 #       1) Type 
 #       2) Text 
 #       3) Bounding Box (bounding boxes must be 1 of the 3 optional types) 
 # 
 # This is the bare minimum requirement to convert the annotations but for better accuracy you will need to also have: 
 #       1) Document width & height 
 # 
 # Bounding Box Types: 
 #   Type 1: 
 #       bounding_box:[{"x":1,"y":2},{"x":2,"y":2},{"x":2,"y":3},{"x":1,"y":3}] 
 #   Type 2: 
 #       bounding_box:{ "Width": 1, "Height": 1, "Left": 1, "Top": 1} 
 #   Type 3: 
 #       bounding_box: [1,2,2,2,2,3,1,3] 
 # 
 #   Note: If these types are not sufficient you can propose a feature request or contribute the new type and conversion functionality. 
 # 
 # Given a folders in gcs_input_path with the following structure : 
 # 
 # gs://path/to/input/folder 
 #   ├──test_annotations.json 
 #   ├──test_config.json 
 #   └──test.pdf 
 # 
 # An example of the config is in sample-converter-configs/Azure/form-config.json 
 # 
 # location = "us", 
 # processor_id = "my_processor_id" 
 # gcs_input_path = "gs://path/to/input/folder" 
 # gcs_output_path = "gs://path/to/input/folder" 
 def 
  
 convert_external_annotations_sample 
 ( 
 location 
 : 
 str 
 , 
 processor_id 
 : 
 str 
 , 
 project_id 
 : 
 str 
 , 
 gcs_input_path 
 : 
 str 
 , 
 gcs_output_path 
 : 
 str 
 , 
 ) 
 - 
> None 
 : 
 converter 
 . 
 convert_from_config 
 ( 
 project_id 
 = 
 project_id 
 , 
 location 
 = 
 location 
 , 
 processor_id 
 = 
 processor_id 
 , 
 gcs_input_path 
 = 
 gcs_input_path 
 , 
 gcs_output_path 
 = 
 gcs_output_path 
 , 
 )