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44 changes: 22 additions & 22 deletions samples/snippets/batch_process_documents_sample_v1beta3.py
Original file line number Diff line number Diff line change
Expand Up @@ -78,28 +78,28 @@ def batch_process_documents(
print("Output files:")

for i, blob in enumerate(blob_list):
# Download the contents of this blob as a bytes object.
if ".json" not in blob.name:
print(f"skipping non-supported file type {blob.name}")
return
# Only parses JSON files
blob_as_bytes = blob.download_as_bytes()

document = documentai.types.Document.from_json(blob_as_bytes)
print(f"Fetched file {i + 1}")

# For a full list of Document object attributes, please reference this page: https://googleapis.dev/python/documentai/latest/_modules/google/cloud/documentai_v1beta3/types/document.html#Document

# Read the text recognition output from the processor
for page in document.pages:
for form_field in page.form_fields:
field_name = get_text(form_field.field_name, document)
field_value = get_text(form_field.field_value, document)
print("Extracted key value pair:")
print(f"\t{field_name}, {field_value}")
for paragraph in document.pages:
paragraph_text = get_text(paragraph.layout, document)
print(f"Paragraph text:\n{paragraph_text}")
# If JSON file, download the contents of this blob as a bytes object.
if ".json" in blob.name:
blob_as_bytes = blob.download_as_bytes()

document = documentai.types.Document.from_json(blob_as_bytes)
print(f"Fetched file {i + 1}")

# For a full list of Document object attributes, please reference this page:
# https://cloud.google.com/document-ai/docs/reference/rpc/google.cloud.documentai.v1beta3#document

# Read the text recognition output from the processor
for page in document.pages:
for form_field in page.form_fields:
field_name = get_text(form_field.field_name, document)
field_value = get_text(form_field.field_value, document)
print("Extracted key value pair:")
print(f"\t{field_name}, {field_value}")
for paragraph in document.pages:
paragraph_text = get_text(paragraph.layout, document)
print(f"Paragraph text:\n{paragraph_text}")
else:
print(f"Skipping non-supported file type {blob.name}")


# Extract shards from the text field
Expand Down