# Copyright 2020 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
#
#     http://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.

from google.cloud.documentai_v1.types.document import Document


def quickstart(
    project_id: str,
    processor_id: str,
    location: str,
    file_path: str,
) -> Document:
    # [START documentai_quickstart]
    from google.api_core.client_options import ClientOptions
    from google.cloud import documentai_v1

    # TODO(developer): Create a processor of type "OCR_PROCESSOR".

    # TODO(developer): Update and uncomment these variables before running the sample.
    # project_id = "MY_PROJECT_ID"

    # Processor ID as hexadecimal characters.
    # Not to be confused with the Processor Display Name.
    # processor_id = "MY_PROCESSOR_ID"

    # Processor location. For example: "us" or "eu".
    # location = "MY_PROCESSOR_LOCATION"

    # Path for file to process.
    # file_path = "/path/to/local/pdf"

    # Set `api_endpoint` if you use a location other than "us".
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    # Initialize Document AI client.
    client = documentai_v1.DocumentProcessorServiceClient(client_options=opts)

    # Get the Fully-qualified Processor path.
    full_processor_name = client.processor_path(project_id, location, processor_id)

    # Get a Processor reference.
    request = documentai_v1.GetProcessorRequest(name=full_processor_name)
    processor = client.get_processor(request=request)

    # `processor.name` is the full resource name of the processor.
    # For example: `projects/{project_id}/locations/{location}/processors/{processor_id}`
    print(f"Processor Name: {processor.name}")

    # Read the file into memory.
    with open(file_path, "rb") as image:
        image_content = image.read()

    # Load binary data.
    # For supported MIME types, refer to https://cloud.google.com/document-ai/docs/file-types
    raw_document = documentai_v1.RawDocument(
        content=image_content,
        mime_type="application/pdf",
    )

    # Send a request and get the processed document.
    request = documentai_v1.ProcessRequest(name=processor.name, raw_document=raw_document)
    result = client.process_document(request=request)
    document = result.document

    # Read the text recognition output from the processor.
    # For a full list of `Document` object attributes, reference this page:
    # https://cloud.google.com/document-ai/docs/reference/rest/v1/Document
    print("The document contains the following text:")
    print(document.text)
    # [END documentai_quickstart]

    return document