# coding: utf-8

# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------

"""
FILE: sample_get_words_on_document_line.py

DESCRIPTION:
    This sample demonstrates how to get the words contained in a DocumentLine.
    Please note that `get_words` on DocumentLine is only available in SDK version
    3.2.0b2 and later.

USAGE:
    python sample_get_words_on_document_line.py

    Set the environment variables with your own values before running the sample:
    1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
    2) AZURE_FORM_RECOGNIZER_KEY - your Form Recognizer API key
"""

import os

def format_bounding_region(bounding_regions):
    if not bounding_regions:
        return "N/A"
    return ", ".join("Page #{}: {}".format(region.page_number, format_bounding_box(region.bounding_box)) for region in bounding_regions)

def format_bounding_box(bounding_box):
    if not bounding_box:
        return "N/A"
    return ", ".join(["[{}, {}]".format(p.x, p.y) for p in bounding_box])


def get_words_on_document_line():
    path_to_sample_documents = os.path.abspath(
        os.path.join(
            os.path.abspath(__file__),
            "..",
            "..",
            "./sample_forms/forms/Form_1.jpg",
        )
    )

    from azure.core.credentials import AzureKeyCredential
    from azure.ai.formrecognizer import DocumentAnalysisClient

    endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
    key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]

    document_analysis_client = DocumentAnalysisClient(
        endpoint=endpoint, credential=AzureKeyCredential(key)
    )
    with open(path_to_sample_documents, "rb") as f:
        poller = document_analysis_client.begin_analyze_document(
            "prebuilt-document", document=f
        )
    result = poller.result()

    for idx, page in enumerate(result.pages):
        print("----Analyzing lines and words from page #{}----".format(idx + 1))
        print(
            "Page has width: {} and height: {}, measured with unit: {}".format(
                page.width, page.height, page.unit
            )
        )

        for line_idx, line in enumerate(page.lines):
            words = line.get_words()
            print(
                "...Line # {} has word count {} and text '{}' within bounding box '{}'".format(
                    line_idx,
                    len(words),
                    line.content,
                    format_bounding_box(line.bounding_box),
                )
            )

            for word in words:
                print(
                    "......Word '{}' has a confidence of {}".format(
                        word.content, word.confidence
                    )
                )

    print("----------------------------------------")


if __name__ == "__main__":
    get_words_on_document_line()
