# 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_analyze_addon_languages.py

DESCRIPTION:
    This sample demonstrates how to detect languages from the document using the
    add-on 'LANGUAGES' capability.

    This sample uses Layout model to demonstrate.

    Add-on capabilities accept a list of strings containing values from the `DocumentAnalysisFeature `
    enum class. For more information, see:
    https://aka.ms/azsdk/python/documentintelligence/analysisfeature.

    The following capabilities are free:
    - BARCODES
    - LANGUAGES

    The following capabilities will incur additional charges:
    - FORMULAS
    - OCR_HIGH_RESOLUTION
    - STYLE_FONT
    - QUERY_FIELDS

    See pricing: https://azure.microsoft.com/pricing/details/ai-document-intelligence/.

USAGE:
    python sample_analyze_addon_languages.py

    Set the environment variables with your own values before running the sample:
    1) DOCUMENTINTELLIGENCE_ENDPOINT - the endpoint to your Document Intelligence resource.
    2) DOCUMENTINTELLIGENCE_API_KEY - your Document Intelligence API key.
"""

import os


def analyze_languages():
    path_to_sample_documents = os.path.abspath(
        os.path.join(
            os.path.abspath(__file__),
            "..",
            "sample_forms/add_ons/fonts_and_languages.png",
        )
    )
    # [START analyze_languages]
    from azure.core.credentials import AzureKeyCredential
    from azure.ai.documentintelligence import DocumentIntelligenceClient
    from azure.ai.documentintelligence.models import DocumentAnalysisFeature, AnalyzeResult

    endpoint = os.environ["DOCUMENTINTELLIGENCE_ENDPOINT"]
    key = os.environ["DOCUMENTINTELLIGENCE_API_KEY"]

    document_intelligence_client = DocumentIntelligenceClient(endpoint=endpoint, credential=AzureKeyCredential(key))

    # Specify which add-on capabilities to enable.
    with open(path_to_sample_documents, "rb") as f:
        poller = document_intelligence_client.begin_analyze_document(
            "prebuilt-layout",
            body=f,
            features=[DocumentAnalysisFeature.LANGUAGES],
        )
    result: AnalyzeResult = poller.result()

    print("----Languages detected in the document----")
    if result.languages:
        print(f"Detected {len(result.languages)} languages:")
        for lang_idx, lang in enumerate(result.languages):
            print(f"- Language #{lang_idx}: locale '{lang.locale}'")
            print(f"  Confidence: {lang.confidence}")
            print(
                f"  Text: '{','.join([result.content[span.offset : span.offset + span.length] for span in lang.spans])}'"
            )

    print("----------------------------------------")
    # [END analyze_languages]


if __name__ == "__main__":
    from azure.core.exceptions import HttpResponseError
    from dotenv import find_dotenv, load_dotenv

    try:
        load_dotenv(find_dotenv())
        analyze_languages()
    except HttpResponseError as error:
        # Examples of how to check an HttpResponseError
        # Check by error code:
        if error.error is not None:
            if error.error.code == "InvalidImage":
                print(f"Received an invalid image error: {error.error}")
            if error.error.code == "InvalidRequest":
                print(f"Received an invalid request error: {error.error}")
            # Raise the error again after printing it
            raise
        # If the inner error is None and then it is possible to check the message to get more information:
        if "Invalid request".casefold() in error.message.casefold():
            print(f"Uh-oh! Seems there was an invalid request: {error}")
        # Raise the error again
        raise