File: test_analyze_text_language_detection_async.py

package info (click to toggle)
python-azure 20251014%2Bgit-1
  • links: PTS, VCS
  • area: main
  • in suites: forky
  • size: 766,472 kB
  • sloc: python: 6,314,744; ansic: 804; javascript: 287; makefile: 198; sh: 198; xml: 109
file content (58 lines) | stat: -rw-r--r-- 2,177 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
import functools
import pytest

from devtools_testutils import (
    AzureRecordedTestCase,
    EnvironmentVariableLoader,
)
from devtools_testutils.aio import recorded_by_proxy_async
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics.aio import TextAnalysisClient
from azure.ai.textanalytics.models import (
    TextLanguageDetectionInput,
    LanguageDetectionTextInput,
    LanguageInput,
    AnalyzeTextLanguageDetectionResult,
    LanguageDetectionDocumentResult,
)

TextAnalysisPreparer = functools.partial(
    EnvironmentVariableLoader,
    "text_analysis",
    text_analysis_endpoint="https://Sanitized.cognitiveservices.azure.com/",
    text_analysis_key="fake_key",
)


class TestTextAnalysisAsync(AzureRecordedTestCase):
    def create_client(self, endpoint: str, key: str) -> TextAnalysisClient:
        return TextAnalysisClient(endpoint, AzureKeyCredential(key))


class TestTextAnalysisCaseAsync(TestTextAnalysisAsync):
    @TextAnalysisPreparer()
    @recorded_by_proxy_async
    @pytest.mark.asyncio
    async def test_analyze_text_language_detection_async(self, text_analysis_endpoint, text_analysis_key):
        async with self.create_client(text_analysis_endpoint, text_analysis_key) as client:
            text_a = "Sentences in different languages."

            body = TextLanguageDetectionInput(
                text_input=LanguageDetectionTextInput(language_inputs=[LanguageInput(id="A", text=text_a)])
            )

            result = await client.analyze_text(body=body)

            assert result is not None
            assert isinstance(result, AnalyzeTextLanguageDetectionResult)

            assert result.results is not None
            assert result.results.documents is not None

            for doc in result.results.documents:
                assert isinstance(doc, LanguageDetectionDocumentResult)
                assert doc.id is not None
                assert doc.detected_language is not None
                assert doc.detected_language.name is not None
                assert doc.detected_language.iso6391_name is not None
                assert doc.detected_language.confidence_score is not None