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import functools
from devtools_testutils import AzureRecordedTestCase, EnvironmentVariableLoader, recorded_by_proxy
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalysisClient
from azure.ai.textanalytics.models import (
MultiLanguageTextInput,
MultiLanguageInput,
TextSentimentAnalysisInput,
AnalyzeTextSentimentResult,
SentimentActionResult,
SentenceSentiment,
)
TextAnalysisPreparer = functools.partial(
EnvironmentVariableLoader,
"text_analysis",
text_analysis_endpoint="https://Sanitized.cognitiveservices.azure.com/",
text_analysis_key="fake_key",
)
class TestTextAnalysis(AzureRecordedTestCase):
def create_client(self, endpoint: str, key: str) -> TextAnalysisClient:
return TextAnalysisClient(endpoint, AzureKeyCredential(key))
class TestTextAnalysisCase(TestTextAnalysis):
@TextAnalysisPreparer()
@recorded_by_proxy
def test_analyze_text_sentiment(self, text_analysis_endpoint, text_analysis_key):
client = self.create_client(text_analysis_endpoint, text_analysis_key)
text_a = (
"The food and service were unacceptable, but the concierge were nice. After talking to them about the "
"quality of the food and the process to get room service they refunded the money we spent at the "
"restaurant and gave us a voucher for nearby restaurants."
)
body = TextSentimentAnalysisInput(
text_input=MultiLanguageTextInput(
multi_language_inputs=[MultiLanguageInput(id="A", text=text_a, language="en")]
)
)
# Sync (non-LRO) call
result = client.analyze_text(body=body)
assert result is not None
assert isinstance(result, AnalyzeTextSentimentResult)
assert result.results is not None
assert result.results.documents is not None
for doc in result.results.documents:
assert isinstance(doc, SentimentActionResult)
assert doc.id is not None
assert doc.sentiment is not None
assert doc.confidence_scores is not None
assert doc.confidence_scores.positive is not None
assert doc.confidence_scores.neutral is not None
assert doc.confidence_scores.negative is not None
assert doc.sentences is not None
for sentence in doc.sentences:
assert isinstance(sentence, SentenceSentiment)
assert sentence.text is not None
assert sentence.sentiment is not None
assert sentence.confidence_scores is not None
assert sentence.confidence_scores.positive is not None
assert sentence.confidence_scores.neutral is not None
assert sentence.confidence_scores.negative is not None
assert sentence.offset is not None
assert sentence.length is not None
|
