Unit test generated by RoostGPT

projects/Speech_to_text/test_SpeechToTextRecordVoice.py

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+# ********RoostGPT********
+"""
+Test generated by RoostGPT for test python-testing using AI Type AWS Bedrock Runtime AI and AI Model mistral.mixtral-8x7b-instruct-v0:1
+
+ROOST_METHOD_HASH=record_voice_e0d65421fc
+ROOST_METHOD_SIG_HASH=record_voice_da271465ef
+
+
+ Scenario 1: Test if the function correctly recognizes and returns a simple phrase
+Details:
+  TestName: test\_record\_voice\_simple\_phrase
+  Description: Verify that the function correctly recognizes and returns a simple phrase spoken into the microphone.
+Execution:
+  Arrange: Ensure a quiet environment and have the necessary hardware (microphone) connected.
+  Act: Call the record\_voice() function and speak a simple phrase into the microphone.
+  Assert: Check if the returned value matches the spoken phrase.
+Validation:
+  This test scenario validates the basic functionality of the record\_voice() function, ensuring that it can correctly recognize and return a simple phrase spoken into the microphone.
+
+Scenario 2: Test if the function handles ambient noise correctly
+Details:
+  TestName: test\_record\_voice\_ambient\_noise
+  Description: Verify that the function correctly handles ambient noise and adjusts the recognition accordingly.
+Execution:
+  Arrange: Create a noisy environment with background sounds or speech.
+  Act: Call the record\_voice() function and speak a phrase into the microphone.
+  Assert: Check if the returned value matches the spoken phrase or if the function indicates that it didn't understand the input.
+Validation:
+  This test scenario validates the ability of the record\_voice() function to handle noisy environments and adjust its recognition accordingly, ensuring that it can still recognize the user's voice in various noise conditions.
+
+Scenario 3: Test if the function handles unknown phrases correctly
+Details:
+  TestName: test\_record\_voice\_unknown\_phrase
+  Description: Verify that the function correctly handles phrases that it doesn't recognize.
+Execution:
+  Arrange: Prepare a phrase that is not in the recognizer's vocabulary.
+  Act: Call the record\_voice() function and speak the unknown phrase into the microphone.
+  Assert: Check if the returned value indicates that the function didn't understand the input.
+Validation:
+  This test scenario validates the error handling of the record\_voice() function, ensuring that it can indicate when it encounters an unknown phrase and provide an appropriate error message.
+
+Scenario 4: Test if the function handles exceptions correctly
+Details:
+  TestName: test\_record\_voice\_exceptions
+  Description: Verify that the function correctly handles exceptions that may occur during the recognition process.
+Execution:
+  Arrange: Prepare a situation where an exception may occur, such as a sudden loss of microphone access or a failure in the recognizer.
+  Act: Call the record\_voice() function and attempt to trigger the exception.
+  Assert: Check if the function handles the exception gracefully and returns an appropriate error message.
+Validation:
+  This test scenario validates the exception handling of the record\_voice() function, ensuring that it can handle unexpected situations and provide an appropriate error message to the user.
+"""
+
+# ********RoostGPT********
+ Here is the pytest file with the required test scenarios:
+
+```python
+import pytest
+import speech_recognition
+from projects.Speech_to_text.speech_to_text import record_voice
+
+@pytest.mark.record_voice
+@pytest.mark.positive
+@pytest.mark.parametrize(
+    "test_input,expected",

pytest.ini

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+[pytest]
+markers =
+    record_voice: mark a test as record_voice scenario
+    positive: mark a test as positive scenario
+    parametrize: mark a test as parametrize scenario

requirements-roost.txt

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+
+-r /var/tmp/Roost/RoostGPT/python-testing/16f48bb2-e87d-484c-8516-994daf9e92fe/source/python-mini-projects/projects/Speech_to_text/requirements.txt