[test] Refine RESPX mock

tests/recognizers/test_openai.py

@@ -1,8 +1,6 @@
-from unittest import TestCase
-from unittest.mock import MagicMock, patch
+from unittest.mock import MagicMock
 
 import httpx
-import pytest
 import respx
 
 from speech_recognition import AudioData, Recognizer
@@ -13,7 +11,11 @@
 def test_transcribe_with_openai_whisper(respx_mock, monkeypatch):
     monkeypatch.setenv("OPENAI_API_KEY", "sk_openai_api_key")
 
-    respx_mock.post("https://api.openai.com/v1/audio/transcriptions").mock(
+    respx_mock.post(
+        "https://api.openai.com/v1/audio/transcriptions",
+        headers__contains={"Authorization": "Bearer sk_openai_api_key"},
+        data__contains={"model": "whisper-1"},
+    ).mock(
         return_value=httpx.Response(
             200,
             json={"text": "Transcription by OpenAI Whisper"},
@@ -28,41 +30,3 @@ def test_transcribe_with_openai_whisper(respx_mock, monkeypatch):
     )
 
     assert actual == "Transcription by OpenAI Whisper"
-
-
-@pytest.mark.skip
-@patch("speech_recognition.recognizers.whisper.os.environ")
-@patch("speech_recognition.recognizers.whisper.BytesIO")
-@patch("openai.OpenAI")
-class RecognizeWhisperApiTestCase(TestCase):
-    def test_recognize_default_arguments(self, OpenAI, BytesIO, environ):
-        client = OpenAI.return_value
-        transcript = client.audio.transcriptions.create.return_value
-
-        recognizer = MagicMock(spec=Recognizer)
-        audio_data = MagicMock(spec=AudioData)
-
-        actual = whisper.recognize_whisper_api(recognizer, audio_data)
-
-        self.assertEqual(actual, transcript.text)
-        audio_data.get_wav_data.assert_called_once_with()
-        BytesIO.assert_called_once_with(audio_data.get_wav_data.return_value)
-        OpenAI.assert_called_once_with(api_key=None)
-        client.audio.transcriptions.create.assert_called_once_with(
-            file=BytesIO.return_value, model="whisper-1"
-        )
-
-    def test_recognize_pass_arguments(self, OpenAI, BytesIO, environ):
-        client = OpenAI.return_value
-
-        recognizer = MagicMock(spec=Recognizer)
-        audio_data = MagicMock(spec=AudioData)
-
-        _ = whisper.recognize_whisper_api(
-            recognizer, audio_data, model="x-whisper", api_key="OPENAI_API_KEY"
-        )
-
-        OpenAI.assert_called_once_with(api_key="OPENAI_API_KEY")
-        client.audio.transcriptions.create.assert_called_once_with(
-            file=BytesIO.return_value, model="x-whisper"
-        )