Refactor in Google AI TTS in preparation for STT (#147562)

homeassistant/components/google_generative_ai_conversation/helpers.py

@@ -0,0 +1,73 @@
+"""Helper classes for Google Generative AI integration."""
+
+from __future__ import annotations
+
+from contextlib import suppress
+import io
+import wave
+
+from homeassistant.exceptions import HomeAssistantError
+
+from .const import LOGGER
+
+
+def convert_to_wav(audio_data: bytes, mime_type: str) -> bytes:
+    """Generate a WAV file header for the given audio data and parameters.
+
+    Args:
+        audio_data: The raw audio data as a bytes object.
+        mime_type: Mime type of the audio data.
+
+    Returns:
+        A bytes object representing the WAV file header.
+
+    """
+    parameters = _parse_audio_mime_type(mime_type)
+
+    wav_buffer = io.BytesIO()
+    with wave.open(wav_buffer, "wb") as wf:
+        wf.setnchannels(1)
+        wf.setsampwidth(parameters["bits_per_sample"] // 8)
+        wf.setframerate(parameters["rate"])
+        wf.writeframes(audio_data)
+
+    return wav_buffer.getvalue()
+
+
+# Below code is from https://aistudio.google.com/app/generate-speech
+# when you select "Get SDK code to generate speech".
+def _parse_audio_mime_type(mime_type: str) -> dict[str, int]:
+    """Parse bits per sample and rate from an audio MIME type string.
+
+    Assumes bits per sample is encoded like "L16" and rate as "rate=xxxxx".
+
+    Args:
+        mime_type: The audio MIME type string (e.g., "audio/L16;rate=24000").
+
+    Returns:
+        A dictionary with "bits_per_sample" and "rate" keys. Values will be
+        integers if found, otherwise None.
+
+    """
+    if not mime_type.startswith("audio/L"):
+        LOGGER.warning("Received unexpected MIME type %s", mime_type)
+        raise HomeAssistantError(f"Unsupported audio MIME type: {mime_type}")
+
+    bits_per_sample = 16
+    rate = 24000
+
+    # Extract rate from parameters
+    parts = mime_type.split(";")
+    for param in parts:  # Skip the main type part
+        param = param.strip()
+        if param.lower().startswith("rate="):
+            # Handle cases like "rate=" with no value or non-integer value and keep rate as default
+            with suppress(ValueError, IndexError):
+                rate_str = param.split("=", 1)[1]
+                rate = int(rate_str)
+        elif param.startswith("audio/L"):
+            # Keep bits_per_sample as default if conversion fails
+            with suppress(ValueError, IndexError):
+                bits_per_sample = int(param.split("L", 1)[1])
+
+    return {"bits_per_sample": bits_per_sample, "rate": rate}

homeassistant/components/google_generative_ai_conversation/tts.py

@@ -3,10 +3,7 @@
 from __future__ import annotations
 
 from collections.abc import Mapping
-from contextlib import suppress
-import io
 from typing import Any
-import wave
 
 from google.genai import types
 from google.genai.errors import APIError, ClientError
@@ -25,6 +22,7 @@ from homeassistant.helpers.entity_platform import AddConfigEntryEntitiesCallback
 
 from .const import CONF_CHAT_MODEL, LOGGER, RECOMMENDED_TTS_MODEL
 from .entity import GoogleGenerativeAILLMBaseEntity
+from .helpers import convert_to_wav
 
 
 async def async_setup_entry(
@@ -152,62 +150,4 @@ class GoogleGenerativeAITextToSpeechEntity(
         except (APIError, ClientError, ValueError) as exc:
             LOGGER.error("Error during TTS: %s", exc, exc_info=True)
             raise HomeAssistantError(exc) from exc
-        return "wav", self._convert_to_wav(data, mime_type)
-
-    def _convert_to_wav(self, audio_data: bytes, mime_type: str) -> bytes:
-        """Generate a WAV file header for the given audio data and parameters.
-
-        Args:
-            audio_data: The raw audio data as a bytes object.
-            mime_type: Mime type of the audio data.
-
-        Returns:
-            A bytes object representing the WAV file header.
-
-        """
-        parameters = self._parse_audio_mime_type(mime_type)
-
-        wav_buffer = io.BytesIO()
-        with wave.open(wav_buffer, "wb") as wf:
-            wf.setnchannels(1)
-            wf.setsampwidth(parameters["bits_per_sample"] // 8)
-            wf.setframerate(parameters["rate"])
-            wf.writeframes(audio_data)
-
-        return wav_buffer.getvalue()
-
-    def _parse_audio_mime_type(self, mime_type: str) -> dict[str, int]:
-        """Parse bits per sample and rate from an audio MIME type string.
-
-        Assumes bits per sample is encoded like "L16" and rate as "rate=xxxxx".
-
-        Args:
-            mime_type: The audio MIME type string (e.g., "audio/L16;rate=24000").
-
-        Returns:
-            A dictionary with "bits_per_sample" and "rate" keys. Values will be
-            integers if found, otherwise None.
-
-        """
-        if not mime_type.startswith("audio/L"):
-            LOGGER.warning("Received unexpected MIME type %s", mime_type)
-            raise HomeAssistantError(f"Unsupported audio MIME type: {mime_type}")
-
-        bits_per_sample = 16
-        rate = 24000
-
-        # Extract rate from parameters
-        parts = mime_type.split(";")
-        for param in parts:  # Skip the main type part
-            param = param.strip()
-            if param.lower().startswith("rate="):
-                # Handle cases like "rate=" with no value or non-integer value and keep rate as default
-                with suppress(ValueError, IndexError):
-                    rate_str = param.split("=", 1)[1]
-                    rate = int(rate_str)
-            elif param.startswith("audio/L"):
-                # Keep bits_per_sample as default if conversion fails
-                with suppress(ValueError, IndexError):
-                    bits_per_sample = int(param.split("L", 1)[1])
-
-        return {"bits_per_sample": bits_per_sample, "rate": rate}
+        return "wav", convert_to_wav(data, mime_type)