Adjustments of Async TTS for multicontext websocket support

src/pipecat/services/asyncai/tts.py

@@ -9,9 +9,9 @@
 import asyncio
 import base64
 import json
-from typing import AsyncGenerator, Optional, Dict
-
 import uuid
+from typing import AsyncGenerator, Optional
+
 import aiohttp
 from loguru import logger
 from pydantic import BaseModel
@@ -127,10 +127,6 @@ class AsyncAITTSService(AudioContextTTSService):
             **kwargs,
         )
 
-        self._contexts: Dict[str, asyncio.Queue] = {}
-        self._audio_context_task = None
-        self._context_id = None
-
         params = params or AsyncAITTSService.InputParams()
 
         self._api_key = api_key
@@ -153,6 +149,30 @@ class AsyncAITTSService(AudioContextTTSService):
         self._receive_task = None
         self._keepalive_task = None
         self._started = False
+        self._context_id = None
+
+    def can_generate_metrics(self) -> bool:
+        """Check if this service can generate processing metrics.
+
+        Returns:
+            True, as Async service supports metrics generation.
+        """
+        return True
+
+    def language_to_service_language(self, language: Language) -> Optional[str]:
+        """Convert a Language enum to Async language format.
+
+        Args:
+            language: The language to convert.
+
+        Returns:
+            The Async-specific language code, or None if not supported.
+        """
+        return language_to_async_language(language)
+
+    def _build_msg(self, text: str = "", context_id: str = "", force: bool = False) -> str:
+        msg = {"transcript": text, "context_id": context_id, "force": force}
+        return json.dumps(msg)
 
     async def start(self, frame: StartFrame):
         """Start the Async TTS service.
@@ -182,29 +202,6 @@ class AsyncAITTSService(AudioContextTTSService):
         await super().cancel(frame)
         await self._disconnect()
 
-    def can_generate_metrics(self) -> bool:
-        """Check if this service can generate processing metrics.
-
-        Returns:
-            True, as Async service supports metrics generation.
-        """
-        return True
-
-    def language_to_service_language(self, language: Language) -> Optional[str]:
-        """Convert a Language enum to Async language format.
-
-        Args:
-            language: The language to convert.
-
-        Returns:
-            The Async-specific language code, or None if not supported.
-        """
-        return language_to_async_language(language)
-
-    def _build_msg(self, text: str = "", context_id: str = "", force: bool = False) -> str:
-        msg = {"transcript": text, "context_id": context_id, "force": force}
-        return json.dumps(msg)
-
     async def _connect(self):
         await super()._connect()
 
@@ -264,7 +261,7 @@ class AsyncAITTSService(AudioContextTTSService):
                 await self._websocket.close()
                 logger.debug("Disconnected from Async")
         except Exception as e:
-            logger.error(f"{self} error closing websocket: {e}")
+            await self.push_error(error_msg=f"Unknown error occurred: {e}", exception=e)
         finally:
             self._websocket = None
             self._context_id = None
@@ -397,8 +394,6 @@ class AsyncAITTSService(AudioContextTTSService):
                     if not self.audio_context_available(self._context_id):
                         await self.create_audio_context(self._context_id)
 
-                    msg = self._build_msg(text=" ", context_id=self._context_id)
-                    await self._get_websocket().send(msg)
                     msg = self._build_msg(text=text, force=True, context_id=self._context_id)
                     await self._get_websocket().send(msg)
                     await self.start_tts_usage_metrics(text)
@@ -408,13 +403,13 @@ class AsyncAITTSService(AudioContextTTSService):
                         await self._get_websocket().send(msg)
 
             except Exception as e:
-                logger.error(f"{self} error sending message: {e}")
+                yield ErrorFrame(error=f"Unknown error occurred: {e}")
                 yield TTSStoppedFrame()
                 self._started = False
                 return
             yield None
         except Exception as e:
-            logger.error(f"{self} exception: {e}")
+            yield ErrorFrame(error=f"Unknown error occurred: {e}")
 
 
 class AsyncAIHttpTTSService(TTSService):
@@ -526,9 +521,9 @@ class AsyncAIHttpTTSService(TTSService):
         """
         logger.debug(f"{self}: Generating TTS [{text}]")
 
-        first_byte_seen = False
         try:
             voice_config = {"mode": "id", "id": self._voice_id}
+            await self.start_ttfb_metrics()
             payload = {
                 "model_id": self._model_name,
                 "transcript": text,
@@ -536,6 +531,7 @@ class AsyncAIHttpTTSService(TTSService):
                 "output_format": self._settings["output_format"],
                 "language": self._settings["language"],
             }
+            yield TTSStartedFrame()
             headers = {
                 "version": self._api_version,
                 "x-api-key": self._api_key,
@@ -543,8 +539,6 @@ class AsyncAIHttpTTSService(TTSService):
             }
             url = f"{self._base_url}/text_to_speech/streaming"
 
-            yield TTSStartedFrame()
-            await self.start_ttfb_metrics()
             async with self._session.post(url, json=payload, headers=headers) as response:
                 if response.status != 200:
                     error_text = await response.text()
@@ -556,23 +550,22 @@ class AsyncAIHttpTTSService(TTSService):
                 async for chunk in response.content.iter_chunked(64 * 1024):
                     if not chunk:
                         continue
-                    if not first_byte_seen:
+                    await self.stop_ttfb_metrics()
-                        first_byte_seen = True
-                        await self.stop_ttfb_metrics()
-                        await self.start_tts_usage_metrics(text)
-
                     buffer.extend(chunk)
                 audio_data = bytes(buffer)
 
-            yield TTSAudioRawFrame(
+            await self.start_tts_usage_metrics(text)
+
+            frame = TTSAudioRawFrame(
                 audio=audio_data,
                 sample_rate=self.sample_rate,
                 num_channels=1,
             )
 
+            yield frame
+
         except Exception as e:
             await self.push_error(error_msg=f"Unknown error occurred: {e}", exception=e)
         finally:
-            if not first_byte_seen:
+            await self.stop_ttfb_metrics()
-                await self.stop_ttfb_metrics()
             yield TTSStoppedFrame()