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missing no longer necessary to call super().process_frame(frame, direction)

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This commit is contained in:
Aleix Conchillo Flaqué
2024-12-12 14:53:56 -08:00
parent 3f3a853d71
commit 06043ce9b1
16 changed files with 0 additions and 53 deletions
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10
src/pipecat/services/ai_services.py
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@@ -292,8 +292,6 @@ class TTSService(AIService):
await self.queue_frame(TTSSpeakFrame(text))
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, TextFrame):
await self._process_text_frame(frame)
elif isinstance(frame, StartInterruptionFrame):
@@ -410,8 +408,6 @@ class WordTTSService(TTSService):
await self._stop_words_task()
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, (LLMFullResponseEndFrame, EndFrame)):
await self.flush_audio()
@@ -498,8 +494,6 @@ class STTService(AIService):
async def process_frame(self, frame: Frame, direction: FrameDirection):
"""Processes a frame of audio data, either buffering or transcribing it."""
await super().process_frame(frame, direction)
if isinstance(frame, AudioRawFrame):
# In this service we accumulate audio internally and at the end we
# push a TextFrame. We also push audio downstream in case someone
@@ -597,8 +591,6 @@ class ImageGenService(AIService):
pass
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, TextFrame):
await self.push_frame(frame, direction)
await self.start_processing_metrics()
@@ -620,8 +612,6 @@ class VisionService(AIService):
pass
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, VisionImageRawFrame):
await self.start_processing_metrics()
await self.process_generator(self.run_vision(frame))

4
src/pipecat/services/anthropic.py
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@@ -270,8 +270,6 @@ class AnthropicLLMService(LLMService):
)
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
context = None
if isinstance(frame, OpenAILLMContextFrame):
context: "AnthropicLLMContext" = AnthropicLLMContext.upgrade_to_anthropic(frame.context)
@@ -611,7 +609,6 @@ class AnthropicUserContextAggregator(LLMUserContextAggregator):
self._context = AnthropicLLMContext.from_openai_context(context)
async def process_frame(self, frame, direction):
await super().process_frame(frame, direction)
# Our parent method has already called push_frame(). So we can't interrupt the
# flow here and we don't need to call push_frame() ourselves. Possibly something
# to talk through (tagging @aleix). At some point we might need to refactor these
@@ -664,7 +661,6 @@ class AnthropicAssistantContextAggregator(LLMAssistantContextAggregator):
self._pending_image_frame_message = None
async def process_frame(self, frame, direction):
await super().process_frame(frame, direction)
# See note above about not calling push_frame() here.
if isinstance(frame, StartInterruptionFrame):
self._function_call_in_progress = None

1
src/pipecat/services/canonical.py
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@@ -90,7 +90,6 @@ class CanonicalMetricsService(AIService):
await self._process_audio()
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
await self.push_frame(frame, direction)
async def _process_audio(self):

2
src/pipecat/services/cartesia.py
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@@ -287,8 +287,6 @@ class CartesiaTTSService(WordTTSService):
await self._connect_websocket()
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
# If we received a TTSSpeakFrame and the LLM response included text (it
# might be that it's only a function calling response) we pause
# processing more frames until we receive a BotStoppedSpeakingFrame.

2
src/pipecat/services/elevenlabs.py
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@@ -272,8 +272,6 @@ class ElevenLabsTTSService(WordTTSService):
await self.add_word_timestamps([("LLMFullResponseEndFrame", 0), ("Reset", 0)])
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
# If we received a TTSSpeakFrame and the LLM response included text (it
# might be that it's only a function calling response) we pause
# processing more frames until we receive a BotStoppedSpeakingFrame.

3
src/pipecat/services/gemini_multimodal_live/gemini.py
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@@ -107,7 +107,6 @@ class GeminiMultimodalLiveContext(OpenAILLMContext):
class GeminiMultimodalLiveUserContextAggregator(OpenAIUserContextAggregator):
async def process_frame(self, frame, direction):
await super().process_frame(frame, direction)
# kind of a hack just to pass the LLMMessagesAppendFrame through, but it's fine for now
if isinstance(frame, LLMMessagesAppendFrame):
await self.push_frame(frame, direction)
@@ -305,8 +304,6 @@ class GeminiMultimodalLiveLLMService(LLMService):
#
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
# logger.debug(f"Processing frame: {frame}")
if isinstance(frame, TranscriptionFrame):

2
src/pipecat/services/google.py
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@@ -652,8 +652,6 @@ class GoogleLLMService(LLMService):
await self.push_frame(LLMFullResponseEndFrame())
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
context = None
if isinstance(frame, OpenAILLMContextFrame):

4
src/pipecat/services/openai.py
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@@ -286,8 +286,6 @@ class BaseOpenAILLMService(LLMService):
)
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
context = None
if isinstance(frame, OpenAILLMContextFrame):
context: OpenAILLMContext = frame.context
@@ -475,7 +473,6 @@ class OpenAIUserContextAggregator(LLMUserContextAggregator):
super().__init__(context=context)
async def process_frame(self, frame, direction):
await super().process_frame(frame, direction)
# Our parent method has already called push_frame(). So we can't interrupt the
# flow here and we don't need to call push_frame() ourselves.
try:
@@ -516,7 +513,6 @@ class OpenAIAssistantContextAggregator(LLMAssistantContextAggregator):
self._pending_image_frame_message = None
async def process_frame(self, frame, direction):
await super().process_frame(frame, direction)
# See note above about not calling push_frame() here.
if isinstance(frame, StartInterruptionFrame):
self._function_calls_in_progress.clear()

1
src/pipecat/services/openai_realtime_beta/context.py
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@@ -148,7 +148,6 @@ class OpenAIRealtimeUserContextAggregator(OpenAIUserContextAggregator):
async def process_frame(
self, frame: Frame, direction: FrameDirection = FrameDirection.DOWNSTREAM
):
await super().process_frame(frame, direction)
# Parent does not push LLMMessagesUpdateFrame. This ensures that in a typical pipeline,
# messages are only processed by the user context aggregator, which is generally what we want. But
# we also need to send new messages over the websocket, so the openai realtime API has them

2
src/pipecat/services/openai_realtime_beta/openai.py
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@@ -170,8 +170,6 @@ class OpenAIRealtimeBetaLLMService(LLMService):
#
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, TranscriptionFrame):
pass
elif isinstance(frame, OpenAILLMContextFrame):

2
src/pipecat/services/playht.py
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@@ -265,8 +265,6 @@ class PlayHTTTSService(TTSService):
await self._connect_websocket()
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
# If we received a TTSSpeakFrame and the LLM response included text (it
# might be that it's only a function calling response) we pause
# processing more frames until we receive a BotStoppedSpeakingFrame.

1
src/pipecat/services/tavus.py
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@@ -92,7 +92,6 @@ class TavusVideoService(AIService):
await self._send_audio_message(audio_base64, done=done)
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, TTSStartedFrame):
await self.start_processing_metrics()
await self.start_ttfb_metrics()

2
src/pipecat/transports/network/fastapi_websocket.py
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@@ -101,8 +101,6 @@ class FastAPIWebsocketOutputTransport(BaseOutputTransport):
self._next_send_time = 0
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, StartInterruptionFrame):
await self._write_frame(frame)
self._next_send_time = 0

2
src/pipecat/transports/network/websocket_server.py
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@@ -139,8 +139,6 @@ class WebsocketServerOutputTransport(BaseOutputTransport):
self._websocket = websocket
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, StartInterruptionFrame):
await self._write_frame(frame)
self._next_send_time = 0

2
src/pipecat/transports/services/daily.py
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@@ -727,8 +727,6 @@ class DailyInputTransport(BaseInputTransport):
#
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, UserImageRequestFrame):
await self.request_participant_image(frame.user_id)

13
src/pipecat/transports/services/livekit.py
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@@ -16,7 +16,6 @@ from pipecat.frames.frames import (
AudioRawFrame,
CancelFrame,
EndFrame,
Frame,
InputAudioRawFrame,
OutputAudioRawFrame,
StartFrame,
@@ -334,12 +333,6 @@ class LiveKitInputTransport(BaseInputTransport):
await self._client.disconnect()
logger.info("LiveKitInputTransport stopped")
async def process_frame(self, frame: Frame, direction: FrameDirection):
if isinstance(frame, EndFrame):
await self.stop(frame)
else:
await super().process_frame(frame, direction)
async def cancel(self, frame: CancelFrame):
await super().cancel(frame)
await self._client.disconnect()
@@ -411,12 +404,6 @@ class LiveKitOutputTransport(BaseOutputTransport):
await self._client.disconnect()
logger.info("LiveKitOutputTransport stopped")
async def process_frame(self, frame: Frame, direction: FrameDirection):
if isinstance(frame, EndFrame):
await self.stop(frame)
else:
await super().process_frame(frame, direction)
async def cancel(self, frame: CancelFrame):
await super().cancel(frame)
await self._client.disconnect()