Merge pull request #2697 from pipecat-ai/aleix/frame-processor-before-after-events
FrameProcessor: add before/after events for processed/pushed frames
This commit is contained in:
@@ -9,6 +9,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
|
||||
|
||||
### Added
|
||||
|
||||
- Added `on_before_process_frame`, `on_after_process_frame`,
|
||||
`on_before_push_frame` and `on_after_push_frame`. These are synchronous events
|
||||
that get called before and after a frame is processed or pushed. Note that
|
||||
these events are synchrnous so they should ideally perform lightweight tasks
|
||||
in order to not block the pipeline. See
|
||||
`examples/foundational/45-before-and-after-events.py`.
|
||||
|
||||
- Added `on_before_leave` synchronous event to `DailyTransport`.
|
||||
|
||||
- Added `on_before_disconnect` synchronous event to `LiveKitTransport`.
|
||||
|
||||
150
examples/foundational/45-before-and-after-events.py
Normal file
150
examples/foundational/45-before-and-after-events.py
Normal file
@@ -0,0 +1,150 @@
|
||||
#
|
||||
# Copyright (c) 2024–2025, Daily
|
||||
#
|
||||
# SPDX-License-Identifier: BSD 2-Clause License
|
||||
#
|
||||
|
||||
import os
|
||||
from dataclasses import dataclass
|
||||
|
||||
from dotenv import load_dotenv
|
||||
from loguru import logger
|
||||
|
||||
from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
|
||||
from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
|
||||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.audio.vad.vad_analyzer import VADParams
|
||||
from pipecat.frames.frames import DataFrame, LLMRunFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.runner.types import RunnerArguments
|
||||
from pipecat.runner.utils import create_transport
|
||||
from pipecat.services.cartesia.tts import CartesiaTTSService
|
||||
from pipecat.services.deepgram.stt import DeepgramSTTService
|
||||
from pipecat.services.openai.llm import OpenAILLMService
|
||||
from pipecat.transports.base_transport import BaseTransport, TransportParams
|
||||
from pipecat.transports.daily.transport import DailyParams
|
||||
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
|
||||
|
||||
load_dotenv(override=True)
|
||||
|
||||
|
||||
@dataclass
|
||||
class CustomBeforeProcessFrame(DataFrame):
|
||||
pass
|
||||
|
||||
|
||||
@dataclass
|
||||
class CustomAfterPushFrame(DataFrame):
|
||||
pass
|
||||
|
||||
|
||||
# We store functions so objects (e.g. SileroVADAnalyzer) don't get
|
||||
# instantiated. The function will be called when the desired transport gets
|
||||
# selected.
|
||||
transport_params = {
|
||||
"daily": lambda: DailyParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||
),
|
||||
"twilio": lambda: FastAPIWebsocketParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||
),
|
||||
"webrtc": lambda: TransportParams(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
|
||||
turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams()),
|
||||
),
|
||||
}
|
||||
|
||||
|
||||
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(f"Starting bot")
|
||||
|
||||
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
|
||||
|
||||
tts = CartesiaTTSService(
|
||||
api_key=os.getenv("CARTESIA_API_KEY"),
|
||||
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
|
||||
)
|
||||
|
||||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
|
||||
},
|
||||
]
|
||||
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
pipeline = Pipeline(
|
||||
[
|
||||
transport.input(), # Transport user input
|
||||
stt,
|
||||
context_aggregator.user(), # User responses
|
||||
llm, # LLM
|
||||
tts, # TTS
|
||||
transport.output(), # Transport bot output
|
||||
context_aggregator.assistant(), # Assistant spoken responses
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
enable_usage_metrics=True,
|
||||
),
|
||||
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
|
||||
)
|
||||
|
||||
@transport.output().event_handler("on_before_process_frame")
|
||||
async def transport_on_before_process_frame(transport, frame):
|
||||
if isinstance(frame, CustomBeforeProcessFrame):
|
||||
logger.info("*** CUSTOM FRAME RECEIVED. Bot is about to talk, let's do something!")
|
||||
|
||||
@transport.output().event_handler("on_after_push_frame")
|
||||
async def transport_on_after_push_frame(transport, frame):
|
||||
if isinstance(frame, CustomAfterPushFrame):
|
||||
logger.info("*** CUSTOM FRAME RECEIVED. Bot has stopped talking, let's do something!")
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(transport, client):
|
||||
logger.info(f"Client connected")
|
||||
# Kick off the conversation.
|
||||
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
|
||||
# CustomSynchronizationFrame is pushed in order so it will reach the
|
||||
# `on_after_push_frame` handler before the bot has finished talking.
|
||||
await task.queue_frames([CustomBeforeProcessFrame(), LLMRunFrame(), CustomAfterPushFrame()])
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
"""Main bot entry point compatible with Pipecat Cloud."""
|
||||
transport = await create_transport(runner_args, transport_params)
|
||||
await run_bot(transport, runner_args)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
from pipecat.runner.run import main
|
||||
|
||||
main()
|
||||
@@ -141,6 +141,12 @@ class FrameProcessor(BaseObject):
|
||||
task. System frames are also processed in a separate task which guarantees
|
||||
frame priority.
|
||||
|
||||
Event handlers available:
|
||||
|
||||
- on_before_process_frame: Called before a frame is processed
|
||||
- on_after_process_frame: Called after a frame is processed
|
||||
- on_before_push_frame: Called before a frame is pushed
|
||||
- on_after_push_frame: Called after a frame is pushed
|
||||
"""
|
||||
|
||||
def __init__(
|
||||
@@ -228,6 +234,12 @@ class FrameProcessor(BaseObject):
|
||||
self._wait_for_interruption = False
|
||||
self._wait_interruption_event = asyncio.Event()
|
||||
|
||||
# Frame processor events.
|
||||
self._register_event_handler("on_before_process_frame", sync=True)
|
||||
self._register_event_handler("on_after_process_frame", sync=True)
|
||||
self._register_event_handler("on_before_push_frame", sync=True)
|
||||
self._register_event_handler("on_after_push_frame", sync=True)
|
||||
|
||||
@property
|
||||
def id(self) -> int:
|
||||
"""Get the unique identifier for this processor.
|
||||
@@ -639,8 +651,12 @@ class FrameProcessor(BaseObject):
|
||||
if not self._check_started(frame):
|
||||
return
|
||||
|
||||
await self._call_event_handler("on_before_push_frame", frame)
|
||||
|
||||
await self.__internal_push_frame(frame, direction)
|
||||
|
||||
await self._call_event_handler("on_after_push_frame", frame)
|
||||
|
||||
# If we are waiting for an interruption and we get an interruption, then
|
||||
# we can unblock `push_interruption_task_frame_and_wait()`.
|
||||
if self._wait_for_interruption and isinstance(frame, InterruptionFrame):
|
||||
@@ -836,11 +852,15 @@ class FrameProcessor(BaseObject):
|
||||
self, frame: Frame, direction: FrameDirection, callback: Optional[FrameCallback]
|
||||
):
|
||||
try:
|
||||
await self._call_event_handler("on_before_process_frame", frame)
|
||||
|
||||
# Process the frame.
|
||||
await self.process_frame(frame, direction)
|
||||
# If this frame has an associated callback, call it now.
|
||||
if callback:
|
||||
await callback(self, frame, direction)
|
||||
|
||||
await self._call_event_handler("on_after_process_frame", frame)
|
||||
except Exception as e:
|
||||
logger.exception(f"{self}: error processing frame: {e}")
|
||||
await self.push_error(ErrorFrame(str(e)))
|
||||
|
||||
@@ -15,11 +15,56 @@ from pipecat.frames.frames import (
|
||||
TransportMessageUrgentFrame,
|
||||
)
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.processors.filters.identity_filter import IdentityFilter
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.tests.utils import SleepFrame, run_test
|
||||
|
||||
|
||||
class TestFrameProcessor(unittest.IsolatedAsyncioTestCase):
|
||||
async def test_before_after_events(self):
|
||||
identity = IdentityFilter()
|
||||
|
||||
before_process_called = False
|
||||
after_process_called = False
|
||||
before_push_called = False
|
||||
after_push_called = False
|
||||
|
||||
@identity.event_handler("on_before_process_frame")
|
||||
async def on_before_process_frame(filter, frame):
|
||||
nonlocal before_process_called
|
||||
before_process_called = True
|
||||
|
||||
@identity.event_handler("on_after_process_frame")
|
||||
async def on_after_process_frame(filter, frame):
|
||||
nonlocal after_process_called
|
||||
after_process_called = True
|
||||
|
||||
@identity.event_handler("on_before_push_frame")
|
||||
async def on_before_push_frame(filter, frame):
|
||||
nonlocal before_push_called
|
||||
before_push_called = True
|
||||
|
||||
@identity.event_handler("on_after_push_frame")
|
||||
async def on_after_push_frame(filter, frame):
|
||||
nonlocal after_push_called
|
||||
after_push_called = True
|
||||
|
||||
pipeline = Pipeline([identity])
|
||||
|
||||
frames_to_send = [TextFrame(text="Hello cat!")]
|
||||
|
||||
expected_down_frames = [TextFrame]
|
||||
|
||||
await run_test(
|
||||
pipeline,
|
||||
frames_to_send=frames_to_send,
|
||||
expected_down_frames=expected_down_frames,
|
||||
)
|
||||
assert before_process_called
|
||||
assert after_process_called
|
||||
assert before_push_called
|
||||
assert after_push_called
|
||||
|
||||
async def test_interruption_and_wait(self):
|
||||
class DelayFrameProcessor(FrameProcessor):
|
||||
"""This processors just gives time to the event loop to change
|
||||
|
||||
Reference in New Issue
Block a user