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Port Enhancements from EA #472
Port Enhancements from EA #472
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WalkthroughThe pull request introduces enhancements across multiple classes related to audio processing. The Changes
Possibly related PRs
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Actionable comments posted: 12
🧹 Outside diff range and nitpick comments (7)
deepgram/clients/common/v1/abstract_sync_websocket.py (1)
448-451
: Approved: Improved error handling in thread loggingThe changes enhance the robustness of the logging mechanism by adding null checks for the
thread
object and itsname
attribute. This prevents potentialAttributeError
exceptions and improves the overall reliability of the SDK.Consider using a more descriptive message for the unknown thread name case:
- self._logger.debug("after running thread: unknown_thread_name") + self._logger.debug("after running thread: thread or thread name is None")This change would provide more precise information about why the thread name is unknown.
deepgram/clients/common/v1/abstract_async_websocket.py (1)
451-454
: Approve changes with a minor suggestion for consistency.The added null checks for
thread
andthread.name
improve the robustness of the logging mechanism, preventing potentialAttributeError
exceptions. This is a good defensive programming practice, especially in a library or SDK context.For consistency with the error logging throughout the rest of the file, consider using
self._logger.debug()
instead of directly accessingself._logger.debug
. This minor change would align with the logging style used elsewhere in the class.Here's a suggested modification:
if thread is not None and thread.name is not None: - self._logger.debug("after running thread: %s", thread.name) + self._logger.debug("after running thread: %s", thread.name) else: - self._logger.debug("after running thread: unknown_thread_name") + self._logger.debug("after running thread: unknown_thread_name")This change is optional and doesn't affect functionality, but it maintains consistency with the logging style used throughout the rest of the class.
examples/text-to-speech/websocket/simple/main.py (1)
43-49
: Update the message to reflect the current configuration.The message in
on_binary_data
suggests settingspeaker_playback
totrue
, but this option is already set in yourDeepgramClientOptions
at lines 28-29. This could confuse users reviewing the example.Consider updating or removing the message to accurately reflect the current configuration:
print("Received binary data") print("You can do something with the binary data here") print("OR") - print( - "If you want to simply play the audio, set speaker_playback to true in the options for DeepgramClientOptions" - ) + print("Ensure that 'speaker_playback' is configured correctly in DeepgramClientOptions.")deepgram/audio/speaker/speaker.py (1)
357-371
: Implement microphone mute/unmute logic during playbackThe added code in the
_play
method correctly manages the microphone's mute state based on audio playback. It unmutes the microphone after a period of silence exceeding_last_play_delta_in_ms
milliseconds and mutes it when new audio data is detected. This ensures that the microphone is not capturing audio while playback is occurring.Consider adding inline comments to explain the logic steps for better readability and future maintenance.
examples/text-to-speech/websocket/output_to_wav/main.py (3)
23-29
: Remove commented-out code for clarityThe commented-out code from lines 23 to 28 may no longer be needed. Removing unnecessary code can improve readability and maintainability.
38-38
: Limit console output inon_binary_data
The
print("Received binary data")
statement insideon_binary_data
may generate excessive console output, especially if the data stream is large. Consider removing this print statement or using a logging mechanism with an appropriate log level.
76-76
: Re-evaluate the necessity oftime.sleep(7)
The
time.sleep(7)
introduces a delay before prompting the user to press Enter. Consider whether this delay is needed, asinput()
will wait for the user's action.
📜 Review details
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📒 Files selected for processing (8)
- deepgram/audio/microphone/microphone.py (4 hunks)
- deepgram/audio/speaker/speaker.py (9 hunks)
- deepgram/clients/common/v1/abstract_async_websocket.py (1 hunks)
- deepgram/clients/common/v1/abstract_sync_websocket.py (1 hunks)
- deepgram/clients/speak/v1/websocket/async_client.py (5 hunks)
- deepgram/clients/speak/v1/websocket/client.py (5 hunks)
- examples/text-to-speech/websocket/output_to_wav/main.py (4 hunks)
- examples/text-to-speech/websocket/simple/main.py (4 hunks)
🧰 Additional context used
🔇 Additional comments (21)
examples/text-to-speech/websocket/simple/main.py (1)
63-71
: Great addition of event handlers for warnings and errors.Adding
on_warning
,on_error
, andon_unhandled
event handlers enhances the robustness of your application by allowing it to gracefully handle unexpected situations and provide meaningful feedback.deepgram/audio/microphone/microphone.py (6)
25-26
: Appropriate use ofOptional
typing for_audio
and_stream
The addition of
Optional
typing and initializing_audio
and_stream
toNone
enhances clarity about their initialization state and potential absence.
148-158
: Proper check before opening the streamThe condition
if self._audio is not None:
ensures that_audio.open()
is only called when_audio
is properly initialized, preventing potentialAttributeError
s.
160-163
: Error handling when_stream
isNone
Adding a check for
self._stream is None
with appropriate error logging and returningFalse
improves robustness by handling cases where the stream could not be created.
166-167
: Conditional start of the streamStarting the stream only if
self._stream
is notNone
prevents exceptions and ensures that the code doesn't attempt to start a non-existent stream.
180-184
: Enhanced logging inmute
methodAdding verbose logging at the entry and exit of the
mute
method improves traceability and aids in debugging.
262-267
: Proper resource cleanup infinish
methodSetting
_stream
and_asyncio_thread
toNone
after stopping ensures resources are properly released and prevents potential issues with lingering references.deepgram/audio/speaker/speaker.py (7)
18-19
: Import statement for Microphone module is correctly addedThe import statement
from ..microphone import Microphone
is appropriate and necessary for integrating with theMicrophone
class.
61-62
: Adding_microphone
attribute to manage microphone stateThe addition of the
_microphone
attribute of typeOptional[Microphone]
allows theSpeaker
class to interact with theMicrophone
, enabling coordination between audio playback and microphone mute status.
88-89
: Initialize_microphone
attribute in constructorThe assignment
self._microphone = microphone
correctly initializes the_microphone
attribute with the provided microphone instance, enabling the speaker to control the microphone's mute state.
153-163
: Add check forself._audio
before opening audio streamThe added condition
if self._audio is not None:
ensures that the audio stream is only opened if thePyAudio
instance exists. This prevents potentialAttributeError
exceptions ifself._audio
isNone
.
164-167
: Add error handling for failed stream initializationThe check
if self._stream is None:
properly handles cases where the audio stream could not be created, logging an error message and returningFalse
to indicate the failure.
179-180
: Ensureself._stream
exists before startingBy verifying
if self._stream is not None:
before callingself._stream.start_stream()
, you prevent possible exceptions that could occur if the stream was not successfully created.
330-344
: Enhance resource cleanup infinish
methodThe updates to the
finish
method ensure that threads (_thread
and_receiver_thread
) are properly joined, and resources like the audio queue and streams are cleared and set toNone
. This improves resource management and prevents potential threading issues or memory leaks.deepgram/clients/speak/v1/websocket/client.py (6)
67-69
: Introduction of New Instance Variables for Speaker and MicrophoneNew instance variables
_speaker_created: bool = False
,_speaker: Optional[Speaker] = None
, and_microphone: Optional[Microphone] = None
have been added to manage the state of the speaker and microphone within theSpeakWSClient
class. This enhancement is well-implemented and logically sound.
71-73
: Addition of Optional 'microphone' Parameter to ConstructorThe
__init__
method now includes an optionalmicrophone
parameter with a default value ofNone
. This change maintains backward compatibility while allowing users to provide aMicrophone
instance when needed.
91-93
: Assignment of Microphone Instance VariableThe
self._microphone
variable is correctly assigned from the constructor parameter. This ensures that theMicrophone
instance is available throughout the class for any microphone-related functionality.
118-119
: Setting '_speaker_created' Flag After Speaker InitializationThe
_speaker_created
flag is set toTrue
after initializing theSpeaker
. This flag effectively tracks the initialization state of the speaker, which is important for proper resource management during the lifecycle of theSpeakWSClient
.
127-127
: Passing 'microphone' to Speaker InitializationThe
self._microphone
instance is passed to theSpeaker
during initialization at lines 127 and 135. This integration allows theSpeaker
to interact with theMicrophone
, enabling features such as automatic microphone muting during playback.Also applies to: 135-135
639-642
:⚠️ Potential issueAvoid Redundant Calls to 'self._speaker.finish()'
In the
finish
method,self._speaker.finish()
is called within theif
block whenself._speaker_created
isTrue
(lines 639-641). Later in the same method,self._speaker.finish()
is called again unconditionally during the cleanup process. This could result infinish()
being called twice on the sameSpeaker
instance, which may cause errors iffinish()
is not idempotent.Consider modifying the code to ensure that
self._speaker.finish()
is only called once. Here's a possible fix:if self._speaker is not None and self._speaker_created: self._speaker.finish() self._speaker_created = False # Remove the redundant call to self._speaker.finish() below - self._speaker.finish() self._speaker = None self._logger.notice("speaker stopped")This change prevents potential errors by ensuring that
finish()
is called only once on theSpeaker
instance.Likely invalid or redundant comment.
examples/text-to-speech/websocket/output_to_wav/main.py (1)
7-7
: LGTM!The import of the
wave
module is necessary for handling WAV file operations.
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Actionable comments posted: 5
🧹 Outside diff range and nitpick comments (17)
examples/text-to-speech/websocket/output_to_wav/main.py (3)
23-29
: LGTM: Simplified client setupThe removal of commented-out configuration code and the simplified
DeepgramClient
instantiation improve the clarity of the example. This change makes it easier for users to understand the basic setup.Consider adding a brief comment explaining why the default configuration is used, to provide context for users who might be looking for more advanced setups.
50-56
: LGTM: WAV header generationThe addition of WAV header generation is crucial for creating a valid audio file. The code correctly sets the audio parameters using the
wave
module.Consider adding a brief comment explaining why we're generating the header separately, to provide context for users who might be unfamiliar with audio file formats.
76-76
: LGTM: Improved connection handlingThe addition of a sleep timer before closing the connection is a good approach to ensure the audio generation completes. This change, along with the removal of the
wait_for_complete
method, simplifies the example.Consider adding a brief comment explaining the purpose of the sleep timer, to help users understand why this delay is necessary.
examples/speech-to-text/websocket/replay/main.py (1)
5-16
: Remove unused imports to improve code clarity.The following imported modules are not used in the visible code:
httpx
(line 5)logging
(line 7)threading
(line 9)Consider removing these imports if they are not used elsewhere in the file or in imported modules.
Also applies to: 18-18
examples/text-to-speech/websocket/simple/main.py (3)
25-32
: LGTM: Configuration updates enhance example usability.The addition of the 'speaker_playback' option and simplification of logging improve the example. However, consider adding a comment explaining the empty string in the DeepgramClient initialization, e.g.:
# Replace empty string with your Deepgram API key in a real application deepgram: DeepgramClient = DeepgramClient("", config)This would provide clarity for users adapting this example for their own use.
51-58
: LGTM: New event handlers improve example comprehensiveness.The addition of
on_metadata
,on_flush
, andon_clear
event handlers enhances the example's coverage of Deepgram SDK capabilities. For consistency, consider adding a brief comment above each handler explaining its purpose, similar to other handlers in the file.
96-96
: LGTM: Improved connection management with wait_for_complete().The replacement of the sleep function with
wait_for_complete()
is a significant improvement, providing a more robust way to ensure the operation has finished. Consider adding a brief comment explaining the purpose ofwait_for_complete()
for users who might be unfamiliar with its functionality.Also applies to: 101-102
deepgram/audio/microphone/microphone.py (2)
148-163
: LGTM: Improved error handling instart
methodThe additional checks for
self._audio
andself._stream
being None improve the robustness of thestart
method. The error logging for stream creation failure is also a good practice.Consider adding a log message when
self._audio
is None:if self._audio is not None: self._stream = self._audio.open( # ... (existing parameters) ) +else: + self._logger.error("start failed. Audio interface not initialized.")This would provide more specific information about why the stream creation failed.
213-235
: LGTM: Addedis_muted
method, but consider clarifying documentationThe addition of the
is_muted
method is a good improvement, providing a way to check the mute state of the microphone.Consider clarifying the documentation to explicitly state the behavior when the stream is None:
def is_muted(self) -> bool: """ is_muted - returns the state of the stream Args: None Returns: - True if the stream is muted, False otherwise + True if the stream is muted, False if the stream is unmuted or not initialized """This would make the method's behavior more explicit and help prevent potential confusion for users of the class.
deepgram/clients/common/v1/abstract_sync_rest.py (1)
228-234
: Approve changes with a minor suggestion for consistency.The new error handling for None responses is a good addition that improves the robustness of the
_handle_request
method. It prevents potential NoneType exceptions and provides a clear, actionable error message to the user.For consistency with the rest of the codebase, consider using a multi-line string for the error message. Here's a suggested minor improvement:
if response is None or response.text is None: raise DeepgramError( - "Response is not available yet. Please try again later." + """ + Response is not available yet. Please try again later. + """ )This change maintains consistency with other multi-line strings used in error messages throughout the SDK.
deepgram/clients/common/v1/abstract_async_rest.py (1)
232-237
: Improved error handling for None responses. Consider adding logging.The addition of this check for None responses is a good improvement to the error handling. It prevents potential NoneType exceptions and provides a clear error message.
Consider adding a debug log before raising the exception. This could help with troubleshooting in the future. For example:
import logging # ... (existing code) if response is None or response.text is None: logging.debug("Received None response or response text") raise DeepgramError( "Response is not available yet. Please try again later." )This logging could provide valuable context for debugging without changing the behavior of the code.
deepgram/audio/speaker/speaker.py (2)
73-73
: Update docstring for new microphone parameterThe
microphone
parameter has been correctly added to the__init__
method with the appropriate type. However, the method's docstring should be updated to include documentation for this new parameter.Please update the docstring to include:
microphone (Optional[Microphone], optional): The microphone instance to control its mute state during playback.
359-373
: LGTM: Enhanced microphone control in _play methodThe additions to the
_play
method provide sophisticated microphone control during playback:
- It correctly handles cases where no microphone is associated.
- The muting/unmuting logic based on sound detection and time thresholds is well-implemented.
These changes significantly improve the speaker's functionality with regard to microphone management.
Consider the performance impact of frequent debug logging in a production environment. You might want to add a flag to enable/disable detailed logging or use a more performant logging method for these frequent operations.
deepgram/clients/speak/v1/websocket/client.py (2)
67-69
: LGTM: New instance variables for audio support.The new instance variables
_speaker_created
,_speaker
, and_microphone
are appropriate for managing the new audio functionality.Consider adding a comment explaining the purpose of the
_speaker_created
flag for better code readability.
118-119
: LGTM: Speaker creation and cleanup logic.The changes for speaker creation and cleanup are well-implemented:
- Setting the
_speaker_created
flag ensures proper tracking of speaker initialization.- Passing the microphone to the Speaker constructor allows for integration between components.
- The cleanup logic in the
finish
method correctly uses the_speaker_created
flag.Consider adding error handling for the speaker initialization. For example:
try: self._speaker = Speaker( # ... existing parameters ... microphone=self._microphone, ) self._speaker_created = True except Exception as e: self._logger.error(f"Failed to initialize speaker: {e}") self._speaker_created = FalseThis would provide more robust error handling and logging if speaker initialization fails.
Also applies to: 127-127, 135-135, 639-642
deepgram/clients/speak/v1/websocket/async_client.py (2)
70-72
: LGTM! Constructor updated for microphone support.The constructor has been updated to accept an optional
microphone
parameter and initialize the_microphone
attribute. The_speaker
initialization now includes themicrophone
parameter, enabling the new feature of automatic microphone muting by the speaker.Consider updating the constructor's docstring to include information about the new
microphone
parameter:def __init__( self, config: DeepgramClientOptions, microphone: Optional[Microphone] = None ): """ Initialize the AsyncSpeakWSClient. Args: config (DeepgramClientOptions): All the options for the client. microphone (Optional[Microphone]): An optional Microphone instance to be used by the client. """ # ... rest of the methodAlso applies to: 88-90, 124-124, 132-132
Line range hint
1-738
: Overall, excellent implementation of new audio features!The changes in this file successfully implement the new features described in the PR objectives:
- Support for an optional microphone instance.
- Integration of microphone control with the speaker.
- Proper cleanup of audio resources.
These enhancements improve the SDK's functionality for real-time text-to-speech synthesis and audio processing. The code is well-structured and maintains consistency with the existing implementation.
Consider adding unit tests to verify the new microphone and speaker integration, especially focusing on the automatic muting feature and proper resource cleanup.
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
⛔ Files ignored due to path filters (1)
examples/speech-to-text/websocket/replay/microsoft_headquarters.wav
is excluded by!**/*.wav
📒 Files selected for processing (13)
- deepgram/audio/microphone/microphone.py (4 hunks)
- deepgram/audio/speaker/speaker.py (9 hunks)
- deepgram/clients/common/v1/abstract_async_rest.py (1 hunks)
- deepgram/clients/common/v1/abstract_async_websocket.py (3 hunks)
- deepgram/clients/common/v1/abstract_sync_rest.py (1 hunks)
- deepgram/clients/common/v1/abstract_sync_websocket.py (3 hunks)
- deepgram/clients/listen/v1/helpers.py (0 hunks)
- deepgram/clients/speak/v1/websocket/async_client.py (5 hunks)
- deepgram/clients/speak/v1/websocket/client.py (5 hunks)
- deepgram/clients/speak/v1/websocket/helpers.py (0 hunks)
- examples/speech-to-text/websocket/replay/main.py (1 hunks)
- examples/text-to-speech/websocket/output_to_wav/main.py (4 hunks)
- examples/text-to-speech/websocket/simple/main.py (4 hunks)
💤 Files with no reviewable changes (2)
- deepgram/clients/listen/v1/helpers.py
- deepgram/clients/speak/v1/websocket/helpers.py
🚧 Files skipped from review as they are similar to previous changes (2)
- deepgram/clients/common/v1/abstract_async_websocket.py
- deepgram/clients/common/v1/abstract_sync_websocket.py
🧰 Additional context used
📓 Learnings (3)
deepgram/audio/microphone/microphone.py (1)
Learnt from: dvonthenen PR: deepgram/deepgram-python-sdk#472 File: deepgram/audio/microphone/microphone.py:274-301 Timestamp: 2024-10-18T00:26:54.280Z Learning: In the `deepgram/audio/microphone/microphone.py` file, within the `Microphone` class's `_callback` method, re-raising exceptions is intended behavior.
deepgram/clients/speak/v1/websocket/async_client.py (1)
Learnt from: dvonthenen PR: deepgram/deepgram-python-sdk#472 File: deepgram/clients/speak/v1/websocket/async_client.py:643-646 Timestamp: 2024-10-18T00:29:32.961Z Learning: In `deepgram/clients/speak/v1/websocket/async_client.py`, the double call to `self._speaker.finish()` in the `finish` method of the `AsyncSpeakWSClient` class is intentional and required for proper cleanup.
examples/text-to-speech/websocket/output_to_wav/main.py (2)
Learnt from: dvonthenen PR: deepgram/deepgram-python-sdk#472 File: examples/text-to-speech/websocket/output_to_wav/main.py:16-17 Timestamp: 2024-10-18T00:30:20.224Z Learning: In `examples/text-to-speech/websocket/output_to_wav/main.py`, the hardcoded values for `AUDIO_FILE` and `TTS_TEXT` are intentional and should remain as is.
Learnt from: dvonthenen PR: deepgram/deepgram-python-sdk#472 File: examples/text-to-speech/websocket/output_to_wav/main.py:38-41 Timestamp: 2024-10-18T00:30:01.884Z Learning: In the `examples/text-to-speech/websocket/output_to_wav/main.py` file, the code is intended as a simple example, and additional error handling for file operations is not required.
🔇 Additional comments (24)
examples/text-to-speech/websocket/output_to_wav/main.py (2)
7-7
: LGTM: Import and constant updatesThe addition of the
wave
module import and the newAUDIO_FILE
constant, along with the updatedTTS_TEXT
, are appropriate changes that support the enhanced functionality of the script.Also applies to: 16-17
38-41
: LGTM: Streamlined audio data handlingThe updated
on_binary_data
function efficiently writes the received audio data to the file. The use of awith
statement ensures proper file handling, which is a good practice.examples/speech-to-text/websocket/replay/main.py (1)
1-100
: Overall assessment: Good implementation with room for improvements.This example script effectively demonstrates the usage of the Deepgram SDK for live transcription via websocket. It covers the essential steps: client initialization, websocket connection setup, event handling, and audio data processing.
Key strengths:
- Clear structure and flow of operations.
- Proper use of the Deepgram SDK's features.
- Event-driven architecture for handling websocket events.
Areas for improvement:
- Enhanced error handling, particularly for connection initialization and file I/O.
- More robust API key management.
- Removal of unused imports.
- Potential for adding retry mechanisms for increased reliability.
Implementing the suggested changes will result in a more robust and maintainable example that better showcases best practices in using the Deepgram SDK.
examples/text-to-speech/websocket/simple/main.py (5)
7-7
: LGTM: Changes enhance example clarity.The shorter
TTS_TEXT
is more suitable for a simple example. The introduction ofwarning_notice
as a global variable, while generally discouraged in production code, is acceptable in this context as it simplifies the example's flow. These changes align with the intended functionality of the example.Also applies to: 16-19
41-50
: LGTM: Enhanced binary data handling explanation.The updated
on_binary_data
function now provides clear, informative messages about binary data handling options. This improves the educational value of the example, helping users understand the implications of the 'speaker_playback' option.
63-70
: LGTM: Additional event handlers improve error handling demonstration.The new
on_warning
,on_error
, andon_unhandled
event handlers provide a comprehensive demonstration of error and edge case handling in the Deepgram SDK. This addition enhances the educational value of the example.
74-80
: LGTM: Comprehensive event registration enhances example.The addition of event registrations for metadata, flushing, clearing, warnings, errors, and unhandled events provides a complete demonstration of the Deepgram SDK's event handling capabilities. This comprehensive approach will be valuable for users learning to work with the SDK.
Line range hint
1-120
: Overall: Excellent enhancements to the example file.This update significantly improves the
main.py
example by:
- Introducing comprehensive event handling (metadata, flushing, clearing, warnings, errors).
- Improving connection management with
wait_for_complete()
.- Enhancing the educational value through informative print statements.
- Simplifying the example for better clarity.
These changes align well with the PR objectives and provide a more robust demonstration of the Deepgram SDK's capabilities. The example now offers a more complete picture of working with the SDK, which will be valuable for users.
Great job on these enhancements!
deepgram/audio/microphone/microphone.py (5)
25-26
: LGTM: Improved type annotations for_audio
and_stream
The use of
Optional
types for_audio
and_stream
attributes is a good practice. It clearly indicates that these attributes can beNone
, which improves type safety and makes the code more self-documenting.
166-167
: LGTM: Added null check before starting streamThe additional check to ensure
self._stream
is not None before callingstart_stream()
is a good defensive programming practice. It prevents potential null pointer exceptions and improves the overall robustness of the code.
180-180
: LGTM: Refined log levels for better granularityThe change from
debug
toverbose
log levels in themute
andunmute
methods is a good improvement. It allows for more granular control over logging output and is consistent with the use of theverboselogs
library. This change will help in debugging and monitoring the application's behavior more effectively.Also applies to: 184-184, 190-190, 200-200, 204-204, 210-210
262-267
: LGTM: Improved cleanup infinish
methodThe updates to the asyncio loop stopping process and the addition of setting
_stream
and_asyncio_thread
to None after cleanup are good improvements. These changes ensure a more thorough cleanup process and help prevent accidental use of closed resources.
274-301
: LGTM: Added_callback
method for stream processingThe addition of the
_callback
method is a good implementation for handling stream data processing. It correctly handles the muting functionality and properly manages the stream state.The exception handling, including re-raising exceptions, aligns with the intended behavior as per previous discussions. This approach allows for proper error propagation while ensuring errors are logged.
deepgram/clients/common/v1/abstract_sync_rest.py (1)
Line range hint
1-390
: Overall assessment: Changes improve error handling and align with PR objectives.The modifications to the
_handle_request
method enhance the robustness of theAbstractSyncRestClient
class by adding a check for None responses. This change aligns well with the PR objectives of improving the SDK's functionality and is a valuable addition to the error handling mechanism.The rest of the file remains unchanged, maintaining its existing functionality for making various types of HTTP requests. The new error handling integrates seamlessly with the existing code structure.
deepgram/audio/speaker/speaker.py (4)
18-18
: LGTM: Import statement for MicrophoneThe import statement for
Microphone
is correctly placed and necessary for the new microphone control functionality.
61-61
: LGTM: Addition of _microphone attributeThe
_microphone
attribute is correctly typed asOptional[Microphone]
and initialized toNone
. This is appropriate for the new optional microphone control functionality.
88-88
: LGTM: Initialization of _microphone attributeThe
_microphone
attribute is correctly initialized with themicrophone
parameter passed to the__init__
method.
153-167
: LGTM: Improved robustness in start methodThe changes to the
start
method enhance its robustness:
- The new checks for
self._audio
andself._stream
prevent potential errors.- Moving the stream start inside a check for
self._stream
ensures it's only called when a stream exists.These modifications improve the method's error handling and reliability.
Also applies to: 179-180
deepgram/clients/speak/v1/websocket/client.py (4)
30-31
: LGTM: New imports for audio functionality.The new imports for
Microphone
,Speaker
, and related constants are appropriate for the added audio functionality.
71-73
: LGTM: Constructor updated for microphone support.The addition of the optional
microphone
parameter to the constructor aligns with the PR objectives and allows for flexible microphone integration.
91-93
: LGTM: Microphone initialization.The initialization of the
_microphone
instance variable with the provided microphone is correct and straightforward.
Line range hint
1-672
: Overall assessment: Changes successfully implement microphone and speaker integration.The modifications to the
SpeakWSClient
class effectively implement the required functionality for microphone support and speaker integration. Key points:
- New imports and instance variables are correctly added.
- The constructor is updated to accept an optional microphone parameter.
- Speaker creation and cleanup logic is well-implemented.
- The changes align with the PR objectives of backporting enhancements from the Agent EA work.
The code is generally well-structured and follows good practices. Minor suggestions for improvement have been made in previous comments.
deepgram/clients/speak/v1/websocket/async_client.py (2)
30-32
: LGTM! New imports and attributes for audio functionality.The new imports and class attributes (
_speaker_created
,_speaker
, and_microphone
) align with the PR objectives of adding microphone and speaker functionality to the SDK. These changes provide the necessary foundation for implementing the new features.Also applies to: 66-69
643-646
: LGTM! Proper cleanup of speaker instance.The addition of this block ensures that the speaker instance is properly finished and reset when the client is done. The double call to
self._speaker.finish()
is intentional:
- The first call (line 644) is specific to speaker cleanup.
- The second call (in the existing code) is part of the general cleanup process.
This approach ensures thorough cleanup of the speaker resources.
Proposed changes
This ports enhancements from the Agent EA work that is happening. Since that work will probably take some time to get to GA, backporting the things I can.
Changes:
is_muted
call on the Microphonewait_for_complete_with_mute
call on the SpeakerTypes of changes
What types of changes does your code introduce to the community Python SDK?
Put an
x
in the boxes that applyChecklist
Put an
x
in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your code.Further comments
NA
Summary by CodeRabbit
New Features
Bug Fixes
Documentation