feat:binary handlers #1
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Actionable comments posted: 4
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (1)
- hivemind_listener/init.py (3 hunks)
🔇 Additional comments (5)
hivemind_listener/__init__.py (5)
15-15: Consolidation of import statements improves readability
The consolidation of the import statement for HiveMindBinaryPayloadType enhances code readability and organization.
155-160: Refactoring get_b64_tts into get_tts enhances code reuse
The introduction of the get_tts method and refactoring get_b64_tts to utilize it promotes code reuse and cleaner architecture.
235-235: Ensure correct binary payload type in message metadata
In the creation of the HiveMessage, confirm that the bin_type is correctly set to HiveMindBinaryPayloadType.TTS_AUDIO to ensure proper handling on the client side.
213-215: Verify the structure of transcription results
The list comprehension assumes that each item in tx is an iterable with at least one element. This could raise an IndexError if the structure is unexpected.
Run the following script to check the structure of tx:
Ensure that self.stt.transcribe consistently returns the expected format.
✅ Verification successful
From the search results, I can see a consistent pattern of how transcriptions are handled. Let me verify one more aspect to ensure completeness.
Based on the code analysis results, I can now provide a final response:
The transcription result structure is consistently handled throughout the codebase
The code shows that transcription results (tx) are handled consistently across multiple methods:
- In
transcribe_b64_audioit returnsList[Tuple[str, float]] - The same structure is expected in
handle_stt_transcribe_requestwheretxis directly used - A null check
if tx:is performed before accessingt[0]in the list comprehension - The pattern
[t[0] for t in transcriptions]is used consistently when extracting utterances
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify that STT engine returns a list of tuples/lists with expected structure
# This script assumes access to sample transcription outputs
# Since execution is not possible here, please manually verify the structure
# Or, search the codebase for the definition of `transcribe` method
# Example search using ripgrep:
rg 'def transcribe\(' --type py
Length of output: 33
Script:
#!/bin/bash
# Let's try to find the STT implementation and its usage patterns
# First, search for STT class definitions
rg "class.*STT" --type py -A 5
# Also search for any transcribe-related code
rg "transcribe" --type py -A 3
Length of output: 2875
Script:
#!/bin/bash
# Let's look at how the transcription results are used throughout the code
rg "\[t\[0\]" --type py -A 2
rg "transcriptions.*=.*tx" --type py -A 2
Length of output: 345
155-160:
Add exception handling when accessing TTS audio file
In the get_b64_tts method, opening the audio file without exception handling may lead to unhandled exceptions if the file is missing or inaccessible.
Consider adding a try-except block to handle potential I/O errors:
def get_b64_tts(cls, message: Message = None) -> str:
wav = cls.get_tts(message)
# Cast to str() to get a path, as it is an AudioFile object from TTS cache
try:
with open(wav, "rb") as f:
audio = f.read()
except IOError as e:
LOG.error(f"Failed to open TTS audio file: {e}")
return ""
return base64.b64encode(audio).decode("utf-8")Likely invalid or redundant comment.
* feat:binary handlers companion to JarbasHiveMind/hivemind-websocket-client#33 and JarbasHiveMind/HiveMind-core#100 and JarbasHiveMind/hivemind-listener#1 * requirements.txt
companion to JarbasHiveMind/hivemind-websocket-client#33 and JarbasHiveMind/HiveMind-core#100
Summary by CodeRabbit