performance: speed up b64 operations

[JarbasAl]

closes #16

some quick test logs in my laptop:

base64

# DEBUG - b64 encoding took: 4.727600025944412e-05 seconds
# DEBUG - b64 encoding took: 6.373100040946156e-05 seconds

# DEBUG - b64 decoding took: 0.00011195099796168506 seconds   

pybase64

# DEBUG - b64 encoding took: 1.8701997760217637e-05 seconds

# DEBUG - b64 decoding took: 5.4245996579993516e-05 seconds  
# DEBUG - b64 decoding took: 6.30389986326918e-05 seconds
# DEBUG - b64 decoding took: 4.8896996304392815e-05 seconds

Summary by CodeRabbit

• New Features

  • Enhanced audio data processing with improved Base64 encoding and decoding.
  • Added logging for performance measurement during encoding and decoding operations.

• Chores

  • Updated dependencies in the requirements file to include click and pybase64.

[coderabbitai]

Walkthrough

The pull request introduces performance improvements to Base64 encoding and decoding operations in the hivemind_listener/__init__.py file. The changes involve replacing the standard base64 module with pybase64, a high-performance Base64 encoding and decoding library. The modifications include adding timing measurements using time.monotonic() to log the performance of encoding and decoding processes, and updating the requirements.txt file to include the new pybase64 dependency.

Changes

File	Change Summary
hivemind_listener/__init__.py	- Replaced base64 with pybase64 for encoding/decoding - Added timing measurements for get_b64_tts and transcribe_b64_audio methods - Introduced performance logging
requirements.txt	- Added pybase64 package - Uncommented click package

Sequence Diagram

sequenceDiagram
    participant Client
    participant AudioReceiver
    participant PyBase64
    
    Client->>AudioReceiver: Request audio processing
    AudioReceiver->>PyBase64: Encode/Decode Base64
    PyBase64-->>AudioReceiver: Return encoded/decoded data
    AudioReceiver->>Client: Return processed audio with timing info

Loading

Assessment against linked issues

Objective	Addressed	Explanation
Speed up B64 encode/decode [#16]	✅

Poem

🐰 Speedy Base64, oh what a delight!
Pybase64 makes encoding just right
Milliseconds fly, performance so neat
Our rabbit's algorithm can't be beat!
Encoding's now swift, no time to delay
Performance improved in every way! 🚀

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[coderabbitai]

Actionable comments posted: 1

🧹 Nitpick comments (3)

hivemind_listener/__init__.py (2)

12-12: External library usage introduced.
The addition of pybase64 aligns with the PR’s performance objectives. Consider gracefully handling import errors in environments missing pybase64 (e.g. try/except import) if you anticipate partial installs.

---

322-327: Efficient encoding with time-based metrics.
Measuring b64 encoding duration is a helpful diagnostic. However, if encoding large files, chunk-based reading/encoding might improve memory usage. Also, consider whether additional error handling is needed if reading the file fails or yields empty data.

requirements.txt (1)

6-6: Added pybase64 dependency.
This matches the changes in the codebase to speed up encoding/decoding operations. Optional: Specify a version constraint if you rely on particular bug fixes or performance characteristics.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between a5573a8 and c0cc5ac.

📒 Files selected for processing (2)

• hivemind_listener/__init__.py (3 hunks)
• requirements.txt (1 hunks)

🔇 Additional comments (2)

hivemind_listener/__init__.py (1)

4-4: No concerns with adding the time library.
This import is used for performance measurement through time.monotonic().

requirements.txt (1)

5-5: Reintroducing click for CLI usage.
Re-adding click is consistent with the CLI definitions in hivemind_listener/init.py. No issues found.