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feat: devex help, add Makefile, ruff, pre-commit, and modernize CI

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Brooklyn Nicholson 2026-03-09 20:36:51 -05:00
parent 172a38c344
commit f4d7e6a29e
111 changed files with 11655 additions and 10200 deletions
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16
tools/transcription_tools.py
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@ -24,7 +24,7 @@ Usage:
import logging
import os
from pathlib import Path
from typing import Optional, Dict, Any
from typing import Any
logger = logging.getLogger(__name__)
@ -39,7 +39,7 @@ SUPPORTED_FORMATS = {".mp3", ".mp4", ".mpeg", ".mpga", ".m4a", ".wav", ".webm",
MAX_FILE_SIZE = 25 * 1024 * 1024
def transcribe_audio(file_path: str, model: Optional[str] = None) -> Dict[str, Any]:
def transcribe_audio(file_path: str, model: str | None = None) -> dict[str, Any]:
"""
Transcribe an audio file using OpenAI's Whisper API.
@ -65,7 +65,7 @@ def transcribe_audio(file_path: str, model: Optional[str] = None) -> Dict[str, A
}
audio_path = Path(file_path)
# Validate file exists
if not audio_path.exists():
return {
@ -73,14 +73,14 @@ def transcribe_audio(file_path: str, model: Optional[str] = None) -> Dict[str, A
"transcript": "",
"error": f"Audio file not found: {file_path}",
}
if not audio_path.is_file():
return {
"success": False,
"transcript": "",
"error": f"Path is not a file: {file_path}",
}
# Validate file extension
if audio_path.suffix.lower() not in SUPPORTED_FORMATS:
return {
@ -88,7 +88,7 @@ def transcribe_audio(file_path: str, model: Optional[str] = None) -> Dict[str, A
"transcript": "",
"error": f"Unsupported file format: {audio_path.suffix}. Supported formats: {', '.join(sorted(SUPPORTED_FORMATS))}",
}
# Validate file size
try:
file_size = audio_path.stat().st_size
@ -96,7 +96,7 @@ def transcribe_audio(file_path: str, model: Optional[str] = None) -> Dict[str, A
return {
"success": False,
"transcript": "",
"error": f"File too large: {file_size / (1024*1024):.1f}MB (max {MAX_FILE_SIZE / (1024*1024)}MB)",
"error": f"File too large: {file_size / (1024 * 1024):.1f}MB (max {MAX_FILE_SIZE / (1024 * 1024)}MB)",
}
except OSError as e:
logger.error("Failed to get file size for %s: %s", file_path, e, exc_info=True)
@ -111,7 +111,7 @@ def transcribe_audio(file_path: str, model: Optional[str] = None) -> Dict[str, A
model = DEFAULT_STT_MODEL
try:
from openai import OpenAI, APIError, APIConnectionError, APITimeoutError
from openai import APIConnectionError, APIError, APITimeoutError, OpenAI
client = OpenAI(api_key=api_key, base_url="https://api.openai.com/v1")