style: use ruff for linting and formatting (#524)

server/reflector/processors/audio_chunker.py

@@ -1,6 +1,7 @@
-from reflector.processors.base import Processor
 import av
 
+from reflector.processors.base import Processor
+
 
 class AudioChunkerProcessor(Processor):
     """

server/reflector/processors/audio_diarization_modal.py

@@ -1,4 +1,5 @@
 import httpx
+
 from reflector.processors.audio_diarization import AudioDiarizationProcessor
 from reflector.processors.audio_diarization_auto import AudioDiarizationAutoProcessor
 from reflector.processors.types import AudioDiarizationInput, TitleSummary

server/reflector/processors/audio_file_writer.py

@@ -1,6 +1,7 @@
 from pathlib import Path
 
 import av
+
 from reflector.processors.base import Processor
 
 

server/reflector/processors/audio_merge.py

@@ -1,10 +1,12 @@
-from reflector.processors.base import Processor
-from reflector.processors.types import AudioFile
+import io
 from time import monotonic_ns
 from uuid import uuid4
-import io
+
 import av
 
+from reflector.processors.base import Processor
+from reflector.processors.types import AudioFile
+
 
 class AudioMergeProcessor(Processor):
     """

server/reflector/processors/audio_transcript.py

@@ -1,4 +1,5 @@
 from prometheus_client import Counter, Histogram
+
 from reflector.processors.base import Processor
 from reflector.processors.types import AudioFile, Transcript
 

server/reflector/processors/audio_transcript_modal.py

@@ -13,6 +13,7 @@ API will be a POST request to TRANSCRIPT_URL:
 """
 
 from openai import AsyncOpenAI
+
 from reflector.processors.audio_transcript import AudioTranscriptProcessor
 from reflector.processors.audio_transcript_auto import AudioTranscriptAutoProcessor
 from reflector.processors.types import AudioFile, Transcript, Word

server/reflector/processors/audio_transcript_whisper.py

@@ -1,4 +1,5 @@
 from faster_whisper import WhisperModel
+
 from reflector.processors.audio_transcript import AudioTranscriptProcessor
 from reflector.processors.audio_transcript_auto import AudioTranscriptAutoProcessor
 from reflector.processors.types import AudioFile, Transcript, Word

server/reflector/processors/base.py

@@ -5,6 +5,7 @@ from uuid import uuid4
 
 from prometheus_client import Counter, Gauge, Histogram
 from pydantic import BaseModel
+
 from reflector.logger import logger
 
 

server/reflector/processors/summary/summary_builder.py

@@ -18,6 +18,7 @@ from llama_index.core.program import LLMTextCompletionProgram
 from llama_index.core.response_synthesizers import TreeSummarize
 from llama_index.llms.openai_like import OpenAILike
 from pydantic import BaseModel, Field
+
 from reflector.llm.base import LLM
 from reflector.llm.openai_llm import OpenAILLM
 from reflector.settings import settings

server/reflector/processors/transcript_translator.py

@@ -1,4 +1,5 @@
 import httpx
+
 from reflector.processors.base import Processor
 from reflector.processors.types import Transcript, TranslationLanguages
 from reflector.settings import settings

server/reflector/processors/types.py

@@ -5,6 +5,7 @@ from pathlib import Path
 
 from profanityfilter import ProfanityFilter
 from pydantic import BaseModel, PrivateAttr
+
 from reflector.redis_cache import redis_cache
 
 PUNC_RE = re.compile(r"[.;:?!…]")