fix

speech_service/Dockerfile

@@ -1,6 +1,6 @@
 FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04
 
-RUN apt update && apt install -y python3.10 python3-pip curl pciutils lshw && \
+RUN apt update && apt install -y python3.10 python3-pip curl pciutils lshw ffmpeg && \
     rm -rf /var/lib/apt/lists/*
 
 WORKDIR /app

telegram_bot/handlers/audio_handler.py

@@ -3,16 +3,6 @@ import subprocess
 import uuid
 from functools import partial
 from aiogram import types, Dispatcher, F
-import ffmpeg
-
-import logging
-
-logging.basicConfig(
-    filename="/shared_storage/bot_log.txt",
-    level=logging.DEBUG,
-    format="%(asctime)s - %(levelname)s - %(message)s"
-)
-
 
 async def handle_voice_and_video(message: types.Message, redis_service, storage_path: str):
     file_id = None
@@ -24,9 +14,6 @@ async def handle_voice_and_video(message: types.Message, redis_service, storage_
     if not file_id:
         return
 
-    if not os.path.exists(storage_path):
-        logging.error(f"❌ storage_path ({storage_path}) не существует!")
-
     file = await message.bot.get_file(file_id)
     file_path = file.file_path
 
@@ -40,21 +27,11 @@ async def handle_voice_and_video(message: types.Message, redis_service, storage_
 
     await message.bot.download_file(file_path, temp_destination)
 
-    if not os.path.exists(temp_destination):
-        logging.error(f"❌ Файл {temp_destination} не был загружен!")
-    else:
-        logging.error(f"✅ Файл {temp_destination} был загружен!")
-
     wav_filename = f"{file_uuid}.wav"
     wav_destination = os.path.join(storage_path, wav_filename)
     
     convert_to_wav(temp_destination, wav_destination)
 
-    if not os.path.exists(wav_destination):
-        logging.error(f"❌ WAV-файл {wav_destination} не был создан!")
-    else:
-        logging.error(f"✅ WAV-файл успешно создан: {wav_destination}")
-
     os.remove(temp_destination)
 
     task_data = {
@@ -78,47 +55,19 @@ async def handle_voice_and_video(message: types.Message, redis_service, storage_
     else:
         await message.reply("Sorry, transcription result was not received within the timeout.")
 
-def convert_to_wav1(input_file: str, output_file: str):
-    """
-    Конвертирует любой аудио/видеофайл в .wav с частотой 16kHz, 1 канал (моно).
-    """
-    try:
-        ffmpeg.input(input_file).output(
-            output_file,
-            format="wav",
-            acodec="pcm_s16le",
-            ac=1, 
-            ar="16000"
-        ).run(overwrite_output=True)
-    except Exception as e:
-        print(f"Error converting {input_file} to WAV: {e}")
 
 def convert_to_wav(input_file: str, output_file: str):
     """
     Конвертирует любой аудиофайл в WAV с частотой 16kHz, 1 канал (моно).
     Логирует ошибки FFmpeg.
     """
-    try:
+    command = [
-        logging.error(f"🔄 Конвертация: {input_file} -> {output_file}")
-
-        command = [
             "ffmpeg", "-y", "-i", input_file,
             "-ar", "16000", "-ac", "1", "-c:a", "pcm_s16le",
             output_file
         ]
-
+    subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-        result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-
-        if result.returncode != 0:
-            logging.error(f"❌ Ошибка FFmpeg:\n{result.stderr.decode()}")
-        else:
-            logging.error(f"✅ FFmpeg успешно создал файл {output_file}")
-
-    except Exception as e:
-        logging.error(f"❌ Исключение при конвертации {input_file}: {e}")
 
 def register_audio_handlers(dp: Dispatcher, redis_service, storage_path: str):
-    # Оборачиваем callback для передачи дополнительных аргументов
     handler_callback = partial(handle_voice_and_video, redis_service=redis_service, storage_path=storage_path)
-    # Регистрируем хэндлер с фильтром по content_type
     dp.message.register(handler_callback, F.content_type.in_({types.ContentType.VOICE, types.ContentType.VIDEO_NOTE}))