Simplify architecture: remove overengineering, flatten structure

- Remove dead code: cache.py, context_managers.py, decorators.py, flask-limiter
- Replace AudioSource ABC + FakeFile (5 classes) with 4 plain functions
- Replace TempFileManager class with create_temp_file/cleanup_temp_files functions
- Simplify RequestLogger from 233 to 65 lines, remove file reading side-effect
- Convert HistoryLogger and AudioUtils classes to module-level functions
- Remove unused speed_up_audio and audio_speed_factor config
- Flatten single-file directories: shared/, api/, storage/, validation/, async_tasks/, logging/
- Merge logging config + request_logger into single infrastructure/log.py
- Fix request_logging config key (was request_logger)
- Trim CLAUDE.md to high-level only

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

app/core/transcriber.py

@@ -20,8 +20,8 @@ from transformers import (
 )
 
 from ..audio.processor import AudioProcessor
-from ..audio.utils import AudioUtils
-from ..infrastructure.storage.file_manager import temp_file_manager
+from ..audio.utils import load_audio
+from ..infrastructure.storage import cleanup_temp_files
 
 logger = logging.getLogger('app.transcriber')
 
@@ -177,7 +177,7 @@ class WhisperTranscriber:
         
         try:
             # Загрузка аудио в формате numpy array
-            audio_array, sampling_rate = AudioUtils.load_audio(audio_path, sr=16000)
+            audio_array, sampling_rate = load_audio(audio_path, sr=16000)
             
             # Транскрибация с корректным форматом данных
             result = self.asr_pipeline(
@@ -279,4 +279,4 @@ class WhisperTranscriber:
             
         finally:
             # Очистка временных файлов
-            temp_file_manager.cleanup_temp_files(temp_files)
+            cleanup_temp_files(temp_files)