Fix Docker runtime errors: cache permissions and numba JIT issues

Dockerfile

@@ -26,13 +26,17 @@ RUN pip install --no-cache-dir -r requirements.txt
 # Copy application code
 COPY . .
 
-# Create cache directory for models
-RUN mkdir -p /app/cache
+# Make startup script executable
+RUN chmod +x start.sh
+
+# Create cache directory for models with proper permissions
+RUN mkdir -p /app/cache && chmod 777 /app/cache
 
 # Set environment variables
-ENV TRANSFORMERS_CACHE=/app/cache
 ENV HF_HOME=/app/cache
 ENV PYTHONPATH=/app
+ENV NUMBA_CACHE_DIR=/tmp/numba_cache
+ENV NUMBA_DISABLE_JIT=1
 
 # Expose port
 EXPOSE 7860
@@ -40,5 +44,5 @@ EXPOSE 7860
 # Set environment variable for port
 ENV PORT=7860
 
-# Run the application
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+# Run the application with startup script
+CMD ["./start.sh"]

main.py

@@ -12,7 +12,17 @@ try:
 except ImportError:
     ASREngine = None
     
-from tts_engine import TTSEngine
+try:
+    # Set environment variables to prevent numba caching issues
+    import os
+    os.environ['NUMBA_DISABLE_JIT'] = '1'
+    os.environ['NUMBA_CACHE_DIR'] = '/tmp/numba_cache'
+    from tts_engine import TTSEngine
+    TTS_AVAILABLE = True
+except ImportError as e:
+    print(f"⚠️ TTS engine not available: {e}")
+    TTSEngine = None
+    TTS_AVAILABLE = False
 
 try:
     from translation_engine import TranslationEngine
@@ -63,9 +73,12 @@ def load_models():
         else:
             logger.warning("⚠️ ASR Engine not available")
         
-        logger.info("Loading TTS Engine...")
-        tts_engine = TTSEngine()
-        logger.info("✅ TTS Engine loaded")
+        if TTS_AVAILABLE and TTSEngine:
+            logger.info("Loading TTS Engine...")
+            tts_engine = TTSEngine()
+            logger.info("✅ TTS Engine loaded")
+        else:
+            logger.warning("⚠️ TTS Engine not available")
         
         logger.info("--- All available models loaded. API is ready. ---")
     except Exception as e:

start.sh

@@ -0,0 +1,45 @@
+#!/bin/bash
+set -e
+
+echo "🚀 Starting Carsa AI Backend..."
+echo "📁 Working directory: $(pwd)"
+echo "🐍 Python version: $(python --version)"
+
+# Check if main.py exists
+if [ ! -f "main.py" ]; then
+    echo "❌ main.py not found!"
+    exit 1
+fi
+
+# Test import before starting server
+echo "🔍 Testing imports..."
+python -c "
+import sys
+print('✅ Python import test...')
+try:
+    import fastapi
+    print('✅ FastAPI imported')
+    import uvicorn
+    print('✅ Uvicorn imported')
+    import torch
+    print('✅ PyTorch imported')
+    print('🎯 All core imports successful!')
+except ImportError as e:
+    print(f'❌ Import error: {e}')
+    sys.exit(1)
+"
+
+# Create cache directories with proper permissions
+mkdir -p /app/cache /tmp/numba_cache
+chmod 777 /app/cache /tmp/numba_cache
+echo "📁 Cache directories created with proper permissions"
+
+# Set environment variables
+export HF_HOME=/app/cache
+export PYTHONPATH=/app
+export NUMBA_CACHE_DIR=/tmp/numba_cache
+export NUMBA_DISABLE_JIT=1
+echo "🔧 Environment variables set"
+
+echo "🌍 Starting server on 0.0.0.0:7860..."
+python -m uvicorn main:app --host 0.0.0.0 --port 7860 --workers 1