Restore full pipeline: 3-step summarization, formatting, PDF/DOCX generation

services/ai/__init__.py

@@ -5,11 +5,16 @@ AI Providers package for CBCFacil
 from .base_provider import AIProvider
 from .claude_provider import ClaudeProvider
 from .gemini_provider import GeminiProvider
-from .provider_factory import AIProviderFactory
+from .provider_factory import AIProviderFactory, ai_provider_factory
+
+# Alias for backwards compatibility
+ai_service = ai_provider_factory
 
 __all__ = [
     'AIProvider',
     'ClaudeProvider',
     'GeminiProvider',
-    'AIProviderFactory'
+    'AIProviderFactory',
+    'ai_provider_factory',
+    'ai_service'
 ]

services/ai/base_provider.py

@@ -23,6 +23,11 @@ class AIProvider(ABC):
         """Classify content into categories"""
         pass
 
+    @abstractmethod
+    def generate_text(self, prompt: str, **kwargs) -> str:
+        """Generate text from prompt"""
+        pass
+
     @abstractmethod
     def is_available(self) -> bool:
         """Check if provider is available and configured"""

services/ai/claude_provider.py

@@ -6,8 +6,8 @@ import subprocess
 import shutil
 from typing import Dict, Any, Optional
 
-from ..config import settings
-from ..core import AIProcessingError
+from config import settings
+from core import AIProcessingError
 from .base_provider import AIProvider
 
 
@@ -106,3 +106,7 @@ Return only the category name, nothing else."""
             "confidence": 0.9,
             "provider": self.name
         }
+
+    def generate_text(self, prompt: str, **kwargs) -> str:
+        """Generate text using Claude"""
+        return self._run_cli(prompt)

services/ai/gemini_provider.py

@@ -9,8 +9,8 @@ import time
 from typing import Dict, Any, Optional
 from datetime import datetime, timedelta
 
-from ..config import settings
-from ..core import AIProcessingError
+from config import settings
+from core import AIProcessingError
 from .base_provider import AIProvider
 
 
@@ -90,6 +90,7 @@ class GeminiProvider(AIProvider):
     
     def __init__(self):
         super().__init__()
+        self.logger = logging.getLogger(__name__)
         self._cli_path = settings.GEMINI_CLI_PATH or shutil.which("gemini")
         self._api_key = settings.GEMINI_API_KEY
         self._flash_model = settings.GEMINI_FLASH_MODEL
@@ -104,6 +105,14 @@ class GeminiProvider(AIProvider):
             "exponential_base": 2
         }
     
+    @property
+    def name(self) -> str:
+        return "Gemini"
+    
+    def is_available(self) -> bool:
+        """Check if Gemini CLI or API is available"""
+        return bool(self._cli_path or self._api_key)
+    
     def _init_session(self) -> None:
         """Initialize HTTP session with connection pooling"""
         if self._session is None:
@@ -275,6 +284,13 @@ Return only the category name, nothing else."""
             "confidence": 0.9,
             "provider": self.name
         }
+
+    def generate_text(self, prompt: str, **kwargs) -> str:
+        """Generate text using Gemini"""
+        use_flash = kwargs.get('use_flash', True)
+        if self._api_key:
+            return self._call_api(prompt, use_flash=use_flash)
+        return self._call_cli(prompt, use_yolo=True)
     
     def get_stats(self) -> Dict[str, Any]:
         """Get provider statistics"""

services/ai/provider_factory.py

@@ -4,7 +4,7 @@ AI Provider Factory (Factory Pattern)
 import logging
 from typing import Dict, Type
 
-from ..core import AIProcessingError
+from core import AIProcessingError
 from .base_provider import AIProvider
 from .claude_provider import ClaudeProvider
 from .gemini_provider import GeminiProvider