add redis backend

backend/app/core/config.py

@@ -1,6 +1,6 @@
-import os
 from typing import List
-from pydantic import validator
+
+from pydantic import RedisDsn
 from pydantic_settings import BaseSettings
 
 
@@ -19,9 +19,11 @@ class Settings(BaseSettings):
     ALLOWED_ORIGINS: List[str] = [
         "http://localhost:3000",  # React dev server
         "http://localhost:5173",
-        "http://frontend:3000",   # Docker container name
+        "http://frontend:3000",  # Docker container name
     ]
 
+    REDIS_OM_URL: RedisDsn
+
     # Azure Blob Storage configuración
     AZURE_STORAGE_CONNECTION_STRING: str
     AZURE_STORAGE_ACCOUNT_NAME: str = ""
@@ -52,66 +54,10 @@ class Settings(BaseSettings):
     # Schemas storage
     SCHEMAS_DIR: str = "./data/schemas"
 
-    @validator("AZURE_STORAGE_CONNECTION_STRING")
-    def validate_azure_connection_string(cls, v):
-        """Validar que el connection string de Azure esté presente"""
-        if not v:
-            raise ValueError("AZURE_STORAGE_CONNECTION_STRING es requerido")
-        return v
-
-    @validator("QDRANT_URL")
-    def validate_qdrant_url(cls, v):
-        """Validar que la URL de Qdrant esté presente"""
-        if not v:
-            raise ValueError("QDRANT_URL es requerido")
-        return v
-
-    @validator("QDRANT_API_KEY")
-    def validate_qdrant_api_key(cls, v):
-        """Validar que la API key de Qdrant esté presente"""
-        if not v:
-            raise ValueError("QDRANT_API_KEY es requerido")
-        return v
-
-    @validator("AZURE_OPENAI_ENDPOINT")
-    def validate_azure_openai_endpoint(cls, v):
-        """Validar que el endpoint de Azure OpenAI esté presente"""
-        if not v:
-            raise ValueError("AZURE_OPENAI_ENDPOINT es requerido")
-        return v
-
-    @validator("AZURE_OPENAI_API_KEY")
-    def validate_azure_openai_api_key(cls, v):
-        """Validar que la API key de Azure OpenAI esté presente"""
-        if not v:
-            raise ValueError("AZURE_OPENAI_API_KEY es requerido")
-        return v
-
-    @validator("GOOGLE_APPLICATION_CREDENTIALS")
-    def validate_google_credentials(cls, v):
-        """Validar que el path de credenciales de Google esté presente"""
-        if not v:
-            raise ValueError("GOOGLE_APPLICATION_CREDENTIALS es requerido")
-        return v
-
-    @validator("GOOGLE_CLOUD_PROJECT")
-    def validate_google_project(cls, v):
-        """Validar que el proyecto de Google Cloud esté presente"""
-        if not v:
-            raise ValueError("GOOGLE_CLOUD_PROJECT es requerido")
-        return v
-
-    @validator("LANDINGAI_API_KEY")
-    def validate_landingai_api_key(cls, v):
-        """Validar que la API key de LandingAI esté presente"""
-        if not v:
-            raise ValueError("LANDINGAI_API_KEY es requerido")
-        return v
-
     class Config:
         env_file = ".env"
         case_sensitive = True
 
 
 # Instancia global de configuración
-settings = Settings()
+settings = Settings.model_validate({})

backend/app/main.py

@@ -1,16 +1,21 @@
+import logging
+from contextlib import asynccontextmanager
+
+import uvicorn
 from fastapi import FastAPI, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
-import uvicorn
+
-import logging
+from .core.config import settings
+from .routers.chunking import router as chunking_router
+from .routers.chunking_landingai import router as chunking_landingai_router
+from .routers.dataroom import router as dataroom_router
 
 # Import routers
 from .routers.files import router as files_router
-from .routers.vectors import router as vectors_router
-from .routers.chunking import router as chunking_router
 from .routers.schemas import router as schemas_router
-from .routers.chunking_landingai import router as chunking_landingai_router
+from .routers.vectors import router as vectors_router
-from .core.config import settings
+
 # from routers.ai import router as ai_router  #  futuro con Azure OpenAI
 
 # Import config
@@ -18,18 +23,31 @@ from .core.config import settings
 
 # Configurar logging
 logging.basicConfig(
-    level=logging.INFO,
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
 )
 logger = logging.getLogger(__name__)
 
 
+@asynccontextmanager
+async def lifespan(_: FastAPI):
+    logger.info("Iniciando File Manager API...")
+    logger.info(
+        f"Conectando a Azure Storage Account: {settings.AZURE_STORAGE_ACCOUNT_NAME}"
+    )
+    logger.info(f"Conectando a Qdrant: {settings.QDRANT_URL}")
+
+    yield
+
+    logger.info("Cerrando File Manager API...")
+    # Cleanup de recursos si es necesario
+
+
 app = FastAPI(
     title="File Manager API",
     description=" DoRa",
     version="1.0.0",
     docs_url="/docs",
-    redoc_url="/redoc"
+    redoc_url="/redoc",
 )
 
 # Configurar CORS para React frontend
@@ -41,6 +59,7 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
+
 # Middleware para logging de requests
 @app.middleware("http")
 async def log_requests(request, call_next):
@@ -49,19 +68,17 @@ async def log_requests(request, call_next):
     logger.info(f"Response: {response.status_code}")
     return response
 
+
 # Manejador global de excepciones
 @app.exception_handler(HTTPException)
 async def http_exception_handler(request, exc):
     logger.error(f"HTTP Exception: {exc.status_code} - {exc.detail}")
     return JSONResponse(
         status_code=exc.status_code,
-        content={
+        content={"error": True, "message": exc.detail, "status_code": exc.status_code},
-            "error": True,
-            "message": exc.detail,
-            "status_code": exc.status_code
-        }
     )
 
+
 @app.exception_handler(Exception)
 async def general_exception_handler(request, exc):
     logger.error(f"Unhandled Exception: {str(exc)}")
@@ -70,10 +87,11 @@ async def general_exception_handler(request, exc):
         content={
             "error": True,
             "message": "Error interno del servidor",
-            "status_code": 500
+            "status_code": 500,
-        }
+        },
     )
 
+
 # Health check endpoint
 @app.get("/health")
 async def health_check():
@@ -81,9 +99,10 @@ async def health_check():
     return {
         "status": "healthy",
         "message": "File Manager API está funcionando correctamente",
-        "version": "1.0.0"
+        "version": "1.0.0",
     }
 
+
 # Root endpoint
 @app.get("/")
 async def root():
@@ -92,27 +111,16 @@ async def root():
         "message": "File Manager API",
         "version": "1.0.0",
         "docs": "/docs",
-        "health": "/health"
+        "health": "/health",
     }
 
+
 # Incluir routers
-app.include_router(
+app.include_router(files_router, prefix="/api/v1/files", tags=["files"])
-    files_router,
-    prefix="/api/v1/files",
-    tags=["files"]
-)
 
-app.include_router(
+app.include_router(vectors_router, prefix="/api/v1", tags=["vectors"])
-    vectors_router,
-    prefix="/api/v1",
-    tags=["vectors"]
-)
 
-app.include_router(
+app.include_router(chunking_router, prefix="/api/v1", tags=["chunking"])
-    chunking_router,
-    prefix="/api/v1",
-    tags=["chunking"]
-)
 
 # Schemas router (nuevo)
 app.include_router(schemas_router)
@@ -120,6 +128,8 @@ app.include_router(schemas_router)
 # Chunking LandingAI router (nuevo)
 app.include_router(chunking_landingai_router)
 
+app.include_router(dataroom_router, prefix="/api/v1")
+
 # Router para IA
 # app.include_router(
 #     ai_router,
@@ -127,21 +137,6 @@ app.include_router(chunking_landingai_router)
 #     tags=["ai"]
 # )
 
-# Evento de startup
-@app.on_event("startup")
-async def startup_event():
-    logger.info("Iniciando File Manager API...")
-    logger.info(f"Conectando a Azure Storage Account: {settings.AZURE_STORAGE_ACCOUNT_NAME}")
-    logger.info(f"Conectando a Qdrant: {settings.QDRANT_URL}")
-    #  validaciones de conexión a Azure
-    
-
-# Evento de shutdown
-@app.on_event("shutdown")
-async def shutdown_event():
-    logger.info("Cerrando File Manager API...")
-    # Cleanup de recursos si es necesario
-
 
 if __name__ == "__main__":
     uvicorn.run(
@@ -149,5 +144,5 @@ if __name__ == "__main__":
         host=settings.HOST,
         port=settings.PORT,
         reload=settings.DEBUG,
-        log_level="info"
+        log_level="info",
     )

backend/app/models/dataroom.py

@@ -0,0 +1,10 @@
+from redis_om import HashModel, Migrator
+
+
+class DataRoom(HashModel):
+    name: str
+    collection: str
+    storage: str
+
+
+Migrator().run()

backend/app/routers/dataroom.py

@@ -0,0 +1,150 @@
+import logging
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+
+from ..models.dataroom import DataRoom
+from ..models.vector_models import CollectionCreateRequest
+from ..services.vector_service import vector_service
+
+logger = logging.getLogger(__name__)
+
+
+class DataroomCreate(BaseModel):
+    name: str
+    collection: str = ""
+    storage: str = ""
+
+
+router = APIRouter(prefix="/dataroom", tags=["Dataroom"])
+
+
+@router.get("/")
+async def list_datarooms():
+    """
+    Listar todos los temas disponibles
+    """
+    try:
+        # Get all DataRoom instances
+        datarooms: list[DataRoom] = DataRoom.find().all()
+        logger.info(f"Found {len(datarooms)} datarooms in Redis")
+
+        # Convert to list of dictionaries
+        dataroom_list = [
+            {"name": room.name, "collection": room.collection, "storage": room.storage}
+            for room in datarooms
+        ]
+
+        logger.info(f"Returning dataroom list: {dataroom_list}")
+        return {"datarooms": dataroom_list}
+    except Exception as e:
+        logger.error(f"Error listing datarooms: {e}")
+        raise HTTPException(
+            status_code=500, detail=f"Error listing datarooms: {str(e)}"
+        )
+
+
+@router.post("/")
+async def create_dataroom(dataroom: DataroomCreate):
+    """
+    Crear un nuevo dataroom y su colección vectorial asociada
+    """
+    try:
+        # Create new DataRoom instance
+        new_dataroom = DataRoom(
+            name=dataroom.name, collection=dataroom.collection, storage=dataroom.storage
+        )
+
+        # Save to Redis
+        new_dataroom.save()
+
+        # Create the vector collection for this dataroom
+        try:
+            # First check if collection already exists
+            collection_exists_response = await vector_service.check_collection_exists(
+                dataroom.name
+            )
+
+            if not collection_exists_response.exists:
+                # Only create if it doesn't exist
+                collection_request = CollectionCreateRequest(
+                    collection_name=dataroom.name,
+                    vector_size=3072,  # Default vector size for embeddings
+                    distance="Cosine",  # Default distance metric
+                )
+                await vector_service.create_collection(collection_request)
+                logger.info(f"Collection '{dataroom.name}' created successfully")
+            else:
+                logger.info(
+                    f"Collection '{dataroom.name}' already exists, skipping creation"
+                )
+        except Exception as e:
+            # Log the error but don't fail the dataroom creation
+            logger.warning(
+                f"Could not create collection for dataroom '{dataroom.name}': {e}"
+            )
+
+        return {
+            "message": "Dataroom created successfully",
+            "dataroom": {
+                "name": new_dataroom.name,
+                "collection": new_dataroom.collection,
+                "storage": new_dataroom.storage,
+            },
+        }
+    except Exception as e:
+        raise HTTPException(
+            status_code=500, detail=f"Error creating dataroom: {str(e)}"
+        )
+
+
+@router.delete("/{dataroom_name}")
+async def delete_dataroom(dataroom_name: str):
+    """
+    Eliminar un dataroom y su colección vectorial asociada
+    """
+    try:
+        # First check if dataroom exists
+        existing_datarooms = DataRoom.find().all()
+        dataroom_exists = any(room.name == dataroom_name for room in existing_datarooms)
+
+        if not dataroom_exists:
+            raise HTTPException(
+                status_code=404, detail=f"Dataroom '{dataroom_name}' not found"
+            )
+
+        # Delete the vector collection first
+        try:
+            collection_exists = await vector_service.check_collection_exists(
+                dataroom_name
+            )
+            if collection_exists.exists:
+                await vector_service.delete_collection(dataroom_name)
+                logger.info(
+                    f"Collection '{dataroom_name}' deleted from vector database"
+                )
+        except Exception as e:
+            logger.warning(
+                f"Could not delete collection '{dataroom_name}' from vector database: {e}"
+            )
+            # Continue with dataroom deletion even if collection deletion fails
+
+        # Delete the dataroom from Redis
+        for room in existing_datarooms:
+            if room.name == dataroom_name:
+                # Delete using the primary key
+                DataRoom.delete(room.pk)
+                logger.info(f"Dataroom '{dataroom_name}' deleted from Redis")
+                break
+
+        return {
+            "message": "Dataroom deleted successfully",
+            "dataroom_name": dataroom_name,
+        }
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f"Error deleting dataroom '{dataroom_name}': {e}")
+        raise HTTPException(
+            status_code=500, detail=f"Error deleting dataroom: {str(e)}"
+        )

backend/app/routers/files.py

@@ -1,18 +1,28 @@
-from fastapi import APIRouter, UploadFile, File, HTTPException, Query, Form
+import io
-from fastapi.responses import StreamingResponse, Response
-from typing import Optional, List
 import logging
 import os
 import zipfile
-import io
 from datetime import datetime
+from typing import List, Optional
 
+from fastapi import APIRouter, File, Form, HTTPException, Query, UploadFile
+from fastapi.responses import Response, StreamingResponse
+
+from ..models.dataroom import DataRoom
 from ..models.file_models import (
-    FileUploadRequest, FileUploadResponse, FileInfo, FileListResponse,
+    ErrorResponse,
-    FileDeleteResponse, FileBatchDeleteRequest, 
+    FileBatchDeleteRequest,
-    FileConflictResponse, FileBatchDeleteResponse, 
+    FileBatchDeleteResponse,
-    FileBatchDownloadRequest, TemasListResponse, 
+    FileBatchDownloadRequest,
-    FileUploadCheckRequest, FileUploadConfirmRequest, ErrorResponse
+    FileConflictResponse,
+    FileDeleteResponse,
+    FileInfo,
+    FileListResponse,
+    FileUploadCheckRequest,
+    FileUploadConfirmRequest,
+    FileUploadRequest,
+    FileUploadResponse,
+    TemasListResponse,
 )
 from ..services.azure_service import azure_service
 from ..services.file_service import file_service
@@ -51,7 +61,7 @@ async def check_file_before_upload(request: FileUploadCheckRequest):
                 message=f"El archivo '{request.filename}' ya existe en el tema '{clean_tema or 'general'}'",
                 existing_file=request.filename,
                 suggested_name=suggested_name,
-                tema=clean_tema
+                tema=clean_tema,
             )
         else:
             # No hay conflicto, se puede subir directamente
@@ -60,14 +70,16 @@ async def check_file_before_upload(request: FileUploadCheckRequest):
                 message="Archivo disponible para subir",
                 existing_file=request.filename,
                 suggested_name=request.filename,
-                tema=clean_tema
+                tema=clean_tema,
             )
 
     except HTTPException:
         raise
     except Exception as e:
         logger.error(f"Error verificando archivo '{request.filename}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.post("/upload/confirm", response_model=FileUploadResponse)
@@ -75,7 +87,7 @@ async def upload_file_with_confirmation(
     file: UploadFile = File(...),
     action: str = Form(...),
     tema: Optional[str] = Form(None),
-    new_filename: Optional[str] = Form(None)
+    new_filename: Optional[str] = Form(None),
 ):
     """
     Subir archivo con confirmación de acción para conflictos
@@ -87,18 +99,13 @@ async def upload_file_with_confirmation(
 
         # Crear request de confirmación para validaciones
         confirm_request = FileUploadConfirmRequest(
-            filename=file.filename,
+            filename=file.filename, tema=tema, action=action, new_filename=new_filename
-            tema=tema,
-            action=action,
-            new_filename=new_filename
         )
 
         # Si la acción es cancelar, no hacer nada
         if confirm_request.action == "cancel":
             return FileUploadResponse(
-                success=False,
+                success=False, message="Subida cancelada por el usuario", file=None
-                message="Subida cancelada por el usuario",
-                file=None
             )
 
         # Determinar el nombre final del archivo
@@ -128,15 +135,13 @@ async def upload_file_with_confirmation(
             if not exists:
                 raise HTTPException(
                     status_code=404,
-                    detail=f"Archivo '{file.filename}' no existe para sobrescribir"
+                    detail=f"Archivo '{file.filename}' no existe para sobrescribir",
                 )
 
         # Subir archivo a Azure
         file_stream = io.BytesIO(file_content)
         uploaded_file_info = await azure_service.upload_file(
-            file_data=file_stream,
+            file_data=file_stream, blob_name=final_filename, tema=clean_tema
-            blob_name=final_filename,
-            tema=clean_tema
         )
 
         # Crear objeto FileInfo
@@ -146,50 +151,72 @@ async def upload_file_with_confirmation(
             tema=uploaded_file_info["tema"],
             size=uploaded_file_info["size"],
             last_modified=uploaded_file_info["last_modified"],
-            url=uploaded_file_info["url"]
+            url=uploaded_file_info["url"],
         )
 
         action_msg = {
             "overwrite": "sobrescrito",
-            "rename": f"renombrado a '{final_filename}'"
+            "rename": f"renombrado a '{final_filename}'",
         }
 
-        logger.info(f"Archivo '{file.filename}' {action_msg.get(confirm_request.action, 'subido')} exitosamente")
+        logger.info(
+            f"Archivo '{file.filename}' {action_msg.get(confirm_request.action, 'subido')} exitosamente"
+        )
 
         return FileUploadResponse(
             success=True,
             message=f"Archivo {action_msg.get(confirm_request.action, 'subido')} exitosamente",
-            file=file_info
+            file=file_info,
         )
 
     except HTTPException:
         raise
     except Exception as e:
         logger.error(f"Error en subida confirmada: {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.post("/upload", response_model=FileUploadResponse)
-async def upload_file(
+async def upload_file(file: UploadFile = File(...), tema: Optional[str] = Form(None)):
-    file: UploadFile = File(...),
-    tema: Optional[str] = Form(None)
-):
     """
     Subir un archivo al almacenamiento
     """
     try:
+        # Validar que el dataroom existe si se proporciona un tema
+        if tema:
+            existing_datarooms = DataRoom.find().all()
+            dataroom_exists = any(room.name == tema for room in existing_datarooms)
+
+            if not dataroom_exists:
+                raise HTTPException(
+                    status_code=400,
+                    detail=f"El dataroom '{tema}' no existe. Créalo primero antes de subir archivos.",
+                )
+
         # Validar archivo
         if not file.filename:
             raise HTTPException(status_code=400, detail="Nombre de archivo requerido")
 
         # Validar extensión del archivo
         file_extension = os.path.splitext(file.filename)[1].lower()
-        allowed_extensions = ['.pdf', '.doc', '.docx', '.xls', '.xlsx', '.ppt', '.pptx', '.txt', '.csv']
+        allowed_extensions = [
+            ".pdf",
+            ".doc",
+            ".docx",
+            ".xls",
+            ".xlsx",
+            ".ppt",
+            ".pptx",
+            ".txt",
+            ".csv",
+        ]
 
         if file_extension not in allowed_extensions:
             raise HTTPException(
                 status_code=400,
-                detail=f"Tipo de archivo no permitido. Extensiones permitidas: {', '.join(allowed_extensions)}"
+                detail=f"Tipo de archivo no permitido. Extensiones permitidas: {', '.join(allowed_extensions)}",
             )
 
         # Leer contenido del archivo
@@ -200,7 +227,7 @@ async def upload_file(
         if len(file_content) > max_size:
             raise HTTPException(
                 status_code=400,
-                detail=f"Archivo demasiado grande. Tamaño máximo permitido: 100MB"
+                detail=f"Archivo demasiado grande. Tamaño máximo permitido: 100MB",
             )
 
         # Procesar tema
@@ -210,9 +237,7 @@ async def upload_file(
         # Subir archivo a Azure
         file_stream = io.BytesIO(file_content)
         uploaded_file_info = await azure_service.upload_file(
-            file_data=file_stream,
+            file_data=file_stream, blob_name=file.filename, tema=processed_tema
-            blob_name=file.filename,
-            tema=processed_tema
         )
 
         # Crear objeto FileInfo
@@ -222,22 +247,24 @@ async def upload_file(
             tema=uploaded_file_info["tema"],
             size=uploaded_file_info["size"],
             last_modified=uploaded_file_info["last_modified"],
-            url=uploaded_file_info["url"]
+            url=uploaded_file_info["url"],
         )
 
-        logger.info(f"Archivo '{file.filename}' subido exitosamente al tema '{processed_tema}'")
+        logger.info(
+            f"Archivo '{file.filename}' subido exitosamente al tema '{processed_tema}'"
+        )
 
         return FileUploadResponse(
-            success=True,
+            success=True, message="Archivo subido exitosamente", file=file_info
-            message="Archivo subido exitosamente",
-            file=file_info
         )
 
     except HTTPException:
         raise
     except Exception as e:
         logger.error(f"Error subiendo archivo: {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.get("/", response_model=FileListResponse)
@@ -258,21 +285,22 @@ async def list_files(tema: Optional[str] = Query(None, description="Filtrar por
                 tema=file_data["tema"],
                 size=file_data["size"],
                 last_modified=file_data["last_modified"],
-                content_type=file_data.get("content_type")
+                content_type=file_data.get("content_type"),
             )
             files_info.append(file_info)
 
-        logger.info(f"Listados {len(files_info)} archivos" + (f" del tema '{tema}'" if tema else ""))
+        logger.info(
-        
+            f"Listados {len(files_info)} archivos"
-        return FileListResponse(
+            + (f" del tema '{tema}'" if tema else "")
-            files=files_info,
-            total=len(files_info),
-            tema=tema
         )
 
+        return FileListResponse(files=files_info, total=len(files_info), tema=tema)
+
     except Exception as e:
         logger.error(f"Error listando archivos: {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.get("/temas", response_model=TemasListResponse)
@@ -294,20 +322,19 @@ async def list_temas():
 
         logger.info(f"Encontrados {len(temas_list)} temas")
 
-        return TemasListResponse(
+        return TemasListResponse(temas=temas_list, total=len(temas_list))
-            temas=temas_list,
-            total=len(temas_list)
-        )
 
     except Exception as e:
         logger.error(f"Error listando temas: {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.get("/{filename}/download")
 async def download_file(
     filename: str,
-    tema: Optional[str] = Query(None, description="Tema donde está el archivo")
+    tema: Optional[str] = Query(None, description="Tema donde está el archivo"),
 ):
     """
     Descargar un archivo individual
@@ -315,64 +342,71 @@ async def download_file(
     try:
         # Descargar archivo de Azure
         file_content = await azure_service.download_file(
-            blob_name=filename,
+            blob_name=filename, tema=tema or ""
-            tema=tema or ""
         )
 
         # Obtener información del archivo para content-type
         file_info = await azure_service.get_file_info(
-            blob_name=filename,
+            blob_name=filename, tema=tema or ""
-            tema=tema or ""
         )
 
         # Determinar content-type
         content_type = file_info.get("content_type", "application/octet-stream")
 
-        logger.info(f"Descargando archivo '{filename}'" + (f" del tema '{tema}'" if tema else ""))
+        logger.info(
+            f"Descargando archivo '{filename}'"
+            + (f" del tema '{tema}'" if tema else "")
+        )
 
         return Response(
             content=file_content,
             media_type=content_type,
-            headers={
+            headers={"Content-Disposition": f"attachment; filename={filename}"},
-                "Content-Disposition": f"attachment; filename={filename}"
-            }
         )
 
     except FileNotFoundError:
-        raise HTTPException(status_code=404, detail=f"Archivo '{filename}' no encontrado")
+        raise HTTPException(
+            status_code=404, detail=f"Archivo '{filename}' no encontrado"
+        )
     except Exception as e:
         logger.error(f"Error descargando archivo '{filename}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.delete("/{filename}", response_model=FileDeleteResponse)
 async def delete_file(
     filename: str,
-    tema: Optional[str] = Query(None, description="Tema donde está el archivo")
+    tema: Optional[str] = Query(None, description="Tema donde está el archivo"),
 ):
     """
     Eliminar un archivo
     """
     try:
         # Eliminar archivo de Azure
-        await azure_service.delete_file(
+        await azure_service.delete_file(blob_name=filename, tema=tema or "")
-            blob_name=filename,
-            tema=tema or ""
-        )
 
-        logger.info(f"Archivo '{filename}' eliminado exitosamente" + (f" del tema '{tema}'" if tema else ""))
+        logger.info(
+            f"Archivo '{filename}' eliminado exitosamente"
+            + (f" del tema '{tema}'" if tema else "")
+        )
 
         return FileDeleteResponse(
             success=True,
             message="Archivo eliminado exitosamente",
-            deleted_file=filename
+            deleted_file=filename,
         )
 
     except FileNotFoundError:
-        raise HTTPException(status_code=404, detail=f"Archivo '{filename}' no encontrado")
+        raise HTTPException(
+            status_code=404, detail=f"Archivo '{filename}' no encontrado"
+        )
     except Exception as e:
         logger.error(f"Error eliminando archivo '{filename}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.post("/delete-batch", response_model=FileBatchDeleteResponse)
@@ -387,8 +421,7 @@ async def delete_batch_files(request: FileBatchDeleteRequest):
         for filename in request.files:
             try:
                 await azure_service.delete_file(
-                    blob_name=filename,
+                    blob_name=filename, tema=request.tema or ""
-                    tema=request.tema or ""
                 )
                 deleted_files.append(filename)
                 logger.info(f"Archivo '{filename}' eliminado exitosamente")
@@ -405,12 +438,14 @@ async def delete_batch_files(request: FileBatchDeleteRequest):
             success=success,
             message=message,
             deleted_files=deleted_files,
-            failed_files=failed_files
+            failed_files=failed_files,
         )
 
     except Exception as e:
         logger.error(f"Error en eliminación batch: {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.post("/download-batch")
@@ -422,13 +457,12 @@ async def download_batch_files(request: FileBatchDownloadRequest):
         # Crear ZIP en memoria
         zip_buffer = io.BytesIO()
 
-        with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+        with zipfile.ZipFile(zip_buffer, "w", zipfile.ZIP_DEFLATED) as zip_file:
             for filename in request.files:
                 try:
                     # Descargar archivo de Azure
                     file_content = await azure_service.download_file(
-                        blob_name=filename,
+                        blob_name=filename, tema=request.tema or ""
-                        tema=request.tema or ""
                     )
 
                     # Agregar al ZIP
@@ -451,14 +485,14 @@ async def download_batch_files(request: FileBatchDownloadRequest):
         return StreamingResponse(
             io.BytesIO(zip_buffer.read()),
             media_type="application/zip",
-            headers={
+            headers={"Content-Disposition": f"attachment; filename={zip_filename}"},
-                "Content-Disposition": f"attachment; filename={zip_filename}"
-            }
         )
 
     except Exception as e:
         logger.error(f"Error creando ZIP: {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.get("/tema/{tema}/download-all")
@@ -471,25 +505,29 @@ async def download_tema_completo(tema: str):
         files_data = await azure_service.list_files(tema=tema)
 
         if not files_data:
-            raise HTTPException(status_code=404, detail=f"No se encontraron archivos en el tema '{tema}'")
+            raise HTTPException(
+                status_code=404,
+                detail=f"No se encontraron archivos en el tema '{tema}'",
+            )
 
         # Crear ZIP en memoria
         zip_buffer = io.BytesIO()
 
-        with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
+        with zipfile.ZipFile(zip_buffer, "w", zipfile.ZIP_DEFLATED) as zip_file:
             for file_data in files_data:
                 try:
                     filename = file_data["name"]
 
                     # Descargar archivo de Azure
                     file_content = await azure_service.download_file(
-                        blob_name=filename,
+                        blob_name=filename, tema=tema
-                        tema=tema
                     )
 
                     # Agregar al ZIP
                     zip_file.writestr(filename, file_content)
-                    logger.info(f"Archivo '{filename}' agregado al ZIP del tema '{tema}'")
+                    logger.info(
+                        f"Archivo '{filename}' agregado al ZIP del tema '{tema}'"
+                    )
 
                 except Exception as e:
                     logger.error(f"Error agregando '{filename}' al ZIP: {e}")
@@ -507,16 +545,16 @@ async def download_tema_completo(tema: str):
         return StreamingResponse(
             io.BytesIO(zip_buffer.read()),
             media_type="application/zip",
-            headers={
+            headers={"Content-Disposition": f"attachment; filename={zip_filename}"},
-                "Content-Disposition": f"attachment; filename={zip_filename}"
-            }
         )
 
     except HTTPException:
         raise
     except Exception as e:
         logger.error(f"Error creando ZIP del tema '{tema}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.delete("/tema/{tema}/delete-all", response_model=FileBatchDeleteResponse)
@@ -529,7 +567,10 @@ async def delete_tema_completo(tema: str):
         files_data = await azure_service.list_files(tema=tema)
 
         if not files_data:
-            raise HTTPException(status_code=404, detail=f"No se encontraron archivos en el tema '{tema}'")
+            raise HTTPException(
+                status_code=404,
+                detail=f"No se encontraron archivos en el tema '{tema}'",
+            )
 
         deleted_files = []
         failed_files = []
@@ -537,41 +578,46 @@ async def delete_tema_completo(tema: str):
         for file_data in files_data:
             filename = file_data["name"]
             try:
-                await azure_service.delete_file(
+                await azure_service.delete_file(blob_name=filename, tema=tema)
-                    blob_name=filename,
-                    tema=tema
-                )
                 deleted_files.append(filename)
                 logger.info(f"Archivo '{filename}' eliminado del tema '{tema}'")
             except Exception as e:
                 failed_files.append(filename)
-                logger.error(f"Error eliminando archivo '{filename}' del tema '{tema}': {e}")
+                logger.error(
+                    f"Error eliminando archivo '{filename}' del tema '{tema}': {e}"
+                )
 
         success = len(failed_files) == 0
-        message = f"Tema '{tema}': eliminados {len(deleted_files)} archivos exitosamente"
+        message = (
+            f"Tema '{tema}': eliminados {len(deleted_files)} archivos exitosamente"
+        )
         if failed_files:
             message += f", {len(failed_files)} archivos fallaron"
 
-        logger.info(f"Eliminación completa del tema '{tema}': {len(deleted_files)} exitosos, {len(failed_files)} fallidos")
+        logger.info(
+            f"Eliminación completa del tema '{tema}': {len(deleted_files)} exitosos, {len(failed_files)} fallidos"
+        )
 
         return FileBatchDeleteResponse(
             success=success,
             message=message,
             deleted_files=deleted_files,
-            failed_files=failed_files
+            failed_files=failed_files,
         )
 
     except HTTPException:
         raise
     except Exception as e:
         logger.error(f"Error eliminando tema '{tema}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.get("/{filename}/info", response_model=FileInfo)
 async def get_file_info(
     filename: str,
-    tema: Optional[str] = Query(None, description="Tema donde está el archivo")
+    tema: Optional[str] = Query(None, description="Tema donde está el archivo"),
 ):
     """
     Obtener información detallada de un archivo
@@ -579,8 +625,7 @@ async def get_file_info(
     try:
         # Obtener información de Azure
         file_data = await azure_service.get_file_info(
-            blob_name=filename,
+            blob_name=filename, tema=tema or ""
-            tema=tema or ""
         )
 
         # Convertir a objeto FileInfo
@@ -591,24 +636,30 @@ async def get_file_info(
             size=file_data["size"],
             last_modified=file_data["last_modified"],
             content_type=file_data.get("content_type"),
-            url=file_data.get("url")
+            url=file_data.get("url"),
         )
 
         logger.info(f"Información obtenida para archivo '{filename}'")
         return file_info
 
     except FileNotFoundError:
-        raise HTTPException(status_code=404, detail=f"Archivo '{filename}' no encontrado")
+        raise HTTPException(
+            status_code=404, detail=f"Archivo '{filename}' no encontrado"
+        )
     except Exception as e:
         logger.error(f"Error obteniendo info del archivo '{filename}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )
 
 
 @router.get("/{filename}/preview-url")
 async def get_file_preview_url(
     filename: str,
     tema: Optional[str] = Query(None, description="Tema donde está el archivo"),
-    expiry_hours: int = Query(1, description="Horas de validez de la URL (máximo 24)", ge=1, le=24)
+    expiry_hours: int = Query(
+        1, description="Horas de validez de la URL (máximo 24)", ge=1, le=24
+    ),
 ):
     """
     Generar una URL temporal (SAS) para vista previa de archivos
@@ -633,23 +684,28 @@ async def get_file_preview_url(
     try:
         # Generar SAS URL usando el servicio de Azure
         sas_url = await azure_service.generate_sas_url(
-            blob_name=filename,
+            blob_name=filename, tema=tema or "", expiry_hours=expiry_hours
-            tema=tema or "",
-            expiry_hours=expiry_hours
         )
 
-        logger.info(f"SAS URL generada para preview de '{filename}'" + (f" del tema '{tema}'" if tema else ""))
+        logger.info(
+            f"SAS URL generada para preview de '{filename}'"
+            + (f" del tema '{tema}'" if tema else "")
+        )
 
         return {
             "success": True,
             "filename": filename,
             "url": sas_url,
             "expiry_hours": expiry_hours,
-            "message": f"URL temporal generada (válida por {expiry_hours} hora{'s' if expiry_hours > 1 else ''})"
+            "message": f"URL temporal generada (válida por {expiry_hours} hora{'s' if expiry_hours > 1 else ''})",
         }
 
     except FileNotFoundError:
-        raise HTTPException(status_code=404, detail=f"Archivo '{filename}' no encontrado")
+        raise HTTPException(
+            status_code=404, detail=f"Archivo '{filename}' no encontrado"
+        )
     except Exception as e:
         logger.error(f"Error generando preview URL para '{filename}': {e}")
-        raise HTTPException(status_code=500, detail=f"Error interno del servidor: {str(e)}")
+        raise HTTPException(
+            status_code=500, detail=f"Error interno del servidor: {str(e)}"
+        )

backend/pyproject.toml

@@ -27,6 +27,7 @@ dependencies = [
     "langchain-text-splitters>=1.0.0",
     # LandingAI Document AI
     "landingai-ade>=0.2.1",
+    "redis-om>=0.3.5",
 ]
 [project.scripts]
 dev = "uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload"

backend/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.12"
 resolution-markers = [
     "python_full_version >= '3.14'",
@@ -79,6 +79,7 @@ dependencies = [
     { name = "python-dotenv" },
     { name = "python-multipart" },
     { name = "qdrant-client" },
+    { name = "redis-om" },
     { name = "tiktoken" },
     { name = "uvicorn", extra = ["standard"] },
     { name = "websockets" },
@@ -101,6 +102,7 @@ requires-dist = [
     { name = "python-dotenv", specifier = ">=1.1.1" },
     { name = "python-multipart", specifier = ">=0.0.20" },
     { name = "qdrant-client", specifier = ">=1.15.1" },
+    { name = "redis-om", specifier = ">=0.3.5" },
     { name = "tiktoken", specifier = ">=0.8.0" },
     { name = "uvicorn", extras = ["standard"], specifier = ">=0.35.0" },
     { name = "websockets", specifier = ">=14.1" },
@@ -632,6 +634,66 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/69/b2/119f6e6dcbd96f9069ce9a2665e0146588dc9f88f29549711853645e736a/h2-4.3.0-py3-none-any.whl", hash = "sha256:c438f029a25f7945c69e0ccf0fb951dc3f73a5f6412981daee861431b70e2bdd", size = 61779, upload-time = "2025-08-23T18:12:17.779Z" },
 ]
 
+[[package]]
+name = "hiredis"
+version = "3.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/65/82/d2817ce0653628e0a0cb128533f6af0dd6318a49f3f3a6a7bd1f2f2154af/hiredis-3.3.0.tar.gz", hash = "sha256:105596aad9249634361815c574351f1bd50455dc23b537c2940066c4a9dea685", size = 89048, upload-time = "2025-10-14T16:33:34.263Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/48/1c/ed28ae5d704f5c7e85b946fa327f30d269e6272c847fef7e91ba5fc86193/hiredis-3.3.0-cp312-cp312-macosx_10_15_universal2.whl", hash = "sha256:5b8e1d6a2277ec5b82af5dce11534d3ed5dffeb131fd9b210bc1940643b39b5f", size = 82026, upload-time = "2025-10-14T16:32:12.004Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/9b/79f30c5c40e248291023b7412bfdef4ad9a8a92d9e9285d65d600817dac7/hiredis-3.3.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:c4981de4d335f996822419e8a8b3b87367fcef67dc5fb74d3bff4df9f6f17783", size = 46217, upload-time = "2025-10-14T16:32:13.133Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/c3/02b9ed430ad9087aadd8afcdf616717452d16271b701fa47edfe257b681e/hiredis-3.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1706480a683e328ae9ba5d704629dee2298e75016aa0207e7067b9c40cecc271", size = 41858, upload-time = "2025-10-14T16:32:13.98Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/98/b2a42878b82130a535c7aa20bc937ba2d07d72e9af3ad1ad93e837c419b5/hiredis-3.3.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0a95cef9989736ac313639f8f545b76b60b797e44e65834aabbb54e4fad8d6c8", size = 170195, upload-time = "2025-10-14T16:32:14.728Z" },
+    { url = "https://files.pythonhosted.org/packages/66/1d/9dcde7a75115d3601b016113d9b90300726fa8e48aacdd11bf01a453c145/hiredis-3.3.0-cp312-cp312-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca2802934557ccc28a954414c245ba7ad904718e9712cb67c05152cf6b9dd0a3", size = 181808, upload-time = "2025-10-14T16:32:15.622Z" },
+    { url = "https://files.pythonhosted.org/packages/56/a1/60f6bda9b20b4e73c85f7f5f046bc2c154a5194fc94eb6861e1fd97ced52/hiredis-3.3.0-cp312-cp312-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:fe730716775f61e76d75810a38ee4c349d3af3896450f1525f5a4034cf8f2ed7", size = 180578, upload-time = "2025-10-14T16:32:16.514Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/01/859d21de65085f323a701824e23ea3330a0ac05f8e184544d7aa5c26128d/hiredis-3.3.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:749faa69b1ce1f741f5eaf743435ac261a9262e2d2d66089192477e7708a9abc", size = 172508, upload-time = "2025-10-14T16:32:17.411Z" },
+    { url = "https://files.pythonhosted.org/packages/99/a8/28fd526e554c80853d0fbf57ef2a3235f00e4ed34ce0e622e05d27d0f788/hiredis-3.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:95c9427f2ac3f1dd016a3da4e1161fa9d82f221346c8f3fdd6f3f77d4e28946c", size = 166341, upload-time = "2025-10-14T16:32:18.561Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/91/ded746b7d2914f557fbbf77be55e90d21f34ba758ae10db6591927c642c8/hiredis-3.3.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:c863ee44fe7bff25e41f3a5105c936a63938b76299b802d758f40994ab340071", size = 176765, upload-time = "2025-10-14T16:32:19.491Z" },
+    { url = "https://files.pythonhosted.org/packages/d6/4c/04aa46ff386532cb5f08ee495c2bf07303e93c0acf2fa13850e031347372/hiredis-3.3.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:2213c7eb8ad5267434891f3241c7776e3bafd92b5933fc57d53d4456247dc542", size = 170312, upload-time = "2025-10-14T16:32:20.404Z" },
+    { url = "https://files.pythonhosted.org/packages/90/6e/67f9d481c63f542a9cf4c9f0ea4e5717db0312fb6f37fb1f78f3a66de93c/hiredis-3.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:a172bae3e2837d74530cd60b06b141005075db1b814d966755977c69bd882ce8", size = 167965, upload-time = "2025-10-14T16:32:21.259Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/df/dde65144d59c3c0d85e43255798f1fa0c48d413e668cfd92b3d9f87924ef/hiredis-3.3.0-cp312-cp312-win32.whl", hash = "sha256:cb91363b9fd6d41c80df9795e12fffbaf5c399819e6ae8120f414dedce6de068", size = 20533, upload-time = "2025-10-14T16:32:22.192Z" },
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     { url = "https://files.pythonhosted.org/packages/45/58/38b5afbc1a800eeea951b9285d3912613f2603bdf897a4ab0f4bd7f405fc/python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104", size = 24546, upload-time = "2024-12-16T19:45:44.423Z" },
 ]
 
+[[package]]
+name = "python-ulid"
+version = "1.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/e8/8b/0580d8ee0a73a3f3869488856737c429cbaa08b63c3506275f383c4771a8/python-ulid-1.1.0.tar.gz", hash = "sha256:5fb5e4a91db8ca93e8938a613360b3def299b60d41f847279a8c39c9b2e9c65e", size = 19992, upload-time = "2022-03-10T15:11:41.968Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/89/8e/c30b08ee9b8dc9b4a10e782c2a7fd5de55388201ddebfe0f7ab99dfbb349/python_ulid-1.1.0-py3-none-any.whl", hash = "sha256:88c952f6be133dbede19c907d72d26717d2691ec8421512b573144794d891e24", size = 9360, upload-time = "2022-03-10T15:11:40.405Z" },
+]
+
 [[package]]
 name = "pywin32"
 version = "311"
@@ -1449,6 +1538,38 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ef/33/d8df6a2b214ffbe4138db9a1efe3248f67dc3c671f82308bea1582ecbbb7/qdrant_client-1.15.1-py3-none-any.whl", hash = "sha256:2b975099b378382f6ca1cfb43f0d59e541be6e16a5892f282a4b8de7eff5cb63", size = 337331, upload-time = "2025-07-31T19:35:17.539Z" },
 ]
 
+[[package]]
+name = "redis"
+version = "5.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pyjwt" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/6a/cf/128b1b6d7086200c9f387bd4be9b2572a30b90745ef078bd8b235042dc9f/redis-5.3.1.tar.gz", hash = "sha256:ca49577a531ea64039b5a36db3d6cd1a0c7a60c34124d46924a45b956e8cf14c", size = 4626200, upload-time = "2025-07-25T08:06:27.778Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7f/26/5c5fa0e83c3621db835cfc1f1d789b37e7fa99ed54423b5f519beb931aa7/redis-5.3.1-py3-none-any.whl", hash = "sha256:dc1909bd24669cc31b5f67a039700b16ec30571096c5f1f0d9d2324bff31af97", size = 272833, upload-time = "2025-07-25T08:06:26.317Z" },
+]
+
+[[package]]
+name = "redis-om"
+version = "0.3.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "hiredis" },
+    { name = "more-itertools" },
+    { name = "pydantic" },
+    { name = "python-ulid" },
+    { name = "redis" },
+    { name = "setuptools" },
+    { name = "types-redis" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/11/32/9bdcb86b88f5b53fd9f80019a62970ded91e4befb65c03fee17bdb2bc9f0/redis_om-0.3.5.tar.gz", hash = "sha256:fd152ccebc9b47604287a347628ef0d2c0051c13d5653f121193e801bb1cc4a7", size = 78939, upload-time = "2025-04-04T12:54:51.465Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e4/60/2cc6753c2c36a2a5dded8c380c6cad67a26c5878cd7aad56de2eee1d63c8/redis_om-0.3.5-py3-none-any.whl", hash = "sha256:99ab40f696028ce47c5e2eb5118a1ffc1fd193005428df89c8cf77ad35a0177a", size = 86634, upload-time = "2025-04-04T12:54:50.07Z" },
+]
+
 [[package]]
 name = "regex"
 version = "2025.11.3"
@@ -1566,6 +1687,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/64/8d/0133e4eb4beed9e425d9a98ed6e081a55d195481b7632472be1af08d2f6b/rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762", size = 34696, upload-time = "2025-04-16T09:51:17.142Z" },
 ]
 
+[[package]]
+name = "setuptools"
+version = "80.9.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/18/5d/3bf57dcd21979b887f014ea83c24ae194cfcd12b9e0fda66b957c69d1fca/setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c", size = 1319958, upload-time = "2025-05-27T00:56:51.443Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922", size = 1201486, upload-time = "2025-05-27T00:56:49.664Z" },
+]
+
 [[package]]
 name = "shapely"
 version = "2.1.2"
@@ -1716,6 +1846,53 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2", size = 78540, upload-time = "2024-11-24T20:12:19.698Z" },
 ]
 
+[[package]]
+name = "types-cffi"
+version = "1.17.0.20250915"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "types-setuptools" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2a/98/ea454cea03e5f351323af6a482c65924f3c26c515efd9090dede58f2b4b6/types_cffi-1.17.0.20250915.tar.gz", hash = "sha256:4362e20368f78dabd5c56bca8004752cc890e07a71605d9e0d9e069dbaac8c06", size = 17229, upload-time = "2025-09-15T03:01:25.31Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/aa/ec/092f2b74b49ec4855cdb53050deb9699f7105b8fda6fe034c0781b8687f3/types_cffi-1.17.0.20250915-py3-none-any.whl", hash = "sha256:cef4af1116c83359c11bb4269283c50f0688e9fc1d7f0eeb390f3661546da52c", size = 20112, upload-time = "2025-09-15T03:01:24.187Z" },
+]
+
+[[package]]
+name = "types-pyopenssl"
+version = "24.1.0.20240722"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "types-cffi" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/93/29/47a346550fd2020dac9a7a6d033ea03fccb92fa47c726056618cc889745e/types-pyOpenSSL-24.1.0.20240722.tar.gz", hash = "sha256:47913b4678a01d879f503a12044468221ed8576263c1540dcb0484ca21b08c39", size = 8458, upload-time = "2024-07-22T02:32:22.558Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/98/05/c868a850b6fbb79c26f5f299b768ee0adc1f9816d3461dcf4287916f655b/types_pyOpenSSL-24.1.0.20240722-py3-none-any.whl", hash = "sha256:6a7a5d2ec042537934cfb4c9d4deb0e16c4c6250b09358df1f083682fe6fda54", size = 7499, upload-time = "2024-07-22T02:32:21.232Z" },
+]
+
+[[package]]
+name = "types-redis"
+version = "4.6.0.20241004"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+    { name = "types-pyopenssl" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3a/95/c054d3ac940e8bac4ca216470c80c26688a0e79e09f520a942bb27da3386/types-redis-4.6.0.20241004.tar.gz", hash = "sha256:5f17d2b3f9091ab75384153bfa276619ffa1cf6a38da60e10d5e6749cc5b902e", size = 49679, upload-time = "2024-10-04T02:43:59.224Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/55/82/7d25dce10aad92d2226b269bce2f85cfd843b4477cd50245d7d40ecf8f89/types_redis-4.6.0.20241004-py3-none-any.whl", hash = "sha256:ef5da68cb827e5f606c8f9c0b49eeee4c2669d6d97122f301d3a55dc6a63f6ed", size = 58737, upload-time = "2024-10-04T02:43:57.968Z" },
+]
+
+[[package]]
+name = "types-setuptools"
+version = "80.9.0.20250822"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/19/bd/1e5f949b7cb740c9f0feaac430e301b8f1c5f11a81e26324299ea671a237/types_setuptools-80.9.0.20250822.tar.gz", hash = "sha256:070ea7716968ec67a84c7f7768d9952ff24d28b65b6594797a464f1b3066f965", size = 41296, upload-time = "2025-08-22T03:02:08.771Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b6/2d/475bf15c1cdc172e7a0d665b6e373ebfb1e9bf734d3f2f543d668b07a142/types_setuptools-80.9.0.20250822-py3-none-any.whl", hash = "sha256:53bf881cb9d7e46ed12c76ef76c0aaf28cfe6211d3fab12e0b83620b1a8642c3", size = 63179, upload-time = "2025-08-22T03:02:07.643Z" },
+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.15.0"

docker-compose.yml

@@ -6,8 +6,6 @@ services:
     volumes:
       - ./frontend:/app
       - /app/node_modules
-    environment:
-      - VITE_API_URL=http://localhost:8000
     depends_on:
       - backend
     networks:
@@ -20,8 +18,19 @@ services:
     ports:
       - "8000:8000"
     volumes:
-      - ./backend:/app
+      - ./backend/app:/app/app
-      - /app/.venv
+      - ./backend/.secrets:/app/.secrets
+    env_file:
+      - .env
+    networks:
+      - app-network
+
+  db:
+    # docker run -p 6379:6379 -p 8001:8001 redis/redis-stack
+    image: redis/redis-stack:latest
+    ports:
+      - 6379:6379
+      - 8001:8001
     networks:
       - app-network
 

frontend/src/components/Dashboard.tsx

@@ -324,22 +324,22 @@ export function Dashboard({ onProcessingChange }: DashboardProps = {}) {
       </div>
       <Tabs defaultValue="files" className="flex flex-col flex-1">
         <div className="border-b border-gray-200 px-6 py-2">
-          <TabsList className="flex h-10 items-center gap-2 bg-transparent p-0 justify-start">
+          <TabsList className="flex h-10 w-full items-center gap-2 bg-transparent p-0 justify-start">
             <TabsTrigger
               value="dashboard"
-              className="rounded-md px-4 py-2 text-sm font-medium text-gray-600 transition data-[state=active]:bg-black data-[state=active]:text-white data-[state=active]:shadow-lg data-[state=active]:ring-0 data-[state=active]:shadow-black/30"
+              className="rounded-md px-4 py-2 text-sm font-medium text-gray-600 transition data-[state=active]:bg-gray-900 data-[state=active]:text-white data-[state=active]:shadow"
             >
               Dashboard
             </TabsTrigger>
             <TabsTrigger
               value="files"
-              className="rounded-md px-4 py-2 text-sm font-medium text-gray-600 transition data-[state=active]:bg-black data-[state=active]:text-white data-[state=active]:shadow-lg data-[state=active]:ring-0 data-[state=active]:shadow-black/30"
+              className="rounded-md px-4 py-2 text-sm font-medium text-gray-600 transition data-[state=active]:bg-gray-900 data-[state=active]:text-white data-[state=active]:shadow"
             >
               Files
             </TabsTrigger>
             <TabsTrigger
               value="chat"
-              className="rounded-md px-4 py-2 text-sm font-medium text-gray-600 transition data-[state=active]:bg-black data-[state=active]:text-white data-[state=active]:shadow-lg data-[state=active]:ring-0 data-[state=active]:shadow-black/30"
+              className="rounded-md px-4 py-2 text-sm font-medium text-gray-600 transition data-[state=active]:bg-gray-900 data-[state=active]:text-white data-[state=active]:shadow"
             >
               Chat
             </TabsTrigger>

frontend/src/components/Sidebar.tsx

@@ -10,6 +10,7 @@ import {
   ChevronLeft,
   ChevronRight,
   RefreshCcw,
+  Plus,
 } from "lucide-react";
 import { cn } from "@/lib/utils";
 import {
@@ -18,6 +19,16 @@ import {
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/ui/tooltip";
+import {
+  Dialog,
+  DialogContent,
+  DialogDescription,
+  DialogFooter,
+  DialogHeader,
+  DialogTitle,
+} from "@/components/ui/dialog";
+import { Input } from "@/components/ui/input";
+import { Label } from "@/components/ui/label";
 
 interface SidebarProps {
   onNavigateToSchemas?: () => void;
@@ -42,6 +53,10 @@ export function Sidebar({
   } = useFileStore();
 
   const [deletingTema, setDeletingTema] = useState<string | null>(null);
+  const [createDialogOpen, setCreateDialogOpen] = useState(false);
+  const [newDataroomName, setNewDataroomName] = useState("");
+  const [creatingDataroom, setCreatingDataroom] = useState(false);
+  const [createError, setCreateError] = useState<string | null>(null);
 
   const renderWithTooltip = (label: string, element: ReactElement) => {
     if (!collapsed) {
@@ -58,6 +73,51 @@ export function Sidebar({
     );
   };
 
+  const handleCreateDialogOpenChange = (open: boolean) => {
+    setCreateDialogOpen(open);
+    if (!open) {
+      setNewDataroomName("");
+      setCreateError(null);
+    }
+  };
+
+  const handleCreateDataroom = async () => {
+    const trimmed = newDataroomName.trim();
+    if (!trimmed) {
+      setCreateError("El nombre es obligatorio");
+      return;
+    }
+
+    setCreatingDataroom(true);
+    setCreateError(null);
+
+    try {
+      console.log("Creating dataroom:", trimmed);
+      const result = await api.createDataroom({ name: trimmed });
+      console.log("Dataroom created successfully:", result);
+
+      // Refresh the datarooms list (this will load all datarooms including the new one)
+      console.log("Refreshing dataroom list...");
+      await loadTemas();
+      console.log("Dataroom list refreshed");
+
+      // Select the newly created dataroom
+      setSelectedTema(trimmed);
+
+      // Close dialog and show success
+      handleCreateDialogOpenChange(false);
+    } catch (error) {
+      console.error("Error creating dataroom:", error);
+      setCreateError(
+        error instanceof Error
+          ? error.message
+          : "No se pudo crear el dataroom. Inténtalo nuevamente.",
+      );
+    } finally {
+      setCreatingDataroom(false);
+    }
+  };
+
   useEffect(() => {
     loadTemas();
   }, []);
@@ -65,10 +125,35 @@ export function Sidebar({
   const loadTemas = async () => {
     try {
       setLoading(true);
-      const response = await api.getTemas();
+      const response = await api.getDatarooms();
-      setTemas(response.temas);
+      console.log("Raw datarooms response:", response);
+
+      // Extract dataroom names from the response with better error handling
+      let dataroomNames: string[] = [];
+      if (response && response.datarooms && Array.isArray(response.datarooms)) {
+        dataroomNames = response.datarooms
+          .filter((dataroom) => dataroom && dataroom.name)
+          .map((dataroom) => dataroom.name);
+      }
+
+      setTemas(dataroomNames);
+      console.log("Loaded datarooms:", dataroomNames);
     } catch (error) {
-      console.error("Error loading temas:", error);
+      console.error("Error loading datarooms:", error);
+      // Fallback to legacy getTemas if dataroom endpoint fails
+      try {
+        console.log("Falling back to legacy getTemas endpoint");
+        const legacyResponse = await api.getTemas();
+        const legacyTemas = Array.isArray(legacyResponse?.temas)
+          ? legacyResponse.temas.filter(Boolean)
+          : [];
+        setTemas(legacyTemas);
+        console.log("Loaded legacy temas:", legacyTemas);
+      } catch (legacyError) {
+        console.error("Error loading legacy temas:", legacyError);
+        // Ensure we always set an array, never undefined or null
+        setTemas([]);
+      }
     } finally {
       setLoading(false);
     }
@@ -85,8 +170,9 @@ export function Sidebar({
     e.stopPropagation(); // Evitar que se seleccione el tema al hacer clic en el icono
 
     const confirmed = window.confirm(
-      `¿Estás seguro de que deseas eliminar el tema "${tema}"?\n\n` +
+      `¿Estás seguro de que deseas eliminar el dataroom "${tema}"?\n\n` +
         `Esto eliminará:\n` +
+        `• El dataroom de la base de datos\n` +
         `• Todos los archivos del tema en Azure Blob Storage\n` +
         `• La colección "${tema}" en Qdrant (si existe)\n\n` +
         `Esta acción no se puede deshacer.`,
@@ -97,35 +183,44 @@ export function Sidebar({
     try {
       setDeletingTema(tema);
 
-      // 1. Eliminar todos los archivos del tema en Azure Blob Storage
+      // 1. Delete the dataroom (this will also delete the vector collection)
-      await api.deleteTema(tema);
-
-      // 2. Intentar eliminar la colección en Qdrant (si existe)
       try {
-        const collectionExists = await api.checkCollectionExists(tema);
+        await api.deleteDataroom(tema);
-        if (collectionExists.exists) {
+        console.log(`Dataroom "${tema}" deleted successfully`);
-          await api.deleteCollection(tema);
-          console.log(`Colección "${tema}" eliminada de Qdrant`);
-        }
       } catch (error) {
-        console.warn(
+        console.error(`Error deleting dataroom "${tema}":`, error);
-          `No se pudo eliminar la colección "${tema}" de Qdrant:`,
+        // If dataroom deletion fails, fall back to legacy deletion
-          error,
+        console.log("Falling back to legacy deletion methods");
-        );
+
-        // Continuar aunque falle la eliminación de la colección
+        // Eliminar todos los archivos del tema en Azure Blob Storage
+        await api.deleteTema(tema);
+
+        // Intentar eliminar la colección en Qdrant (si existe)
+        try {
+          const collectionExists = await api.checkCollectionExists(tema);
+          if (collectionExists.exists) {
+            await api.deleteCollection(tema);
+            console.log(`Colección "${tema}" eliminada de Qdrant`);
+          }
+        } catch (collectionError) {
+          console.warn(
+            `No se pudo eliminar la colección "${tema}" de Qdrant:`,
+            collectionError,
+          );
+        }
       }
 
-      // 3. Actualizar la lista de temas
+      // 2. Actualizar la lista de temas
       await loadTemas();
 
-      // 4. Si el tema eliminado estaba seleccionado, deseleccionar
+      // 3. Si el tema eliminado estaba seleccionado, deseleccionar
       if (selectedTema === tema) {
         setSelectedTema(null);
       }
     } catch (error) {
-      console.error(`Error eliminando tema "${tema}":`, error);
+      console.error(`Error eliminando dataroom "${tema}":`, error);
       alert(
-        `Error al eliminar el tema: ${error instanceof Error ? error.message : "Error desconocido"}`,
+        `Error al eliminar el dataroom: ${error instanceof Error ? error.message : "Error desconocido"}`,
       );
     } finally {
       setDeletingTema(null);
@@ -174,14 +269,39 @@ export function Sidebar({
         {/* Temas List */}
         <div className={cn("flex-1 overflow-y-auto p-4", collapsed && "px-2")}>
           <div className="space-y-1">
-            <h2
+            <div
               className={cn(
-                "text-sm font-medium text-gray-500 mb-3",
+                "mb-3 flex items-center",
-                collapsed && "text-xs text-center",
+                collapsed ? "justify-center" : "justify-between",
               )}
             >
-              {collapsed ? "Coll." : "Collections"}
+              <h2
-            </h2>
+                className={cn(
+                  "text-sm font-medium text-gray-500",
+                  collapsed && "text-xs text-center",
+                )}
+              >
+                {collapsed ? "Rooms" : "Datarooms"}
+              </h2>
+              {renderWithTooltip(
+                "Crear dataroom",
+                <Button
+                  variant="outline"
+                  size="sm"
+                  className={cn(
+                    "gap-2",
+                    collapsed
+                      ? "h-10 w-10 p-0 justify-center rounded-full"
+                      : "",
+                  )}
+                  onClick={() => handleCreateDialogOpenChange(true)}
+                  disabled={disabled || creatingDataroom}
+                >
+                  <Plus className="h-4 w-4" />
+                  {!collapsed && <span>Crear dataroom</span>}
+                </Button>,
+              )}
+            </div>
 
             {/* Todos los archivos */}
             {renderWithTooltip(
@@ -207,7 +327,7 @@ export function Sidebar({
               <div className="text-sm text-gray-500 px-3 py-2 text-center">
                 {collapsed ? "..." : "Cargando..."}
               </div>
-            ) : (
+            ) : Array.isArray(temas) && temas.length > 0 ? (
               temas.map((tema) => (
                 <div key={tema} className="relative group">
                   {renderWithTooltip(
@@ -234,13 +354,19 @@ export function Sidebar({
                       onClick={(e) => handleDeleteTema(tema, e)}
                       disabled={deletingTema === tema || disabled}
                       className="absolute right-2 top-1/2 -translate-y-1/2 p-1.5 rounded hover:bg-red-100 opacity-0 group-hover:opacity-100 transition-opacity disabled:opacity-50"
-                      title="Eliminar tema y colección"
+                      title="Eliminar dataroom y colección"
                     >
                       <Trash2 className="h-4 w-4 text-red-600" />
                     </button>
                   )}
                 </div>
               ))
+            ) : (
+              <div className="text-sm text-gray-500 px-3 py-2 text-center">
+                {Array.isArray(temas) && temas.length === 0
+                  ? "No hay datarooms"
+                  : "Cargando datarooms..."}
+              </div>
             )}
           </div>
         </div>
@@ -272,7 +398,7 @@ export function Sidebar({
               </Button>,
             )}
           {renderWithTooltip(
-            "Actualizar temas",
+            "Actualizar datarooms",
             <Button
               variant="outline"
               size="sm"
@@ -285,12 +411,63 @@ export function Sidebar({
             >
               <RefreshCcw className={cn("mr-2 h-4 w-4", collapsed && "mr-0")} />
               <span className={cn(collapsed && "sr-only")}>
-                Actualizar temas
+                Actualizar datarooms
               </span>
             </Button>,
           )}
         </div>
       </div>
+      <Dialog
+        open={createDialogOpen}
+        onOpenChange={handleCreateDialogOpenChange}
+      >
+        <DialogContent
+          className="max-w-sm"
+          aria-describedby="create-dataroom-description"
+        >
+          <DialogHeader>
+            <DialogTitle>Crear dataroom</DialogTitle>
+            <DialogDescription id="create-dataroom-description">
+              Define un nombre único para organizar tus archivos.
+            </DialogDescription>
+          </DialogHeader>
+          <div className="space-y-3">
+            <div className="space-y-2">
+              <Label htmlFor="dataroom-name">Nombre del dataroom</Label>
+              <Input
+                id="dataroom-name"
+                value={newDataroomName}
+                onChange={(e) => {
+                  setNewDataroomName(e.target.value);
+                  if (createError) {
+                    setCreateError(null);
+                  }
+                }}
+                placeholder="Ej: normativa, contratos, fiscal..."
+                autoFocus
+              />
+              {createError && (
+                <p className="text-sm text-red-500">{createError}</p>
+              )}
+            </div>
+          </div>
+          <DialogFooter className="mt-4">
+            <Button
+              variant="outline"
+              onClick={() => handleCreateDialogOpenChange(false)}
+              disabled={creatingDataroom}
+            >
+              Cancelar
+            </Button>
+            <Button
+              onClick={handleCreateDataroom}
+              disabled={creatingDataroom || newDataroomName.trim() === ""}
+            >
+              {creatingDataroom ? "Creando..." : "Crear dataroom"}
+            </Button>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
     </TooltipProvider>
   );
 }

frontend/src/services/api.ts

@@ -1,191 +1,275 @@
-const API_BASE_URL = 'http://localhost:8000/api/v1'
+const API_BASE_URL = "/api/v1";
 
 interface FileUploadResponse {
-  success: boolean
+  success: boolean;
-  message: string
+  message: string;
   file?: {
-    name: string
+    name: string;
-    full_path: string
+    full_path: string;
-    tema: string
+    tema: string;
-    size: number
+    size: number;
-    last_modified: string
+    last_modified: string;
-    url?: string
+    url?: string;
-  }
+  };
 }
 
 interface FileListResponse {
   files: Array<{
-    name: string
+    name: string;
-    full_path: string
+    full_path: string;
-    tema: string
+    tema: string;
-    size: number
+    size: number;
-    last_modified: string
+    last_modified: string;
-    content_type?: string
+    content_type?: string;
-  }>
+  }>;
-  total: number
+  total: number;
-  tema?: string
+  tema?: string;
 }
 
 interface TemasResponse {
-  temas: string[]
+  temas: string[];
-  total: number
+  total: number;
+}
+
+interface DataroomsResponse {
+  datarooms: Array<{
+    name: string;
+    collection: string;
+    storage: string;
+  }>;
+}
+
+interface CreateDataroomRequest {
+  name: string;
+  collection?: string;
+  storage?: string;
 }
 
 // API calls
 export const api = {
-  // Obtener todos los temas
+  // Obtener todos los temas (legacy)
   getTemas: async (): Promise<TemasResponse> => {
-    const response = await fetch(`${API_BASE_URL}/files/temas`)
+    const response = await fetch(`${API_BASE_URL}/files/temas`);
-    if (!response.ok) throw new Error('Error fetching temas')
+    if (!response.ok) throw new Error("Error fetching temas");
-    return response.json()
+    return response.json();
+  },
+
+  // Obtener todos los datarooms
+  getDatarooms: async (): Promise<DataroomsResponse> => {
+    console.log("Fetching datarooms from:", `${API_BASE_URL}/dataroom/`);
+    const response = await fetch(`${API_BASE_URL}/dataroom/`);
+    console.log("Datarooms response status:", response.status);
+    if (!response.ok) {
+      const errorText = await response.text();
+      console.error("Datarooms fetch error:", errorText);
+      throw new Error("Error fetching datarooms");
+    }
+    const data = await response.json();
+    console.log("Datarooms API response:", data);
+    return data;
+  },
+
+  // Crear un nuevo dataroom
+  createDataroom: async (
+    data: CreateDataroomRequest,
+  ): Promise<{
+    message: string;
+    dataroom: {
+      name: string;
+      collection: string;
+      storage: string;
+    };
+  }> => {
+    const response = await fetch(`${API_BASE_URL}/dataroom/`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify(data),
+    });
+    if (!response.ok) throw new Error("Error creating dataroom");
+    return response.json();
+  },
+
+  // Eliminar un dataroom
+  deleteDataroom: async (
+    dataroomName: string,
+  ): Promise<{
+    message: string;
+    dataroom_name: string;
+  }> => {
+    const response = await fetch(
+      `${API_BASE_URL}/dataroom/${encodeURIComponent(dataroomName)}`,
+      {
+        method: "DELETE",
+      },
+    );
+    if (!response.ok) throw new Error("Error deleting dataroom");
+    return response.json();
   },
 
   // Obtener archivos (todos o por tema)
   getFiles: async (tema?: string): Promise<FileListResponse> => {
     const url = tema
       ? `${API_BASE_URL}/files/?tema=${encodeURIComponent(tema)}`
-      : `${API_BASE_URL}/files/`
+      : `${API_BASE_URL}/files/`;
 
-    const response = await fetch(url)
+    const response = await fetch(url);
-    if (!response.ok) throw new Error('Error fetching files')
+    if (!response.ok) throw new Error("Error fetching files");
-    return response.json()
+    return response.json();
   },
 
   // Subir archivo
-  uploadFile: async (file: File, tema?: string): Promise<FileUploadResponse> => {
+  uploadFile: async (
-    const formData = new FormData()
+    file: File,
-    formData.append('file', file)
+    tema?: string,
-    if (tema) formData.append('tema', tema)
+  ): Promise<FileUploadResponse> => {
+    const formData = new FormData();
+    formData.append("file", file);
+    if (tema) formData.append("tema", tema);
 
     const response = await fetch(`${API_BASE_URL}/files/upload`, {
-      method: 'POST',
+      method: "POST",
       body: formData,
-    })
+    });
 
-    if (!response.ok) throw new Error('Error uploading file')
+    if (!response.ok) throw new Error("Error uploading file");
-    return response.json()
+    return response.json();
   },
 
   // Eliminar archivo
   deleteFile: async (filename: string, tema?: string): Promise<void> => {
     const url = tema
       ? `${API_BASE_URL}/files/${encodeURIComponent(filename)}?tema=${encodeURIComponent(tema)}`
-      : `${API_BASE_URL}/files/${encodeURIComponent(filename)}`
+      : `${API_BASE_URL}/files/${encodeURIComponent(filename)}`;
 
-    const response = await fetch(url, { method: 'DELETE' })
+    const response = await fetch(url, { method: "DELETE" });
-    if (!response.ok) throw new Error('Error deleting file')
+    if (!response.ok) throw new Error("Error deleting file");
   },
 
   // Eliminar múltiples archivos
   deleteFiles: async (filenames: string[], tema?: string): Promise<void> => {
     const response = await fetch(`${API_BASE_URL}/files/delete-batch`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
-      },
-      body: JSON.stringify({
-        files: filenames,
-        tema: tema
-      }),
-    })
-    
-    if (!response.ok) throw new Error('Error deleting files')
-  },
-
-   // Eliminar tema completo
-  deleteTema: async (tema: string): Promise<void> => {
-    const response = await fetch(`${API_BASE_URL}/files/tema/${encodeURIComponent(tema)}/delete-all`, {
-      method: 'DELETE'
-    })
-    
-    if (!response.ok) throw new Error('Error deleting tema')
-  },
-
-   // Descargar archivo individual
-  downloadFile: async (filename: string, tema?: string): Promise<void> => {
-    const url = tema 
-      ? `${API_BASE_URL}/files/${encodeURIComponent(filename)}/download?tema=${encodeURIComponent(tema)}`
-      : `${API_BASE_URL}/files/${encodeURIComponent(filename)}/download`
-    
-    const response = await fetch(url)
-    if (!response.ok) throw new Error('Error downloading file')
-    
-    // Crear blob y descargar
-    const blob = await response.blob()
-    const downloadUrl = window.URL.createObjectURL(blob)
-    const link = document.createElement('a')
-    link.href = downloadUrl
-    link.download = filename
-    document.body.appendChild(link)
-    link.click()
-    document.body.removeChild(link)
-    window.URL.revokeObjectURL(downloadUrl)
-  },
-
-  // Descargar múltiples archivos como ZIP
-  downloadMultipleFiles: async (filenames: string[], tema?: string, zipName?: string): Promise<void> => {
-    const response = await fetch(`${API_BASE_URL}/files/download-batch`, {
-      method: 'POST',
-      headers: {
-        'Content-Type': 'application/json',
       },
       body: JSON.stringify({
         files: filenames,
         tema: tema,
-        zip_name: zipName || 'archivos'
       }),
-    })
+    });
 
-    if (!response.ok) throw new Error('Error downloading files')
+    if (!response.ok) throw new Error("Error deleting files");
+  },
+
+  // Eliminar tema completo
+  deleteTema: async (tema: string): Promise<void> => {
+    const response = await fetch(
+      `${API_BASE_URL}/files/tema/${encodeURIComponent(tema)}/delete-all`,
+      {
+        method: "DELETE",
+      },
+    );
+
+    if (!response.ok) throw new Error("Error deleting tema");
+  },
+
+  // Descargar archivo individual
+  downloadFile: async (filename: string, tema?: string): Promise<void> => {
+    const url = tema
+      ? `${API_BASE_URL}/files/${encodeURIComponent(filename)}/download?tema=${encodeURIComponent(tema)}`
+      : `${API_BASE_URL}/files/${encodeURIComponent(filename)}/download`;
+
+    const response = await fetch(url);
+    if (!response.ok) throw new Error("Error downloading file");
+
+    // Crear blob y descargar
+    const blob = await response.blob();
+    const downloadUrl = window.URL.createObjectURL(blob);
+    const link = document.createElement("a");
+    link.href = downloadUrl;
+    link.download = filename;
+    document.body.appendChild(link);
+    link.click();
+    document.body.removeChild(link);
+    window.URL.revokeObjectURL(downloadUrl);
+  },
+
+  // Descargar múltiples archivos como ZIP
+  downloadMultipleFiles: async (
+    filenames: string[],
+    tema?: string,
+    zipName?: string,
+  ): Promise<void> => {
+    const response = await fetch(`${API_BASE_URL}/files/download-batch`, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify({
+        files: filenames,
+        tema: tema,
+        zip_name: zipName || "archivos",
+      }),
+    });
+
+    if (!response.ok) throw new Error("Error downloading files");
 
     // Crear blob y descargar ZIP
-    const blob = await response.blob()
+    const blob = await response.blob();
-    const downloadUrl = window.URL.createObjectURL(blob)
+    const downloadUrl = window.URL.createObjectURL(blob);
-    const link = document.createElement('a')
+    const link = document.createElement("a");
-    link.href = downloadUrl
+    link.href = downloadUrl;
 
     // Obtener nombre del archivo del header Content-Disposition
-    const contentDisposition = response.headers.get('Content-Disposition')
+    const contentDisposition = response.headers.get("Content-Disposition");
-    const filename = contentDisposition?.split('filename=')[1]?.replace(/"/g, '') || 'archivos.zip'
+    const filename =
+      contentDisposition?.split("filename=")[1]?.replace(/"/g, "") ||
+      "archivos.zip";
 
-    link.download = filename
+    link.download = filename;
-    document.body.appendChild(link)
+    document.body.appendChild(link);
-    link.click()
+    link.click();
-    document.body.removeChild(link)
+    document.body.removeChild(link);
-    window.URL.revokeObjectURL(downloadUrl)
+    window.URL.revokeObjectURL(downloadUrl);
   },
 
   // Descargar tema completo
   downloadTema: async (tema: string): Promise<void> => {
-    const response = await fetch(`${API_BASE_URL}/files/tema/${encodeURIComponent(tema)}/download-all`)
+    const response = await fetch(
-    if (!response.ok) throw new Error('Error downloading tema')
+      `${API_BASE_URL}/files/tema/${encodeURIComponent(tema)}/download-all`,
+    );
+    if (!response.ok) throw new Error("Error downloading tema");
 
-    const blob = await response.blob()
+    const blob = await response.blob();
-    const downloadUrl = window.URL.createObjectURL(blob)
+    const downloadUrl = window.URL.createObjectURL(blob);
-    const link = document.createElement('a')
+    const link = document.createElement("a");
-    link.href = downloadUrl
+    link.href = downloadUrl;
 
-    const contentDisposition = response.headers.get('Content-Disposition')
+    const contentDisposition = response.headers.get("Content-Disposition");
-    const filename = contentDisposition?.split('filename=')[1]?.replace(/"/g, '') || `${tema}.zip`
+    const filename =
+      contentDisposition?.split("filename=")[1]?.replace(/"/g, "") ||
+      `${tema}.zip`;
 
-    link.download = filename
+    link.download = filename;
-    document.body.appendChild(link)
+    document.body.appendChild(link);
-    link.click()
+    link.click();
-    document.body.removeChild(link)
+    document.body.removeChild(link);
-    window.URL.revokeObjectURL(downloadUrl)
+    window.URL.revokeObjectURL(downloadUrl);
   },
 
   // Obtener URL temporal para preview de archivos
   getPreviewUrl: async (filename: string, tema?: string): Promise<string> => {
     const url = tema
       ? `${API_BASE_URL}/files/${encodeURIComponent(filename)}/preview-url?tema=${encodeURIComponent(tema)}`
-      : `${API_BASE_URL}/files/${encodeURIComponent(filename)}/preview-url`
+      : `${API_BASE_URL}/files/${encodeURIComponent(filename)}/preview-url`;
 
-    const response = await fetch(url)
+    const response = await fetch(url);
-    if (!response.ok) throw new Error('Error getting preview URL')
+    if (!response.ok) throw new Error("Error getting preview URL");
 
-    const data = await response.json()
+    const data = await response.json();
-    return data.url
+    return data.url;
   },
 
   // ============================================================================
@@ -193,139 +277,178 @@ export const api = {
   // ============================================================================
 
   // Health check de la base de datos vectorial
-  vectorHealthCheck: async (): Promise<{ status: string; db_type: string; message: string }> => {
+  vectorHealthCheck: async (): Promise<{
-    const response = await fetch(`${API_BASE_URL}/vectors/health`)
+    status: string;
-    if (!response.ok) throw new Error('Error checking vector DB health')
+    db_type: string;
-    return response.json()
+    message: string;
+  }> => {
+    const response = await fetch(`${API_BASE_URL}/vectors/health`);
+    if (!response.ok) throw new Error("Error checking vector DB health");
+    return response.json();
   },
 
   // Verificar si una colección existe
-  checkCollectionExists: async (collectionName: string): Promise<{ exists: boolean; collection_name: string }> => {
+  checkCollectionExists: async (
+    collectionName: string,
+  ): Promise<{ exists: boolean; collection_name: string }> => {
     const response = await fetch(`${API_BASE_URL}/vectors/collections/exists`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
       },
       body: JSON.stringify({ collection_name: collectionName }),
-    })
+    });
-    if (!response.ok) throw new Error('Error checking collection')
+    if (!response.ok) throw new Error("Error checking collection");
-    return response.json()
+    return response.json();
   },
 
   // Crear una nueva colección
   createCollection: async (
     collectionName: string,
     vectorSize: number = 3072,
-    distance: string = 'Cosine'
+    distance: string = "Cosine",
-  ): Promise<{ success: boolean; collection_name: string; message: string }> => {
+  ): Promise<{
+    success: boolean;
+    collection_name: string;
+    message: string;
+  }> => {
     const response = await fetch(`${API_BASE_URL}/vectors/collections/create`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
       },
       body: JSON.stringify({
         collection_name: collectionName,
         vector_size: vectorSize,
         distance: distance,
       }),
-    })
+    });
     if (!response.ok) {
-      const error = await response.json()
+      const error = await response.json();
-      throw new Error(error.detail || 'Error creating collection')
+      throw new Error(error.detail || "Error creating collection");
     }
-    return response.json()
+    return response.json();
   },
 
   // Eliminar una colección
-  deleteCollection: async (collectionName: string): Promise<{ success: boolean; collection_name: string; message: string }> => {
+  deleteCollection: async (
-    const response = await fetch(`${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}`, {
+    collectionName: string,
-      method: 'DELETE',
+  ): Promise<{
-    })
+    success: boolean;
-    if (!response.ok) throw new Error('Error deleting collection')
+    collection_name: string;
-    return response.json()
+    message: string;
+  }> => {
+    const response = await fetch(
+      `${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}`,
+      {
+        method: "DELETE",
+      },
+    );
+    if (!response.ok) throw new Error("Error deleting collection");
+    return response.json();
   },
 
   // Obtener información de una colección
-  getCollectionInfo: async (collectionName: string): Promise<{
+  getCollectionInfo: async (
-    name: string
+    collectionName: string,
-    vectors_count: number
+  ): Promise<{
-    vectors_config: { size: number; distance: string }
+    name: string;
-    status: string
+    vectors_count: number;
+    vectors_config: { size: number; distance: string };
+    status: string;
   }> => {
-    const response = await fetch(`${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}/info`)
+    const response = await fetch(
-    if (!response.ok) throw new Error('Error getting collection info')
+      `${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}/info`,
-    return response.json()
+    );
+    if (!response.ok) throw new Error("Error getting collection info");
+    return response.json();
   },
 
   // Verificar si un archivo existe en una colección
   checkFileExistsInCollection: async (
     collectionName: string,
-    fileName: string
+    fileName: string,
-  ): Promise<{ exists: boolean; collection_name: string; file_name: string; chunk_count?: number }> => {
+  ): Promise<{
+    exists: boolean;
+    collection_name: string;
+    file_name: string;
+    chunk_count?: number;
+  }> => {
     const response = await fetch(`${API_BASE_URL}/vectors/files/exists`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
       },
       body: JSON.stringify({
         collection_name: collectionName,
         file_name: fileName,
       }),
-    })
+    });
-    if (!response.ok) throw new Error('Error checking file in collection')
+    if (!response.ok) throw new Error("Error checking file in collection");
-    return response.json()
+    return response.json();
   },
 
   // Obtener chunks de un archivo
   getChunksByFile: async (
     collectionName: string,
     fileName: string,
-    limit?: number
+    limit?: number,
   ): Promise<{
-    collection_name: string
+    collection_name: string;
-    file_name: string
+    file_name: string;
-    chunks: Array<{ id: string; payload: any; vector?: number[] }>
+    chunks: Array<{ id: string; payload: any; vector?: number[] }>;
-    total_chunks: number
+    total_chunks: number;
   }> => {
     const url = limit
       ? `${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}/files/${encodeURIComponent(fileName)}/chunks?limit=${limit}`
-      : `${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}/files/${encodeURIComponent(fileName)}/chunks`
+      : `${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}/files/${encodeURIComponent(fileName)}/chunks`;
 
-    const response = await fetch(url)
+    const response = await fetch(url);
-    if (!response.ok) throw new Error('Error getting chunks')
+    if (!response.ok) throw new Error("Error getting chunks");
-    return response.json()
+    return response.json();
   },
 
   // Eliminar archivo de colección
   deleteFileFromCollection: async (
     collectionName: string,
-    fileName: string
+    fileName: string,
-  ): Promise<{ success: boolean; collection_name: string; file_name: string; chunks_deleted: number; message: string }> => {
+  ): Promise<{
+    success: boolean;
+    collection_name: string;
+    file_name: string;
+    chunks_deleted: number;
+    message: string;
+  }> => {
     const response = await fetch(
       `${API_BASE_URL}/vectors/collections/${encodeURIComponent(collectionName)}/files/${encodeURIComponent(fileName)}`,
-      { method: 'DELETE' }
+      { method: "DELETE" },
-    )
+    );
-    if (!response.ok) throw new Error('Error deleting file from collection')
+    if (!response.ok) throw new Error("Error deleting file from collection");
-    return response.json()
+    return response.json();
   },
 
   // Agregar chunks a una colección
   addChunks: async (
     collectionName: string,
-    chunks: Array<{ id: string; vector: number[]; payload: any }>
+    chunks: Array<{ id: string; vector: number[]; payload: any }>,
-  ): Promise<{ success: boolean; collection_name: string; chunks_added: number; message: string }> => {
+  ): Promise<{
+    success: boolean;
+    collection_name: string;
+    chunks_added: number;
+    message: string;
+  }> => {
     const response = await fetch(`${API_BASE_URL}/vectors/chunks/add`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
       },
       body: JSON.stringify({
         collection_name: collectionName,
         chunks: chunks,
       }),
-    })
+    });
-    if (!response.ok) throw new Error('Error adding chunks')
+    if (!response.ok) throw new Error("Error adding chunks");
-    return response.json()
+    return response.json();
   },
 
   // ============================================================================
@@ -335,89 +458,89 @@ export const api = {
   // Obtener perfiles de chunking predefinidos
   getChunkingProfiles: async (): Promise<{
     profiles: Array<{
-      id: string
+      id: string;
-      name: string
+      name: string;
-      description: string
+      description: string;
-      max_tokens: number
+      max_tokens: number;
-      target_tokens: number
+      target_tokens: number;
-      chunk_size: number
+      chunk_size: number;
-      chunk_overlap: number
+      chunk_overlap: number;
-      use_llm: boolean
+      use_llm: boolean;
-    }>
+    }>;
   }> => {
-    const response = await fetch(`${API_BASE_URL}/chunking/profiles`)
+    const response = await fetch(`${API_BASE_URL}/chunking/profiles`);
-    if (!response.ok) throw new Error('Error fetching chunking profiles')
+    if (!response.ok) throw new Error("Error fetching chunking profiles");
-    return response.json()
+    return response.json();
   },
 
   // Generar preview de chunks (hasta 3 chunks)
   generateChunkPreview: async (config: {
-    file_name: string
+    file_name: string;
-    tema: string
+    tema: string;
-    max_tokens?: number
+    max_tokens?: number;
-    target_tokens?: number
+    target_tokens?: number;
-    chunk_size?: number
+    chunk_size?: number;
-    chunk_overlap?: number
+    chunk_overlap?: number;
-    use_llm?: boolean
+    use_llm?: boolean;
-    custom_instructions?: string
+    custom_instructions?: string;
   }): Promise<{
-    success: boolean
+    success: boolean;
-    file_name: string
+    file_name: string;
-    tema: string
+    tema: string;
     chunks: Array<{
-      index: number
+      index: number;
-      text: string
+      text: string;
-      page: number
+      page: number;
-      file_name: string
+      file_name: string;
-      tokens: number
+      tokens: number;
-    }>
+    }>;
-    message: string
+    message: string;
   }> => {
     const response = await fetch(`${API_BASE_URL}/chunking/preview`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
       },
       body: JSON.stringify(config),
-    })
+    });
     if (!response.ok) {
-      const error = await response.json()
+      const error = await response.json();
-      throw new Error(error.detail || 'Error generating preview')
+      throw new Error(error.detail || "Error generating preview");
     }
-    return response.json()
+    return response.json();
   },
 
   // Procesar PDF completo
   processChunkingFull: async (config: {
-    file_name: string
+    file_name: string;
-    tema: string
+    tema: string;
-    collection_name: string
+    collection_name: string;
-    max_tokens?: number
+    max_tokens?: number;
-    target_tokens?: number
+    target_tokens?: number;
-    chunk_size?: number
+    chunk_size?: number;
-    chunk_overlap?: number
+    chunk_overlap?: number;
-    use_llm?: boolean
+    use_llm?: boolean;
-    custom_instructions?: string
+    custom_instructions?: string;
   }): Promise<{
-    success: boolean
+    success: boolean;
-    collection_name: string
+    collection_name: string;
-    file_name: string
+    file_name: string;
-    total_chunks: number
+    total_chunks: number;
-    chunks_added: number
+    chunks_added: number;
-    message: string
+    message: string;
   }> => {
     const response = await fetch(`${API_BASE_URL}/chunking/process`, {
-      method: 'POST',
+      method: "POST",
       headers: {
-        'Content-Type': 'application/json',
+        "Content-Type": "application/json",
       },
       body: JSON.stringify(config),
-    })
+    });
     if (!response.ok) {
-      const error = await response.json()
+      const error = await response.json();
-      throw new Error(error.detail || 'Error processing PDF')
+      throw new Error(error.detail || "Error processing PDF");
     }
-    return response.json()
+    return response.json();
   },
 
   // ============================================================================
@@ -427,62 +550,62 @@ export const api = {
   // Crear schema
   createSchema: async (schema: any): Promise<any> => {
     const response = await fetch(`${API_BASE_URL}/schemas/`, {
-      method: 'POST',
+      method: "POST",
-      headers: { 'Content-Type': 'application/json' },
+      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify(schema)
+      body: JSON.stringify(schema),
-    })
+    });
     if (!response.ok) {
-      const error = await response.json()
+      const error = await response.json();
-      throw new Error(error.detail?.message || 'Error creando schema')
+      throw new Error(error.detail?.message || "Error creando schema");
     }
-    return response.json()
+    return response.json();
   },
 
   // Listar schemas
   listSchemas: async (tema?: string): Promise<any[]> => {
     const url = tema
       ? `${API_BASE_URL}/schemas/?tema=${encodeURIComponent(tema)}`
-      : `${API_BASE_URL}/schemas/`
+      : `${API_BASE_URL}/schemas/`;
-    const response = await fetch(url)
+    const response = await fetch(url);
-    if (!response.ok) throw new Error('Error listando schemas')
+    if (!response.ok) throw new Error("Error listando schemas");
-    return response.json()
+    return response.json();
   },
 
   // Obtener schema por ID
   getSchema: async (schema_id: string): Promise<any> => {
-    const response = await fetch(`${API_BASE_URL}/schemas/${schema_id}`)
+    const response = await fetch(`${API_BASE_URL}/schemas/${schema_id}`);
-    if (!response.ok) throw new Error('Error obteniendo schema')
+    if (!response.ok) throw new Error("Error obteniendo schema");
-    return response.json()
+    return response.json();
   },
 
   // Actualizar schema
   updateSchema: async (schema_id: string, schema: any): Promise<any> => {
     const response = await fetch(`${API_BASE_URL}/schemas/${schema_id}`, {
-      method: 'PUT',
+      method: "PUT",
-      headers: { 'Content-Type': 'application/json' },
+      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify(schema)
+      body: JSON.stringify(schema),
-    })
+    });
-    if (!response.ok) throw new Error('Error actualizando schema')
+    if (!response.ok) throw new Error("Error actualizando schema");
-    return response.json()
+    return response.json();
   },
 
   // Eliminar schema
   deleteSchema: async (schema_id: string): Promise<void> => {
     const response = await fetch(`${API_BASE_URL}/schemas/${schema_id}`, {
-      method: 'DELETE'
+      method: "DELETE",
-    })
+    });
-    if (!response.ok) throw new Error('Error eliminando schema')
+    if (!response.ok) throw new Error("Error eliminando schema");
   },
 
   // Validar schema
   validateSchema: async (schema: any): Promise<any> => {
     const response = await fetch(`${API_BASE_URL}/schemas/validate`, {
-      method: 'POST',
+      method: "POST",
-      headers: { 'Content-Type': 'application/json' },
+      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify(schema)
+      body: JSON.stringify(schema),
-    })
+    });
-    if (!response.ok) throw new Error('Error validando schema')
+    if (!response.ok) throw new Error("Error validando schema");
-    return response.json()
+    return response.json();
   },
 
   // ============================================================================
@@ -491,25 +614,24 @@ export const api = {
 
   // Procesar con LandingAI
   processWithLandingAI: async (config: {
-    file_name: string
+    file_name: string;
-    tema: string
+    tema: string;
-    collection_name: string
+    collection_name: string;
-    mode: 'quick' | 'extract'
+    mode: "quick" | "extract";
-    schema_id?: string
+    schema_id?: string;
-    include_chunk_types?: string[]
+    include_chunk_types?: string[];
-    max_tokens_per_chunk?: number
+    max_tokens_per_chunk?: number;
-    merge_small_chunks?: boolean
+    merge_small_chunks?: boolean;
   }): Promise<any> => {
     const response = await fetch(`${API_BASE_URL}/chunking-landingai/process`, {
-      method: 'POST',
+      method: "POST",
-      headers: { 'Content-Type': 'application/json' },
+      headers: { "Content-Type": "application/json" },
-      body: JSON.stringify(config)
+      body: JSON.stringify(config),
-    })
+    });
     if (!response.ok) {
-      const error = await response.json()
+      const error = await response.json();
-      throw new Error(error.detail || 'Error procesando con LandingAI')
+      throw new Error(error.detail || "Error procesando con LandingAI");
     }
-    return response.json()
+    return response.json();
   },
-
+};
-}

frontend/vite.config.ts

@@ -1,12 +1,21 @@
-import { defineConfig } from 'vite'
+import { defineConfig } from "vite";
-import react from '@vitejs/plugin-react'
+import react from "@vitejs/plugin-react";
-import path from 'path'
+import path from "path";
 
 export default defineConfig({
   plugins: [react()],
   resolve: {
     alias: {
-      '@': path.resolve(__dirname, './src'),
+      "@": path.resolve(__dirname, "./src"),
     },
   },
-})
+  server: {
+    proxy: {
+      "/api": {
+        target: "http://backend:8000",
+        changeOrigin: true,
+        secure: false,
+      },
+    },
+  },
+});