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This commit is contained in:
Anibal Angulo
2025-11-06 17:16:30 -06:00
parent c5e0a451c0
commit 314a876744
8 changed files with 486 additions and 186 deletions
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13
backend/app/main.py
View File

@@ -7,24 +7,19 @@ from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from .core.config import settings
from .routers.agent import router as agent_router
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.schemas import router as schemas_router
from .routers.vectors import router as vectors_router
# from routers.ai import router as ai_router # futuro con Azure OpenAI
# Import config
# Configurar logging
logging.basicConfig(
level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
level=logging.WARNING, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
logging.getLogger("app").setLevel(logging.INFO)
logger = logging.getLogger(__name__)
@@ -130,6 +125,8 @@ app.include_router(chunking_landingai_router)
app.include_router(dataroom_router, prefix="/api/v1")
app.include_router(agent_router)
# Router para IA
# app.include_router(
# ai_router,

24
backend/app/routers/agent.py Normal file
View File

@@ -0,0 +1,24 @@
from fastapi import APIRouter
from pydantic_ai import Agent
from pydantic_ai.models.openai import OpenAIChatModel
from pydantic_ai.providers.azure import AzureProvider
from pydantic_ai.ui.vercel_ai import VercelAIAdapter
from starlette.requests import Request
from starlette.responses import Response
from app.core.config import settings
provider = AzureProvider(
azure_endpoint=settings.AZURE_OPENAI_ENDPOINT,
api_version=settings.AZURE_OPENAI_API_VERSION,
api_key=settings.AZURE_OPENAI_API_KEY,
)
model = OpenAIChatModel(model_name="gpt-4o", provider=provider)
agent = Agent(model=model)
router = APIRouter(prefix="/api/v1/agent", tags=["Agent"])
@router.post("/chat")
async def chat(request: Request) -> Response:
return await VercelAIAdapter.dispatch_request(request, agent=agent)

299
backend/app/services/azure_service.py
View File

@@ -1,9 +1,17 @@
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, generate_blob_sas, BlobSasPermissions
from azure.core.exceptions import ResourceNotFoundError, ResourceExistsError
from typing import List, Optional, BinaryIO
import logging
from datetime import datetime, timezone, timedelta
import os
from datetime import datetime, timedelta, timezone
from typing import BinaryIO, List, Optional
from azure.core.exceptions import ResourceExistsError, ResourceNotFoundError
from azure.storage.blob import (
BlobClient,
BlobSasPermissions,
BlobServiceClient,
ContainerClient,
generate_blob_sas,
)
from ..core.config import settings
logger = logging.getLogger(__name__)
@@ -13,7 +21,7 @@ class AzureBlobService:
"""
Servicio para interactuar con Azure Blob Storage
"""
def __init__(self):
"""Inicializar el cliente de Azure Blob Storage"""
try:
@@ -21,7 +29,9 @@ class AzureBlobService:
settings.AZURE_STORAGE_CONNECTION_STRING
)
self.container_name = settings.AZURE_CONTAINER_NAME
logger.info(f"Cliente de Azure Blob Storage inicializado para container: {self.container_name}")
logger.info(
f"Cliente de Azure Blob Storage inicializado para container: {self.container_name}"
)
# Configurar CORS automáticamente al inicializar
self._configure_cors()
@@ -45,7 +55,7 @@ class AzureBlobService:
allowed_methods=["GET", "HEAD", "OPTIONS"],
allowed_headers=["*"],
exposed_headers=["*"],
max_age_in_seconds=3600
max_age_in_seconds=3600,
)
# Aplicar la configuración CORS
@@ -55,15 +65,19 @@ class AzureBlobService:
except Exception as e:
# No fallar si CORS no se puede configurar (puede que ya esté configurado)
logger.warning(f"No se pudo configurar CORS automáticamente: {e}")
logger.warning("Asegúrate de configurar CORS manualmente en Azure Portal si es necesario")
logger.warning(
"Asegúrate de configurar CORS manualmente en Azure Portal si es necesario"
)
async def create_container_if_not_exists(self) -> bool:
"""
Crear el container si no existe
Returns: True si se creó, False si ya existía
"""
try:
container_client = self.blob_service_client.get_container_client(self.container_name)
container_client = self.blob_service_client.get_container_client(
self.container_name
)
container_client.create_container()
logger.info(f"Container '{self.container_name}' creado exitosamente")
return True
@@ -73,217 +87,249 @@ class AzureBlobService:
except Exception as e:
logger.error(f"Error creando container: {e}")
raise e
async def upload_file(self, file_data: BinaryIO, blob_name: str, tema: str = "") -> dict:
async def upload_file(
self, file_data: BinaryIO, blob_name: str, tema: str = ""
) -> dict:
"""
Subir un archivo a Azure Blob Storage
Args:
file_data: Datos del archivo
blob_name: Nombre del archivo en el blob
tema: Tema/carpeta donde guardar el archivo
tema: Tema/carpeta donde guardar el archivo (se normaliza a lowercase)
Returns:
dict: Información del archivo subido
"""
try:
# Construir la ruta completa con tema si se proporciona
full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
# Normalizar tema a lowercase para consistencia
tema_normalized = tema.lower() if tema else ""
# Construir la ruta completa con tema normalizado
full_blob_name = (
f"{tema_normalized}/{blob_name}" if tema_normalized else blob_name
)
# Obtener cliente del blob
blob_client = self.blob_service_client.get_blob_client(
container=self.container_name,
blob=full_blob_name
container=self.container_name, blob=full_blob_name
)
# Subir el archivo
blob_client.upload_blob(file_data, overwrite=True)
# Obtener propiedades del blob
blob_properties = blob_client.get_blob_properties()
logger.info(f"Archivo '{full_blob_name}' subido exitosamente")
return {
"name": blob_name,
"full_path": full_blob_name,
"tema": tema,
"tema": tema_normalized,
"size": blob_properties.size,
"last_modified": blob_properties.last_modified,
"url": blob_client.url
"url": blob_client.url,
}
except Exception as e:
logger.error(f"Error subiendo archivo '{blob_name}': {e}")
raise e
async def download_file(self, blob_name: str, tema: str = "") -> bytes:
"""
Descargar un archivo de Azure Blob Storage
Args:
blob_name: Nombre del archivo
tema: Tema/carpeta donde está el archivo
tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
Returns:
bytes: Contenido del archivo
"""
try:
# Construir la ruta completa
full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
# Si se proporciona tema, buscar el archivo de manera case-insensitive
if tema:
full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
else:
full_blob_name = blob_name
# Obtener cliente del blob
blob_client = self.blob_service_client.get_blob_client(
container=self.container_name,
blob=full_blob_name
container=self.container_name, blob=full_blob_name
)
# Descargar el archivo
blob_data = blob_client.download_blob()
content = blob_data.readall()
logger.info(f"Archivo '{full_blob_name}' descargado exitosamente")
return content
except ResourceNotFoundError:
logger.error(f"Archivo '{full_blob_name}' no encontrado")
raise FileNotFoundError(f"El archivo '{blob_name}' no existe")
except Exception as e:
logger.error(f"Error descargando archivo '{blob_name}': {e}")
raise e
async def delete_file(self, blob_name: str, tema: str = "") -> bool:
"""
Eliminar un archivo de Azure Blob Storage
Args:
blob_name: Nombre del archivo
tema: Tema/carpeta donde está el archivo
tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
Returns:
bool: True si se eliminó exitosamente
"""
try:
# Construir la ruta completa
full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
# Si se proporciona tema, buscar el archivo de manera case-insensitive
if tema:
full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
else:
full_blob_name = blob_name
# Obtener cliente del blob
blob_client = self.blob_service_client.get_blob_client(
container=self.container_name,
blob=full_blob_name
container=self.container_name, blob=full_blob_name
)
# Eliminar el archivo
blob_client.delete_blob()
logger.info(f"Archivo '{full_blob_name}' eliminado exitosamente")
return True
except ResourceNotFoundError:
logger.error(f"Archivo '{full_blob_name}' no encontrado para eliminar")
raise FileNotFoundError(f"El archivo '{blob_name}' no existe")
except Exception as e:
logger.error(f"Error eliminando archivo '{blob_name}': {e}")
raise e
async def list_files(self, tema: str = "") -> List[dict]:
"""
Listar archivos en el container o en un tema específico
Args:
tema: Tema/carpeta específica (opcional)
tema: Tema/carpeta específica (opcional) - filtrado case-insensitive
Returns:
List[dict]: Lista de archivos con sus propiedades
"""
try:
container_client = self.blob_service_client.get_container_client(self.container_name)
# Filtrar por tema si se proporciona
name_starts_with = f"{tema}/" if tema else None
blobs = container_client.list_blobs(name_starts_with=name_starts_with)
container_client = self.blob_service_client.get_container_client(
self.container_name
)
# Obtener todos los blobs para hacer filtrado case-insensitive
blobs = container_client.list_blobs()
files = []
tema_lower = tema.lower() if tema else ""
for blob in blobs:
# Extraer información del blob
blob_tema = os.path.dirname(blob.name) if "/" in blob.name else ""
# Filtrar por tema de manera case-insensitive si se proporciona
if tema and blob_tema.lower() != tema_lower:
continue
blob_info = {
"name": os.path.basename(blob.name),
"full_path": blob.name,
"tema": os.path.dirname(blob.name) if "/" in blob.name else "",
"tema": blob_tema,
"size": blob.size,
"last_modified": blob.last_modified,
"content_type": blob.content_settings.content_type if blob.content_settings else None
"content_type": blob.content_settings.content_type
if blob.content_settings
else None,
}
files.append(blob_info)
logger.info(f"Listados {len(files)} archivos" + (f" en tema '{tema}'" if tema else ""))
logger.info(
f"Listados {len(files)} archivos"
+ (f" en tema '{tema}' (case-insensitive)" if tema else "")
)
return files
except Exception as e:
logger.error(f"Error listando archivos: {e}")
raise e
async def get_file_info(self, blob_name: str, tema: str = "") -> dict:
"""
Obtener información de un archivo específico
Args:
blob_name: Nombre del archivo
tema: Tema/carpeta donde está el archivo
tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
Returns:
dict: Información del archivo
"""
try:
# Construir la ruta completa
full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
# Si se proporciona tema, buscar el archivo de manera case-insensitive
if tema:
full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
# Extraer el tema real del path encontrado
real_tema = (
os.path.dirname(full_blob_name) if "/" in full_blob_name else ""
)
else:
full_blob_name = blob_name
real_tema = ""
# Obtener cliente del blob
blob_client = self.blob_service_client.get_blob_client(
container=self.container_name,
blob=full_blob_name
container=self.container_name, blob=full_blob_name
)
# Obtener propiedades
properties = blob_client.get_blob_properties()
return {
"name": blob_name,
"full_path": full_blob_name,
"tema": tema,
"tema": real_tema,
"size": properties.size,
"last_modified": properties.last_modified,
"content_type": properties.content_settings.content_type,
"url": blob_client.url
"url": blob_client.url,
}
except ResourceNotFoundError:
logger.error(f"Archivo '{full_blob_name}' no encontrado")
raise FileNotFoundError(f"El archivo '{blob_name}' no existe")
except Exception as e:
logger.error(f"Error obteniendo info del archivo '{blob_name}': {e}")
raise e
async def get_download_url(self, blob_name: str, tema: str = "") -> str:
"""
Obtener URL de descarga directa para un archivo
Args:
blob_name: Nombre del archivo
tema: Tema/carpeta donde está el archivo
tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
Returns:
str: URL de descarga
"""
try:
# Construir la ruta completa
full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
# Si se proporciona tema, buscar el archivo de manera case-insensitive
if tema:
full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
else:
full_blob_name = blob_name
# Obtener cliente del blob
blob_client = self.blob_service_client.get_blob_client(
container=self.container_name,
blob=full_blob_name
container=self.container_name, blob=full_blob_name
)
return blob_client.url
@@ -292,7 +338,9 @@ class AzureBlobService:
logger.error(f"Error obteniendo URL de descarga para '{blob_name}': {e}")
raise e
async def generate_sas_url(self, blob_name: str, tema: str = "", expiry_hours: int = 1) -> str:
async def generate_sas_url(
self, blob_name: str, tema: str = "", expiry_hours: int = 1
) -> str:
"""
Generar una URL SAS (Shared Access Signature) temporal para acceder a un archivo
@@ -301,7 +349,7 @@ class AzureBlobService:
Args:
blob_name: Nombre del archivo
tema: Tema/carpeta donde está el archivo
tema: Tema/carpeta donde está el archivo (búsqueda case-insensitive)
expiry_hours: Horas de validez de la URL (por defecto 1 hora)
Returns:
@@ -310,13 +358,15 @@ class AzureBlobService:
try:
from azure.storage.blob import ContentSettings
# Construir la ruta completa del blob
full_blob_name = f"{tema}/{blob_name}" if tema else blob_name
# Si se proporciona tema, buscar el archivo de manera case-insensitive
if tema:
full_blob_name = await self._find_blob_case_insensitive(blob_name, tema)
else:
full_blob_name = blob_name
# Obtener cliente del blob
blob_client = self.blob_service_client.get_blob_client(
container=self.container_name,
blob=full_blob_name
container=self.container_name, blob=full_blob_name
)
# Verificar que el archivo existe antes de generar el SAS
@@ -327,11 +377,13 @@ class AzureBlobService:
# Esto hace que el navegador muestre el PDF en lugar de descargarlo
try:
content_settings = ContentSettings(
content_type='application/pdf',
content_disposition='inline' # Clave para mostrar en navegador
content_type="application/pdf",
content_disposition="inline", # Clave para mostrar en navegador
)
blob_client.set_http_headers(content_settings=content_settings)
logger.info(f"Headers configurados para visualización inline de '{full_blob_name}'")
logger.info(
f"Headers configurados para visualización inline de '{full_blob_name}'"
)
except Exception as e:
logger.warning(f"No se pudieron configurar headers inline: {e}")
@@ -342,9 +394,9 @@ class AzureBlobService:
# Extraer la account key del connection string para generar el SAS
# El SAS necesita la account key para firmar el token
account_key = None
for part in settings.AZURE_STORAGE_CONNECTION_STRING.split(';'):
if part.startswith('AccountKey='):
account_key = part.split('=', 1)[1]
for part in settings.AZURE_STORAGE_CONNECTION_STRING.split(";"):
if part.startswith("AccountKey="):
account_key = part.split("=", 1)[1]
break
if not account_key:
@@ -358,13 +410,15 @@ class AzureBlobService:
account_key=account_key,
permission=BlobSasPermissions(read=True), # Solo permisos de lectura
expiry=expiry_time,
start=start_time
start=start_time,
)
# Construir la URL completa con el SAS token
sas_url = f"{blob_client.url}?{sas_token}"
logger.info(f"SAS URL generada para '{full_blob_name}' (válida por {expiry_hours} horas)")
logger.info(
f"SAS URL generada para '{full_blob_name}' (válida por {expiry_hours} horas)"
)
return sas_url
except FileNotFoundError:
@@ -374,6 +428,47 @@ class AzureBlobService:
logger.error(f"Error generando SAS URL para '{blob_name}': {e}")
raise e
async def _find_blob_case_insensitive(self, blob_name: str, tema: str) -> str:
"""
Buscar un blob de manera case-insensitive
Args:
blob_name: Nombre del archivo a buscar
tema: Tema donde buscar (case-insensitive)
Returns:
str: Ruta completa del blob encontrado
Raises:
FileNotFoundError: Si no se encuentra el archivo
"""
try:
container_client = self.blob_service_client.get_container_client(
self.container_name
)
blobs = container_client.list_blobs()
tema_lower = tema.lower()
blob_name_lower = blob_name.lower()
for blob in blobs:
blob_tema = os.path.dirname(blob.name) if "/" in blob.name else ""
current_blob_name = os.path.basename(blob.name)
if (
blob_tema.lower() == tema_lower
and current_blob_name.lower() == blob_name_lower
):
return blob.name
# Si no se encuentra, usar la construcción original para que falle apropiadamente
return f"{tema}/{blob_name}"
except Exception as e:
logger.error(f"Error buscando blob case-insensitive: {e}")
# Fallback a construcción original
return f"{tema}/{blob_name}"
# Instancia global del servicio
azure_service = AzureBlobService()
azure_service = AzureBlobService()

1
backend/pyproject.toml
View File

@@ -28,6 +28,7 @@ dependencies = [
# LandingAI Document AI
"landingai-ade>=0.2.1",
"redis-om>=0.3.5",
"pydantic-ai-slim[google,openai]>=1.11.1",
]
[project.scripts]
dev = "uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload"

111
backend/uv.lock generated
View File

@@ -74,6 +74,7 @@ dependencies = [
{ name = "openai" },
{ name = "pdf2image" },
{ name = "pillow" },
{ name = "pydantic-ai-slim", extra = ["google", "openai"] },
{ name = "pydantic-settings" },
{ name = "pypdf" },
{ name = "python-dotenv" },
@@ -97,6 +98,7 @@ requires-dist = [
{ name = "openai", specifier = ">=1.59.6" },
{ name = "pdf2image", specifier = ">=1.17.0" },
{ name = "pillow", specifier = ">=11.0.0" },
{ name = "pydantic-ai-slim", extras = ["google", "openai"], specifier = ">=1.11.1" },
{ name = "pydantic-settings", specifier = ">=2.10.1" },
{ name = "pypdf", specifier = ">=5.1.0" },
{ name = "python-dotenv", specifier = ">=1.1.1" },
@@ -289,6 +291,19 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/e5/47/d63c60f59a59467fda0f93f46335c9d18526d7071f025cb5b89d5353ea42/fastapi-0.116.1-py3-none-any.whl", hash = "sha256:c46ac7c312df840f0c9e220f7964bada936781bc4e2e6eb71f1c4d7553786565", size = 95631, upload-time = "2025-07-11T16:22:30.485Z" },
]
[[package]]
name = "genai-prices"
version = "0.0.36"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
{ name = "pydantic" },
]
sdist = { url = "https://files.pythonhosted.org/packages/39/e2/45c863fb61cf2d70d948e80d63e4f3db213a957976a2a3564e40ebe8f506/genai_prices-0.0.36.tar.gz", hash = "sha256:1092f5b96168967fa880440dd9dcc9287fd73910b284045f0226a38f628ccbc9", size = 46046, upload-time = "2025-11-05T14:04:13.437Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/16/89/14b4be11b74dd29827bc37b648b0540fcf3bd6530cb48031f1ce7da4594c/genai_prices-0.0.36-py3-none-any.whl", hash = "sha256:7ad39e04fbcdb5cfdc3891e68de6ca1064b6660e06e9ba76fa6f161ff12b32e4", size = 48688, upload-time = "2025-11-05T14:04:12.133Z" },
]
[[package]]
name = "google-api-core"
version = "2.28.1"
@@ -486,6 +501,18 @@ grpc = [
{ name = "grpcio", version = "1.76.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" },
]
[[package]]
name = "griffe"
version = "1.14.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama" },
]
sdist = { url = "https://files.pythonhosted.org/packages/ec/d7/6c09dd7ce4c7837e4cdb11dce980cb45ae3cd87677298dc3b781b6bce7d3/griffe-1.14.0.tar.gz", hash = "sha256:9d2a15c1eca966d68e00517de5d69dd1bc5c9f2335ef6c1775362ba5b8651a13", size = 424684, upload-time = "2025-09-05T15:02:29.167Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/2a/b1/9ff6578d789a89812ff21e4e0f80ffae20a65d5dd84e7a17873fe3b365be/griffe-1.14.0-py3-none-any.whl", hash = "sha256:0e9d52832cccf0f7188cfe585ba962d2674b241c01916d780925df34873bceb0", size = 144439, upload-time = "2025-09-05T15:02:27.511Z" },
]
[[package]]
name = "grpc-google-iam-v1"
version = "0.14.3"
@@ -776,6 +803,18 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" },
]
[[package]]
name = "importlib-metadata"
version = "8.7.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "zipp" },
]
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