ic

apps/normativa/api/config.py

@@ -0,0 +1,55 @@
+from hvac import Client
+from pydantic import Field
+from pydantic_settings import BaseSettings
+
+client = Client(url="https://vault.ia-innovacion.work")
+
+if not client.is_authenticated():
+    raise Exception("Vault authentication failed")
+
+secret_map = client.secrets.kv.v2.read_secret_version(
+    path="banortegpt", mount_point="secret"
+)["data"]["data"]
+
+class Settings(BaseSettings):
+    # Config básico
+    model: str = "gpt-4o"
+    model_temperature: int = 0
+    message_limit: int = 10
+    host: str = "0.0.0.0"
+    port: int = 8000
+
+    # AGREGAR ESTAS LÍNEAS (igual que OCP):
+    embedding_model: str = "text-embedding-3-large"
+    storage_bucket: str = "normativa-bucket"  # Ajusta el nombre
+    vector_index: str = "MayaNormativaLLM"
+    search_limit: int = 3
+
+    # API Keys existentes
+    azure_endpoint: str = Field(default_factory=lambda: secret_map["azure_endpoint"])
+    openai_api_key: str = Field(default_factory=lambda: secret_map["openai_api_key"])
+    openai_api_version: str = Field(default_factory=lambda: secret_map["openai_api_version"])
+    mongodb_url: str = Field(default_factory=lambda: secret_map["cosmosdb_connection_string"])
+    
+    # AGREGAR ESTAS LÍNEAS (igual que OCP):
+    azure_blob_connection_string: str = Field(
+        default_factory=lambda: secret_map["azure_blob_connection_string"]
+    )
+    qdrant_url: str = Field(default_factory=lambda: secret_map["qdrant_api_url"])
+    qdrant_api_key: str | None = Field(
+        default_factory=lambda: secret_map["qdrant_api_key"]
+    )
+
+    async def init_mongo_db(self):
+        from banortegpt.database.mongo_memory.models import Conversation
+        from beanie import init_beanie
+        from motor.motor_asyncio import AsyncIOMotorClient
+
+        client = AsyncIOMotorClient(self.mongodb_url)
+
+        await init_beanie(
+            database=client.banortegptdos,
+            document_models=[Conversation],
+        )
+
+config = Settings()