Files
t6_mem0/mem0/configs/vector_stores/elasticsearch.py
2025-01-13 19:35:38 +05:30

44 lines
2.1 KiB
Python

from typing import Any, Dict, Optional
from pydantic import BaseModel, Field, model_validator
class ElasticsearchConfig(BaseModel):
collection_name: str = Field("mem0", description="Name of the index")
host: str = Field("localhost", description="Elasticsearch host")
port: int = Field(9200, description="Elasticsearch port")
user: Optional[str] = Field(None, description="Username for authentication")
password: Optional[str] = Field(None, description="Password for authentication")
cloud_id: Optional[str] = Field(None, description="Cloud ID for Elastic Cloud")
api_key: Optional[str] = Field(None, description="API key for authentication")
embedding_model_dims: int = Field(1536, description="Dimension of the embedding vector")
verify_certs: bool = Field(True, description="Verify SSL certificates")
use_ssl: bool = Field(True, description="Use SSL for connection")
auto_create_index: bool = Field(True, description="Automatically create index during initialization")
@model_validator(mode="before")
@classmethod
def validate_auth(cls, values: Dict[str, Any]) -> Dict[str, Any]:
# Check if either cloud_id or host/port is provided
if not values.get("cloud_id") and not values.get("host"):
raise ValueError("Either cloud_id or host must be provided")
# Check if authentication is provided
if not any([values.get("api_key"), (values.get("user") and values.get("password"))]):
raise ValueError("Either api_key or user/password must be provided")
return values
@model_validator(mode="before")
@classmethod
def validate_extra_fields(cls, values: Dict[str, Any]) -> Dict[str, Any]:
allowed_fields = set(cls.model_fields.keys())
input_fields = set(values.keys())
extra_fields = input_fields - allowed_fields
if extra_fields:
raise ValueError(
f"Extra fields not allowed: {', '.join(extra_fields)}. "
f"Please input only the following fields: {', '.join(allowed_fields)}"
)
return values