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t6_mem0/mem0/configs/vector_stores/weaviate.py
2025-03-11 00:12:17 +05:30

43 lines
1.5 KiB
Python

from typing import Any, ClassVar, Dict, Optional
from pydantic import BaseModel, Field, model_validator
class WeaviateConfig(BaseModel):
from weaviate import WeaviateClient
WeaviateClient: ClassVar[type] = WeaviateClient
collection_name: str = Field("mem0", description="Name of the collection")
embedding_model_dims: int = Field(1536, description="Dimensions of the embedding model")
cluster_url: Optional[str] = Field(None, description="URL for Weaviate server")
auth_client_secret: Optional[str] = Field(None, description="API key for Weaviate authentication")
additional_headers: Optional[Dict[str, str]] = Field(None, description="Additional headers for requests")
@model_validator(mode="before")
@classmethod
def check_connection_params(cls, values: Dict[str, Any]) -> Dict[str, Any]:
cluster_url = values.get("cluster_url")
if not cluster_url:
raise ValueError("'cluster_url' 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)}. Please input only the following fields: {', '.join(allowed_fields)}"
)
return values
model_config = {
"arbitrary_types_allowed": True,
}