Files
mem0/configs/vector_stores/cassandra.py
2026-03-06 21:11:10 +08:00

78 lines
2.9 KiB
Python

from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field, model_validator
class CassandraConfig(BaseModel):
"""Configuration for Apache Cassandra vector database."""
contact_points: List[str] = Field(
...,
description="List of contact point addresses (e.g., ['127.0.0.1', '127.0.0.2'])"
)
port: int = Field(9042, description="Cassandra port")
username: Optional[str] = Field(None, description="Database username")
password: Optional[str] = Field(None, description="Database password")
keyspace: str = Field("mem0", description="Keyspace name")
collection_name: str = Field("memories", description="Table name")
embedding_model_dims: int = Field(1536, description="Dimensions of the embedding model")
secure_connect_bundle: Optional[str] = Field(
None,
description="Path to secure connect bundle for DataStax Astra DB"
)
protocol_version: int = Field(4, description="CQL protocol version")
load_balancing_policy: Optional[Any] = Field(
None,
description="Custom load balancing policy object"
)
@model_validator(mode="before")
@classmethod
def check_auth(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate authentication parameters."""
username = values.get("username")
password = values.get("password")
# Both username and password must be provided together or not at all
if (username and not password) or (password and not username):
raise ValueError(
"Both 'username' and 'password' must be provided together for authentication"
)
return values
@model_validator(mode="before")
@classmethod
def check_connection_config(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate connection configuration."""
secure_connect_bundle = values.get("secure_connect_bundle")
contact_points = values.get("contact_points")
# Either secure_connect_bundle or contact_points must be provided
if not secure_connect_bundle and not contact_points:
raise ValueError(
"Either 'contact_points' or 'secure_connect_bundle' must be provided"
)
return values
@model_validator(mode="before")
@classmethod
def validate_extra_fields(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Validate that no extra fields are provided."""
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
class Config:
arbitrary_types_allowed = True