39 lines
1.6 KiB
Python
39 lines
1.6 KiB
Python
from typing import Any, Dict, Optional
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from pydantic import BaseModel, Field, model_validator
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class FAISSConfig(BaseModel):
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collection_name: str = Field("mem0", description="Default name for the collection")
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path: Optional[str] = Field(None, description="Path to store FAISS index and metadata")
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distance_strategy: str = Field(
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"euclidean", description="Distance strategy to use. Options: 'euclidean', 'inner_product', 'cosine'"
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)
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normalize_L2: bool = Field(
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False, description="Whether to normalize L2 vectors (only applicable for euclidean distance)"
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)
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@model_validator(mode="before")
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@classmethod
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def validate_distance_strategy(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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distance_strategy = values.get("distance_strategy")
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if distance_strategy and distance_strategy not in ["euclidean", "inner_product", "cosine"]:
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raise ValueError("Invalid distance_strategy. Must be one of: 'euclidean', 'inner_product', 'cosine'")
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return values
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@model_validator(mode="before")
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@classmethod
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def validate_extra_fields(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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allowed_fields = set(cls.model_fields.keys())
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input_fields = set(values.keys())
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extra_fields = input_fields - allowed_fields
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if extra_fields:
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raise ValueError(
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f"Extra fields not allowed: {', '.join(extra_fields)}. Please input only the following fields: {', '.join(allowed_fields)}"
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)
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return values
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model_config = {
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"arbitrary_types_allowed": True,
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}
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