29 lines
1.2 KiB
Python
29 lines
1.2 KiB
Python
from typing import Any, Dict, Optional
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from pydantic import BaseModel, ConfigDict, Field, model_validator
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class S3VectorsConfig(BaseModel):
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vector_bucket_name: str = Field(description="Name of the S3 Vector bucket")
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collection_name: str = Field("mem0", description="Name of the vector index")
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embedding_model_dims: int = Field(1536, description="Dimension of the embedding vector")
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distance_metric: str = Field(
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"cosine",
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description="Distance metric for similarity search. Options: 'cosine', 'euclidean'",
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)
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region_name: Optional[str] = Field(None, description="AWS region for the S3 Vectors client")
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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 = ConfigDict(arbitrary_types_allowed=True)
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