bf9a5703b1
Co-authored-by: utkarsh240799 <utkarsh240799@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
46 lines
1.9 KiB
Python
46 lines
1.9 KiB
Python
import os
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from typing import Any, Dict, Optional
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from pydantic import BaseModel, ConfigDict, Field, model_validator
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class TurbopufferConfig(BaseModel):
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collection_name: str = Field("mem0", description="Name of the namespace/collection")
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embedding_model_dims: int = Field(1536, description="Dimensions of the embedding model")
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api_key: Optional[str] = Field(None, description="API key for Turbopuffer")
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region: str = Field("gcp-us-central1", description="Turbopuffer region (e.g., 'gcp-us-central1', 'aws-us-west-2')")
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distance_metric: str = Field(
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"cosine_distance",
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description="Distance metric for vector similarity ('cosine_distance' or 'euclidean_squared')",
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)
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batch_size: int = Field(100, description="Batch size for bulk operations")
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extra_params: Optional[Dict[str, Any]] = Field(
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None,
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description="Additional parameters for Turbopuffer client",
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)
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@model_validator(mode="before")
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@classmethod
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def check_api_key(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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api_key = values.get("api_key")
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if not api_key and "TURBOPUFFER_API_KEY" not in os.environ:
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raise ValueError(
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"Either 'api_key' must be provided or TURBOPUFFER_API_KEY environment variable must be set."
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)
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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)}. "
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f"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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