66 lines
3.1 KiB
Python
66 lines
3.1 KiB
Python
from collections.abc import Callable
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from typing import Any, Dict, List, Optional
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from pydantic import BaseModel, Field, model_validator
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class ElasticsearchConfig(BaseModel):
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collection_name: str = Field("mem0", description="Name of the index")
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host: str = Field("localhost", description="Elasticsearch host")
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port: int = Field(9200, description="Elasticsearch port")
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user: Optional[str] = Field(None, description="Username for authentication")
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password: Optional[str] = Field(None, description="Password for authentication")
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cloud_id: Optional[str] = Field(None, description="Cloud ID for Elastic Cloud")
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api_key: Optional[str] = Field(None, description="API key for authentication")
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embedding_model_dims: int = Field(1536, description="Dimension of the embedding vector")
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verify_certs: bool = Field(True, description="Verify SSL certificates")
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use_ssl: bool = Field(True, description="Use SSL for connection")
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auto_create_index: bool = Field(True, description="Automatically create index during initialization")
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custom_search_query: Optional[Callable[[List[float], int, Optional[Dict]], Dict]] = Field(
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None, description="Custom search query function. Parameters: (query, limit, filters) -> Dict"
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)
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headers: Optional[Dict[str, str]] = Field(None, description="Custom headers to include in requests")
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@model_validator(mode="before")
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@classmethod
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def validate_auth(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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# Check if either cloud_id or host/port is provided
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if not values.get("cloud_id") and not values.get("host"):
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raise ValueError("Either cloud_id or host must be provided")
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# Check if authentication is provided
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if not any([values.get("api_key"), (values.get("user") and values.get("password"))]):
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raise ValueError("Either api_key or user/password must be provided")
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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_headers(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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"""Validate headers format and content"""
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headers = values.get("headers")
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if headers is not None:
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# Check if headers is a dictionary
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if not isinstance(headers, dict):
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raise ValueError("headers must be a dictionary")
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# Check if all keys and values are strings
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for key, value in headers.items():
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if not isinstance(key, str) or not isinstance(value, str):
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raise ValueError("All header keys and values must be strings")
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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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