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a ��Jh� � @ s� d dl mZ d dlZd dlmZ d dlmZ d dlmZ d dl m Z d dl m Z G dd� de�Z G d d � d e�Z G d d � d e�ZeG d d� d��ZG dd� de j�ZdS )� )� annotationsN)� dataclass)�Enum)�Optional)�Floatc @ s e Zd ZdZdZdZdS )�VectorIndexTypez�Enum representing different types of VECTOR index structures. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 �HNSW�IVFN)�__name__� __module__� __qualname__�__doc__r r � r r �V/home/agenciai/.local/lib/python3.9/site-packages/sqlalchemy/dialects/oracle/vector.pyr s r c @ s e Zd ZdZdZdZdZdZdS )�VectorDistanceTypez�Enum representing different types of vector distance metrics. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 � EUCLIDEAN�DOT�COSINE� MANHATTANN)r r r r r r r r r r r r r ( s r c @ s e Zd ZdZdZdZdZdZdS )�VectorStorageFormatz�Enum representing the data format used to store vector components. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 �INT8�BINARY�FLOAT32�FLOAT64N)r r r r r r r r r r r r r G s r c @ s� e Zd ZU dZejZded< dZded< dZ ded< dZ ded < dZ ded < dZ ded < dZ ded < dZded < dZded< dd� ZdS )�VectorIndexConfiga� Define the configuration for Oracle VECTOR Index. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 :param index_type: Enum value from :class:`.VectorIndexType` Specifies the indexing method. For HNSW, this must be :attr:`.VectorIndexType.HNSW`. :param distance: Enum value from :class:`.VectorDistanceType` specifies the metric for calculating distance between VECTORS. :param accuracy: interger. Should be in the range 0 to 100 Specifies the accuracy of the nearest neighbor search during query execution. :param parallel: integer. Specifies degree of parallelism. :param hnsw_neighbors: interger. Should be in the range 0 to 2048. Specifies the number of nearest neighbors considered during the search. The attribute :attr:`.VectorIndexConfig.hnsw_neighbors` is HNSW index specific. :param hnsw_efconstruction: integer. Should be in the range 0 to 65535. Controls the trade-off between indexing speed and recall quality during index construction. The attribute :attr:`.VectorIndexConfig.hnsw_efconstruction` is HNSW index specific. :param ivf_neighbor_partitions: integer. Should be in the range 0 to 10,000,000. Specifies the number of partitions used to divide the dataset. The attribute :attr:`.VectorIndexConfig.ivf_neighbor_partitions` is IVF index specific. :param ivf_sample_per_partition: integer. Should be between 1 and ``num_vectors / neighbor partitions``. Specifies the number of samples used per partition. The attribute :attr:`.VectorIndexConfig.ivf_sample_per_partition` is IVF index specific. :param ivf_min_vectors_per_partition: integer. From 0 (no trimming) to the total number of vectors (results in 1 partition). Specifies the minimum number of vectors per partition. The attribute :attr:`.VectorIndexConfig.ivf_min_vectors_per_partition` is IVF index specific. r � index_typeNz Optional[VectorDistanceType]�distancez Optional[int]�accuracy�hnsw_neighbors�hnsw_efconstruction�ivf_neighbor_partitions�ivf_sample_per_partition� ivf_min_vectors_per_partition�parallelc C sN t | j�| _dD ]8}t| |�}|d urt|t�st|� dt|�j� ���qd S )N)r r r r! r" r# r z$ must be an integer ifprovided, got )r r �getattr� isinstance�int� TypeError�typer )�self�field�valuer r r � __post_init__� s ��z VectorIndexConfig.__post_init__)r r r r r r r �__annotations__r r r r r r! r" r# r, r r r r r b s 2 r c @ sj e Zd ZdZdZd Zejdejdej dej diZ ddd �Z d d � Z d d � Zdd� ZG dd� dejj�ZdS )�VECTORz�Oracle VECTOR datatype. For complete background on using this type, see :ref:`oracle_vector_datatype`. .. versionadded:: 2.0.41 T�b�B�f�dNc C sD |durt |t�std��|dur4t |t�s4td��|| _|| _dS )aP Construct a VECTOR. :param dim: integer. The dimension of the VECTOR datatype. This should be an integer value. :param storage_format: VectorStorageFormat. The VECTOR storage type format. This may be Enum values form :class:`.VectorStorageFormat` INT8, BINARY, FLOAT32, or FLOAT64. Nzdim must be an intergerz:storage_format must be an enum of type VectorStorageFormat)r% r& r' r �dim�storage_format)r) r3 r4 r r r �__init__� s ��zVECTOR.__init__c s � fdd�}|S )zT Convert a list to a array.array before binding it to the database. c sJ | d u st | tj�r| S t | t�r>� �� j�}t�|| �} | S td��d S )Nz$VECTOR accepts list or array.array())r% �array�list�_array_typecoder4 r' )r+ �typecode�r) r r �process� s z.VECTOR._cached_bind_processor.<locals>.processr )r) �dialectr; r r: r �_cached_bind_processor� s z VECTOR._cached_bind_processorc C s dd� }|S )zR Convert a array.array to list before binding it to the database. c S s t | tj�rt| �S d S )N)r% r6 r7 )r+ r r r r; � s z0VECTOR._cached_result_processor.<locals>.processr )r) r< Zcoltyper; r r r �_cached_result_processor� s z VECTOR._cached_result_processorc C s | j �|d�S )z7 Map storage format to array typecode. r2 )� _typecode_map�get)r) r9 r r r r8 � s zVECTOR._array_typecodec @ s$ e Zd Zdd� Zdd� Zdd� ZdS )zVECTOR.comparator_factoryc C s | j dtd�|�S )Nz<->�� return_type��opr �r) �otherr r r � l2_distance s z%VECTOR.comparator_factory.l2_distancec C s | j dtd�|�S )Nz<#>rA rC rE r r r � inner_product s z'VECTOR.comparator_factory.inner_productc C s | j dtd�|�S )Nz<=>rA rC rE r r r �cosine_distance s z)VECTOR.comparator_factory.cosine_distanceN)r r r rG rH rI r r r r �comparator_factory s rJ )NN)r r r r Zcache_okZ__visit_name__r r r r r r? r5 r= r> r8 �types� TypeEngineZ ComparatorrJ r r r r r. � s � r. )� __future__r r6 Z dataclassesr �enumr �typingr Zsqlalchemy.typesrK r r r r r rL r. r r r r �<module> s P
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