package model

import (
	"time"
)

// ArticleEmbedding represents a vector embedding for article search.
// Reference: P2B M9 spec (pg_vector)
type ArticleEmbedding struct {
	ID         uint      `gorm:"primaryKey" json:"id"`
	ArticleID  uint      `gorm:"not null;index" json:"article_id"`
	Embedding  []float64 `gorm:"type:vector(1536)" json:"embedding"`
	Model      string    `gorm:"size:100" json:"model"` // openai/text-embedding-ada-002
	CreatedAt  time.Time `gorm:"autoCreateTime" json:"created_at"`

	Article Article `gorm:"foreignKey:ArticleID" json:"article,omitempty"`
}

func (ArticleEmbedding) TableName() string { return "article_embeddings" }