Files
Memoh/internal/handlers/embeddings.go
T
BBQ 02b33c8e85 refactor(core): finalize user-centric identity and policy cleanup
Unify auth and chat identity semantics around user_id, enforce personal-bot owner-only authorization, and remove legacy compatibility branches in integration tests.
2026-02-11 15:49:38 +08:00

148 lines
4.4 KiB
Go

package handlers
import (
"log/slog"
"net/http"
"strings"
"time"
"github.com/labstack/echo/v4"
"github.com/memohai/memoh/internal/auth"
"github.com/memohai/memoh/internal/db/sqlc"
"github.com/memohai/memoh/internal/embeddings"
"github.com/memohai/memoh/internal/models"
)
const DefaultEmbeddingTimeout = 10 * time.Second
type EmbeddingsHandler struct {
resolver *embeddings.Resolver
logger *slog.Logger
}
type EmbeddingsRequest struct {
Type string `json:"type"`
Provider string `json:"provider,omitempty"`
Model string `json:"model,omitempty"`
Dimensions int `json:"dimensions,omitempty"`
Input EmbeddingsInput `json:"input"`
}
type EmbeddingsInput struct {
Text string `json:"text,omitempty"`
ImageURL string `json:"image_url,omitempty"`
VideoURL string `json:"video_url,omitempty"`
}
type EmbeddingsResponse struct {
Type string `json:"type"`
Provider string `json:"provider"`
Model string `json:"model"`
Dimensions int `json:"dimensions"`
Embedding []float32 `json:"embedding"`
Usage EmbeddingsUsage `json:"usage,omitempty"`
Message string `json:"message,omitempty"`
}
type EmbeddingsUsage struct {
InputTokens int `json:"input_tokens,omitempty"`
ImageTokens int `json:"image_tokens,omitempty"`
VideoTokens int `json:"video_tokens,omitempty"`
}
func NewEmbeddingsHandler(log *slog.Logger, modelsService *models.Service, queries *sqlc.Queries) *EmbeddingsHandler {
return &EmbeddingsHandler{
resolver: embeddings.NewResolver(log, modelsService, queries, DefaultEmbeddingTimeout),
logger: log.With(slog.String("handler", "embeddings")),
}
}
func (h *EmbeddingsHandler) Register(e *echo.Echo) {
e.POST("/embeddings", h.Embed)
}
// Embed godoc
// @Summary Create embeddings
// @Description Create text or multimodal embeddings
// @Tags embeddings
// @Param payload body EmbeddingsRequest true "Embeddings request"
// @Success 200 {object} EmbeddingsResponse
// @Failure 400 {object} ErrorResponse
// @Failure 501 {object} EmbeddingsResponse
// @Failure 500 {object} ErrorResponse
// @Router /embeddings [post]
func (h *EmbeddingsHandler) Embed(c echo.Context) error {
var req EmbeddingsRequest
if err := c.Bind(&req); err != nil {
return echo.NewHTTPError(http.StatusBadRequest, err.Error())
}
req.Type = normalizeEmbeddingValue(req.Type)
req.Provider = normalizeEmbeddingValue(req.Provider)
req.Model = strings.TrimSpace(req.Model)
req.Input.Text = strings.TrimSpace(req.Input.Text)
req.Input.ImageURL = strings.TrimSpace(req.Input.ImageURL)
req.Input.VideoURL = strings.TrimSpace(req.Input.VideoURL)
userID := ""
if c.Get("user") != nil {
if value, err := auth.UserIDFromContext(c); err == nil {
userID = value
}
}
result, err := h.resolver.Embed(c.Request().Context(), embeddings.Request{
Type: req.Type,
Provider: req.Provider,
Model: req.Model,
Dimensions: req.Dimensions,
Input: embeddings.Input{
Text: req.Input.Text,
ImageURL: req.Input.ImageURL,
VideoURL: req.Input.VideoURL,
},
ChannelIdentityID: userID,
})
if err != nil {
message := err.Error()
switch message {
case "no embedding models available":
return echo.NewHTTPError(http.StatusNotFound, message)
case "embedding model not found":
return echo.NewHTTPError(http.StatusBadRequest, message)
case "provider not implemented":
resp := EmbeddingsResponse{
Type: req.Type,
Provider: req.Provider,
Model: req.Model,
Dimensions: req.Dimensions,
Embedding: []float32{},
Message: "embeddings provider not implemented",
}
return c.JSON(http.StatusNotImplemented, resp)
default:
if strings.Contains(message, "required") || strings.Contains(message, "invalid") {
return echo.NewHTTPError(http.StatusBadRequest, message)
}
return echo.NewHTTPError(http.StatusInternalServerError, message)
}
}
return c.JSON(http.StatusOK, EmbeddingsResponse{
Type: result.Type,
Provider: result.Provider,
Model: result.Model,
Dimensions: result.Dimensions,
Embedding: result.Embedding,
Usage: EmbeddingsUsage{
InputTokens: result.Usage.InputTokens,
ImageTokens: result.Usage.ImageTokens,
VideoTokens: result.Usage.VideoTokens,
},
})
}
func normalizeEmbeddingValue(value string) string {
return strings.ToLower(strings.TrimSpace(value))
}