Files
ttstd-infinite-canvas/backend/internal/service/channel_model_catalog.go
爱笑的毛毛虫 5088f66e91 fix(canvas): 分镜与视频模型 - 按端点协议适配并修复分镜生成
* fix(backend): 分镜生成 - 自动修复携带原始剧情并支持有界重试

* fix(canvas): 视频模型 - 按端点协议拉取模型并适配分镜视频节点

* fix(canvas): 视频模型 - 保留已有协议并刷新分镜节点模型

* fix(canvas): 引用图预览 - 修正提示面板代码格式

---------

Co-authored-by: sikongyue <3155157671@qq.com>
Co-authored-by: ddCat <2695092045@qq.com>
2026-08-10 01:42:47 +08:00

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package service
import (
"context"
"encoding/json"
"errors"
"fmt"
"net/http"
"sort"
"strings"
"infinite-canvas/backend/internal/model"
)
type ChannelModelsRequest struct {
BaseURL string `json:"baseUrl"`
APIKey string `json:"apiKey"`
APIFormat string `json:"apiFormat"`
Headers []OutboundHeader `json:"headers"`
}
type channelModelsPayload struct {
Data []channelModelItem `json:"data"`
Models []channelModelItem `json:"models"`
Error *providerError `json:"error"`
Code *int `json:"code"`
Msg string `json:"msg"`
}
type channelModelItem struct {
ID string `json:"id"`
Name string `json:"name"`
SupportedEndpointTypes []string `json:"supported_endpoint_types"`
}
func (s *Service) FetchChannelModels(ctx context.Context, actor *model.User, input ChannelModelsRequest) ([]string, error) {
items, err := s.FetchChannelModelCatalog(ctx, actor, input)
if err != nil {
return nil, err
}
seen := make(map[string]bool, len(items))
models := make([]string, 0, len(items))
for _, item := range items {
name := strings.TrimSpace(item.ID)
if name == "" || seen[name] {
continue
}
seen[name] = true
models = append(models, name)
}
sort.Strings(models)
return models, nil
}
// ChannelModelCatalogItem 是前端自定义渠道拉取模型目录后的最小合同;
// supportedEndpointTypes 由上游 /models 返回,前端据此推导能力与协议,不依赖模型名猜测。
type ChannelModelCatalogItem struct {
ID string `json:"id"`
SupportedEndpointTypes []string `json:"supportedEndpointTypes,omitempty"`
}
func (s *Service) FetchChannelModelCatalog(ctx context.Context, actor *model.User, input ChannelModelsRequest) ([]ChannelModelCatalogItem, error) {
if actor == nil || strings.TrimSpace(actor.ID) == "" {
return nil, Unauthorized("请先登录")
}
baseURL := strings.TrimRight(strings.TrimSpace(input.BaseURL), "/")
apiKey := strings.TrimSpace(input.APIKey)
if baseURL == "" {
return nil, BadAuthRequest("请填写 Base URL")
}
if apiKey == "" {
return nil, BadAuthRequest("请填写 API Key")
}
apiFormat := strings.ToLower(strings.TrimSpace(input.APIFormat))
if apiFormat == "" {
apiFormat = "openai"
}
if apiFormat != "openai" && apiFormat != "gemini" {
return nil, BadAuthRequest("接口协议不支持拉取模型")
}
headers, err := NormalizeOutboundHeaders(input.Headers)
if err != nil {
return nil, err
}
target := apiURL(baseURL, "/models")
if apiFormat == "gemini" {
if !strings.HasSuffix(strings.ToLower(baseURL), "/v1beta") {
baseURL += "/v1beta"
}
target = baseURL + "/models"
}
if _, err := ValidateOutboundURL(target); err != nil {
return nil, err
}
request, err := http.NewRequestWithContext(ctx, http.MethodGet, target, nil)
if err != nil {
return nil, BadAuthRequest("模型服务地址无效")
}
if apiFormat == "gemini" {
request.Header.Set("x-goog-api-key", apiKey)
} else {
request.Header.Set("Authorization", "Bearer "+apiKey)
}
ApplyOutboundHeaders(request, headers)
// 只代理固定的模型目录 GET;用户密钥仅用于本次请求,不写入数据库或日志。
data, _, err := doBinary(request)
if err != nil {
return nil, channelModelsUpstreamError(err)
}
var payload channelModelsPayload
if err := json.Unmarshal(data, &payload); err != nil {
return nil, &AuthError{Status: http.StatusBadGateway, Message: "模型服务返回的不是有效 JSON"}
}
if payload.Error != nil && strings.TrimSpace(payload.Error.Message) != "" {
return nil, &AuthError{Status: http.StatusBadGateway, Message: payload.Error.Message}
}
if payload.Code != nil && *payload.Code != 0 {
return nil, &AuthError{Status: http.StatusBadGateway, Message: firstNonEmpty(strings.TrimSpace(payload.Msg), "模型服务返回失败")}
}
items := payload.Data
if apiFormat == "gemini" {
items = payload.Models
}
seen := make(map[string]bool, len(items))
catalog := make([]ChannelModelCatalogItem, 0, len(items))
for _, item := range items {
name := strings.TrimPrefix(strings.TrimSpace(firstNonEmpty(item.ID, item.Name)), "models/")
if name == "" || seen[name] {
continue
}
seen[name] = true
catalog = append(catalog, ChannelModelCatalogItem{ID: name, SupportedEndpointTypes: normalizeCatalogEndpointTypes(item.SupportedEndpointTypes)})
}
sort.Slice(catalog, func(left int, right int) bool {
return catalog[left].ID < catalog[right].ID
})
return catalog, nil
}
func normalizeCatalogEndpointTypes(values []string) []string {
seen := make(map[string]bool, len(values))
normalized := make([]string, 0, len(values))
for _, value := range values {
item := strings.TrimSpace(value)
if item == "" || seen[item] {
continue
}
seen[item] = true
normalized = append(normalized, item)
}
return normalized
}
func channelModelsUpstreamError(err error) error {
var authErr *AuthError
if errors.As(err, &authErr) {
return authErr
}
var httpErr providerHTTPError
if !errors.As(err, &httpErr) {
return &AuthError{Status: http.StatusBadGateway, Message: "连接模型服务失败:" + err.Error()}
}
switch httpErr.StatusCode {
case http.StatusUnauthorized, http.StatusForbidden:
return &AuthError{Status: http.StatusBadGateway, Message: "模型服务鉴权失败,请检查 API Key"}
case http.StatusNotFound:
return &AuthError{Status: http.StatusBadGateway, Message: "模型服务未提供 /models 接口"}
case http.StatusTooManyRequests:
return &AuthError{Status: http.StatusBadGateway, Message: "模型服务请求过于频繁或额度不足"}
default:
return &AuthError{Status: http.StatusBadGateway, Message: fmt.Sprintf("模型服务请求失败:HTTP %d", httpErr.StatusCode)}
}
}