* test(relayconvert): add golden snapshot matrix and relaykit boundary guard Phase 0 of the relaykit extraction plan: pin byte-level output of every registered (from,to) request/response/stream conversion route, and forbid kit-bound packages from growing host-only imports. * wip(relayconvert): drop gin.Context from converter signatures; add convmeta draft Phase 1 in progress: relayconvert now takes context.Context; host media resolver adapts gin.Context back at the service boundary. * refactor(relayconvert): decouple converters from RelayInfo, gin, and settings Phase 1 of the relaykit extraction plan: - converters now depend on convmeta.Meta (implemented by RelayInfo) instead of *relaycommon.RelayInfo; ClaudeConvertInfo and the format guesser move to convmeta with aliases left behind - host settings reach converters via a convmeta.Options snapshot built in RelayInfo.ConvOptions; no more model_setting/reasoning global reads inside the conversion layer - effort-suffix helpers move to service/relayconvert/reasoning (old package forwards); chat-to-responses upgrade policy moves to service (host routing logic, not conversion) - golden conversion matrix unchanged * test(relayconvert): tighten boundary — kit packages now free of gin/setting imports * refactor(dto): drop gin and logger dependencies Phase 2 (part 1): dto.Request.IsStream now takes *http.Request instead of *gin.Context (Gemini's impl reads query/path off the std request); dto's three logger calls become common.SysError. Boundary test allowlist is now empty — kit-bound packages import no gin/setting/logger/model. * refactor(kit): extract dependency-free kitutil; dto/types/relayconvert stop importing common Phase 2 of the relaykit extraction plan: - new service/relayconvert/kitutil holds the pure helpers the kit needs (JSON wrappers, pointer/string/uuid/timestamp utils, MaskSensitiveInfo, pluggable LogInfo/LogError hooks, Debug flag) - dto, types, and all relayconvert packages now use kitutil; their only remaining internal deps are dto/types/constant - common keeps every original symbol (MaskSensitiveInfo delegates to kitutil) so host code is untouched; main.go routes kit logging into common.SysLog/SysError and mirrors DebugEnabled - golden conversion matrix unchanged * refactor(kit): move EndpointType/FinishReason to types; OpenRouter dialect via Options Kit packages (dto/types/relayconvert/reasonmap) no longer import constant: - EndpointType and finish-reason values live in types; constant re-exports - the OpenRouter special-case in claude->openai request conversion reads Options.OpenRouterDialect, set by the host from the channel type; InitChannelMeta invalidates the cached snapshot on channel switch * refactor: extract relaykit submodule (dto/types/relayconvert/reasonmap) Phase 3 of the relaykit extraction plan: - new go module github.com/QuantumNous/new-api/relaykit containing dto (minus task family), types, relayconvert (with convmeta/kitutil/reasoning), and reasonmap; host consumes it via require + replace, go.work for dev - task-family dto (task/suno/midjourney/video) stays in the host dto package; dual-consumer host files alias it as taskdto - relaykit builds and tests standalone (GOWORK=off): no host imports, no gin, no DB, no settings - golden conversion matrix unchanged * build(docker): copy relaykit/go.mod before go mod download The local-replace submodule's go.mod must exist inside the build context for the main module graph to resolve. * fix: address relaykit extraction regressions * fix: address relaykit review regressions * docs: document Meta nil receiver contract * fix(relaykit): fail OpenAI→Claude conversion without max_tokens; reject negative default_max_tokens The Claude Messages API requires max_tokens (omitting it is a 400 "Field required"), but with a nil Options.Claude.DefaultMaxTokens hook the converters silently emitted a request the upstream is guaranteed to reject. Both OpenAI Chat and Responses → Claude conversions now return sharedclaude.ErrMissingMaxTokens when no path (client value, default hook, thinking-adapter floor) supplied one. Unreachable in the host, which always configures the hook. Host side, claude.default_max_tokens now rejects negative values at the option API before persisting — they would wrap into huge unsigned values during conversion. Zero stays allowed: the current API treats max_tokens: 0 as cache pre-warming. * fix: make Gemini safety settings read path race-free
1064 lines
33 KiB
Go
1064 lines
33 KiB
Go
package controller
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import (
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"math"
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"net/http"
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"net/http/httptest"
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"strconv"
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"strings"
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"time"
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"github.com/QuantumNous/new-api/common"
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"github.com/QuantumNous/new-api/constant"
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"github.com/QuantumNous/new-api/middleware"
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"github.com/QuantumNous/new-api/model"
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"github.com/QuantumNous/new-api/pkg/billingexpr"
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"github.com/QuantumNous/new-api/relay"
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relaycommon "github.com/QuantumNous/new-api/relay/common"
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relayconstant "github.com/QuantumNous/new-api/relay/constant"
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"github.com/QuantumNous/new-api/relay/helper"
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"github.com/QuantumNous/new-api/relaykit/dto"
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"github.com/QuantumNous/new-api/relaykit/types"
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"github.com/QuantumNous/new-api/service"
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"github.com/QuantumNous/new-api/setting/operation_setting"
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"github.com/QuantumNous/new-api/setting/ratio_setting"
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"github.com/samber/lo"
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"github.com/tidwall/gjson"
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"github.com/gin-gonic/gin"
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)
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type testResult struct {
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context *gin.Context
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localErr error
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newAPIError *types.NewAPIError
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}
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func normalizeChannelTestEndpoint(channel *model.Channel, modelName, endpointType string) string {
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normalized := strings.TrimSpace(endpointType)
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if normalized != "" {
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return normalized
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}
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if strings.HasSuffix(modelName, ratio_setting.CompactModelSuffix) {
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return string(constant.EndpointTypeOpenAIResponseCompact)
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}
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if channel != nil && channel.Type == constant.ChannelTypeCodex {
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return string(constant.EndpointTypeOpenAIResponse)
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}
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return normalized
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}
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func resolveChannelTestUserID(c *gin.Context) (int, error) {
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if c != nil {
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if userID := c.GetInt("id"); userID > 0 {
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return userID, nil
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}
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}
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var rootUser model.User
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if err := model.DB.Select("id").Where("role = ?", common.RoleRootUser).First(&rootUser).Error; err != nil {
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return 0, fmt.Errorf("failed to resolve channel test user: %w", err)
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}
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if rootUser.Id == 0 {
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return 0, errors.New("failed to resolve channel test user")
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}
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return rootUser.Id, nil
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}
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func testChannel(ctx context.Context, channel *model.Channel, testUserID int, testModel string, endpointType string, isStream bool) testResult {
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if ctx == nil {
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ctx = context.Background()
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}
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tik := time.Now()
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var unsupportedTestChannelTypes = []int{
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constant.ChannelTypeMidjourney,
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constant.ChannelTypeMidjourneyPlus,
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constant.ChannelTypeSunoAPI,
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constant.ChannelTypeKling,
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constant.ChannelTypeJimeng,
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constant.ChannelTypeDoubaoVideo,
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constant.ChannelTypeVidu,
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}
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if lo.Contains(unsupportedTestChannelTypes, channel.Type) {
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channelTypeName := constant.GetChannelTypeName(channel.Type)
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return testResult{
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localErr: fmt.Errorf("%s channel test is not supported", channelTypeName),
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}
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}
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w := httptest.NewRecorder()
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c, _ := gin.CreateTestContext(w)
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testModel = strings.TrimSpace(testModel)
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if testModel == "" {
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if channel.TestModel != nil && *channel.TestModel != "" {
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testModel = strings.TrimSpace(*channel.TestModel)
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} else {
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models := channel.GetModels()
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if len(models) > 0 {
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testModel = strings.TrimSpace(models[0])
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}
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if testModel == "" {
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testModel = "gpt-4o-mini"
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}
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}
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}
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endpointType = normalizeChannelTestEndpoint(channel, testModel, endpointType)
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requestPath := "/v1/chat/completions"
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// 如果指定了端点类型,使用指定的端点类型
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if endpointType != "" {
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if endpointInfo, ok := common.GetDefaultEndpointInfo(constant.EndpointType(endpointType)); ok {
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requestPath = endpointInfo.Path
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}
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} else {
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// 如果没有指定端点类型,使用原有的自动检测逻辑
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if strings.Contains(strings.ToLower(testModel), "rerank") {
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requestPath = "/v1/rerank"
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}
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// 先判断是否为 Embedding 模型
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if strings.Contains(strings.ToLower(testModel), "embedding") ||
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strings.HasPrefix(testModel, "m3e") || // m3e 系列模型
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strings.Contains(testModel, "bge-") || // bge 系列模型
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strings.Contains(testModel, "embed") ||
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channel.Type == constant.ChannelTypeMokaAI { // 其他 embedding 模型
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requestPath = "/v1/embeddings" // 修改请求路径
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}
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// VolcEngine 图像生成模型
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if channel.Type == constant.ChannelTypeVolcEngine && strings.Contains(testModel, "seedream") {
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requestPath = "/v1/images/generations"
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}
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// responses-only models
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if strings.Contains(strings.ToLower(testModel), "codex") {
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requestPath = "/v1/responses"
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}
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// responses compaction models (must use /v1/responses/compact)
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if strings.HasSuffix(testModel, ratio_setting.CompactModelSuffix) {
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requestPath = "/v1/responses/compact"
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}
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}
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if strings.HasPrefix(requestPath, "/v1/responses/compact") {
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testModel = ratio_setting.WithCompactModelSuffix(testModel)
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}
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c.Request = httptest.NewRequestWithContext(ctx, http.MethodPost, requestPath, nil)
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cache, err := model.GetUserCache(testUserID)
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if err != nil {
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return testResult{
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localErr: err,
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newAPIError: nil,
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}
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}
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cache.WriteContext(c)
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c.Set("id", testUserID)
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//c.Request.Header.Set("Authorization", "Bearer "+channel.Key)
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c.Request.Header.Set("Content-Type", "application/json")
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c.Set("channel", channel.Type)
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c.Set("base_url", channel.GetBaseURL())
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group, _ := model.GetUserGroup(testUserID, false)
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c.Set("group", group)
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newAPIError := middleware.SetupContextForSelectedChannel(c, channel, testModel)
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if newAPIError != nil {
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return testResult{
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context: c,
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localErr: newAPIError,
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newAPIError: newAPIError,
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}
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}
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// Determine relay format based on endpoint type or request path
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var relayFormat types.RelayFormat
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if endpointType != "" {
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// 根据指定的端点类型设置 relayFormat
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switch constant.EndpointType(endpointType) {
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case constant.EndpointTypeOpenAI:
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relayFormat = types.RelayFormatOpenAI
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case constant.EndpointTypeOpenAIResponse:
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relayFormat = types.RelayFormatOpenAIResponses
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case constant.EndpointTypeOpenAIResponseCompact:
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relayFormat = types.RelayFormatOpenAIResponsesCompaction
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case constant.EndpointTypeAnthropic:
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relayFormat = types.RelayFormatClaude
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case constant.EndpointTypeGemini:
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relayFormat = types.RelayFormatGemini
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case constant.EndpointTypeJinaRerank:
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relayFormat = types.RelayFormatRerank
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case constant.EndpointTypeImageGeneration:
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relayFormat = types.RelayFormatOpenAIImage
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case constant.EndpointTypeEmbeddings:
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relayFormat = types.RelayFormatEmbedding
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default:
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relayFormat = types.RelayFormatOpenAI
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}
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} else {
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// 根据请求路径自动检测
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relayFormat = types.RelayFormatOpenAI
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if c.Request.URL.Path == "/v1/embeddings" {
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relayFormat = types.RelayFormatEmbedding
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}
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if c.Request.URL.Path == "/v1/images/generations" {
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relayFormat = types.RelayFormatOpenAIImage
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}
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if c.Request.URL.Path == "/v1/messages" {
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relayFormat = types.RelayFormatClaude
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}
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if strings.Contains(c.Request.URL.Path, "/v1beta/models") {
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relayFormat = types.RelayFormatGemini
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}
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if c.Request.URL.Path == "/v1/rerank" || c.Request.URL.Path == "/rerank" {
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relayFormat = types.RelayFormatRerank
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}
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if c.Request.URL.Path == "/v1/responses" {
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relayFormat = types.RelayFormatOpenAIResponses
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}
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if strings.HasPrefix(c.Request.URL.Path, "/v1/responses/compact") {
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relayFormat = types.RelayFormatOpenAIResponsesCompaction
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}
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}
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request := buildTestRequest(testModel, endpointType, channel, isStream)
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info, err := relaycommon.GenRelayInfo(c, relayFormat, request, nil)
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if err != nil {
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return testResult{
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context: c,
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localErr: err,
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newAPIError: types.NewError(err, types.ErrorCodeGenRelayInfoFailed),
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}
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}
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info.IsChannelTest = true
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info.InitChannelMeta(c)
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err = attachTestBillingRequestInput(info, request)
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if err != nil {
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return testResult{
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context: c,
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localErr: err,
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newAPIError: types.NewError(err, types.ErrorCodeJsonMarshalFailed),
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}
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}
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err = helper.ModelMappedHelper(c, info, request)
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if err != nil {
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return testResult{
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context: c,
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localErr: err,
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newAPIError: types.NewError(err, types.ErrorCodeChannelModelMappedError),
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}
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}
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testModel = info.UpstreamModelName
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// 更新请求中的模型名称
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request.SetModelName(testModel)
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apiType, _ := common.ChannelType2APIType(channel.Type)
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if info.RelayMode == relayconstant.RelayModeResponsesCompact &&
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!common.IsResponsesCompactAPIType(apiType) {
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return testResult{
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context: c,
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localErr: fmt.Errorf("responses compaction test is not supported for api type %d", apiType),
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newAPIError: types.NewError(fmt.Errorf("unsupported api type: %d", apiType), types.ErrorCodeInvalidApiType),
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}
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}
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adaptor := relay.GetAdaptor(apiType)
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if adaptor == nil {
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return testResult{
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context: c,
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localErr: fmt.Errorf("invalid api type: %d, adaptor is nil", apiType),
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newAPIError: types.NewError(fmt.Errorf("invalid api type: %d, adaptor is nil", apiType), types.ErrorCodeInvalidApiType),
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}
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}
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//// 创建一个用于日志的 info 副本,移除 ApiKey
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//logInfo := info
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//logInfo.ApiKey = ""
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common.SysLog(fmt.Sprintf("testing channel %d with model %s , info %+v ", channel.Id, testModel, info.ToString()))
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priceData, err := helper.ModelPriceHelper(c, info, 0, request.GetTokenCountMeta())
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if err != nil {
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return testResult{
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context: c,
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localErr: err,
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newAPIError: types.NewError(err, types.ErrorCodeModelPriceError, types.ErrOptionWithStatusCode(http.StatusBadRequest)),
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}
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}
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adaptor.Init(info)
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var convertedRequest any
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// 根据 RelayMode 选择正确的转换函数
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switch info.RelayMode {
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case relayconstant.RelayModeEmbeddings:
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// Embedding 请求 - request 已经是正确的类型
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if embeddingReq, ok := request.(*dto.EmbeddingRequest); ok {
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convertedRequest, err = adaptor.ConvertEmbeddingRequest(c, info, *embeddingReq)
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} else {
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return testResult{
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context: c,
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localErr: errors.New("invalid embedding request type"),
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newAPIError: types.NewError(errors.New("invalid embedding request type"), types.ErrorCodeConvertRequestFailed),
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}
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}
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case relayconstant.RelayModeImagesGenerations:
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// 图像生成请求 - request 已经是正确的类型
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if imageReq, ok := request.(*dto.ImageRequest); ok {
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convertedRequest, err = adaptor.ConvertImageRequest(c, info, *imageReq)
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} else {
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return testResult{
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context: c,
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localErr: errors.New("invalid image request type"),
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newAPIError: types.NewError(errors.New("invalid image request type"), types.ErrorCodeConvertRequestFailed),
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}
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}
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case relayconstant.RelayModeRerank:
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// Rerank 请求 - request 已经是正确的类型
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if rerankReq, ok := request.(*dto.RerankRequest); ok {
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convertedRequest, err = adaptor.ConvertRerankRequest(c, info.RelayMode, *rerankReq)
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} else {
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return testResult{
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context: c,
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localErr: errors.New("invalid rerank request type"),
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newAPIError: types.NewError(errors.New("invalid rerank request type"), types.ErrorCodeConvertRequestFailed),
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}
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}
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case relayconstant.RelayModeResponses:
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// Response 请求 - request 已经是正确的类型
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if responseReq, ok := request.(*dto.OpenAIResponsesRequest); ok {
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convertedRequest, err = adaptor.ConvertOpenAIResponsesRequest(c, info, *responseReq)
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} else {
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return testResult{
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context: c,
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localErr: errors.New("invalid response request type"),
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newAPIError: types.NewError(errors.New("invalid response request type"), types.ErrorCodeConvertRequestFailed),
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}
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}
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case relayconstant.RelayModeResponsesCompact:
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// Response compaction request - convert to OpenAIResponsesRequest before adapting
|
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switch req := request.(type) {
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case *dto.OpenAIResponsesCompactionRequest:
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convertedRequest, err = adaptor.ConvertOpenAIResponsesRequest(c, info, dto.OpenAIResponsesRequest{
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Model: req.Model,
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Input: req.Input,
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Instructions: req.Instructions,
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PreviousResponseID: req.PreviousResponseID,
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})
|
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case *dto.OpenAIResponsesRequest:
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convertedRequest, err = adaptor.ConvertOpenAIResponsesRequest(c, info, *req)
|
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default:
|
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return testResult{
|
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context: c,
|
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localErr: errors.New("invalid response compaction request type"),
|
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newAPIError: types.NewError(errors.New("invalid response compaction request type"), types.ErrorCodeConvertRequestFailed),
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}
|
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}
|
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default:
|
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// Chat/Completion 等其他请求类型
|
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if generalReq, ok := request.(*dto.GeneralOpenAIRequest); ok {
|
|
convertedRequest, err = adaptor.ConvertOpenAIRequest(c, info, generalReq)
|
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} else {
|
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return testResult{
|
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context: c,
|
|
localErr: errors.New("invalid general request type"),
|
|
newAPIError: types.NewError(errors.New("invalid general request type"), types.ErrorCodeConvertRequestFailed),
|
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}
|
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}
|
|
}
|
|
|
|
if err != nil {
|
|
return testResult{
|
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context: c,
|
|
localErr: err,
|
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newAPIError: types.NewError(err, types.ErrorCodeConvertRequestFailed),
|
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}
|
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}
|
|
jsonData, err := common.Marshal(convertedRequest)
|
|
if err != nil {
|
|
return testResult{
|
|
context: c,
|
|
localErr: err,
|
|
newAPIError: types.NewError(err, types.ErrorCodeJsonMarshalFailed),
|
|
}
|
|
}
|
|
|
|
//jsonData, err = relaycommon.RemoveDisabledFields(jsonData, info.ChannelOtherSettings)
|
|
//if err != nil {
|
|
// return testResult{
|
|
// context: c,
|
|
// localErr: err,
|
|
// newAPIError: types.NewError(err, types.ErrorCodeConvertRequestFailed),
|
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// }
|
|
//}
|
|
|
|
if len(info.ParamOverride) > 0 {
|
|
jsonData, err = relaycommon.ApplyParamOverrideWithRelayInfo(jsonData, info)
|
|
if err != nil {
|
|
if fixedErr, ok := relaycommon.AsParamOverrideReturnError(err); ok {
|
|
return testResult{
|
|
context: c,
|
|
localErr: fixedErr,
|
|
newAPIError: relaycommon.NewAPIErrorFromParamOverride(fixedErr),
|
|
}
|
|
}
|
|
return testResult{
|
|
context: c,
|
|
localErr: err,
|
|
newAPIError: types.NewError(err, types.ErrorCodeChannelParamOverrideInvalid),
|
|
}
|
|
}
|
|
}
|
|
|
|
requestBody := bytes.NewBuffer(jsonData)
|
|
c.Request.Body = io.NopCloser(bytes.NewBuffer(jsonData))
|
|
resp, err := adaptor.DoRequest(c, info, requestBody)
|
|
if err != nil {
|
|
return testResult{
|
|
context: c,
|
|
localErr: err,
|
|
newAPIError: types.NewOpenAIError(err, types.ErrorCodeDoRequestFailed, http.StatusInternalServerError),
|
|
}
|
|
}
|
|
var httpResp *http.Response
|
|
if resp != nil {
|
|
httpResp = resp.(*http.Response)
|
|
if httpResp.StatusCode != http.StatusOK {
|
|
err := service.RelayErrorHandler(c.Request.Context(), httpResp, true)
|
|
common.SysError(fmt.Sprintf(
|
|
"channel test bad response: channel_id=%d name=%s type=%d model=%s endpoint_type=%s status=%d err=%v",
|
|
channel.Id,
|
|
channel.Name,
|
|
channel.Type,
|
|
testModel,
|
|
endpointType,
|
|
httpResp.StatusCode,
|
|
err,
|
|
))
|
|
return testResult{
|
|
context: c,
|
|
localErr: err,
|
|
newAPIError: types.NewOpenAIError(err, types.ErrorCodeBadResponse, http.StatusInternalServerError),
|
|
}
|
|
}
|
|
}
|
|
usageA, respErr := adaptor.DoResponse(c, httpResp, info)
|
|
if respErr != nil {
|
|
return testResult{
|
|
context: c,
|
|
localErr: respErr,
|
|
newAPIError: respErr,
|
|
}
|
|
}
|
|
usage, usageErr := coerceTestUsage(usageA, isStream, info.GetEstimatePromptTokens())
|
|
if usageErr != nil {
|
|
return testResult{
|
|
context: c,
|
|
localErr: usageErr,
|
|
newAPIError: types.NewOpenAIError(usageErr, types.ErrorCodeBadResponseBody, http.StatusInternalServerError),
|
|
}
|
|
}
|
|
result := w.Result()
|
|
respBody, err := readTestResponseBody(result.Body, isStream)
|
|
if err != nil {
|
|
return testResult{
|
|
context: c,
|
|
localErr: err,
|
|
newAPIError: types.NewOpenAIError(err, types.ErrorCodeReadResponseBodyFailed, http.StatusInternalServerError),
|
|
}
|
|
}
|
|
if bodyErr := validateTestResponseBody(respBody, isStream); bodyErr != nil {
|
|
return testResult{
|
|
context: c,
|
|
localErr: bodyErr,
|
|
newAPIError: types.NewOpenAIError(bodyErr, types.ErrorCodeBadResponseBody, http.StatusInternalServerError),
|
|
}
|
|
}
|
|
info.SetEstimatePromptTokens(usage.PromptTokens)
|
|
|
|
quota, tieredResult := settleTestQuota(info, priceData, usage)
|
|
tok := time.Now()
|
|
milliseconds := tok.Sub(tik).Milliseconds()
|
|
consumedTime := float64(milliseconds) / 1000.0
|
|
other := buildTestLogOther(c, info, priceData, usage, tieredResult)
|
|
model.RecordConsumeLog(c, testUserID, model.RecordConsumeLogParams{
|
|
ChannelId: channel.Id,
|
|
PromptTokens: usage.PromptTokens,
|
|
CompletionTokens: usage.CompletionTokens,
|
|
ModelName: info.OriginModelName,
|
|
TokenName: "模型测试",
|
|
Quota: quota,
|
|
Content: "模型测试",
|
|
UseTimeSeconds: int(consumedTime),
|
|
IsStream: info.IsStream,
|
|
Group: info.UsingGroup,
|
|
Other: other,
|
|
})
|
|
common.SysLog(fmt.Sprintf("testing channel #%d, response: \n%s", channel.Id, string(respBody)))
|
|
return testResult{
|
|
context: c,
|
|
localErr: nil,
|
|
newAPIError: nil,
|
|
}
|
|
}
|
|
|
|
func attachTestBillingRequestInput(info *relaycommon.RelayInfo, request dto.Request) error {
|
|
if info == nil {
|
|
return nil
|
|
}
|
|
|
|
input, err := helper.BuildBillingExprRequestInputFromRequest(request, info.RequestHeaders)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
info.BillingRequestInput = &input
|
|
return nil
|
|
}
|
|
|
|
func settleTestQuota(info *relaycommon.RelayInfo, priceData types.PriceData, usage *dto.Usage) (int, *billingexpr.TieredResult) {
|
|
if usage != nil && info != nil && info.TieredBillingSnapshot != nil {
|
|
isClaudeUsageSemantic := usage.UsageSemantic == "anthropic" || info.GetFinalRequestRelayFormat() == types.RelayFormatClaude
|
|
usedVars := billingexpr.UsedVars(info.TieredBillingSnapshot.ExprString)
|
|
if ok, quota, result := service.TryTieredSettle(info, service.BuildTieredTokenParams(usage, isClaudeUsageSemantic, usedVars)); ok {
|
|
return quota, result
|
|
}
|
|
}
|
|
|
|
quota := 0
|
|
if !priceData.UsePrice {
|
|
quota = usage.PromptTokens + int(math.Round(float64(usage.CompletionTokens)*priceData.CompletionRatio))
|
|
quota = int(math.Round(float64(quota) * priceData.ModelRatio))
|
|
if priceData.ModelRatio != 0 && quota <= 0 {
|
|
quota = 1
|
|
}
|
|
return quota, nil
|
|
}
|
|
|
|
return int(priceData.ModelPrice * common.QuotaPerUnit), nil
|
|
}
|
|
|
|
func buildTestLogOther(c *gin.Context, info *relaycommon.RelayInfo, priceData types.PriceData, usage *dto.Usage, tieredResult *billingexpr.TieredResult) map[string]interface{} {
|
|
other := service.GenerateTextOtherInfo(c, info, priceData.ModelRatio, priceData.GroupRatioInfo.GroupRatio, priceData.CompletionRatio,
|
|
usage.PromptTokensDetails.CachedTokens, priceData.CacheRatio, priceData.ModelPrice, priceData.GroupRatioInfo.GroupSpecialRatio)
|
|
if tieredResult != nil {
|
|
service.InjectTieredBillingInfo(other, info, tieredResult)
|
|
}
|
|
return other
|
|
}
|
|
|
|
func coerceTestUsage(usageAny any, isStream bool, estimatePromptTokens int) (*dto.Usage, error) {
|
|
switch u := usageAny.(type) {
|
|
case *dto.Usage:
|
|
return u, nil
|
|
case dto.Usage:
|
|
return &u, nil
|
|
case nil:
|
|
if !isStream {
|
|
return nil, errors.New("usage is nil")
|
|
}
|
|
usage := &dto.Usage{
|
|
PromptTokens: estimatePromptTokens,
|
|
}
|
|
usage.TotalTokens = usage.PromptTokens
|
|
return usage, nil
|
|
default:
|
|
if !isStream {
|
|
return nil, fmt.Errorf("invalid usage type: %T", usageAny)
|
|
}
|
|
usage := &dto.Usage{
|
|
PromptTokens: estimatePromptTokens,
|
|
}
|
|
usage.TotalTokens = usage.PromptTokens
|
|
return usage, nil
|
|
}
|
|
}
|
|
|
|
func readTestResponseBody(body io.ReadCloser, isStream bool) ([]byte, error) {
|
|
defer func() { _ = body.Close() }()
|
|
const maxStreamLogBytes = 8 << 10
|
|
if isStream {
|
|
return io.ReadAll(io.LimitReader(body, maxStreamLogBytes))
|
|
}
|
|
return io.ReadAll(body)
|
|
}
|
|
|
|
func detectErrorFromTestResponseBody(respBody []byte) error {
|
|
b := bytes.TrimSpace(respBody)
|
|
if len(b) == 0 {
|
|
return nil
|
|
}
|
|
if message := detectErrorMessageFromJSONBytes(b); message != "" {
|
|
return fmt.Errorf("upstream error: %s", message)
|
|
}
|
|
|
|
for _, line := range bytes.Split(b, []byte{'\n'}) {
|
|
line = bytes.TrimSpace(line)
|
|
if len(line) == 0 {
|
|
continue
|
|
}
|
|
if !bytes.HasPrefix(line, []byte("data:")) {
|
|
continue
|
|
}
|
|
payload := bytes.TrimSpace(bytes.TrimPrefix(line, []byte("data:")))
|
|
if len(payload) == 0 || bytes.Equal(payload, []byte("[DONE]")) {
|
|
continue
|
|
}
|
|
if message := detectErrorMessageFromJSONBytes(payload); message != "" {
|
|
return fmt.Errorf("upstream error: %s", message)
|
|
}
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func validateStreamTestResponseBody(respBody []byte) error {
|
|
b := bytes.TrimSpace(respBody)
|
|
if len(b) == 0 {
|
|
return errors.New("stream response body is empty")
|
|
}
|
|
|
|
for _, line := range bytes.Split(b, []byte{'\n'}) {
|
|
line = bytes.TrimSpace(line)
|
|
if len(line) == 0 || !bytes.HasPrefix(line, []byte("data:")) {
|
|
continue
|
|
}
|
|
payload := bytes.TrimSpace(bytes.TrimPrefix(line, []byte("data:")))
|
|
if len(payload) == 0 || bytes.Equal(payload, []byte("[DONE]")) {
|
|
continue
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
return errors.New("stream response body does not contain a valid stream event")
|
|
}
|
|
|
|
func validateTestResponseBody(respBody []byte, isStream bool) error {
|
|
if bodyErr := detectErrorFromTestResponseBody(respBody); bodyErr != nil {
|
|
return bodyErr
|
|
}
|
|
if isStream {
|
|
return validateStreamTestResponseBody(respBody)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func shouldUseStreamForAutomaticChannelTest(channel *model.Channel) bool {
|
|
return channel != nil && channel.Type == constant.ChannelTypeCodex
|
|
}
|
|
|
|
func detectErrorMessageFromJSONBytes(jsonBytes []byte) string {
|
|
if len(jsonBytes) == 0 {
|
|
return ""
|
|
}
|
|
if jsonBytes[0] != '{' && jsonBytes[0] != '[' {
|
|
return ""
|
|
}
|
|
errVal := gjson.GetBytes(jsonBytes, "error")
|
|
if !errVal.Exists() || errVal.Type == gjson.Null {
|
|
return ""
|
|
}
|
|
|
|
message := gjson.GetBytes(jsonBytes, "error.message").String()
|
|
if message == "" {
|
|
message = gjson.GetBytes(jsonBytes, "error.error.message").String()
|
|
}
|
|
if message == "" && errVal.Type == gjson.String {
|
|
message = errVal.String()
|
|
}
|
|
if message == "" {
|
|
message = errVal.Raw
|
|
}
|
|
message = strings.TrimSpace(message)
|
|
if message == "" {
|
|
return "upstream returned error payload"
|
|
}
|
|
return message
|
|
}
|
|
|
|
func buildTestRequest(model string, endpointType string, channel *model.Channel, isStream bool) dto.Request {
|
|
testResponsesInput := json.RawMessage(`[{"role":"user","content":"hi"}]`)
|
|
|
|
// 根据端点类型构建不同的测试请求
|
|
if endpointType != "" {
|
|
switch constant.EndpointType(endpointType) {
|
|
case constant.EndpointTypeEmbeddings:
|
|
// 返回 EmbeddingRequest
|
|
return &dto.EmbeddingRequest{
|
|
Model: model,
|
|
Input: []any{"hello world"},
|
|
}
|
|
case constant.EndpointTypeImageGeneration:
|
|
// 返回 ImageRequest
|
|
return &dto.ImageRequest{
|
|
Model: model,
|
|
Prompt: "a cute cat",
|
|
N: lo.ToPtr(uint(1)),
|
|
Size: "1024x1024",
|
|
}
|
|
case constant.EndpointTypeJinaRerank:
|
|
// 返回 RerankRequest
|
|
return &dto.RerankRequest{
|
|
Model: model,
|
|
Query: "What is Deep Learning?",
|
|
Documents: []any{"Deep Learning is a subset of machine learning.", "Machine learning is a field of artificial intelligence."},
|
|
TopN: lo.ToPtr(2),
|
|
}
|
|
case constant.EndpointTypeOpenAIResponse:
|
|
// 返回 OpenAIResponsesRequest
|
|
return &dto.OpenAIResponsesRequest{
|
|
Model: model,
|
|
Input: json.RawMessage(`[{"role":"user","content":"hi"}]`),
|
|
Stream: lo.ToPtr(isStream),
|
|
}
|
|
case constant.EndpointTypeOpenAIResponseCompact:
|
|
// 返回 OpenAIResponsesCompactionRequest
|
|
return &dto.OpenAIResponsesCompactionRequest{
|
|
Model: model,
|
|
Input: testResponsesInput,
|
|
}
|
|
case constant.EndpointTypeAnthropic, constant.EndpointTypeGemini, constant.EndpointTypeOpenAI:
|
|
// 返回 GeneralOpenAIRequest
|
|
maxTokens := uint(16)
|
|
if constant.EndpointType(endpointType) == constant.EndpointTypeGemini {
|
|
maxTokens = 3000
|
|
}
|
|
req := &dto.GeneralOpenAIRequest{
|
|
Model: model,
|
|
Stream: lo.ToPtr(isStream),
|
|
Messages: []dto.Message{
|
|
{
|
|
Role: "user",
|
|
Content: "hi",
|
|
},
|
|
},
|
|
MaxTokens: lo.ToPtr(maxTokens),
|
|
}
|
|
if isStream {
|
|
req.StreamOptions = &dto.StreamOptions{IncludeUsage: true}
|
|
}
|
|
return req
|
|
}
|
|
}
|
|
|
|
// 自动检测逻辑(保持原有行为)
|
|
if strings.Contains(strings.ToLower(model), "rerank") {
|
|
return &dto.RerankRequest{
|
|
Model: model,
|
|
Query: "What is Deep Learning?",
|
|
Documents: []any{"Deep Learning is a subset of machine learning.", "Machine learning is a field of artificial intelligence."},
|
|
TopN: lo.ToPtr(2),
|
|
}
|
|
}
|
|
|
|
// 先判断是否为 Embedding 模型
|
|
if strings.Contains(strings.ToLower(model), "embedding") ||
|
|
strings.HasPrefix(model, "m3e") ||
|
|
strings.Contains(model, "bge-") {
|
|
// 返回 EmbeddingRequest
|
|
return &dto.EmbeddingRequest{
|
|
Model: model,
|
|
Input: []any{"hello world"},
|
|
}
|
|
}
|
|
|
|
// Responses compaction models (must use /v1/responses/compact)
|
|
if strings.HasSuffix(model, ratio_setting.CompactModelSuffix) {
|
|
return &dto.OpenAIResponsesCompactionRequest{
|
|
Model: model,
|
|
Input: testResponsesInput,
|
|
}
|
|
}
|
|
|
|
// Responses-only models (e.g. codex series)
|
|
if strings.Contains(strings.ToLower(model), "codex") {
|
|
return &dto.OpenAIResponsesRequest{
|
|
Model: model,
|
|
Input: json.RawMessage(`[{"role":"user","content":"hi"}]`),
|
|
Stream: lo.ToPtr(isStream),
|
|
}
|
|
}
|
|
|
|
// Chat/Completion 请求 - 返回 GeneralOpenAIRequest
|
|
testRequest := &dto.GeneralOpenAIRequest{
|
|
Model: model,
|
|
Stream: lo.ToPtr(isStream),
|
|
Messages: []dto.Message{
|
|
{
|
|
Role: "user",
|
|
Content: "hi",
|
|
},
|
|
},
|
|
}
|
|
if isStream {
|
|
testRequest.StreamOptions = &dto.StreamOptions{IncludeUsage: true}
|
|
}
|
|
|
|
if dto.IsOpenAIReasoningOModel(model) {
|
|
testRequest.MaxCompletionTokens = lo.ToPtr(uint(16))
|
|
} else if strings.Contains(model, "thinking") {
|
|
if !strings.Contains(model, "claude") {
|
|
testRequest.MaxTokens = lo.ToPtr(uint(50))
|
|
}
|
|
} else if strings.Contains(model, "gemini") {
|
|
testRequest.MaxTokens = lo.ToPtr(uint(3000))
|
|
} else {
|
|
testRequest.MaxTokens = lo.ToPtr(uint(16))
|
|
}
|
|
|
|
return testRequest
|
|
}
|
|
|
|
func TestChannel(c *gin.Context) {
|
|
channelId, err := strconv.Atoi(c.Param("id"))
|
|
if err != nil {
|
|
common.ApiError(c, err)
|
|
return
|
|
}
|
|
channel, err := model.CacheGetChannel(channelId)
|
|
if err != nil {
|
|
channel, err = model.GetChannelById(channelId, true)
|
|
if err != nil {
|
|
common.ApiError(c, err)
|
|
return
|
|
}
|
|
}
|
|
//defer func() {
|
|
// if channel.ChannelInfo.IsMultiKey {
|
|
// go func() { _ = channel.SaveChannelInfo() }()
|
|
// }
|
|
//}()
|
|
testModel := c.Query("model")
|
|
endpointType := c.Query("endpoint_type")
|
|
isStream, _ := strconv.ParseBool(c.Query("stream"))
|
|
testUserID, err := resolveChannelTestUserID(c)
|
|
if err != nil {
|
|
common.ApiError(c, err)
|
|
return
|
|
}
|
|
tik := time.Now()
|
|
requestCtx := context.Background()
|
|
if c.Request != nil {
|
|
requestCtx = c.Request.Context()
|
|
}
|
|
result := testChannel(requestCtx, channel, testUserID, testModel, endpointType, isStream)
|
|
if result.localErr != nil {
|
|
resp := gin.H{
|
|
"success": false,
|
|
"message": result.localErr.Error(),
|
|
"time": 0.0,
|
|
}
|
|
if result.newAPIError != nil {
|
|
resp["error_code"] = result.newAPIError.GetErrorCode()
|
|
}
|
|
c.JSON(http.StatusOK, resp)
|
|
return
|
|
}
|
|
tok := time.Now()
|
|
milliseconds := tok.Sub(tik).Milliseconds()
|
|
go channel.UpdateResponseTime(milliseconds)
|
|
consumedTime := float64(milliseconds) / 1000.0
|
|
if result.newAPIError != nil {
|
|
c.JSON(http.StatusOK, gin.H{
|
|
"success": false,
|
|
"message": result.newAPIError.Error(),
|
|
"time": consumedTime,
|
|
"error_code": result.newAPIError.GetErrorCode(),
|
|
})
|
|
return
|
|
}
|
|
c.JSON(http.StatusOK, gin.H{
|
|
"success": true,
|
|
"message": "",
|
|
"time": consumedTime,
|
|
})
|
|
}
|
|
|
|
// channelTestSummary records the outcome of one channel test cycle so the
|
|
// system task can persist a per-run result for history.
|
|
type channelTestSummary struct {
|
|
Tested int `json:"tested"`
|
|
Succeeded int `json:"succeeded"`
|
|
Failed int `json:"failed"`
|
|
Disabled int `json:"disabled"`
|
|
Enabled int `json:"enabled"`
|
|
}
|
|
|
|
// performChannelTests runs the channel test loop synchronously, honoring ctx
|
|
// cancellation so a system-task runner that loses its lease stops promptly. When
|
|
// report is non-nil it is called after each channel with (processed, total) so
|
|
// the system task can surface progress.
|
|
func performChannelTests(ctx context.Context, channels []*model.Channel, testUserID int, allowDisable bool, report func(processed, total int)) channelTestSummary {
|
|
summary := channelTestSummary{}
|
|
var disableThreshold = int64(common.ChannelDisableThreshold * 1000)
|
|
if disableThreshold == 0 {
|
|
disableThreshold = 10000000 // a impossible value
|
|
}
|
|
|
|
total := len(channels)
|
|
for index, channel := range channels {
|
|
if ctx != nil && ctx.Err() != nil {
|
|
break
|
|
}
|
|
if report != nil {
|
|
report(index, total) // channels completed before this one
|
|
}
|
|
if channel.Status == common.ChannelStatusManuallyDisabled {
|
|
continue
|
|
}
|
|
isChannelEnabled := channel.Status == common.ChannelStatusEnabled
|
|
tik := time.Now()
|
|
result := testChannel(ctx, channel, testUserID, "", "", shouldUseStreamForAutomaticChannelTest(channel))
|
|
tok := time.Now()
|
|
milliseconds := tok.Sub(tik).Milliseconds()
|
|
if ctx != nil && ctx.Err() != nil {
|
|
break
|
|
}
|
|
|
|
summary.Tested++
|
|
|
|
shouldBanChannel := false
|
|
newAPIError := result.newAPIError
|
|
// request error disables the channel
|
|
if newAPIError != nil {
|
|
shouldBanChannel = service.ShouldDisableChannel(result.newAPIError)
|
|
}
|
|
|
|
// 当错误检查通过,才检查响应时间
|
|
if common.AutomaticDisableChannelEnabled && !shouldBanChannel {
|
|
if milliseconds > disableThreshold {
|
|
err := fmt.Errorf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0)
|
|
newAPIError = types.NewOpenAIError(err, types.ErrorCodeChannelResponseTimeExceeded, http.StatusRequestTimeout)
|
|
shouldBanChannel = true
|
|
}
|
|
}
|
|
|
|
if newAPIError == nil {
|
|
summary.Succeeded++
|
|
} else {
|
|
summary.Failed++
|
|
}
|
|
|
|
// disable channel
|
|
if allowDisable && isChannelEnabled && shouldBanChannel && channel.GetAutoBan() {
|
|
processChannelError(result.context, *types.NewChannelError(channel.Id, channel.Type, channel.Name, channel.ChannelInfo.IsMultiKey, common.GetContextKeyString(result.context, constant.ContextKeyChannelKey), channel.GetAutoBan()), newAPIError)
|
|
summary.Disabled++
|
|
}
|
|
|
|
// enable channel
|
|
if result.localErr == nil && !isChannelEnabled && service.ShouldEnableChannel(newAPIError, channel.Status) {
|
|
service.EnableChannel(channel.Id, common.GetContextKeyString(result.context, constant.ContextKeyChannelKey), channel.Name)
|
|
summary.Enabled++
|
|
}
|
|
|
|
channel.UpdateResponseTime(milliseconds)
|
|
if common.RequestInterval > 0 {
|
|
if ctx == nil {
|
|
time.Sleep(common.RequestInterval)
|
|
} else {
|
|
select {
|
|
case <-ctx.Done():
|
|
return summary
|
|
case <-time.After(common.RequestInterval):
|
|
}
|
|
}
|
|
}
|
|
}
|
|
if report != nil && (ctx == nil || ctx.Err() == nil) {
|
|
report(total, total) // mark complete only when the full set was tested
|
|
}
|
|
return summary
|
|
}
|
|
|
|
// runChannelTestTask runs one synchronous channel test cycle for the system task
|
|
// runner (both the scheduled job and the manual "test all channels" trigger go
|
|
// through here). It honors ctx cancellation so a runner that loses its lease
|
|
// stops promptly. mode selects the channel set: an empty mode falls back to the
|
|
// configured monitor ChannelTestMode (scheduled behavior), while a manual
|
|
// trigger passes ChannelTestModeScheduledAll to test every channel. When notify
|
|
// is set the root user is notified on completion. Cross-instance execution is
|
|
// guarded by the system task per-type lock, so no process-local guard is needed.
|
|
func runChannelTestTask(ctx context.Context, mode string, notify bool, report func(processed, total int)) (channelTestSummary, error) {
|
|
testUserID, err := resolveChannelTestUserID(nil)
|
|
if err != nil {
|
|
return channelTestSummary{}, err
|
|
}
|
|
channels, err := model.GetAllChannels(0, 0, true, false)
|
|
if err != nil {
|
|
return channelTestSummary{}, err
|
|
}
|
|
if strings.TrimSpace(mode) == "" {
|
|
mode = operation_setting.GetMonitorSetting().ChannelTestMode
|
|
}
|
|
selected := selectChannelsForAutomaticTest(channels, mode)
|
|
allowDisable := mode != operation_setting.ChannelTestModePassiveRecovery
|
|
summary := performChannelTests(ctx, selected, testUserID, allowDisable, report)
|
|
if notify && (ctx == nil || ctx.Err() == nil) {
|
|
service.NotifyRootUser(dto.NotifyTypeChannelTest, "通道测试完成", "所有通道测试已完成")
|
|
}
|
|
return summary, nil
|
|
}
|
|
|
|
func selectChannelsForAutomaticTest(channels []*model.Channel, mode string) []*model.Channel {
|
|
selected := make([]*model.Channel, 0, len(channels))
|
|
for _, channel := range channels {
|
|
if channel.Status == common.ChannelStatusManuallyDisabled {
|
|
continue
|
|
}
|
|
if mode == operation_setting.ChannelTestModePassiveRecovery && channel.Status != common.ChannelStatusAutoDisabled {
|
|
continue
|
|
}
|
|
selected = append(selected, channel)
|
|
}
|
|
return selected
|
|
}
|
|
|
|
// TestAllChannels enqueues a channel_test system task instead of running the
|
|
// test loop inline. If any channel_test task is already active, the manual run is
|
|
// rejected so the caller does not mistake a scheduled run for this manual one.
|
|
func TestAllChannels(c *gin.Context) {
|
|
task, created, err := service.EnqueueSystemTask(model.SystemTaskTypeChannelTest, channelTestTaskPayload{
|
|
Mode: operation_setting.ChannelTestModeScheduledAll,
|
|
Notify: true,
|
|
})
|
|
if err != nil {
|
|
common.ApiError(c, err)
|
|
return
|
|
}
|
|
if !created {
|
|
c.JSON(http.StatusConflict, gin.H{
|
|
"success": false,
|
|
"message": "已有通道测试任务正在运行或等待中,不能启动本次手动任务",
|
|
"data": gin.H{
|
|
"task_id": task.TaskID,
|
|
"status": task.Status,
|
|
"type": task.Type,
|
|
},
|
|
})
|
|
return
|
|
}
|
|
c.JSON(http.StatusOK, gin.H{
|
|
"success": true,
|
|
"message": "",
|
|
"data": gin.H{
|
|
"task_id": task.TaskID,
|
|
"status": task.Status,
|
|
},
|
|
})
|
|
}
|