DNF90 服务端与启动器完整源码（含 GM 工具功能增强）
服务端（Go）： - GM 塞背包/带属性装备发放：在线角色推送 op14 增量物品行，背包实时刷新，无需回角色选择界面 - GM 改金币/改等级：去掉在线拒绝，落库后推送 op14 钱包/op37 等级状态，在线实时刷新 - 等级端点统一切换到新版 GMSetCharacterLevel（自带在线刷新） - 无限/锁死疲劳模式 + 燃烧疲劳：每房间消耗 2 点、打怪与通关经验双倍 - 燃烧疲劳开关时给所有在线角色推送系统提示（op12 mode 0） - 深渊史诗掉率：GM 全局倍率 + 城镇增益药剂窗口倍率，真实接入掉落结算 启动器（Python/JS）： - 标题栏自绘、窗口 1204x717、禁止拖拽改大小、仅最小化/关闭 - GM 工具：疲劳与燃烧、深渊史诗掉率、拍卖行上架（单一定价对齐） - 拍卖行上架前端对齐服务端单一价格语义，修复 400 报错
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package dnfbridge
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import (
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"context"
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"errors"
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"fmt"
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"longheng.io/server/internal/modules/dnf/dnfenum"
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dnfexpertjob "longheng.io/server/internal/modules/dnf/expertjob"
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dnfinventory "longheng.io/server/internal/modules/dnf/inventory"
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dnfproto "longheng.io/server/internal/modules/dnf/protocol"
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dnfrepo "longheng.io/server/internal/modules/dnf/repository"
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)
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type currentExpertJobRecipeLearningResult struct {
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JobType byte
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RecipeID int64
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Remaining int64
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}
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func (s *Service) handleCurrentExpertJobRecipeLearning(session *gameSession, body []byte) (bool, error) {
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request, err := dnfinventory.DecodeUseStackableRequest(body)
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if err != nil {
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return false, nil
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}
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catalog, err := s.currentExpertJobCatalog()
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if err != nil {
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s.logGameEvent(session, "game-expert-job-recipe-catalog-unavailable", "error", err)
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return false, nil
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}
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jobType, _, recipe := catalog.RecipeJob(int64(request.ItemCode))
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if !recipe {
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return false, nil
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}
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ctx, cancel := context.WithTimeout(context.Background(), createWriteTimeout)
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defer cancel()
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result, err := s.commitCurrentExpertJobRecipeLearning(ctx, session, request)
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if err != nil {
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code := byte(13)
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if errors.Is(err, dnfexpertjob.ErrLevelTooLow) {
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code = 14
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}
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if sendErr := s.sendGameUpperRawClass(session, uint16(dnfenum.CmdPacketUseStackable), buildCurrentExpertJobRecipeLearningErrorBody(code, request.ListType, request.InstanceValue, request.ItemCode), dnfproto.DefaultChannelClassification); sendErr != nil {
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return true, sendErr
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}
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s.logGameEvent(session, "game-expert-job-recipe-learning-rejected", "job_type", jobType, "recipe", request.ItemCode, "slot", request.SlotIndex, "error", err, "error_code", code)
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return true, nil
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}
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if err := s.sendGameUpperRawClass(session, uint16(dnfenum.CmdPacketUseStackable), buildCurrentExpertJobRecipeLearningSuccessBody(request.SlotIndex, request.ListType, request.InstanceValue, request.ItemCode), dnfproto.DefaultChannelClassification); err != nil {
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return true, err
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}
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if err := s.sendSelectedCurrentContainerListsRefresh(session, "expert_job_recipe_learning_after_ack"); err != nil {
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return true, err
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}
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if err := s.sendCurrentExpertJobInfoFromRepository(session, result.JobType, true); err != nil {
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return true, err
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}
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s.logGameEvent(session, "game-expert-job-recipe-learning-committed", "job_type", result.JobType, "recipe", result.RecipeID, "slot", request.SlotIndex, "remaining", result.Remaining)
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return true, nil
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}
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func (s *Service) commitCurrentExpertJobRecipeLearning(ctx context.Context, session *gameSession, request dnfinventory.UseStackableRequest) (currentExpertJobRecipeLearningResult, error) {
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catalog, _, owner, accountID, characterID, err := s.currentExpertJobMutationContext(session)
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if err != nil {
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return currentExpertJobRecipeLearningResult{}, err
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}
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recipeJobType, _, ok := catalog.RecipeJob(int64(request.ItemCode))
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if !ok {
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return currentExpertJobRecipeLearningResult{}, dnfexpertjob.ErrRecipeUnavailable
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}
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var result currentExpertJobRecipeLearningResult
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err = owner.LearnRecipe(ctx, dnfexpertjob.Command{
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AccountID: accountID,
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CharacterID: characterID,
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UpdatedAt: s.gameplayNow(),
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Project: func(assets *dnfexpertjob.Assets) (dnfexpertjob.Changes, error) {
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jobType, experience, stateErr := currentExpertJobCharacterState(assets.Character)
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if stateErr != nil || jobType != recipeJobType {
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return dnfexpertjob.Changes{}, dnfexpertjob.ErrJobUnsupported
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}
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config, configured := catalog.Config(jobType)
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if !configured {
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return dnfexpertjob.Changes{}, dnfexpertjob.ErrJobUnsupported
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}
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canLearn := config.CanLearn(experience, int64(request.ItemCode))
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if jobType == dnfexpertjob.EnchanterType {
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if enchanter, ok := catalog.Enchanter(); ok {
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if recipe, found := enchanter.CardRecipes[int64(request.ItemCode)]; found {
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canLearn = config.Level(experience) >= recipe.RequiredLevel
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}
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}
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}
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if !canLearn {
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return dnfexpertjob.Changes{}, dnfexpertjob.ErrLevelTooLow
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}
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if request.ListType != dnfrepo.MainInventoryListType || request.SlotIndex < 0 {
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return dnfexpertjob.Changes{}, dnfexpertjob.ErrRecipeUnavailable
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}
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key := currentCeraShopInventorySlotKey(request.ListType, request.SlotIndex)
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stack, found := assets.Inventory.Slots[key]
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if !found || stack.ItemID != int64(request.ItemCode) || stack.Count <= 0 || currentNPCShopItemLocked(stack) {
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return dnfexpertjob.Changes{}, dnfexpertjob.ErrRecipeUnavailable
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}
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stack.Count--
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if stack.Count == 0 {
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delete(assets.Inventory.Slots, key)
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} else {
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entry := currentItemListEntryFromStack(request.ListType, request.SlotIndex, stack)
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stack.RawEntry = append([]byte(nil), entry.data[:]...)
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assets.Inventory.Slots[key] = stack
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}
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if assets.Character.Stats == nil {
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assets.Character.Stats = make(map[string]int64)
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}
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assets.Character.Stats[currentExpertJobRecipeStatKey(jobType, int64(request.ItemCode))] = 1
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result = currentExpertJobRecipeLearningResult{JobType: jobType, RecipeID: int64(request.ItemCode), Remaining: stack.Count}
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return dnfexpertjob.Changes{Character: true, Inventory: true}, nil
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},
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})
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if err != nil {
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return currentExpertJobRecipeLearningResult{}, fmt.Errorf("learn expert job recipe item=%d: %w", request.ItemCode, err)
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}
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return result, nil
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}
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func buildCurrentExpertJobRecipeLearningSuccessBody(slot int16, listType byte, instanceValue, itemCode int32) []byte {
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w := packetWriter{}
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w.writeByte(1)
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w.writeUint16(uint16(slot))
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w.writeByte(listType)
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w.writeUint32(uint32(instanceValue))
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w.writeUint32(uint32(itemCode))
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return w.bytes()
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}
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func buildCurrentExpertJobRecipeLearningErrorBody(errorCode, listType byte, instanceValue, itemCode int32) []byte {
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w := packetWriter{}
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w.writeByte(0)
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w.writeByte(errorCode)
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w.writeByte(listType)
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w.writeUint32(uint32(instanceValue))
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w.writeUint32(uint32(itemCode))
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return w.bytes()
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}
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