242 lines
8.8 KiB
Go
242 lines
8.8 KiB
Go
// 画布 Agent 的画布写操作：把工具参数转换成画布操作（增删节点、连线）并校验。
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//
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// 连线必须满足节点类型的输入约束（validateCloudAgentConnection），不合法的连线
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// 直接拒绝并返回可读原因，由模型自行修正。
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package app
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import (
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"fmt"
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"strings"
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"unicode"
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"unicode/utf8"
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"infinite-canvas/backend/internal/repository"
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)
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func cloudAgentSkillPage(version, path, content string, offset int) (any, error) {
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runes := []rune(content)
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if offset < 0 || offset > len(runes) {
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return nil, BadAuthRequest("技能读取偏移超出文件范围")
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}
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end := offset + min(12000, len(runes)-offset)
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return map[string]any{"version": version, "path": path, "content": string(runes[offset:end]), "offset": offset, "nextOffset": end, "hasMore": end < len(runes)}, nil
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}
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func validateCloudAgentID(value, label string, maxRunes int) error {
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if value == "" || strings.TrimSpace(value) != value || !utf8.ValidString(value) {
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return BadAuthRequest(label + "不能为空、不能包含首尾空白或无效字符")
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}
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if utf8.RuneCountInString(value) > maxRunes {
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return BadAuthRequest(fmt.Sprintf("%s不能超过 %d 个字符", label, maxRunes))
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}
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for _, r := range value {
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if unicode.IsControl(r) {
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return BadAuthRequest(label + "不能包含控制字符")
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}
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}
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return nil
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}
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type agentCanvasArgs struct {
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SnapshotHash string `json:"snapshotHash"`
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Ops []agentCanvasOp `json:"ops"`
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}
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type agentCanvasOp struct {
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Type string `json:"type"`
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ID string `json:"id"`
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NodeType string `json:"nodeType"`
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Title *string `json:"title"`
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Content *string `json:"content"`
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Patch map[string]any `json:"patch"`
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// X/Y 为指针：nil 表示模型没有指定坐标，服务端按画布内容自动落位（不再落到原点重叠）。
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// 指针语义与 canvas/capability/builtin.go 的 positionPatchFields 一致（坐标是可选的数字）。
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X *float64 `json:"x"`
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Y *float64 `json:"y"`
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FromNodeID string `json:"fromNodeId"`
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ToNodeID string `json:"toNodeId"`
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}
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// Explicit node creation and edges only; no generic metadata, media URL or deletion.
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func applyCloudAgentCanvas(repo *repository.Repository, userID, canvasID string, call cloudAgentCall, policy RuntimePolicySetting, recorder ...cloudAgentMutationRecorder) (any, error) {
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plan, err := prepareCloudAgentCanvasMutation(repo, userID, canvasID, call)
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if err != nil {
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return nil, err
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}
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if err = saveCloudAgentDocument(repo, plan.Canvas, plan.Document, policy); err != nil {
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return nil, err
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}
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if len(recorder) > 0 && recorder[0] != nil {
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if err := recorder[0](repo, cloudAgentMutationInput{
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UserID: userID,
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CanvasID: canvasID,
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StepID: call.ID,
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Operation: "canvas_apply_ops",
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BeforeSnapshotHash: plan.BeforeSnapshotHash,
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AfterSnapshotHash: cloudAgentCanvasHash(plan.Document),
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BeforeJSON: plan.BeforeJSON,
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Preview: &plan.Preview,
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}); err != nil {
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return nil, err
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}
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}
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return map[string]any{"canvasId": canvasID, "snapshotHash": cloudAgentCanvasHash(plan.Document), "summary": fmt.Sprintf("已完成 %d 项节点/连线操作", len(plan.Args.Ops)), "preview": plan.Preview}, nil
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}
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func validateCloudAgentConnection(nodes []map[string]any, fromID, toID string, existingConnections ...[]map[string]any) error {
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if err := validateCloudAgentID(fromID, "来源节点 ID", 80); err != nil {
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return err
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}
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if err := validateCloudAgentID(toID, "目标节点 ID", 80); err != nil {
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return err
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}
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if fromID == toID {
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return BadAuthRequest("连线不能指向自身")
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}
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var from, to map[string]any
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for _, node := range nodes {
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if stringValue(node["id"]) == fromID {
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from = node
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}
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if stringValue(node["id"]) == toID {
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to = node
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}
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}
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if from == nil || to == nil {
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return BadAuthRequest("连线端点不存在")
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}
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fromCapability, fromKnown := cloudAgentNodeCapabilityForNode(from)
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toCapability, toKnown := cloudAgentNodeCapabilityForNode(to)
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if !fromKnown || !toKnown {
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return BadAuthRequest("连线包含当前 Agent 不支持的节点类型")
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}
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fromKind := fromCapability.InputKind
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if fromKind == "" || !fromCapability.Connection.CanSource {
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return BadAuthRequest(fmt.Sprintf("来源节点类型 %s 不能作为生成输入；引用连线不能用于普通节点关联", fromCapability.Type))
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}
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if !toCapability.Connection.CanTarget {
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return BadAuthRequest(fmt.Sprintf("目标节点类型 %s 不能接收生成输入；无需为文档归档建立引用连线", toCapability.Type))
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}
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connections := []map[string]any{}
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if len(existingConnections) > 0 {
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connections = existingConnections[0]
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}
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for _, edge := range connections {
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if stringValue(edge["toNodeId"]) == toID && stringValue(edge["fromNodeId"]) == fromID {
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return BadAuthRequest("连线重复")
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}
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}
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if err := toCapability.ValidateConnection(fromKind); err != nil {
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return BadAuthRequest(err.Error())
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}
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if maxInputs := toCapability.Connection.MaxInputCount; maxInputs > 0 {
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inputIDs := map[string]bool{}
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for _, edge := range connections {
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if stringValue(edge["toNodeId"]) == toID {
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inputIDs[stringValue(edge["fromNodeId"])] = true
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}
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}
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inputIDs[fromID] = true
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if len(inputIDs) > maxInputs {
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return BadAuthRequest(fmt.Sprintf("%s最多连接 %d 个输入", toCapability.Label, maxInputs))
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}
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}
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return nil
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}
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func cloudAgentInputKindLabel(kind string) string {
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switch kind {
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case "image":
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return "图片"
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case "video":
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return "视频"
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case "audio":
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return "音频"
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default:
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return "文本"
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}
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}
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func creationMaps(value any) []map[string]any {
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result := []map[string]any{}
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switch items := value.(type) {
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case []any:
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for _, v := range items {
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if m, ok := v.(map[string]any); ok {
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result = append(result, m)
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}
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}
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case []map[string]any:
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result = items
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}
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return result
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}
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// Only server-registered canvas capabilities are exposed to the model. UI-only
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// renderers are not a persistence or authorization contract.
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func cloudAgentNodeTypes() map[string]any {
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types := make([]map[string]any, 0, len(canvasCapabilityRegistry.List()))
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for _, capability := range canvasCapabilityRegistry.List() {
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item := map[string]any{
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"type": capability.Type,
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"label": capability.Label,
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"purpose": capability.Purpose,
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"defaultSize": map[string]any{"width": capability.DefaultWidth, "height": capability.DefaultHeight},
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"canUpdate": capability.CanUpdate,
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}
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if variant := capability.Variant; variant != nil {
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// 变体不能 add_node；画布里按 type+metadata.workflowKind 识别，读取结果以 kind 标出。
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item["canvasNodeType"], item["workflowKind"], item["creatable"] = variant.BaseType, variant.WorkflowKind, false
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}
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if len(capability.GoodFor) > 0 {
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item["goodFor"] = capability.GoodFor
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}
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if len(capability.NotIdealFor) > 0 {
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item["notIdealFor"] = capability.NotIdealFor
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}
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if len(capability.Tradeoffs) > 0 {
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item["tradeoffs"] = capability.Tradeoffs
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}
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if len(capability.Actions) > 0 {
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item["actions"] = capability.Actions
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}
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if capability.CanUpdate {
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fields := map[string]any{}
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for key, field := range capability.PatchFields {
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definition := map[string]any{"type": field.Kind, "label": field.Label, "displayOrder": field.Order, "maxCharacters": field.MaxRunes}
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if field.Description != "" {
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definition["description"] = field.Description
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}
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fields[key] = definition
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}
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item["updateFields"] = fields
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}
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if capability.InputKind != "" {
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item["inputKind"] = capability.InputKind
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}
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if capability.GenerationMode != "" && cloudAgentGenerationModeSupported(capability.GenerationMode) {
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item["generationMode"] = capability.GenerationMode
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}
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if len(capability.Connection.AcceptedInputKinds) > 0 {
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item["acceptedInputKinds"] = capability.Connection.AcceptedInputKinds
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}
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if len(capability.Connection.RejectedInputKinds) > 0 {
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item["rejectedInputKinds"] = capability.Connection.RejectedInputKinds
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}
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if capability.Connection.MaxInputCount > 0 {
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item["maxInputCount"] = capability.Connection.MaxInputCount
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}
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item["canSource"] = capability.Connection.CanSource
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item["canTarget"] = capability.Connection.CanTarget
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item["canReference"] = capability.Connection.CanReference
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types = append(types, item)
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}
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return map[string]any{"schemaVersion": 2, "nodes": types, "selectionGuide": []string{
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"单个画面、一次性提示词或快速试验通常使用文本/Markdown与媒体节点更轻量。",
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"多镜头、连续性、逐镜审查、逐镜生成或需要后续维护时，分镜脚本通常更合适。",
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"媒体节点只承载单个生成目标，不替代多镜头结构；选择媒体节点后还要用 model_list 按生成模式和本次真实参考节点筛选模型。",
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"节点选择由Agent结合用户目标决定；不要为了形式创建复杂节点，也不要用普通文本伪装成结构化分镜。",
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}}
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}
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