tian
700d964524
Agent 新增 /v1/capabilities 接口，返回设备检测能力列表。 Managerd 控制台查询此接口，仅显示设备真实支持的功能。 - Agent: capabilities.go — 根据插件节点类型映射能力 - Managerd: pageConsole 查询 /v1/capabilities 过滤可选功能 - ConsoleFeature 增加 Description 字段，hover 显示说明 - 旧 agent 无此接口时回退为显示已持久化的功能
608 lines
21 KiB
Go
608 lines
21 KiB
Go
package service
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import (
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"crypto/sha256"
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"encoding/hex"
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"encoding/json"
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"fmt"
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"sort"
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"strings"
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)
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// FeatureDef describes a detection feature that users can toggle on/off.
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type FeatureDef struct {
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Key string // unique key, e.g. "face", "shoe"
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Label string // human-readable label
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Templates []string // template names supporting this feature, ordered by coverage (broadest first)
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}
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// FeatureRegistry centralises which templates cover which detection features.
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type FeatureRegistry struct {
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features map[string]*FeatureDef
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// nodeTypeRequirements maps feature key → required media-server node types.
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// If a device lacks any required node type, the feature is unavailable.
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nodeTypeRequirements map[string][]string
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}
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// NewFeatureRegistry creates a registry with the built-in feature definitions.
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func NewFeatureRegistry() *FeatureRegistry {
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defs := []FeatureDef{
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{
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Key: "face",
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Label: "人脸识别",
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Templates: []string{"std_workshop_face_recognition_shoe_alarm", "std_face_recognition_stream"},
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},
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{
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Key: "shoe",
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Label: "劳保鞋检测",
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Templates: []string{"std_workshop_face_recognition_shoe_alarm", "std_workshoe_detection_stream"},
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},
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{
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Key: "helmet",
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Label: "安全帽检测",
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Templates: []string{}, // 模型就绪后再补充
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},
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{
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Key: "smoking",
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Label: "抽烟检测",
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Templates: []string{}, // 模型就绪后再补充
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},
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{
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Key: "intrusion",
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Label: "区域入侵",
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Templates: []string{}, // 模板就绪后再补充
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},
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}
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r := &FeatureRegistry{
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features: make(map[string]*FeatureDef, len(defs)),
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nodeTypeRequirements: map[string][]string{
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"face": {"ai_face_recog"}, // face recognition plugin
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"shoe": {"ai_shoe_det"}, // shoe detection plugin
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"helmet": {"ai_yolo"}, // YOLO for helmet (model pending)
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"smoking": {"action_recog"}, // action recognition for smoking
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"intrusion": {"region_event"}, // region-based intrusion
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},
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}
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for i := range defs {
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r.features[defs[i].Key] = &defs[i]
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}
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return r
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}
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// FeatureKeys returns all registered feature keys in a stable order.
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func (r *FeatureRegistry) FeatureKeys() []string {
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keys := make([]string, 0, len(r.features))
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for k := range r.features {
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keys = append(keys, k)
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}
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sort.Strings(keys)
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return keys
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}
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// Feature returns the definition for a feature key, or nil.
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// AvailableFeatures returns the subset of registered features that are supported
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// by the given device node types (from /v1/graph-node-types).
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// If nodeTypes is nil/empty, all features are considered available (fallback for
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// old agents that don't expose node types).
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func (r *FeatureRegistry) AvailableFeatures(nodeTypes []string) []FeatureDef {
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all := r.AllFeatures()
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if len(nodeTypes) == 0 {
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return all // no info → assume all available
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}
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typeSet := make(map[string]bool, len(nodeTypes))
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for _, t := range nodeTypes {
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typeSet[t] = true
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}
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out := make([]FeatureDef, 0, len(all))
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for _, f := range all {
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if r.featureAvailable(f.Key, typeSet) {
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out = append(out, f)
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}
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}
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return out
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}
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func (r *FeatureRegistry) featureAvailable(key string, nodeTypes map[string]bool) bool {
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required, ok := r.nodeTypeRequirements[key]
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if !ok || len(required) == 0 {
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return true // no specific plugin requirement → always available
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}
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for _, t := range required {
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if !nodeTypes[t] {
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return false
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}
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}
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return true
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}
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func (r *FeatureRegistry) Feature(key string) *FeatureDef {
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return r.features[key]
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}
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// AllFeatures returns a copy of all feature definitions sorted by key.
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func (r *FeatureRegistry) AllFeatures() []FeatureDef {
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out := make([]FeatureDef, 0, len(r.features))
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for _, key := range r.FeatureKeys() {
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if f := r.features[key]; f != nil {
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out = append(out, *f)
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}
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}
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return out
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}
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// ResolveResult describes the outcome of template resolution.
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type ResolveResult struct {
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TemplateName string `json:"template_name"` // selected template name; may be a composed name when Composed is true
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Composed bool `json:"composed"` // true when no single template covers all features and composition is needed
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// internal fields for the template composer (unexported)
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composePrimary string `json:"-"`
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composeFeatures []string `json:"-"`
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}
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// ResolveTemplate picks the best template covering all requested features.
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//
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// Strategy:
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// 1. Single-template: find the intersection of all features' template lists.
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// Return the first (highest-coverage) match.
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// 2. Composition needed: every feature has at least one template but no single
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// template covers all. This case will be handled by the template composer
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// later — for now we return the broadest template and set Composed=true.
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// 3. Error: one or more features have no templates at all.
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func (r *FeatureRegistry) ResolveTemplate(featureKeys []string) (*ResolveResult, error) {
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if len(featureKeys) == 0 {
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return nil, fmt.Errorf("未选择任何检测功能")
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}
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// Deduplicate and sort
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seen := map[string]struct{}{}
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cleaned := make([]string, 0, len(featureKeys))
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for _, key := range featureKeys {
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key = strings.TrimSpace(key)
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if key == "" {
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continue
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}
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if _, ok := seen[key]; ok {
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continue
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}
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seen[key] = struct{}{}
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if _, ok := r.features[key]; !ok {
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return nil, fmt.Errorf("未知的检测功能: %q", key)
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}
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cleaned = append(cleaned, key)
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}
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if len(cleaned) == 0 {
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return nil, fmt.Errorf("未选择任何检测功能")
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}
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sort.Strings(cleaned)
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// Collect template lists for each feature.
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lists := make([][]string, 0, len(cleaned))
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for _, key := range cleaned {
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def := r.features[key]
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if len(def.Templates) == 0 {
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return nil, fmt.Errorf("%s（%s）的模板尚未就绪", def.Label, def.Key)
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}
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lists = append(lists, def.Templates)
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}
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// Find intersection.
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intersection := intersectTemplateLists(lists)
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if len(intersection) > 0 {
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// Pick the most specific template: the one covering the fewest features
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// (i.e. listed by the fewest FeatureDefs), not the broadest.
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// This ensures selecting only "face" doesn't pull in a face+shoe template.
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best := intersection[0]
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bestScore := r.templateFeatureCount(best)
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for _, tpl := range intersection[1:] {
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if score := r.templateFeatureCount(tpl); score < bestScore {
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best = tpl
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bestScore = score
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}
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}
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return &ResolveResult{
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TemplateName: best,
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Composed: false,
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}, nil
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}
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// No single template covers all features → composition needed.
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// For now, pick the template that covers the most features.
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primary := pickBroadestTemplate(lists)
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composedName := "auto_" + strings.Join(cleaned, "_")
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return &ResolveResult{
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TemplateName: composedName,
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Composed: true,
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composePrimary: primary,
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composeFeatures: append([]string(nil), cleaned...),
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}, nil
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}
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// intersectTemplateLists returns templates that appear in every list, preserving
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// the order of the first list.
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func intersectTemplateLists(lists [][]string) []string {
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if len(lists) == 0 {
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return nil
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}
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// Count occurrences across all lists.
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counts := map[string]int{}
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for _, list := range lists {
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lseen := map[string]struct{}{} // dedupe within one list
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for _, t := range list {
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if _, ok := lseen[t]; ok {
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continue
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}
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lseen[t] = struct{}{}
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counts[t]++
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}
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}
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total := len(lists)
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// Return in the order of the first list (which is sorted by coverage).
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result := make([]string, 0)
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seen := map[string]struct{}{}
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for _, t := range lists[0] {
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if counts[t] == total {
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if _, ok := seen[t]; !ok {
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seen[t] = struct{}{}
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result = append(result, t)
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}
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}
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}
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return result
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}
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// pickBroadestTemplate returns the template that appears earliest in the
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// first list (assumed to be sorted by coverage breadth).
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func pickBroadestTemplate(lists [][]string) string {
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if len(lists) == 0 || len(lists[0]) == 0 {
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return ""
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}
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return lists[0][0]
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}
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// templateFeatureCount returns how many features list this template.
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// Lower = more specific template.
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func (r *FeatureRegistry) templateFeatureCount(templateName string) int {
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count := 0
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for _, def := range r.features {
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for _, t := range def.Templates {
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if t == templateName {
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count++
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break
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}
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}
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}
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return count
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}
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func (r *FeatureRegistry) ValidateFeatureKeys(keys []string) error {
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seen := map[string]struct{}{}
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for _, key := range keys {
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key = strings.TrimSpace(key)
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if key == "" {
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continue
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}
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if _, ok := seen[key]; ok {
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continue
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}
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seen[key] = struct{}{}
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if _, ok := r.features[key]; !ok {
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return fmt.Errorf("未知的检测功能: %q", key)
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}
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}
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if len(seen) == 0 {
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return fmt.Errorf("未选择任何检测功能")
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}
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return nil
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}
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// ────────────────────────────────────────────────────────────
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// AutoConfigService — one-click configuration pipeline
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// ────────────────────────────────────────────────────────────
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// AutoConfigRequest is a single device's configuration intent from the console.
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type AutoConfigRequest struct {
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DeviceID string `json:"device_id"`
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Features []string `json:"features"` // feature keys: "face", "shoe", ...
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SourceNames []string `json:"source_names"` // assigned video source names
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}
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// AutoConfigResult reports what happened for a single device.
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type AutoConfigResult struct {
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DeviceID string `json:"device_id"`
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TemplateName string `json:"template_name"`
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Composed bool `json:"composed"`
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UnitsCreated int `json:"units_created"`
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ConfigSHA256 string `json:"config_sha256"`
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TaskID string `json:"task_id,omitempty"`
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Error string `json:"error,omitempty"`
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}
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// AutoConfigService orchestrates the full pipeline from user intent to deployed config.
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type AutoConfigService struct {
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preview *ConfigPreviewService
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tasks *TaskService
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registry *FeatureRegistry
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}
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// NewAutoConfigService creates a new AutoConfigService.
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func NewAutoConfigService(preview *ConfigPreviewService, tasks *TaskService, registry *FeatureRegistry) *AutoConfigService {
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return &AutoConfigService{
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preview: preview,
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tasks: tasks,
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registry: registry,
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}
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}
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// BuildPipeline executes the full auto-config pipeline for a single device:
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// 1. Resolve template from feature selection
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// 2. If composed, generate the composed template
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// 3. Create/update the scene template (profile)
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// 4. Create/update recognition units for each video source
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// 5. Create/update the device assignment
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// 6. Render the final config
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// 7. Create a deploy task
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//
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// If deploy is false, steps 6-7 are skipped (dry-run mode).
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func (s *AutoConfigService) BuildPipeline(req AutoConfigRequest, deploy bool) (*AutoConfigResult, error) {
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result := &AutoConfigResult{DeviceID: req.DeviceID}
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// ---- 1. Resolve template ----
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cleanSources := cleanSourceNames(req.SourceNames)
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if len(cleanSources) == 0 {
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result.Error = "未分配任何视频源"
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return result, fmt.Errorf(result.Error)
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}
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resolveResult, err := s.registry.ResolveTemplate(req.Features)
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if err != nil {
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result.Error = err.Error()
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return result, err
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}
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templateName := resolveResult.TemplateName
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result.Composed = resolveResult.Composed
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// ---- 2. Compose template if needed ----
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if resolveResult.Composed {
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composed, err := s.composeFromFeatureTemplates(req.Features, resolveResult.composePrimary, resolveResult.composeFeatures)
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if err != nil {
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result.Error = fmt.Sprintf("模板组合失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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body, err := marshalConfigJSON(composed)
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if err != nil {
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result.Error = fmt.Sprintf("序列化组合模板失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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if err := s.preview.SaveTemplateAsset(templateName, "自动组合: "+strings.Join(req.Features, "+"), string(body)); err != nil {
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result.Error = fmt.Sprintf("保存组合模板失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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}
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result.TemplateName = templateName
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// ---- 3. Ensure profile (scene template) ----
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profileName := "auto_" + req.DeviceID
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editor := ConfigProfileEditor{
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Name: profileName,
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PrimaryTemplateName: templateName,
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BusinessName: req.DeviceID + " 自动配置",
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Description: "管控台一键生成",
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}
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// ---- 4. Create recognition units for each video source ----
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for _, srcName := range cleanSources {
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unitName := deriveSafeInstanceName(srcName)
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inst := ConfigProfileInstanceEditor{
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Name: unitName,
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Template: templateName,
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VideoSourceRef: srcName,
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DisplayName: srcName,
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InputBindings: map[string]InputBindingEditor{
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"video_input_main": {VideoSourceRef: srcName},
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},
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OutputBindings: map[string]OutputBindingEditor{
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"stream_output_main": {
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PublishHLSPath: "./web/hls/" + unitName + "/index.m3u8",
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PublishRTSPPort: "8555",
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PublishRTSPPath: "/live/" + unitName,
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ChannelNo: unitName,
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},
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},
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}
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editor.Instances = append(editor.Instances, inst)
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}
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if err := s.preview.SaveProfileEditor(editor); err != nil {
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result.Error = fmt.Sprintf("保存场景模板失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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// ---- 4b. Save recognition units via the dedicated API ----
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for _, inst := range editor.Instances {
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unit := RecognitionUnitAsset{
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SceneTemplateName: profileName,
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Name: inst.Name,
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DisplayName: inst.DisplayName,
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VideoSourceRef: inst.VideoSourceRef,
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OutputChannel: inst.ChannelNo,
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RTSPPort: inst.PublishRTSPPort,
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}
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ref := recognitionUnitRef(profileName, inst.Name)
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if err := s.preview.SaveRecognitionUnit(unit, ref); err != nil {
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result.Error = fmt.Sprintf("保存识别单元 %s 失败: %v", inst.Name, err)
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return result, fmt.Errorf(result.Error)
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}
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result.UnitsCreated++
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}
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// ---- 5. Device assignment ----
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unitRefs := make([]string, 0, len(cleanSources))
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for _, inst := range editor.Instances {
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unitRefs = append(unitRefs, recognitionUnitRef(profileName, inst.Name))
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}
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assignment := DeviceAssignmentAsset{
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DeviceID: req.DeviceID,
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ProfileName: profileName,
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Description: "管控台自动分配",
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RecognitionUnits: unitRefs,
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}
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if err := s.preview.SaveDeviceAssignment(assignment); err != nil {
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result.Error = fmt.Sprintf("保存设备分配失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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if !deploy {
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preview, err := s.preview.RenderDeviceAssignment(req.DeviceID)
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if err != nil {
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result.Error = fmt.Sprintf("配置渲染失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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result.ConfigSHA256 = preview.Sha256
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return result, nil
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}
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// ---- 6 & 7. Render and deploy ----
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preview, err := s.preview.RenderDeviceAssignment(req.DeviceID)
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if err != nil {
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result.Error = fmt.Sprintf("配置渲染失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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result.ConfigSHA256 = preview.Sha256
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var configDoc any
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if err := json.Unmarshal([]byte(preview.JSON), &configDoc); err != nil {
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result.Error = fmt.Sprintf("配置 JSON 无效: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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task, err := s.tasks.CreateTask("config_apply", []string{req.DeviceID}, map[string]any{"config": configDoc})
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if err != nil {
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result.Error = fmt.Sprintf("创建下发任务失败: %v", err)
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return result, fmt.Errorf(result.Error)
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}
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result.TaskID = task.ID
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return result, nil
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}
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// BuildPipelineBatch executes the pipeline for multiple devices.
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func (s *AutoConfigService) BuildPipelineBatch(requests []AutoConfigRequest, deploy bool) ([]AutoConfigResult, error) {
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results := make([]AutoConfigResult, 0, len(requests))
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var firstErr error
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for _, req := range requests {
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result, err := s.BuildPipeline(req, deploy)
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if result != nil {
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results = append(results, *result)
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}
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if err != nil && firstErr == nil {
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firstErr = err
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}
|
||
}
|
||
return results, firstErr
|
||
}
|
||
|
||
// composeFromFeatureTemplates loads templates for each feature and composes them.
|
||
func (s *AutoConfigService) composeFromFeatureTemplates(featureKeys []string, primaryName string, allFeatures []string) (map[string]any, error) {
|
||
primaryRaw, _, err := s.preview.readAssetJSON("templates", primaryName)
|
||
if err != nil {
|
||
return nil, fmt.Errorf("load primary template %q: %w", primaryName, err)
|
||
}
|
||
templates := []map[string]any{primaryRaw}
|
||
for _, key := range featureKeys {
|
||
if def := s.registry.Feature(key); def != nil {
|
||
for _, tplName := range def.Templates {
|
||
if tplName == primaryName {
|
||
continue
|
||
}
|
||
raw, _, err := s.preview.readAssetJSON("templates", tplName)
|
||
if err != nil {
|
||
continue
|
||
}
|
||
templates = append(templates, raw)
|
||
break
|
||
}
|
||
}
|
||
}
|
||
if len(templates) <= 1 {
|
||
return primaryRaw, nil
|
||
}
|
||
return ComposeTemplates(templates)
|
||
}
|
||
|
||
// ---- Device feature persistence ----
|
||
|
||
// GetDeviceFeatures returns the persisted feature keys for a device.
|
||
func (s *ConfigPreviewService) GetDeviceFeatures(deviceID string) ([]string, error) {
|
||
if s == nil || s.assets == nil {
|
||
return nil, nil
|
||
}
|
||
rec, err := s.assets.GetDeviceFeatures(deviceID)
|
||
if err != nil || rec == nil {
|
||
return nil, err
|
||
}
|
||
var features []string
|
||
if err := json.Unmarshal([]byte(rec.FeaturesJSON), &features); err != nil {
|
||
return nil, nil
|
||
}
|
||
return features, nil
|
||
}
|
||
|
||
// SaveDeviceFeatures persists the feature keys for a device.
|
||
func (s *ConfigPreviewService) SaveDeviceFeatures(deviceID string, features []string) error {
|
||
if s == nil || s.assets == nil {
|
||
return fmt.Errorf("asset repository is not configured")
|
||
}
|
||
if len(features) == 0 {
|
||
features = []string{}
|
||
}
|
||
body, err := json.Marshal(features)
|
||
if err != nil {
|
||
return err
|
||
}
|
||
return s.assets.SaveDeviceFeatures(deviceID, string(body))
|
||
}
|
||
|
||
func cleanSourceNames(names []string) []string {
|
||
seen := map[string]struct{}{}
|
||
out := make([]string, 0, len(names))
|
||
for _, n := range names {
|
||
n = strings.TrimSpace(n)
|
||
if n == "" {
|
||
continue
|
||
}
|
||
if _, ok := seen[n]; ok {
|
||
continue
|
||
}
|
||
seen[n] = struct{}{}
|
||
out = append(out, n)
|
||
}
|
||
sort.Strings(out)
|
||
return out
|
||
}
|
||
|
||
// deriveSafeInstanceName converts a user-facing video source name into a valid
|
||
// recognition unit instance name ([A-Za-z0-9_.-]+). If the source name is already
|
||
// valid, it's used as-is. Otherwise, a sanitised version is generated.
|
||
func deriveSafeInstanceName(srcName string) string {
|
||
// If already valid per validateConfigName rules, use as-is.
|
||
if safeConfigName.MatchString(srcName) {
|
||
return srcName
|
||
}
|
||
// Build a safe name from the source: keep only ASCII letters, digits, underscores.
|
||
var b strings.Builder
|
||
for _, r := range srcName {
|
||
if (r >= 'a' && r <= 'z') || (r >= 'A' && r <= 'Z') || (r >= '0' && r <= '9') || r == '_' || r == '-' || r == '.' {
|
||
b.WriteRune(r)
|
||
}
|
||
}
|
||
derived := strings.Trim(b.String(), "-_.")
|
||
if derived != "" && safeConfigName.MatchString(derived) {
|
||
return derived
|
||
}
|
||
// Fallback: use a short hash suffix to guarantee uniqueness.
|
||
sum := sha256.Sum256([]byte(srcName))
|
||
return "src_" + strings.ToLower(hex.EncodeToString(sum[:4]))
|
||
}
|