113 lines
3.4 KiB
Go
113 lines
3.4 KiB
Go
package style8d
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import (
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"encoding/json"
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"strings"
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)
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var dimensionLabels = map[string]string{
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"d1Tone": "D1 語氣人格",
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"d2Structure": "D2 結構模板",
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"d3Interaction": "D3 互動方式",
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"d4Topics": "D4 主題分布",
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"d5Rhythm": "D5 發文節奏",
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"d6Visual": "D6 視覺語法",
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"d7Conversion": "D7 轉換方式",
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"d8Risk": "D8 風險紅線",
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}
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var dimensionOrder = []string{
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"d1Tone", "d2Structure", "d3Interaction", "d4Topics",
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"d5Rhythm", "d6Visual", "d7Conversion", "d8Risk",
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}
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// ParseStoredProfile decodes the persona.style_profile JSON blob.
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func ParseStoredProfile(raw string) (*StoredProfile, bool) {
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raw = strings.TrimSpace(raw)
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if raw == "" {
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return nil, false
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}
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var profile StoredProfile
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if err := json.Unmarshal([]byte(raw), &profile); err != nil {
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return nil, false
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}
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if len(profile.Analysis) == 0 && strings.TrimSpace(profile.PersonaDraft) == "" {
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return nil, false
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}
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return &profile, true
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}
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// HasReady8D returns true when D1–D8 summaries exist and can drive copy generation.
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// personaDraft or legacy persona text alone is not sufficient for matrix/copy gates.
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func HasReady8D(personaText, styleProfileJSON string) bool {
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_ = personaText
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return BuildStyle8DPromptBlock(styleProfileJSON) != ""
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}
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var copyVoiceDimensionOrder = []string{"d1Tone", "d8Risk"}
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// BuildStyle8DPromptBlock formats D1–D8 summaries for LLM prompts.
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func BuildStyle8DPromptBlock(styleProfileJSON string) string {
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return buildStylePromptBlock(styleProfileJSON, dimensionOrder, "【8D 風格策略】\n產文必須遵守：\n")
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}
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// BuildLightPersonaVoiceBlock keeps only tone + risk guardrails for copy generation.
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func BuildLightPersonaVoiceBlock(styleProfileJSON string) string {
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return buildStylePromptBlock(
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styleProfileJSON,
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copyVoiceDimensionOrder,
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"【語氣與禁忌參考】\n以下僅供口語風格與紅線參考，勿照搬句型、段落模板或固定 hook：\n",
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)
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}
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func buildStylePromptBlock(styleProfileJSON string, keys []string, header string) string {
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profile, ok := ParseStoredProfile(styleProfileJSON)
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if !ok {
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return ""
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}
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lines := make([]string, 0, len(keys))
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for _, key := range keys {
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summary := strings.TrimSpace(profile.Analysis[key].Summary)
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if summary == "" {
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continue
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}
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label := dimensionLabels[key]
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if label == "" {
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label = key
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}
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lines = append(lines, label+"："+summary)
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}
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if len(lines) == 0 {
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return ""
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}
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var b strings.Builder
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b.WriteString(header)
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b.WriteString(strings.Join(lines, "\n"))
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return b.String()
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}
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// ResolvePersonaBlock combines explicit persona positioning with analyzed writing fingerprints.
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// The persona field answers "who this is"; personaDraft/style profile answers "how this person says things".
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func ResolvePersonaBlock(personaText, styleProfileJSON, brief string) string {
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var parts []string
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profile, hasProfile := ParseStoredProfile(styleProfileJSON)
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persona := strings.TrimSpace(personaText)
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if persona != "" {
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parts = append(parts, "【人設定位】\n"+persona)
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} else if fallback := strings.TrimSpace(brief); fallback != "" {
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parts = append(parts, "【人設定位】\n"+fallback)
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}
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if hasProfile {
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if draft := strings.TrimSpace(profile.PersonaDraft); draft != "" {
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parts = append(parts, "【語言指紋與寫作規則】\n"+draft)
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}
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}
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if block := BuildLightPersonaVoiceBlock(styleProfileJSON); block != "" {
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parts = append(parts, block)
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}
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return strings.TrimSpace(strings.Join(parts, "\n\n"))
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}
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