since3-portal/modules/templates/ai/knowledge.ts

import { brandName } from "../lib/content"
import type { FieldDef, ListFieldDef, SectionData, TemplateContent, TemplateDefinition } from "../lib/types"

const clean = (value: string) => value.replace(/\*/g, "").replace(/\s*\n\s*/g, " · ").trim()

type PageSection = { label: string; fields: (FieldDef | ListFieldDef)[]; data: SectionData | undefined; hidden: boolean }

// Feste Sektionen der Vorlage und – im Baukasten – die Bausteine in ihrer Reihenfolge
function pageSections(def: TemplateDefinition, content: TemplateContent): PageSection[] {
    const fixed = def.sections.map((section) => ({
        label: section.label,
        fields: section.fields,
        data: content.data[section.key],
        hidden: content.hidden.includes(section.key),
    }))
    const library = new Map(def.builder?.library.map((block) => [block.type, block]))
    const blocks = content.blocks.flatMap((block) => {
        const definition = library.get(block.type)
        if (!definition) return []
        const menu = typeof block.data.menu === "string" ? block.data.menu.trim() : ""
        return [{ label: menu || definition.label, fields: definition.fields, data: block.data, hidden: block.hidden }]
    })
    return [...fixed, ...blocks]
}

export function businessName(def: TemplateDefinition, content: TemplateContent) {
    return brandName(content) ?? def.name
}

// Alles, was auf der Webseite steht, als Wissen für die KI – Bilder ausgenommen, ausgeblendete Sektionen auch
export function buildKnowledge(def: TemplateDefinition, content: TemplateContent) {
    const parts = [`Betrieb: ${businessName(def, content)}`, `Branche: ${def.industry}`]

    for (const section of pageSections(def, content)) {
        const data = section.data
        if (!data || section.hidden) continue

        const lines: string[] = []
        for (const field of section.fields) {
            const value = data[field.key]
            if (field.type === "list") {
                if (!Array.isArray(value)) continue
                const items = value
                    .map((item) =>
                        field.fields
                            .filter((sub) => sub.type !== "image" && item[sub.key]?.trim())
                            .map((sub) => `${sub.label}: ${clean(item[sub.key])}`)
                            .join("; ")
                    )
                    .filter(Boolean)
                if (items.length) lines.push(`${field.label}:\n${items.map((item) => `- ${item}`).join("\n")}`)
            } else if (field.type !== "image" && typeof value === "string" && value.trim()) {
                lines.push(`${field.label}: ${clean(value)}`)
            }
        }
        if (lines.length) parts.push(`\n## ${section.label}\n${lines.join("\n")}`)
    }

    if (content.ai.knowledge.trim()) parts.push(`\n## Zusatzwissen\n${content.ai.knowledge.trim()}`)
    return parts.join("\n")
}

// Bild-Links der Variante, z. B. für die Post-Vorschauen im Content-Generator
export function collectImages(def: TemplateDefinition, content: TemplateContent) {
    const images: string[] = []
    for (const section of pageSections(def, content)) {
        const data = section.data
        if (!data) continue
        for (const field of section.fields) {
            const value = data[field.key]
            if (field.type === "image" && typeof value === "string") images.push(value)
            if (field.type === "list" && Array.isArray(value)) {
                for (const sub of field.fields.filter((f) => f.type === "image")) {
                    images.push(...value.map((item) => item[sub.key] ?? ""))
                }
            }
        }
    }
    return [...new Set(images.filter((src) => src.startsWith("http")))]
}