feat: migrate npm registry from Verdaccio to Gitea Packages

packages/concept-engine/src/steps/01-extract.ts

@@ -0,0 +1,108 @@
+// ============================================================================
+// Step 01: Extract — Briefing Fact Extraction (Gemini Flash)
+// ============================================================================
+
+import { llmJsonRequest } from "../llm-client.js";
+import type { ConceptState, StepResult, PipelineConfig } from "../types.js";
+import { DEFAULT_MODELS } from "../types.js";
+
+export async function executeExtract(
+    state: ConceptState,
+    config: PipelineConfig,
+): Promise<StepResult> {
+    const models = { ...DEFAULT_MODELS, ...config.modelsOverride };
+    const startTime = Date.now();
+
+    // Build site context from the deterministic analyzer
+    const siteContext = state.siteProfile
+        ? `
+EXISTING WEBSITE ANALYSIS (FACTS — verifiably crawled, NOT guessed):
+- Domain: ${state.siteProfile.domain}
+- Total pages crawled: ${state.siteProfile.totalPages}
+- Navigation items: ${state.siteProfile.navigation.map((n) => n.label).join(", ") || "nicht erkannt"}
+- Existing features: ${state.siteProfile.existingFeatures.join(", ") || "keine"}
+- Services / Kompetenzen: ${state.siteProfile.services.join(" | ") || "keine"}
+- Employee count (from website text): ${(state.siteProfile as any).employeeCount || "nicht genannt"}
+- Company name: ${state.siteProfile.companyInfo.name || "unbekannt"}
+- Address: ${state.siteProfile.companyInfo.address || "unbekannt"}
+- Tax ID (USt-ID): ${state.siteProfile.companyInfo.taxId || "unbekannt"}
+- HRB: ${state.siteProfile.companyInfo.registerNumber || "unbekannt"}
+- Managing Director: ${state.siteProfile.companyInfo.managingDirector || "unbekannt"}
+- External related domains (HAVE OWN WEBSITES — DO NOT include as sub-pages!): ${state.siteProfile.externalDomains.join(", ") || "keine"}
+- Social links: ${Object.entries(state.siteProfile.socialLinks).map(([k, v]) => `${k}: ${v}`).join(", ") || "keine"}
+`
+        : "No existing website data available.";
+
+    const systemPrompt = `
+You are a precision fact extractor. Your only job: extract verifiable facts from the BRIEFING.
+Output language: GERMAN (strict).
+Output format: flat JSON at root level. No nesting except arrays.
+
+### CRITICAL RULES:
+1. "employeeCount": take from SITE ANALYSIS if available. Only override if briefing states something more specific.
+2. External domains (e.g. "etib-ing.com") have their OWN website. NEVER include them as sub-pages.
+3. Videos (Messefilm, Imagefilm) are CONTENT ASSETS, not pages.
+4. If existing site already has search, include "search" in functions.
+5. DO NOT invent pages not mentioned in briefing or existing navigation.
+
+### CONSERVATIVE RULE:
+- simple lists (Jobs, Referenzen, Messen) = pages, NOT features
+- Assume "page" as default. Only add "feature" for complex interactive systems.
+
+### OUTPUT FORMAT:
+{
+  "companyName": string,
+  "companyAddress": string,
+  "personName": string,
+  "email": string,
+  "existingWebsite": string,
+  "websiteTopic": string,         // MAX 3 words
+  "isRelaunch": boolean,
+  "employeeCount": string,        // from site analysis, e.g. "über 50"
+  "pages": string[],              // ALL pages: ["Startseite", "Über Uns", "Leistungen", ...]
+  "functions": string[],          // search, forms, maps, video, cookie_consent, etc.
+  "assets": string[],             // existing_website, logo, media, photos, videos
+  "deadline": string,
+  "targetAudience": string,
+  "cmsSetup": boolean,
+  "multilang": boolean
+}
+
+BANNED OUTPUT KEYS: "selectedPages", "otherPages", "features", "apiSystems" — use pages[] and functions[] ONLY.
+`;
+
+    const userPrompt = `BRIEFING (TRUTH SOURCE):
+${state.briefing}
+
+COMMENTS:
+${state.comments || "keine"}
+
+${siteContext}`;
+
+    try {
+        const { data, usage } = await llmJsonRequest({
+            model: models.flash,
+            systemPrompt,
+            userPrompt,
+            apiKey: config.openrouterKey,
+        });
+
+        return {
+            success: true,
+            data,
+            usage: {
+                step: "01-extract",
+                model: models.flash,
+                promptTokens: usage.promptTokens,
+                completionTokens: usage.completionTokens,
+                cost: usage.cost,
+                durationMs: Date.now() - startTime,
+            },
+        };
+    } catch (err) {
+        return {
+            success: false,
+            error: `Extract step failed: ${(err as Error).message}`,
+        };
+    }
+}