feat(pdf): rename acquisition-library to pdf-library and update package name to @mintel/pdf

packages/pdf-library/src/services/AcquisitionService.ts

@@ -0,0 +1,153 @@
+import { CheerioCrawler } from "@crawlee/cheerio";
+import axios from "axios";
+import { FileCacheAdapter } from "../utils/cache/FileCacheAdapter.js";
+import { initialState } from "../logic/pricing/constants.js";
+import { FormState } from "../logic/pricing/types.js";
+
+export interface AcquisitionResult {
+    state: FormState;
+    usage: {
+        prompt: number;
+        completion: number;
+        cost: number;
+    };
+}
+
+export class AcquisitionService {
+    private cache: FileCacheAdapter;
+    private openRouterKey: string;
+
+    constructor(openRouterKey: string) {
+        this.openRouterKey = openRouterKey;
+        this.cache = new FileCacheAdapter({ prefix: "acq_" });
+    }
+
+    async runFullSequence(url: string, briefing: string, comments?: string): Promise<AcquisitionResult> {
+        console.log(`🚀 Starting Acquisition Sequence for: ${url}`);
+
+        // 1. Crawl
+        const crawlData = await this.performCrawl(url);
+
+        // 2. Distill
+        const distilledContext = await this.distillCrawlContext(crawlData);
+
+        // 3. AI Estimation (using parts of the original ai-estimate logic)
+        // For brevity in this initial port, I'll implement a combined prompt strategy 
+        // or keep the multi-pass if needed.
+
+        const result = await this.getAiEstimation(briefing, distilledContext, comments || null);
+
+        return result;
+    }
+
+    private async performCrawl(url: string): Promise<string> {
+        const pages: any[] = [];
+        const origin = new URL(url).origin;
+
+        const crawler = new CheerioCrawler({
+            maxRequestsPerCrawl: 15,
+            async requestHandler({ $, request, enqueueLinks }) {
+                const title = $("title").text();
+                const bodyText = $("body").text().replace(/\s+/g, " ").substring(0, 10000);
+
+                pages.push({
+                    url: request.url,
+                    content: `Title: ${title}\nText: ${bodyText}`,
+                });
+
+                await enqueueLinks({
+                    limit: 10,
+                    transformRequestFunction: (req) => {
+                        try {
+                            const reqUrl = new URL(req.url);
+                            if (reqUrl.origin !== origin) return false;
+                            if (reqUrl.pathname.match(/\.(pdf|zip|jpg|png|svg|webp)$/i)) return false;
+                            return req;
+                        } catch (_error) {
+                            // Ignored - malformed URL in enqueueLinks
+                            return false;
+                        }
+                    },
+                });
+            },
+        });
+
+        await crawler.run([url]);
+        return pages.map((p) => `--- PAGE: ${p.url} ---\n${p.content}`).join("\n\n");
+    }
+
+    private async distillCrawlContext(rawCrawl: string): Promise<string> {
+        const systemPrompt = `
+You are a context distiller. Extract the "Company DNA" in 5-8 bullet points (GERMAN).
+Focus on: Services, USPs, Target Audience, Tone.
+`;
+        const resp = await axios.post(
+            "https://openrouter.ai/api/v1/chat/completions",
+            {
+                model: "google/gemini-3-flash-preview",
+                messages: [
+                    { role: "system", content: systemPrompt },
+                    { role: "user", content: `RAW_CRAWL:\n${rawCrawl.substring(0, 20000)}` },
+                ],
+            },
+            {
+                headers: { Authorization: `Bearer ${this.openRouterKey}` },
+            }
+        );
+
+        return resp.data.choices[0].message.content;
+    }
+
+    private async getAiEstimation(briefing: string, context: string, comments: string | null): Promise<AcquisitionResult> {
+        // Porting a simplified version of Pass 1 and Pass 3 together for the "Audit"
+        const systemPrompt = `
+You are a Digital Architect. Analyze the briefing and crawl context.
+Generate a JSON state for a project estimation.
+Language: GERMAN.
+Format: ROOT LEVEL JSON matching FormState interface.
+
+### PRICING RULES:
+- Base: 5440 €
+- Page: 600 €
+- Feature: 1500 €
+- Function/API: 800 €
+
+Return ONLY the JSON.
+`;
+        const userPrompt = `BRIEFING: ${briefing}\n\nCONTEXT: ${context}\n\nCOMMENTS: ${comments}`;
+
+        const resp = await axios.post(
+            "https://openrouter.ai/api/v1/chat/completions",
+            {
+                model: "google/gemini-3-flash-preview",
+                messages: [
+                    { role: "system", content: systemPrompt },
+                    { role: "user", content: userPrompt },
+                ],
+                response_format: { type: "json_object" },
+            },
+            {
+                headers: { Authorization: `Bearer ${this.openRouterKey}` },
+            }
+        );
+
+        let state: FormState;
+        try {
+            state = JSON.parse(resp.data.choices[0].message.content);
+        } catch (_error) {
+            console.error("Failed to parse AI estimation JSON, returning initial state.");
+            state = initialState;
+        }
+        // Ensure it matches FormState defaults
+        const finalState = { ...initialState, ...state };
+
+        return {
+            state: finalState,
+            usage: {
+                prompt: resp.data.usage?.prompt_tokens || 0,
+                completion: resp.data.usage?.completion_tokens || 0,
+                cost: resp.data.usage?.cost || 0,
+            },
+        };
+    }
+}

packages/pdf-library/src/services/PdfEngine.ts

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+import { renderToFile } from "@react-pdf/renderer";
+import { createElement } from "react";
+import { EstimationPDF } from "../components/EstimationPDF.js";
+import { PRICING } from "../logic/pricing/constants.js";
+import { calculateTotals } from "../logic/pricing/calculator.js";
+
+export class PdfEngine {
+    constructor() { }
+
+    async generateEstimatePdf(state: any, outputPath: string): Promise<string> {
+        const totals = calculateTotals(state, PRICING);
+
+        await renderToFile(
+            createElement(EstimationPDF as any, {
+                state,
+                totalPrice: totals.totalPrice,
+                pricing: PRICING,
+            } as any) as any,
+            outputPath
+        );
+
+        return outputPath;
+    }
+}