531 lines
17 KiB
TypeScript
531 lines
17 KiB
TypeScript
|
/**
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* Bank statement extraction using Nanonets-OCR-s + Qwen3 (two-stage pipeline)
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*
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* Stage 1: Nanonets-OCR-s converts document pages to markdown (its strength)
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* Stage 2: Qwen3 extracts structured JSON from the combined markdown
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*
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* This leverages each model's strengths:
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* - Nanonets: Document OCR with semantic tags
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* - Qwen3: Text understanding and JSON extraction
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*/
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import { tap, expect } from '@git.zone/tstest/tapbundle';
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import * as fs from 'fs';
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import * as path from 'path';
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import { execSync } from 'child_process';
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import * as os from 'os';
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import { ensureNanonetsOcr, ensureMiniCpm } from './helpers/docker.js';
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const NANONETS_URL = 'http://localhost:8000/v1';
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const NANONETS_MODEL = 'nanonets/Nanonets-OCR-s';
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const OLLAMA_URL = 'http://localhost:11434';
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const QWEN_MODEL = 'qwen3:8b';
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interface ITransaction {
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date: string;
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counterparty: string;
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amount: number;
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}
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// Nanonets-specific prompt for document OCR to markdown
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const NANONETS_OCR_PROMPT = `Extract the text from the above document as if you were reading it naturally.
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Return the tables in html format.
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Return the equations in LaTeX representation.
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If there is an image in the document and image caption is not present, add a small description inside <img></img> tag.
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Watermarks should be wrapped in brackets. Ex: <watermark>OFFICIAL COPY</watermark>.
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Page numbers should be wrapped in brackets. Ex: <page_number>14</page_number>.`;
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// JSON extraction prompt for Qwen3
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const JSON_EXTRACTION_PROMPT = `You are a financial data extractor. Below is a bank statement converted to text/markdown. Extract ALL transactions from it as a JSON array.
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IMPORTANT RULES:
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1. Each transaction has: date, description/counterparty, and an amount
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2. Amount is NEGATIVE for money going OUT (debits, payments, withdrawals)
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3. Amount is POSITIVE for money coming IN (credits, deposits, refunds)
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4. Date format: YYYY-MM-DD
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5. Do NOT include: opening balance, closing balance, subtotals, headers, or summary rows
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6. Only include actual transactions with a specific date and amount
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Return ONLY this JSON format, no explanation:
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[
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{"date": "2021-06-01", "counterparty": "COMPANY NAME", "amount": -25.99},
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{"date": "2021-06-02", "counterparty": "DEPOSIT FROM", "amount": 100.00}
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]
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BANK STATEMENT TEXT:
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`;
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/**
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* Convert PDF to PNG images using ImageMagick
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*/
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function convertPdfToImages(pdfPath: string): string[] {
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const tempDir = fs.mkdtempSync(path.join(os.tmpdir(), 'pdf-convert-'));
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const outputPattern = path.join(tempDir, 'page-%d.png');
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try {
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// Use 150 DPI to keep images within model's context length
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execSync(
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`convert -density 150 -quality 90 "${pdfPath}" -background white -alpha remove "${outputPattern}"`,
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{ stdio: 'pipe' }
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);
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const files = fs.readdirSync(tempDir).filter((f: string) => f.endsWith('.png')).sort();
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const images: string[] = [];
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for (const file of files) {
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const imagePath = path.join(tempDir, file);
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const imageData = fs.readFileSync(imagePath);
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images.push(imageData.toString('base64'));
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}
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return images;
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} finally {
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fs.rmSync(tempDir, { recursive: true, force: true });
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}
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}
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/**
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* Stage 1: Convert a single page to markdown using Nanonets-OCR-s
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*/
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async function convertPageToMarkdown(image: string, pageNum: number): Promise<string> {
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console.log(` [Nanonets] Converting page ${pageNum} to markdown...`);
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const startTime = Date.now();
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const response = await fetch(`${NANONETS_URL}/chat/completions`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': 'Bearer dummy',
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},
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body: JSON.stringify({
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model: NANONETS_MODEL,
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messages: [{
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role: 'user',
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content: [
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{ type: 'image_url', image_url: { url: `data:image/png;base64,${image}` }},
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{ type: 'text', text: NANONETS_OCR_PROMPT },
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],
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}],
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max_tokens: 4096,
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temperature: 0.0,
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}),
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});
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const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
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if (!response.ok) {
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const errorText = await response.text();
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console.log(` [Nanonets] ERROR page ${pageNum}: ${response.status} - ${errorText}`);
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throw new Error(`Nanonets API error: ${response.status}`);
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}
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const data = await response.json();
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const content = (data.choices?.[0]?.message?.content || '').trim();
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console.log(` [Nanonets] Page ${pageNum} converted (${elapsed}s, ${content.length} chars)`);
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return content;
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}
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/**
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* Stage 1: Convert all pages to markdown using Nanonets-OCR-s
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*/
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async function convertDocumentToMarkdown(images: string[]): Promise<string> {
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console.log(` [Stage 1] Converting ${images.length} page(s) to markdown with Nanonets-OCR-s...`);
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const markdownPages: string[] = [];
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for (let i = 0; i < images.length; i++) {
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const markdown = await convertPageToMarkdown(images[i], i + 1);
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markdownPages.push(`--- PAGE ${i + 1} ---\n${markdown}`);
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}
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const fullMarkdown = markdownPages.join('\n\n');
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console.log(` [Stage 1] Complete: ${fullMarkdown.length} chars total`);
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return fullMarkdown;
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}
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/**
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* Ensure Qwen3 model is available
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*/
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async function ensureQwen3(): Promise<boolean> {
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try {
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const response = await fetch(`${OLLAMA_URL}/api/tags`);
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if (response.ok) {
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const data = await response.json();
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const models = data.models || [];
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if (models.some((m: { name: string }) => m.name === QWEN_MODEL)) {
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console.log(` [Ollama] Model available: ${QWEN_MODEL}`);
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return true;
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}
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}
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} catch {
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return false;
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}
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console.log(` [Ollama] Pulling ${QWEN_MODEL}...`);
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const pullResponse = await fetch(`${OLLAMA_URL}/api/pull`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ name: QWEN_MODEL, stream: false }),
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});
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return pullResponse.ok;
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}
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/**
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* Stage 2: Extract transactions from markdown using Qwen3
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*/
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async function extractTransactionsFromMarkdown(markdown: string, queryId: string): Promise<ITransaction[]> {
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console.log(` [${queryId}] Sending markdown to ${QWEN_MODEL}...`);
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const startTime = Date.now();
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const response = await fetch(`${OLLAMA_URL}/api/chat`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model: QWEN_MODEL,
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messages: [{
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role: 'user',
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content: JSON_EXTRACTION_PROMPT + markdown,
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}],
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stream: false,
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options: {
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num_predict: 8000,
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temperature: 0.1,
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},
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}),
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});
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const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
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if (!response.ok) {
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console.log(` [${queryId}] ERROR: ${response.status} (${elapsed}s)`);
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throw new Error(`Ollama API error: ${response.status}`);
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}
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const data = await response.json();
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const content = (data.message?.content || '').trim();
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console.log(` [${queryId}] Response received (${elapsed}s, ${content.length} chars)`);
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return parseJsonResponse(content, queryId);
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}
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/**
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* Sanitize JSON string - fix common issues from LLM output
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*/
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function sanitizeJson(jsonStr: string): string {
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let s = jsonStr;
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// Fix +number (e.g., +93.80 -> 93.80) - JSON doesn't allow + prefix
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s = s.replace(/"amount"\s*:\s*\+/g, '"amount": ');
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s = s.replace(/:\s*\+(\d)/g, ': $1');
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// Fix European number format with thousands separator
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s = s.replace(/"amount"\s*:\s*(-?)(\d{1,3})\.(\d{3})\.(\d{2})\b/g, '"amount": $1$2$3.$4');
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// Fix trailing commas before ] or }
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s = s.replace(/,\s*([}\]])/g, '$1');
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// Fix unescaped newlines/tabs inside strings
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s = s.replace(/"([^"\\]*)\n([^"]*)"/g, '"$1 $2"');
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s = s.replace(/"([^"\\]*)\t([^"]*)"/g, '"$1 $2"');
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// Remove control characters
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s = s.replace(/[\x00-\x08\x0B\x0C\x0E-\x1F]/g, ' ');
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return s;
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}
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/**
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* Parse amount from various formats
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*/
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function parseAmount(value: unknown): number {
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if (typeof value === 'number') return value;
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if (typeof value !== 'string') return 0;
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let s = value.replace(/[€$£\s]/g, '').replace('−', '-').replace('–', '-');
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// European format: comma is decimal
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if (s.includes(',') && s.indexOf(',') > s.lastIndexOf('.')) {
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s = s.replace(/\./g, '').replace(',', '.');
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} else {
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s = s.replace(/,/g, '');
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}
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return parseFloat(s) || 0;
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}
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/**
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* Parse JSON response into transactions
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*/
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function parseJsonResponse(response: string, queryId: string): ITransaction[] {
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console.log(` [${queryId}] Parsing response...`);
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// Remove thinking tags if present (Qwen3 may include <think>...</think>)
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let cleanResponse = response.replace(/<think>[\s\S]*?<\/think>/g, '').trim();
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// Try to find JSON in markdown code block
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const codeBlockMatch = cleanResponse.match(/```(?:json)?\s*([\s\S]*?)```/);
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let jsonStr = codeBlockMatch ? codeBlockMatch[1].trim() : cleanResponse;
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// Sanitize JSON
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jsonStr = sanitizeJson(jsonStr);
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try {
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const parsed = JSON.parse(jsonStr);
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if (Array.isArray(parsed)) {
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const txs = parsed.map(tx => ({
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date: String(tx.date || ''),
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counterparty: String(tx.counterparty || tx.description || ''),
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amount: parseAmount(tx.amount),
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}));
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console.log(` [${queryId}] Parsed ${txs.length} transactions`);
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return txs;
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}
|
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} catch (e) {
|
|||
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console.log(` [${queryId}] Direct parse failed: ${(e as Error).message}`);
|
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|
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// Try to find JSON array pattern
|
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const arrayMatch = jsonStr.match(/\[[\s\S]*\]/);
|
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if (arrayMatch) {
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try {
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const parsed = JSON.parse(sanitizeJson(arrayMatch[0]));
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if (Array.isArray(parsed)) {
|
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const txs = parsed.map(tx => ({
|
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date: String(tx.date || ''),
|
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|
counterparty: String(tx.counterparty || tx.description || ''),
|
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amount: parseAmount(tx.amount),
|
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}));
|
|||
|
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console.log(` [${queryId}] Parsed ${txs.length} transactions (array match)`);
|
|||
|
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return txs;
|
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|
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}
|
|||
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} catch (e2) {
|
|||
|
|
console.log(` [${queryId}] Array parse failed: ${(e2 as Error).message}`);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
console.log(` [${queryId}] PARSE FAILED - returning empty array`);
|
|||
|
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return [];
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* Compare two transaction arrays for consensus
|
|||
|
|
*/
|
|||
|
|
function transactionArraysMatch(a: ITransaction[], b: ITransaction[]): boolean {
|
|||
|
|
if (a.length !== b.length) return false;
|
|||
|
|
|
|||
|
|
for (let i = 0; i < a.length; i++) {
|
|||
|
|
const dateMatch = a[i].date === b[i].date;
|
|||
|
|
const amountMatch = Math.abs(a[i].amount - b[i].amount) < 0.01;
|
|||
|
|
if (!dateMatch || !amountMatch) return false;
|
|||
|
|
}
|
|||
|
|
|
|||
|
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return true;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* Stage 2: Extract transactions using Qwen3 with consensus
|
|||
|
|
*/
|
|||
|
|
async function extractWithConsensus(markdown: string): Promise<ITransaction[]> {
|
|||
|
|
const MAX_ATTEMPTS = 3;
|
|||
|
|
console.log(` [Stage 2] Extracting transactions with ${QWEN_MODEL} (consensus)...`);
|
|||
|
|
|
|||
|
|
for (let attempt = 1; attempt <= MAX_ATTEMPTS; attempt++) {
|
|||
|
|
console.log(`\n [Stage 2] --- Attempt ${attempt}/${MAX_ATTEMPTS} ---`);
|
|||
|
|
|
|||
|
|
// Extract twice in parallel
|
|||
|
|
const [txs1, txs2] = await Promise.all([
|
|||
|
|
extractTransactionsFromMarkdown(markdown, `A${attempt}Q1`),
|
|||
|
|
extractTransactionsFromMarkdown(markdown, `A${attempt}Q2`),
|
|||
|
|
]);
|
|||
|
|
|
|||
|
|
console.log(` [Stage 2] Results: Q1=${txs1.length} txs, Q2=${txs2.length} txs`);
|
|||
|
|
|
|||
|
|
if (txs1.length > 0 && transactionArraysMatch(txs1, txs2)) {
|
|||
|
|
console.log(` [Stage 2] CONSENSUS REACHED: ${txs1.length} transactions`);
|
|||
|
|
return txs1;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
console.log(` [Stage 2] NO CONSENSUS`);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// Fallback: use last response
|
|||
|
|
console.log(`\n [Stage 2] === FALLBACK ===`);
|
|||
|
|
const fallback = await extractTransactionsFromMarkdown(markdown, 'FALLBACK');
|
|||
|
|
console.log(` [Stage 2] ~ FALLBACK RESULT: ${fallback.length} transactions`);
|
|||
|
|
return fallback;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* Full pipeline: PDF -> Images -> Markdown -> JSON
|
|||
|
|
*/
|
|||
|
|
async function extractTransactions(images: string[]): Promise<ITransaction[]> {
|
|||
|
|
// Stage 1: Convert to markdown
|
|||
|
|
const markdown = await convertDocumentToMarkdown(images);
|
|||
|
|
|
|||
|
|
// Stage 2: Extract transactions with consensus
|
|||
|
|
const transactions = await extractWithConsensus(markdown);
|
|||
|
|
|
|||
|
|
// Log all transactions
|
|||
|
|
console.log(`\n [Result] Extracted ${transactions.length} transactions:`);
|
|||
|
|
for (let i = 0; i < transactions.length; i++) {
|
|||
|
|
const tx = transactions[i];
|
|||
|
|
console.log(` ${(i + 1).toString().padStart(2)}. ${tx.date} | ${tx.counterparty.substring(0, 30).padEnd(30)} | ${tx.amount >= 0 ? '+' : ''}${tx.amount.toFixed(2)}`);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return transactions;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* Compare extracted transactions against expected
|
|||
|
|
*/
|
|||
|
|
function compareTransactions(
|
|||
|
|
extracted: ITransaction[],
|
|||
|
|
expected: ITransaction[]
|
|||
|
|
): { matches: number; total: number; errors: string[]; variations: string[] } {
|
|||
|
|
const errors: string[] = [];
|
|||
|
|
const variations: string[] = [];
|
|||
|
|
let matches = 0;
|
|||
|
|
|
|||
|
|
for (let i = 0; i < expected.length; i++) {
|
|||
|
|
const exp = expected[i];
|
|||
|
|
const ext = extracted[i];
|
|||
|
|
|
|||
|
|
if (!ext) {
|
|||
|
|
errors.push(`Missing transaction ${i}: ${exp.date} ${exp.counterparty}`);
|
|||
|
|
continue;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
const dateMatch = ext.date === exp.date;
|
|||
|
|
const amountMatch = Math.abs(ext.amount - exp.amount) < 0.01;
|
|||
|
|
|
|||
|
|
if (dateMatch && amountMatch) {
|
|||
|
|
matches++;
|
|||
|
|
if (ext.counterparty !== exp.counterparty) {
|
|||
|
|
variations.push(`[${i}] "${exp.counterparty}" -> "${ext.counterparty}"`);
|
|||
|
|
}
|
|||
|
|
} else {
|
|||
|
|
errors.push(`Mismatch at ${i}: expected ${exp.date}/${exp.amount}, got ${ext.date}/${ext.amount}`);
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
if (extracted.length > expected.length) {
|
|||
|
|
errors.push(`Extra transactions: ${extracted.length - expected.length}`);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return { matches, total: expected.length, errors, variations };
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
/**
|
|||
|
|
* Find all test cases (PDF + JSON pairs) in .nogit/
|
|||
|
|
*/
|
|||
|
|
function findTestCases(): Array<{ name: string; pdfPath: string; jsonPath: string }> {
|
|||
|
|
const testDir = path.join(process.cwd(), '.nogit');
|
|||
|
|
if (!fs.existsSync(testDir)) {
|
|||
|
|
return [];
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
const files = fs.readdirSync(testDir);
|
|||
|
|
const pdfFiles = files.filter((f: string) => f.endsWith('.pdf'));
|
|||
|
|
const testCases: Array<{ name: string; pdfPath: string; jsonPath: string }> = [];
|
|||
|
|
|
|||
|
|
for (const pdf of pdfFiles) {
|
|||
|
|
const baseName = pdf.replace('.pdf', '');
|
|||
|
|
const jsonFile = `${baseName}.json`;
|
|||
|
|
if (files.includes(jsonFile)) {
|
|||
|
|
testCases.push({
|
|||
|
|
name: baseName,
|
|||
|
|
pdfPath: path.join(testDir, pdf),
|
|||
|
|
jsonPath: path.join(testDir, jsonFile),
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
return testCases.sort((a, b) => a.name.localeCompare(b.name));
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// Tests
|
|||
|
|
|
|||
|
|
tap.test('setup: ensure containers are running', async () => {
|
|||
|
|
console.log('\n[Setup] Checking Docker containers...\n');
|
|||
|
|
|
|||
|
|
// Nanonets for OCR
|
|||
|
|
const nanonetsOk = await ensureNanonetsOcr();
|
|||
|
|
expect(nanonetsOk).toBeTrue();
|
|||
|
|
|
|||
|
|
// Ollama for Qwen3
|
|||
|
|
const ollamaOk = await ensureMiniCpm();
|
|||
|
|
expect(ollamaOk).toBeTrue();
|
|||
|
|
|
|||
|
|
// Qwen3 model
|
|||
|
|
const qwenOk = await ensureQwen3();
|
|||
|
|
expect(qwenOk).toBeTrue();
|
|||
|
|
|
|||
|
|
console.log('\n[Setup] All containers ready!\n');
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
tap.test('should have models available', async () => {
|
|||
|
|
// Check Nanonets
|
|||
|
|
const nanonetsResp = await fetch(`${NANONETS_URL}/models`);
|
|||
|
|
expect(nanonetsResp.ok).toBeTrue();
|
|||
|
|
|
|||
|
|
// Check Qwen3
|
|||
|
|
const ollamaResp = await fetch(`${OLLAMA_URL}/api/tags`);
|
|||
|
|
expect(ollamaResp.ok).toBeTrue();
|
|||
|
|
const data = await ollamaResp.json();
|
|||
|
|
const modelNames = data.models.map((m: { name: string }) => m.name);
|
|||
|
|
expect(modelNames.some((name: string) => name.includes('qwen3'))).toBeTrue();
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
const testCases = findTestCases();
|
|||
|
|
console.log(`\nFound ${testCases.length} bank statement test cases (Nanonets + Qwen3)\n`);
|
|||
|
|
|
|||
|
|
let passedCount = 0;
|
|||
|
|
let failedCount = 0;
|
|||
|
|
|
|||
|
|
for (const testCase of testCases) {
|
|||
|
|
tap.test(`should extract: ${testCase.name}`, async () => {
|
|||
|
|
const expected: ITransaction[] = JSON.parse(fs.readFileSync(testCase.jsonPath, 'utf-8'));
|
|||
|
|
console.log(`\n=== ${testCase.name} ===`);
|
|||
|
|
console.log(`Expected: ${expected.length} transactions`);
|
|||
|
|
|
|||
|
|
const images = convertPdfToImages(testCase.pdfPath);
|
|||
|
|
console.log(` Pages: ${images.length}`);
|
|||
|
|
|
|||
|
|
const extracted = await extractTransactions(images);
|
|||
|
|
console.log(` Extracted: ${extracted.length} transactions`);
|
|||
|
|
|
|||
|
|
const result = compareTransactions(extracted, expected);
|
|||
|
|
const perfectMatch = result.matches === result.total && extracted.length === expected.length;
|
|||
|
|
|
|||
|
|
if (perfectMatch) {
|
|||
|
|
passedCount++;
|
|||
|
|
console.log(` Result: PASS (${result.matches}/${result.total})`);
|
|||
|
|
} else {
|
|||
|
|
failedCount++;
|
|||
|
|
console.log(` Result: FAIL (${result.matches}/${result.total})`);
|
|||
|
|
result.errors.slice(0, 10).forEach((e) => console.log(` - ${e}`));
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
if (result.variations.length > 0) {
|
|||
|
|
console.log(` Counterparty variations (${result.variations.length}):`);
|
|||
|
|
result.variations.slice(0, 5).forEach((v) => console.log(` ${v}`));
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
expect(result.matches).toEqual(result.total);
|
|||
|
|
expect(extracted.length).toEqual(expected.length);
|
|||
|
|
});
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
tap.test('summary', async () => {
|
|||
|
|
const total = testCases.length;
|
|||
|
|
console.log(`\n======================================================`);
|
|||
|
|
console.log(` Bank Statement Summary (Nanonets + Qwen3 Pipeline)`);
|
|||
|
|
console.log(`======================================================`);
|
|||
|
|
console.log(` Stage 1: Nanonets-OCR-s (document -> markdown)`);
|
|||
|
|
console.log(` Stage 2: Qwen3 8B (markdown -> JSON)`);
|
|||
|
|
console.log(` Passed: ${passedCount}/${total}`);
|
|||
|
|
console.log(` Failed: ${failedCount}/${total}`);
|
|||
|
|
console.log(`======================================================\n`);
|
|||
|
|
});
|
|||
|
|
|
|||
|
|
export default tap.start();
|