fix(tests): stabilize OCR extraction tests and manage GPU containers
This commit is contained in:
@@ -1,25 +1,26 @@
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/**
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* Bank statement extraction using Nanonets-OCR-s + Qwen3 (two-stage pipeline)
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* Bank statement extraction using Nanonets-OCR-s + GPT-OSS 20B (sequential 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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* Stage 1: Nanonets-OCR-s converts ALL document pages to markdown (stop after completion)
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* Stage 2: GPT-OSS 20B extracts structured JSON from saved markdown (after Nanonets stops)
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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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* This approach avoids GPU contention by running services sequentially.
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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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import { ensureNanonetsOcr, ensureMiniCpm, removeContainer, isContainerRunning } 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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const EXTRACTION_MODEL = 'gpt-oss:20b';
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// Temp directory for storing markdown between stages
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const TEMP_MD_DIR = path.join(os.tmpdir(), 'nanonets-markdown');
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interface ITransaction {
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date: string;
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@@ -27,6 +28,14 @@ interface ITransaction {
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amount: number;
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}
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interface ITestCase {
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name: string;
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pdfPath: string;
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jsonPath: string;
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markdownPath?: string;
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images?: string[];
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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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@@ -35,24 +44,10 @@ If there is an image in the document and image caption is not present, add a sma
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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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// JSON extraction prompt for GPT-OSS 20B
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const JSON_EXTRACTION_PROMPT = `Extract ALL transactions from this bank statement as JSON array. Each transaction: {"date": "YYYY-MM-DD", "counterparty": "NAME", "amount": -25.99}. Amount negative for debits, positive for credits. Only include actual transactions, not balances. Return ONLY JSON array, no explanation.
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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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STATEMENT:
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`;
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/**
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@@ -63,7 +58,6 @@ function convertPdfToImages(pdfPath: string): string[] {
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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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@@ -85,10 +79,9 @@ function convertPdfToImages(pdfPath: string): string[] {
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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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* 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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@@ -115,21 +108,20 @@ async function convertPageToMarkdown(image: string, pageNum: number): Promise<st
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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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throw new Error(`Nanonets API error: ${response.status} - ${errorText}`);
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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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console.log(` Page ${pageNum}: ${content.length} chars (${elapsed}s)`);
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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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* Convert all pages of a document to markdown
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*/
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async function convertDocumentToMarkdown(images: string[]): Promise<string> {
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console.log(` [Stage 1] Converting ${images.length} page(s) to markdown with Nanonets-OCR-s...`);
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async function convertDocumentToMarkdown(images: string[], docName: string): Promise<string> {
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console.log(` [${docName}] Converting ${images.length} page(s)...`);
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const markdownPages: string[] = [];
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@@ -139,21 +131,55 @@ async function convertDocumentToMarkdown(images: string[]): Promise<string> {
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}
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const fullMarkdown = markdownPages.join('\n\n');
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console.log(` [Stage 1] Complete: ${fullMarkdown.length} chars total`);
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console.log(` [${docName}] Complete: ${fullMarkdown.length} chars total`);
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return fullMarkdown;
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}
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/**
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* Ensure Qwen3 model is available
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* Stop Nanonets container
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*/
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async function ensureQwen3(): Promise<boolean> {
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function stopNanonets(): void {
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console.log(' [Docker] Stopping Nanonets container...');
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try {
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execSync('docker stop nanonets-test 2>/dev/null || true', { stdio: 'pipe' });
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// Wait for GPU memory to be released
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execSync('sleep 5', { stdio: 'pipe' });
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console.log(' [Docker] Nanonets stopped');
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} catch {
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console.log(' [Docker] Nanonets was not running');
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}
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}
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/**
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* Ensure GPT-OSS 20B model is available and warmed up
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*/
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async function ensureExtractionModel(): Promise<boolean> {
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try {
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const response = await fetch(`${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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if (models.some((m: { name: string }) => m.name === EXTRACTION_MODEL)) {
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console.log(` [Ollama] Model available: ${EXTRACTION_MODEL}`);
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// Warmup: send a simple request to ensure model is loaded
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console.log(` [Ollama] Warming up model...`);
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const warmupResponse = await fetch(`${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: EXTRACTION_MODEL,
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messages: [{ role: 'user', content: 'Return: [{"test": 1}]' }],
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stream: false,
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}),
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signal: AbortSignal.timeout(120000),
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});
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if (warmupResponse.ok) {
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const warmupData = await warmupResponse.json();
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console.log(` [Ollama] Warmup complete (${warmupData.message?.content?.length || 0} chars)`);
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}
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return true;
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}
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}
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@@ -161,77 +187,92 @@ async function ensureQwen3(): Promise<boolean> {
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return false;
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}
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console.log(` [Ollama] Pulling ${QWEN_MODEL}...`);
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console.log(` [Ollama] Pulling ${EXTRACTION_MODEL}...`);
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const pullResponse = await fetch(`${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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body: JSON.stringify({ name: EXTRACTION_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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* Extract transactions from markdown using GPT-OSS 20B (streaming)
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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 ${QWEN_MODEL}...`);
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console.log(` [${queryId}] Sending to ${EXTRACTION_MODEL}...`);
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console.log(` [${queryId}] Markdown length: ${markdown.length}`);
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const startTime = Date.now();
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const fullPrompt = JSON_EXTRACTION_PROMPT + markdown;
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console.log(` [${queryId}] Prompt preview: ${fullPrompt.substring(0, 200)}...`);
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const response = await fetch(`${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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model: EXTRACTION_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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content: fullPrompt,
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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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stream: true,
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}),
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signal: AbortSignal.timeout(600000), // 10 minute timeout
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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 elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
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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, ${content.length} chars)`);
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// Stream the response and log to console
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let content = '';
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const reader = response.body!.getReader();
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const decoder = new TextDecoder();
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process.stdout.write(` [${queryId}] `);
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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const chunk = decoder.decode(value, { stream: true });
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// Each line is a JSON object
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for (const line of chunk.split('\n').filter(l => l.trim())) {
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try {
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const json = JSON.parse(line);
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const token = json.message?.content || '';
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if (token) {
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process.stdout.write(token);
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content += token;
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}
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} catch {
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// Ignore parse errors for partial chunks
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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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console.log(`\n [${queryId}] Done: ${content.length} chars (${elapsed}s)`);
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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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* Sanitize JSON string
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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 $2"');
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// Remove control characters
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s = s.replace(/[\x00-\x08\x0B\x0C\x0E-\x1F]/g, ' ');
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return s;
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}
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@@ -243,7 +284,6 @@ function parseAmount(value: unknown): number {
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if (typeof value !== 'string') return 0;
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let s = value.replace(/[€$£\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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@@ -256,16 +296,14 @@ function parseAmount(value: unknown): number {
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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(` [${queryId}] Parsing response...`);
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// Remove thinking tags if present (Qwen3 may include <think>...</think>)
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// Remove thinking tags if present
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let cleanResponse = response.replace(/<think>[\s\S]*?<\/think>/g, '').trim();
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// Try to find JSON in markdown code block
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// Debug: show what we're working with
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console.log(` [${queryId}] Response preview: ${cleanResponse.substring(0, 300)}...`);
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const codeBlockMatch = cleanResponse.match(/```(?:json)?\s*([\s\S]*?)```/);
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let jsonStr = codeBlockMatch ? codeBlockMatch[1].trim() : cleanResponse;
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// Sanitize JSON
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jsonStr = sanitizeJson(jsonStr);
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try {
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@@ -280,11 +318,10 @@ function parseJsonResponse(response: string, queryId: string): ITransaction[] {
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return txs;
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}
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} catch (e) {
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console.log(` [${queryId}] Direct parse failed: ${(e as Error).message}`);
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// Try to find JSON array pattern
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// Try to find a JSON array in the text
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const arrayMatch = jsonStr.match(/\[[\s\S]*\]/);
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if (arrayMatch) {
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console.log(` [${queryId}] Array match found: ${arrayMatch[0].length} chars`);
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try {
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const parsed = JSON.parse(sanitizeJson(arrayMatch[0]));
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if (Array.isArray(parsed)) {
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@@ -296,93 +333,36 @@ function parseJsonResponse(response: string, queryId: string): ITransaction[] {
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console.log(` [${queryId}] Parsed ${txs.length} transactions (array match)`);
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return txs;
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}
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} catch (e2) {
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console.log(` [${queryId}] Array parse failed: ${(e2 as Error).message}`);
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} catch (innerErr) {
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console.log(` [${queryId}] Array parse error: ${(innerErr as Error).message}`);
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}
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} else {
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console.log(` [${queryId}] No JSON array found in response`);
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}
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}
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console.log(` [${queryId}] PARSE FAILED - returning empty array`);
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console.log(` [${queryId}] PARSE FAILED`);
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return [];
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}
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/**
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* Compare two transaction arrays for consensus
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* Extract transactions (single pass)
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*/
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function transactionArraysMatch(a: ITransaction[], b: ITransaction[]): boolean {
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if (a.length !== b.length) return false;
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for (let i = 0; i < a.length; i++) {
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const dateMatch = a[i].date === b[i].date;
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const amountMatch = Math.abs(a[i].amount - b[i].amount) < 0.01;
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if (!dateMatch || !amountMatch) return false;
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}
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return true;
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async function extractTransactions(markdown: string, docName: string): Promise<ITransaction[]> {
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console.log(` [${docName}] Extracting...`);
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const txs = await extractTransactionsFromMarkdown(markdown, docName);
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console.log(` [${docName}] Extracted ${txs.length} transactions`);
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return txs;
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}
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/**
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* Stage 2: Extract transactions using Qwen3 with consensus
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*/
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async function extractWithConsensus(markdown: string): Promise<ITransaction[]> {
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const MAX_ATTEMPTS = 3;
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console.log(` [Stage 2] Extracting transactions with ${QWEN_MODEL} (consensus)...`);
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for (let attempt = 1; attempt <= MAX_ATTEMPTS; attempt++) {
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console.log(`\n [Stage 2] --- Attempt ${attempt}/${MAX_ATTEMPTS} ---`);
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// Extract twice in parallel
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const [txs1, txs2] = await Promise.all([
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extractTransactionsFromMarkdown(markdown, `A${attempt}Q1`),
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extractTransactionsFromMarkdown(markdown, `A${attempt}Q2`),
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]);
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console.log(` [Stage 2] Results: Q1=${txs1.length} txs, Q2=${txs2.length} txs`);
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if (txs1.length > 0 && transactionArraysMatch(txs1, txs2)) {
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console.log(` [Stage 2] CONSENSUS REACHED: ${txs1.length} transactions`);
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return txs1;
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}
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console.log(` [Stage 2] NO CONSENSUS`);
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}
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// Fallback: use last response
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console.log(`\n [Stage 2] === FALLBACK ===`);
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const fallback = await extractTransactionsFromMarkdown(markdown, 'FALLBACK');
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console.log(` [Stage 2] ~ FALLBACK RESULT: ${fallback.length} transactions`);
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return fallback;
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}
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/**
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* 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
|
||||
* Compare transactions
|
||||
*/
|
||||
function compareTransactions(
|
||||
extracted: ITransaction[],
|
||||
expected: ITransaction[]
|
||||
): { matches: number; total: number; errors: string[]; variations: string[] } {
|
||||
): { matches: number; total: number; errors: string[] } {
|
||||
const errors: string[] = [];
|
||||
const variations: string[] = [];
|
||||
let matches = 0;
|
||||
|
||||
for (let i = 0; i < expected.length; i++) {
|
||||
@@ -390,7 +370,7 @@ function compareTransactions(
|
||||
const ext = extracted[i];
|
||||
|
||||
if (!ext) {
|
||||
errors.push(`Missing transaction ${i}: ${exp.date} ${exp.counterparty}`);
|
||||
errors.push(`Missing tx ${i}: ${exp.date} ${exp.counterparty}`);
|
||||
continue;
|
||||
}
|
||||
|
||||
@@ -399,11 +379,8 @@ function compareTransactions(
|
||||
|
||||
if (dateMatch && amountMatch) {
|
||||
matches++;
|
||||
if (ext.counterparty !== exp.counterparty) {
|
||||
variations.push(`[${i}] "${exp.counterparty}" -> "${ext.counterparty}"`);
|
||||
}
|
||||
} else {
|
||||
errors.push(`Mismatch at ${i}: expected ${exp.date}/${exp.amount}, got ${ext.date}/${ext.amount}`);
|
||||
errors.push(`Mismatch ${i}: exp ${exp.date}/${exp.amount}, got ${ext.date}/${ext.amount}`);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -411,23 +388,20 @@ function compareTransactions(
|
||||
errors.push(`Extra transactions: ${extracted.length - expected.length}`);
|
||||
}
|
||||
|
||||
return { matches, total: expected.length, errors, variations };
|
||||
return { matches, total: expected.length, errors };
|
||||
}
|
||||
|
||||
/**
|
||||
* Find all test cases (PDF + JSON pairs) in .nogit/
|
||||
* Find all test cases
|
||||
*/
|
||||
function findTestCases(): Array<{ name: string; pdfPath: string; jsonPath: string }> {
|
||||
function findTestCases(): ITestCase[] {
|
||||
const testDir = path.join(process.cwd(), '.nogit');
|
||||
if (!fs.existsSync(testDir)) {
|
||||
return [];
|
||||
}
|
||||
if (!fs.existsSync(testDir)) return [];
|
||||
|
||||
const files = fs.readdirSync(testDir);
|
||||
const pdfFiles = files.filter((f: string) => f.endsWith('.pdf'));
|
||||
const testCases: Array<{ name: string; pdfPath: string; jsonPath: string }> = [];
|
||||
const testCases: ITestCase[] = [];
|
||||
|
||||
for (const pdf of pdfFiles) {
|
||||
for (const pdf of files.filter((f: string) => f.endsWith('.pdf'))) {
|
||||
const baseName = pdf.replace('.pdf', '');
|
||||
const jsonFile = `${baseName}.json`;
|
||||
if (files.includes(jsonFile)) {
|
||||
@@ -442,72 +416,142 @@ function findTestCases(): Array<{ name: string; pdfPath: string; jsonPath: strin
|
||||
return testCases.sort((a, b) => a.name.localeCompare(b.name));
|
||||
}
|
||||
|
||||
// Tests
|
||||
// ============ TESTS ============
|
||||
|
||||
tap.test('setup: ensure containers are running', async () => {
|
||||
console.log('\n[Setup] Checking Docker containers...\n');
|
||||
const testCases = findTestCases();
|
||||
console.log(`\nFound ${testCases.length} bank statement test cases\n`);
|
||||
|
||||
// Nanonets for OCR
|
||||
const nanonetsOk = await ensureNanonetsOcr();
|
||||
expect(nanonetsOk).toBeTrue();
|
||||
// Ensure temp directory exists
|
||||
if (!fs.existsSync(TEMP_MD_DIR)) {
|
||||
fs.mkdirSync(TEMP_MD_DIR, { recursive: true });
|
||||
}
|
||||
|
||||
// -------- STAGE 1: OCR with Nanonets --------
|
||||
|
||||
// Check if all markdown files already exist
|
||||
function allMarkdownFilesExist(): boolean {
|
||||
for (const tc of testCases) {
|
||||
const mdPath = path.join(TEMP_MD_DIR, `${tc.name}.md`);
|
||||
if (!fs.existsSync(mdPath)) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
// Track whether we need to run Stage 1
|
||||
let stage1Needed = !allMarkdownFilesExist();
|
||||
|
||||
tap.test('Stage 1: Setup Nanonets', async () => {
|
||||
console.log('\n========== STAGE 1: Nanonets OCR ==========\n');
|
||||
|
||||
if (!stage1Needed) {
|
||||
console.log(' [SKIP] All markdown files already exist, skipping Nanonets setup');
|
||||
return;
|
||||
}
|
||||
|
||||
const ok = await ensureNanonetsOcr();
|
||||
expect(ok).toBeTrue();
|
||||
});
|
||||
|
||||
tap.test('Stage 1: Convert all documents to markdown', async () => {
|
||||
if (!stage1Needed) {
|
||||
console.log(' [SKIP] Using existing markdown files from previous run\n');
|
||||
// Load existing markdown paths
|
||||
for (const tc of testCases) {
|
||||
tc.markdownPath = path.join(TEMP_MD_DIR, `${tc.name}.md`);
|
||||
console.log(` Loaded: ${tc.markdownPath}`);
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
console.log('\n Converting all PDFs to markdown with Nanonets-OCR-s...\n');
|
||||
|
||||
for (const tc of testCases) {
|
||||
console.log(`\n === ${tc.name} ===`);
|
||||
|
||||
// Convert PDF to images
|
||||
const images = convertPdfToImages(tc.pdfPath);
|
||||
console.log(` Pages: ${images.length}`);
|
||||
|
||||
// Convert to markdown
|
||||
const markdown = await convertDocumentToMarkdown(images, tc.name);
|
||||
|
||||
// Save markdown to temp file
|
||||
const mdPath = path.join(TEMP_MD_DIR, `${tc.name}.md`);
|
||||
fs.writeFileSync(mdPath, markdown);
|
||||
tc.markdownPath = mdPath;
|
||||
console.log(` Saved: ${mdPath}`);
|
||||
}
|
||||
|
||||
console.log('\n Stage 1 complete: All documents converted to markdown\n');
|
||||
});
|
||||
|
||||
tap.test('Stage 1: Stop Nanonets', async () => {
|
||||
if (!stage1Needed) {
|
||||
console.log(' [SKIP] Nanonets was not started');
|
||||
return;
|
||||
}
|
||||
|
||||
stopNanonets();
|
||||
// Verify it's stopped
|
||||
await new Promise(resolve => setTimeout(resolve, 3000));
|
||||
expect(isContainerRunning('nanonets-test')).toBeFalse();
|
||||
});
|
||||
|
||||
// -------- STAGE 2: Extraction with GPT-OSS 20B --------
|
||||
|
||||
tap.test('Stage 2: Setup Ollama + GPT-OSS 20B', async () => {
|
||||
console.log('\n========== STAGE 2: GPT-OSS 20B Extraction ==========\n');
|
||||
|
||||
// Ollama for Qwen3
|
||||
const ollamaOk = await ensureMiniCpm();
|
||||
expect(ollamaOk).toBeTrue();
|
||||
|
||||
// Qwen3 model
|
||||
const qwenOk = await ensureQwen3();
|
||||
expect(qwenOk).toBeTrue();
|
||||
|
||||
console.log('\n[Setup] All containers ready!\n');
|
||||
const extractionOk = await ensureExtractionModel();
|
||||
expect(extractionOk).toBeTrue();
|
||||
});
|
||||
|
||||
tap.test('should have models available', async () => {
|
||||
// Check Nanonets
|
||||
const nanonetsResp = await fetch(`${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`);
|
||||
for (const tc of testCases) {
|
||||
tap.test(`Stage 2: Extract ${tc.name}`, async () => {
|
||||
const expected: ITransaction[] = JSON.parse(fs.readFileSync(tc.jsonPath, 'utf-8'));
|
||||
console.log(`\n === ${tc.name} ===`);
|
||||
console.log(` Expected: ${expected.length} transactions`);
|
||||
|
||||
const images = convertPdfToImages(testCase.pdfPath);
|
||||
console.log(` Pages: ${images.length}`);
|
||||
// Load saved markdown
|
||||
const mdPath = path.join(TEMP_MD_DIR, `${tc.name}.md`);
|
||||
if (!fs.existsSync(mdPath)) {
|
||||
throw new Error(`Markdown not found: ${mdPath}. Run Stage 1 first.`);
|
||||
}
|
||||
const markdown = fs.readFileSync(mdPath, 'utf-8');
|
||||
console.log(` Markdown: ${markdown.length} chars`);
|
||||
|
||||
const extracted = await extractTransactions(images);
|
||||
console.log(` Extracted: ${extracted.length} transactions`);
|
||||
// Extract transactions (single pass)
|
||||
const extracted = await extractTransactions(markdown, tc.name);
|
||||
|
||||
const result = compareTransactions(extracted, expected);
|
||||
const perfectMatch = result.matches === result.total && extracted.length === expected.length;
|
||||
|
||||
if (perfectMatch) {
|
||||
passedCount++;
|
||||
console.log(` Result: PASS (${result.matches}/${result.total})`);
|
||||
} else {
|
||||
failedCount++;
|
||||
console.log(` Result: FAIL (${result.matches}/${result.total})`);
|
||||
result.errors.slice(0, 10).forEach((e) => console.log(` - ${e}`));
|
||||
// Log results
|
||||
console.log(` Extracted: ${extracted.length} transactions`);
|
||||
for (let i = 0; i < Math.min(extracted.length, 5); i++) {
|
||||
const tx = extracted[i];
|
||||
console.log(` ${i + 1}. ${tx.date} | ${tx.counterparty.substring(0, 25).padEnd(25)} | ${tx.amount >= 0 ? '+' : ''}${tx.amount.toFixed(2)}`);
|
||||
}
|
||||
if (extracted.length > 5) {
|
||||
console.log(` ... and ${extracted.length - 5} more`);
|
||||
}
|
||||
|
||||
if (result.variations.length > 0) {
|
||||
console.log(` Counterparty variations (${result.variations.length}):`);
|
||||
result.variations.slice(0, 5).forEach((v) => console.log(` ${v}`));
|
||||
// Compare
|
||||
const result = compareTransactions(extracted, expected);
|
||||
const pass = result.matches === result.total && extracted.length === expected.length;
|
||||
|
||||
if (pass) {
|
||||
passedCount++;
|
||||
console.log(` Result: PASS (${result.matches}/${result.total})`);
|
||||
} else {
|
||||
failedCount++;
|
||||
console.log(` Result: FAIL (${result.matches}/${result.total})`);
|
||||
result.errors.slice(0, 5).forEach(e => console.log(` - ${e}`));
|
||||
}
|
||||
|
||||
expect(result.matches).toEqual(result.total);
|
||||
@@ -515,16 +559,27 @@ for (const testCase of testCases) {
|
||||
});
|
||||
}
|
||||
|
||||
tap.test('summary', async () => {
|
||||
const total = testCases.length;
|
||||
tap.test('Summary', async () => {
|
||||
console.log(`\n======================================================`);
|
||||
console.log(` Bank Statement Summary (Nanonets + Qwen3 Pipeline)`);
|
||||
console.log(` Bank Statement Summary (Nanonets + GPT-OSS 20B Sequential)`);
|
||||
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(` Stage 2: GPT-OSS 20B (markdown -> JSON)`);
|
||||
console.log(` Passed: ${passedCount}/${testCases.length}`);
|
||||
console.log(` Failed: ${failedCount}/${testCases.length}`);
|
||||
console.log(`======================================================\n`);
|
||||
|
||||
// Only cleanup temp files if ALL tests passed
|
||||
if (failedCount === 0 && passedCount === testCases.length) {
|
||||
try {
|
||||
fs.rmSync(TEMP_MD_DIR, { recursive: true, force: true });
|
||||
console.log(` Cleaned up temp directory: ${TEMP_MD_DIR}\n`);
|
||||
} catch {
|
||||
// Ignore
|
||||
}
|
||||
} else {
|
||||
console.log(` Keeping temp directory for debugging: ${TEMP_MD_DIR}\n`);
|
||||
}
|
||||
});
|
||||
|
||||
export default tap.start();
|
||||
|
||||
Reference in New Issue
Block a user