microdao-daarion/CRAWL4AI-STATUS.md

🌐 Crawl4AI Service — Status

Версія: 1.0.0 (MVP)
Останнє оновлення: 2025-01-17
Статус: ✅ Implemented (MVP Ready)

---

🎯 Overview

Crawl4AI Service — веб-краулер для автоматичного завантаження та обробки веб-контенту (HTML, PDF, зображення) через PARSER Service. Інтегрований з OCR pipeline для автоматичної обробки документів з URLs.

Документація:

• docs/cursor/crawl4ai_web_crawler_task.md — Implementation task
• docs/cursor/CRAWL4AI_SERVICE_REPORT.md — Detailed report

---

✅ Implementation Complete

Дата завершення: 2025-01-17

Core Module

Location: services/parser-service/app/crawler/crawl4ai_service.py
Lines of Code: 204

Functions:

• ✅ crawl_url() — Краулінг веб-сторінок (markdown/text/HTML)
  • Async/sync support
  • Playwright integration (optional)
  • Timeout handling
  • Error handling with fallback
• ✅ download_document() — Завантаження PDF та images
  • HTTP download with streaming
  • Content-Type validation
  • Size limits
• ✅ Async context manager — Automatic cleanup
• ✅ Lazy initialization — Initialize only when used

---

Integration with PARSER Service

Location: services/parser-service/app/api/endpoints.py (lines 117-223)

Implemented:

• ✅ Replaced TODO with full doc_url implementation
• ✅ Automatic type detection (PDF/Image/HTML)
• ✅ Integration with existing OCR pipeline
• ✅ Flow:
  • PDF/Images: Download → OCR
  • HTML: Crawl → Markdown → Text → Image → OCR

Endpoints:

• POST /ocr/parse — With doc_url parameter
• POST /ocr/parse_markdown — With doc_url parameter
• POST /ocr/parse_qa — With doc_url parameter
• POST /ocr/parse_chunks — With doc_url parameter

---

Configuration

Location: services/parser-service/app/core/config.py

Parameters:

CRAWL4AI_ENABLED = True          # Enable/disable crawler
CRAWL4AI_USE_PLAYWRIGHT = False  # Use Playwright for JS rendering
CRAWL4AI_TIMEOUT = 30            # Request timeout (seconds)
CRAWL4AI_MAX_PAGES = 1           # Max pages to crawl

Environment Variables:

CRAWL4AI_ENABLED=true
CRAWL4AI_USE_PLAYWRIGHT=false
CRAWL4AI_TIMEOUT=30
CRAWL4AI_MAX_PAGES=1

---

Dependencies

File: services/parser-service/requirements.txt

crawl4ai>=0.3.0  # Web crawler with async support

Optional (for Playwright):

# If CRAWL4AI_USE_PLAYWRIGHT=true
playwright install chromium

---

Integration with Router

Location: providers/ocr_provider.py

Updated:

• ✅ Pass doc_url as form data to PARSER Service
• ✅ Support for doc_url parameter in RouterRequest

Usage Example:

# Via Router
response = await router_client.route_request(
    mode="doc_parse",
    dao_id="test-dao",
    payload={
        "doc_url": "https://example.com/document.pdf",
        "output_mode": "qa_pairs"
    }
)

---

🌐 Supported Formats

1. PDF Documents

• ✅ Download via HTTP/HTTPS
• ✅ Pass to OCR pipeline
• ✅ Convert to images → Parse

2. Images

• ✅ Formats: PNG, JPEG, GIF, TIFF, BMP
• ✅ Download and validate
• ✅ Pass to OCR pipeline

3. HTML Pages

• ✅ Crawl and extract content
• ✅ Convert to Markdown
• ✅ Basic text → image conversion
• ⚠️ Limitation: Simple text rendering (max 5000 chars, 60 lines)

4. JavaScript-Rendered Pages (Optional)

• ✅ Playwright integration available
• ⚠️ Disabled by default (performance)
• 🔧 Enable: CRAWL4AI_USE_PLAYWRIGHT=true

---

🔄 Data Flow

User Request
    │
    ▼
┌────────────┐
│  Gateway   │
└─────┬──────┘
      │
      ▼
┌────────────┐
│   Router   │
└─────┬──────┘
      │ doc_url
      ▼
┌────────────┐
│   PARSER   │
│  Service   │
└─────┬──────┘
      │
      ▼
┌──────────────┐
│ Crawl4AI Svc │
└─────┬────────┘
      │
  ┌───┴────┐
  │        │
  ▼        ▼
PDF/IMG  HTML
  │        │
  │    ┌───┴───┐
  │    │ Crawl │
  │    │Extract│
  │    └───┬───┘
  │        │
  └────┬───┘
       ▼
  ┌──────────┐
  │   OCR    │
  │ Pipeline │
  └─────┬────┘
        │
        ▼
  ┌──────────┐
  │  Parsed  │
  │ Document │
  └──────────┘

---

📊 Statistics

Code Size:

• Crawler module: 204 lines
• Integration code: 107 lines
• Total: ~311 lines

Configuration:

• Parameters: 4
• Environment variables: 4

Dependencies:

• New: 1 (crawl4ai)
• Optional: Playwright (for JS rendering)

Supported Formats: 3 (PDF, Images, HTML)

---

⚠️ Known Limitations

1. HTML → Image Conversion (Basic)

Current Implementation:

• Simple text rendering with PIL
• Max 5000 characters
• Max 60 lines
• Fixed width font

Limitations:

• ❌ No CSS/styling support
• ❌ No complex layouts
• ❌ No images in HTML

Recommendation:

# Add WeasyPrint for proper HTML rendering
pip install weasyprint
# Renders HTML → PDF → Images with proper layout

2. No Caching

Current State:

• Every request downloads page again
• No deduplication

Recommendation:

# Add Redis cache
cache_key = f"crawl:{url_hash}"
if cached := redis.get(cache_key):
    return cached
result = await crawl_url(url)
redis.setex(cache_key, 3600, result)  # 1 hour TTL

3. No Rate Limiting

Current State:

• Unlimited requests to target sites
• Risk of IP blocking

Recommendation:

# Add rate limiter
from slowapi import Limiter
limiter = Limiter(key_func=get_remote_address)

@app.post("/ocr/parse")
@limiter.limit("10/minute")  # Max 10 requests per minute
async def parse_document(...):
    ...

4. No Tests

Current State:

• ❌ No unit tests
• ❌ No integration tests
• ❌ No E2E tests

Recommendation:

• Add tests/test_crawl4ai_service.py
• Mock HTTP requests
• Test error handling

5. No robots.txt Support

Current State:

• Ignores robots.txt
• Risk of crawling restricted content

Recommendation:

from urllib.robotparser import RobotFileParser
rp = RobotFileParser()
rp.set_url(f"{url}/robots.txt")
rp.read()
if not rp.can_fetch("*", url):
    raise ValueError("Crawling not allowed by robots.txt")

---

🧪 Testing

Manual Testing

Test PDF Download:

curl -X POST http://localhost:9400/ocr/parse \
  -H "Content-Type: multipart/form-data" \
  -F "doc_url=https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf" \
  -F "output_mode=markdown"

Test HTML Crawl:

curl -X POST http://localhost:9400/ocr/parse \
  -H "Content-Type: multipart/form-data" \
  -F "doc_url=https://example.com" \
  -F "output_mode=text"

Test via Router:

curl -X POST http://localhost:9102/route \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "doc_parse",
    "dao_id": "test-dao",
    "payload": {
      "doc_url": "https://example.com/doc.pdf",
      "output_mode": "qa_pairs"
    }
  }'

Unit Tests (To be implemented)

File: tests/test_crawl4ai_service.py

import pytest
from app.crawler.crawl4ai_service import Crawl4AIService

@pytest.mark.asyncio
async def test_crawl_url():
    service = Crawl4AIService()
    result = await service.crawl_url("https://example.com")
    assert result is not None
    assert "text" in result or "markdown" in result

@pytest.mark.asyncio
async def test_download_document():
    service = Crawl4AIService()
    content = await service.download_document("https://example.com/doc.pdf")
    assert content is not None
    assert len(content) > 0

---

🚀 Deployment

Docker Compose

Already configured in: docker-compose.yml

services:
  parser-service:
    build: ./services/parser-service
    environment:
      - CRAWL4AI_ENABLED=true
      - CRAWL4AI_USE_PLAYWRIGHT=false
      - CRAWL4AI_TIMEOUT=30
      - CRAWL4AI_MAX_PAGES=1
    ports:
      - "9400:9400"

Start Service

# Start PARSER Service with Crawl4AI
docker-compose up -d parser-service

# Check logs
docker-compose logs -f parser-service | grep -i crawl

# Health check
curl http://localhost:9400/health

Enable Playwright (Optional)

# Update docker-compose.yml
environment:
  - CRAWL4AI_USE_PLAYWRIGHT=true

# Install Playwright in container
docker-compose exec parser-service playwright install chromium

# Restart
docker-compose restart parser-service

---

📝 Next Steps

Phase 1: Bug Fixes & Testing (Priority 1)

• Add unit tests — Test crawl_url() and download_document()
• Add integration tests — Test full flow with mocked HTTP
• Fix HTML rendering — Implement WeasyPrint for proper HTML → PDF
• Error handling improvements — Better error messages and logging

Phase 2: Performance & Reliability (Priority 2)

• Add caching — Redis cache for crawled content (1 hour TTL)
• Add rate limiting — Per-IP limits (10 req/min)
• Add robots.txt support — Respect crawling rules
• Optimize large pages — Chunking for > 5000 chars

Phase 3: Advanced Features (Priority 3)

• Sitemap support — Crawl multiple pages from sitemap
• Link extraction — Extract and follow links
• Content filtering — Remove ads, navigation, etc.
• Screenshot capture — Full-page screenshots with Playwright
• PDF generation from HTML — Proper HTML → PDF conversion

---

🔗 Related Documentation

• TODO-PARSER-RAG.md — PARSER Agent roadmap
• INFRASTRUCTURE.md — Server infrastructure
• WARP.md — Developer guide
• docs/cursor/crawl4ai_web_crawler_task.md — Implementation task
• docs/cursor/CRAWL4AI_SERVICE_REPORT.md — Detailed report
• docs/agents/parser.md — PARSER Agent documentation

---

📊 Service Integration Map

┌─────────────────────────────────────────────┐
│         DAGI Stack Services                 │
└──────────┬──────────────────────────────────┘
           │
    ┌──────┴──────────┐
    │                 │
    ▼                 ▼
┌──────────┐     ┌──────────┐
│  Router  │────▶│ PARSER   │
│  (9102)  │     │ Service  │
└──────────┘     │ (9400)   │
                 └─────┬────┘
                       │
                 ┌─────┴─────┐
                 │           │
                 ▼           ▼
          ┌──────────┐ ┌──────────┐
          │ Crawl4AI │ │   OCR    │
          │  Service │ │ Pipeline │
          └──────────┘ └──────────┘
                 │           │
                 └─────┬─────┘
                       ▼
                ┌──────────────┐
                │    RAG       │
                │   Service    │
                │   (9500)     │
                └──────────────┘

---

Статус: ✅ MVP Complete
Next: Testing + HTML rendering improvements
Last Updated: 2025-01-17 by WARP AI
Maintained by: Ivan Tytar & DAARION Team