596 lines
28 KiB
Python
596 lines
28 KiB
Python
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# ==== File: test_rest_api_deep_crawl.py ====
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import pytest
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import pytest_asyncio
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import httpx
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import json
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import asyncio
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import os
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from typing import List, Dict, Any, AsyncGenerator
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from dotenv import load_dotenv
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load_dotenv() # Load environment variables from .env file if present
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# --- Test Configuration ---
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BASE_URL = os.getenv("CRAWL4AI_TEST_URL", "http://localhost:11235") # Ensure this points to your running server
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BASE_URL = os.getenv("CRAWL4AI_TEST_URL", "http://localhost:8020") # Ensure this points to your running server
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DEEP_CRAWL_BASE_URL = "https://docs.crawl4ai.com/samples/deepcrawl/"
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DEEP_CRAWL_DOMAIN = "docs.crawl4ai.com" # Used for domain filter
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# --- Helper Functions ---
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def load_proxies_from_env() -> List[Dict]:
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"""Load proxies from PROXIES environment variable"""
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proxies = []
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proxies_str = os.getenv("PROXIES", "")
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if not proxies_str:
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print("PROXIES environment variable not set or empty.")
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return proxies
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try:
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proxy_list = proxies_str.split(",")
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for proxy in proxy_list:
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proxy = proxy.strip()
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if not proxy:
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continue
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parts = proxy.split(":")
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if len(parts) == 4:
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ip, port, username, password = parts
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proxies.append({
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"server": f"http://{ip}:{port}", # Assuming http, adjust if needed
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"username": username,
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"password": password,
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"ip": ip # Store original IP if available
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})
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elif len(parts) == 2: # ip:port only
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ip, port = parts
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proxies.append({
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"server": f"http://{ip}:{port}",
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"ip": ip
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})
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else:
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print(f"Skipping invalid proxy string format: {proxy}")
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except Exception as e:
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print(f"Error loading proxies from environment: {e}")
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return proxies
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async def check_server_health(client: httpx.AsyncClient):
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"""Check if the server is healthy before running tests."""
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try:
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response = await client.get("/health")
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response.raise_for_status()
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print(f"\nServer healthy: {response.json()}")
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return True
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except (httpx.RequestError, httpx.HTTPStatusError) as e:
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pytest.fail(f"Server health check failed: {e}. Is the server running at {BASE_URL}?", pytrace=False)
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async def assert_crawl_result_structure(result: Dict[str, Any], check_ssl=False):
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"""Asserts the basic structure of a single crawl result."""
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assert isinstance(result, dict)
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assert "url" in result
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assert "success" in result
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assert "html" in result # Basic crawls should return HTML
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assert "metadata" in result
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assert isinstance(result["metadata"], dict)
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assert "depth" in result["metadata"] # Deep crawls add depth
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if check_ssl:
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assert "ssl_certificate" in result # Check if SSL info is present
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assert isinstance(result["ssl_certificate"], dict) or result["ssl_certificate"] is None
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async def process_streaming_response(response: httpx.Response) -> List[Dict[str, Any]]:
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"""Processes an NDJSON streaming response."""
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results = []
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completed = False
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async for line in response.aiter_lines():
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if line:
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try:
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data = json.loads(line)
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if data.get("status") == "completed":
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completed = True
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break # Stop processing after completion marker
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elif data.get("url"): # Ensure it looks like a result object
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results.append(data)
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else:
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print(f"Received non-result JSON line: {data}") # Log other status messages if needed
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except json.JSONDecodeError:
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pytest.fail(f"Failed to decode JSON line: {line}")
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assert completed, "Streaming response did not end with a completion marker."
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return results
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# --- Pytest Fixtures ---
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@pytest_asyncio.fixture(scope="function")
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async def async_client() -> AsyncGenerator[httpx.AsyncClient, None]:
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"""Provides an async HTTP client"""
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# Increased timeout for potentially longer deep crawls
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async with httpx.AsyncClient(base_url=BASE_URL, timeout=300.0) as client:
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yield client
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# No explicit close needed with 'async with'
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# --- Test Class ---
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@pytest.mark.asyncio
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class TestDeepCrawlEndpoints:
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@pytest_asyncio.fixture(autouse=True)
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async def check_health_before_tests(self, async_client: httpx.AsyncClient):
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"""Fixture to ensure server is healthy before each test in the class."""
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await check_server_health(async_client)
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# 1. Basic Deep Crawl
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# async def test_deep_crawl_basic_bfs(self, async_client: httpx.AsyncClient):
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# """Test BFS deep crawl with limited depth and pages."""
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# max_depth = 1
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# max_pages = 3 # start_url + 2 more
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# payload = {
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# "urls": [DEEP_CRAWL_BASE_URL],
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# "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
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# "crawler_config": {
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# "type": "CrawlerRunConfig",
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# "params": {
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# "stream": False,
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# "cache_mode": "BYPASS", # Use string value for CacheMode
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# "deep_crawl_strategy": {
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# "type": "BFSDeepCrawlStrategy",
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# "params": {
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# "max_depth": max_depth,
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# "max_pages": max_pages,
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# # Minimal filters for basic test
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# "filter_chain": {
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# "type": "FilterChain",
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# "params": {
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# "filters": [
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# {
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# "type": "DomainFilter",
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# "params": {"allowed_domains": [DEEP_CRAWL_DOMAIN]}
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# }
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# ]
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# }
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# }
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# }
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# }
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# }
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# }
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# }
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# response = await async_client.post("/crawl", json=payload)
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# response.raise_for_status()
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# data = response.json()
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# assert data["success"] is True
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# assert isinstance(data["results"], list)
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# assert len(data["results"]) > 1 # Should be more than just the start URL
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# assert len(data["results"]) <= max_pages # Respect max_pages
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# found_depth_0 = False
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# found_depth_1 = False
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# for result in data["results"]:
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# await assert_crawl_result_structure(result)
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# assert result["success"] is True
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# assert DEEP_CRAWL_DOMAIN in result["url"]
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# depth = result["metadata"]["depth"]
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# assert depth <= max_depth
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# if depth == 0: found_depth_0 = True
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# if depth == 1: found_depth_1 = True
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# assert found_depth_0
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# assert found_depth_1
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# # 2. Deep Crawl with Filtering
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# async def test_deep_crawl_with_filters(self, async_client: httpx.AsyncClient):
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# """Test BFS deep crawl with content type and domain filters."""
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# max_depth = 1
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# max_pages = 5
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# payload = {
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# "urls": [DEEP_CRAWL_BASE_URL],
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# "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
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# "crawler_config": {
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# "type": "CrawlerRunConfig",
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# "params": {
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# "stream": False,
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# "cache_mode": "BYPASS",
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# "deep_crawl_strategy": {
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# "type": "BFSDeepCrawlStrategy",
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# "params": {
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# "max_depth": max_depth,
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# "max_pages": max_pages,
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# "filter_chain": {
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# "type": "FilterChain",
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# "params": {
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# "filters": [
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# {
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# "type": "DomainFilter",
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# "params": {"allowed_domains": [DEEP_CRAWL_DOMAIN]}
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# },
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# {
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# "type": "ContentTypeFilter",
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# "params": {"allowed_types": ["text/html"]}
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# },
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# # Example: Exclude specific paths using regex
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# {
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# "type": "URLPatternFilter",
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# "params": {
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# "patterns": ["*/category-3/*"], # Block category 3
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# "reverse": True # Block if match
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# }
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# }
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# ]
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# }
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# }
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# }
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# }
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# }
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# }
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# }
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# response = await async_client.post("/crawl", json=payload)
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# response.raise_for_status()
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# data = response.json()
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# assert data["success"] is True
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# assert len(data["results"]) > 0
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# assert len(data["results"]) <= max_pages
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# for result in data["results"]:
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# await assert_crawl_result_structure(result)
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# assert result["success"] is True
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# assert DEEP_CRAWL_DOMAIN in result["url"]
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# assert "category-3" not in result["url"] # Check if filter worked
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# assert result["metadata"]["depth"] <= max_depth
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# # 3. Deep Crawl with Scoring
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# async def test_deep_crawl_with_scoring(self, async_client: httpx.AsyncClient):
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# """Test BFS deep crawl with URL scoring."""
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# max_depth = 1
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# max_pages = 4
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# payload = {
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# "urls": [DEEP_CRAWL_BASE_URL],
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# "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
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# "crawler_config": {
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# "type": "CrawlerRunConfig",
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# "params": {
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# "stream": False,
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# "cache_mode": "BYPASS",
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# "deep_crawl_strategy": {
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# "type": "BFSDeepCrawlStrategy",
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# "params": {
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# "max_depth": max_depth,
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# "max_pages": max_pages,
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# "filter_chain": { # Keep basic domain filter
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# "type": "FilterChain",
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# "params": { "filters": [{"type": "DomainFilter", "params": {"allowed_domains": [DEEP_CRAWL_DOMAIN]}}]}
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# },
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# "url_scorer": { # Add scorer
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# "type": "CompositeScorer",
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# "params": {
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# "scorers": [
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# { # Favor pages with 'product' in the URL
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# "type": "KeywordRelevanceScorer",
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# "params": {"keywords": ["product"], "weight": 1.0}
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# },
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# { # Penalize deep paths slightly
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# "type": "PathDepthScorer",
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# "params": {"optimal_depth": 2, "weight": -0.2}
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# }
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# ]
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# }
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# },
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# # Set a threshold if needed: "score_threshold": 0.1
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# }
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# }
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# }
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# }
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# }
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# response = await async_client.post("/crawl", json=payload)
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# response.raise_for_status()
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# data = response.json()
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# assert data["success"] is True
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# assert len(data["results"]) > 0
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# assert len(data["results"]) <= max_pages
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# # Check if results seem biased towards products (harder to assert strictly without knowing exact scores)
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# product_urls_found = any("product_" in result["url"] for result in data["results"] if result["metadata"]["depth"] > 0)
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# print(f"Product URLs found among depth > 0 results: {product_urls_found}")
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# # We expect scoring to prioritize product pages if available within limits
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# # assert product_urls_found # This might be too strict depending on site structure and limits
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# for result in data["results"]:
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# await assert_crawl_result_structure(result)
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# assert result["success"] is True
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# assert result["metadata"]["depth"] <= max_depth
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# # 4. Deep Crawl with CSS Extraction
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# async def test_deep_crawl_with_css_extraction(self, async_client: httpx.AsyncClient):
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# """Test BFS deep crawl combined with JsonCssExtractionStrategy."""
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# max_depth = 6 # Go deep enough to reach product pages
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# max_pages = 20
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# # Schema to extract product details
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# product_schema = {
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# "name": "ProductDetails",
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# "baseSelector": "div.container", # Base for product page
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# "fields": [
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# {"name": "product_title", "selector": "h1", "type": "text"},
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# {"name": "price", "selector": ".product-price", "type": "text"},
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# {"name": "description", "selector": ".product-description p", "type": "text"},
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# {"name": "specs", "selector": ".product-specs li", "type": "list", "fields":[
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# {"name": "spec_name", "selector": ".spec-name", "type": "text"},
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# {"name": "spec_value", "selector": ".spec-value", "type": "text"}
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# ]}
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# ]
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# }
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# payload = {
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# "urls": [DEEP_CRAWL_BASE_URL],
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# "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
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# "crawler_config": {
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# "type": "CrawlerRunConfig",
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# "params": {
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# "stream": False,
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# "cache_mode": "BYPASS",
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# "extraction_strategy": { # Apply extraction to ALL crawled pages
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# "type": "JsonCssExtractionStrategy",
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# "params": {"schema": {"type": "dict", "value": product_schema}}
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# },
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# "deep_crawl_strategy": {
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# "type": "BFSDeepCrawlStrategy",
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# "params": {
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# "max_depth": max_depth,
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# "max_pages": max_pages,
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# "filter_chain": { # Only crawl HTML on our domain
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# "type": "FilterChain",
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# "params": {
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# "filters": [
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# {"type": "DomainFilter", "params": {"allowed_domains": [DEEP_CRAWL_DOMAIN]}},
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# {"type": "ContentTypeFilter", "params": {"allowed_types": ["text/html"]}}
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# ]
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# }
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# }
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# # Optional: Add scoring to prioritize product pages for extraction
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# }
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# }
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# }
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# }
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# }
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# response = await async_client.post("/crawl", json=payload)
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# response.raise_for_status()
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# data = response.json()
|
||
|
|
|
||
|
|
# assert data["success"] is True
|
||
|
|
# assert len(data["results"]) > 0
|
||
|
|
# # assert len(data["results"]) <= max_pages
|
||
|
|
|
||
|
|
# found_extracted_product = False
|
||
|
|
# for result in data["results"]:
|
||
|
|
# await assert_crawl_result_structure(result)
|
||
|
|
# assert result["success"] is True
|
||
|
|
# assert "extracted_content" in result
|
||
|
|
# if "product_" in result["url"]: # Check product pages specifically
|
||
|
|
# assert result["extracted_content"] is not None
|
||
|
|
# try:
|
||
|
|
# extracted = json.loads(result["extracted_content"])
|
||
|
|
# # Schema returns list even if one base match
|
||
|
|
# assert isinstance(extracted, list)
|
||
|
|
# if extracted:
|
||
|
|
# item = extracted[0]
|
||
|
|
# assert "product_title" in item and item["product_title"]
|
||
|
|
# assert "price" in item and item["price"]
|
||
|
|
# # Specs might be empty list if not found
|
||
|
|
# assert "specs" in item and isinstance(item["specs"], list)
|
||
|
|
# found_extracted_product = True
|
||
|
|
# print(f"Extracted product: {item.get('product_title')}")
|
||
|
|
# except (json.JSONDecodeError, AssertionError, IndexError) as e:
|
||
|
|
# pytest.fail(f"Extraction validation failed for {result['url']}: {e}\nContent: {result['extracted_content']}")
|
||
|
|
# # else:
|
||
|
|
# # # Non-product pages might have None or empty list depending on schema match
|
||
|
|
# # assert result["extracted_content"] is None or json.loads(result["extracted_content"]) == []
|
||
|
|
|
||
|
|
# assert found_extracted_product, "Did not find any pages where product data was successfully extracted."
|
||
|
|
|
||
|
|
# # 5. Deep Crawl with LLM Extraction (Requires Server LLM Setup)
|
||
|
|
# async def test_deep_crawl_with_llm_extraction(self, async_client: httpx.AsyncClient):
|
||
|
|
# """Test BFS deep crawl combined with LLMExtractionStrategy."""
|
||
|
|
# max_depth = 1 # Limit depth to keep LLM calls manageable
|
||
|
|
# max_pages = 3
|
||
|
|
# payload = {
|
||
|
|
# "urls": [DEEP_CRAWL_BASE_URL],
|
||
|
|
# "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||
|
|
# "crawler_config": {
|
||
|
|
# "type": "CrawlerRunConfig",
|
||
|
|
# "params": {
|
||
|
|
# "stream": False,
|
||
|
|
# "cache_mode": "BYPASS",
|
||
|
|
# "extraction_strategy": { # Apply LLM extraction to crawled pages
|
||
|
|
# "type": "LLMExtractionStrategy",
|
||
|
|
# "params": {
|
||
|
|
# "instruction": "Extract the main H1 title and the text content of the first paragraph.",
|
||
|
|
# "llm_config": { # Example override, rely on server default if possible
|
||
|
|
# "type": "LLMConfig",
|
||
|
|
# "params": {"provider": "openai/gpt-4.1-mini"} # Use a cheaper model for testing
|
||
|
|
# },
|
||
|
|
# "schema": { # Expected JSON output
|
||
|
|
# "type": "dict",
|
||
|
|
# "value": {
|
||
|
|
# "title": "PageContent", "type": "object",
|
||
|
|
# "properties": {
|
||
|
|
# "h1_title": {"type": "string"},
|
||
|
|
# "first_paragraph": {"type": "string"}
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# },
|
||
|
|
# "deep_crawl_strategy": {
|
||
|
|
# "type": "BFSDeepCrawlStrategy",
|
||
|
|
# "params": {
|
||
|
|
# "max_depth": max_depth,
|
||
|
|
# "max_pages": max_pages,
|
||
|
|
# "filter_chain": {
|
||
|
|
# "type": "FilterChain",
|
||
|
|
# "params": {
|
||
|
|
# "filters": [
|
||
|
|
# {"type": "DomainFilter", "params": {"allowed_domains": [DEEP_CRAWL_DOMAIN]}},
|
||
|
|
# {"type": "ContentTypeFilter", "params": {"allowed_types": ["text/html"]}}
|
||
|
|
# ]
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
|
||
|
|
# try:
|
||
|
|
# response = await async_client.post("/crawl", json=payload)
|
||
|
|
# response.raise_for_status()
|
||
|
|
# data = response.json()
|
||
|
|
# except httpx.HTTPStatusError as e:
|
||
|
|
# pytest.fail(f"Deep Crawl + LLM extraction request failed: {e}. Response: {e.response.text}. Check server logs and LLM API key setup.")
|
||
|
|
# except httpx.RequestError as e:
|
||
|
|
# pytest.fail(f"Deep Crawl + LLM extraction request failed: {e}.")
|
||
|
|
|
||
|
|
|
||
|
|
# assert data["success"] is True
|
||
|
|
# assert len(data["results"]) > 0
|
||
|
|
# assert len(data["results"]) <= max_pages
|
||
|
|
|
||
|
|
# found_llm_extraction = False
|
||
|
|
# for result in data["results"]:
|
||
|
|
# await assert_crawl_result_structure(result)
|
||
|
|
# assert result["success"] is True
|
||
|
|
# assert "extracted_content" in result
|
||
|
|
# assert result["extracted_content"] is not None
|
||
|
|
# try:
|
||
|
|
# extracted = json.loads(result["extracted_content"])
|
||
|
|
# if isinstance(extracted, list): extracted = extracted[0] # Handle list output
|
||
|
|
# assert isinstance(extracted, dict)
|
||
|
|
# assert "h1_title" in extracted # Check keys based on schema
|
||
|
|
# assert "first_paragraph" in extracted
|
||
|
|
# found_llm_extraction = True
|
||
|
|
# print(f"LLM extracted from {result['url']}: Title='{extracted.get('h1_title')}'")
|
||
|
|
# except (json.JSONDecodeError, AssertionError, IndexError, TypeError) as e:
|
||
|
|
# pytest.fail(f"LLM extraction validation failed for {result['url']}: {e}\nContent: {result['extracted_content']}")
|
||
|
|
|
||
|
|
# assert found_llm_extraction, "LLM extraction did not yield expected data on any crawled page."
|
||
|
|
|
||
|
|
|
||
|
|
# # 6. Deep Crawl with SSL Certificate Fetching
|
||
|
|
# async def test_deep_crawl_with_ssl(self, async_client: httpx.AsyncClient):
|
||
|
|
# """Test BFS deep crawl with fetch_ssl_certificate enabled."""
|
||
|
|
# max_depth = 0 # Only fetch for start URL to keep test fast
|
||
|
|
# max_pages = 1
|
||
|
|
# payload = {
|
||
|
|
# "urls": [DEEP_CRAWL_BASE_URL],
|
||
|
|
# "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||
|
|
# "crawler_config": {
|
||
|
|
# "type": "CrawlerRunConfig",
|
||
|
|
# "params": {
|
||
|
|
# "stream": False,
|
||
|
|
# "cache_mode": "BYPASS",
|
||
|
|
# "fetch_ssl_certificate": True, # <-- Enable SSL fetching
|
||
|
|
# "deep_crawl_strategy": {
|
||
|
|
# "type": "BFSDeepCrawlStrategy",
|
||
|
|
# "params": {
|
||
|
|
# "max_depth": max_depth,
|
||
|
|
# "max_pages": max_pages,
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# }
|
||
|
|
# response = await async_client.post("/crawl", json=payload)
|
||
|
|
# response.raise_for_status()
|
||
|
|
# data = response.json()
|
||
|
|
|
||
|
|
# assert data["success"] is True
|
||
|
|
# assert len(data["results"]) == 1
|
||
|
|
# result = data["results"][0]
|
||
|
|
|
||
|
|
# await assert_crawl_result_structure(result, check_ssl=True) # <-- Tell helper to check SSL field
|
||
|
|
# assert result["success"] is True
|
||
|
|
# # Check if SSL info was actually retrieved
|
||
|
|
# if result["ssl_certificate"]:
|
||
|
|
# # Assert directly using dictionary keys
|
||
|
|
# assert isinstance(result["ssl_certificate"], dict) # Verify it's a dict
|
||
|
|
# assert "issuer" in result["ssl_certificate"]
|
||
|
|
# assert "subject" in result["ssl_certificate"]
|
||
|
|
# # --- MODIFIED ASSERTIONS ---
|
||
|
|
# assert "not_before" in result["ssl_certificate"] # Check for the actual key
|
||
|
|
# assert "not_after" in result["ssl_certificate"] # Check for the actual key
|
||
|
|
# # --- END MODIFICATIONS ---
|
||
|
|
# assert "fingerprint" in result["ssl_certificate"] # Check another key
|
||
|
|
|
||
|
|
# # This print statement using .get() already works correctly with dictionaries
|
||
|
|
# print(f"SSL Issuer Org: {result['ssl_certificate'].get('issuer', {}).get('O', 'N/A')}")
|
||
|
|
# print(f"SSL Valid From: {result['ssl_certificate'].get('not_before', 'N/A')}")
|
||
|
|
# else:
|
||
|
|
# # This part remains the same
|
||
|
|
# print("SSL Certificate was null in the result.")
|
||
|
|
|
||
|
|
|
||
|
|
# 7. Deep Crawl with Proxy Rotation (Requires PROXIES env var)
|
||
|
|
async def test_deep_crawl_with_proxies(self, async_client: httpx.AsyncClient):
|
||
|
|
"""Test BFS deep crawl using proxy rotation."""
|
||
|
|
proxies = load_proxies_from_env()
|
||
|
|
if not proxies:
|
||
|
|
pytest.skip("Skipping proxy test: PROXIES environment variable not set or empty.")
|
||
|
|
|
||
|
|
print(f"\nTesting with {len(proxies)} proxies loaded from environment.")
|
||
|
|
|
||
|
|
max_depth = 1
|
||
|
|
max_pages = 3
|
||
|
|
payload = {
|
||
|
|
"urls": [DEEP_CRAWL_BASE_URL], # Use the dummy site
|
||
|
|
# Use a BrowserConfig that *might* pick up proxy if set, but rely on CrawlerRunConfig
|
||
|
|
"browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
|
||
|
|
"crawler_config": {
|
||
|
|
"type": "CrawlerRunConfig",
|
||
|
|
"params": {
|
||
|
|
"stream": False,
|
||
|
|
"cache_mode": "BYPASS",
|
||
|
|
"proxy_rotation_strategy": { # <-- Define the strategy
|
||
|
|
"type": "RoundRobinProxyStrategy",
|
||
|
|
"params": {
|
||
|
|
# Convert ProxyConfig dicts back to the serialized format expected by server
|
||
|
|
"proxies": [{"type": "ProxyConfig", "params": p} for p in proxies]
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"deep_crawl_strategy": {
|
||
|
|
"type": "BFSDeepCrawlStrategy",
|
||
|
|
"params": {
|
||
|
|
"max_depth": max_depth,
|
||
|
|
"max_pages": max_pages,
|
||
|
|
"filter_chain": {
|
||
|
|
"type": "FilterChain",
|
||
|
|
"params": { "filters": [{"type": "DomainFilter", "params": {"allowed_domains": [DEEP_CRAWL_DOMAIN]}}]}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
try:
|
||
|
|
response = await async_client.post("/crawl", json=payload)
|
||
|
|
response.raise_for_status()
|
||
|
|
data = response.json()
|
||
|
|
except httpx.HTTPStatusError as e:
|
||
|
|
# Proxies often cause connection errors, catch them
|
||
|
|
pytest.fail(f"Proxy deep crawl failed: {e}. Response: {e.response.text}. Are proxies valid and accessible by the server?")
|
||
|
|
except httpx.RequestError as e:
|
||
|
|
pytest.fail(f"Proxy deep crawl request failed: {e}. Are proxies valid and accessible?")
|
||
|
|
|
||
|
|
assert data["success"] is True
|
||
|
|
assert len(data["results"]) > 0
|
||
|
|
assert len(data["results"]) <= max_pages
|
||
|
|
# Primary assertion is that the crawl succeeded *with* proxy config
|
||
|
|
print(f"Proxy deep crawl completed successfully for {len(data['results'])} pages.")
|
||
|
|
|
||
|
|
# Verifying specific proxy usage requires server logs or custom headers/responses
|
||
|
|
|
||
|
|
|
||
|
|
# --- Main Execution Block (for running script directly) ---
|
||
|
|
if __name__ == "__main__":
|
||
|
|
pytest_args = ["-v", "-s", __file__]
|
||
|
|
# Example: Run only proxy test
|
||
|
|
# pytest_args.append("-k test_deep_crawl_with_proxies")
|
||
|
|
print(f"Running pytest with args: {pytest_args}")
|
||
|
|
exit_code = pytest.main(pytest_args)
|
||
|
|
print(f"Pytest finished with exit code: {exit_code}")
|