chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
@@ -0,0 +1,186 @@
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import requests
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import time
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import httpx
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import asyncio
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from typing import Dict, Any
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from crawl4ai import (
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BrowserConfig, CrawlerRunConfig, DefaultMarkdownGenerator,
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PruningContentFilter, JsonCssExtractionStrategy, LLMContentFilter, CacheMode
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)
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from crawl4ai import LLMConfig
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from crawl4ai.docker_client import Crawl4aiDockerClient
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class Crawl4AiTester:
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def __init__(self, base_url: str = "http://localhost:11235"):
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self.base_url = base_url
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def submit_and_wait(
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self, request_data: Dict[str, Any], timeout: int = 300
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) -> Dict[str, Any]:
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# Submit crawl job
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response = requests.post(f"{self.base_url}/crawl", json=request_data)
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task_id = response.json()["task_id"]
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print(f"Task ID: {task_id}")
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# Poll for result
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start_time = time.time()
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while True:
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if time.time() - start_time > timeout:
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raise TimeoutError(
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f"Task {task_id} did not complete within {timeout} seconds"
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)
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result = requests.get(f"{self.base_url}/task/{task_id}")
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status = result.json()
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if status["status"] == "failed":
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print("Task failed:", status.get("error"))
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raise Exception(f"Task failed: {status.get('error')}")
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if status["status"] == "completed":
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return status
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time.sleep(2)
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async def test_direct_api():
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"""Test direct API endpoints without using the client SDK"""
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print("\n=== Testing Direct API Calls ===")
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# Test 1: Basic crawl with content filtering
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browser_config = BrowserConfig(
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headless=True,
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viewport_width=1200,
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viewport_height=800
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)
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crawler_config = CrawlerRunConfig(
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cache_mode=CacheMode.BYPASS,
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markdown_generator=DefaultMarkdownGenerator(
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content_filter=PruningContentFilter(
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threshold=0.48,
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threshold_type="fixed",
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min_word_threshold=0
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),
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options={"ignore_links": True}
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)
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)
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request_data = {
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"urls": ["https://example.com"],
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"browser_config": browser_config.dump(),
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"crawler_config": crawler_config.dump()
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}
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# Make direct API call
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async with httpx.AsyncClient() as client:
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response = await client.post(
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"http://localhost:11235/crawl",
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json=request_data,
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timeout=300
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)
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assert response.status_code == 200
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result = response.json()
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print("Basic crawl result:", result["success"])
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# Test 2: Structured extraction with JSON CSS
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schema = {
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"baseSelector": "article.post",
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"fields": [
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{"name": "title", "selector": "h1", "type": "text"},
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{"name": "content", "selector": ".content", "type": "html"}
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]
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}
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crawler_config = CrawlerRunConfig(
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cache_mode=CacheMode.BYPASS,
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extraction_strategy=JsonCssExtractionStrategy(schema=schema)
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)
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request_data["crawler_config"] = crawler_config.dump()
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async with httpx.AsyncClient() as client:
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response = await client.post(
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"http://localhost:11235/crawl",
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json=request_data
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)
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assert response.status_code == 200
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result = response.json()
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print("Structured extraction result:", result["success"])
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# Test 3: Raw HTML
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request_data["urls"] = ["raw://<html><body><h1>Hello, World!</h1><a href='https://example.com'>Example</a></body></html>"]
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async with httpx.AsyncClient() as client:
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response = await client.post(
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"http://localhost:11235/crawl",
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json=request_data
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)
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assert response.status_code == 200
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result = response.json()
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print("Raw HTML result:", result["success"])
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# Test 3: Get schema
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# async with httpx.AsyncClient() as client:
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# response = await client.get("http://localhost:8000/schema")
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# assert response.status_code == 200
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# schemas = response.json()
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# print("Retrieved schemas for:", list(schemas.keys()))
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async def test_with_client():
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"""Test using the Crawl4AI Docker client SDK"""
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print("\n=== Testing Client SDK ===")
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async with Crawl4aiDockerClient(base_url="http://localhost:11235", verbose=True) as client:
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# Test 1: Basic crawl
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browser_config = BrowserConfig(headless=True)
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crawler_config = CrawlerRunConfig(
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cache_mode=CacheMode.BYPASS,
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markdown_generator=DefaultMarkdownGenerator(
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content_filter=PruningContentFilter(
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threshold=0.48,
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threshold_type="fixed"
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)
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)
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)
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result = await client.crawl(
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urls=["https://example.com"],
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browser_config=browser_config,
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crawler_config=crawler_config
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)
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print("Client SDK basic crawl:", result.success)
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# Test 2: LLM extraction with streaming
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crawler_config = CrawlerRunConfig(
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cache_mode=CacheMode.BYPASS,
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markdown_generator=DefaultMarkdownGenerator(
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content_filter=LLMContentFilter(
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llm_config=LLMConfig(provider="openai/gpt-40"),
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instruction="Extract key technical concepts"
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)
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),
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stream=True
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)
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async for result in await client.crawl(
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urls=["https://example.com"],
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browser_config=browser_config,
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crawler_config=crawler_config
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):
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print(f"Streaming result for: {result.url}")
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# # Test 3: Get schema
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# schemas = await client.get_schema()
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# print("Retrieved client schemas for:", list(schemas.keys()))
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async def main():
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"""Run all tests"""
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# Test direct API
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print("Testing direct API calls...")
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await test_direct_api()
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# Test client SDK
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print("\nTesting client SDK...")
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await test_with_client()
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if __name__ == "__main__":
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asyncio.run(main())
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