- Test all methods

- Update index.hml
- Update Readme
- Resolve some bugs

tests/test_web_crawler.py

@@ -0,0 +1,111 @@
+import unittest, os
+from crawl4ai.web_crawler import WebCrawler
+from crawl4ai.chunking_strategy import RegexChunking, FixedLengthWordChunking, SlidingWindowChunking
+from crawl4ai.extraction_strategy import CosineStrategy, LLMExtractionStrategy, TopicExtractionStrategy, NoExtractionStrategy
+
+class TestWebCrawler(unittest.TestCase):
+    
+    def setUp(self):
+        self.crawler = WebCrawler()
+    
+    def test_warmup(self):
+        self.crawler.warmup()
+        self.assertTrue(self.crawler.ready, "WebCrawler failed to warm up")
+    
+    def test_run_default_strategies(self):
+        result = self.crawler.run(
+            url='https://www.nbcnews.com/business',
+            word_count_threshold=5,
+            chunking_strategy=RegexChunking(),
+            extraction_strategy=CosineStrategy(), bypass_cache=True
+        )
+        self.assertTrue(result.success, "Failed to crawl and extract using default strategies")
+    
+    def test_run_different_strategies(self):
+        url = 'https://www.nbcnews.com/business'
+        
+        # Test with FixedLengthWordChunking and LLMExtractionStrategy
+        result = self.crawler.run(
+            url=url,
+            word_count_threshold=5,
+            chunking_strategy=FixedLengthWordChunking(chunk_size=100),
+            extraction_strategy=LLMExtractionStrategy(provider="openai/gpt-3.5-turbo", api_token=os.getenv('OPENAI_API_KEY')), bypass_cache=True
+        )
+        self.assertTrue(result.success, "Failed to crawl and extract with FixedLengthWordChunking and LLMExtractionStrategy")
+        
+        # Test with SlidingWindowChunking and TopicExtractionStrategy
+        result = self.crawler.run(
+            url=url,
+            word_count_threshold=5,
+            chunking_strategy=SlidingWindowChunking(window_size=100, step=50),
+            extraction_strategy=TopicExtractionStrategy(num_keywords=5), bypass_cache=True
+        )
+        self.assertTrue(result.success, "Failed to crawl and extract with SlidingWindowChunking and TopicExtractionStrategy")
+    
+    def test_invalid_url(self):
+        with self.assertRaises(Exception) as context:
+            self.crawler.run(url='invalid_url', bypass_cache=True)
+        self.assertIn("Invalid URL", str(context.exception))
+    
+    def test_unsupported_extraction_strategy(self):
+        with self.assertRaises(Exception) as context:
+            self.crawler.run(url='https://www.nbcnews.com/business', extraction_strategy="UnsupportedStrategy", bypass_cache=True)
+        self.assertIn("Unsupported extraction strategy", str(context.exception))
+    
+    def test_invalid_css_selector(self):
+        with self.assertRaises(ValueError) as context:
+            self.crawler.run(url='https://www.nbcnews.com/business', css_selector="invalid_selector", bypass_cache=True)
+        self.assertIn("Invalid CSS selector", str(context.exception))
+
+    
+    def test_crawl_with_cache_and_bypass_cache(self):
+        url = 'https://www.nbcnews.com/business'
+        
+        # First crawl with cache enabled
+        result = self.crawler.run(url=url, bypass_cache=False)
+        self.assertTrue(result.success, "Failed to crawl and cache the result")
+        
+        # Second crawl with bypass_cache=True
+        result = self.crawler.run(url=url, bypass_cache=True)
+        self.assertTrue(result.success, "Failed to bypass cache and fetch fresh data")
+    
+    def test_fetch_multiple_pages(self):
+        urls = [
+            'https://www.nbcnews.com/business',
+            'https://www.bbc.com/news'
+        ]
+        results = []
+        for url in urls:
+            result = self.crawler.run(
+                url=url,
+                word_count_threshold=5,
+                chunking_strategy=RegexChunking(),
+                extraction_strategy=CosineStrategy(),
+                bypass_cache=True
+            )
+            results.append(result)
+        
+        self.assertEqual(len(results), 2, "Failed to crawl and extract multiple pages")
+        for result in results:
+            self.assertTrue(result.success, "Failed to crawl and extract a page in the list")
+    
+    def test_run_fixed_length_word_chunking_and_no_extraction(self):
+        result = self.crawler.run(
+            url='https://www.nbcnews.com/business',
+            word_count_threshold=5,
+            chunking_strategy=FixedLengthWordChunking(chunk_size=100),
+            extraction_strategy=NoExtractionStrategy(), bypass_cache=True
+        )
+        self.assertTrue(result.success, "Failed to crawl and extract with FixedLengthWordChunking and NoExtractionStrategy")
+
+    def test_run_sliding_window_and_no_extraction(self):
+        result = self.crawler.run(
+            url='https://www.nbcnews.com/business',
+            word_count_threshold=5,
+            chunking_strategy=SlidingWindowChunking(window_size=100, step=50),
+            extraction_strategy=NoExtractionStrategy(), bypass_cache=True
+        )
+        self.assertTrue(result.success, "Failed to crawl and extract with SlidingWindowChunking and NoExtractionStrategy")
+
+if __name__ == '__main__':
+    unittest.main()