Some refactoring, movie pipelin submodule folder into the main.

tests/pipeline/test_pipeline.py

@@ -0,0 +1,109 @@
+import asyncio
+from crawl4ai import (
+    BrowserConfig,
+    CrawlerRunConfig,
+    CacheMode,
+    DefaultMarkdownGenerator,
+    PruningContentFilter
+)
+from pipeline import Pipeline
+
+async def main():
+    # Create configuration objects
+    browser_config = BrowserConfig(headless=True, verbose=True)
+    crawler_config = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        markdown_generator=DefaultMarkdownGenerator(
+            content_filter=PruningContentFilter(
+                threshold=0.48, 
+                threshold_type="fixed", 
+                min_word_threshold=0
+            )
+        ),
+    )
+    
+    # Create and use pipeline with context manager
+    async with Pipeline(browser_config=browser_config) as pipeline:
+        result = await pipeline.crawl(
+            url="https://www.example.com", 
+            config=crawler_config
+        )
+        
+        # Print the result
+        print(f"URL: {result.url}")
+        print(f"Success: {result.success}")
+        
+        if result.success:
+            print("\nMarkdown excerpt:")
+            print(result.markdown.raw_markdown[:500] + "...")
+        else:
+            print(f"Error: {result.error_message}")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
+
+class CrawlTarget:
+    def __init__(self, urls, config=None):
+        self.urls = urls
+        self.config = config
+
+    def __repr__(self):
+        return f"CrawlTarget(urls={self.urls}, config={self.config})"
+    
+
+
+
+# async def main():
+#     # Create configuration objects
+#     browser_config = BrowserConfig(headless=True, verbose=True)
+    
+#     # Define different configurations
+#     config1 = CrawlerRunConfig(
+#         cache_mode=CacheMode.BYPASS,
+#         markdown_generator=DefaultMarkdownGenerator(
+#             content_filter=PruningContentFilter(threshold=0.48)
+#         ),
+#     )
+    
+#     config2 = CrawlerRunConfig(
+#         cache_mode=CacheMode.ENABLED,
+#         screenshot=True,
+#         pdf=True
+#     )
+    
+#     # Create crawl targets
+#     targets = [
+#         CrawlTarget(
+#             urls=["https://www.example.com", "https://www.wikipedia.org"],
+#             config=config1
+#         ),
+#         CrawlTarget(
+#             urls="https://news.ycombinator.com",  
+#             config=config2
+#         ),
+#         CrawlTarget(
+#             urls=["https://github.com", "https://stackoverflow.com", "https://python.org"],
+#             config=None
+#         )
+#     ]
+    
+#     # Create and use pipeline with context manager
+#     async with Pipeline(browser_config=browser_config) as pipeline:
+#         all_results = await pipeline.crawl_batch(targets)
+        
+#         for target_key, results in all_results.items():
+#             print(f"\n===== Results for {target_key} =====")
+#             print(f"Number of URLs crawled: {len(results)}")
+            
+#             for i, result in enumerate(results):
+#                 print(f"\nURL {i+1}: {result.url}")
+#                 print(f"Success: {result.success}")
+                
+#                 if result.success:
+#                     print(f"Content length: {len(result.markdown.raw_markdown)} chars")
+#                 else:
+#                     print(f"Error: {result.error_message}")
+
+# if __name__ == "__main__":
+#     asyncio.run(main())