feat: refactoring of ScrapeGraph to SmartScraperLiteGraph

scrapegraphai/graphs/__init__.py

@@ -26,4 +26,4 @@
 from .code_generator_graph import CodeGeneratorGraph
 from .depth_search_graph import DepthSearchGraph
 from .smart_scraper_multi_lite_graph import SmartScraperMultiLiteGraph
-from .scrape_graph import ScrapeGraph
+from .smart_scraper_lite_graph import SmartScraperLiteGraph

scrapegraphai/graphs/scrape_graph.py → scrapegraphai/graphs/smart_scraper_lite_graph.py

@@ -10,9 +10,9 @@
     ParseNode,
 )
 
-class ScrapeGraph(AbstractGraph):
+class SmartScraperLiteGraph(AbstractGraph):
     """
-    ScrapeGraph is a scraping pipeline that automates the process of 
+    SmartScraperLiteGraph is a scraping pipeline that automates the process of 
     extracting information from web pages.
 
     Attributes:
@@ -30,15 +30,16 @@ class ScrapeGraph(AbstractGraph):
         schema (BaseModel): The schema for the graph output.
 
     Example:
-        >>> scraper = ScraperGraph(
+        >>> scraper = SmartScraperLiteGraph(
         ...     "https://en.wikipedia.org/wiki/Chioggia",
         ...     {"llm": {"model": "openai/gpt-3.5-turbo"}}
         ... )
         >>> result = smart_scraper.run()
         )
     """
 
-    def __init__(self, source: str, config: dict, prompt: str = "", schema: Optional[BaseModel] = None):
+    def __init__(self, source: str, config: dict, prompt: str = "", 
+                 schema: Optional[BaseModel] = None):
         super().__init__(prompt, config, source, schema)
 
         self.input_key = "url" if source.startswith("http") else "local_dir"

scrapegraphai/graphs/smart_scraper_multi_lite_graph.py

@@ -6,7 +6,7 @@
 from pydantic import BaseModel
 from .base_graph import BaseGraph
 from .abstract_graph import AbstractGraph
-from .scrape_graph import ScrapeGraph
+from .smart_scraper_lite_graph import SmartScraperLiteGraph
 from ..nodes import (
     GraphIteratorNode,
     MergeAnswersNode,
@@ -63,7 +63,7 @@ def _create_graph(self) -> BaseGraph:
             input="user_prompt & urls",
             output=["parsed_doc"],
             node_config={
-                "graph_instance": ScrapeGraph,
+                "graph_instance": SmartScraperLiteGraph,
                 "scraper_config": self.copy_config,
             },
             schema=self.copy_schema