Pre/beta

CHANGELOG.md

@@ -1,14 +1,30 @@
-## [1.39.0](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.38.1...v1.39.0) (2025-02-17)
+## [1.40.0-beta.1](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.39.0...v1.40.0-beta.1) (2025-02-25)
 
 
 ### Features
 
-* add the new handling exception ([5c0bc46](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/5c0bc46c6322ea07efa31d95819d7da47462f981))
+* add refactoring of merge and parse ([2c0b459](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/2c0b4591ae4a13a89a73fb29a170adf6e52b3903))
+* update parse node ([8cf9685](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/8cf96857a000eada6d1c9ce1a357ee3d1f2bd003))
 
 
 ### CI
 
-* **release:** 1.39.0-beta.1 [skip ci] ([9be7dcd](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/9be7dcd8d1f5b64e6a6c29c931f0195e04bb4f23))
+* **release:** 1.39.0-beta.2 [skip ci] ([ac2fcd6](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/ac2fcd66ce2603153877e3141b3ff862a348e335))
+
+## [1.39.0-beta.2](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.39.0-beta.1...v1.39.0-beta.2) (2025-02-25)
+
+
+
+### Features
+
+* add refactoring of merge and parse ([2c0b459](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/2c0b4591ae4a13a89a73fb29a170adf6e52b3903))
+
+
+
+### CI
+
+* **release:** 1.38.1 [skip ci] ([5c3d62d](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/5c3d62d55b5c6dcbb304b5879a19ca09bc18b153))
+
 
 ## [1.39.0-beta.1](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.38.1-beta.1...v1.39.0-beta.1) (2025-02-17)
 

pyproject.toml

@@ -1,7 +1,8 @@
 [project]
 name = "scrapegraphai"
 
-version = "1.39.0"
+version = "1.40.0b1"
+
 
 
 description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."

scrapegraphai/nodes/generate_answer_node.py

@@ -87,6 +87,37 @@ def invoke_with_timeout(self, chain, inputs, timeout):
             self.logger.error(f"Error during chain execution: {str(e)}")
             raise
 
+    def process(self, state: dict) -> dict:
+        """Process the input state and generate an answer."""
+        user_prompt = state.get("user_prompt")
+        # Check for content in different possible state keys
+        content = (
+            state.get("relevant_chunks")
+            or state.get("parsed_doc")
+            or state.get("doc")
+            or state.get("content")
+        )
+
+        if not content:
+            raise ValueError("No content found in state to generate answer from")
+
+        if not user_prompt:
+            raise ValueError("No user prompt found in state")
+
+        # Create the chain input with both content and question keys
+        chain_input = {
+            "content": content,
+            "question": user_prompt
+        }
+
+        try:
+            response = self.invoke_with_timeout(self.chain, chain_input, self.timeout)
+            state.update({self.output[0]: response})
+            return state
+        except Exception as e:
+            self.logger.error(f"Error in GenerateAnswerNode: {str(e)}")
+            raise
+
     def execute(self, state: dict) -> dict:
         """
         Executes the GenerateAnswerNode.

scrapegraphai/nodes/parse_node.py

@@ -78,7 +78,6 @@ def execute(self, state: dict) -> dict:
         self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         input_keys = self.get_input_keys(state)
-
         input_data = [state[key] for key in input_keys]
         docs_transformed = input_data[0]
         source = input_data[1] if self.parse_urls else None
@@ -121,6 +120,9 @@ def execute(self, state: dict) -> dict:
                 )
 
         state.update({self.output[0]: chunks})
+        state.update({"parsed_doc": chunks})
+        state.update({"content": chunks})
+
         if self.parse_urls:
             state.update({self.output[1]: link_urls})
             state.update({self.output[2]: img_urls})