allignmenet

CHANGELOG.md

@@ -1,15 +1,22 @@
-## [1.13.0-beta.6](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.13.0-beta.5...v1.13.0-beta.6) (2024-08-09)
+## [1.12.2](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.12.1...v1.12.2) (2024-08-07)
+
 
 
 ### Bug Fixes
 
+* generate answer node omni ([b52e4a3](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/b52e4a390bb23ca55922e47046db558e1969a047))
+
+## [1.12.1](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.12.0...v1.12.1) (2024-08-07)
+
 * **FetchNode:** missing bracket syntax error ([50edbcc](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/50edbcc7f80e419f72f3f69249fec4a37597ef9a))
 
 ## [1.13.0-beta.5](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.13.0-beta.4...v1.13.0-beta.5) (2024-08-08)
 
 
 ### Bug Fixes
 
+* generate answer node pdf has a bug ([625ca9f](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/625ca9f22a91a292a844ddb45e0edc767bf24711))
+
 * **chunking:** count tokens from words instead of characters ([5ec2de9](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/5ec2de9e1a14def5596738b6cdf769f5039a246d)), closes [#513](https://github.com/ScrapeGraphAI/Scrapegraph-ai/issues/513)
 
 ## [1.13.0-beta.4](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.13.0-beta.3...v1.13.0-beta.4) (2024-08-07)
@@ -63,6 +70,7 @@
 * **release:** 1.11.0-beta.11 [skip ci] ([579d3f3](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/579d3f394b54636673baf8e9f619f1c57a2ecce4))
 * **release:** 1.11.0-beta.12 [skip ci] ([cf2a17e](https://github.com/ScrapeGraphAI/Scrapegraph-ai/commit/cf2a17ed5d79c62271fd9ea8ec89793884b04b56))
 
+
 ## [1.12.0](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.11.3...v1.12.0) (2024-08-06)
 
 

examples/local_models/smart_scraper_ollama.py

@@ -22,10 +22,9 @@
 # ************************************************
 # Create the SmartScraperGraph instance and run it
 # ************************************************
-
 smart_scraper_graph = SmartScraperGraph(
-    prompt="List me all the titles of the website",
-    source="https://sport.sky.it/nba?gr=www",
+    prompt="Find some information about what does the company do, the name and a contact email.",
+    source="https://scrapegraphai.com/",
     config=graph_config
 )
 

examples/openai/search_graph_openai.py

@@ -16,7 +16,7 @@
 graph_config = {
     "llm": {
         "api_key": openai_key,
-        "model": "gpt-3.5-turbo",
+        "model": "gpt-4o",
     },
     "max_results": 2,
     "verbose": True,

pyproject.toml

@@ -1,6 +1,7 @@
 [project]
 name = "scrapegraphai"
 
+
 version = "1.13.0b6"
 
 

scrapegraphai/graphs/script_creator_multi_graph.py

@@ -113,4 +113,4 @@ def run(self) -> str:
         """
         inputs = {"user_prompt": self.prompt, "urls": self.source}
         self.final_state, self.execution_info = self.graph.execute(inputs)
-        return self.final_state.get("merged_script", "Failed to generate the script.")
+        return self.final_state.get("merged_script", "Failed to generate the script.")

scrapegraphai/graphs/search_link_graph.py

@@ -101,4 +101,4 @@ def run(self) -> str:
         inputs = {"user_prompt": self.prompt, self.input_key: self.source}
         self.final_state, self.execution_info = self.graph.execute(inputs)
 
-        return self.final_state.get("parsed_doc", "No answer found.")
+        return self.final_state.get("parsed_doc", "No answer found.")

scrapegraphai/nodes/conditional_node.py

@@ -1,10 +1,9 @@
 """ 
 Module for implementing the conditional node
 """
-
+from typing import Optional, List
 from .base_node import BaseNode
 
-
 class ConditionalNode(BaseNode):
     """
     A node that determines the next step in the graph's execution flow based on 
@@ -29,16 +28,21 @@ class ConditionalNode(BaseNode):
 
     """
 
-    def __init__(self, key_name: str, node_name="ConditionalNode"):
+    def __init__(self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateAnswerCSV",
+    ):
         """
         Initializes the node with the key to check and the next node names based on the condition.
 
         Args:
             key_name (str): The name of the key to check in the state.
         """
 
-        super().__init__(node_name, "conditional_node")
-        self.key_name = key_name
+       super().__init__(node_name, "node", input, output, 2, node_config)
+
 
     def execute(self, state: dict) -> dict:
         """

scrapegraphai/nodes/generate_answer_csv_node.py

@@ -58,7 +58,7 @@ def __init__(
         self.verbose = (
             False if node_config is None else node_config.get("verbose", False)
         )
-        
+
         self.additional_info = node_config.get("additional_info")
 
     def execute(self, state):

scrapegraphai/nodes/generate_answer_omni_node.py

@@ -105,7 +105,7 @@ def execute(self, state: dict) -> dict:
                 template=template_no_chunk_omni_prompt,
                 input_variables=["question"],
                 partial_variables={
-                    "context": chunk,
+                    "context": doc,
                     "format_instructions": format_instructions,
                     "img_desc": imag_desc,
                 },

scrapegraphai/nodes/generate_answer_pdf_node.py

@@ -56,7 +56,7 @@ def __init__(
         self.llm_model = node_config["llm_model"]
         if isinstance(node_config["llm_model"], ChatOllama):
             self.llm_model.format="json"
-   
+
         self.verbose = (
             False if node_config is None else node_config.get("verbose", False)
         )
@@ -114,7 +114,7 @@ def execute(self, state):
                 template=template_no_chunks_pdf_prompt,
                 input_variables=["question"],
                 partial_variables={
-                    "context":chunk,
+                    "context": doc,
                     "format_instructions": format_instructions,
                 },
             )