From e53766b16e89254f945f9b54b38445a24f8b81f2 Mon Sep 17 00:00:00 2001
From: VinciGit00 <mvincig11@gmail.com>
Date: Tue, 14 May 2024 15:20:39 +0200
Subject: [PATCH 01/12] feat: add logger integration

---
 scrapegraphai/nodes/fetch_node.py             |  11 +-
 .../nodes/generate_answer_csv_node.py         |   4 +-
 scrapegraphai/nodes/generate_answer_node.py   |   4 +-
 .../nodes/generate_answer_pdf_node.py         |   4 +-
 scrapegraphai/nodes/generate_scraper_node.py  |   4 +-
 scrapegraphai/nodes/get_probable_tags_node.py |  13 +-
 scrapegraphai/nodes/graph_iterator_node.py    |   2 +-
 scrapegraphai/nodes/image_to_text_node.py     |   4 +-
 scrapegraphai/nodes/merge_answers_node.py     |   5 +-
 scrapegraphai/nodes/parse_node.py             |   5 +-
 scrapegraphai/nodes/rag_node.py               |   6 +-
 scrapegraphai/nodes/robots_node.py            |  11 +-
 scrapegraphai/nodes/search_internet_node.py   |   8 +-
 scrapegraphai/nodes/search_link_node.py       |   5 +-
 scrapegraphai/nodes/text_to_speech_node.py    |   5 +-
 scrapegraphai/utils/__init__.py               |   1 +
 scrapegraphai/utils/logging.py                | 137 ++++++++++++++++++
 17 files changed, 195 insertions(+), 34 deletions(-)
 create mode 100644 scrapegraphai/utils/logging.py

diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py
index 1edefdbd..39463057 100644
--- a/scrapegraphai/nodes/fetch_node.py
+++ b/scrapegraphai/nodes/fetch_node.py
@@ -1,4 +1,4 @@
-""" 
+""""
 FetchNode Module
 """
 
@@ -13,7 +13,7 @@
 from ..docloaders import ChromiumLoader
 from .base_node import BaseNode
 from ..utils.cleanup_html import cleanup_html
-
+from ..utils.logging import get_logger
 
 class FetchNode(BaseNode):
     """
@@ -74,7 +74,8 @@ def execute(self, state):
                     necessary information to perform the operation is missing.
         """
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("fetch node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -128,7 +129,7 @@ def execute(self, state):
                 cleanedup_html = cleanup_html(response.text, source)
                 compressed_document = [Document(page_content=cleanedup_html)]
             else:	
-                print(f"Failed to retrieve contents from the webpage at url: {source}")
+                logger.warning(f"Failed to retrieve contents from the webpage at url: {source}")
 
         else:
             loader_kwargs = {}
@@ -144,4 +145,4 @@ def execute(self, state):
             ]
 
         state.update({self.output[0]: compressed_document})
-        return state
\ No newline at end of file
+        return state
diff --git a/scrapegraphai/nodes/generate_answer_csv_node.py b/scrapegraphai/nodes/generate_answer_csv_node.py
index 53f7121b..f3f5b7ec 100644
--- a/scrapegraphai/nodes/generate_answer_csv_node.py
+++ b/scrapegraphai/nodes/generate_answer_csv_node.py
@@ -9,6 +9,7 @@
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from ..utils.logging import get_logger
 
 # Imports from the library
 from .base_node import BaseNode
@@ -72,7 +73,8 @@ def execute(self, state):
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("generate_answer csv node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/generate_answer_node.py b/scrapegraphai/nodes/generate_answer_node.py
index f554f8d9..beeac15a 100644
--- a/scrapegraphai/nodes/generate_answer_node.py
+++ b/scrapegraphai/nodes/generate_answer_node.py
@@ -10,6 +10,7 @@
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from ..utils.logging import get_logger
 
 # Imports from the library
 from .base_node import BaseNode
@@ -59,7 +60,8 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("generate answer node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/generate_answer_pdf_node.py b/scrapegraphai/nodes/generate_answer_pdf_node.py
index 31839d22..4a42df23 100644
--- a/scrapegraphai/nodes/generate_answer_pdf_node.py
+++ b/scrapegraphai/nodes/generate_answer_pdf_node.py
@@ -9,6 +9,7 @@
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from ..utils.logging import get_logger
 
 # Imports from the library
 from .base_node import BaseNode
@@ -72,7 +73,8 @@ def execute(self, state):
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("generate answer pdf node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/generate_scraper_node.py b/scrapegraphai/nodes/generate_scraper_node.py
index 804635de..a6a8dc00 100644
--- a/scrapegraphai/nodes/generate_scraper_node.py
+++ b/scrapegraphai/nodes/generate_scraper_node.py
@@ -10,6 +10,7 @@
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.runnables import RunnableParallel
+from ..utils.logging import get_logger
 
 # Imports from the library
 from .base_node import BaseNode
@@ -63,7 +64,8 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("generate scraper node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/get_probable_tags_node.py b/scrapegraphai/nodes/get_probable_tags_node.py
index e970c285..b0c2b41d 100644
--- a/scrapegraphai/nodes/get_probable_tags_node.py
+++ b/scrapegraphai/nodes/get_probable_tags_node.py
@@ -6,7 +6,7 @@
 from langchain.output_parsers import CommaSeparatedListOutputParser
 from langchain.prompts import PromptTemplate
 from .base_node import BaseNode
-
+from ..utils.logging import get_logger
 
 class GetProbableTagsNode(BaseNode):
     """
@@ -25,11 +25,12 @@ class GetProbableTagsNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GetProbableTags".
     """
 
-    def __init__(self, input: str, output: List[str], model_config: dict,
+    def __init__(self, input: str, output: List[str], node_config: dict,
                  node_name: str = "GetProbableTags"):
-        super().__init__(node_name, "node", input, output, 2, model_config)
+        super().__init__(node_name, "node", input, output, 2, node_config)
 
-        self.llm_model = model_config["llm_model"]
+        self.llm_model = node_config["llm_model"]
+        self.verbose = False if node_config is None else node_config.get("verbose", False)
 
     def execute(self, state: dict) -> dict:
         """
@@ -49,7 +50,9 @@ def execute(self, state: dict) -> dict:
                       necessary information for generating tag predictions is missing.
         """
 
-        print(f"--- Executing {self.node_name} Node ---")
+        if self.verbose:
+            logger = get_logger("get probable tags node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/graph_iterator_node.py b/scrapegraphai/nodes/graph_iterator_node.py
index 8a71319a..b6c7690e 100644
--- a/scrapegraphai/nodes/graph_iterator_node.py
+++ b/scrapegraphai/nodes/graph_iterator_node.py
@@ -5,7 +5,7 @@
 import asyncio
 import copy
 from typing import List, Optional
-
+from ..utils.logging import get_logger
 from tqdm.asyncio import tqdm
 
 from .base_node import BaseNode
diff --git a/scrapegraphai/nodes/image_to_text_node.py b/scrapegraphai/nodes/image_to_text_node.py
index 27f09016..07ef3be7 100644
--- a/scrapegraphai/nodes/image_to_text_node.py
+++ b/scrapegraphai/nodes/image_to_text_node.py
@@ -4,6 +4,7 @@
 
 from typing import List, Optional
 from .base_node import BaseNode
+from ..utils.logging import get_logger
 
 
 class ImageToTextNode(BaseNode):
@@ -42,7 +43,8 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            print("---GENERATING TEXT FROM IMAGE---")
+            logger = get_logger("image to text node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
             
         input_keys = self.get_input_keys(state)
         input_data = [state[key] for key in input_keys]
diff --git a/scrapegraphai/nodes/merge_answers_node.py b/scrapegraphai/nodes/merge_answers_node.py
index 63ed6afa..da115005 100644
--- a/scrapegraphai/nodes/merge_answers_node.py
+++ b/scrapegraphai/nodes/merge_answers_node.py
@@ -5,7 +5,7 @@
 # Imports from standard library
 from typing import List, Optional
 from tqdm import tqdm
-
+from ..utils.logging import get_logger
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
@@ -54,7 +54,8 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("fetch node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/parse_node.py b/scrapegraphai/nodes/parse_node.py
index 2cd7eb33..436cddc4 100644
--- a/scrapegraphai/nodes/parse_node.py
+++ b/scrapegraphai/nodes/parse_node.py
@@ -6,7 +6,7 @@
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.document_transformers import Html2TextTransformer
 from .base_node import BaseNode
-
+from ..utils.logging import get_logger
 
 class ParseNode(BaseNode):
     """
@@ -49,7 +49,8 @@ def execute(self,  state: dict) -> dict:
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("fetch node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/rag_node.py b/scrapegraphai/nodes/rag_node.py
index 27d97b6e..fdcdd8e8 100644
--- a/scrapegraphai/nodes/rag_node.py
+++ b/scrapegraphai/nodes/rag_node.py
@@ -8,6 +8,7 @@
 from langchain.retrievers.document_compressors import EmbeddingsFilter, DocumentCompressorPipeline
 from langchain_community.document_transformers import EmbeddingsRedundantFilter
 from langchain_community.vectorstores import FAISS
+from ..utils.logging import get_logger
 
 from .base_node import BaseNode
 
@@ -55,9 +56,10 @@ def execute(self, state: dict) -> dict:
             KeyError: If the input keys are not found in the state, indicating that the
                         necessary information for compressing the content is missing.
         """
+        logger = get_logger("rag node")
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -80,7 +82,7 @@ def execute(self, state: dict) -> dict:
             chunked_docs.append(doc)
 
         if self.verbose:
-            print("--- (updated chunks metadata) ---")
+            logger.info("--- (updated chunks metadata) ---")
 
         # check if embedder_model is provided, if not use llm_model
         self.embedder_model = self.embedder_model if self.embedder_model else self.llm_model
diff --git a/scrapegraphai/nodes/robots_node.py b/scrapegraphai/nodes/robots_node.py
index 7aea6cae..ab0c7919 100644
--- a/scrapegraphai/nodes/robots_node.py
+++ b/scrapegraphai/nodes/robots_node.py
@@ -9,7 +9,7 @@
 from langchain.output_parsers import CommaSeparatedListOutputParser
 from .base_node import BaseNode
 from ..helpers import robots_dictionary
-
+from ..utils.logging import get_logger
 
 class RobotsNode(BaseNode):
     """
@@ -61,9 +61,10 @@ def execute(self, state: dict) -> dict:
             ValueError: If the website is not scrapeable based on the robots.txt file and
                         scraping is not enforced.
         """
+        logger = get_logger("robots node")
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -121,17 +122,17 @@ def execute(self, state: dict) -> dict:
 
             if "no" in is_scrapable:
                 if self.verbose:
-                    print("\033[31m(Scraping this website is not allowed)\033[0m")
+                    logger.warning("\033[31m(Scraping this website is not allowed)\033[0m")
                     
                 if not self.force_scraping:
                     raise ValueError(
                         'The website you selected is not scrapable')
                 else:
                     if self.verbose:
-                        print("\033[33m(WARNING: Scraping this website is not allowed but you decided to force it)\033[0m")
+                        logger.warning("\033[33m(WARNING: Scraping this website is not allowed but you decided to force it)\033[0m")
             else:
                 if self.verbose:
-                    print("\033[32m(Scraping this website is allowed)\033[0m")
+                    logger.warning("\033[32m(Scraping this website is allowed)\033[0m")
 
         state.update({self.output[0]: is_scrapable})
         return state
diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py
index 87f8dcb2..e2443a25 100644
--- a/scrapegraphai/nodes/search_internet_node.py
+++ b/scrapegraphai/nodes/search_internet_node.py
@@ -7,7 +7,7 @@
 from langchain.prompts import PromptTemplate
 from ..utils.research_web import search_on_web
 from .base_node import BaseNode
-
+from ..utils.logging import get_logger
 
 class SearchInternetNode(BaseNode):
     """
@@ -54,9 +54,10 @@ def execute(self, state: dict) -> dict:
             KeyError: If the input keys are not found in the state, indicating that the
                         necessary information for generating the answer is missing.
         """
+        logger = get_logger("search interne node")
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         input_keys = self.get_input_keys(state)
 
@@ -88,7 +89,8 @@ def execute(self, state: dict) -> dict:
         search_query = search_answer.invoke({"user_prompt": user_prompt})[0]
 
         if self.verbose:
-            print(f"Search Query: {search_query}")
+            logger.info(f"Search Query: {search_query}")
+
 
         answer = search_on_web(
             query=search_query, max_results=self.max_results)
diff --git a/scrapegraphai/nodes/search_link_node.py b/scrapegraphai/nodes/search_link_node.py
index bf64b5d9..93c60e4a 100644
--- a/scrapegraphai/nodes/search_link_node.py
+++ b/scrapegraphai/nodes/search_link_node.py
@@ -5,7 +5,7 @@
 # Imports from standard library
 from typing import List, Optional
 from tqdm import tqdm
-
+from ..utils.logging import get_logger
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
@@ -59,7 +59,8 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("search link node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/text_to_speech_node.py b/scrapegraphai/nodes/text_to_speech_node.py
index d9fe7ca4..06ed8d5f 100644
--- a/scrapegraphai/nodes/text_to_speech_node.py
+++ b/scrapegraphai/nodes/text_to_speech_node.py
@@ -4,7 +4,7 @@
 
 from typing import List, Optional
 from .base_node import BaseNode
-
+from ..utils.logging import get_logger
 
 class TextToSpeechNode(BaseNode):
     """
@@ -45,7 +45,8 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+            logger = get_logger("text to speach node")
+            logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/utils/__init__.py b/scrapegraphai/utils/__init__.py
index 72a8b96c..ee647466 100644
--- a/scrapegraphai/utils/__init__.py
+++ b/scrapegraphai/utils/__init__.py
@@ -9,3 +9,4 @@
 from .save_audio_from_bytes import save_audio_from_bytes
 from .sys_dynamic_import import dynamic_import, srcfile_import
 from .cleanup_html import cleanup_html
+from .logging import *
\ No newline at end of file
diff --git a/scrapegraphai/utils/logging.py b/scrapegraphai/utils/logging.py
new file mode 100644
index 00000000..428fb8a7
--- /dev/null
+++ b/scrapegraphai/utils/logging.py
@@ -0,0 +1,137 @@
+"""A centralized logging system for any library
+
+source code inspired by https://github.com/huggingface/transformers/blob/main/src/transformers/utils/logging.py
+"""
+import logging
+import os
+import sys
+import threading
+from functools import lru_cache
+
+
+_library_name = __name__.split(".", maxsplit=1)[0]
+
+_default_handler = None
+_default_logging_level = logging.WARNING
+
+_semaphore = threading.Lock()
+
+
+def _get_library_root_logger() -> logging.Logger:
+    return logging.getLogger(_library_name)
+
+
+def _set_library_root_logger() -> None:
+    global _default_handler
+
+    with _semaphore:
+        if _default_handler: return
+        
+        _default_handler = logging.StreamHandler()  # sys.stderr as stream
+        
+        # https://github.com/pyinstaller/pyinstaller/issues/7334#issuecomment-1357447176
+        if sys.stderr is None:
+            sys.stderr = open(os.devnull, "w")
+
+        _default_handler.flush = sys.stderr.flush
+        
+        library_root_logger = _get_library_root_logger()
+        library_root_logger.addHandler(_default_handler)
+        library_root_logger.setLevel(_default_logging_level)
+        library_root_logger.propagate = False
+
+
+def get_logger(name: str | None = None) -> logging.Logger:
+    _set_library_root_logger()
+    return logging.getLogger(name or _library_name)
+
+
+def get_verbosity() -> int:
+    _set_library_root_logger()
+    return _get_library_root_logger().getEffectiveLevel()
+
+
+def set_verbosity(verbosity: int) -> None:
+    _set_library_root_logger()
+    _get_library_root_logger().setLevel(verbosity)
+
+
+def set_verbosity_debug() -> None:
+    set_verbosity(logging.DEBUG)
+
+
+def set_verbosity_info() -> None:
+    set_verbosity(logging.INFO)
+
+
+def set_verbosity_warning() -> None:
+    set_verbosity(logging.WARNING)
+
+
+def set_verbosity_error() -> None:
+    set_verbosity(logging.ERROR)
+
+
+def set_verbosity_fatal() -> None:
+    set_verbosity(logging.FATAL)
+    
+    
+def set_handler(handler: logging.Handler) -> None:
+    _set_library_root_logger()
+
+    assert handler is not None
+
+    _get_library_root_logger().addHandler(handler)
+
+
+def set_default_handler() -> None:
+    set_handler(_default_handler)
+    
+    
+def unset_handler(handler: logging.Handler) -> None:
+    _set_library_root_logger()
+
+    assert handler is not None
+
+    _get_library_root_logger().removeHandler(handler)
+    
+    
+def unset_default_handler() -> None:
+    unset_handler(_default_handler)
+
+
+def set_propagation() -> None:
+    _get_library_root_logger().propagate = True
+    
+    
+def unset_propagation() -> None:
+    _get_library_root_logger().propagate = False
+    
+    
+def set_formatting() -> None:
+    """sets formatting for all handlers bound to the root logger
+    
+    ```
+        [levelname|filename|line number] time >> message
+    ```
+    """
+    formatter = logging.Formatter(
+        "[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s"
+    )
+
+    for handler in _get_library_root_logger().handlers:
+        handler.setFormatter(formatter)
+        
+
+def unset_formatting() -> None:
+    for handler in _get_library_root_logger().handlers:
+        handler.setFormatter(None)
+        
+
+@lru_cache(None)
+def warning_once(self, *args, **kwargs):
+    """emits warning logs with the same message only once"""
+    self.warning(*args, **kwargs)
+
+
+logging.Logger.warning_once = warning_once
\ No newline at end of file

From 05890835f5224dd1d8411f44142060ba76d9c3f9 Mon Sep 17 00:00:00 2001
From: VinciGit00 <mvincig11@gmail.com>
Date: Wed, 15 May 2024 10:54:53 +0200
Subject: [PATCH 02/12] refactoring of loggers

---
 scrapegraphai/graphs/abstract_graph.py          | 5 +++--
 scrapegraphai/nodes/fetch_node.py               | 5 ++---
 scrapegraphai/nodes/generate_answer_csv_node.py | 4 ++--
 scrapegraphai/nodes/generate_answer_node.py     | 3 +--
 scrapegraphai/nodes/generate_answer_pdf_node.py | 3 +--
 scrapegraphai/nodes/generate_scraper_node.py    | 3 +--
 scrapegraphai/nodes/get_probable_tags_node.py   | 3 +--
 scrapegraphai/nodes/graph_iterator_node.py      | 3 ++-
 scrapegraphai/nodes/image_to_text_node.py       | 3 +--
 scrapegraphai/nodes/merge_answers_node.py       | 3 +--
 scrapegraphai/nodes/parse_node.py               | 3 +--
 scrapegraphai/nodes/rag_node.py                 | 7 +++----
 scrapegraphai/nodes/robots_node.py              | 6 +++---
 scrapegraphai/nodes/search_internet_node.py     | 5 ++---
 scrapegraphai/nodes/search_link_node.py         | 3 +--
 scrapegraphai/nodes/text_to_speech_node.py      | 3 +--
 16 files changed, 26 insertions(+), 36 deletions(-)

diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py
index 28eb27b2..68652dc8 100644
--- a/scrapegraphai/graphs/abstract_graph.py
+++ b/scrapegraphai/graphs/abstract_graph.py
@@ -10,7 +10,7 @@
 from ..helpers import models_tokens
 from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic
 from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
-
+from ..utils.logging import get_logger
 
 class AbstractGraph(ABC):
     """
@@ -61,6 +61,7 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None):
         self.headless = True if config is None else config.get(
             "headless", True)
         self.loader_kwargs = config.get("loader_kwargs", {})
+        self.logger = get_logger("graph")
 
         common_params = {"headless": self.headless,
                          "verbose": self.verbose,
@@ -79,7 +80,7 @@ def set_common_params(self, params: dict, overwrite=False):
 
         for node in self.graph.nodes:
             node.update_config(params, overwrite)
-
+        
     def _set_model_token(self, llm):
 
         if 'Azure' in str(type(llm)):
diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py
index 39463057..6a87d9f4 100644
--- a/scrapegraphai/nodes/fetch_node.py
+++ b/scrapegraphai/nodes/fetch_node.py
@@ -74,8 +74,7 @@ def execute(self, state):
                     necessary information to perform the operation is missing.
         """
         if self.verbose:
-            logger = get_logger("fetch node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -129,7 +128,7 @@ def execute(self, state):
                 cleanedup_html = cleanup_html(response.text, source)
                 compressed_document = [Document(page_content=cleanedup_html)]
             else:	
-                logger.warning(f"Failed to retrieve contents from the webpage at url: {source}")
+                self.logger.warning(f"Failed to retrieve contents from the webpage at url: {source}")
 
         else:
             loader_kwargs = {}
diff --git a/scrapegraphai/nodes/generate_answer_csv_node.py b/scrapegraphai/nodes/generate_answer_csv_node.py
index f3f5b7ec..cf32b411 100644
--- a/scrapegraphai/nodes/generate_answer_csv_node.py
+++ b/scrapegraphai/nodes/generate_answer_csv_node.py
@@ -1,4 +1,5 @@
 """
+gg
 Module for generating the answer node
 """
 # Imports from standard library
@@ -73,8 +74,7 @@ def execute(self, state):
         """
 
         if self.verbose:
-            logger = get_logger("generate_answer csv node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/generate_answer_node.py b/scrapegraphai/nodes/generate_answer_node.py
index beeac15a..234e339e 100644
--- a/scrapegraphai/nodes/generate_answer_node.py
+++ b/scrapegraphai/nodes/generate_answer_node.py
@@ -60,8 +60,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("generate answer node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/generate_answer_pdf_node.py b/scrapegraphai/nodes/generate_answer_pdf_node.py
index 4a42df23..1e7e0edf 100644
--- a/scrapegraphai/nodes/generate_answer_pdf_node.py
+++ b/scrapegraphai/nodes/generate_answer_pdf_node.py
@@ -73,8 +73,7 @@ def execute(self, state):
         """
 
         if self.verbose:
-            logger = get_logger("generate answer pdf node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/generate_scraper_node.py b/scrapegraphai/nodes/generate_scraper_node.py
index a6a8dc00..d35db233 100644
--- a/scrapegraphai/nodes/generate_scraper_node.py
+++ b/scrapegraphai/nodes/generate_scraper_node.py
@@ -64,8 +64,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("generate scraper node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/get_probable_tags_node.py b/scrapegraphai/nodes/get_probable_tags_node.py
index b0c2b41d..39b437a5 100644
--- a/scrapegraphai/nodes/get_probable_tags_node.py
+++ b/scrapegraphai/nodes/get_probable_tags_node.py
@@ -51,8 +51,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("get probable tags node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/graph_iterator_node.py b/scrapegraphai/nodes/graph_iterator_node.py
index b6c7690e..063466a9 100644
--- a/scrapegraphai/nodes/graph_iterator_node.py
+++ b/scrapegraphai/nodes/graph_iterator_node.py
@@ -60,7 +60,8 @@ def execute(self, state: dict) -> dict:
         batchsize = self.node_config.get("batchsize", _default_batchsize)
 
         if self.verbose:
-            print(f"--- Executing {self.node_name} Node with batchsize {batchsize} ---")
+            self.logger.info(f"--- Executing {self.node_name} Node with batchsize {batchsize} ---")
+
 
         try:
             eventloop = asyncio.get_event_loop()
diff --git a/scrapegraphai/nodes/image_to_text_node.py b/scrapegraphai/nodes/image_to_text_node.py
index 07ef3be7..314e26bc 100644
--- a/scrapegraphai/nodes/image_to_text_node.py
+++ b/scrapegraphai/nodes/image_to_text_node.py
@@ -43,8 +43,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("image to text node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            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]
diff --git a/scrapegraphai/nodes/merge_answers_node.py b/scrapegraphai/nodes/merge_answers_node.py
index da115005..8d8c4e82 100644
--- a/scrapegraphai/nodes/merge_answers_node.py
+++ b/scrapegraphai/nodes/merge_answers_node.py
@@ -54,8 +54,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("fetch node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.ogger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/parse_node.py b/scrapegraphai/nodes/parse_node.py
index 436cddc4..2f49106f 100644
--- a/scrapegraphai/nodes/parse_node.py
+++ b/scrapegraphai/nodes/parse_node.py
@@ -49,8 +49,7 @@ def execute(self,  state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("fetch node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/rag_node.py b/scrapegraphai/nodes/rag_node.py
index fdcdd8e8..dae666cf 100644
--- a/scrapegraphai/nodes/rag_node.py
+++ b/scrapegraphai/nodes/rag_node.py
@@ -56,10 +56,9 @@ def execute(self, state: dict) -> dict:
             KeyError: If the input keys are not found in the state, indicating that the
                         necessary information for compressing the content is missing.
         """
-        logger = get_logger("rag node")
 
         if self.verbose:
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -82,7 +81,7 @@ def execute(self, state: dict) -> dict:
             chunked_docs.append(doc)
 
         if self.verbose:
-            logger.info("--- (updated chunks metadata) ---")
+           self.logger.info("--- (updated chunks metadata) ---")
 
         # check if embedder_model is provided, if not use llm_model
         self.embedder_model = self.embedder_model if self.embedder_model else self.llm_model
@@ -110,7 +109,7 @@ def execute(self, state: dict) -> dict:
         compressed_docs = compression_retriever.invoke(user_prompt)
 
         if self.verbose:
-            print("--- (tokens compressed and vector stored) ---")
+            self.logger.info("--- (tokens compressed and vector stored) ---")
 
         state.update({self.output[0]: compressed_docs})
         return state
diff --git a/scrapegraphai/nodes/robots_node.py b/scrapegraphai/nodes/robots_node.py
index ab0c7919..29b71800 100644
--- a/scrapegraphai/nodes/robots_node.py
+++ b/scrapegraphai/nodes/robots_node.py
@@ -122,17 +122,17 @@ def execute(self, state: dict) -> dict:
 
             if "no" in is_scrapable:
                 if self.verbose:
-                    logger.warning("\033[31m(Scraping this website is not allowed)\033[0m")
+                    self.logger.warning("\033[31m(Scraping this website is not allowed)\033[0m")
                     
                 if not self.force_scraping:
                     raise ValueError(
                         'The website you selected is not scrapable')
                 else:
                     if self.verbose:
-                        logger.warning("\033[33m(WARNING: Scraping this website is not allowed but you decided to force it)\033[0m")
+                        self.logger.warning("\033[33m(WARNING: Scraping this website is not allowed but you decided to force it)\033[0m")
             else:
                 if self.verbose:
-                    logger.warning("\033[32m(Scraping this website is allowed)\033[0m")
+                    self.logger.warning("\033[32m(Scraping this website is allowed)\033[0m")
 
         state.update({self.output[0]: is_scrapable})
         return state
diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py
index e2443a25..9611407d 100644
--- a/scrapegraphai/nodes/search_internet_node.py
+++ b/scrapegraphai/nodes/search_internet_node.py
@@ -54,10 +54,9 @@ def execute(self, state: dict) -> dict:
             KeyError: If the input keys are not found in the state, indicating that the
                         necessary information for generating the answer is missing.
         """
-        logger = get_logger("search interne node")
 
         if self.verbose:
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         input_keys = self.get_input_keys(state)
 
@@ -89,7 +88,7 @@ def execute(self, state: dict) -> dict:
         search_query = search_answer.invoke({"user_prompt": user_prompt})[0]
 
         if self.verbose:
-            logger.info(f"Search Query: {search_query}")
+            self.logger.info(f"Search Query: {search_query}")
 
 
         answer = search_on_web(
diff --git a/scrapegraphai/nodes/search_link_node.py b/scrapegraphai/nodes/search_link_node.py
index 93c60e4a..a06ccdee 100644
--- a/scrapegraphai/nodes/search_link_node.py
+++ b/scrapegraphai/nodes/search_link_node.py
@@ -59,8 +59,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("search link node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/text_to_speech_node.py b/scrapegraphai/nodes/text_to_speech_node.py
index 06ed8d5f..497b2501 100644
--- a/scrapegraphai/nodes/text_to_speech_node.py
+++ b/scrapegraphai/nodes/text_to_speech_node.py
@@ -45,8 +45,7 @@ def execute(self, state: dict) -> dict:
         """
 
         if self.verbose:
-            logger = get_logger("text to speach node")
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)

From a4700bfc75cce9eed54e5248e49c26af3c36a851 Mon Sep 17 00:00:00 2001
From: VinciGit00 <mvincig11@gmail.com>
Date: Wed, 15 May 2024 12:00:32 +0200
Subject: [PATCH 03/12] add robot node

---
 examples/single_node/robot_node.py        |   2 +-
 poetry.lock                               |  26 ++--
 scrapegraphai/nodes/robots_node.py        |  11 +-
 tests/nodes/fetch_node_test.py            | 105 ++++++++++---
 tests/nodes/inputs/books.xml              | 120 ++++++++++++++
 tests/nodes/inputs/example.json           | 182 ++++++++++++++++++++++
 tests/nodes/inputs/plain_html_example.txt | 105 +++++++++++++
 tests/nodes/inputs/username.csv           |   7 +
 tests/nodes/robot_node_test.py            |  27 ++--
 tests/nodes/search_link_node_test.py      |  64 ++++++++
 10 files changed, 596 insertions(+), 53 deletions(-)
 create mode 100644 tests/nodes/inputs/books.xml
 create mode 100644 tests/nodes/inputs/example.json
 create mode 100644 tests/nodes/inputs/plain_html_example.txt
 create mode 100644 tests/nodes/inputs/username.csv
 create mode 100644 tests/nodes/search_link_node_test.py

diff --git a/examples/single_node/robot_node.py b/examples/single_node/robot_node.py
index 257c4efb..d824400a 100644
--- a/examples/single_node/robot_node.py
+++ b/examples/single_node/robot_node.py
@@ -11,7 +11,7 @@
 
 graph_config = {
     "llm": {
-        "model": "ollama/llama3",
+        "model_name": "ollama/llama3",
         "temperature": 0,
         "streaming": True
     },
diff --git a/poetry.lock b/poetry.lock
index 4e8d9a33..70b6a265 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -134,13 +134,13 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.25.8"
+version = "0.25.9"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "anthropic-0.25.8-py3-none-any.whl", hash = "sha256:c7a0091916eb22a5e0012b725f5492779eedfcad2da8dc906082e1db7596a65c"},
-    {file = "anthropic-0.25.8.tar.gz", hash = "sha256:93f6063e96d5dbeaa172edc177762f630e55b2f81595cedb760278b95a2dd03e"},
+    {file = "anthropic-0.25.9-py3-none-any.whl", hash = "sha256:d0b17d442160356a531593b237de55d3125cc6fa708f1268c214107e61c81c57"},
+    {file = "anthropic-0.25.9.tar.gz", hash = "sha256:a4ec810b1cfbf3340af99b6f5bf599a83d66986e0f572a5f3bc4ebcab284f629"},
 ]
 
 [package.dependencies]
@@ -245,17 +245,17 @@ lxml = ["lxml"]
 
 [[package]]
 name = "boto3"
-version = "1.34.104"
+version = "1.34.105"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.104-py3-none-any.whl", hash = "sha256:bec91a3bca63320e5f68a25b5eaa7bab65e35bb9253a544875c2e03679f1d5fb"},
-    {file = "boto3-1.34.104.tar.gz", hash = "sha256:5b37c8f4ea6f408147994a6e230c49ca755da57f5964ccea8b8fd4ff5f11759e"},
+    {file = "boto3-1.34.105-py3-none-any.whl", hash = "sha256:b633e8fbf7145bdb995ce68a27d096bb89fd393185b0e773418d81cd78db5a03"},
+    {file = "boto3-1.34.105.tar.gz", hash = "sha256:f2c11635be0de7b7c06eb606ece1add125e02d6ed521592294a0a21af09af135"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.104,<1.35.0"
+botocore = ">=1.34.105,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -264,13 +264,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.104"
+version = "1.34.105"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.104-py3-none-any.whl", hash = "sha256:b68ed482e9b4c313129c9948af5a91d0e84840558e6d232a1a27ab0b9733e5b9"},
-    {file = "botocore-1.34.104.tar.gz", hash = "sha256:fe36dd3cea4160fbbe27dc1cf89cb7018234350555a26933b2977947052a346a"},
+    {file = "botocore-1.34.105-py3-none-any.whl", hash = "sha256:a459d060b541beecb50681e6e8a39313cca981e146a59ba7c5229d62f631a016"},
+    {file = "botocore-1.34.105.tar.gz", hash = "sha256:727d5d3e800ac8b705fca6e19b6fefa1e728a81d62a712df9bd32ed0117c740b"},
 ]
 
 [package.dependencies]
@@ -1861,13 +1861,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.29.0"
+version = "1.30.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.29.0-py3-none-any.whl", hash = "sha256:c61cd12376c84362d406341f9e2f9a9d6b81c082b133b44484dc0f43954496b1"},
-    {file = "openai-1.29.0.tar.gz", hash = "sha256:d5a769f485610cff8bae14343fa45a8b1d346be3d541fa5b28ccd040dbc8baf8"},
+    {file = "openai-1.30.1-py3-none-any.whl", hash = "sha256:c9fb3c3545c118bbce8deb824397b9433a66d0d0ede6a96f7009c95b76de4a46"},
+    {file = "openai-1.30.1.tar.gz", hash = "sha256:4f85190e577cba0b066e1950b8eb9b11d25bc7ebcc43a86b326ce1bfa564ec74"},
 ]
 
 [package.dependencies]
diff --git a/scrapegraphai/nodes/robots_node.py b/scrapegraphai/nodes/robots_node.py
index 29b71800..cdbd3e3a 100644
--- a/scrapegraphai/nodes/robots_node.py
+++ b/scrapegraphai/nodes/robots_node.py
@@ -61,10 +61,9 @@ def execute(self, state: dict) -> dict:
             ValueError: If the website is not scrapeable based on the robots.txt file and
                         scraping is not enforced.
         """
-        logger = get_logger("robots node")
 
         if self.verbose:
-            logger.info(f"--- Executing {self.node_name} Node ---")
+            self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -97,12 +96,12 @@ def execute(self, state: dict) -> dict:
             base_url = f"{parsed_url.scheme}://{parsed_url.netloc}"
             loader = AsyncChromiumLoader(f"{base_url}/robots.txt")
             document = loader.load()
-            if "ollama" in self.llm_model.model_name:
-                self.llm_model.model_name = self.llm_model.model_name.split("/")[-1]
-                model = self.llm_model.model_name.split("/")[-1]
+            if "ollama" in self.llm_model["model_name"]:
+                self.llm_model["model_name"] = self.llm_model["model_name"].split("/")[-1]
+                model = self.llm_model["model_name"].split("/")[-1]
 
             else:
-                model = self.llm_model.model_name
+                model = self.llm_model["model_name"]
             try:
                 agent = robots_dictionary[model]
 
diff --git a/tests/nodes/fetch_node_test.py b/tests/nodes/fetch_node_test.py
index a67f3dbb..47b8b7ee 100644
--- a/tests/nodes/fetch_node_test.py
+++ b/tests/nodes/fetch_node_test.py
@@ -1,19 +1,11 @@
-"""
-Module for testinh fetch_node
-"""
+import os
 import pytest
 from scrapegraphai.nodes import FetchNode
 
-
-@pytest.fixture
-def setup():
+def test_fetch_node_html():
     """
-    setup
+    Run the tests
     """
-    # ************************************************
-    # Define the node
-    # ************************************************
-
     fetch_node = FetchNode(
         input="url | local_dir",
         output=["doc"],
@@ -22,21 +14,94 @@ def setup():
         }
     )
 
-    return fetch_node
+    state = {
+        "url": "https://twitter.com/home"
+    }
 
-# ************************************************
-# Test the node
-# ************************************************
+    result = fetch_node.execute(state)
 
+    assert result is not None
 
-def test_fetch_node(setup):
+def test_fetch_node_json():
     """
     Run the tests
     """
-    state = {
-        "url": "https://twitter.com/home"
+    FILE_NAME_JSON = "inputs/example.json"
+    curr_dir = os.path.dirname(os.path.realpath(__file__))
+    file_path_json = os.path.join(curr_dir, FILE_NAME_JSON)
+
+    state_json = {
+        "json": file_path_json
+    }
+
+    fetch_node_json = FetchNode(
+        input="json",
+        output=["doc"],
+    )
+
+    result_json = fetch_node_json.execute(state_json)
+
+    assert result_json is not None
+
+def test_fetch_node_xml():
+    """
+    Run the tests
+    """
+    FILE_NAME_XML = "inputs/books.xml"
+    curr_dir = os.path.dirname(os.path.realpath(__file__))
+    file_path_xml = os.path.join(curr_dir, FILE_NAME_XML)
+
+    state_xml = {
+        "xml": file_path_xml
     }
 
-    result = setup.execute(state)
+    fetch_node_xml = FetchNode(
+        input="xml",
+        output=["doc"],
+    )
 
-    assert result is not None
+    result_xml = fetch_node_xml.execute(state_xml)
+
+    assert result_xml is not None
+
+def test_fetch_node_csv():
+    """
+    Run the tests
+    """
+    FILE_NAME_CSV = "inputs/username.csv"
+    curr_dir = os.path.dirname(os.path.realpath(__file__))
+    file_path_csv = os.path.join(curr_dir, FILE_NAME_CSV)
+
+    state_csv = {
+        "csv": file_path_csv  # Definire un dizionario con la chiave "csv" e il valore come percorso del file CSV
+    }
+
+    fetch_node_csv = FetchNode(
+        input="csv",
+        output=["doc"],
+    )
+
+    result_csv = fetch_node_csv.execute(state_csv)
+
+    assert result_csv is not None
+
+def test_fetch_node_txt():
+    """
+    Run the tests
+    """
+    FILE_NAME_TXT = "inputs/plain_html_example.txt"
+    curr_dir = os.path.dirname(os.path.realpath(__file__))
+    file_path_txt = os.path.join(curr_dir, FILE_NAME_TXT)
+
+    state_txt = {
+        "txt": file_path_txt  # Definire un dizionario con la chiave "txt" e il valore come percorso del file TXT
+    }
+
+    fetch_node_txt = FetchNode(
+        input="txt",
+        output=["doc"],
+    )
+
+    result_txt = fetch_node_txt.execute(state_txt)
+
+    assert result_txt is not None
diff --git a/tests/nodes/inputs/books.xml b/tests/nodes/inputs/books.xml
new file mode 100644
index 00000000..e3d1fe87
--- /dev/null
+++ b/tests/nodes/inputs/books.xml
@@ -0,0 +1,120 @@
+<?xml version="1.0"?>
+<catalog>
+   <book id="bk101">
+      <author>Gambardella, Matthew</author>
+      <title>XML Developer's Guide</title>
+      <genre>Computer</genre>
+      <price>44.95</price>
+      <publish_date>2000-10-01</publish_date>
+      <description>An in-depth look at creating applications 
+      with XML.</description>
+   </book>
+   <book id="bk102">
+      <author>Ralls, Kim</author>
+      <title>Midnight Rain</title>
+      <genre>Fantasy</genre>
+      <price>5.95</price>
+      <publish_date>2000-12-16</publish_date>
+      <description>A former architect battles corporate zombies, 
+      an evil sorceress, and her own childhood to become queen 
+      of the world.</description>
+   </book>
+   <book id="bk103">
+      <author>Corets, Eva</author>
+      <title>Maeve Ascendant</title>
+      <genre>Fantasy</genre>
+      <price>5.95</price>
+      <publish_date>2000-11-17</publish_date>
+      <description>After the collapse of a nanotechnology 
+      society in England, the young survivors lay the 
+      foundation for a new society.</description>
+   </book>
+   <book id="bk104">
+      <author>Corets, Eva</author>
+      <title>Oberon's Legacy</title>
+      <genre>Fantasy</genre>
+      <price>5.95</price>
+      <publish_date>2001-03-10</publish_date>
+      <description>In post-apocalypse England, the mysterious 
+      agent known only as Oberon helps to create a new life 
+      for the inhabitants of London. Sequel to Maeve 
+      Ascendant.</description>
+   </book>
+   <book id="bk105">
+      <author>Corets, Eva</author>
+      <title>The Sundered Grail</title>
+      <genre>Fantasy</genre>
+      <price>5.95</price>
+      <publish_date>2001-09-10</publish_date>
+      <description>The two daughters of Maeve, half-sisters, 
+      battle one another for control of England. Sequel to 
+      Oberon's Legacy.</description>
+   </book>
+   <book id="bk106">
+      <author>Randall, Cynthia</author>
+      <title>Lover Birds</title>
+      <genre>Romance</genre>
+      <price>4.95</price>
+      <publish_date>2000-09-02</publish_date>
+      <description>When Carla meets Paul at an ornithology 
+      conference, tempers fly as feathers get ruffled.</description>
+   </book>
+   <book id="bk107">
+      <author>Thurman, Paula</author>
+      <title>Splish Splash</title>
+      <genre>Romance</genre>
+      <price>4.95</price>
+      <publish_date>2000-11-02</publish_date>
+      <description>A deep sea diver finds true love twenty 
+      thousand leagues beneath the sea.</description>
+   </book>
+   <book id="bk108">
+      <author>Knorr, Stefan</author>
+      <title>Creepy Crawlies</title>
+      <genre>Horror</genre>
+      <price>4.95</price>
+      <publish_date>2000-12-06</publish_date>
+      <description>An anthology of horror stories about roaches,
+      centipedes, scorpions  and other insects.</description>
+   </book>
+   <book id="bk109">
+      <author>Kress, Peter</author>
+      <title>Paradox Lost</title>
+      <genre>Science Fiction</genre>
+      <price>6.95</price>
+      <publish_date>2000-11-02</publish_date>
+      <description>After an inadvertant trip through a Heisenberg
+      Uncertainty Device, James Salway discovers the problems 
+      of being quantum.</description>
+   </book>
+   <book id="bk110">
+      <author>O'Brien, Tim</author>
+      <title>Microsoft .NET: The Programming Bible</title>
+      <genre>Computer</genre>
+      <price>36.95</price>
+      <publish_date>2000-12-09</publish_date>
+      <description>Microsoft's .NET initiative is explored in 
+      detail in this deep programmer's reference.</description>
+   </book>
+   <book id="bk111">
+      <author>O'Brien, Tim</author>
+      <title>MSXML3: A Comprehensive Guide</title>
+      <genre>Computer</genre>
+      <price>36.95</price>
+      <publish_date>2000-12-01</publish_date>
+      <description>The Microsoft MSXML3 parser is covered in 
+      detail, with attention to XML DOM interfaces, XSLT processing, 
+      SAX and more.</description>
+   </book>
+   <book id="bk112">
+      <author>Galos, Mike</author>
+      <title>Visual Studio 7: A Comprehensive Guide</title>
+      <genre>Computer</genre>
+      <price>49.95</price>
+      <publish_date>2001-04-16</publish_date>
+      <description>Microsoft Visual Studio 7 is explored in depth,
+      looking at how Visual Basic, Visual C++, C#, and ASP+ are 
+      integrated into a comprehensive development 
+      environment.</description>
+   </book>
+</catalog>
\ No newline at end of file
diff --git a/tests/nodes/inputs/example.json b/tests/nodes/inputs/example.json
new file mode 100644
index 00000000..2263184c
--- /dev/null
+++ b/tests/nodes/inputs/example.json
@@ -0,0 +1,182 @@
+{
+   "kind":"youtube#searchListResponse",
+   "etag":"q4ibjmYp1KA3RqMF4jFLl6PBwOg",
+   "nextPageToken":"CAUQAA",
+   "regionCode":"NL",
+   "pageInfo":{
+      "totalResults":1000000,
+      "resultsPerPage":5
+   },
+   "items":[
+      {
+         "kind":"youtube#searchResult",
+         "etag":"QCsHBifbaernVCbLv8Cu6rAeaDQ",
+         "id":{
+            "kind":"youtube#video",
+            "videoId":"TvWDY4Mm5GM"
+         },
+         "snippet":{
+            "publishedAt":"2023-07-24T14:15:01Z",
+            "channelId":"UCwozCpFp9g9x0wAzuFh0hwQ",
+            "title":"3 Football Clubs Kylian Mbappe Should Avoid Signing ✍️❌⚽️ #football #mbappe #shorts",
+            "description":"",
+            "thumbnails":{
+               "default":{
+                  "url":"https://i.ytimg.com/vi/TvWDY4Mm5GM/default.jpg",
+                  "width":120,
+                  "height":90
+               },
+               "medium":{
+                  "url":"https://i.ytimg.com/vi/TvWDY4Mm5GM/mqdefault.jpg",
+                  "width":320,
+                  "height":180
+               },
+               "high":{
+                  "url":"https://i.ytimg.com/vi/TvWDY4Mm5GM/hqdefault.jpg",
+                  "width":480,
+                  "height":360
+               }
+            },
+            "channelTitle":"FC Motivate",
+            "liveBroadcastContent":"none",
+            "publishTime":"2023-07-24T14:15:01Z"
+         }
+      },
+      {
+         "kind":"youtube#searchResult",
+         "etag":"0NG5QHdtIQM_V-DBJDEf-jK_Y9k",
+         "id":{
+            "kind":"youtube#video",
+            "videoId":"aZM_42CcNZ4"
+         },
+         "snippet":{
+            "publishedAt":"2023-07-24T16:09:27Z",
+            "channelId":"UCM5gMM_HqfKHYIEJ3lstMUA",
+            "title":"Which Football Club Could Cristiano Ronaldo Afford To Buy? 💰",
+            "description":"Sign up to Sorare and get a FREE card: https://sorare.pxf.io/NellisShorts Give Soraredata a go for FREE: ...",
+            "thumbnails":{
+               "default":{
+                  "url":"https://i.ytimg.com/vi/aZM_42CcNZ4/default.jpg",
+                  "width":120,
+                  "height":90
+               },
+               "medium":{
+                  "url":"https://i.ytimg.com/vi/aZM_42CcNZ4/mqdefault.jpg",
+                  "width":320,
+                  "height":180
+               },
+               "high":{
+                  "url":"https://i.ytimg.com/vi/aZM_42CcNZ4/hqdefault.jpg",
+                  "width":480,
+                  "height":360
+               }
+            },
+            "channelTitle":"John Nellis",
+            "liveBroadcastContent":"none",
+            "publishTime":"2023-07-24T16:09:27Z"
+         }
+      },
+      {
+         "kind":"youtube#searchResult",
+         "etag":"WbBz4oh9I5VaYj91LjeJvffrBVY",
+         "id":{
+            "kind":"youtube#video",
+            "videoId":"wkP3XS3aNAY"
+         },
+         "snippet":{
+            "publishedAt":"2023-07-24T16:00:50Z",
+            "channelId":"UC4EP1dxFDPup_aFLt0ElsDw",
+            "title":"PAULO DYBALA vs THE WORLD'S LONGEST FREEKICK WALL",
+            "description":"Can Paulo Dybala curl a football around the World's longest free kick wall? We met up with the World Cup winner and put him to ...",
+            "thumbnails":{
+               "default":{
+                  "url":"https://i.ytimg.com/vi/wkP3XS3aNAY/default.jpg",
+                  "width":120,
+                  "height":90
+               },
+               "medium":{
+                  "url":"https://i.ytimg.com/vi/wkP3XS3aNAY/mqdefault.jpg",
+                  "width":320,
+                  "height":180
+               },
+               "high":{
+                  "url":"https://i.ytimg.com/vi/wkP3XS3aNAY/hqdefault.jpg",
+                  "width":480,
+                  "height":360
+               }
+            },
+            "channelTitle":"Shoot for Love",
+            "liveBroadcastContent":"none",
+            "publishTime":"2023-07-24T16:00:50Z"
+         }
+      },
+      {
+         "kind":"youtube#searchResult",
+         "etag":"juxv_FhT_l4qrR05S1QTrb4CGh8",
+         "id":{
+            "kind":"youtube#video",
+            "videoId":"rJkDZ0WvfT8"
+         },
+         "snippet":{
+            "publishedAt":"2023-07-24T10:00:39Z",
+            "channelId":"UCO8qj5u80Ga7N_tP3BZWWhQ",
+            "title":"TOP 10 DEFENDERS 2023",
+            "description":"SoccerKingz https://soccerkingz.nl Use code: 'ILOVEHOF' to get 10% off. TOP 10 DEFENDERS 2023 Follow us! • Instagram ...",
+            "thumbnails":{
+               "default":{
+                  "url":"https://i.ytimg.com/vi/rJkDZ0WvfT8/default.jpg",
+                  "width":120,
+                  "height":90
+               },
+               "medium":{
+                  "url":"https://i.ytimg.com/vi/rJkDZ0WvfT8/mqdefault.jpg",
+                  "width":320,
+                  "height":180
+               },
+               "high":{
+                  "url":"https://i.ytimg.com/vi/rJkDZ0WvfT8/hqdefault.jpg",
+                  "width":480,
+                  "height":360
+               }
+            },
+            "channelTitle":"Home of Football",
+            "liveBroadcastContent":"none",
+            "publishTime":"2023-07-24T10:00:39Z"
+         }
+      },
+      {
+         "kind":"youtube#searchResult",
+         "etag":"wtuknXTmI1txoULeH3aWaOuXOow",
+         "id":{
+            "kind":"youtube#video",
+            "videoId":"XH0rtu4U6SE"
+         },
+         "snippet":{
+            "publishedAt":"2023-07-21T16:30:05Z",
+            "channelId":"UCwozCpFp9g9x0wAzuFh0hwQ",
+            "title":"3 Things You Didn't Know About Erling Haaland ⚽️🇳🇴 #football #haaland #shorts",
+            "description":"",
+            "thumbnails":{
+               "default":{
+                  "url":"https://i.ytimg.com/vi/XH0rtu4U6SE/default.jpg",
+                  "width":120,
+                  "height":90
+               },
+               "medium":{
+                  "url":"https://i.ytimg.com/vi/XH0rtu4U6SE/mqdefault.jpg",
+                  "width":320,
+                  "height":180
+               },
+               "high":{
+                  "url":"https://i.ytimg.com/vi/XH0rtu4U6SE/hqdefault.jpg",
+                  "width":480,
+                  "height":360
+               }
+            },
+            "channelTitle":"FC Motivate",
+            "liveBroadcastContent":"none",
+            "publishTime":"2023-07-21T16:30:05Z"
+         }
+      }
+   ]
+}
\ No newline at end of file
diff --git a/tests/nodes/inputs/plain_html_example.txt b/tests/nodes/inputs/plain_html_example.txt
new file mode 100644
index 00000000..78f814ae
--- /dev/null
+++ b/tests/nodes/inputs/plain_html_example.txt
@@ -0,0 +1,105 @@
+<body class="fixed-top-nav " style="padding-top: 57px;">
+   <header>
+      <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top">
+         <div class="container">
+            <a class="navbar-brand title font-weight-lighter" href="/"><span class="font-weight-bold">Marco&nbsp;</span>Perini</a> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> 
+            <div class="collapse navbar-collapse text-right" id="navbarNav">
+               <ul class="navbar-nav ml-auto flex-nowrap">
+                  <li class="nav-item "> <a class="nav-link" href="/">About</a> </li>
+                  <li class="nav-item dropdown active">
+                     <a class="nav-link dropdown-toggle" href="#" id="navbarDropdown" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Projects<span class="sr-only">(current)</span></a> 
+                     <div class="dropdown-menu dropdown-menu-right" aria-labelledby="navbarDropdown">
+                        <a class="dropdown-item" href="/projects/">Projects</a> 
+                        <div class="dropdown-divider"></div>
+                        <a class="dropdown-item" href="/competitions/">Competitions</a> 
+                     </div>
+                  </li>
+                  <li class="nav-item "> <a class="nav-link" href="/cv/">CV</a> </li>
+                  <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="fa-solid fa-moon"></i> <i class="fa-solid fa-sun"></i> </button> </li>
+               </ul>
+            </div>
+         </div>
+      </nav>
+      <progress id="progress" value="0" max="284" style="top: 57px;">
+         <div class="progress-container"> <span class="progress-bar"></span> </div>
+      </progress>
+   </header>
+   <div class="container mt-5">
+      <div class="post">
+         <header class="post-header">
+            <h1 class="post-title">Projects</h1>
+            <p class="post-description"></p>
+         </header>
+         <article>
+            <div class="projects">
+               <div class="grid" style="position: relative; height: 861.992px;">
+                  <div class="grid-sizer"></div>
+                  <div class="grid-item" style="position: absolute; left: 0px; top: 0px;">
+                     <a href="/projects/rotary-pendulum-rl/">
+                        <div class="card hoverable">
+                           <figure>
+                              <picture>    <img src="/assets/img/rotary_pybullet.jpg" width="auto" height="auto" alt="project thumbnail" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture>
+                           </figure>
+                           <div class="card-body">
+                              <h4 class="card-title">Rotary Pendulum RL</h4>
+                              <p class="card-text">Open Source project aimed at controlling a real life rotary pendulum using RL algorithms</p>
+                              <div class="row ml-1 mr-1 p-0"> </div>
+                           </div>
+                        </div>
+                     </a>
+                  </div>
+                  <div class="grid-sizer"></div>
+                  <div class="grid-item" style="position: absolute; left: 260px; top: 0px;">
+                     <a href="https://github.com/PeriniM/DQN-SwingUp" rel="external nofollow noopener" target="_blank">
+                        <div class="card hoverable">
+                           <figure>
+                              <picture>    <img src="/assets/img/value-policy-heatmaps.jpg" width="auto" height="auto" alt="project thumbnail" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture>
+                           </figure>
+                           <div class="card-body">
+                              <h4 class="card-title">DQN Implementation from scratch</h4>
+                              <p class="card-text">Developed a Deep Q-Network algorithm to train a simple and double pendulum</p>
+                              <div class="row ml-1 mr-1 p-0"> </div>
+                           </div>
+                        </div>
+                     </a>
+                  </div>
+                  <div class="grid-sizer"></div>
+                  <div class="grid-item" style="position: absolute; left: 0px; top: 447.414px;">
+                     <a href="https://github.com/PeriniM/Multi-Agents-HAED" rel="external nofollow noopener" target="_blank">
+                        <div class="card hoverable">
+                           <figure>
+                              <picture>    <img src="/assets/img/multi_agents_haed.gif" width="auto" height="auto" alt="project thumbnail" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture>
+                           </figure>
+                           <div class="card-body">
+                              <h4 class="card-title">Multi Agents HAED</h4>
+                              <p class="card-text">University project which focuses on simulating a multi-agent system to perform environment mapping. Agents, equipped with sensors, explore and record their surroundings, considering uncertainties in their readings.</p>
+                              <div class="row ml-1 mr-1 p-0"> </div>
+                           </div>
+                        </div>
+                     </a>
+                  </div>
+                  <div class="grid-sizer"></div>
+                  <div class="grid-item" style="position: absolute; left: 260px; top: 370.172px;">
+                     <a href="/projects/wireless-esc-drone/">
+                        <div class="card hoverable">
+                           <figure>
+                              <picture>    <img src="/assets/img/wireless_esc.gif" width="auto" height="auto" alt="project thumbnail" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </picture>
+                           </figure>
+                           <div class="card-body">
+                              <h4 class="card-title">Wireless ESC for Modular Drones</h4>
+                              <p class="card-text">Modular drone architecture proposal and proof of concept. The project received maximum grade.</p>
+                              <div class="row ml-1 mr-1 p-0"> </div>
+                           </div>
+                        </div>
+                     </a>
+                  </div>
+               </div>
+            </div>
+         </article>
+      </div>
+   </div>
+   <footer class="fixed-bottom">
+      <div class="container mt-0"> © Copyright 2023 Marco Perini. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme. Hosted by <a href="https://pages.github.com/" target="_blank" rel="external nofollow noopener">GitHub Pages</a>. </div>
+   </footer> 
+   <div class="hiddendiv common"></div>
+</body>
\ No newline at end of file
diff --git a/tests/nodes/inputs/username.csv b/tests/nodes/inputs/username.csv
new file mode 100644
index 00000000..006ac8e6
--- /dev/null
+++ b/tests/nodes/inputs/username.csv
@@ -0,0 +1,7 @@
+Username; Identifier;First name;Last name
+booker12;9012;Rachel;Booker
+grey07;2070;Laura;Grey
+johnson81;4081;Craig;Johnson
+jenkins46;9346;Mary;Jenkins
+smith79;5079;Jamie;Smith
+
diff --git a/tests/nodes/robot_node_test.py b/tests/nodes/robot_node_test.py
index 084522c4..5818b91c 100644
--- a/tests/nodes/robot_node_test.py
+++ b/tests/nodes/robot_node_test.py
@@ -1,15 +1,11 @@
-"""
-Module for testinh robot_node
-"""
 import pytest
 from scrapegraphai.models import Ollama
 from scrapegraphai.nodes import RobotsNode
 
-
 @pytest.fixture
 def setup():
     """
-    setup
+    Setup
     """
     # ************************************************
     # Define the configuration for the graph
@@ -17,7 +13,7 @@ def setup():
 
     graph_config = {
         "llm": {
-            "model": "ollama/llama3",
+            "model_name": "ollama/llama3",  # Modifica il nome dell'attributo da "model_name" a "model"
             "temperature": 0,
             "streaming": True
         },
@@ -32,26 +28,31 @@ def setup():
     robots_node = RobotsNode(
         input="url",
         output=["is_scrapable"],
-        node_config={"llm": llm_model,
+        node_config={"llm_model": llm_model,
                      "headless": False
                      }
     )
 
-    return robots_node
+    # ************************************************
+    # Define the initial state
+    # ************************************************
+
+    initial_state = {
+        "url": "https://twitter.com/home"
+    }
+
+    return robots_node, initial_state
 
 # ************************************************
 # Test the node
 # ************************************************
 
-
 def test_robots_node(setup):
     """
     Run the tests
     """
-    state = {
-        "url": "https://twitter.com/home"
-    }
+    robots_node, initial_state = setup  # Estrai l'oggetto RobotsNode e lo stato iniziale dalla tupla
 
-    result = setup.execute(state)
+    result = robots_node.execute(initial_state)
 
     assert result is not None
diff --git a/tests/nodes/search_link_node_test.py b/tests/nodes/search_link_node_test.py
new file mode 100644
index 00000000..9c00c8dd
--- /dev/null
+++ b/tests/nodes/search_link_node_test.py
@@ -0,0 +1,64 @@
+import pytest
+from scrapegraphai.models import Ollama
+from scrapegraphai.nodes import SearchLinkNode
+
+@pytest.fixture
+def setup():
+    """
+    Setup
+    """
+    # ************************************************
+    # Define the configuration for the graph
+    # ************************************************
+
+    graph_config = {
+        "llm": {
+            "model_name": "ollama/llama3",  # Modifica il nome dell'attributo da "model_name" a "model"
+            "temperature": 0,
+            "streaming": True
+        },
+    }
+
+    # ************************************************
+    # Define the node
+    # ************************************************
+
+    llm_model = Ollama(graph_config["llm"])
+
+    search_link_node = SearchLinkNode(
+        input=["user_prompt", "parsed_content_chunks"],
+        output=["relevant_links"],
+        node_config={"llm_model": llm_model,
+                     "verbose": False
+                     }
+    )
+
+    # ************************************************
+    # Define the initial state
+    # ************************************************
+
+    initial_state = {
+        "user_prompt": "Example user prompt",
+        "parsed_content_chunks": [
+            {"page_content": "Example page content 1"},
+            {"page_content": "Example page content 2"},
+            # Add more example page content dictionaries as needed
+        ]
+    }
+
+    return search_link_node, initial_state
+
+# ************************************************
+# Test the node
+# ************************************************
+
+def test_search_link_node(setup):
+    """
+    Run the tests
+    """
+    search_link_node, initial_state = setup  # Extract the SearchLinkNode object and the initial state from the tuple
+
+    result = search_link_node.execute(initial_state)
+
+    # Assert that the result is not None
+    assert result is not None

From 40260d8d25f167d2353c5c5a6c99e840234bb304 Mon Sep 17 00:00:00 2001
From: VinciGit00 <mvincig11@gmail.com>
Date: Wed, 15 May 2024 16:00:47 +0200
Subject: [PATCH 04/12] remove asdt

---
 scrapegraphai/asdt/__init__.py   |   5 --
 scrapegraphai/asdt/dom_tree.py   |  52 --------------
 scrapegraphai/asdt/tree.py       |  98 --------------------------
 scrapegraphai/asdt/tree_node.py  | 114 -------------------------------
 scrapegraphai/graphs/__init__.py |   1 -
 5 files changed, 270 deletions(-)
 delete mode 100644 scrapegraphai/asdt/__init__.py
 delete mode 100644 scrapegraphai/asdt/dom_tree.py
 delete mode 100644 scrapegraphai/asdt/tree.py
 delete mode 100644 scrapegraphai/asdt/tree_node.py

diff --git a/scrapegraphai/asdt/__init__.py b/scrapegraphai/asdt/__init__.py
deleted file mode 100644
index 539534d6..00000000
--- a/scrapegraphai/asdt/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-"""
-    __init__.py file for asdt module.
-"""
-
-from .dom_tree import DOMTree
diff --git a/scrapegraphai/asdt/dom_tree.py b/scrapegraphai/asdt/dom_tree.py
deleted file mode 100644
index 50b2e179..00000000
--- a/scrapegraphai/asdt/dom_tree.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from bs4 import BeautifulSoup, Comment, NavigableString, Tag
-from .tree import Tree
-from .tree_node import TreeNode
-
-class DOMTree(Tree):
-    def __init__(self, html_content):
-        super().__init__()
-        self.root = TreeNode('document')
-        self.build_dom_tree(BeautifulSoup(html_content, 'html.parser'), self.root)
-
-    def build_dom_tree(self, soup_node, tree_node):
-        for child in soup_node.children:
-            if isinstance(child, Comment):
-                continue  # Skip comments
-            elif isinstance(child, NavigableString):
-                text = child.strip()
-                if text:
-                    new_node = TreeNode(value='text', attributes={'content': text})
-                    tree_node.add_child(new_node)
-                    new_node.finalize_node()
-            elif isinstance(child, Tag):
-                new_node = TreeNode(value=child.name, attributes=child.attrs)
-                tree_node.add_child(new_node)
-                self.build_dom_tree(child, new_node)
-
-    def collect_text_nodes(self, exclude_script=True):
-        texts = []
-        metadatas = []
-
-        def collect(node):
-            # If node is a text node, collect its data
-            if node.value == 'text':
-                texts.append(node.attributes['content'])
-                metadatas.append({
-                    'root_path': node.root_path,
-                    'closest_fork_path': node.closest_fork_path
-                })
-
-        # Traverse the DOM tree to collect text nodes and their metadata
-        def traverse_for_text(node):
-            # Skip traversal into script tags, but continue for other nodes
-            if exclude_script and node.value == 'script':
-                return # Skip script tags
-            
-            if node.leads_to_text or node.value == 'text':
-                collect(node)
-                for child in node.children:
-                    traverse_for_text(child)
-
-        traverse_for_text(self.root)
-        return texts, metadatas
-
diff --git a/scrapegraphai/asdt/tree.py b/scrapegraphai/asdt/tree.py
deleted file mode 100644
index be95f8e6..00000000
--- a/scrapegraphai/asdt/tree.py
+++ /dev/null
@@ -1,98 +0,0 @@
-from graphviz import Digraph
-
-class Tree:
-    def __init__(self, root=None):
-        self.root = root
-
-    def traverse(self, visit_func):
-        def _traverse(node):
-            if node:
-                visit_func(node)
-                for child in node.children:
-                    _traverse(child)
-        _traverse(self.root)
-
-    def get_subtrees(self):
-        # Retrieves all subtrees rooted at fork nodes
-        return self.root.get_subtrees() if self.root else []
-
-    def generate_subtree_dicts(self):
-        subtree_dicts = []
-
-        def aggregate_text_under_fork(fork_node):
-            text_aggregate = {
-                "content": [],
-                "path_to_fork": ""
-            }
-            for child in fork_node.children:
-                if child.value == 'text':
-                    text_aggregate["content"].append(child.attributes['content'])
-                elif child.is_fork:
-                    continue
-                else:
-                    for sub_child in child.children:
-                        text_aggregate["content"].append(sub_child.attributes)
-
-            text_aggregate["path_to_fork"] = fork_node.closest_fork_path
-            return text_aggregate
-
-        def process_node(node):
-            if node.is_fork:
-                texts = aggregate_text_under_fork(node)
-                if texts["content"]:  # Only add if there's text content
-                    subtree_dicts.append({
-                        node.value: {
-                            "text": texts,
-                            "path_to_fork": texts["path_to_fork"],
-                        }
-                    })
-            for child in node.children:
-                process_node(child)
-
-        process_node(self.root)
-        return subtree_dicts
-    
-    def visualize(self, exclude_tags = ['script']):
-        def add_nodes_edges(tree_node, graph):
-           if tree_node:
-                # Skip excluded tags
-                if tree_node.value in exclude_tags:
-                    return
-                
-                # Format node label to include attributes
-                attr_str = None
-                label = f"{tree_node.value}\n[{attr_str}]" if attr_str else tree_node.value
-                # Determine color based on node properties
-                if tree_node.value == 'text':
-                    color = 'red'  # Text nodes
-                elif tree_node.is_fork:
-                    color = 'green'  # Fork nodes
-                elif tree_node.leads_to_text:
-                    color = 'lightblue2'  # Nodes leading to text
-                else:
-                    color = 'white'  # Nodes that do not lead to text and are not forks
-        
-                # Customize node appearance
-                graph.node(name=str(id(tree_node)), label=label, 
-                        fontsize='12', shape='ellipse', color=color, fontcolor='black')
-
-                if tree_node.parent:
-                    graph.edge(str(id(tree_node.parent)), str(id(tree_node)), fontsize='10')
-
-                for child in tree_node.children:
-                    add_nodes_edges(child, graph)
-
-
-        # Initialize Digraph, set graph and node attributes
-        graph = Digraph()
-        # graph.attr(size='10,10', dpi='300')  # Set higher DPI for better image resolution
-        graph.attr('node', style='filled', fontname='Helvetica')
-        graph.attr('edge', fontname='Helvetica')
-
-        add_nodes_edges(self.root, graph)
-        graph.render('tree_visualization', view=True, format='svg')  # Change format to SVG for vectorized output
-
-        return graph
-    
-    def __repr__(self):
-        return f"Tree(root={self.root})"
\ No newline at end of file
diff --git a/scrapegraphai/asdt/tree_node.py b/scrapegraphai/asdt/tree_node.py
deleted file mode 100644
index 636cb5c1..00000000
--- a/scrapegraphai/asdt/tree_node.py
+++ /dev/null
@@ -1,114 +0,0 @@
-from .tree import Tree
-
-class TreeNode:
-    def __init__(self, value=None, attributes=None, children=None, parent=None, depth=0):
-        self.value = value
-        self.attributes = attributes if attributes is not None else {}
-        self.children = children if children is not None else []
-        self.parent = parent
-        self.depth = depth
-        # Flag to track if the subtree leads to text
-        self.leads_to_text = False
-        # Flags to track if the subtree has a direct leaf node
-        self.has_direct_leaves = False
-        self.root_path = self._compute_root_path()
-        self.closest_fork_path = self._compute_fork_path()
-        self.structure_hash = None
-        self.content_hash = None
-
-    def add_child(self, child_node):
-        child_node.parent = self
-        child_node.depth = self.depth + 1
-        self.children.append(child_node)
-        child_node.update_paths()
-        self.update_leads_to_text()
-        self.update_hashes()  # Update hashes when the structure changes
-
-    def update_hashes(self):
-        self.structure_hash = self.hash_subtree_structure(self)
-        self.content_hash = self.hash_subtree_content(self)
-
-    def update_paths(self):
-        self.root_path = self._compute_root_path()
-        self.closest_fork_path = self._compute_fork_path()
-
-    def update_leads_to_text(self):
-        # Check if any child leads to text or is a text node
-        if any(child.value == 'text' or child.leads_to_text for child in self.children):
-            self.leads_to_text = True
-        # Update the flag up the tree
-        if self.parent and not self.parent.leads_to_text:
-            self.parent.update_leads_to_text()
-
-    def _compute_root_path(self):
-        path = []
-        current = self
-        while current.parent:
-            path.append(current.value)
-            current = current.parent
-        path.append('root')  # Append 'root' to start of the path
-        return '>'.join(reversed(path))
-
-    def _compute_fork_path(self):
-        path = []
-        current = self
-        while current.parent and len(current.parent.children) == 1:
-            path.append(current.value)
-            current = current.parent
-        path.append(current.value)  # Add the fork or root node
-        return '>'.join(reversed(path))
-
-    def finalize_node(self):
-        if self.is_text and self.is_leaf:
-            self.update_direct_leaves_flag()
-
-    def update_direct_leaves_flag(self):
-        ancestor = self.parent
-        while ancestor and len(ancestor.children) == 1:
-            ancestor = ancestor.parent
-        if ancestor and ancestor.is_fork:
-            ancestor.has_direct_leaves = True
-
-    def get_subtrees(self, direct_leaves=False):
-        # This method finds and returns subtrees rooted at this node and all descendant forks
-        # Optionally filters to include only those with direct leaves beneath fork nodes
-        subtrees = []
-        if self.is_fork and (not direct_leaves or self.has_direct_leaves):
-            subtrees.append(Tree(root=self))
-        for child in self.children:
-            subtrees.extend(child.get_subtrees(direct_leaves=direct_leaves))
-        return subtrees
-
-    def hash_subtree_structure(self, node):
-        """ Recursively generate a hash for the subtree structure. """
-        if node.is_leaf:
-            return hash((node.value,))  # Simple hash for leaf nodes
-        child_hashes = tuple(self.hash_subtree_structure(child) for child in node.children)
-        return hash((node.value, child_hashes))
-
-    def hash_subtree_content(self, node):
-        """ Generate a hash based on the concatenated text of the subtree. """
-        text_content = self.get_all_text(node).lower().strip()
-        return hash(text_content)
-
-    def get_all_text(self, node):
-        """ Recursively get all text from a node and its descendants. """
-        text = node.attributes.get('content', '') if node.value == 'text' else ''
-        for child in node.children:
-            text += self.get_all_text(child)
-        return text
-
-    def __repr__(self):
-        return f"TreeNode(value={self.value}, leads_to_text={self.leads_to_text}, is_fork={self.is_fork})"
-
-    @property
-    def is_fork(self):
-        return len(self.children) > 1
-
-    @property
-    def is_leaf(self):
-        return len(self.children) == 0
-    
-    @property
-    def is_text(self):
-        return self.value == 'text'
\ No newline at end of file
diff --git a/scrapegraphai/graphs/__init__.py b/scrapegraphai/graphs/__init__.py
index 10eb6d8e..15f4a4ec 100644
--- a/scrapegraphai/graphs/__init__.py
+++ b/scrapegraphai/graphs/__init__.py
@@ -15,4 +15,3 @@
 from .pdf_scraper_graph import PDFScraperGraph
 from .omni_scraper_graph import OmniScraperGraph
 from .omni_search_graph import OmniSearchGraph
-from .turbo_scraper import TurboScraperGraph

From 4fe58d9ba48ab2c71b8847bd162bd70050ce0569 Mon Sep 17 00:00:00 2001
From: VinciGit00 <mvincig11@gmail.com>
Date: Wed, 15 May 2024 16:12:13 +0200
Subject: [PATCH 05/12] fix logger

---
 scrapegraphai/graphs/abstract_graph.py | 2 --
 scrapegraphai/nodes/base_node.py       | 2 ++
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py
index 68652dc8..0c956f3d 100644
--- a/scrapegraphai/graphs/abstract_graph.py
+++ b/scrapegraphai/graphs/abstract_graph.py
@@ -10,7 +10,6 @@
 from ..helpers import models_tokens
 from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic
 from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
-from ..utils.logging import get_logger
 
 class AbstractGraph(ABC):
     """
@@ -61,7 +60,6 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None):
         self.headless = True if config is None else config.get(
             "headless", True)
         self.loader_kwargs = config.get("loader_kwargs", {})
-        self.logger = get_logger("graph")
 
         common_params = {"headless": self.headless,
                          "verbose": self.verbose,
diff --git a/scrapegraphai/nodes/base_node.py b/scrapegraphai/nodes/base_node.py
index cabfeda0..b01d44d0 100644
--- a/scrapegraphai/nodes/base_node.py
+++ b/scrapegraphai/nodes/base_node.py
@@ -4,6 +4,7 @@
 
 from abc import ABC, abstractmethod
 from typing import Optional, List
+from ..utils.logging import get_logger
 import re
 
 
@@ -48,6 +49,7 @@ def __init__(self, node_name: str, node_type: str, input: str, output: List[str]
         self.output = output
         self.min_input_len = min_input_len
         self.node_config = node_config
+        self.logger = get_logger("node")
 
         if node_type not in ["node", "conditional_node"]:
             raise ValueError(

From befa48c9126820b65e3f0974c0dcd57952e5937e Mon Sep 17 00:00:00 2001
From: VinciGit00 <mvincig11@gmail.com>
Date: Wed, 15 May 2024 21:28:56 +0200
Subject: [PATCH 06/12] update lock

---
 .python-version                         |    2 +-
 examples/openai/smart_scraper_openai.py |    4 +-
 poetry.lock                             | 3347 -----------------------
 requirements-dev.lock                   |    1 -
 requirements.lock                       |    1 -
 scrapegraphai/helpers/models_tokens.py  |    1 +
 6 files changed, 4 insertions(+), 3352 deletions(-)
 delete mode 100644 poetry.lock

diff --git a/.python-version b/.python-version
index 8e34c813..1445aee8 100644
--- a/.python-version
+++ b/.python-version
@@ -1 +1 @@
-3.9.19
+3.10.14
diff --git a/examples/openai/smart_scraper_openai.py b/examples/openai/smart_scraper_openai.py
index 4f0952ae..ed10b409 100644
--- a/examples/openai/smart_scraper_openai.py
+++ b/examples/openai/smart_scraper_openai.py
@@ -19,9 +19,9 @@
 graph_config = {
     "llm": {
         "api_key": openai_key,
-        "model": "gpt-4o",
+        "model": "gpt-3.5-turbo",
     },
-    "verbose": True,
+    "verbose": False,
     "headless": False,
 }
 
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 70b6a265..00000000
--- a/poetry.lock
+++ /dev/null
@@ -1,3347 +0,0 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
-
-[[package]]
-name = "aiohttp"
-version = "3.9.5"
-description = "Async http client/server framework (asyncio)"
-optional = false
-python-versions = ">=3.8"
-files = [
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-    {file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
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-    {file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430"},
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-    {file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c413016880e03e69d166efb5a1a95d40f83d5a3a648d16486592c49ffb76d0db"},
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-    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
-    {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
-    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
-    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
-    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
-    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
-    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
-    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
-    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
-    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
-    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
-    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
-    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
-    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
-    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
-    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
-]
-
-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
-
-[[package]]
-name = "zipp"
-version = "3.18.1"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
-    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
-]
-
-[package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
-
-[metadata]
-lock-version = "2.0"
-python-versions = ">=3.9, <3.12"
-content-hash = "6dfa70f2c9491036edbe78ae707f1d7da1adc19484535aa4dafb6d9b21891cac"
diff --git a/requirements-dev.lock b/requirements-dev.lock
index 7c37321b..02ba2fde 100644
--- a/requirements-dev.lock
+++ b/requirements-dev.lock
@@ -93,7 +93,6 @@ graphviz==0.20.3
     # via scrapegraphai
 greenlet==3.0.3
     # via playwright
-    # via sqlalchemy
 groq==0.5.0
     # via langchain-groq
 grpcio==1.63.0
diff --git a/requirements.lock b/requirements.lock
index c02d4522..09d427cc 100644
--- a/requirements.lock
+++ b/requirements.lock
@@ -92,7 +92,6 @@ graphviz==0.20.3
     # via scrapegraphai
 greenlet==3.0.3
     # via playwright
-    # via sqlalchemy
 groq==0.5.0
     # via langchain-groq
 grpcio==1.63.0
diff --git a/scrapegraphai/helpers/models_tokens.py b/scrapegraphai/helpers/models_tokens.py
index f8881d75..871291f5 100644
--- a/scrapegraphai/helpers/models_tokens.py
+++ b/scrapegraphai/helpers/models_tokens.py
@@ -5,6 +5,7 @@
 models_tokens = {
     "openai": {
         "gpt-3.5-turbo-0125": 16385,
+        "gpt-3.5": 4096,
         "gpt-3.5-turbo": 4096,
         "gpt-3.5-turbo-1106": 16385,
         "gpt-3.5-turbo-instruct": 4096,

From b377467b29e039ecb3da8d3f6756c8998b8d1f62 Mon Sep 17 00:00:00 2001
From: Marco Vinciguerra <mvincig11@gmail.com>
Date: Thu, 23 May 2024 12:51:08 +0200
Subject: [PATCH 07/12] add info

---
 examples/local_models/smart_scraper_ollama.py | 1 +
 scrapegraphai/graphs/abstract_graph.py        | 7 +++++--
 scrapegraphai/nodes/base_node.py              | 2 --
 scrapegraphai/nodes/fetch_node.py             | 4 ++--
 4 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/examples/local_models/smart_scraper_ollama.py b/examples/local_models/smart_scraper_ollama.py
index babf4c2b..8c17ffa6 100644
--- a/examples/local_models/smart_scraper_ollama.py
+++ b/examples/local_models/smart_scraper_ollama.py
@@ -20,6 +20,7 @@
         # "base_url": "http://localhost:11434",  # set ollama URL arbitrarily
     },
     "verbose": True,
+    "headless": False
 }
 
 # ************************************************
diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py
index 0c956f3d..33942956 100644
--- a/scrapegraphai/graphs/abstract_graph.py
+++ b/scrapegraphai/graphs/abstract_graph.py
@@ -8,6 +8,7 @@
 from langchain_community.embeddings import HuggingFaceHubEmbeddings, OllamaEmbeddings
 from langchain_google_genai import GoogleGenerativeAIEmbeddings
 from ..helpers import models_tokens
+from ..utils.logging import set_verbosity
 from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic
 from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
 
@@ -55,14 +56,16 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None):
         self.execution_info = None
 
         # Set common configuration parameters
-        self.verbose = False if config is None else config.get(
+    
+        verbose = False if config is None else config.get(
             "verbose", False)
+        set_verbosity(config.get("verbose", "info"))
         self.headless = True if config is None else config.get(
             "headless", True)
         self.loader_kwargs = config.get("loader_kwargs", {})
 
         common_params = {"headless": self.headless,
-                         "verbose": self.verbose,
+                     
                          "loader_kwargs": self.loader_kwargs,
                          "llm_model": self.llm_model,
                          "embedder_model": self.embedder_model}
diff --git a/scrapegraphai/nodes/base_node.py b/scrapegraphai/nodes/base_node.py
index b01d44d0..cabfeda0 100644
--- a/scrapegraphai/nodes/base_node.py
+++ b/scrapegraphai/nodes/base_node.py
@@ -4,7 +4,6 @@
 
 from abc import ABC, abstractmethod
 from typing import Optional, List
-from ..utils.logging import get_logger
 import re
 
 
@@ -49,7 +48,6 @@ def __init__(self, node_name: str, node_type: str, input: str, output: List[str]
         self.output = output
         self.min_input_len = min_input_len
         self.node_config = node_config
-        self.logger = get_logger("node")
 
         if node_type not in ["node", "conditional_node"]:
             raise ValueError(
diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py
index ae9e87d3..3ae62c3b 100644
--- a/scrapegraphai/nodes/fetch_node.py
+++ b/scrapegraphai/nodes/fetch_node.py
@@ -73,8 +73,8 @@ def execute(self, state):
             KeyError: If the input key is not found in the state, indicating that the
                     necessary information to perform the operation is missing.
         """
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+    
+        logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)

From d1394809d704bee4085d494ddebab772306b3b17 Mon Sep 17 00:00:00 2001
From: Federico Minutoli <f.minutoli@reply.it>
Date: Fri, 24 May 2024 01:08:08 +0200
Subject: [PATCH 08/12] fix(logging): source code citation

---
 scrapegraphai/utils/logging.py | 40 ++++++++++++++++++----------------
 1 file changed, 21 insertions(+), 19 deletions(-)

diff --git a/scrapegraphai/utils/logging.py b/scrapegraphai/utils/logging.py
index 428fb8a7..b4a677dd 100644
--- a/scrapegraphai/utils/logging.py
+++ b/scrapegraphai/utils/logging.py
@@ -1,7 +1,8 @@
 """A centralized logging system for any library
 
-source code inspired by https://github.com/huggingface/transformers/blob/main/src/transformers/utils/logging.py
+source code inspired by https://gist.github.com/DiTo97/9a0377f24236b66134eb96da1ec1693f
 """
+
 import logging
 import os
 import sys
@@ -25,16 +26,17 @@ def _set_library_root_logger() -> None:
     global _default_handler
 
     with _semaphore:
-        if _default_handler: return
-        
+        if _default_handler:
+            return
+
         _default_handler = logging.StreamHandler()  # sys.stderr as stream
-        
+
         # https://github.com/pyinstaller/pyinstaller/issues/7334#issuecomment-1357447176
         if sys.stderr is None:
             sys.stderr = open(os.devnull, "w")
 
         _default_handler.flush = sys.stderr.flush
-        
+
         library_root_logger = _get_library_root_logger()
         library_root_logger.addHandler(_default_handler)
         library_root_logger.setLevel(_default_logging_level)
@@ -74,8 +76,8 @@ def set_verbosity_error() -> None:
 
 def set_verbosity_fatal() -> None:
     set_verbosity(logging.FATAL)
-    
-    
+
+
 def set_handler(handler: logging.Handler) -> None:
     _set_library_root_logger()
 
@@ -86,31 +88,31 @@ def set_handler(handler: logging.Handler) -> None:
 
 def set_default_handler() -> None:
     set_handler(_default_handler)
-    
-    
+
+
 def unset_handler(handler: logging.Handler) -> None:
     _set_library_root_logger()
 
     assert handler is not None
 
     _get_library_root_logger().removeHandler(handler)
-    
-    
+
+
 def unset_default_handler() -> None:
     unset_handler(_default_handler)
 
 
 def set_propagation() -> None:
     _get_library_root_logger().propagate = True
-    
-    
+
+
 def unset_propagation() -> None:
     _get_library_root_logger().propagate = False
-    
-    
+
+
 def set_formatting() -> None:
     """sets formatting for all handlers bound to the root logger
-    
+
     ```
         [levelname|filename|line number] time >> message
     ```
@@ -121,12 +123,12 @@ def set_formatting() -> None:
 
     for handler in _get_library_root_logger().handlers:
         handler.setFormatter(formatter)
-        
+
 
 def unset_formatting() -> None:
     for handler in _get_library_root_logger().handlers:
         handler.setFormatter(None)
-        
+
 
 @lru_cache(None)
 def warning_once(self, *args, **kwargs):
@@ -134,4 +136,4 @@ def warning_once(self, *args, **kwargs):
     self.warning(*args, **kwargs)
 
 
-logging.Logger.warning_once = warning_once
\ No newline at end of file
+logging.Logger.warning_once = warning_once

From 0790ecd2083642af9f0a84583216ababe351cd76 Mon Sep 17 00:00:00 2001
From: Federico Minutoli <f.minutoli@reply.it>
Date: Fri, 24 May 2024 01:08:28 +0200
Subject: [PATCH 09/12] fix(web-loader): use sublogger

---
 scrapegraphai/docloaders/chromium.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/scrapegraphai/docloaders/chromium.py b/scrapegraphai/docloaders/chromium.py
index 7d499245..64a74734 100644
--- a/scrapegraphai/docloaders/chromium.py
+++ b/scrapegraphai/docloaders/chromium.py
@@ -1,14 +1,13 @@
 import asyncio
-import logging
 from typing import Any, AsyncIterator, Iterator, List, Optional
 
 from langchain_community.document_loaders.base import BaseLoader
 from langchain_core.documents import Document
 
-from ..utils import Proxy, dynamic_import, parse_or_search_proxy
+from ..utils import Proxy, dynamic_import, get_logger, parse_or_search_proxy
 
 
-logger = logging.getLogger(__name__)
+logger = get_logger("web-loader")
 
 
 class ChromiumLoader(BaseLoader):

From c807695720a85c74a0b4365afb397bbbcd7e2889 Mon Sep 17 00:00:00 2001
From: Federico Minutoli <f.minutoli@reply.it>
Date: Fri, 24 May 2024 01:09:03 +0200
Subject: [PATCH 10/12] feat(verbose): centralized graph logging on debug or
 warning depending on verbose

---
 scrapegraphai/graphs/abstract_graph.py | 121 ++++++++++++++-----------
 1 file changed, 69 insertions(+), 52 deletions(-)

diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py
index 33942956..839af910 100644
--- a/scrapegraphai/graphs/abstract_graph.py
+++ b/scrapegraphai/graphs/abstract_graph.py
@@ -1,16 +1,29 @@
 """
 AbstractGraph Module
 """
+
 from abc import ABC, abstractmethod
 from typing import Optional
+
 from langchain_aws import BedrockEmbeddings
-from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
 from langchain_community.embeddings import HuggingFaceHubEmbeddings, OllamaEmbeddings
 from langchain_google_genai import GoogleGenerativeAIEmbeddings
-from ..helpers import models_tokens
-from ..utils.logging import set_verbosity
-from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic
 from langchain_google_genai.embeddings import GoogleGenerativeAIEmbeddings
+from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
+
+from ..helpers import models_tokens
+from ..models import (
+    Anthropic,
+    AzureOpenAI,
+    Bedrock,
+    Gemini,
+    Groq,
+    HuggingFace,
+    Ollama,
+    OpenAI,
+)
+from ..utils.logging import set_verbosity_debug, set_verbosity_warning
+
 
 class AbstractGraph(ABC):
     """
@@ -46,9 +59,11 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None):
         self.source = source
         self.config = config
         self.llm_model = self._create_llm(config["llm"], chat=True)
-        self.embedder_model = self._create_default_embedder(llm_config=config["llm"]
-                                                            ) if "embeddings" not in config else self._create_embedder(
-            config["embeddings"])
+        self.embedder_model = (
+            self._create_default_embedder(llm_config=config["llm"])
+            if "embeddings" not in config
+            else self._create_embedder(config["embeddings"])
+        )
 
         # Create the graph
         self.graph = self._create_graph()
@@ -56,19 +71,23 @@ def __init__(self, prompt: str, config: dict, source: Optional[str] = None):
         self.execution_info = None
 
         # Set common configuration parameters
-    
-        verbose = False if config is None else config.get(
-            "verbose", False)
-        set_verbosity(config.get("verbose", "info"))
-        self.headless = True if config is None else config.get(
-            "headless", True)
+
+        verbose = bool(config and config.get("verbose"))
+
+        if verbose:
+            set_verbosity_debug()
+        else:
+            set_verbosity_warning()
+
+        self.headless = True if config is None else config.get("headless", True)
         self.loader_kwargs = config.get("loader_kwargs", {})
 
-        common_params = {"headless": self.headless,
-                     
-                         "loader_kwargs": self.loader_kwargs,
-                         "llm_model": self.llm_model,
-                         "embedder_model": self.embedder_model}
+        common_params = {
+            "headless": self.headless,
+            "loader_kwargs": self.loader_kwargs,
+            "llm_model": self.llm_model,
+            "embedder_model": self.embedder_model,
+        }
         self.set_common_params(common_params, overwrite=False)
 
     def set_common_params(self, params: dict, overwrite=False):
@@ -81,25 +100,25 @@ def set_common_params(self, params: dict, overwrite=False):
 
         for node in self.graph.nodes:
             node.update_config(params, overwrite)
-        
+
     def _set_model_token(self, llm):
 
-        if 'Azure' in str(type(llm)):
+        if "Azure" in str(type(llm)):
             try:
                 self.model_token = models_tokens["azure"][llm.model_name]
             except KeyError:
                 raise KeyError("Model not supported")
 
-        elif 'HuggingFaceEndpoint' in str(type(llm)):
-            if 'mistral' in llm.repo_id:
+        elif "HuggingFaceEndpoint" in str(type(llm)):
+            if "mistral" in llm.repo_id:
                 try:
-                    self.model_token = models_tokens['mistral'][llm.repo_id]
+                    self.model_token = models_tokens["mistral"][llm.repo_id]
                 except KeyError:
                     raise KeyError("Model not supported")
-        elif 'Google' in str(type(llm)):
+        elif "Google" in str(type(llm)):
             try:
-                if 'gemini' in llm.model:
-                    self.model_token = models_tokens['gemini'][llm.model]
+                if "gemini" in llm.model:
+                    self.model_token = models_tokens["gemini"][llm.model]
             except KeyError:
                 raise KeyError("Model not supported")
 
@@ -117,17 +136,14 @@ def _create_llm(self, llm_config: dict, chat=False) -> object:
             KeyError: If the model is not supported.
         """
 
-        llm_defaults = {
-            "temperature": 0,
-            "streaming": False
-        }
+        llm_defaults = {"temperature": 0, "streaming": False}
         llm_params = {**llm_defaults, **llm_config}
 
         # If model instance is passed directly instead of the model details
-        if 'model_instance' in llm_params:
+        if "model_instance" in llm_params:
             if chat:
-                self._set_model_token(llm_params['model_instance'])
-            return llm_params['model_instance']
+                self._set_model_token(llm_params["model_instance"])
+            return llm_params["model_instance"]
 
         # Instantiate the language model based on the model name
         if "gpt-" in llm_params["model"]:
@@ -193,18 +209,20 @@ def _create_llm(self, llm_config: dict, chat=False) -> object:
         elif "bedrock" in llm_params["model"]:
             llm_params["model"] = llm_params["model"].split("/")[-1]
             model_id = llm_params["model"]
-            client = llm_params.get('client', None)
+            client = llm_params.get("client", None)
             try:
                 self.model_token = models_tokens["bedrock"][llm_params["model"]]
             except KeyError as exc:
                 raise KeyError("Model not supported") from exc
-            return Bedrock({
-                "client": client,
-                "model_id": model_id,
-                "model_kwargs": {
-                    "temperature": llm_params["temperature"],
+            return Bedrock(
+                {
+                    "client": client,
+                    "model_id": model_id,
+                    "model_kwargs": {
+                        "temperature": llm_params["temperature"],
+                    },
                 }
-            })
+            )
         elif "claude-3-" in llm_params["model"]:
             self.model_token = models_tokens["claude"]["claude3"]
             return Anthropic(llm_params)
@@ -215,8 +233,7 @@ def _create_llm(self, llm_config: dict, chat=False) -> object:
                 raise KeyError("Model not supported") from exc
             return DeepSeek(llm_params)
         else:
-            raise ValueError(
-                "Model provided by the configuration not supported")
+            raise ValueError("Model provided by the configuration not supported")
 
     def _create_default_embedder(self, llm_config=None) -> object:
         """
@@ -229,8 +246,9 @@ def _create_default_embedder(self, llm_config=None) -> object:
             ValueError: If the model is not supported.
         """
         if isinstance(self.llm_model, Gemini):
-            return GoogleGenerativeAIEmbeddings(google_api_key=llm_config['api_key'],
-                                                model="models/embedding-001")
+            return GoogleGenerativeAIEmbeddings(
+                google_api_key=llm_config["api_key"], model="models/embedding-001"
+            )
         if isinstance(self.llm_model, OpenAI):
             return OpenAIEmbeddings(api_key=self.llm_model.openai_api_key)
         elif isinstance(self.llm_model, AzureOpenAIEmbeddings):
@@ -265,8 +283,8 @@ def _create_embedder(self, embedder_config: dict) -> object:
         Raises:
             KeyError: If the model is not supported.
         """
-        if 'model_instance' in embedder_config:
-            return embedder_config['model_instance']
+        if "model_instance" in embedder_config:
+            return embedder_config["model_instance"]
         # Instantiate the embedding model based on the model name
         if "openai" in embedder_config["model"]:
             return OpenAIEmbeddings(api_key=embedder_config["api_key"])
@@ -283,28 +301,27 @@ def _create_embedder(self, embedder_config: dict) -> object:
             try:
                 models_tokens["hugging_face"][embedder_config["model"]]
             except KeyError as exc:
-                raise KeyError("Model not supported")from exc
+                raise KeyError("Model not supported") from exc
             return HuggingFaceHubEmbeddings(model=embedder_config["model"])
         elif "gemini" in embedder_config["model"]:
             try:
                 models_tokens["gemini"][embedder_config["model"]]
             except KeyError as exc:
-                raise KeyError("Model not supported")from exc
+                raise KeyError("Model not supported") from exc
             return GoogleGenerativeAIEmbeddings(model=embedder_config["model"])
         elif "bedrock" in embedder_config["model"]:
             embedder_config["model"] = embedder_config["model"].split("/")[-1]
-            client = embedder_config.get('client', None)
+            client = embedder_config.get("client", None)
             try:
                 models_tokens["bedrock"][embedder_config["model"]]
             except KeyError as exc:
                 raise KeyError("Model not supported") from exc
             return BedrockEmbeddings(client=client, model_id=embedder_config["model"])
         else:
-            raise ValueError(
-                "Model provided by the configuration not supported")
+            raise ValueError("Model provided by the configuration not supported")
 
     def get_state(self, key=None) -> dict:
-        """""
+        """ ""
         Get the final state of the graph.
 
         Args:

From 4348d4f4db6f30213acc1bbccebc2b143b4d2636 Mon Sep 17 00:00:00 2001
From: Federico Minutoli <f.minutoli@reply.it>
Date: Fri, 24 May 2024 01:09:26 +0200
Subject: [PATCH 11/12] fix(logger): set up centralized root logger in base
 node

---
 scrapegraphai/nodes/base_node.py | 91 ++++++++++++++++++++------------
 1 file changed, 58 insertions(+), 33 deletions(-)

diff --git a/scrapegraphai/nodes/base_node.py b/scrapegraphai/nodes/base_node.py
index cabfeda0..60f4c946 100644
--- a/scrapegraphai/nodes/base_node.py
+++ b/scrapegraphai/nodes/base_node.py
@@ -2,9 +2,11 @@
 BaseNode Module
 """
 
-from abc import ABC, abstractmethod
-from typing import Optional, List
 import re
+from abc import ABC, abstractmethod
+from typing import List, Optional
+
+from ..utils import get_logger
 
 
 class BaseNode(ABC):
@@ -14,10 +16,11 @@ class BaseNode(ABC):
     Attributes:
         node_name (str): The unique identifier name for the node.
         input (str): Boolean expression defining the input keys needed from the state.
-        output (List[str]): List of 
+        output (List[str]): List of
         min_input_len (int): Minimum required number of input keys.
         node_config (Optional[dict]): Additional configuration for the node.
-    
+        logger (logging.Logger): The centralized root logger
+
     Args:
         node_name (str): Name for identifying the node.
         node_type (str): Type of the node; must be 'node' or 'conditional_node'.
@@ -28,7 +31,7 @@ class BaseNode(ABC):
 
     Raises:
         ValueError: If `node_type` is not one of the allowed types.
-    
+
     Example:
         >>> class MyNode(BaseNode):
         ...     def execute(self, state):
@@ -40,18 +43,27 @@ class BaseNode(ABC):
         {'key': 'value'}
     """
 
-    def __init__(self, node_name: str, node_type: str, input: str, output: List[str],
-                 min_input_len: int = 1, node_config: Optional[dict] = None):
+    def __init__(
+        self,
+        node_name: str,
+        node_type: str,
+        input: str,
+        output: List[str],
+        min_input_len: int = 1,
+        node_config: Optional[dict] = None,
+    ):
 
         self.node_name = node_name
         self.input = input
         self.output = output
         self.min_input_len = min_input_len
         self.node_config = node_config
+        self.logger = get_logger()
 
         if node_type not in ["node", "conditional_node"]:
             raise ValueError(
-                f"node_type must be 'node' or 'conditional_node', got '{node_type}'")
+                f"node_type must be 'node' or 'conditional_node', got '{node_type}'"
+            )
         self.node_type = node_type
 
     @abstractmethod
@@ -102,8 +114,7 @@ def get_input_keys(self, state: dict) -> List[str]:
             self._validate_input_keys(input_keys)
             return input_keys
         except ValueError as e:
-            raise ValueError(
-                f"Error parsing input keys for {self.node_name}: {str(e)}")
+            raise ValueError(f"Error parsing input keys for {self.node_name}: {str(e)}")
 
     def _validate_input_keys(self, input_keys):
         """
@@ -119,7 +130,8 @@ def _validate_input_keys(self, input_keys):
         if len(input_keys) < self.min_input_len:
             raise ValueError(
                 f"""{self.node_name} requires at least {self.min_input_len} input keys,
-                  got {len(input_keys)}.""")
+                  got {len(input_keys)}."""
+            )
 
     def _parse_input_keys(self, state: dict, expression: str) -> List[str]:
         """
@@ -142,67 +154,80 @@ def _parse_input_keys(self, state: dict, expression: str) -> List[str]:
             raise ValueError("Empty expression.")
 
         # Check for adjacent state keys without an operator between them
-        pattern = r'\b(' + '|'.join(re.escape(key) for key in state.keys()) + \
-            r')(\b\s*\b)(' + '|'.join(re.escape(key)
-                                      for key in state.keys()) + r')\b'
+        pattern = (
+            r"\b("
+            + "|".join(re.escape(key) for key in state.keys())
+            + r")(\b\s*\b)("
+            + "|".join(re.escape(key) for key in state.keys())
+            + r")\b"
+        )
         if re.search(pattern, expression):
             raise ValueError(
-                "Adjacent state keys found without an operator between them.")
+                "Adjacent state keys found without an operator between them."
+            )
 
         # Remove spaces
         expression = expression.replace(" ", "")
 
         # Check for operators with empty adjacent tokens or at the start/end
-        if expression[0] in '&|' or expression[-1] in '&|' \
-                or '&&' in expression or '||' in expression or \
-                '&|' in expression or '|&' in expression:
+        if (
+            expression[0] in "&|"
+            or expression[-1] in "&|"
+            or "&&" in expression
+            or "||" in expression
+            or "&|" in expression
+            or "|&" in expression
+        ):
             raise ValueError("Invalid operator usage.")
 
         # Check for balanced parentheses and valid operator placement
         open_parentheses = close_parentheses = 0
         for i, char in enumerate(expression):
-            if char == '(':
+            if char == "(":
                 open_parentheses += 1
-            elif char == ')':
+            elif char == ")":
                 close_parentheses += 1
             # Check for invalid operator sequences
             if char in "&|" and i + 1 < len(expression) and expression[i + 1] in "&|":
                 raise ValueError(
-                    "Invalid operator placement: operators cannot be adjacent.")
+                    "Invalid operator placement: operators cannot be adjacent."
+                )
 
         # Check for missing or balanced parentheses
         if open_parentheses != close_parentheses:
-            raise ValueError(
-                "Missing or unbalanced parentheses in expression.")
+            raise ValueError("Missing or unbalanced parentheses in expression.")
 
         # Helper function to evaluate an expression without parentheses
         def evaluate_simple_expression(exp: str) -> List[str]:
             """Evaluate an expression without parentheses."""
 
             # Split the expression by the OR operator and process each segment
-            for or_segment in exp.split('|'):
+            for or_segment in exp.split("|"):
 
                 # Check if all elements in an AND segment are in state
-                and_segment = or_segment.split('&')
+                and_segment = or_segment.split("&")
                 if all(elem.strip() in state for elem in and_segment):
-                    return [elem.strip() for elem in and_segment if elem.strip() in state]
+                    return [
+                        elem.strip() for elem in and_segment if elem.strip() in state
+                    ]
             return []
 
         # Helper function to evaluate expressions with parentheses
         def evaluate_expression(expression: str) -> List[str]:
             """Evaluate an expression with parentheses."""
-            
-            while '(' in expression:
-                start = expression.rfind('(')
-                end = expression.find(')', start)
-                sub_exp = expression[start + 1:end]
+
+            while "(" in expression:
+                start = expression.rfind("(")
+                end = expression.find(")", start)
+                sub_exp = expression[start + 1 : end]
 
                 # Replace the evaluated part with a placeholder and then evaluate it
                 sub_result = evaluate_simple_expression(sub_exp)
 
                 # For simplicity in handling, join sub-results with OR to reprocess them later
-                expression = expression[:start] + \
-                    '|'.join(sub_result) + expression[end+1:]
+                expression = (
+                    expression[:start] + "|".join(sub_result) + expression[end + 1 :]
+                )
             return evaluate_simple_expression(expression)
 
         result = evaluate_expression(expression)

From c251cc45d3694f8e81503e38a6d2b362452b740e Mon Sep 17 00:00:00 2001
From: Federico Minutoli <f.minutoli@reply.it>
Date: Fri, 24 May 2024 01:09:49 +0200
Subject: [PATCH 12/12] fix(node-logging): use centralized logger in each node
 for logging

---
 scrapegraphai/nodes/blocks_identifier.py      | 26 ++++++---
 scrapegraphai/nodes/fetch_node.py             | 53 +++++++++++-------
 .../nodes/generate_answer_csv_node.py         | 50 ++++++++++-------
 scrapegraphai/nodes/generate_answer_node.py   | 41 +++++++++-----
 .../nodes/generate_answer_omni_node.py        | 42 ++++++++------
 .../nodes/generate_answer_pdf_node.py         | 50 ++++++++++-------
 scrapegraphai/nodes/generate_scraper_node.py  | 36 ++++++++----
 scrapegraphai/nodes/get_probable_tags_node.py | 33 +++++++----
 scrapegraphai/nodes/graph_iterator_node.py    |  9 +--
 scrapegraphai/nodes/image_to_text_node.py     | 28 +++++-----
 scrapegraphai/nodes/merge_answers_node.py     | 25 ++++++---
 scrapegraphai/nodes/parse_node.py             | 35 ++++++++----
 scrapegraphai/nodes/rag_node.py               | 38 ++++++++-----
 scrapegraphai/nodes/robots_node.py            | 56 ++++++++++---------
 scrapegraphai/nodes/search_internet_node.py   | 29 ++++++----
 scrapegraphai/nodes/search_link_node.py       | 33 +++++++----
 .../nodes/search_node_with_context.py         | 42 +++++++++-----
 scrapegraphai/nodes/text_to_speech_node.py    | 22 +++++---
 18 files changed, 406 insertions(+), 242 deletions(-)

diff --git a/scrapegraphai/nodes/blocks_identifier.py b/scrapegraphai/nodes/blocks_identifier.py
index 70fd09a7..d06c9805 100644
--- a/scrapegraphai/nodes/blocks_identifier.py
+++ b/scrapegraphai/nodes/blocks_identifier.py
@@ -3,21 +3,22 @@
 """
 
 from typing import List, Optional
+
 from langchain_community.document_loaders import AsyncChromiumLoader
 from langchain_core.documents import Document
-from .base_node import BaseNode
 
+from .base_node import BaseNode
 
 
 class BlocksIndentifier(BaseNode):
     """
     A node responsible to identify the blocks in the HTML content of a specified HTML content
-    e.g products in a E-commerce, flights in a travel website etc. 
+    e.g products in a E-commerce, flights in a travel website etc.
 
     Attributes:
         headless (bool): A flag indicating whether the browser should run in headless mode.
         verbose (bool): A flag indicating whether to print verbose output during execution.
-    
+
     Args:
         input (str): Boolean expression defining the input keys needed from the state.
         output (List[str]): List of output keys to be updated in the state.
@@ -25,11 +26,21 @@ class BlocksIndentifier(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "BlocksIndentifier".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict], node_name: str = "BlocksIndentifier"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict],
+        node_name: str = "BlocksIndentifier",
+    ):
         super().__init__(node_name, "node", input, output, 1)
 
-        self.headless = True if node_config is None else node_config.get("headless", True)
-        self.verbose = True if node_config is None else node_config.get("verbose", False)
+        self.headless = (
+            True if node_config is None else node_config.get("headless", True)
+        )
+        self.verbose = (
+            True if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state):
         """
@@ -47,8 +58,7 @@ def execute(self, state):
             KeyError: If the input key is not found in the state, indicating that the
                     necessary information to perform the operation is missing.
         """
-        if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py
index 3ae62c3b..d3609e2e 100644
--- a/scrapegraphai/nodes/fetch_node.py
+++ b/scrapegraphai/nodes/fetch_node.py
@@ -3,17 +3,18 @@
 """
 
 import json
-import requests
 from typing import List, Optional
 
 import pandas as pd
+import requests
 from langchain_community.document_loaders import PyPDFLoader
 from langchain_core.documents import Document
 
 from ..docloaders import ChromiumLoader
-from .base_node import BaseNode
 from ..utils.cleanup_html import cleanup_html
 from ..utils.logging import get_logger
+from .base_node import BaseNode
+
 
 class FetchNode(BaseNode):
     """
@@ -51,7 +52,7 @@ def __init__(
             False if node_config is None else node_config.get("verbose", False)
         )
         self.useSoup = (
-          False if node_config is None else node_config.get("useSoup", False)
+            False if node_config is None else node_config.get("useSoup", False)
         )
         self.loader_kwargs = (
             {} if node_config is None else node_config.get("loader_kwargs", {})
@@ -73,8 +74,8 @@ def execute(self, state):
             KeyError: If the input key is not found in the state, indicating that the
                     necessary information to perform the operation is missing.
         """
-    
-        logger.info(f"--- Executing {self.node_name} Node ---")
+
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -92,7 +93,7 @@ def execute(self, state):
             ]
             state.update({self.output[0]: compressed_document})
             return state
-        
+
         # handling for pdf
         elif input_keys[0] == "pdf":
             loader = PyPDFLoader(source)
@@ -108,7 +109,7 @@ def execute(self, state):
             ]
             state.update({self.output[0]: compressed_document})
             return state
-        
+
         elif input_keys[0] == "json":
             f = open(source)
             compressed_document = [
@@ -116,7 +117,7 @@ def execute(self, state):
             ]
             state.update({self.output[0]: compressed_document})
             return state
-        
+
         elif input_keys[0] == "xml":
             with open(source, "r", encoding="utf-8") as f:
                 data = f.read()
@@ -125,25 +126,29 @@ def execute(self, state):
             ]
             state.update({self.output[0]: compressed_document})
             return state
-        
+
         elif self.input == "pdf_dir":
             pass
 
         elif not source.startswith("http"):
             title, minimized_body, link_urls, image_urls = cleanup_html(source, source)
             parsed_content = f"Title: {title}, Body: {minimized_body}, Links: {link_urls}, Images: {image_urls}"
-            compressed_document = [Document(page_content=parsed_content,
-                                            metadata={"source": "local_dir"}
-                                           )]
-        
+            compressed_document = [
+                Document(page_content=parsed_content, metadata={"source": "local_dir"})
+            ]
+
         elif self.useSoup:
             response = requests.get(source)
             if response.status_code == 200:
-                title, minimized_body, link_urls, image_urls = cleanup_html(response.text, source)
+                title, minimized_body, link_urls, image_urls = cleanup_html(
+                    response.text, source
+                )
                 parsed_content = f"Title: {title}, Body: {minimized_body}, Links: {link_urls}, Images: {image_urls}"
                 compressed_document = [Document(page_content=parsed_content)]
-            else:	
-                self.logger.warning(f"Failed to retrieve contents from the webpage at url: {source}")
+            else:
+                self.logger.warning(
+                    f"Failed to retrieve contents from the webpage at url: {source}"
+                )
 
         else:
             loader_kwargs = {}
@@ -153,14 +158,22 @@ def execute(self, state):
 
             loader = ChromiumLoader([source], headless=self.headless, **loader_kwargs)
             document = loader.load()
-            
-            title, minimized_body, link_urls, image_urls = cleanup_html(str(document[0].page_content), source)
+
+            title, minimized_body, link_urls, image_urls = cleanup_html(
+                str(document[0].page_content), source
+            )
             parsed_content = f"Title: {title}, Body: {minimized_body}, Links: {link_urls}, Images: {image_urls}"
-            
+
             compressed_document = [
                 Document(page_content=parsed_content, metadata={"source": source})
             ]
 
-        state.update({self.output[0]: compressed_document, self.output[1]: link_urls, self.output[2]: image_urls})
+        state.update(
+            {
+                self.output[0]: compressed_document,
+                self.output[1]: link_urls,
+                self.output[2]: image_urls,
+            }
+        )
 
         return state
diff --git a/scrapegraphai/nodes/generate_answer_csv_node.py b/scrapegraphai/nodes/generate_answer_csv_node.py
index cf32b411..7b5fbb14 100644
--- a/scrapegraphai/nodes/generate_answer_csv_node.py
+++ b/scrapegraphai/nodes/generate_answer_csv_node.py
@@ -2,14 +2,16 @@
 gg
 Module for generating the answer node
 """
+
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from tqdm import tqdm
+
 from ..utils.logging import get_logger
 
 # Imports from the library
@@ -25,15 +27,15 @@ class GenerateAnswerCSVNode(BaseNode):
 
     Attributes:
         llm_model: An instance of a language model client, configured for generating answers.
-        node_name (str): The unique identifier name for the node, defaulting 
+        node_name (str): The unique identifier name for the node, defaulting
         to "GenerateAnswerNodeCsv".
-        node_type (str): The type of the node, set to "node" indicating a 
+        node_type (str): The type of the node, set to "node" indicating a
         standard operational node.
 
     Args:
-        llm_model: An instance of the language model client (e.g., ChatOpenAI) used 
+        llm_model: An instance of the language model client (e.g., ChatOpenAI) used
         for generating answers.
-        node_name (str, optional): The unique identifier name for the node. 
+        node_name (str, optional): The unique identifier name for the node.
         Defaults to "GenerateAnswerNodeCsv".
 
     Methods:
@@ -41,8 +43,13 @@ class GenerateAnswerCSVNode(BaseNode):
                         updating the state with the generated answer under the 'answer' key.
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "GenerateAnswer"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateAnswer",
+    ):
         """
         Initializes the GenerateAnswerNodeCsv with a language model client and a node name.
         Args:
@@ -51,8 +58,9 @@ def __init__(self, input: str, output: List[str], node_config: Optional[dict] =
         """
         super().__init__(node_name, "node", input, output, 2, node_config)
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state):
         """
@@ -73,8 +81,7 @@ def execute(self, state):
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -122,21 +129,27 @@ def execute(self, state):
         chains_dict = {}
 
         # Use tqdm to add progress bar
-        for i, chunk in enumerate(tqdm(doc, desc="Processing chunks", disable=not self.verbose)):
+        for i, chunk in enumerate(
+            tqdm(doc, desc="Processing chunks", disable=not self.verbose)
+        ):
             if len(doc) == 1:
                 prompt = PromptTemplate(
                     template=template_no_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "format_instructions": format_instructions,
+                    },
                 )
             else:
                 prompt = PromptTemplate(
                     template=template_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "chunk_id": i + 1,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "chunk_id": i + 1,
+                        "format_instructions": format_instructions,
+                    },
                 )
 
             # Dynamically name the chains based on their index
@@ -155,8 +168,7 @@ def execute(self, state):
                 partial_variables={"format_instructions": format_instructions},
             )
             merge_chain = merge_prompt | self.llm_model | output_parser
-            answer = merge_chain.invoke(
-                {"context": answer, "question": user_prompt})
+            answer = merge_chain.invoke({"context": answer, "question": user_prompt})
         else:
             # Chain
             single_chain = list(chains_dict.values())[0]
diff --git a/scrapegraphai/nodes/generate_answer_node.py b/scrapegraphai/nodes/generate_answer_node.py
index 4cf81ae2..b853951e 100644
--- a/scrapegraphai/nodes/generate_answer_node.py
+++ b/scrapegraphai/nodes/generate_answer_node.py
@@ -4,12 +4,13 @@
 
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from tqdm import tqdm
+
 from ..utils.logging import get_logger
 
 # Imports from the library
@@ -34,13 +35,19 @@ class GenerateAnswerNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "GenerateAnswer"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateAnswer",
+    ):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = True if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            True if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -59,8 +66,7 @@ def execute(self, state: dict) -> dict:
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -108,21 +114,27 @@ def execute(self, state: dict) -> dict:
         chains_dict = {}
 
         # Use tqdm to add progress bar
-        for i, chunk in enumerate(tqdm(doc, desc="Processing chunks", disable=not self.verbose)):
+        for i, chunk in enumerate(
+            tqdm(doc, desc="Processing chunks", disable=not self.verbose)
+        ):
             if len(doc) == 1:
                 prompt = PromptTemplate(
                     template=template_no_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "format_instructions": format_instructions,
+                    },
                 )
             else:
                 prompt = PromptTemplate(
                     template=template_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "chunk_id": i + 1,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "chunk_id": i + 1,
+                        "format_instructions": format_instructions,
+                    },
                 )
 
             # Dynamically name the chains based on their index
@@ -141,8 +153,7 @@ def execute(self, state: dict) -> dict:
                 partial_variables={"format_instructions": format_instructions},
             )
             merge_chain = merge_prompt | self.llm_model | output_parser
-            answer = merge_chain.invoke(
-                {"context": answer, "question": user_prompt})
+            answer = merge_chain.invoke({"context": answer, "question": user_prompt})
         else:
             # Chain
             single_chain = list(chains_dict.values())[0]
diff --git a/scrapegraphai/nodes/generate_answer_omni_node.py b/scrapegraphai/nodes/generate_answer_omni_node.py
index fc2e8786..1cdd2042 100644
--- a/scrapegraphai/nodes/generate_answer_omni_node.py
+++ b/scrapegraphai/nodes/generate_answer_omni_node.py
@@ -4,12 +4,12 @@
 
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from tqdm import tqdm
 
 # Imports from the library
 from .base_node import BaseNode
@@ -33,13 +33,19 @@ class GenerateAnswerOmniNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "GenerateAnswerOmni"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateAnswerOmni",
+    ):
         super().__init__(node_name, "node", input, output, 3, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -58,8 +64,7 @@ def execute(self, state: dict) -> dict:
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -112,22 +117,28 @@ def execute(self, state: dict) -> dict:
         chains_dict = {}
 
         # Use tqdm to add progress bar
-        for i, chunk in enumerate(tqdm(doc, desc="Processing chunks", disable=not self.verbose)):
+        for i, chunk in enumerate(
+            tqdm(doc, desc="Processing chunks", disable=not self.verbose)
+        ):
             if len(doc) == 1:
                 prompt = PromptTemplate(
                     template=template_no_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "format_instructions": format_instructions,
-                                        "img_desc": imag_desc},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "format_instructions": format_instructions,
+                        "img_desc": imag_desc,
+                    },
                 )
             else:
                 prompt = PromptTemplate(
                     template=template_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "chunk_id": i + 1,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "chunk_id": i + 1,
+                        "format_instructions": format_instructions,
+                    },
                 )
 
             # Dynamically name the chains based on their index
@@ -149,8 +160,7 @@ def execute(self, state: dict) -> dict:
                 },
             )
             merge_chain = merge_prompt | self.llm_model | output_parser
-            answer = merge_chain.invoke(
-                {"context": answer, "question": user_prompt})
+            answer = merge_chain.invoke({"context": answer, "question": user_prompt})
         else:
             # Chain
             single_chain = list(chains_dict.values())[0]
diff --git a/scrapegraphai/nodes/generate_answer_pdf_node.py b/scrapegraphai/nodes/generate_answer_pdf_node.py
index 1e7e0edf..ec5ef080 100644
--- a/scrapegraphai/nodes/generate_answer_pdf_node.py
+++ b/scrapegraphai/nodes/generate_answer_pdf_node.py
@@ -1,14 +1,16 @@
 """
 Module for generating the answer node
 """
+
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from tqdm import tqdm
+
 from ..utils.logging import get_logger
 
 # Imports from the library
@@ -24,15 +26,15 @@ class GenerateAnswerPDFNode(BaseNode):
 
     Attributes:
         llm: An instance of a language model client, configured for generating answers.
-        node_name (str): The unique identifier name for the node, defaulting 
+        node_name (str): The unique identifier name for the node, defaulting
         to "GenerateAnswerNodePDF".
-        node_type (str): The type of the node, set to "node" indicating a 
+        node_type (str): The type of the node, set to "node" indicating a
         standard operational node.
 
     Args:
-        llm: An instance of the language model client (e.g., ChatOpenAI) used 
+        llm: An instance of the language model client (e.g., ChatOpenAI) used
         for generating answers.
-        node_name (str, optional): The unique identifier name for the node. 
+        node_name (str, optional): The unique identifier name for the node.
         Defaults to "GenerateAnswerNodePDF".
 
     Methods:
@@ -40,8 +42,13 @@ class GenerateAnswerPDFNode(BaseNode):
                         updating the state with the generated answer under the 'answer' key.
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "GenerateAnswer"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateAnswer",
+    ):
         """
         Initializes the GenerateAnswerNodePDF with a language model client and a node name.
         Args:
@@ -50,8 +57,9 @@ def __init__(self, input: str, output: List[str], node_config: Optional[dict] =
         """
         super().__init__(node_name, "node", input, output, 2, node_config)
         self.llm_model = node_config["llm"]
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state):
         """
@@ -72,8 +80,7 @@ def execute(self, state):
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -121,21 +128,27 @@ def execute(self, state):
         chains_dict = {}
 
         # Use tqdm to add progress bar
-        for i, chunk in enumerate(tqdm(doc, desc="Processing chunks", disable=not self.verbose)):
+        for i, chunk in enumerate(
+            tqdm(doc, desc="Processing chunks", disable=not self.verbose)
+        ):
             if len(doc) == 1:
                 prompt = PromptTemplate(
                     template=template_no_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "format_instructions": format_instructions,
+                    },
                 )
             else:
                 prompt = PromptTemplate(
                     template=template_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "chunk_id": i + 1,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "chunk_id": i + 1,
+                        "format_instructions": format_instructions,
+                    },
                 )
 
             # Dynamically name the chains based on their index
@@ -154,8 +167,7 @@ def execute(self, state):
                 partial_variables={"format_instructions": format_instructions},
             )
             merge_chain = merge_prompt | self.llm_model | output_parser
-            answer = merge_chain.invoke(
-                {"context": answer, "question": user_prompt})
+            answer = merge_chain.invoke({"context": answer, "question": user_prompt})
         else:
             # Chain
             single_chain = list(chains_dict.values())[0]
diff --git a/scrapegraphai/nodes/generate_scraper_node.py b/scrapegraphai/nodes/generate_scraper_node.py
index d35db233..0c64b64a 100644
--- a/scrapegraphai/nodes/generate_scraper_node.py
+++ b/scrapegraphai/nodes/generate_scraper_node.py
@@ -4,12 +4,13 @@
 
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.runnables import RunnableParallel
+from tqdm import tqdm
+
 from ..utils.logging import get_logger
 
 # Imports from the library
@@ -37,15 +38,24 @@ class GenerateScraperNode(BaseNode):
 
     """
 
-    def __init__(self, input: str, output: List[str], library: str, website: str, 
-                 node_config: Optional[dict]=None, node_name: str = "GenerateScraper"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        library: str,
+        website: str,
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateScraper",
+    ):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
         self.llm_model = node_config["llm_model"]
         self.library = library
         self.source = website
-        
-        self.verbose = False if node_config is None else node_config.get("verbose", False)
+
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -63,8 +73,7 @@ def execute(self, state: dict) -> dict:
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -93,17 +102,20 @@ def execute(self, state: dict) -> dict:
         """
         print("source:", self.source)
         if len(doc) > 1:
-            raise NotImplementedError("Currently GenerateScraperNode cannot handle more than 1 context chunks")
+            raise NotImplementedError(
+                "Currently GenerateScraperNode cannot handle more than 1 context chunks"
+            )
         else:
             template = template_no_chunks
 
         prompt = PromptTemplate(
             template=template,
             input_variables=["question"],
-            partial_variables={"context": doc[0],
-                               "library": self.library,
-                               "source": self.source
-                               },
+            partial_variables={
+                "context": doc[0],
+                "library": self.library,
+                "source": self.source,
+            },
         )
         map_chain = prompt | self.llm_model | output_parser
 
diff --git a/scrapegraphai/nodes/get_probable_tags_node.py b/scrapegraphai/nodes/get_probable_tags_node.py
index 39b437a5..a26ded38 100644
--- a/scrapegraphai/nodes/get_probable_tags_node.py
+++ b/scrapegraphai/nodes/get_probable_tags_node.py
@@ -3,16 +3,19 @@
 """
 
 from typing import List, Optional
+
 from langchain.output_parsers import CommaSeparatedListOutputParser
 from langchain.prompts import PromptTemplate
-from .base_node import BaseNode
+
 from ..utils.logging import get_logger
+from .base_node import BaseNode
+
 
 class GetProbableTagsNode(BaseNode):
     """
-    A node that utilizes a language model to identify probable HTML tags within a document that 
+    A node that utilizes a language model to identify probable HTML tags within a document that
     are likely to contain the information relevant to a user's query. This node generates a prompt
-    describing the task, submits it to the language model, and processes the output to produce a 
+    describing the task, submits it to the language model, and processes the output to produce a
     list of probable tags.
 
     Attributes:
@@ -25,17 +28,24 @@ class GetProbableTagsNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GetProbableTags".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: dict,
-                 node_name: str = "GetProbableTags"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: dict,
+        node_name: str = "GetProbableTags",
+    ):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get("verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
-        Generates a list of probable HTML tags based on the user's input and updates the state 
-        with this list. The method constructs a prompt for the language model, submits it, and 
+        Generates a list of probable HTML tags based on the user's input and updates the state
+        with this list. The method constructs a prompt for the language model, submits it, and
         parses the output to identify probable tags.
 
         Args:
@@ -50,8 +60,7 @@ def execute(self, state: dict) -> dict:
                       necessary information for generating tag predictions is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -78,7 +87,9 @@ def execute(self, state: dict) -> dict:
             template=template,
             input_variables=["question"],
             partial_variables={
-                "format_instructions": format_instructions, "webpage": url},
+                "format_instructions": format_instructions,
+                "webpage": url,
+            },
         )
 
         # Execute the chain to get probable tags
diff --git a/scrapegraphai/nodes/graph_iterator_node.py b/scrapegraphai/nodes/graph_iterator_node.py
index 063466a9..cd932986 100644
--- a/scrapegraphai/nodes/graph_iterator_node.py
+++ b/scrapegraphai/nodes/graph_iterator_node.py
@@ -5,9 +5,10 @@
 import asyncio
 import copy
 from typing import List, Optional
-from ..utils.logging import get_logger
+
 from tqdm.asyncio import tqdm
 
+from ..utils.logging import get_logger
 from .base_node import BaseNode
 
 
@@ -59,9 +60,9 @@ def execute(self, state: dict) -> dict:
         """
         batchsize = self.node_config.get("batchsize", _default_batchsize)
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node with batchsize {batchsize} ---")
-
+        self.logger.info(
+            f"--- Executing {self.node_name} Node with batchsize {batchsize} ---"
+        )
 
         try:
             eventloop = asyncio.get_event_loop()
diff --git a/scrapegraphai/nodes/image_to_text_node.py b/scrapegraphai/nodes/image_to_text_node.py
index 035d6b07..7e7507a9 100644
--- a/scrapegraphai/nodes/image_to_text_node.py
+++ b/scrapegraphai/nodes/image_to_text_node.py
@@ -3,8 +3,9 @@
 """
 
 from typing import List, Optional
-from .base_node import BaseNode
+
 from ..utils.logging import get_logger
+from .base_node import BaseNode
 
 
 class ImageToTextNode(BaseNode):
@@ -23,16 +24,18 @@ class ImageToTextNode(BaseNode):
     """
 
     def __init__(
-            self,
-            input: str,
-            output: List[str],
-            node_config: Optional[dict]=None,
-            node_name: str = "ImageToText",
-        ):
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "ImageToText",
+    ):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get("verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
         self.max_images = 5 if node_config is None else node_config.get("max_images", 5)
 
     def execute(self, state: dict) -> dict:
@@ -48,9 +51,8 @@ def execute(self, state: dict) -> dict:
             dict: The updated state with the input key containing the text extracted from the image.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
-            
+        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]
         urls = input_data[0]
@@ -63,9 +65,9 @@ def execute(self, state: dict) -> dict:
         # Skip the image-to-text conversion
         if self.max_images < 1:
             return state
-        
+
         img_desc = []
-        for url in urls[:self.max_images]:
+        for url in urls[: self.max_images]:
             try:
                 text_answer = self.llm_model.run(url)
             except Exception as e:
diff --git a/scrapegraphai/nodes/merge_answers_node.py b/scrapegraphai/nodes/merge_answers_node.py
index dbd5cde9..f64c3a9c 100644
--- a/scrapegraphai/nodes/merge_answers_node.py
+++ b/scrapegraphai/nodes/merge_answers_node.py
@@ -4,11 +4,13 @@
 
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
-from ..utils.logging import get_logger
+
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
+from tqdm import tqdm
+
+from ..utils.logging import get_logger
 
 # Imports from the library
 from .base_node import BaseNode
@@ -29,17 +31,23 @@ class MergeAnswersNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "MergeAnswers"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "MergeAnswers",
+    ):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
-        Executes the node's logic to merge the answers from multiple graph instances into a 
+        Executes the node's logic to merge the answers from multiple graph instances into a
         single answer.
 
         Args:
@@ -54,8 +62,7 @@ def execute(self, state: dict) -> dict:
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            self.ogger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
diff --git a/scrapegraphai/nodes/parse_node.py b/scrapegraphai/nodes/parse_node.py
index dc8cd272..77074d65 100644
--- a/scrapegraphai/nodes/parse_node.py
+++ b/scrapegraphai/nodes/parse_node.py
@@ -3,17 +3,20 @@
 """
 
 from typing import List, Optional
+
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.document_transformers import Html2TextTransformer
-from .base_node import BaseNode
+
 from ..utils.logging import get_logger
+from .base_node import BaseNode
+
 
 class ParseNode(BaseNode):
     """
-    A node responsible for parsing HTML content from a document. 
+    A node responsible for parsing HTML content from a document.
     The parsed content is split into chunks for further processing.
 
-    This node enhances the scraping workflow by allowing for targeted extraction of 
+    This node enhances the scraping workflow by allowing for targeted extraction of
     content, thereby optimizing the processing of large HTML documents.
 
     Attributes:
@@ -26,13 +29,23 @@ class ParseNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "Parse".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict]=None, node_name: str = "Parse"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "Parse",
+    ):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
-        self.verbose = False if node_config is None else node_config.get("verbose", False)
-        self.parse_html = True if node_config is None else node_config.get("parse_html", True)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
+        self.parse_html = (
+            True if node_config is None else node_config.get("parse_html", True)
+        )
 
-    def execute(self,  state: dict) -> dict:
+    def execute(self, state: dict) -> dict:
         """
         Executes the node's logic to parse the HTML document content and split it into chunks.
 
@@ -48,8 +61,7 @@ def execute(self,  state: dict) -> dict:
                         necessary information for parsing the content is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -65,12 +77,11 @@ def execute(self,  state: dict) -> dict:
         # Parse the document
         docs_transformed = input_data[0]
         if self.parse_html:
-            docs_transformed = Html2TextTransformer(
-            ).transform_documents(input_data[0])
+            docs_transformed = Html2TextTransformer().transform_documents(input_data[0])
         docs_transformed = docs_transformed[0]
 
         chunks = text_splitter.split_text(docs_transformed.page_content)
-    
+
         state.update({self.output[0]: chunks})
 
         return state
diff --git a/scrapegraphai/nodes/rag_node.py b/scrapegraphai/nodes/rag_node.py
index dae666cf..6d26bd1c 100644
--- a/scrapegraphai/nodes/rag_node.py
+++ b/scrapegraphai/nodes/rag_node.py
@@ -3,13 +3,17 @@
 """
 
 from typing import List, Optional
+
 from langchain.docstore.document import Document
 from langchain.retrievers import ContextualCompressionRetriever
-from langchain.retrievers.document_compressors import EmbeddingsFilter, DocumentCompressorPipeline
+from langchain.retrievers.document_compressors import (
+    DocumentCompressorPipeline,
+    EmbeddingsFilter,
+)
 from langchain_community.document_transformers import EmbeddingsRedundantFilter
 from langchain_community.vectorstores import FAISS
-from ..utils.logging import get_logger
 
+from ..utils.logging import get_logger
 from .base_node import BaseNode
 
 
@@ -32,13 +36,20 @@ class RAGNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "Parse".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict]=None, node_name: str = "RAG"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "RAG",
+    ):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
         self.llm_model = node_config["llm_model"]
         self.embedder_model = node_config.get("embedder_model", None)
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -57,8 +68,7 @@ def execute(self, state: dict) -> dict:
                         necessary information for compressing the content is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -80,15 +90,15 @@ def execute(self, state: dict) -> dict:
             )
             chunked_docs.append(doc)
 
-        if self.verbose:
-           self.logger.info("--- (updated chunks metadata) ---")
+        self.logger.info("--- (updated chunks metadata) ---")
 
         # check if embedder_model is provided, if not use llm_model
-        self.embedder_model = self.embedder_model if self.embedder_model else self.llm_model
+        self.embedder_model = (
+            self.embedder_model if self.embedder_model else self.llm_model
+        )
         embeddings = self.embedder_model
 
-        retriever = FAISS.from_documents(
-            chunked_docs, embeddings).as_retriever()
+        retriever = FAISS.from_documents(chunked_docs, embeddings).as_retriever()
 
         redundant_filter = EmbeddingsRedundantFilter(embeddings=embeddings)
         # similarity_threshold could be set, now k=20
@@ -108,9 +118,7 @@ def execute(self, state: dict) -> dict:
 
         compressed_docs = compression_retriever.invoke(user_prompt)
 
-        if self.verbose:
-            self.logger.info("--- (tokens compressed and vector stored) ---")
+        self.logger.info("--- (tokens compressed and vector stored) ---")
 
         state.update({self.output[0]: compressed_docs})
         return state
-
diff --git a/scrapegraphai/nodes/robots_node.py b/scrapegraphai/nodes/robots_node.py
index d5bb2998..e5240d42 100644
--- a/scrapegraphai/nodes/robots_node.py
+++ b/scrapegraphai/nodes/robots_node.py
@@ -4,12 +4,15 @@
 
 from typing import List, Optional
 from urllib.parse import urlparse
-from langchain_community.document_loaders import AsyncChromiumLoader
-from langchain.prompts import PromptTemplate
+
 from langchain.output_parsers import CommaSeparatedListOutputParser
-from .base_node import BaseNode
+from langchain.prompts import PromptTemplate
+from langchain_community.document_loaders import AsyncChromiumLoader
+
 from ..helpers import robots_dictionary
 from ..utils.logging import get_logger
+from .base_node import BaseNode
+
 
 class RobotsNode(BaseNode):
     """
@@ -34,16 +37,21 @@ class RobotsNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "Robots".
     """
 
-    def __init__(self, input: str, output: List[str],  node_config: Optional[dict]=None,
-
-                 node_name: str = "Robots"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "Robots",
+    ):
         super().__init__(node_name, "node", input, output, 1)
 
         self.llm_model = node_config["llm_model"]
 
         self.force_scraping = force_scraping
-        self.verbose = True if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            True if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -65,8 +73,7 @@ def execute(self, state: dict) -> dict:
                         scraping is not enforced.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -91,8 +98,7 @@ def execute(self, state: dict) -> dict:
             """
 
         if not source.startswith("http"):
-            raise ValueError(
-                "Operation not allowed")
+            raise ValueError("Operation not allowed")
 
         else:
             parsed_url = urlparse(source)
@@ -100,7 +106,9 @@ def execute(self, state: dict) -> dict:
             loader = AsyncChromiumLoader(f"{base_url}/robots.txt")
             document = loader.load()
             if "ollama" in self.llm_model["model_name"]:
-                self.llm_model["model_name"] = self.llm_model["model_name"].split("/")[-1]
+                self.llm_model["model_name"] = self.llm_model["model_name"].split("/")[
+                    -1
+                ]
                 model = self.llm_model["model_name"].split("/")[-1]
 
             else:
@@ -114,27 +122,25 @@ def execute(self, state: dict) -> dict:
             prompt = PromptTemplate(
                 template=template,
                 input_variables=["path"],
-                partial_variables={"context": document,
-                                   "agent": agent
-                                   },
+                partial_variables={"context": document, "agent": agent},
             )
 
             chain = prompt | self.llm_model | output_parser
             is_scrapable = chain.invoke({"path": source})[0]
 
             if "no" in is_scrapable:
-                if self.verbose:
-                    self.logger.warning("\033[31m(Scraping this website is not allowed)\033[0m")
-                    
+                self.logger.warning(
+                    "\033[31m(Scraping this website is not allowed)\033[0m"
+                )
+
                 if not self.force_scraping:
-                    raise ValueError(
-                        'The website you selected is not scrapable')
+                    raise ValueError("The website you selected is not scrapable")
                 else:
-                    if self.verbose:
-                        self.logger.warning("\033[33m(WARNING: Scraping this website is not allowed but you decided to force it)\033[0m")
+                    self.logger.warning(
+                        "\033[33m(WARNING: Scraping this website is not allowed but you decided to force it)\033[0m"
+                    )
             else:
-                if self.verbose:
-                    self.logger.warning("\033[32m(Scraping this website is allowed)\033[0m")
+                self.logger.warning("\033[32m(Scraping this website is allowed)\033[0m")
 
         state.update({self.output[0]: is_scrapable})
         return state
diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py
index 9611407d..9fa4a8f5 100644
--- a/scrapegraphai/nodes/search_internet_node.py
+++ b/scrapegraphai/nodes/search_internet_node.py
@@ -3,11 +3,14 @@
 """
 
 from typing import List, Optional
+
 from langchain.output_parsers import CommaSeparatedListOutputParser
 from langchain.prompts import PromptTemplate
+
+from ..utils.logging import get_logger
 from ..utils.research_web import search_on_web
 from .base_node import BaseNode
-from ..utils.logging import get_logger
+
 
 class SearchInternetNode(BaseNode):
     """
@@ -27,13 +30,19 @@ class SearchInternetNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "SearchInternet".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "SearchInternet"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "SearchInternet",
+    ):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
         self.max_results = node_config.get("max_results", 3)
 
     def execute(self, state: dict) -> dict:
@@ -55,8 +64,7 @@ def execute(self, state: dict) -> dict:
                         necessary information for generating the answer is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         input_keys = self.get_input_keys(state)
 
@@ -87,12 +95,9 @@ def execute(self, state: dict) -> dict:
         search_answer = search_prompt | self.llm_model | output_parser
         search_query = search_answer.invoke({"user_prompt": user_prompt})[0]
 
-        if self.verbose:
-            self.logger.info(f"Search Query: {search_query}")
-
+        self.logger.info(f"Search Query: {search_query}")
 
-        answer = search_on_web(
-            query=search_query, max_results=self.max_results)
+        answer = search_on_web(query=search_query, max_results=self.max_results)
 
         if len(answer) == 0:
             # raise an exception if no answer is found
diff --git a/scrapegraphai/nodes/search_link_node.py b/scrapegraphai/nodes/search_link_node.py
index c389264a..b19095a0 100644
--- a/scrapegraphai/nodes/search_link_node.py
+++ b/scrapegraphai/nodes/search_link_node.py
@@ -4,13 +4,14 @@
 
 # Imports from standard library
 from typing import List, Optional
-from tqdm import tqdm
-from ..utils.logging import get_logger
 
 # Imports from Langchain
 from langchain.prompts import PromptTemplate
 from langchain_core.output_parsers import JsonOutputParser
 from langchain_core.runnables import RunnableParallel
+from tqdm import tqdm
+
+from ..utils.logging import get_logger
 
 # Imports from the library
 from .base_node import BaseNode
@@ -33,13 +34,19 @@ class SearchLinkNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "GenerateLinks"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateLinks",
+    ):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
         self.llm_model = node_config["llm_model"]
-        self.verbose = False if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -58,8 +65,7 @@ def execute(self, state: dict) -> dict:
                         necessary information for generating the answer is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -93,7 +99,13 @@ def execute(self, state: dict) -> dict:
             """
         relevant_links = []
 
-        for i, chunk in enumerate(tqdm(parsed_content_chunks, desc="Processing chunks", disable=not self.verbose)):
+        for i, chunk in enumerate(
+            tqdm(
+                parsed_content_chunks,
+                desc="Processing chunks",
+                disable=not self.verbose,
+            )
+        ):
             merge_prompt = PromptTemplate(
                 template=prompt_relevant_links,
                 input_variables=["content", "user_prompt"],
@@ -101,7 +113,8 @@ def execute(self, state: dict) -> dict:
             merge_chain = merge_prompt | self.llm_model | output_parser
             # merge_chain = merge_prompt | self.llm_model
             answer = merge_chain.invoke(
-                {"content": chunk.page_content, "user_prompt": user_prompt})
+                {"content": chunk.page_content, "user_prompt": user_prompt}
+            )
             relevant_links += answer
         state.update({self.output[0]: relevant_links})
         return state
diff --git a/scrapegraphai/nodes/search_node_with_context.py b/scrapegraphai/nodes/search_node_with_context.py
index 17437f6f..62de184a 100644
--- a/scrapegraphai/nodes/search_node_with_context.py
+++ b/scrapegraphai/nodes/search_node_with_context.py
@@ -3,9 +3,11 @@
 """
 
 from typing import List, Optional
-from tqdm import tqdm
+
 from langchain.output_parsers import CommaSeparatedListOutputParser
 from langchain.prompts import PromptTemplate
+from tqdm import tqdm
+
 from .base_node import BaseNode
 
 
@@ -27,12 +29,18 @@ class SearchLinksWithContext(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict] = None,
-                 node_name: str = "GenerateAnswer"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "GenerateAnswer",
+    ):
         super().__init__(node_name, "node", input, output, 2, node_config)
         self.llm_model = node_config["llm_model"]
-        self.verbose = True if node_config is None else node_config.get(
-            "verbose", False)
+        self.verbose = (
+            True if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -51,8 +59,7 @@ def execute(self, state: dict) -> dict:
                       that the necessary information for generating an answer is missing.
         """
 
-        if self.verbose:
-            print(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)
@@ -90,25 +97,30 @@ def execute(self, state: dict) -> dict:
         result = []
 
         # Use tqdm to add progress bar
-        for i, chunk in enumerate(tqdm(doc, desc="Processing chunks", disable=not self.verbose)):
+        for i, chunk in enumerate(
+            tqdm(doc, desc="Processing chunks", disable=not self.verbose)
+        ):
             if len(doc) == 1:
                 prompt = PromptTemplate(
                     template=template_no_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "format_instructions": format_instructions,
+                    },
                 )
             else:
                 prompt = PromptTemplate(
                     template=template_chunks,
                     input_variables=["question"],
-                    partial_variables={"context": chunk.page_content,
-                                       "chunk_id": i + 1,
-                                       "format_instructions": format_instructions},
+                    partial_variables={
+                        "context": chunk.page_content,
+                        "chunk_id": i + 1,
+                        "format_instructions": format_instructions,
+                    },
                 )
 
-            result.extend(
-                prompt | self.llm_model | output_parser)
+            result.extend(prompt | self.llm_model | output_parser)
 
         state["urls"] = result
         return state
diff --git a/scrapegraphai/nodes/text_to_speech_node.py b/scrapegraphai/nodes/text_to_speech_node.py
index 497b2501..59e3fb8b 100644
--- a/scrapegraphai/nodes/text_to_speech_node.py
+++ b/scrapegraphai/nodes/text_to_speech_node.py
@@ -3,8 +3,10 @@
 """
 
 from typing import List, Optional
-from .base_node import BaseNode
+
 from ..utils.logging import get_logger
+from .base_node import BaseNode
+
 
 class TextToSpeechNode(BaseNode):
     """
@@ -21,12 +23,19 @@ class TextToSpeechNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "TextToSpeech".
     """
 
-    def __init__(self, input: str, output: List[str],
-                 node_config: Optional[dict]=None, node_name: str = "TextToSpeech"):
+    def __init__(
+        self,
+        input: str,
+        output: List[str],
+        node_config: Optional[dict] = None,
+        node_name: str = "TextToSpeech",
+    ):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
         self.tts_model = node_config["tts_model"]
-        self.verbose = False if node_config is None else node_config.get("verbose", False)
+        self.verbose = (
+            False if node_config is None else node_config.get("verbose", False)
+        )
 
     def execute(self, state: dict) -> dict:
         """
@@ -35,7 +44,7 @@ def execute(self, state: dict) -> dict:
         Args:
             state (dict): The current state of the graph. The input keys will be used to fetch the
                             correct data types from the state.
-                            
+
         Returns:
             dict: The updated state with the output key containing the audio generated from the text.
 
@@ -44,8 +53,7 @@ def execute(self, state: dict) -> dict:
                         necessary information for generating the audio is missing.
         """
 
-        if self.verbose:
-            self.logger.info(f"--- Executing {self.node_name} Node ---")
+        self.logger.info(f"--- Executing {self.node_name} Node ---")
 
         # Interpret input keys based on the provided input expression
         input_keys = self.get_input_keys(state)