From 97d0a6887f3948115e2831d8be90aa0ff8d8ba60 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Wed, 27 Mar 2024 21:22:04 +0100 Subject: [PATCH 01/12] add reserch web function --- scrapegraphai/utils/research_web.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 scrapegraphai/utils/research_web.py diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py new file mode 100644 index 00000000..35e71b54 --- /dev/null +++ b/scrapegraphai/utils/research_web.py @@ -0,0 +1,28 @@ +""" +Module for making the request on the web +""" +import requests + + +def search_word_on_google(word): + """ + Function that given a word it finds it on the intenet + """ + url = f"https://www.google.com/search?q={word}" + headers = { + 'User-Agent': """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ( + KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3""" + } + + response = requests.get(url, headers=headers) + + if response.status_code == 200: + print("Search request successful!") + # You can parse the HTML response using BeautifulSoup or other libraries + print("Response content:") + print(response.text) + else: + print( + f"Failed to make search request. Status code: {response.status_code}") + +# Example usage From 672e9a5191f60d7683d1c3fe50905c6979820948 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Wed, 27 Mar 2024 21:29:10 +0100 Subject: [PATCH 02/12] refactoring of research function --- scrapegraphai/utils/research_web.py | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index 35e71b54..d404f5c7 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -10,11 +10,16 @@ def search_word_on_google(word): """ url = f"https://www.google.com/search?q={word}" headers = { - 'User-Agent': """Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ( - KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3""" + 'User-Agent': """ Mozilla/5.0 (Windows NT 10.0; Win64; x64) A + ppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3""" } - response = requests.get(url, headers=headers) + try: + response = requests.get(url, headers=headers, timeout=10) + response.raise_for_status() # Raise an exception for 4xx or 5xx status codes + except requests.RequestException as e: + print(f"Error occurred: {e}") + return if response.status_code == 200: print("Search request successful!") @@ -24,5 +29,3 @@ def search_word_on_google(word): else: print( f"Failed to make search request. Status code: {response.status_code}") - -# Example usage From fff1f9ee518222a108a1f0cdd890648b82148e5f Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 28 Mar 2024 12:41:45 +0100 Subject: [PATCH 03/12] new function for searching --- scrapegraphai/utils/research_web.py | 32 ++++++++++------------------- 1 file changed, 11 insertions(+), 21 deletions(-) diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index d404f5c7..a4bce5f5 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -1,31 +1,21 @@ """ Module for making the request on the web """ -import requests +import re +from langchain_community.tools import DuckDuckGoSearchResults -def search_word_on_google(word): +def search_word_on_google(word, max_results=10): """ Function that given a word it finds it on the intenet + Args: + word (str): word to search on internet + max_results (int): maximum number of results """ - url = f"https://www.google.com/search?q={word}" - headers = { - 'User-Agent': """ Mozilla/5.0 (Windows NT 10.0; Win64; x64) A - ppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3""" - } - try: - response = requests.get(url, headers=headers, timeout=10) - response.raise_for_status() # Raise an exception for 4xx or 5xx status codes - except requests.RequestException as e: - print(f"Error occurred: {e}") - return + search = DuckDuckGoSearchResults(max_results=max_results) + res = search.run(word) - if response.status_code == 200: - print("Search request successful!") - # You can parse the HTML response using BeautifulSoup or other libraries - print("Response content:") - print(response.text) - else: - print( - f"Failed to make search request. Status code: {response.status_code}") + links = re.findall(r'https?://\S+', res) + + return links From b8a3590235b8fe6c79c0c4d2e79d882ba23abe99 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 28 Mar 2024 13:14:39 +0100 Subject: [PATCH 04/12] add SearcInetnetNode --- scrapegraphai/nodes/search_internet_node.py | 82 +++++++++++++++++++++ scrapegraphai/utils/research_web.py | 2 +- 2 files changed, 83 insertions(+), 1 deletion(-) create mode 100644 scrapegraphai/nodes/search_internet_node.py diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py new file mode 100644 index 00000000..7b7a9b8e --- /dev/null +++ b/scrapegraphai/nodes/search_internet_node.py @@ -0,0 +1,82 @@ +""" +Module for generating the answer node +""" +from typing import List +from ..utils.research_web import search_word_on_web +from .base_node import BaseNode + + +class SearchInternetNode(BaseNode): + """ + A node that generates an answer by querying a language model (LLM) based on the user's input + and the content extracted from a webpage. It constructs a prompt from the user's input + and the scraped content, feeds it to the LLM, and parses the LLM's response to produce + an answer. + + Attributes: + node_name (str): The unique identifier name for the node. + node_type (str): The type of the node, set to "node" indicating a standard operational node. + input (str): The user input used to construct the prompt. + output (List[str]): The keys in the state dictionary + where the generated answer will be stored. + model_config (dict): Configuration parameters for the language model client. + + Args: + input (str): The user input used to construct the prompt. + output (List[str]): The keys in the state dictionary where the + generated answer will be stored. + model_config (dict): Configuration parameters for the language model client. + node_name (str, optional): The unique identifier name for the node. + Defaults to "GenerateAnswer". + + Methods: + execute(state): Processes the input and document from the state to generate an answer, + updating the state with the generated answer under the 'answer' key. + """ + + def __init__(self, input: str, output: List[str], model_config: dict, + node_name: str = "SearchInternet"): + """ + Initializes the SearchInternetNode with input, output, model configuration, and a node name. + Args: + input (str): The user input used to construct the prompt. + output (List[str]): The keys in the state dictionary where the + generated answer will be stored. + model_config (dict): Configuration parameters for the language model client. + node_name (str): The unique identifier name for the node. + """ + super().__init__(node_name, "node", input, output, 1, model_config) + + def execute(self, state): + """ + Generates an answer by constructing a prompt from the user's input and the scraped + content, querying the language model, and parsing its response. + + The method updates the state with the generated answer under the 'answer' key. + + Args: + state (dict): The current state of the graph, expected to contain 'user_input', + and optionally 'parsed_document' or 'relevant_chunks' within 'keys'. + + Returns: + dict: The updated state with the 'answer' key containing the generated answer. + + Raises: + KeyError: If 'user_input' or 'document' is not found in the state, indicating + that the necessary information for generating an answer is missing. + """ + + print(f"--- Executing {self.node_name} Node ---") + + input_keys = self.get_input_keys(state) + + # Fetching data from the state based on the input keys + input_data = [state[key] for key in input_keys] + + user_prompt = input_data[0] + + answer = search_word_on_web(user_prompt) + + # Update the state with the generated answer + state.update({self.output[0]: answer}) + return state diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index a4bce5f5..dfb7659a 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -5,7 +5,7 @@ import re from langchain_community.tools import DuckDuckGoSearchResults -def search_word_on_google(word, max_results=10): +def search_word_on_web(word, max_results=10): """ Function that given a word it finds it on the intenet Args: From 7d0fd74bfc26c6d5a25f8d539f3f24ab0bf6acf0 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 28 Mar 2024 16:54:01 +0100 Subject: [PATCH 05/12] add search graph --- scrapegraphai/graphs/search_graph.py | 106 +++++++++++++++++++++++++++ 1 file changed, 106 insertions(+) create mode 100644 scrapegraphai/graphs/search_graph.py diff --git a/scrapegraphai/graphs/search_graph.py b/scrapegraphai/graphs/search_graph.py new file mode 100644 index 00000000..d346678b --- /dev/null +++ b/scrapegraphai/graphs/search_graph.py @@ -0,0 +1,106 @@ +""" +Module for creating the search graph +""" +from ..models import OpenAI, Gemini +from .base_graph import BaseGraph +from ..nodes import ( + FetchNode, + ParseNode, + RAGNode, + GenerateAnswerNode +) +from ..nodes.search_internet_node import SearchInternetNode + + +class SearchGraph: + """ + Module for searching info on the internet + """ + + def __init__(self, prompt: str, file_source: str, config: dict): + """ + Initializes SmartScraper with a prompt, URL, and language model configuration. + """ + self.prompt = prompt + self.file_source = file_source + self.input_key = "url" if file_source.startswith( + "http") else "local_dir" + self.config = config + self.llm_model = self._create_llm(config["llm"]) + self.graph = self._create_graph() + + def _create_llm(self, llm_config: dict): + """ + Creates an instance of the ChatOpenAI class with the provided language model configuration. + + Returns: + ChatOpenAI: An instance of the ChatOpenAI class. + + Raises: + ValueError: If 'api_key' is not provided in llm_config. + """ + llm_defaults = { + "temperature": 0, + "streaming": True + } + # Update defaults with any LLM parameters that were provided + llm_params = {**llm_defaults, **llm_config} + # Ensure the api_key is set, raise an error if it's not + if "api_key" not in llm_params: + raise ValueError("LLM configuration must include an 'api_key'.") + # select the model based on the model name + if "gpt-" in llm_params["model"]: + return OpenAI(llm_params) + elif "gemini" in llm_params["model"]: + return Gemini(llm_params) + else: + raise ValueError("Model not supported") + + def _create_graph(self): + """ + Creates the graph of nodes representing the workflow for web scraping. + + Returns: + BaseGraph: An instance of the BaseGraph class. + """ + # define the nodes for the graph + search_internet_node = SearchInternetNode( + input="url | local_dir", + output=["doc"], + model_config={"llm_model": self.llm_model}, + ) + fetch_node = FetchNode( + input="url | local_dir", + output=["doc"], + ) + parse_node = ParseNode( + input="doc", + output=["parsed_doc"], + ) + rag_node = RAGNode( + input="user_prompt & (parsed_doc | doc)", + output=["relevant_chunks"], + model_config={"llm_model": self.llm_model}, + ) + generate_answer_node = GenerateAnswerNode( + input="user_prompt & (relevant_chunks | parsed_doc | doc)", + output=["answer"], + model_config={"llm_model": self.llm_model}, + ) + + return BaseGraph( + nodes={ + search_internet_node, + fetch_node, + parse_node, + rag_node, + generate_answer_node, + }, + edges={ + (search_internet_node, fetch_node), + (fetch_node, parse_node), + (parse_node, rag_node), + (rag_node, generate_answer_node) + }, + entry_point=search_internet_node + ) From 5e38c2e29817c268d0fb868c7de4a5017a48ccf6 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Thu, 28 Mar 2024 20:46:17 +0100 Subject: [PATCH 06/12] add superclasse for graphs --- examples/graph_examples/result.csv | 4 +- examples/graph_examples/result.json | 2 +- scrapegraphai/graphs/__init__.py | 1 + scrapegraphai/graphs/abstract_graph.py | 43 ++++++++++++++ scrapegraphai/graphs/search_graph.py | 49 ++++++---------- scrapegraphai/graphs/smart_scraper_graph.py | 54 ++---------------- scrapegraphai/graphs/speech_graph.py | 63 ++++----------------- scrapegraphai/nodes/__init__.py | 1 + 8 files changed, 80 insertions(+), 137 deletions(-) create mode 100644 scrapegraphai/graphs/abstract_graph.py diff --git a/examples/graph_examples/result.csv b/examples/graph_examples/result.csv index 97ef817e..aa01441c 100644 --- a/examples/graph_examples/result.csv +++ b/examples/graph_examples/result.csv @@ -1,2 +1,2 @@ -0,1,2,3 -"{'title': 'Rotary Pendulum RL', 'description': 'Open Source project aimed at controlling a real life rotary pendulum using RL algorithms'}","{'title': 'DQN Implementation from scratch', 'description': 'Developed a Deep Q-Network algorithm to train a simple and double pendulum'}","{'title': 'Multi Agents HAED', 'description': '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.'}","{'title': 'Wireless ESC for Modular Drones', 'description': 'Modular drone architecture proposal and proof of concept. The project received maximum grade.'}" +news +"[{'title': ""Jeffrey Epstein's Island Visitors Exposed by Data Broker"", 'description': 'A WIRED investigation uncovered coordinates collected by a controversial data broker that reveal sensitive information about visitors to an island once owned by Epstein, the notorious sex offender.'}, {'title': 'Bug Zappers Are Swarming on Amazon', 'description': 'An article discussing the increase in bug zappers being sold on Amazon.'}, {'title': 'FTX Founder Sam Bankman-Fried Sentenced to 25 Years in Prison', 'description': 'FTX founder Sam Bankman-Fried has been sentenced to 25 years in prison.'}, {'title': 'AWOL’s Latest Projector (and Its Price) Are Borderline Blinding', 'description': ""An article about AWOL's latest projector and its price.""}, {'title': 'The Best Umbrellas to Help You Ride Out the Rain', 'description': 'A list of the best umbrellas to use during rainy weather.'}, {'title': 'A First Look at Samsung’s 2024 TV Lineup', 'description': ""An overview of Samsung's 2024 TV lineup.""}, {'title': 'RFK Jr. Has Assembled His Anti-Vax Conspiracy Squad', 'description': 'RFK Jr. has assembled a group to spread anti-vaccination conspiracy theories.'}, {'title': 'Is a Nintendo Switch Worth Buying Right Now?', 'description': ""An article discussing whether it's worth buying a Nintendo Switch at the moment.""}, {'title': 'The White House Puts New Guardrails on Government Use of AI', 'description': ""The White House has implemented new regulations on the government's use of AI.""}, {'title': 'The Baltimore Bridge Collapse Is About to Get Even Messier', 'description': 'An update on the situation surrounding the Baltimore Bridge collapse.'}, {'title': 'Inside the Creation of the World’s Most Powerful Open Source AI Model', 'description': 'An article detailing the creation of a powerful open-source AI model.'}, {'title': 'The 30 Best Shows on Max (aka HBO Max) Right Now', 'description': 'A list of the 30 best shows currently available on HBO Max.'}, {'title': 'Is AI the Future of NPCs?', 'description': 'An exploration of whether AI is the future of NPCs in gaming.'}, {'title': 'The 25 Best Movies on Max (aka HBO Max) Right Now', 'description': 'A list of the 25 best movies currently available on HBO Max.'}, {'title': 'What the Apple Antitrust Suit Means for the Future of Messaging', 'description': 'An analysis of the implications of the Apple antitrust suit on messaging platforms.'}, {'title': 'The 19 Best PS5 Games, From Sci-Fi Horror to Kitty-Cat Adventures', 'description': 'A list of the 19 best games available on the PS5.'}, {'title': 'Our Favorite Garmin Smartwatches Are on Sale', 'description': 'An article highlighting Garmin smartwatches that are currently on sale.'}, {'title': 'Online Conspiracies About the Baltimore Bridge Collapse Are Out of Control', 'description': 'A discussion on the online conspiracies surrounding the Baltimore Bridge collapse.'}, {'title': 'Antiabortion Disinformation Ads Ran Rampant on Facebook', 'description': 'An article addressing the prevalence of antiabortion disinformation ads on Facebook.'}, {'title': 'The Real Reason Some Abortion Pill Patients Go to the ER', 'description': 'An exploration of the reasons why some abortion pill patients end up in the ER.'}, {'title': 'The Earth Will Feast on Dead Cicadas', 'description': 'An article discussing the ecological impact of dead cicadas.'}, {'title': 'Meet the Designer Behind Neuralink’s Surgical Robot', 'description': ""An introduction to the designer behind Neuralink's surgical robot.""}, {'title': 'The Next Generation of Cancer Drugs Will Be Made in Space', 'description': 'An article detailing the future of cancer drug production in space.'}, {'title': '‘Malicious Activity’ Hits the University of Cambridge’s Medical School', 'description': ""An update on the 'malicious activity' affecting the University of Cambridge's Medical School.""}, {'title': 'Judges Block US Extradition of WikiLeaks Founder Julian Assange--for Now', 'description': 'An update on the US extradition case of WikiLeaks founder Julian Assange.'}, {'title': 'Chinese Hackers Charged in Decade-Long Global Spying Rampage', 'description': 'An article discussing the charges against Chinese hackers for global spying.'}]" diff --git a/examples/graph_examples/result.json b/examples/graph_examples/result.json index 8a4e7057..72072475 100644 --- a/examples/graph_examples/result.json +++ b/examples/graph_examples/result.json @@ -1 +1 @@ -{"projects": [{"title": "Rotary Pendulum RL", "description": "Open Source project aimed at controlling a real life rotary pendulum using RL algorithms"}, {"title": "DQN Implementation from scratch", "description": "Developed a Deep Q-Network algorithm to train a simple and double pendulum"}, {"title": "Multi Agents HAED", "description": "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."}, {"title": "Wireless ESC for Modular Drones", "description": "Modular drone architecture proposal and proof of concept. The project received maximum grade."}]} \ No newline at end of file +{"merged_content": {"news": [{"title": "Jeffrey Epstein's Island Visitors Exposed by Data Broker", "description": "A WIRED investigation uncovered coordinates collected by a controversial data broker that reveal sensitive information about visitors to an island once owned by Epstein, the notorious sex offender."}, {"title": "Bug Zappers Are Swarming on Amazon", "description": "An article discussing the increase in bug zappers being sold on Amazon."}, {"title": "FTX Founder Sam Bankman-Fried Sentenced to 25 Years in Prison", "description": "FTX founder Sam Bankman-Fried has been sentenced to 25 years in prison."}, {"title": "AWOL\u2019s Latest Projector (and Its Price) Are Borderline Blinding", "description": "An article about AWOL's latest projector and its price."}, {"title": "The Best Umbrellas to Help You Ride Out the Rain", "description": "A list of the best umbrellas to use during rainy weather."}, {"title": "A First Look at Samsung\u2019s 2024 TV Lineup", "description": "An overview of Samsung's 2024 TV lineup."}, {"title": "RFK Jr. Has Assembled His Anti-Vax Conspiracy Squad", "description": "RFK Jr. has assembled a group to spread anti-vaccination conspiracy theories."}, {"title": "Is a Nintendo Switch Worth Buying Right Now?", "description": "An article discussing whether it's worth buying a Nintendo Switch at the moment."}, {"title": "The White House Puts New Guardrails on Government Use of AI", "description": "The White House has implemented new regulations on the government's use of AI."}, {"title": "The Baltimore Bridge Collapse Is About to Get Even Messier", "description": "An update on the situation surrounding the Baltimore Bridge collapse."}, {"title": "Inside the Creation of the World\u2019s Most Powerful Open Source AI Model", "description": "An article detailing the creation of a powerful open-source AI model."}, {"title": "The 30 Best Shows on Max (aka HBO Max) Right Now", "description": "A list of the 30 best shows currently available on HBO Max."}, {"title": "Is AI the Future of NPCs?", "description": "An exploration of whether AI is the future of NPCs in gaming."}, {"title": "The 25 Best Movies on Max (aka HBO Max) Right Now", "description": "A list of the 25 best movies currently available on HBO Max."}, {"title": "What the Apple Antitrust Suit Means for the Future of Messaging", "description": "An analysis of the implications of the Apple antitrust suit on messaging platforms."}, {"title": "The 19 Best PS5 Games, From Sci-Fi Horror to Kitty-Cat Adventures", "description": "A list of the 19 best games available on the PS5."}, {"title": "Our Favorite Garmin Smartwatches Are on Sale", "description": "An article highlighting Garmin smartwatches that are currently on sale."}, {"title": "Online Conspiracies About the Baltimore Bridge Collapse Are Out of Control", "description": "A discussion on the online conspiracies surrounding the Baltimore Bridge collapse."}, {"title": "Antiabortion Disinformation Ads Ran Rampant on Facebook", "description": "An article addressing the prevalence of antiabortion disinformation ads on Facebook."}, {"title": "The Real Reason Some Abortion Pill Patients Go to the ER", "description": "An exploration of the reasons why some abortion pill patients end up in the ER."}, {"title": "The Earth Will Feast on Dead Cicadas", "description": "An article discussing the ecological impact of dead cicadas."}, {"title": "Meet the Designer Behind Neuralink\u2019s Surgical Robot", "description": "An introduction to the designer behind Neuralink's surgical robot."}, {"title": "The Next Generation of Cancer Drugs Will Be Made in Space", "description": "An article detailing the future of cancer drug production in space."}, {"title": "\u2018Malicious Activity\u2019 Hits the University of Cambridge\u2019s Medical School", "description": "An update on the 'malicious activity' affecting the University of Cambridge's Medical School."}, {"title": "Judges Block US Extradition of WikiLeaks Founder Julian Assange--for Now", "description": "An update on the US extradition case of WikiLeaks founder Julian Assange."}, {"title": "Chinese Hackers Charged in Decade-Long Global Spying Rampage", "description": "An article discussing the charges against Chinese hackers for global spying."}]}} \ No newline at end of file diff --git a/scrapegraphai/graphs/__init__.py b/scrapegraphai/graphs/__init__.py index 67792b28..a7d2897b 100644 --- a/scrapegraphai/graphs/__init__.py +++ b/scrapegraphai/graphs/__init__.py @@ -4,3 +4,4 @@ __init__.py file for graphs folder from .base_graph import BaseGraph from .smart_scraper_graph import SmartScraperGraph from .speech_graph import SpeechGraph +from .search_graph import SearchGraph diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py new file mode 100644 index 00000000..d5cc9987 --- /dev/null +++ b/scrapegraphai/graphs/abstract_graph.py @@ -0,0 +1,43 @@ +""" +Module having abstract class for creating all the graphs +""" +from abc import ABC, abstractmethod + + +class AbstractGraph(ABC): + """ + Abstract class representing a generic graph-based tool. + """ + + def __init__(self, prompt: str, file_source: str, config: dict): + """ + Initializes the AbstractGraph with a prompt, file source, and configuration. + """ + self.prompt = prompt + self.file_source = file_source + self.input_key = "url" if file_source.startswith( + "http") else "local_dir" + self.config = config + self.llm_model = self._create_llm(config["llm"]) + self.graph = self._create_graph() + + @abstractmethod + def _create_llm(self, llm_config: dict): + """ + Abstract method to create a language model instance. + """ + pass + + @abstractmethod + def _create_graph(self): + """ + Abstract method to create a graph representation. + """ + pass + + @abstractmethod + def run(self) -> str: + """ + Abstract method to execute the graph and return the result. + """ + pass diff --git a/scrapegraphai/graphs/search_graph.py b/scrapegraphai/graphs/search_graph.py index d346678b..2c568221 100644 --- a/scrapegraphai/graphs/search_graph.py +++ b/scrapegraphai/graphs/search_graph.py @@ -1,5 +1,5 @@ -""" -Module for creating the search graph +""" +Module for making the search on the intenet """ from ..models import OpenAI, Gemini from .base_graph import BaseGraph @@ -7,48 +7,28 @@ from ..nodes import ( FetchNode, ParseNode, RAGNode, - GenerateAnswerNode + GenerateAnswerNode, + SearchInternetNode ) -from ..nodes.search_internet_node import SearchInternetNode +from .abstract_graph import AbstractGraph -class SearchGraph: +class SearchGraph(AbstractGraph): """ Module for searching info on the internet """ - def __init__(self, prompt: str, file_source: str, config: dict): - """ - Initializes SmartScraper with a prompt, URL, and language model configuration. - """ - self.prompt = prompt - self.file_source = file_source - self.input_key = "url" if file_source.startswith( - "http") else "local_dir" - self.config = config - self.llm_model = self._create_llm(config["llm"]) - self.graph = self._create_graph() - def _create_llm(self, llm_config: dict): """ - Creates an instance of the ChatOpenAI class with the provided language model configuration. - - Returns: - ChatOpenAI: An instance of the ChatOpenAI class. - - Raises: - ValueError: If 'api_key' is not provided in llm_config. + Creates an instance of the language model (OpenAI or Gemini) based on configuration. """ llm_defaults = { "temperature": 0, "streaming": True } - # Update defaults with any LLM parameters that were provided llm_params = {**llm_defaults, **llm_config} - # Ensure the api_key is set, raise an error if it's not if "api_key" not in llm_params: raise ValueError("LLM configuration must include an 'api_key'.") - # select the model based on the model name if "gpt-" in llm_params["model"]: return OpenAI(llm_params) elif "gemini" in llm_params["model"]: @@ -58,12 +38,8 @@ class SearchGraph: def _create_graph(self): """ - Creates the graph of nodes representing the workflow for web scraping. - - Returns: - BaseGraph: An instance of the BaseGraph class. + Creates the graph of nodes representing the workflow for web scraping and searching. """ - # define the nodes for the graph search_internet_node = SearchInternetNode( input="url | local_dir", output=["doc"], @@ -104,3 +80,12 @@ class SearchGraph: }, entry_point=search_internet_node ) + + def run(self) -> str: + """ + Executes the web scraping and searching process. + """ + inputs = {"user_prompt": self.prompt, self.input_key: self.file_source} + final_state = self.graph.execute(inputs) + + return final_state.get("answer", "No answer found.") diff --git a/scrapegraphai/graphs/smart_scraper_graph.py b/scrapegraphai/graphs/smart_scraper_graph.py index 0bfda6fc..9175f549 100644 --- a/scrapegraphai/graphs/smart_scraper_graph.py +++ b/scrapegraphai/graphs/smart_scraper_graph.py @@ -9,64 +9,26 @@ from ..nodes import ( RAGNode, GenerateAnswerNode ) +from .abstract_graph import AbstractGraph -class SmartScraperGraph: +class SmartScraperGraph(AbstractGraph): """ SmartScraper is a comprehensive web scraping tool that automates the process of extracting information from web pages using a natural language model to interpret and answer prompts. - - Attributes: - prompt (str): The user's natural language prompt for the information to be extracted. - url (str): The URL of the web page to scrape. - llm_config (dict): Configuration parameters for the language model, with - 'api_key' being mandatory. - llm (ChatOpenAI): An instance of the ChatOpenAI class configured with llm_config. - graph (BaseGraph): An instance of the BaseGraph class representing the scraping workflow. - - Methods: - run(): Executes the web scraping process and returns the answer to the prompt. - - Args: - prompt (str): The user's natural language prompt for the information to be extracted. - url (str): The URL of the web page to scrape. - llm_config (dict): A dictionary containing configuration options for the language model. - Must include 'api_key', may also specify 'model_name', - 'temperature', and 'streaming'. """ - def __init__(self, prompt: str, file_source: str, config: dict): - """ - Initializes the SmartScraper with a prompt, URL, and language model configuration. - """ - self.prompt = prompt - self.file_source = file_source - self.input_key = "url" if file_source.startswith( - "http") else "local_dir" - self.config = config - self.llm_model = self._create_llm(config["llm"]) - self.graph = self._create_graph() - def _create_llm(self, llm_config: dict): """ - Creates an instance of the ChatOpenAI class with the provided language model configuration. - - Returns: - ChatOpenAI: An instance of the ChatOpenAI class. - - Raises: - ValueError: If 'api_key' is not provided in llm_config. + Creates an instance of the language model (OpenAI or Gemini) based on configuration. """ llm_defaults = { "temperature": 0, "streaming": True } - # Update defaults with any LLM parameters that were provided llm_params = {**llm_defaults, **llm_config} - # Ensure the api_key is set, raise an error if it's not if "api_key" not in llm_params: raise ValueError("LLM configuration must include an 'api_key'.") - # select the model based on the model name if "gpt-" in llm_params["model"]: return OpenAI(llm_params) elif "gemini" in llm_params["model"]: @@ -77,11 +39,7 @@ class SmartScraperGraph: def _create_graph(self): """ Creates the graph of nodes representing the workflow for web scraping. - - Returns: - BaseGraph: An instance of the BaseGraph class. """ - # define the nodes for the graph fetch_node = FetchNode( input="url | local_dir", output=["doc"], @@ -118,12 +76,8 @@ class SmartScraperGraph: def run(self) -> str: """ - Executes the scraping process by running the graph and returns the extracted information. - - Returns: - str: The answer extracted from the web page, corresponding to the given prompt. + Executes the web scraping process and returns the answer to the prompt. """ - inputs = {"user_prompt": self.prompt, self.input_key: self.file_source} final_state = self.graph.execute(inputs) diff --git a/scrapegraphai/graphs/speech_graph.py b/scrapegraphai/graphs/speech_graph.py index 1e70e01d..da019698 100644 --- a/scrapegraphai/graphs/speech_graph.py +++ b/scrapegraphai/graphs/speech_graph.py @@ -1,5 +1,5 @@ """ -Module for extracting the summary from the speach +Module for converting text to speach """ from scrapegraphai.utils.save_audio_from_bytes import save_audio_from_bytes from ..models import OpenAI, Gemini, OpenAITextToSpeech @@ -11,62 +11,26 @@ from ..nodes import ( GenerateAnswerNode, TextToSpeechNode, ) +from .abstract_graph import AbstractGraph -class SpeechGraph: +class SpeechGraph(AbstractGraph): """ SpeechSummaryGraph is a tool that automates the process of extracting and summarizing information from web pages, then converting that summary into spoken word via an MP3 file. - - Attributes: - url (str): The URL of the web page to scrape and summarize. - llm_config (dict): Configuration parameters for the language model, - with 'api_key' mandatory. - summary_prompt (str): The prompt used to guide the summarization process. - output_path (Path): The path where the generated MP3 file will be saved. - - Methods: - run(): Executes the web scraping, summarization, and text-to-speech process. - - Args: - url (str): The URL of the web page to scrape and summarize. - llm_config (dict): A dictionary containing configuration options for the language model. - summary_prompt (str): The prompt used to guide the summarization process. - output_path (str): The file path where the generated MP3 should be saved. """ - def __init__(self, prompt: str, file_source: str, config: dict): - """ - Initializes the SmartScraper with a prompt, URL, and language model configuration. - """ - self.prompt = prompt - self.file_source = file_source - self.input_key = "url" if "http" in file_source else "local_dir" - self.llm_model = self._create_llm(config["llm"]) - self.output_path = config.get("output_path", "output.mp3") - self.text_to_speech_model = OpenAITextToSpeech(config["tts_model"]) - self.graph = self._create_graph() - def _create_llm(self, llm_config: dict): """ - Creates an instance of the ChatOpenAI class with the provided language model configuration. - - Returns: - ChatOpenAI: An instance of the ChatOpenAI class. - - Raises: - ValueError: If 'api_key' is not provided in llm_config. + Creates an instance of the language model (OpenAI or Gemini) based on configuration. """ llm_defaults = { "temperature": 0, "streaming": True } - # Update defaults with any LLM parameters that were provided llm_params = {**llm_defaults, **llm_config} - # Ensure the api_key is set, raise an error if it's not if "api_key" not in llm_params: raise ValueError("LLM configuration must include an 'api_key'.") - # select the model based on the model name if "gpt-" in llm_params["model"]: return OpenAI(llm_params) elif "gemini" in llm_params["model"]: @@ -76,12 +40,8 @@ class SpeechGraph: def _create_graph(self): """ - Creates the graph of nodes representing the workflow for web scraping. - - Returns: - BaseGraph: An instance of the BaseGraph class. + Creates the graph of nodes representing the workflow for web scraping and summarization. """ - # define the nodes for the graph fetch_node = FetchNode( input="url | local_dir", output=["doc"], @@ -103,7 +63,8 @@ class SpeechGraph: text_to_speech_node = TextToSpeechNode( input="answer", output=["audio"], - model_config={"tts_model": self.text_to_speech_model}, + model_config={"tts_model": OpenAITextToSpeech( + self.config["tts_model"])}, ) return BaseGraph( @@ -125,10 +86,7 @@ class SpeechGraph: def run(self) -> str: """ - Executes the scraping process by running the graph and returns the extracted information. - - Returns: - str: The answer extracted from the web page, corresponding to the given prompt. + Executes the web scraping, summarization, and text-to-speech process. """ inputs = {"user_prompt": self.prompt, self.input_key: self.file_source} final_state = self.graph.execute(inputs) @@ -136,7 +94,8 @@ class SpeechGraph: audio = final_state.get("audio", None) if not audio: raise ValueError("No audio generated from the text.") - save_audio_from_bytes(audio, self.output_path) - print(f"Audio saved to {self.output_path}") + save_audio_from_bytes(audio, self.config.get( + "output_path", "output.mp3")) + print(f"Audio saved to {self.config.get('output_path', 'output.mp3')}") return final_state diff --git a/scrapegraphai/nodes/__init__.py b/scrapegraphai/nodes/__init__.py index 71223add..e66aec9d 100644 --- a/scrapegraphai/nodes/__init__.py +++ b/scrapegraphai/nodes/__init__.py @@ -10,3 +10,4 @@ from .parse_node import ParseNode from .rag_node import RAGNode from .text_to_speech_node import TextToSpeechNode from .image_to_text_node import ImageToTextNode +from .search_internet_node import SearchInternetNode From 471df48a220d9f8d44db68a218b4ee6b0f35f564 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Mon, 1 Apr 2024 13:36:02 +0200 Subject: [PATCH 07/12] add google search --- scrapegraphai/utils/research_web.py | 31 +++++++++++++++----- scrapegraphai/utils/save_audio_from_bytes.py | 2 +- 2 files changed, 25 insertions(+), 8 deletions(-) diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index dfb7659a..452d1a9a 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -2,20 +2,37 @@ Module for making the request on the web """ import re +from typing import List from langchain_community.tools import DuckDuckGoSearchResults +from googlesearch import search -def search_word_on_web(word, max_results=10): +def search_word_on_web(word: str, web_browser: str = "Google", max_results: int = 10) -> List[str]: """ Function that given a word it finds it on the intenet Args: - word (str): word to search on internet - max_results (int): maximum number of results + word (str): word to search on internet + web_browser (str, optional): type of browser, it could be DuckDuckGo or Google, + default: Google + max_results (int, optional): maximum number of results + + Returns: + List[str]: List of strings of web link """ - search = DuckDuckGoSearchResults(max_results=max_results) - res = search.run(word) + if web_browser == "Google": + res = [] - links = re.findall(r'https?://\S+', res) + for url in search(web_browser, stop=max_results): + res.append(url) + return res + elif web_browser == "DuckDuckGo": + research = DuckDuckGoSearchResults(max_results=max_results) + res = research.run(word) - return links + links = re.findall(r'https?://\S+', res) + + return links + else: + raise ValueError( + "The only web browsers avaiable are DuckDuckGo or Google") diff --git a/scrapegraphai/utils/save_audio_from_bytes.py b/scrapegraphai/utils/save_audio_from_bytes.py index f250edbf..8f4a3577 100644 --- a/scrapegraphai/utils/save_audio_from_bytes.py +++ b/scrapegraphai/utils/save_audio_from_bytes.py @@ -5,7 +5,7 @@ This utility function saves the byte response as an audio file. from pathlib import Path -def save_audio_from_bytes(byte_response, output_path): +def save_audio_from_bytes(byte_response: bytes, output_path): """ Saves the byte response as an audio file. From db6d988b2d90d1482c6d61601fb042cecae1bb4c Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Mon, 1 Apr 2024 13:41:50 +0200 Subject: [PATCH 08/12] refactoring for pylint --- scrapegraphai/models/gemini.py | 3 +++ scrapegraphai/nodes/base_node.py | 11 ++++++++--- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/scrapegraphai/models/gemini.py b/scrapegraphai/models/gemini.py index 95ee2d57..d22b58ad 100644 --- a/scrapegraphai/models/gemini.py +++ b/scrapegraphai/models/gemini.py @@ -1,3 +1,6 @@ +""" +Module for configuration of Gemini +""" from langchain_google_genai import ChatGoogleGenerativeAI diff --git a/scrapegraphai/nodes/base_node.py b/scrapegraphai/nodes/base_node.py index e9766588..d3042b8e 100644 --- a/scrapegraphai/nodes/base_node.py +++ b/scrapegraphai/nodes/base_node.py @@ -40,7 +40,8 @@ class BaseNode(ABC): raised to indicate the incorrect usage. """ - def __init__(self, node_name: str, node_type: str, input: str, output: List[str], min_input_len: int = 1, model_config: Optional[dict] = None): + def __init__(self, node_name: str, node_type: str, input: str, output: List[str], + min_input_len: int = 1, model_config: Optional[dict] = None): """ Initialize the node with a unique identifier and a specified node type. @@ -73,7 +74,10 @@ class BaseNode(ABC): pass def get_input_keys(self, state: dict) -> List[str]: - # Use the _parse_input_keys method to identify which state keys are needed based on the input attribute + """ + Use the _parse_input_keys method to identify which state keys are needed + based on the input attribute + """ try: input_keys = self._parse_input_keys(state, self.input) self._validate_input_keys(input_keys) @@ -85,7 +89,8 @@ class BaseNode(ABC): 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)}.") + f"""{self.node_name} requires at least {self.min_input_len} input keys, + got {len(input_keys)}.""") def _parse_input_keys(self, state: dict, expression: str) -> List[str]: """ From b53bfefeeae771a7d1ad73aed18afda244528028 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Tue, 2 Apr 2024 12:57:27 +0200 Subject: [PATCH 09/12] removed junk if --- scrapegraphai/utils/research_web.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index 452d1a9a..bbe834a8 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -33,6 +33,5 @@ def search_word_on_web(word: str, web_browser: str = "Google", max_results: int links = re.findall(r'https?://\S+', res) return links - else: - raise ValueError( - "The only web browsers avaiable are DuckDuckGo or Google") + raise ValueError( + "The only web browsers avaiable are DuckDuckGo or Google") From c2709aa50c1f1eb1b766d562e25b189f1b307985 Mon Sep 17 00:00:00 2001 From: "EURAC\\marperini" Date: Sat, 6 Apr 2024 13:01:04 +0200 Subject: [PATCH 10/12] working search graph --- .gitignore | 1 + examples/graph_examples/result.csv | 2 - examples/graph_examples/result.json | 1 - .../graph_examples/search_graph_example.py | 28 + poetry.lock | 807 ++++++++++-------- pyproject.toml | 1 + scrapegraphai/graphs/abstract_graph.py | 4 +- scrapegraphai/graphs/search_graph.py | 12 +- scrapegraphai/nodes/fetch_node.py | 9 +- scrapegraphai/nodes/search_internet_node.py | 24 +- scrapegraphai/utils/research_web.py | 10 +- 11 files changed, 527 insertions(+), 372 deletions(-) delete mode 100644 examples/graph_examples/result.csv delete mode 100644 examples/graph_examples/result.json create mode 100644 examples/graph_examples/search_graph_example.py diff --git a/.gitignore b/.gitignore index 26f73e8c..b09506ab 100644 --- a/.gitignore +++ b/.gitignore @@ -26,5 +26,6 @@ venv/ *.pdf *.mp3 *.sqlite +*.google-cookie examples/graph_examples/ScrapeGraphAI_generated_graph main.py diff --git a/examples/graph_examples/result.csv b/examples/graph_examples/result.csv deleted file mode 100644 index aa01441c..00000000 --- a/examples/graph_examples/result.csv +++ /dev/null @@ -1,2 +0,0 @@ -news -"[{'title': ""Jeffrey Epstein's Island Visitors Exposed by Data Broker"", 'description': 'A WIRED investigation uncovered coordinates collected by a controversial data broker that reveal sensitive information about visitors to an island once owned by Epstein, the notorious sex offender.'}, {'title': 'Bug Zappers Are Swarming on Amazon', 'description': 'An article discussing the increase in bug zappers being sold on Amazon.'}, {'title': 'FTX Founder Sam Bankman-Fried Sentenced to 25 Years in Prison', 'description': 'FTX founder Sam Bankman-Fried has been sentenced to 25 years in prison.'}, {'title': 'AWOL’s Latest Projector (and Its Price) Are Borderline Blinding', 'description': ""An article about AWOL's latest projector and its price.""}, {'title': 'The Best Umbrellas to Help You Ride Out the Rain', 'description': 'A list of the best umbrellas to use during rainy weather.'}, {'title': 'A First Look at Samsung’s 2024 TV Lineup', 'description': ""An overview of Samsung's 2024 TV lineup.""}, {'title': 'RFK Jr. Has Assembled His Anti-Vax Conspiracy Squad', 'description': 'RFK Jr. has assembled a group to spread anti-vaccination conspiracy theories.'}, {'title': 'Is a Nintendo Switch Worth Buying Right Now?', 'description': ""An article discussing whether it's worth buying a Nintendo Switch at the moment.""}, {'title': 'The White House Puts New Guardrails on Government Use of AI', 'description': ""The White House has implemented new regulations on the government's use of AI.""}, {'title': 'The Baltimore Bridge Collapse Is About to Get Even Messier', 'description': 'An update on the situation surrounding the Baltimore Bridge collapse.'}, {'title': 'Inside the Creation of the World’s Most Powerful Open Source AI Model', 'description': 'An article detailing the creation of a powerful open-source AI model.'}, {'title': 'The 30 Best Shows on Max (aka HBO Max) Right Now', 'description': 'A list of the 30 best shows currently available on HBO Max.'}, {'title': 'Is AI the Future of NPCs?', 'description': 'An exploration of whether AI is the future of NPCs in gaming.'}, {'title': 'The 25 Best Movies on Max (aka HBO Max) Right Now', 'description': 'A list of the 25 best movies currently available on HBO Max.'}, {'title': 'What the Apple Antitrust Suit Means for the Future of Messaging', 'description': 'An analysis of the implications of the Apple antitrust suit on messaging platforms.'}, {'title': 'The 19 Best PS5 Games, From Sci-Fi Horror to Kitty-Cat Adventures', 'description': 'A list of the 19 best games available on the PS5.'}, {'title': 'Our Favorite Garmin Smartwatches Are on Sale', 'description': 'An article highlighting Garmin smartwatches that are currently on sale.'}, {'title': 'Online Conspiracies About the Baltimore Bridge Collapse Are Out of Control', 'description': 'A discussion on the online conspiracies surrounding the Baltimore Bridge collapse.'}, {'title': 'Antiabortion Disinformation Ads Ran Rampant on Facebook', 'description': 'An article addressing the prevalence of antiabortion disinformation ads on Facebook.'}, {'title': 'The Real Reason Some Abortion Pill Patients Go to the ER', 'description': 'An exploration of the reasons why some abortion pill patients end up in the ER.'}, {'title': 'The Earth Will Feast on Dead Cicadas', 'description': 'An article discussing the ecological impact of dead cicadas.'}, {'title': 'Meet the Designer Behind Neuralink’s Surgical Robot', 'description': ""An introduction to the designer behind Neuralink's surgical robot.""}, {'title': 'The Next Generation of Cancer Drugs Will Be Made in Space', 'description': 'An article detailing the future of cancer drug production in space.'}, {'title': '‘Malicious Activity’ Hits the University of Cambridge’s Medical School', 'description': ""An update on the 'malicious activity' affecting the University of Cambridge's Medical School.""}, {'title': 'Judges Block US Extradition of WikiLeaks Founder Julian Assange--for Now', 'description': 'An update on the US extradition case of WikiLeaks founder Julian Assange.'}, {'title': 'Chinese Hackers Charged in Decade-Long Global Spying Rampage', 'description': 'An article discussing the charges against Chinese hackers for global spying.'}]" diff --git a/examples/graph_examples/result.json b/examples/graph_examples/result.json deleted file mode 100644 index 72072475..00000000 --- a/examples/graph_examples/result.json +++ /dev/null @@ -1 +0,0 @@ -{"merged_content": {"news": [{"title": "Jeffrey Epstein's Island Visitors Exposed by Data Broker", "description": "A WIRED investigation uncovered coordinates collected by a controversial data broker that reveal sensitive information about visitors to an island once owned by Epstein, the notorious sex offender."}, {"title": "Bug Zappers Are Swarming on Amazon", "description": "An article discussing the increase in bug zappers being sold on Amazon."}, {"title": "FTX Founder Sam Bankman-Fried Sentenced to 25 Years in Prison", "description": "FTX founder Sam Bankman-Fried has been sentenced to 25 years in prison."}, {"title": "AWOL\u2019s Latest Projector (and Its Price) Are Borderline Blinding", "description": "An article about AWOL's latest projector and its price."}, {"title": "The Best Umbrellas to Help You Ride Out the Rain", "description": "A list of the best umbrellas to use during rainy weather."}, {"title": "A First Look at Samsung\u2019s 2024 TV Lineup", "description": "An overview of Samsung's 2024 TV lineup."}, {"title": "RFK Jr. Has Assembled His Anti-Vax Conspiracy Squad", "description": "RFK Jr. has assembled a group to spread anti-vaccination conspiracy theories."}, {"title": "Is a Nintendo Switch Worth Buying Right Now?", "description": "An article discussing whether it's worth buying a Nintendo Switch at the moment."}, {"title": "The White House Puts New Guardrails on Government Use of AI", "description": "The White House has implemented new regulations on the government's use of AI."}, {"title": "The Baltimore Bridge Collapse Is About to Get Even Messier", "description": "An update on the situation surrounding the Baltimore Bridge collapse."}, {"title": "Inside the Creation of the World\u2019s Most Powerful Open Source AI Model", "description": "An article detailing the creation of a powerful open-source AI model."}, {"title": "The 30 Best Shows on Max (aka HBO Max) Right Now", "description": "A list of the 30 best shows currently available on HBO Max."}, {"title": "Is AI the Future of NPCs?", "description": "An exploration of whether AI is the future of NPCs in gaming."}, {"title": "The 25 Best Movies on Max (aka HBO Max) Right Now", "description": "A list of the 25 best movies currently available on HBO Max."}, {"title": "What the Apple Antitrust Suit Means for the Future of Messaging", "description": "An analysis of the implications of the Apple antitrust suit on messaging platforms."}, {"title": "The 19 Best PS5 Games, From Sci-Fi Horror to Kitty-Cat Adventures", "description": "A list of the 19 best games available on the PS5."}, {"title": "Our Favorite Garmin Smartwatches Are on Sale", "description": "An article highlighting Garmin smartwatches that are currently on sale."}, {"title": "Online Conspiracies About the Baltimore Bridge Collapse Are Out of Control", "description": "A discussion on the online conspiracies surrounding the Baltimore Bridge collapse."}, {"title": "Antiabortion Disinformation Ads Ran Rampant on Facebook", "description": "An article addressing the prevalence of antiabortion disinformation ads on Facebook."}, {"title": "The Real Reason Some Abortion Pill Patients Go to the ER", "description": "An exploration of the reasons why some abortion pill patients end up in the ER."}, {"title": "The Earth Will Feast on Dead Cicadas", "description": "An article discussing the ecological impact of dead cicadas."}, {"title": "Meet the Designer Behind Neuralink\u2019s Surgical Robot", "description": "An introduction to the designer behind Neuralink's surgical robot."}, {"title": "The Next Generation of Cancer Drugs Will Be Made in Space", "description": "An article detailing the future of cancer drug production in space."}, {"title": "\u2018Malicious Activity\u2019 Hits the University of Cambridge\u2019s Medical School", "description": "An update on the 'malicious activity' affecting the University of Cambridge's Medical School."}, {"title": "Judges Block US Extradition of WikiLeaks Founder Julian Assange--for Now", "description": "An update on the US extradition case of WikiLeaks founder Julian Assange."}, {"title": "Chinese Hackers Charged in Decade-Long Global Spying Rampage", "description": "An article discussing the charges against Chinese hackers for global spying."}]}} \ No newline at end of file diff --git a/examples/graph_examples/search_graph_example.py b/examples/graph_examples/search_graph_example.py new file mode 100644 index 00000000..458274ef --- /dev/null +++ b/examples/graph_examples/search_graph_example.py @@ -0,0 +1,28 @@ +""" +Example of Search Graph +""" + +import os +from dotenv import load_dotenv +from scrapegraphai.graphs import SearchGraph + +load_dotenv() +openai_key = os.getenv("OPENAI_APIKEY") + +# Define the configuration for the graph +graph_config = { + "llm": { + "api_key": openai_key, + "model": "gpt-3.5-turbo", + "temperature": 0, + }, +} + +# Create the SmartScraperGraph instance +smart_scraper_graph = SearchGraph( + prompt="List me all the regions of Italy.", + config=graph_config +) + +result = smart_scraper_graph.run() +print(result) \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 63df4557..faa4e532 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. [[package]] name = "aiohttp" @@ -142,13 +142,13 @@ tz = ["backports.zoneinfo"] [[package]] name = "altair" -version = "5.2.0" +version = "5.3.0" description = "Vega-Altair: A declarative statistical visualization library for Python." optional = false python-versions = ">=3.8" files = [ - {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"}, - {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"}, + {file = "altair-5.3.0-py3-none-any.whl", hash = "sha256:7084a1dab4d83c5e7e5246b92dc1b4451a6c68fd057f3716ee9d315c8980e59a"}, + {file = "altair-5.3.0.tar.gz", hash = "sha256:5a268b1a0983b23d8f9129f819f956174aa7aea2719ed55a52eba9979b9f6675"}, ] [package.dependencies] @@ -161,7 +161,8 @@ toolz = "*" typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""} [package.extras] -dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", 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description = "A library to discover, try, install and share Streamlit extras" optional = false -python-versions = ">=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*" +python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" files = [ - {file = "streamlit_extras-0.4.0-py3-none-any.whl", hash = "sha256:7371963e9472065c38cb51e79b340f1bc8995d07e0837f1ccf0930df443c2439"}, - {file = "streamlit_extras-0.4.0.tar.gz", hash = "sha256:ac67645ab84accb5ae4de8ef7ca5dd5fc69965d934b9373f813770720814204d"}, + {file = "streamlit_extras-0.4.2-py3-none-any.whl", hash = "sha256:a7d28c13f167f7c9bccd7344052584575fbbf2452e119c433bc4e5c8a98022a0"}, + {file = "streamlit_extras-0.4.2.tar.gz", hash = "sha256:483016e54cc25f7217e109dc4c63bc66325d2e0db75ad481df327bed32f3f64f"}, ] [package.dependencies] @@ -3522,6 +3617,7 @@ streamlit-image-coordinates = ">=0.1.1,<0.2.0" streamlit-keyup = ">=0.1.9" streamlit-toggle-switch = ">=1.0.2" 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description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"}, - {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"}, + {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"}, + {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"}, ] [[package]] @@ -3824,6 +3920,17 @@ h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] +[[package]] +name = "validators" +version = "0.28.0" +description = "Python Data Validation for Humans™" +optional = false +python-versions = ">=3.8" +files = [ + {file = "validators-0.28.0-py3-none-any.whl", hash = "sha256:e0184691dea3ba82b52c161ba81d3ec1d8be8da9609f0137d1430b395b366521"}, + {file = "validators-0.28.0.tar.gz", hash = "sha256:85bc82511f6ccd0800f4c15d8c0dc546c15e369640c5ea1f24349ba0b3b17815"}, +] + [[package]] name = "watchdog" version = "4.0.0" @@ -3986,4 +4093,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">3.9,<3.9.7 || >3.9.7,<3.12" -content-hash = "e3b11e19ab2febb71da1dd3746bae4310fce98af6241cf2b8d2c996963237481" +content-hash = "8e8c1c00e39f87a357da392c4e544a6f36f1b390ab558f9a9de7340998065724" diff --git a/pyproject.toml b/pyproject.toml index a60ac03e..46101745 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,6 +36,7 @@ python-dotenv = "1.0.1" tiktoken = {version = ">=0.5.2,<0.6.0"} tqdm = "4.66.1" graphviz = "0.20.1" +google = "3.0.0" [tool.poetry.dev-dependencies] pytest = "8.0.0" diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py index d5cc9987..31c0bfce 100644 --- a/scrapegraphai/graphs/abstract_graph.py +++ b/scrapegraphai/graphs/abstract_graph.py @@ -2,14 +2,14 @@ Module having abstract class for creating all the graphs """ from abc import ABC, abstractmethod - +from typing import Optional class AbstractGraph(ABC): """ Abstract class representing a generic graph-based tool. """ - def __init__(self, prompt: str, file_source: str, config: dict): + def __init__(self, prompt: str, config: dict, file_source: Optional[str] = "url"): """ Initializes the AbstractGraph with a prompt, file source, and configuration. """ diff --git a/scrapegraphai/graphs/search_graph.py b/scrapegraphai/graphs/search_graph.py index 2c568221..c5f3a6a5 100644 --- a/scrapegraphai/graphs/search_graph.py +++ b/scrapegraphai/graphs/search_graph.py @@ -4,11 +4,11 @@ Module for making the search on the intenet from ..models import OpenAI, Gemini from .base_graph import BaseGraph from ..nodes import ( + SearchInternetNode, FetchNode, ParseNode, RAGNode, - GenerateAnswerNode, - SearchInternetNode + GenerateAnswerNode ) from .abstract_graph import AbstractGraph @@ -41,9 +41,9 @@ class SearchGraph(AbstractGraph): Creates the graph of nodes representing the workflow for web scraping and searching. """ search_internet_node = SearchInternetNode( - input="url | local_dir", - output=["doc"], - model_config={"llm_model": self.llm_model}, + input="user_prompt", + output=["url"], + model_config={"llm_model": self.llm_model} ) fetch_node = FetchNode( input="url | local_dir", @@ -85,7 +85,7 @@ class SearchGraph(AbstractGraph): """ Executes the web scraping and searching process. """ - inputs = {"user_prompt": self.prompt, self.input_key: self.file_source} + inputs = {"user_prompt": self.prompt} final_state = self.graph.execute(inputs) return final_state.get("answer", "No answer found.") diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py index bb638caa..892fb551 100644 --- a/scrapegraphai/nodes/fetch_node.py +++ b/scrapegraphai/nodes/fetch_node.py @@ -67,10 +67,11 @@ class FetchNode(BaseNode): # Fetching data from the state based on the input keys input_data = [state[key] for key in input_keys] - source = input_data[0] - - if not source.startswith( - "http"): + source = input_data[0] + + print(f"Fetching content from: {source}") + # if it is a local directory + if not source.startswith("http"): document = [Document(page_content=source, metadata={ "source": "local_dir" })] diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py index 7b7a9b8e..021729f9 100644 --- a/scrapegraphai/nodes/search_internet_node.py +++ b/scrapegraphai/nodes/search_internet_node.py @@ -2,7 +2,9 @@ Module for generating the answer node """ from typing import List -from ..utils.research_web import search_word_on_web +from langchain.output_parsers import CommaSeparatedListOutputParser +from langchain.prompts import PromptTemplate +from ..utils.research_web import search_on_web from .base_node import BaseNode @@ -46,6 +48,7 @@ class SearchInternetNode(BaseNode): node_name (str): The unique identifier name for the node. """ super().__init__(node_name, "node", input, output, 1, model_config) + self.llm_model = model_config["llm_model"] def execute(self, state): """ @@ -75,7 +78,24 @@ class SearchInternetNode(BaseNode): user_prompt = input_data[0] - answer = search_word_on_web(user_prompt) + output_parser = CommaSeparatedListOutputParser() + + search_template = """Given the following user prompt, return a query that can be used to search the internet for relevant information. \n + You should return only the query string. \n + User Prompt: {user_prompt}""" + + search_prompt = PromptTemplate( + template=search_template, + input_variables=["user_prompt"], + ) + + # Execute the chain to get the search query + search_answer = search_prompt | self.llm_model | output_parser + search_query = search_answer.invoke({"user_prompt": user_prompt})[0] + + print(f"Search Query: {search_query}") + # TODO: handle multiple URLs + answer = search_on_web(query=search_query, web_browser="Google", max_results=1)[0] # Update the state with the generated answer state.update({self.output[0]: answer}) diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index bbe834a8..373b3168 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -7,11 +7,11 @@ from langchain_community.tools import DuckDuckGoSearchResults from googlesearch import search -def search_word_on_web(word: str, web_browser: str = "Google", max_results: int = 10) -> List[str]: +def search_on_web(query: str, web_browser: str = "Google", max_results: int = 10) -> List[str]: """ - Function that given a word it finds it on the intenet + Function that given a query it finds it on the intenet Args: - word (str): word to search on internet + query (str): query to search on internet web_browser (str, optional): type of browser, it could be DuckDuckGo or Google, default: Google max_results (int, optional): maximum number of results @@ -23,12 +23,12 @@ def search_word_on_web(word: str, web_browser: str = "Google", max_results: int if web_browser == "Google": res = [] - for url in search(web_browser, stop=max_results): + for url in search(query, stop=max_results): res.append(url) return res elif web_browser == "DuckDuckGo": research = DuckDuckGoSearchResults(max_results=max_results) - res = research.run(word) + res = research.run(query) links = re.findall(r'https?://\S+', res) From 57a53bd6af9dfad781886054403d67dc3286af89 Mon Sep 17 00:00:00 2001 From: "EURAC\\marperini" Date: Sat, 6 Apr 2024 13:22:42 +0200 Subject: [PATCH 11/12] refactor examples --- examples/graph_examples/custom_graph_openai.py | 7 +------ examples/graph_examples/smart_scraper_example.py | 5 ----- examples/graph_examples/speech_graph_example.py | 5 ----- scrapegraphai/nodes/search_internet_node.py | 2 +- scrapegraphai/utils/research_web.py | 12 ++++++------ 5 files changed, 8 insertions(+), 23 deletions(-) diff --git a/examples/graph_examples/custom_graph_openai.py b/examples/graph_examples/custom_graph_openai.py index 4f982ace..48fbc9d6 100644 --- a/examples/graph_examples/custom_graph_openai.py +++ b/examples/graph_examples/custom_graph_openai.py @@ -7,7 +7,6 @@ from dotenv import load_dotenv from scrapegraphai.models import OpenAI from scrapegraphai.graphs import BaseGraph from scrapegraphai.nodes import FetchNode, ParseNode, RAGNode, GenerateAnswerNode -from scrapegraphai.utils import convert_to_csv, convert_to_json load_dotenv() openai_key = os.getenv("OPENAI_APIKEY") @@ -68,8 +67,4 @@ result = graph.execute({ # get the answer from the result result = result.get("answer", "No answer found.") -print(result) - -# Save to json and csv -convert_to_csv(result, "result") -convert_to_json(result, "result") +print(result) \ No newline at end of file diff --git a/examples/graph_examples/smart_scraper_example.py b/examples/graph_examples/smart_scraper_example.py index cc9ba530..a8bc2d92 100644 --- a/examples/graph_examples/smart_scraper_example.py +++ b/examples/graph_examples/smart_scraper_example.py @@ -5,7 +5,6 @@ Basic example of scraping pipeline using SmartScraper import os from dotenv import load_dotenv from scrapegraphai.graphs import SmartScraperGraph -from scrapegraphai.utils import convert_to_csv, convert_to_json load_dotenv() openai_key = os.getenv("OPENAI_APIKEY") @@ -28,7 +27,3 @@ smart_scraper_graph = SmartScraperGraph( result = smart_scraper_graph.run() print(result) - -# Save to json and csv -convert_to_csv(result, "result") -convert_to_json(result, "result") diff --git a/examples/graph_examples/speech_graph_example.py b/examples/graph_examples/speech_graph_example.py index 6c2d9785..7afac269 100644 --- a/examples/graph_examples/speech_graph_example.py +++ b/examples/graph_examples/speech_graph_example.py @@ -5,7 +5,6 @@ Basic example of scraping pipeline using SpeechSummaryGraph import os from dotenv import load_dotenv from scrapegraphai.graphs import SpeechGraph -from scrapegraphai.utils import convert_to_csv, convert_to_json load_dotenv() openai_key = os.getenv("OPENAI_APIKEY") @@ -37,7 +36,3 @@ speech_graph = SpeechGraph( result = speech_graph.run() print(result.get("answer", "No answer found")) - -# Save to json and csv -convert_to_csv(result, "result") -convert_to_json(result, "result") diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py index 021729f9..0b33f79b 100644 --- a/scrapegraphai/nodes/search_internet_node.py +++ b/scrapegraphai/nodes/search_internet_node.py @@ -95,7 +95,7 @@ class SearchInternetNode(BaseNode): print(f"Search Query: {search_query}") # TODO: handle multiple URLs - answer = search_on_web(query=search_query, web_browser="Google", max_results=1)[0] + answer = search_on_web(query=search_query, search_engine="DuckDuckGo", max_results=1)[0] # Update the state with the generated answer state.update({self.output[0]: answer}) diff --git a/scrapegraphai/utils/research_web.py b/scrapegraphai/utils/research_web.py index 373b3168..8f48adcd 100644 --- a/scrapegraphai/utils/research_web.py +++ b/scrapegraphai/utils/research_web.py @@ -7,12 +7,12 @@ from langchain_community.tools import DuckDuckGoSearchResults from googlesearch import search -def search_on_web(query: str, web_browser: str = "Google", max_results: int = 10) -> List[str]: +def search_on_web(query: str, search_engine: str = "Google", max_results: int = 10) -> List[str]: """ Function that given a query it finds it on the intenet Args: query (str): query to search on internet - web_browser (str, optional): type of browser, it could be DuckDuckGo or Google, + search_engine (str, optional): type of browser, it could be DuckDuckGo or Google, default: Google max_results (int, optional): maximum number of results @@ -20,18 +20,18 @@ def search_on_web(query: str, web_browser: str = "Google", max_results: int = 10 List[str]: List of strings of web link """ - if web_browser == "Google": + if search_engine == "Google": res = [] for url in search(query, stop=max_results): res.append(url) return res - elif web_browser == "DuckDuckGo": + elif search_engine == "DuckDuckGo": research = DuckDuckGoSearchResults(max_results=max_results) res = research.run(query) - links = re.findall(r'https?://\S+', res) + links = re.findall(r'https?://[^\s,\]]+', res) return links raise ValueError( - "The only web browsers avaiable are DuckDuckGo or Google") + "The only search engines avaiable are DuckDuckGo or Google") From a5fc71f34e3a841e384e2697c8ef533a3ce46508 Mon Sep 17 00:00:00 2001 From: VinciGit00 Date: Sat, 6 Apr 2024 14:39:19 +0200 Subject: [PATCH 12/12] fixed internet research --- examples/graph_examples/search_graph_example.py | 7 ++++++- scrapegraphai/nodes/search_internet_node.py | 5 +++-- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/examples/graph_examples/search_graph_example.py b/examples/graph_examples/search_graph_example.py index 458274ef..5d3a2270 100644 --- a/examples/graph_examples/search_graph_example.py +++ b/examples/graph_examples/search_graph_example.py @@ -5,6 +5,7 @@ Example of Search Graph import os from dotenv import load_dotenv from scrapegraphai.graphs import SearchGraph +from scrapegraphai.utils import convert_to_csv, convert_to_json load_dotenv() openai_key = os.getenv("OPENAI_APIKEY") @@ -25,4 +26,8 @@ smart_scraper_graph = SearchGraph( ) result = smart_scraper_graph.run() -print(result) \ No newline at end of file +print(result) + +# Save to json and csv +convert_to_csv(result, "result") +convert_to_json(result, "result") diff --git a/scrapegraphai/nodes/search_internet_node.py b/scrapegraphai/nodes/search_internet_node.py index 0b33f79b..88297c1d 100644 --- a/scrapegraphai/nodes/search_internet_node.py +++ b/scrapegraphai/nodes/search_internet_node.py @@ -80,7 +80,8 @@ class SearchInternetNode(BaseNode): output_parser = CommaSeparatedListOutputParser() - search_template = """Given the following user prompt, return a query that can be used to search the internet for relevant information. \n + search_template = """Given the following user prompt, return a query that can be + used to search the internet for relevant information. \n You should return only the query string. \n User Prompt: {user_prompt}""" @@ -95,7 +96,7 @@ class SearchInternetNode(BaseNode): print(f"Search Query: {search_query}") # TODO: handle multiple URLs - answer = search_on_web(query=search_query, search_engine="DuckDuckGo", max_results=1)[0] + answer = search_on_web(query=search_query, max_results=1)[0] # Update the state with the generated answer state.update({self.output[0]: answer})