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import requests | |
from bs4 import BeautifulSoup | |
from helpers.GROQ import ConversationGROQ | |
class Scrapper: | |
def __init__(self, url: str, groq_instance: ConversationGROQ): | |
self.url = url | |
self.groq_instance = groq_instance | |
def scrape(self): | |
response = requests.get(self.url) | |
response.raise_for_status | |
return response.content | |
def parse(self, content: str): | |
soup = BeautifulSoup(content, 'html.parser') | |
return ' '.join(soup.stripped_strings) | |
def compress(self, content: str): | |
return ' '.join(content.split()) | |
def truncate(self, content: str): | |
return content[:1000] + '...' if len(content) > 1000 else content | |
def analyze(self, content: str): | |
prompt = """ | |
Analyze the following HTML content with exceptional precision and depth: | |
{content} | |
""" | |
response = self.groq_instance.chat(prompt.format(content=content)) | |
return response | |
def extract(self, content: str): | |
prompt = """ | |
Extract the following structured data from the HTML content: | |
{content} | |
1. JSON representation: Extract key information and structure it in JSON format. | |
2. Table extraction: Identify and extract any tables, presenting them in JSON format. | |
3. List compilation: Extract and present lists from the content in JSON format. | |
4. Key-value pair extraction: Identify and extract key-value pairs, presenting them in JSON format. | |
5. Numerical data analysis: Extract and present numerical data in JSON format. | |
6. Entity recognition: Identify and categorize named entities, presenting them in JSON format. | |
7. Sentiment analysis: Assess overall tone and sentiment, presenting results in JSON format. | |
8. Language detection: Identify the primary language and any secondary languages, presenting in JSON format. | |
9. Structured data markup: Extract any structured data present on the page, presenting in JSON format. | |
10. API endpoints: Document any API endpoints referenced, presenting in JSON format. | |
Ensure the extracted data is well-structured and properly formatted in JSON. | |
{content} | |
Provide the data in JSON format. | |
""" | |
response = self.groq_instance.chat(prompt.format(content=content)) | |
return response | |