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Update app.py
Browse files
app.py
CHANGED
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@@ -4,7 +4,9 @@ import requests
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import json
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import os
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import logging
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from typing import Dict, List
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from datetime import datetime
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from bs4 import BeautifulSoup
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from googlesearch import search
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@@ -32,6 +34,68 @@ class RaindropSearchBot:
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self.client = OpenAI(api_key=self.openai_api_key)
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self.newsapi = NewsApiClient(api_key=self.newsapi_key)
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def get_google_results(self, query: str, num_results: int = 5) -> List[Dict]:
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"""Get Google search results using googlesearch-python."""
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try:
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@@ -210,59 +274,139 @@ class RaindropSearchBot:
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logger.error(f"Analysis generation error: {e}")
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return "Error generating analysis."
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def format_results(self, results: List[Dict],
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"""Format
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output += "-------\n\n"
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# Format Raindrop results
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if
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output += "🔍 Bookmarked Sources
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for
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created_date = item['created'][:10]
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output += f" Created: {created_date}\n"
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output += "\n"
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# Format Google results
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if google_results:
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output += "🌐 Web Sources
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for
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output += f"{
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output += "\n"
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# Format News results
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if news_results:
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output += "📰 Recent News
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for
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output += f"{
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output += f" Link: {item['url']}\n"
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if item.get('description'):
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output += f" Description: {item['description']}\n"
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if item.get('publishedAt'):
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output += f" Published: {item['publishedAt'][:10]}\n"
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if item.get('source', {}).get('name'):
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output += f"
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return output
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def process_request(self, user_request: str) -> str:
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"""Process the user request with enhanced
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try:
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logger.info(f"Processing request: {user_request}")
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@@ -275,15 +419,16 @@ class RaindropSearchBot:
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google_results = self.get_google_results(search_query)
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news_results = self.get_news_results(search_query)
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# Generate analysis
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# Format and return results
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return self.format_results(
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except Exception as e:
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logger.error(f"Error processing request: {e}", exc_info=True)
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import json
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import os
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import logging
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from typing import Dict, List, Tuple, Optional
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from newspaper import Article
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import markdown
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from datetime import datetime
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from bs4 import BeautifulSoup
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from googlesearch import search
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self.client = OpenAI(api_key=self.openai_api_key)
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self.newsapi = NewsApiClient(api_key=self.newsapi_key)
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def extract_content_from_url(self, url: str) -> Optional[str]:
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"""Extract main content from a URL using newspaper3k."""
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try:
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article = Article(url)
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article.download()
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time.sleep(1) # Polite delay between requests
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article.parse()
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# Combine title and text
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content = f"{article.title}\n\n{article.text}"
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return content if content.strip() else None
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except Exception as e:
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logger.error(f"Error extracting content from {url}: {e}")
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return None
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def get_content_and_summary(self, item: Dict, source_type: str) -> Dict:
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"""Get content and generate summary for a single item."""
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try:
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# Get URL based on source type
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url = item.get('link') or item.get('url')
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if not url:
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return item
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# For Raindrop items, use existing excerpt if available
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if source_type == 'raindrop' and item.get('excerpt'):
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content = item['excerpt']
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else:
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content = self.extract_content_from_url(url)
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if not content:
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return item
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# Generate summary focused on the query topic
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try:
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prompt = f"""
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Analyze this content and provide a detailed summary focusing on key points relevant
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to our topic. Include specific details, data, and quotes if relevant.
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Content: {content[:4000]} # Limit content length for token constraints
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Provide a concise but detailed summary in 2-3 paragraphs.
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"""
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response = self.client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[{"role": "user", "content": prompt}],
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temperature=0.3,
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max_tokens=300
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)
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item['detailed_summary'] = response.choices[0].message.content
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except Exception as e:
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logger.error(f"Error generating summary: {e}")
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item['detailed_summary'] = "Summary generation failed."
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return item
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except Exception as e:
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logger.error(f"Error processing item: {e}")
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return item
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def get_google_results(self, query: str, num_results: int = 5) -> List[Dict]:
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"""Get Google search results using googlesearch-python."""
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try:
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logger.error(f"Analysis generation error: {e}")
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return "Error generating analysis."
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def format_results(self, results: Tuple[List[Dict], List[Dict], List[Dict]],
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essay: str) -> str:
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"""Format the essay and results with detailed summaries."""
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raindrop_results, google_results, news_results = results
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output = f"{essay}\n\n"
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output += "---\n\n"
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output += "# References and Detailed Summaries\n\n"
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ref_counter = 1
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# Format Raindrop results
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if raindrop_results:
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output += "## 🔍 Bookmarked Sources\n\n"
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for item in raindrop_results:
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output += f"### [{ref_counter}] {item.get('title', 'No Title')}\n"
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output += f"**Link**: {item.get('link')}\n"
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if item.get('tags'):
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output += f"**Tags**: {', '.join(item['tags'])}\n"
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if item.get('created'):
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output += f"**Created**: {item['created'][:10]}\n"
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output += "\n**Summary**:\n"
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output += f"{item.get('detailed_summary', 'No summary available.')}\n\n"
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ref_counter += 1
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# Format Google results
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if google_results:
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output += "## 🌐 Web Sources\n\n"
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for item in google_results:
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output += f"### [{ref_counter}] {item.get('title', 'No Title')}\n"
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output += f"**Link**: {item.get('link')}\n"
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output += "\n**Summary**:\n"
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output += f"{item.get('detailed_summary', 'No summary available.')}\n\n"
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ref_counter += 1
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# Format News results
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if news_results:
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output += "## 📰 Recent News\n\n"
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for item in news_results:
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output += f"### [{ref_counter}] {item.get('title', 'No Title')}\n"
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output += f"**Link**: {item.get('url')}\n"
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if item.get('source', {}).get('name'):
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output += f"**Source**: {item['source']['name']}\n"
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if item.get('publishedAt'):
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output += f"**Published**: {item['publishedAt'][:10]}\n"
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output += "\n**Summary**:\n"
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output += f"{item.get('detailed_summary', 'No summary available.')}\n\n"
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ref_counter += 1
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return output
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def process_all_results(self, raindrop_results: List[Dict],
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google_results: List[Dict],
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news_results: List[Dict]) -> Tuple[List[Dict], List[Dict], List[Dict]]:
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"""Process and enrich all results with content and summaries."""
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processed_raindrop = []
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for item in raindrop_results:
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processed_item = self.get_content_and_summary(item, 'raindrop')
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if processed_item.get('detailed_summary'):
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processed_raindrop.append(processed_item)
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processed_google = []
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for item in google_results:
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processed_item = self.get_content_and_summary(item, 'google')
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if processed_item.get('detailed_summary'):
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processed_google.append(processed_item)
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processed_news = []
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for item in news_results:
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processed_item = self.get_content_and_summary(item, 'news')
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if processed_item.get('detailed_summary'):
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processed_news.append(processed_item)
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return processed_raindrop, processed_google, processed_news
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def generate_essay_response(self, results: Tuple[List[Dict], List[Dict], List[Dict]],
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user_query: str) -> str:
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"""Generate a structured essay-style response with references."""
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raindrop_results, google_results, news_results = results
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# Collect all content for analysis
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all_content = ""
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reference_map = {}
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ref_counter = 1
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for source_list in [raindrop_results, google_results, news_results]:
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for item in source_list:
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if item.get('detailed_summary'):
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all_content += f"\n{item['detailed_summary']}\n"
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reference_map[item['link']] = ref_counter
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ref_counter += 1
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try:
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prompt = f"""
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Create a comprehensive essay-style analysis about: {user_query}
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Use this content as your source material:
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{all_content}
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Requirements:
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1. Structure the response in clear sections with markdown headers
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2. Include an introduction and conclusion
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3. Use reference numbers [n] to cite sources
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4. Make connections between different sources
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5. Highlight key findings and trends
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6. Address any contradictions or gaps
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7. Use markdown formatting for better readability
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Format the response as a proper academic essay with sections.
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"""
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response = self.client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[{"role": "user", "content": prompt}],
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temperature=0.5,
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max_tokens=1500
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)
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essay = response.choices[0].message.content
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# Replace reference placeholders with actual reference numbers
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for url, ref_num in reference_map.items():
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essay = essay.replace(f'[URL:{url}]', f'[{ref_num}]')
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return essay
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except Exception as e:
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logger.error(f"Error generating essay: {e}")
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return "Error generating analysis."
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def process_request(self, user_request: str) -> str:
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"""Process the user request with enhanced content collection and analysis."""
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try:
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logger.info(f"Processing request: {user_request}")
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google_results = self.get_google_results(search_query)
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news_results = self.get_news_results(search_query)
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# Process all results to get content and summaries
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processed_results = self.process_all_results(
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raindrop_results, google_results, news_results
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)
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# Generate essay-style analysis
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essay = self.generate_essay_response(processed_results, user_request)
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# Format and return results
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return self.format_results(processed_results, essay)
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except Exception as e:
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logger.error(f"Error processing request: {e}", exc_info=True)
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