diff --git a/README.md b/README.md index 4c70d53..f279e5a 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,16 @@ # Web Crawler -A minimal, real-time web search CLI that searches the internet for you. Enter a query and get search results as JSON (title, url, published_date), sorted by recency. +A minimal, real-time web search CLI that searches the internet for you. Enter a query and get search results as JSON (title, url, published_date), sorted by recency. Now with **LLM-powered content summarization** using GPT-4o-mini! -Screenshot 2025-08-25 at 12 31 22 PM +Screenshot 2025-08-25 at 12 31 22 PM +## Features + +- 🔍 **Real-time web search** across multiple sources +- 📰 **Content extraction** from JavaScript-heavy pages using Playwright +- 🤖 **High-quality LLM summarization** using GPT-4o-mini (one-shot processing) +- ⚡ **Fast and efficient** with caching and rate limiting +- 🎯 **Production-ready** with robust error handling ## Setup **Prerequisites**: Python 3.12+ and [uv](https://docs.astral.sh/uv/) @@ -16,6 +23,30 @@ git clone https://github.com/financial-datasets/web-crawler.git cd web-crawler ``` +### LLM Configuration (Optional) + +To enable content summarization, you'll need an LLM API key: + +1. **Copy the example config:** + ```bash + cp config.env.example .env + ``` + +2. **Edit `.env` and add your API key:** + ```bash + # For OpenAI (default) + OPENAI_API_KEY=your_actual_api_key_here + + # Or for Anthropic + # ANTHROPIC_API_KEY=your_actual_api_key_here + # LLM_PROVIDER=anthropic + ``` + +3. **Load the environment variables:** + ```bash + source .env + ``` + ## How to Run ```bash # From the repo root, run: @@ -23,12 +54,63 @@ uv run web-crawler ``` - When prompted, enter your search (e.g., "AAPL latest earnings transcript"). -- Results print as JSON. Enter another query to continue. +- If you have an LLM API key configured, you'll be asked if you want summaries. +- Results print as JSON with optional summaries. Enter another query to continue. - Quit with `q`, `quit`, `exit`, or press Ctrl+C. +### Example Output with Summaries + +```json +{ + "query": "AAPL latest earnings transcript", + "summaries_generated": true, + "results": [ + { + "title": "Apple Q4 2024 Earnings Call Transcript", + "url": "https://example.com/apple-earnings", + "published_date": "2024-10-28T20:00:00", + "summary": "Apple reported strong Q4 2024 results with revenue of $89.5 billion, up 8% year-over-year. iPhone sales grew 6% to $43.8 billion, while services revenue increased 16% to $22.3 billion. The company highlighted strong performance in emerging markets and continued growth in its services ecosystem.", + "content_length": 15420 + } + ] +} +``` + ## Roadmap We'd love to get help on: +- [x] **Summarizing parsed content with LLMs** ✅ - [ ] Parsing content from JavaScript-heavy pages (e.g. MSN, Bloomberg, etc.) -- [ ] Summarizing parsed content with LLMs - [ ] Adding more sources (Bing, Reddit, etc.) - [ ] Parallelization for faster queries + +## Architecture + +The summarization feature works as follows: + +1. **Search**: Query multiple web sources simultaneously +2. **Extract**: Use Playwright to extract readable content from URLs +3. **Summarize**: Send entire content to GPT-4o-mini via litellm for high-quality summaries +4. **Return**: Enhanced search results with AI-generated summaries + +### Key Components + +- **`ContentSummarizer`**: Core LLM integration using litellm with GPT-4o-mini +- **`SummarizationService`**: Orchestrates content extraction and summarization +- **`PageParser`**: Extracts readable content from web pages +- **`SearchEngine`**: Integrates search and summarization workflows + +### Supported LLM Providers + +- **OpenAI**: GPT-4o-mini (default), GPT-4, GPT-3.5-turbo +- **Anthropic**: Claude-3-Haiku, Claude-3-Sonnet +- **Azure OpenAI**: GPT-4o-mini, GPT-4, GPT-3.5-turbo +- **Local Models**: Via litellm's local model support + +## Production Considerations + +- **Rate Limiting**: Built-in semaphore-based concurrency control +- **Error Handling**: Graceful degradation when summarization fails +- **Caching**: 15-minute cache for search results +- **Timeout Management**: 60-second timeout for LLM calls +- **Content Processing**: One-shot summarization with smart content truncation (50K char limit) +- **Model Selection**: GPT-4o-mini for optimal quality/speed balance diff --git a/pyproject.toml b/pyproject.toml index 53b17ae..cc0c415 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,6 +14,7 @@ dependencies = [ "googlenewsdecoder>=0.1.7", "playwright>=1.54.0", "requests>=2.32.4", + "litellm>=1.0.0", ] [project.scripts] diff --git a/src/main.py b/src/main.py index 280789e..7adee07 100644 --- a/src/main.py +++ b/src/main.py @@ -3,11 +3,12 @@ import contextlib from .search.engine import SearchEngine +from .summarizer.service import SummarizationService from .utils import spinner # Example usage -async def search(query: str): +async def search(query: str, include_summaries: bool = False, max_summaries: int = 5): async with SearchEngine() as search_engine: spinner_task = asyncio.create_task(spinner("Searching the web...")) try: @@ -17,6 +18,38 @@ async def search(query: str): with contextlib.suppress(asyncio.CancelledError): await spinner_task print() + + # If user wants summaries, process them + if include_summaries and results.get("results"): + print("🤖 Generating AI summaries...") + spinner_task = asyncio.create_task(spinner("Summarizing content...")) + + try: + # Convert search results to format expected by SummarizationService + search_results = [] + for result in results["results"]: + search_results.append({ + "title": result["title"], + "url": result["url"], + "published_date": result["published_date"] + }) + + # Create summarization service and process results + summarization_service = SummarizationService() + summarized_results = await summarization_service.summarize_search_results( + search_results, + max_summaries=max_summaries + ) + + # Update results with summaries + results["results"] = summarized_results + + finally: + spinner_task.cancel() + with contextlib.suppress(asyncio.CancelledError): + await spinner_task + print() + print("Search Results:") print(json.dumps(results, indent=2, default=str)) @@ -32,7 +65,18 @@ def main(): if query.lower() in {"q", "quit", "exit"}: print("Goodbye.") return - asyncio.run(search(query)) + + # Ask user if they want summaries + want_summaries = input("Include AI summaries? (y/n): ").strip().lower() + include_summaries = want_summaries in {"y", "yes"} + if include_summaries: + max_summaries = input("Enter maximum number of summaries: ").strip() + if max_summaries: + max_summaries = int(max_summaries) + else: + max_summaries = 5 + + asyncio.run(search(query, include_summaries, max_summaries)) except KeyboardInterrupt: print() # graceful newline on Ctrl+C diff --git a/src/search/searcher.py b/src/search/searcher.py new file mode 100644 index 0000000..e9d4480 --- /dev/null +++ b/src/search/searcher.py @@ -0,0 +1,291 @@ +import asyncio +import aiohttp +import re +from datetime import datetime +from pydantic import BaseModel +from typing import List, Dict, Optional + + +class SearchResult(BaseModel): + title: str + url: str + published_date: Optional[datetime] = None + + +class WebSearcher: + def __init__(self): + self.session = None + # Rotate user agents to avoid detection + self.user_agents = [ + 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', + 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', + 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:120.0) Gecko/20100101 Firefox/120.0', + 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.0 Safari/605.1.15' + ] + self.current_ua_index = 0 + + # Simplified site configurations for 3 sources only + self.site_configs = { + 'news.google.com': { + 'search_url': 'https://news.google.com/rss/search?q={query}&hl=en-US&gl=US&ceid=US:en', + 'api_based': False, + 'method': 'GET', + 'is_rss': True + } + } + + async def __aenter__(self): + # Get rotating headers + headers = self.get_headers() + # Add random delay and timeout + timeout = aiohttp.ClientTimeout(total=30, connect=10) + connector = aiohttp.TCPConnector(limit=50, limit_per_host=10) + self.session = aiohttp.ClientSession(headers=headers, timeout=timeout, connector=connector) + return self + + async def __aexit__(self, exc_type, exc_val, exc_tb): + if self.session: + await self.session.close() + + def get_headers(self): + """Get headers with rotating user agent""" + ua = self.user_agents[self.current_ua_index] + self.current_ua_index = (self.current_ua_index + 1) % len(self.user_agents) + + return { + 'User-Agent': ua, + 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8', + 'Accept-Language': 'en-US,en;q=0.9', + 'Accept-Encoding': 'gzip, deflate, br', + 'Connection': 'keep-alive', + 'Upgrade-Insecure-Requests': '1', + 'Sec-Fetch-Dest': 'document', + 'Sec-Fetch-Mode': 'navigate', + 'Sec-Fetch-Site': 'none', + 'Cache-Control': 'max-age=0', + } + + async def search_multiple_sources(self, query: str, max_results_per_source: int = 5, debug: bool = True) -> List[SearchResult]: + """Search across multiple sources simultaneously""" + tasks = [] + for domain in self.site_configs.keys(): + tasks.append(self.search_single_source(domain, query, max_results_per_source)) + + results = await asyncio.gather(*tasks, return_exceptions=True) + + # Flatten and filter results + all_results = [] + for i, result in enumerate(results): + domain = list(self.site_configs.keys())[i] + if isinstance(result, list): + if debug: + print(f"✓ {domain}: {len(result)} results") + all_results.extend(result) + elif isinstance(result, Exception): + if debug: + print(f"✗ {domain}: Error - {str(result)}") + else: + if debug: + print(f"✗ {domain}: No results") + + # Sort by recency + all_results.sort(key=lambda x: (x.published_date or datetime.min), reverse=True) + + if debug: + print(f"Total results found: {len(all_results)}") + + return all_results + + async def search_single_source(self, domain: str, query: str, max_results: int = 5) -> List[SearchResult]: + """Search a single source for relevant content""" + if domain not in self.site_configs: + return [] + + config = self.site_configs[domain] + + try: + return await self.search_api_or_rss_based(domain, query, config, max_results) + except Exception as e: + print(f"Error searching {domain}: {str(e)}") + return [] + + async def search_api_or_rss_based(self, domain: str, query: str, config: Dict, max_results: int) -> List[SearchResult]: + """Handle API-based and RSS-based searches""" + search_url = config['search_url'].format(query=query.replace(' ', '%20')) + + # Add delay to avoid rate limiting + await asyncio.sleep(0.5) + + try: + async with self.session.get(search_url) as response: + if response.status != 200: + print(f"HTTP {response.status} from {domain}") + return [] + + results = [] + + # Handle RSS feeds + xml_content = await response.text() + results = self.parse_rss_content(xml_content, query, domain, config, max_results) + + # Resolve Google News URLs to get original article URLs + if domain == 'news.google.com': + resolved_urls = await asyncio.gather( + *(self.resolve_google_news_url(r.url) for r in results) + ) + resolved_results = [] + for r, resolved_url in zip(results, resolved_urls): + resolved_results.append(SearchResult( + title=r.title, + url=resolved_url, + published_date=r.published_date, + )) + results = resolved_results + + return results + + except asyncio.TimeoutError: + print(f"Timeout when searching {domain}") + return [] + except Exception as e: + print(f"Exception when searching {domain}: {str(e)}") + return [] + + async def resolve_google_news_url(self, google_url: str) -> str: + """Resolve the original article URL from a Google News redirect URL""" + if not google_url or 'news.google.com' not in google_url: + return google_url + + try: + from googlenewsdecoder import gnewsdecoder + + # Offload synchronous decoder to a thread to avoid blocking event loop + result = await asyncio.to_thread(gnewsdecoder, google_url, interval=1) + + if result.get("status"): + return result["decoded_url"] + else: + return google_url + + except Exception as e: + print(f"Error resolving Google News URL: {str(e)}") + # Fall back to original URL if decoding fails + return google_url + + def parse_rss_content(self, xml_content: str, query: str, domain: str, config: Dict, max_results: int) -> List[SearchResult]: + """Parse RSS feed content""" + try: + from xml.etree import ElementTree as ET + root = ET.fromstring(xml_content) + results = [] + + # Find all item elements + items = root.findall('.//item')[:max_results * 2] # Get extra in case we need to filter + + for item in items: + title_elem = item.find('title') + link_elem = item.find('link') + desc_elem = item.find('description') + date_elem = item.find('pubDate') + + title = title_elem.text if title_elem is not None else "No title" + url = link_elem.text if link_elem is not None else "" + description = desc_elem.text if desc_elem is not None else "No description" + pub_date = date_elem.text if date_elem is not None else "" + + + + if title and url: + result = SearchResult( + title=self.clean_text(title), + url=url, # Will be resolved later in async context + published_date=self.parse_rss_date(pub_date), + ) + results.append(result) + + if len(results) >= max_results: + break + + return results + + except ET.ParseError as e: + print(f"XML parsing error for {domain}: {str(e)}") + return [] + + def parse_rss_date(self, date_str: str) -> Optional[datetime]: + """Parse RSS date formats""" + if not date_str: + return None + + # Common RSS date format: "Wed, 02 Oct 2024 14:30:00 GMT" + try: + # Remove timezone info and parse + date_str = date_str.replace(' GMT', '').replace(' +0000', '') + return datetime.strptime(date_str, '%a, %d %b %Y %H:%M:%S') + except: + return self.parse_date(date_str) + + def clean_text(self, text: str) -> str: + """Clean text by removing HTML entities, unicode, and extra whitespace""" + if not text: + return text + + # Remove HTML tags if any + text = re.sub(r'<[^>]+>', '', text) + + # Remove HTML entities + import html + text = html.unescape(text) + + # Replace common unicode characters + unicode_replacements = { + '\u2018': "'", # Left single quotation mark + '\u2019': "'", # Right single quotation mark + '\u201c': '"', # Left double quotation mark + '\u201d': '"', # Right double quotation mark + '\u2013': '-', # En dash + '\u2014': '-', # Em dash + '\u2026': '...', # Horizontal ellipsis + '\u00a0': ' ', # Non-breaking space + '\u00ae': '(R)', # Registered trademark + '\u2122': '(TM)', # Trademark + } + + for unicode_char, replacement in unicode_replacements.items(): + text = text.replace(unicode_char, replacement) + + # Remove any remaining non-ASCII characters + text = text.encode('ascii', 'ignore').decode('ascii') + + # Remove extra whitespace + text = ' '.join(text.split()) + + return text + + def parse_date(self, date_str: str) -> Optional[datetime]: + """Parse various date formats""" + if not date_str: + return None + + # Common date patterns + patterns = [ + r'(\d{4}-\d{2}-\d{2})', # YYYY-MM-DD + r'(\d{1,2}/\d{1,2}/\d{4})', # MM/DD/YYYY + r'(\w+ \d{1,2}, \d{4})', # Month DD, YYYY + ] + + for pattern in patterns: + match = re.search(pattern, date_str) + if match: + try: + date_part = match.group(1) + # Try different parsing approaches + for fmt in ['%Y-%m-%d', '%m/%d/%Y', '%B %d, %Y']: + try: + return datetime.strptime(date_part, fmt) + except ValueError: + continue + except: + pass + + return None \ No newline at end of file diff --git a/src/summarizer/__init__.py b/src/summarizer/__init__.py new file mode 100644 index 0000000..01eb703 --- /dev/null +++ b/src/summarizer/__init__.py @@ -0,0 +1,5 @@ +"""Summarizer module for web crawler.""" + +from .engine import ContentSummarizer, SummaryConfig, SummaryLength + +__all__ = ["ContentSummarizer", "SummaryConfig", "SummaryLength"] diff --git a/src/summarizer/engine.py b/src/summarizer/engine.py new file mode 100644 index 0000000..710078c --- /dev/null +++ b/src/summarizer/engine.py @@ -0,0 +1,169 @@ +"""LLM-powered content summarization engine using litellm abstraction.""" + +import asyncio +import os +import logging +from typing import Optional, Dict, List, Literal +from dataclasses import dataclass +from enum import Enum +import litellm +from litellm import completion + +# Configure logging - reduce verbosity +logging.basicConfig(level=logging.WARNING) +logger = logging.getLogger(__name__) + +# Reduce litellm logging verbosity +litellm.set_verbose = False +litellm.logging_level = logging.WARNING + + +class SummaryLength(Enum): + """Summary length options.""" + SHORT = "short" # 1-2 sentences + MEDIUM = "medium" # 1 paragraph + LONG = "long" # 2-3 paragraphs + + +@dataclass +class SummaryConfig: + """Configuration for summarization.""" + provider: str = "openai" + model: str = "gpt-4o-mini" # Better quality, more efficient + max_tokens: int = 4096 # Increased for better summaries + temperature: float = 0.3 + summary_length: SummaryLength = SummaryLength.MEDIUM + max_content_length: int = 51200 # Maximum content length to process + + +class ContentSummarizer: + """Robust content summarization using litellm.""" + + def __init__(self, config: Optional[SummaryConfig] = None): + self.config = config or SummaryConfig() + self._validate_environment() + self._setup_litellm() + + def _validate_environment(self): + """Validate that required environment variables are set.""" + provider = self.config.provider.lower() + if provider == "openai": + if not os.getenv("OPENAI_API_KEY"): + raise ValueError("OPENAI_API_KEY environment variable is required for OpenAI provider") + elif provider == "anthropic": + if not os.getenv("ANTHROPIC_API_KEY"): + raise ValueError("ANTHROPIC_API_KEY environment variable is required for Anthropic provider") + elif provider == "azure": + if not os.getenv("AZURE_API_KEY"): + raise ValueError("AZURE_API_KEY environment variable is required for Azure provider") + elif provider == "local": + logger.info("Using local model - no API key required") + else: + # For other providers, check if they have a custom API key + custom_key = os.getenv(f"{provider.upper()}_API_KEY") + if not custom_key: + logger.warning(f"No API key found for {provider} provider") + + def _setup_litellm(self): + """Configure litellm with provider settings.""" + try: + # Set provider-specific configurations + if self.config.provider == "openai": + litellm.api_key = os.getenv("OPENAI_API_KEY") + elif self.config.provider == "anthropic": + litellm.api_key = os.getenv("ANTHROPIC_API_KEY") + elif self.config.provider == "azure": + litellm.api_key = os.getenv("AZURE_API_KEY") + litellm.api_base = os.getenv("AZURE_API_BASE") + litellm.api_version = os.getenv("AZURE_API_VERSION", "2024-02-15-preview") + + # Only log essential setup info + print(f"✓ Using {self.config.provider} with {self.config.model}") + except Exception as e: + logger.error(f"Failed to configure litellm: {e}") + raise + + async def summarize_content( + self, + content: str, + title: Optional[str] = None, + url: Optional[str] = None + ) -> Optional[str]: + """Summarize content using LLM in one shot.""" + if not content or not content.strip(): + logger.warning("Empty content provided for summarization") + return None + + # Truncate content if it's too long to avoid token limits + if len(content) > self.config.max_content_length: + logger.info(f"Content too long ({len(content)} chars), truncating to {self.config.max_content_length}") + content = content[:self.config.max_content_length] + "\n\n[Content truncated for summarization]" + + try: + return await self._summarize_content_directly(content, title, url) + except Exception as e: + logger.error(f"Summarization failed: {e}") + return None + + async def _summarize_content_directly( + self, + content: str, + title: Optional[str] = None, + url: Optional[str] = None + ) -> str: + """Summarize content directly without chunking.""" + prompt = self._build_summary_prompt(content, title, url) + + try: + response = await asyncio.to_thread( + completion, + model=self.config.model, + messages=[{"role": "user", "content": prompt}], + max_tokens=self.config.max_tokens, + temperature=self.config.temperature, + timeout=60 # Increased timeout for longer content + ) + + summary = response.choices[0].message.content.strip() + if summary: + return summary + else: + raise ValueError("Empty response from LLM") + + except Exception as e: + logger.error(f"LLM summarization failed: {e}") + raise + + def _build_summary_prompt( + self, + content: str, + title: Optional[str] = None, + url: Optional[str] = None + ) -> str: + """Build a comprehensive prompt for summarization.""" + length_instructions = { + SummaryLength.SHORT: "Provide a concise summary in 1-2 sentences.", + SummaryLength.MEDIUM: "Provide a comprehensive summary in 1-2 paragraphs.", + SummaryLength.LONG: "Provide a detailed summary in 2-3 paragraphs." + } + + prompt = f"""Please summarize the following content. {length_instructions[self.config.summary_length]} + +Focus on: +- Key facts and main points +- Important insights or conclusions +- Actionable information if present +- Most relevant details for the reader + +Content to summarize: +""" + + if title: + prompt += f"Title: {title}\n\n" + if url: + prompt += f"Source: {url}\n\n" + + prompt += f"Content:\n{content}\n\nSummary:" + + return prompt + diff --git a/src/summarizer/service.py b/src/summarizer/service.py new file mode 100644 index 0000000..e0726a7 --- /dev/null +++ b/src/summarizer/service.py @@ -0,0 +1,177 @@ +"""Summarization service for web crawler search results.""" + +import asyncio +import logging +from typing import List, Dict, Optional +from .engine import ContentSummarizer, SummaryConfig, SummaryLength +from ..crawler.parser import PageParser + +logger = logging.getLogger(__name__) + + +class SummarizationService: + """Service for summarizing web content from search results.""" + + def __init__(self, config: Optional[SummaryConfig] = None): + self.summarizer = ContentSummarizer(config) + self.parser = PageParser() + + async def summarize_search_results( + self, + search_results: List[Dict], + max_summaries: int = 3, + summary_length: SummaryLength = SummaryLength.MEDIUM + ) -> List[Dict]: + """ + Summarize search results by extracting content and generating summaries. + + Args: + search_results: List of search result dictionaries with 'title', 'url', 'published_date' + max_summaries: Maximum number of results to summarize + summary_length: Length of summaries to generate + + Returns: + List of search results with added 'summary' field + """ + if not search_results: + return [] + + # Limit the number of summaries to avoid excessive API calls + results_to_summarize = search_results[:max_summaries] + + # Create tasks for parallel processing + tasks = [] + for result in results_to_summarize: + task = self._summarize_single_result(result, summary_length) + tasks.append(task) + + # Execute all summarization tasks concurrently with overall timeout + try: + summarized_results = await asyncio.wait_for( + asyncio.gather(*tasks, return_exceptions=True), + timeout=300 # 5 minute overall timeout for all summarization tasks + ) + + # Process results and handle any errors + final_results = [] + for i, result in enumerate(summarized_results): + if isinstance(result, Exception): + logger.warning(f"Failed to summarize result {i}: {result}") + # Keep original result without summary + final_results.append(results_to_summarize[i]) + else: + final_results.append(result) + + # Add remaining results without summaries + final_results.extend(search_results[max_summaries:]) + + return final_results + + except asyncio.TimeoutError: + print(f"⚠️ Summarization service timed out after 5 minutes") + # Return partial results - some may have completed successfully + return search_results + except Exception as e: + logger.error(f"Summarization service failed: {e}") + return search_results + + async def _summarize_single_result( + self, + result: Dict, + summary_length: SummaryLength + ) -> Dict: + """Summarize a single search result.""" + try: + url = result.get('url') + title = result.get('title') + + if not url: + print(f"⚠️ No URL found in result: {result}") + return result + + # Extract content from the URL with timeout + print(f"📄 Extracting content from: {title[:50]}...") + try: + content_data = await asyncio.wait_for( + asyncio.to_thread(self.parser.get_content, url), + timeout=120 # 2 minute timeout for content extraction + ) + except asyncio.TimeoutError: + print(f"⚠️ Content extraction timeout for: {url}") + return result + + if not content_data or not content_data.get('content'): + print(f"⚠️ No content extracted from: {url}") + return result + + content = content_data['content'] + + # Generate summary with timeout + print(f"🤖 Generating summary...") + try: + summary = await asyncio.wait_for( + self.summarizer.summarize_content( + content=content, + title=title, + url=url + ), + timeout=180 # 3 minute timeout for LLM summarization + ) + except asyncio.TimeoutError: + print(f"⚠️ LLM summarization timeout for: {url}") + return result + + if summary: + result['summary'] = summary + result['content_length'] = content_data.get('content_length', 0) + print(f"✅ Summary complete") + else: + print(f"⚠️ Failed to generate summary for: {url}") + + return result + + except Exception as e: + print(f"⚠️ Error summarizing result {result.get('url', 'unknown')}: {e}") + return result + + async def summarize_single_url( + self, + url: str, + title: Optional[str] = None, + summary_length: SummaryLength = SummaryLength.MEDIUM + ) -> Optional[str]: + """ + Summarize content from a single URL. + + Args: + url: URL to summarize + title: Optional title for context + summary_length: Length of summary to generate + + Returns: + Summary text or None if failed + """ + try: + # Extract content + content_data = await asyncio.to_thread( + self.parser.get_content, url + ) + + if not content_data or not content_data.get('content'): + logger.warning(f"No content extracted from: {url}") + return None + + content = content_data['content'] + + # Generate summary + summary = await self.summarizer.summarize_content( + content=content, + title=title, + url=url + ) + + return summary + + except Exception as e: + logger.error(f"Error summarizing URL {url}: {e}") + return None diff --git a/tests/test_searcher_integration.py b/tests/test_searcher_integration.py new file mode 100644 index 0000000..0b439a9 --- /dev/null +++ b/tests/test_searcher_integration.py @@ -0,0 +1,45 @@ +import os +import sys +import json +import pathlib +import pytest +import asyncio + +# Ensure src is on sys.path for direct imports when running from repo root +REPO_ROOT = pathlib.Path(__file__).resolve().parents[1] +SRC_DIR = REPO_ROOT / "src" +if str(SRC_DIR) not in sys.path: + sys.path.insert(0, str(SRC_DIR)) + +from search.searcher import WebSearcher, SearchResult + +QUERY = "Apple earnings" + +@pytest.mark.asyncio +async def test_websearcher_search_multiple_sources_real_rss(): + async with WebSearcher() as ws: + results = await ws.search_multiple_sources(QUERY, max_results_per_source=3, debug=False) + + assert isinstance(results, list) + # We may receive zero results in transient network issues, but normally should have some + # Keep a minimal check to be stable across environments + if results: + assert isinstance(results[0], SearchResult) + # Basic fields present + r0 = results[0] + assert isinstance(r0.title, str) + assert isinstance(r0.url, str) + assert isinstance(r0.snippet, str) + assert isinstance(r0.source, str) + +@pytest.mark.asyncio +async def test_websearcher_single_source_google_news_real_rss(): + async with WebSearcher() as ws: + # Directly exercise the configured domain to ensure parsing path works + results = await ws.search_single_source('news.google.com', QUERY, max_results=3) + + assert isinstance(results, list) + if results: + assert all(isinstance(r, SearchResult) for r in results) + # URLs should be strings; after decode they may be external sites + assert all(isinstance(r.url, str) and r.url for r in results) \ No newline at end of file diff --git a/tests/test_summarizer_integration.py b/tests/test_summarizer_integration.py new file mode 100644 index 0000000..3f8fdf7 --- /dev/null +++ b/tests/test_summarizer_integration.py @@ -0,0 +1,177 @@ +"""Integration tests for the summarization feature.""" + +import pytest +import asyncio +from unittest.mock import Mock, patch, AsyncMock +from src.summarizer.engine import ContentSummarizer, SummaryConfig, SummaryLength +from src.summarizer.service import SummarizationService + + +class TestContentSummarizer: + """Test the core summarization engine.""" + + def test_summarizer_initialization(self): + """Test summarizer can be initialized with default config.""" + config = SummaryConfig() + summarizer = ContentSummarizer(config) + assert summarizer.config == config + assert summarizer.config.model == "gpt-4o-mini" + assert summarizer.config.max_tokens == 4096 + + def test_summarizer_initialization_with_custom_config(self): + """Test summarizer can be initialized with custom config.""" + config = SummaryConfig( + provider="anthropic", + model="claude-3-haiku", + max_tokens=1000, + temperature=0.1 + ) + summarizer = ContentSummarizer(config) + assert summarizer.config.provider == "anthropic" + assert summarizer.config.model == "claude-3-haiku" + assert summarizer.config.max_tokens == 1000 + assert summarizer.config.temperature == 0.1 + + def test_content_truncation(self): + """Test content is properly truncated when too long.""" + config = SummaryConfig(max_content_length=100) + summarizer = ContentSummarizer(config) + + # Create content longer than max length + long_content = "This is a test sentence. " * 10 # ~250 characters + + # Mock the summarization method to test truncation + with patch.object(summarizer, '_summarize_content_directly', new_callable=AsyncMock) as mock_summarize: + mock_summarize.return_value = "Test summary" + + # This should trigger truncation + result = asyncio.run(summarizer.summarize_content(long_content)) + + # Check that content was truncated + call_args = mock_summarize.call_args + truncated_content = call_args[0][0] # First argument is content + assert len(truncated_content) <= 100 + assert "[Content truncated for summarization]" in truncated_content + + def test_content_no_truncation(self): + """Test short content is not truncated.""" + config = SummaryConfig(max_content_length=1000) + summarizer = ContentSummarizer(config) + + short_content = "This is a short test." + + with patch.object(summarizer, '_summarize_content_directly', new_callable=AsyncMock) as mock_summarize: + mock_summarize.return_value = "Test summary" + + result = asyncio.run(summarizer.summarize_content(short_content)) + + # Check that content was not truncated + call_args = mock_summarize.call_args + content = call_args[0][0] + assert content == short_content + + def test_prompt_building(self): + """Test summary prompts are built correctly.""" + config = SummaryConfig(summary_length=SummaryLength.MEDIUM) + summarizer = ContentSummarizer(config) + + content = "Test content here." + title = "Test Title" + url = "https://example.com" + + prompt = summarizer._build_summary_prompt(content, title, url) + + assert "Test content here." in prompt + assert "Test Title" in prompt + assert "https://example.com" in prompt + assert "1-2 paragraphs" in prompt + assert "Most relevant details for the reader" in prompt + + +class TestSummarizationService: + """Test the summarization service integration.""" + + @pytest.fixture + def mock_summarizer(self): + """Create a mock summarizer for testing.""" + mock = Mock(spec=ContentSummarizer) + mock.summarize_content = AsyncMock(return_value="Test summary") + return mock + + @pytest.fixture + def mock_parser(self): + """Create a mock parser for testing.""" + mock = Mock() + mock.get_content = Mock(return_value={ + "content": "Test content", + "title": "Test Title", + "content_length": 100 + }) + return mock + + @pytest.mark.asyncio + async def test_service_initialization(self): + """Test service can be initialized.""" + service = SummarizationService() + assert service.summarizer is not None + assert service.parser is not None + + @pytest.mark.asyncio + async def test_summarize_single_url_success(self, mock_summarizer, mock_parser): + """Test successful URL summarization.""" + with patch('src.summarizer.service.PageParser', return_value=mock_parser): + with patch('src.summarizer.service.ContentSummarizer', return_value=mock_summarizer): + service = SummarizationService() + + result = await service.summarize_single_url( + "https://example.com", + "Test Title" + ) + + assert result == "Test summary" + mock_parser.get_content.assert_called_once_with("https://example.com") + mock_summarizer.summarize_content.assert_called_once() + + @pytest.mark.asyncio + async def test_summarize_single_url_no_content(self, mock_summarizer, mock_parser): + """Test URL summarization when no content is extracted.""" + mock_parser.get_content.return_value = {"content": "", "title": "Test"} + + with patch('src.summarizer.service.PageParser', return_value=mock_parser): + with patch('src.summarizer.service.ContentSummarizer', return_value=mock_summarizer): + service = SummarizationService() + + result = await service.summarize_single_url("https://example.com") + + assert result is None + mock_summarizer.summarize_content.assert_not_called() + + @pytest.mark.asyncio + async def test_summarize_search_results(self, mock_summarizer, mock_parser): + """Test search results summarization.""" + search_results = [ + {"title": "Result 1", "url": "https://example1.com"}, + {"title": "Result 2", "url": "https://example2.com"}, + {"title": "Result 3", "url": "https://example3.com"} + ] + + with patch('src.summarizer.service.PageParser', return_value=mock_parser): + with patch('src.summarizer.service.ContentSummarizer', return_value=mock_summarizer): + service = SummarizationService() + + results = await service.summarize_search_results( + search_results, + max_summaries=2 + ) + + # Should have 2 summarized results and 1 without summary + assert len(results) == 3 + assert "summary" in results[0] + assert "summary" in results[1] + assert "summary" not in results[2] + assert results[0]["summary"] == "Test summary" + assert results[1]["summary"] == "Test summary" + + +if __name__ == "__main__": + pytest.main([__file__]) diff --git a/uv.lock b/uv.lock index 4bb48f1..069e999 100644 --- a/uv.lock +++ b/uv.lock @@ -1,14 +1,14 @@ version = 1 -revision = 1 +revision = 3 requires-python = ">=3.12" [[package]] name = "aiohappyeyeballs" version = "2.6.1" source = { registry = 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