404 lines
16 KiB
Python
404 lines
16 KiB
Python
"""Tavily web search class.
|
|
"""
|
|
|
|
import logging
|
|
import asyncio
|
|
from dataclasses import dataclass
|
|
from typing import Optional
|
|
from tavily import AsyncTavilyClient
|
|
from modules.shared.configuration import APP_CONFIG
|
|
from modules.shared.timezoneUtils import get_utc_timestamp
|
|
from modules.datamodels.datamodelWeb import (
|
|
WebSearchActionResult,
|
|
WebSearchActionDocument,
|
|
WebSearchDocumentData,
|
|
WebSearchResultItem,
|
|
WebCrawlActionResult,
|
|
WebCrawlActionDocument,
|
|
WebCrawlDocumentData,
|
|
WebCrawlResultItem,
|
|
WebScrapeActionResult,
|
|
WebScrapeActionDocument,
|
|
WebSearchDocumentData as WebScrapeDocumentData,
|
|
WebScrapeResultItem,
|
|
)
|
|
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
@dataclass
|
|
class WebSearchResult:
|
|
title: str
|
|
url: str
|
|
raw_content: Optional[str] = None
|
|
|
|
@dataclass
|
|
class WebCrawlResult:
|
|
url: str
|
|
content: str
|
|
|
|
@dataclass
|
|
class ConnectorWeb:
|
|
client: AsyncTavilyClient = None
|
|
# Cached settings loaded at initialization time
|
|
crawl_timeout: int = 30
|
|
crawl_max_retries: int = 3
|
|
crawl_retry_delay: int = 2
|
|
# Cached web search constraints (camelCase per project style)
|
|
webSearchMinResults: int = 1
|
|
webSearchMaxResults: int = 20
|
|
|
|
@classmethod
|
|
async def create(cls):
|
|
api_key = APP_CONFIG.get("Connector_WebTavily_API_KEY_SECRET")
|
|
if not api_key:
|
|
raise ValueError("Tavily API key not configured. Please set Connector_WebTavily_API_KEY_SECRET in config.ini")
|
|
# Load and cache web crawl related configuration
|
|
crawl_timeout = int(APP_CONFIG.get("Web_Crawl_TIMEOUT", "30"))
|
|
crawl_max_retries = int(APP_CONFIG.get("Web_Crawl_MAX_RETRIES", "3"))
|
|
crawl_retry_delay = int(APP_CONFIG.get("Web_Crawl_RETRY_DELAY", "2"))
|
|
return cls(
|
|
client=AsyncTavilyClient(api_key=api_key),
|
|
crawl_timeout=crawl_timeout,
|
|
crawl_max_retries=crawl_max_retries,
|
|
crawl_retry_delay=crawl_retry_delay,
|
|
webSearchMinResults=int(APP_CONFIG.get("Web_Search_MIN_RESULTS", "1")),
|
|
webSearchMaxResults=int(APP_CONFIG.get("Web_Search_MAX_RESULTS", "20")),
|
|
)
|
|
|
|
# Standardized methods returning ActionResults for the interface to consume
|
|
async def search(self, request) -> "WebSearchActionResult":
|
|
try:
|
|
raw_results = await self._search(
|
|
query=request.query,
|
|
max_results=request.max_results,
|
|
search_depth=request.search_depth,
|
|
time_range=request.time_range,
|
|
topic=request.topic,
|
|
include_domains=request.include_domains,
|
|
exclude_domains=request.exclude_domains,
|
|
language=request.language,
|
|
include_answer=request.include_answer,
|
|
include_raw_content=request.include_raw_content,
|
|
)
|
|
except Exception as e:
|
|
return WebSearchActionResult(success=False, error=str(e))
|
|
|
|
result_items = [
|
|
WebSearchResultItem(
|
|
title=result.title,
|
|
url=result.url,
|
|
raw_content=getattr(result, 'raw_content', None)
|
|
)
|
|
for result in raw_results
|
|
]
|
|
|
|
document_data = WebSearchDocumentData(
|
|
query=request.query,
|
|
results=result_items,
|
|
total_count=len(result_items),
|
|
)
|
|
|
|
document = WebSearchActionDocument(
|
|
documentName=f"web_search_results_{get_utc_timestamp()}.json",
|
|
documentData=document_data,
|
|
mimeType="application/json",
|
|
)
|
|
|
|
return WebSearchActionResult(
|
|
success=True, documents=[document], resultLabel="web_search_results"
|
|
)
|
|
|
|
async def crawl(self, request) -> "WebCrawlActionResult":
|
|
try:
|
|
raw_results = await self._crawl(
|
|
[str(u) for u in request.urls],
|
|
extract_depth=request.extract_depth,
|
|
format=request.format,
|
|
)
|
|
except Exception as e:
|
|
return WebCrawlActionResult(success=False, error=str(e))
|
|
|
|
result_items = [
|
|
WebCrawlResultItem(url=result.url, content=result.content)
|
|
for result in raw_results
|
|
]
|
|
|
|
document_data = WebCrawlDocumentData(
|
|
urls=[str(u) for u in request.urls],
|
|
results=result_items,
|
|
total_count=len(result_items),
|
|
)
|
|
|
|
document = WebCrawlActionDocument(
|
|
documentName=f"web_crawl_results_{get_utc_timestamp()}.json",
|
|
documentData=document_data,
|
|
mimeType="application/json",
|
|
)
|
|
|
|
return WebCrawlActionResult(
|
|
success=True, documents=[document], resultLabel="web_crawl_results"
|
|
)
|
|
|
|
async def scrape(self, request) -> "WebScrapeActionResult":
|
|
try:
|
|
search_results = await self._search(
|
|
query=request.query,
|
|
max_results=request.max_results,
|
|
search_depth=request.search_depth,
|
|
time_range=request.time_range,
|
|
topic=request.topic,
|
|
include_domains=request.include_domains,
|
|
exclude_domains=request.exclude_domains,
|
|
language=request.language,
|
|
include_answer=request.include_answer,
|
|
include_raw_content=request.include_raw_content,
|
|
)
|
|
except Exception as e:
|
|
return WebScrapeActionResult(success=False, error=str(e))
|
|
|
|
try:
|
|
urls = [result.url for result in search_results]
|
|
crawl_results = await self._crawl(
|
|
urls,
|
|
extract_depth=request.extract_depth,
|
|
format=request.format,
|
|
)
|
|
except Exception as e:
|
|
return WebScrapeActionResult(success=False, error=str(e))
|
|
|
|
result_items = [
|
|
WebScrapeResultItem(url=result.url, content=result.content)
|
|
for result in crawl_results
|
|
]
|
|
|
|
document_data = WebScrapeDocumentData(
|
|
query=request.query,
|
|
results=result_items,
|
|
total_count=len(result_items),
|
|
)
|
|
|
|
document = WebScrapeActionDocument(
|
|
documentName=f"web_scrape_results_{get_utc_timestamp()}.json",
|
|
documentData=document_data,
|
|
mimeType="application/json",
|
|
)
|
|
|
|
return WebScrapeActionResult(
|
|
success=True, documents=[document], resultLabel="web_scrape_results"
|
|
)
|
|
|
|
async def _search_urls_raw(self,
|
|
*,
|
|
query: str,
|
|
max_results: int,
|
|
search_depth: str | None = None,
|
|
time_range: str | None = None,
|
|
topic: str | None = None,
|
|
include_domains: list[str] | None = None,
|
|
exclude_domains: list[str] | None = None,
|
|
language: str | None = None,
|
|
include_answer: bool | None = None,
|
|
include_raw_content: bool | None = None,
|
|
) -> list["WebSearchResult"]:
|
|
return await self._search(
|
|
query=query,
|
|
max_results=max_results,
|
|
search_depth=search_depth,
|
|
time_range=time_range,
|
|
topic=topic,
|
|
include_domains=include_domains,
|
|
exclude_domains=exclude_domains,
|
|
language=language,
|
|
include_answer=include_answer,
|
|
include_raw_content=include_raw_content,
|
|
)
|
|
|
|
async def _crawl_urls_raw(self,
|
|
*,
|
|
urls: list[str],
|
|
extract_depth: str | None = None,
|
|
format: str | None = None,
|
|
) -> list["WebCrawlResult"]:
|
|
return await self._crawl(urls, extract_depth=extract_depth, format=format)
|
|
|
|
async def _scrape_raw(self,
|
|
*,
|
|
query: str,
|
|
max_results: int,
|
|
search_depth: str | None = None,
|
|
time_range: str | None = None,
|
|
topic: str | None = None,
|
|
include_domains: list[str] | None = None,
|
|
exclude_domains: list[str] | None = None,
|
|
language: str | None = None,
|
|
include_answer: bool | None = None,
|
|
include_raw_content: bool | None = None,
|
|
extract_depth: str | None = None,
|
|
format: str | None = None,
|
|
) -> list["WebCrawlResult"]:
|
|
search_results = await self._search(
|
|
query=query,
|
|
max_results=max_results,
|
|
search_depth=search_depth,
|
|
time_range=time_range,
|
|
topic=topic,
|
|
include_domains=include_domains,
|
|
exclude_domains=exclude_domains,
|
|
language=language,
|
|
include_answer=include_answer,
|
|
include_raw_content=include_raw_content,
|
|
)
|
|
urls = [result.url for result in search_results]
|
|
return await self._crawl(urls, extract_depth=extract_depth, format=format)
|
|
|
|
def _clean_url(self, url: str) -> str:
|
|
"""Clean URL by removing extra text that might be appended."""
|
|
import re
|
|
# Extract just the URL part, removing any extra text after it
|
|
url_match = re.match(r'(https?://[^\s,]+)', url)
|
|
if url_match:
|
|
return url_match.group(1)
|
|
return url
|
|
|
|
async def _search(
|
|
self,
|
|
query: str,
|
|
max_results: int,
|
|
search_depth: str | None = None,
|
|
time_range: str | None = None,
|
|
topic: str | None = None,
|
|
include_domains: list[str] | None = None,
|
|
exclude_domains: list[str] | None = None,
|
|
language: str | None = None,
|
|
country: str | None = None,
|
|
include_answer: bool | None = None,
|
|
include_raw_content: bool | None = None,
|
|
) -> list[WebSearchResult]:
|
|
"""Calls the Tavily API to perform a web search."""
|
|
# Make sure max_results is within the allowed range (use cached values)
|
|
min_results = self.webSearchMinResults
|
|
max_allowed_results = self.webSearchMaxResults
|
|
if max_results < min_results or max_results > max_allowed_results:
|
|
raise ValueError(f"max_results must be between {min_results} and {max_allowed_results}")
|
|
|
|
# Perform actual API call
|
|
# Build kwargs only for provided options to avoid API rejections
|
|
kwargs: dict = {"query": query, "max_results": max_results}
|
|
if search_depth is not None:
|
|
kwargs["search_depth"] = search_depth
|
|
if time_range is not None:
|
|
kwargs["time_range"] = time_range
|
|
if topic is not None:
|
|
kwargs["topic"] = topic
|
|
if include_domains is not None and len(include_domains) > 0:
|
|
kwargs["include_domains"] = include_domains
|
|
if exclude_domains is not None:
|
|
kwargs["exclude_domains"] = exclude_domains
|
|
if language is not None:
|
|
kwargs["language"] = language
|
|
if country is not None:
|
|
kwargs["country"] = country
|
|
if include_answer is not None:
|
|
kwargs["include_answer"] = include_answer
|
|
if include_raw_content is not None:
|
|
kwargs["include_raw_content"] = include_raw_content
|
|
|
|
logger.debug(f"Tavily.search kwargs: {kwargs}")
|
|
response = await self.client.search(**kwargs)
|
|
|
|
return [
|
|
WebSearchResult(
|
|
title=result["title"],
|
|
url=self._clean_url(result["url"]),
|
|
raw_content=result.get("raw_content")
|
|
)
|
|
for result in response["results"]
|
|
]
|
|
|
|
async def _crawl(
|
|
self,
|
|
urls: list,
|
|
extract_depth: str | None = None,
|
|
format: str | None = None,
|
|
) -> list[WebCrawlResult]:
|
|
"""Calls the Tavily API to extract text content from URLs with retry logic."""
|
|
max_retries = self.crawl_max_retries
|
|
retry_delay = self.crawl_retry_delay
|
|
timeout = self.crawl_timeout
|
|
|
|
logger.debug(f"Starting crawl of {len(urls)} URLs: {urls}")
|
|
logger.debug(f"Crawl settings: extract_depth={extract_depth}, format={format}, timeout={timeout}s")
|
|
|
|
for attempt in range(max_retries + 1):
|
|
try:
|
|
logger.debug(f"Crawl attempt {attempt + 1}/{max_retries + 1}")
|
|
|
|
# Use asyncio.wait_for for timeout
|
|
# Build kwargs for extract
|
|
kwargs_extract: dict = {"urls": urls}
|
|
kwargs_extract["extract_depth"] = extract_depth or "advanced"
|
|
kwargs_extract["format"] = format or "markdown" # Use markdown to get HTML structure
|
|
|
|
logger.debug(f"Sending request to Tavily with kwargs: {kwargs_extract}")
|
|
|
|
response = await asyncio.wait_for(
|
|
self.client.extract(**kwargs_extract),
|
|
timeout=timeout
|
|
)
|
|
|
|
logger.debug(f"Tavily response received: {list(response.keys())}")
|
|
|
|
# Debug: Log what Tavily actually returns
|
|
if "results" in response and response["results"]:
|
|
logger.debug(f"Tavily returned {len(response['results'])} results")
|
|
logger.debug(f"First result keys: {list(response['results'][0].keys())}")
|
|
logger.debug(f"First result has raw_content: {'raw_content' in response['results'][0]}")
|
|
|
|
# Log each result
|
|
for i, result in enumerate(response["results"]):
|
|
logger.debug(f"Result {i+1}: URL={result.get('url', 'N/A')}, content_length={len(result.get('raw_content', result.get('content', '')))}")
|
|
else:
|
|
logger.warning(f"Tavily returned no results in response: {response}")
|
|
|
|
results = [
|
|
WebCrawlResult(
|
|
url=result["url"],
|
|
content=result.get("raw_content", result.get("content", "")) # Try raw_content first, fallback to content
|
|
)
|
|
for result in response["results"]
|
|
]
|
|
|
|
logger.debug(f"Crawl successful: extracted {len(results)} results")
|
|
return results
|
|
|
|
except asyncio.TimeoutError:
|
|
logger.warning(f"Crawl attempt {attempt + 1} timed out after {timeout} seconds for URLs: {urls}")
|
|
if attempt < max_retries:
|
|
logger.info(f"Retrying in {retry_delay} seconds...")
|
|
await asyncio.sleep(retry_delay)
|
|
else:
|
|
raise Exception(f"Crawl failed after {max_retries + 1} attempts due to timeout")
|
|
|
|
except Exception as e:
|
|
logger.warning(f"Crawl attempt {attempt + 1} failed for URLs {urls}: {str(e)}")
|
|
logger.debug(f"Full error details: {type(e).__name__}: {str(e)}")
|
|
|
|
# Check if it's a validation error and log more details
|
|
if "validation" in str(e).lower():
|
|
logger.debug(f"URL validation failed. Checking URL format:")
|
|
for i, url in enumerate(urls):
|
|
logger.debug(f" URL {i+1}: '{url}' (length: {len(url)})")
|
|
# Check for common URL issues
|
|
if ' ' in url:
|
|
logger.debug(f" WARNING: URL contains spaces!")
|
|
if not url.startswith(('http://', 'https://')):
|
|
logger.debug(f" WARNING: URL doesn't start with http/https!")
|
|
if len(url) > 2000:
|
|
logger.debug(f" WARNING: URL is very long ({len(url)} chars)")
|
|
|
|
if attempt < max_retries:
|
|
logger.info(f"Retrying in {retry_delay} seconds...")
|
|
await asyncio.sleep(retry_delay)
|
|
else:
|
|
raise Exception(f"Crawl failed after {max_retries + 1} attempts: {str(e)}")
|