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https://github.com/tiennm99/DocsGPT.git
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rabbit fixes
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31 files changed
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@@ -4,7 +4,7 @@ import os
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import re
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from abc import abstractmethod
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from typing import Any, Dict, List
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from urllib.parse import parse_qsl, urldefrag, urlencode, urlparse
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from urllib.parse import parse_qsl, urlencode, urlparse, urlsplit, urlunsplit
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from docsgpt.parser.schema.base import Document
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from docsgpt.vectorstore.document_class import Document as VectorDocument
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@@ -99,13 +99,44 @@ def url_to_virtual_path(url: str, include_host: bool = False) -> str:
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def spans_multiple_hosts(urls: List[str]) -> bool:
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"""Return whether ``urls`` point at more than one host.
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A URL ``urlparse`` rejects (an unclosed IPv6 bracket, say) is left out:
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it fails validation and is never fetched, so it names no host here.
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Args:
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urls: Page URLs about to be ingested together.
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Returns:
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True when paths alone could collide and need a host prefix.
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"""
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return len({urlparse(u).netloc for u in urls}) > 1
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hosts = set()
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for url in urls:
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try:
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hosts.add(urlparse(url).netloc)
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except ValueError:
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continue
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return len(hosts) > 1
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def normalize_page_url(url: str) -> str:
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"""Return the identity of the page ``url`` names, for deduplication.
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The fragment is dropped (it names a spot on the same page) and the query
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parameters are sorted, as ``_query_segment`` sorts them, so
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``/p?a=1&b=2`` and ``/p?b=2&a=1#top`` are one page. The result is a key
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only; fetch the URL as it was written.
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Args:
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url: Page URL.
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Returns:
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The normalized URL.
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Raises:
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ValueError: If ``urlsplit`` cannot parse ``url``.
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"""
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parts = urlsplit(url)
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query = urlencode(sorted(parse_qsl(parts.query, keep_blank_values=True)))
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return urlunsplit(parts._replace(query=query, fragment=""))
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def dedupe_virtual_paths(documents: List[Document]) -> List[Document]:
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@@ -114,11 +145,13 @@ def dedupe_virtual_paths(documents: List[Document]) -> List[Document]:
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``url_to_virtual_path`` folds some different URLs onto one path (``/a`` and
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``/a.html`` are both ``a.md``), and the worker would then merge those pages
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into one tree entry. Within a path, the pages are ordered by URL (fragment
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dropped): the first keeps the path and each later one gets ``-2``, ``-3``
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and so on before ``.md``, skipping any path another page already has.
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dropped, query parameters sorted; see ``normalize_page_url``): the first
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keeps the path and each later one gets ``-2``, ``-3`` and so on before
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``.md``, skipping any path another page already has.
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Ordering by URL rather than by fetch order keeps the names stable across
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re-syncs of the same pages. Documents for the same URL (one page reached
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via two fragments) are one page and keep one path.
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via two fragments, or with its query parameters in another order) are one
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page and keep one path.
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Args:
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documents: Loaded documents; each ``extra_info`` carries ``source``
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@@ -133,7 +166,7 @@ def dedupe_virtual_paths(documents: List[Document]) -> List[Document]:
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path = info.get("file_path")
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if not path:
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continue
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page = urldefrag(str(info.get("source") or path))[0]
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page = normalize_page_url(str(info.get("source") or path))
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pages_by_path.setdefault(path, {}).setdefault(page, []).append(doc)
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taken = set(pages_by_path)
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@@ -2,7 +2,7 @@ import logging
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from bs4 import BeautifulSoup
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from urllib.parse import urljoin, urlparse
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from docsgpt.parser.remote.base import BaseRemote, dedupe_virtual_paths, url_to_virtual_path
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from docsgpt.parser.remote.base import BaseRemote, dedupe_virtual_paths, normalize_page_url, url_to_virtual_path
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from docsgpt.parser.schema.base import Document
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from docsgpt.core.url_validation import validate_url, SSRFError
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from docsgpt.security.safe_url import pinned_request
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@@ -24,6 +24,8 @@ class CrawlerLoader(BaseRemote):
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logging.error(f"URL validation failed: {e}")
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return []
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# Keyed by normalize_page_url, so fragment and query-order variants of
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# one page are fetched once.
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visited_urls = set()
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base_url = urlparse(url).scheme + "://" + urlparse(url).hostname
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urls_to_visit = [url]
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@@ -31,7 +33,10 @@ class CrawlerLoader(BaseRemote):
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while urls_to_visit:
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current_url = urls_to_visit.pop(0)
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visited_urls.add(current_url)
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page_key = normalize_page_url(current_url)
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if page_key in visited_urls:
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continue
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visited_urls.add(page_key)
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try:
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response = pinned_request("GET", current_url, timeout=30)
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@@ -57,15 +62,21 @@ class CrawlerLoader(BaseRemote):
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logging.error(f"Error processing URL {current_url}: {e}", exc_info=True)
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continue
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# Parse the HTML content to extract all links
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all_links = [
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urljoin(current_url, a['href'])
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for a in soup.find_all('a', href=True)
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if base_url in urljoin(current_url, a['href'])
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]
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# Parse the HTML content to extract all links. A malformed href
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# (``http://[bad``) makes urljoin or the key parse raise; skip it
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# rather than abort the crawl.
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all_links = []
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for a in soup.find_all('a', href=True):
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try:
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link = urljoin(current_url, a['href'])
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link_key = normalize_page_url(link)
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except ValueError:
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continue
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if base_url in link and link_key not in visited_urls:
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all_links.append(link)
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# Add new links to the list of URLs to visit if they haven't been visited yet
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urls_to_visit.extend([link for link in all_links if link not in visited_urls])
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urls_to_visit.extend(all_links)
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urls_to_visit = list(set(urls_to_visit))
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# Stop crawling if the limit of pages to scrape is reached
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@@ -1,6 +1,6 @@
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from urllib.parse import urlparse, urljoin
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from bs4 import BeautifulSoup
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from docsgpt.parser.remote.base import BaseRemote, dedupe_virtual_paths, url_to_virtual_path
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from docsgpt.parser.remote.base import BaseRemote, dedupe_virtual_paths, normalize_page_url, url_to_virtual_path
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from docsgpt.core.url_validation import validate_url, SSRFError
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from docsgpt.security.safe_url import UnsafeUserUrlError, pinned_request
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import re
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@@ -37,7 +37,8 @@ class CrawlerLoader(BaseRemote):
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print(f"URL validation failed: {e}")
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return []
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# Keep track of visited URLs to avoid revisiting the same page
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# Keep track of visited pages to avoid revisiting the same page. Keyed
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# by normalize_page_url, so fragment and query-order variants are one.
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visited_urls = set()
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# Determine the base domain for link filtering using tldextract
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@@ -49,9 +50,10 @@ class CrawlerLoader(BaseRemote):
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current_url = urls_to_visit.pop()
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# Skip if already visited
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if current_url in visited_urls:
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page_key = normalize_page_url(current_url)
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if page_key in visited_urls:
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continue
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visited_urls.add(current_url)
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visited_urls.add(page_key)
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# Fetch the page content
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html_content = self._fetch_page(current_url)
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@@ -84,7 +86,9 @@ class CrawlerLoader(BaseRemote):
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filtered_links = self._filter_links(new_links, base_domain)
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# Add any new, not-yet-visited links to the queue
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urls_to_visit.update(link for link in filtered_links if link not in visited_urls)
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urls_to_visit.update(
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link for link in filtered_links if normalize_page_url(link) not in visited_urls
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)
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# If we've reached the limit, stop crawling
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if self.limit is not None and len(visited_urls) >= self.limit:
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@@ -123,7 +127,13 @@ class CrawlerLoader(BaseRemote):
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soup = BeautifulSoup(html_content, 'html.parser')
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links = []
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for a in soup.find_all('a', href=True):
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full_url = urljoin(current_url, a['href'])
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# A malformed href (``http://[bad``) makes urljoin or the later
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# parse raise; skip that link rather than abort the crawl.
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try:
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full_url = urljoin(current_url, a['href'])
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normalize_page_url(full_url)
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except ValueError:
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continue
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links.append((full_url, a.text.strip()))
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return links
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