[fix] engine: re-implement mullvad leta integration

Re-writes the Mullvad Leta integration to work with the new breaking changes.

Mullvad Leta is a search engine proxy.  Currently Leta only offers text search
results not image, news or any other types of search result.  Leta acts as a
proxy to Google and Brave search results.

- Remove docstring comments regarding requiring the use of Mullvad VPN, which is
  no longer a hard requirement.

- configured two engines: ``mullvadleta`` (uses google) and
  ``mullvadleta brave`` (uses brave)

- since leta may not provide up-to-date search results, both search engines are
  disabled by default.

.. hint::

   Leta caches each search for up to 30 days.  For example, if you use search
   terms like ``news``, contrary to your intention you'll get very old results!

Co-authored-by: Markus Heiser <markus.heiser@darmarit.de>
Signed-off-by: Grant Lanham <contact@grantlanham.com>
This commit is contained in:
Grant Lanham 2025-04-12 22:17:09 -04:00 committed by Markus Heiser
parent 07a94d4d2e
commit 851c0e5cc0
3 changed files with 216 additions and 148 deletions

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@ -4,10 +4,5 @@
Mullvad-Leta
============
.. contents:: Contents
:depth: 2
:local:
:backlinks: entry
.. automodule:: searx.engines.mullvad_leta
:members:

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@ -1,46 +1,61 @@
# SPDX-License-Identifier: AGPL-3.0-or-later
"""This is the implementation of the Mullvad-Leta meta-search engine.
This engine **REQUIRES** that searxng operate within a Mullvad VPN
If using docker, consider using gluetun for easily connecting to the Mullvad
- https://github.com/qdm12/gluetun
Otherwise, follow instructions provided by Mullvad for enabling the VPN on Linux
- https://mullvad.net/en/help/install-mullvad-app-linux
"""Mullvad Leta is a search engine proxy. Currently Leta only offers text
search results not image, news or any other types of search result. Leta acts
as a proxy to Google and Brave search results. You can select which backend
search engine you wish to use, see (:py:obj:`leta_engine`).
.. hint::
The :py:obj:`EngineTraits` is empty by default. Maintainers have to run
``make data.traits`` (in the Mullvad VPN / :py:obj:`fetch_traits`) and rebase
the modified JSON file ``searx/data/engine_traits.json`` on every single
update of SearXNG!
Leta caches each search for up to 30 days. For example, if you use search
terms like ``news``, contrary to your intention you'll get very old results!
Configuration
=============
The engine has the following additional settings:
- :py:obj:`leta_engine` (:py:obj:`LetaEnginesType`)
You can configure one Leta engine for Google and one for Brave:
.. code:: yaml
- name: mullvadleta
engine: mullvad_leta
leta_engine: google
shortcut: ml
- name: mullvadleta brave
engine: mullvad_leta
network: mullvadleta # use network from engine "mullvadleta" configured above
leta_engine: brave
shortcut: mlb
Implementations
===============
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import typing
from urllib.parse import urlencode
import babel
from httpx import Response
from lxml import html
from searx.enginelib.traits import EngineTraits
from searx.locales import region_tag, get_official_locales
from searx.utils import eval_xpath, extract_text, eval_xpath_list
from searx.exceptions import SearxEngineResponseException
from searx.locales import get_official_locales, language_tag, region_tag
from searx.utils import eval_xpath_list
from searx.result_types import EngineResults, MainResult
if TYPE_CHECKING:
if typing.TYPE_CHECKING:
import logging
logger = logging.getLogger()
traits: EngineTraits
use_cache: bool = True # non-cache use only has 100 searches per day!
leta_engine: str = 'google'
search_url = "https://leta.mullvad.net"
# about
@ -54,154 +69,205 @@ about = {
}
# engine dependent config
categories = ['general', 'web']
categories = ["general", "web"]
paging = True
max_page = 50
max_page = 10
time_range_support = True
time_range_dict = {
"day": "d1",
"week": "w1",
"month": "m1",
"year": "y1",
"day": "d",
"week": "w",
"month": "m",
"year": "y",
}
available_leta_engines = [
'google', # first will be default if provided engine is invalid
'brave',
]
LetaEnginesType = typing.Literal["google", "brave"]
"""Engine types supported by mullvadleta."""
leta_engine: LetaEnginesType = "google"
"""Select Leta's engine type from :py:obj:`LetaEnginesType`."""
def is_vpn_connected(dom: html.HtmlElement) -> bool:
"""Returns true if the VPN is connected, False otherwise"""
connected_text = extract_text(eval_xpath(dom, '//main/div/p[1]'))
return connected_text != 'You are not connected to Mullvad VPN.'
def init(_):
l = typing.get_args(LetaEnginesType)
if leta_engine not in l:
raise ValueError(f"leta_engine '{leta_engine}' is invalid, use one of {', '.join(l)}")
def assign_headers(headers: dict) -> dict:
"""Assigns the headers to make a request to Mullvad Leta"""
headers['Accept'] = "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8"
headers['Content-Type'] = "application/x-www-form-urlencoded"
headers['Host'] = "leta.mullvad.net"
headers['Origin'] = "https://leta.mullvad.net"
return headers
class DataNodeQueryMetaDataIndices(typing.TypedDict):
"""Indices into query metadata."""
success: int
q: int # pylint: disable=invalid-name
country: int
language: int
lastUpdated: int
engine: int
items: int
infobox: int
news: int
timestamp: int
altered: int
page: int
next: int # if -1, there no more results are available
previous: int
class DataNodeResultIndices(typing.TypedDict):
"""Indices into query resultsdata."""
link: int
snippet: int
title: int
favicon: int
def request(query: str, params: dict):
country = traits.get_region(params.get('searxng_locale', 'all'), traits.all_locale) # type: ignore
result_engine = leta_engine
if leta_engine not in available_leta_engines:
result_engine = available_leta_engines[0]
logger.warning(
'Configured engine "%s" not one of the available engines %s, defaulting to "%s"',
leta_engine,
available_leta_engines,
result_engine,
)
params['url'] = search_url
params['method'] = 'POST'
params['data'] = {
params["method"] = "GET"
args = {
"q": query,
"gl": country if country is str else '',
'engine': result_engine,
"engine": leta_engine,
"x-sveltekit-invalidated": "001", # hardcoded from all requests seen
}
# pylint: disable=undefined-variable
if use_cache:
params['data']['oc'] = "on"
# pylint: enable=undefined-variable
if params['time_range'] in time_range_dict:
params['dateRestrict'] = time_range_dict[params['time_range']]
else:
params['dateRestrict'] = ''
country = traits.get_region(params.get("searxng_locale"), traits.all_locale) # type: ignore
if country:
args["country"] = country
if params['pageno'] > 1:
# Page 1 is n/a, Page 2 is 11, page 3 is 21, ...
params['data']['start'] = ''.join([str(params['pageno'] - 1), "1"])
language = traits.get_language(params.get("searxng_locale"), traits.all_locale) # type: ignore
if language:
args["language"] = language
if params['headers'] is None:
params['headers'] = {}
if params["time_range"] in time_range_dict:
args["lastUpdated"] = time_range_dict[params["time_range"]]
if params["pageno"] > 1:
args["page"] = params["pageno"]
params["url"] = f"{search_url}/search/__data.json?{urlencode(args)}"
assign_headers(params['headers'])
return params
def extract_result(dom_result: list[html.HtmlElement]):
# Infoboxes sometimes appear in the beginning and will have a length of 0
if len(dom_result) == 3:
[a_elem, h3_elem, p_elem] = dom_result
elif len(dom_result) == 4:
[_, a_elem, h3_elem, p_elem] = dom_result
else:
return None
def response(resp: Response) -> EngineResults:
json_response = resp.json()
return {
'url': extract_text(a_elem.text),
'title': extract_text(h3_elem),
'content': extract_text(p_elem),
}
nodes = json_response["nodes"]
# 0: is None
# 1: has "connected=True", not useful
# 2: query results within "data"
data_nodes = nodes[2]["data"]
# Instead of nested object structure, all objects are flattened into a
# list. Rather, the first object in data_node provides indices into the
# "data_nodes" to access each searchresult (which is an object of more
# indices)
#
# Read the relative TypedDict definitions for details
query_meta_data: DataNodeQueryMetaDataIndices = data_nodes[0]
query_items_indices = query_meta_data["items"]
results = EngineResults()
for idx in data_nodes[query_items_indices]:
query_item_indices: DataNodeResultIndices = data_nodes[idx]
results.add(
MainResult(
url=data_nodes[query_item_indices["link"]],
title=data_nodes[query_item_indices["title"]],
content=data_nodes[query_item_indices["snippet"]],
)
)
return results
def extract_results(search_results: html.HtmlElement):
for search_result in search_results:
dom_result = eval_xpath_list(search_result, 'div/div/*')
result = extract_result(dom_result)
if result is not None:
yield result
def fetch_traits(engine_traits: EngineTraits) -> None:
"""Fetch languages and regions from Mullvad-Leta"""
def extract_table_data(table):
for row in table.xpath(".//tr")[2:]:
cells = row.xpath(".//td | .//th") # includes headers and data
if len(cells) > 1: # ensure the column exists
cell0 = cells[0].text_content().strip()
cell1 = cells[1].text_content().strip()
yield [cell0, cell1]
def response(resp: Response):
"""Checks if connected to Mullvad VPN, then extracts the search results from
the DOM resp: requests response object"""
dom = html.fromstring(resp.text)
if not is_vpn_connected(dom):
raise SearxEngineResponseException('Not connected to Mullvad VPN')
search_results = eval_xpath(dom.body, '//main/div[2]/div')
return list(extract_results(search_results))
def fetch_traits(engine_traits: EngineTraits):
"""Fetch languages and regions from Mullvad-Leta
.. warning::
Fetching the engine traits also requires a Mullvad VPN connection. If
not connected, then an error message will print and no traits will be
updated.
"""
# pylint: disable=import-outside-toplevel
# see https://github.com/searxng/searxng/issues/762
from searx.network import post as http_post
from searx.network import get as http_get
# pylint: enable=import-outside-toplevel
resp = http_post(search_url, headers=assign_headers({}))
resp = http_get(f"{search_url}/documentation")
if not isinstance(resp, Response):
print("ERROR: failed to get response from mullvad-leta. Are you connected to the VPN?")
return
if not resp.ok:
print("ERROR: response from mullvad-leta is not OK. Are you connected to the VPN?")
return
dom = html.fromstring(resp.text)
if not is_vpn_connected(dom):
print('ERROR: Not connected to Mullvad VPN')
return
# supported region codes
options = eval_xpath_list(dom.body, '//main/div/form/div[2]/div/select[1]/option')
if options is None or len(options) <= 0:
print('ERROR: could not find any results. Are you connected to the VPN?')
for x in options:
eng_country = x.get("value")
sxng_locales = get_official_locales(eng_country, engine_traits.languages.keys(), regional=True)
# There are 4 HTML tables on the documentation page for extracting information:
# 0. Keyboard Shortcuts
# 1. Query Parameters (shoutout to Mullvad for accessible docs for integration)
# 2. Country Codes [Country, Code]
# 3. Language Codes [Language, Code]
tables = eval_xpath_list(dom.body, "//table")
if tables is None or len(tables) <= 0:
print("ERROR: could not find any tables. Was the page updated?")
if not sxng_locales:
print(
"ERROR: can't map from Mullvad-Leta country %s (%s) to a babel region."
% (x.get('data-name'), eng_country)
)
language_table = tables[3]
lang_map = {
"zh-hant": "zh_Hans",
"zh-hans": "zh_Hant",
"jp": "ja",
}
for language, code in extract_table_data(language_table):
locale_tag = lang_map.get(code, code).replace("-", "_") # type: ignore
try:
locale = babel.Locale.parse(locale_tag)
except babel.UnknownLocaleError:
print(f"ERROR: Mullvad-Leta language {language} ({code}) is unknown by babel")
continue
for sxng_locale in sxng_locales:
engine_traits.regions[region_tag(sxng_locale)] = eng_country
sxng_tag = language_tag(locale)
engine_traits.languages[sxng_tag] = code
country_table = tables[2]
country_map = {
"cn": "zh-CN",
"hk": "zh-HK",
"jp": "ja-JP",
"my": "ms-MY",
"tw": "zh-TW",
"uk": "en-GB",
"us": "en-US",
}
for country, code in extract_table_data(country_table):
sxng_tag = country_map.get(code)
if sxng_tag:
engine_traits.regions[sxng_tag] = code
continue
try:
locale = babel.Locale.parse(f"{code.lower()}_{code.upper()}")
except babel.UnknownLocaleError:
locale = None
if locale:
engine_traits.regions[region_tag(locale)] = code
continue
official_locales = get_official_locales(code, engine_traits.languages.keys(), regional=True)
if not official_locales:
print(f"ERROR: Mullvad-Leta country '{code}' ({country}) could not be mapped as expected.")
continue
for locale in official_locales:
engine_traits.regions[region_tag(locale)] = code

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@ -1420,14 +1420,21 @@ engines:
require_api_key: false
results: JSON
# read https://docs.searxng.org/dev/engines/online/mullvad_leta.html
# - name: mullvadleta
# engine: mullvad_leta
# leta_engine: google # choose one of the following: google, brave
# use_cache: true # Only 100 non-cache searches per day, suggested only for private instances
# search_url: https://leta.mullvad.net
# categories: [general, web]
# shortcut: ml
# https://docs.searxng.org/dev/engines/online/mullvad_leta.html
- name: mullvadleta
engine: mullvad_leta
disabled: true
leta_engine: google
categories: [general, web]
shortcut: ml
- name: mullvadleta brave
engine: mullvad_leta
network: mullvadleta
disabled: true
leta_engine: brave
categories: [general, web]
shortcut: mlb
- name: odysee
engine: odysee