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synced 2026-05-17 16:34:32 +02:00
[mod] drop fasttext-predict (#5795)
Removes the `fasttext-predict` dependency and the language detection code. If a user now selects `auto` for the search language, the detected language now falls back directly to the `Accept-Language` header sent by the browser (which was already the fallback when fasttext returned no result). - fasttext's [language detection is unreliable](https://github.com/searxng/searxng/issues/4195) for some languages, especially short search queries, and in particular for queries containing proper names which is a common case. - `fasttext-predict` consumes [significant memory](https://github.com/searxng/searxng/pull/1969#issuecomment-1345366676) without offering users much real value. - the upstream fasttext project was archived by Meta in 2024 - users already have two better alternatives: the `Accept-Language` header and the search-syntax language prefix (e.g. `:fr` or `:de`). Related: https://github.com/searxng/searxng/issues/4195 Closes: https://github.com/searxng/searxng/issues/5790
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@@ -25,16 +25,11 @@ from lxml.etree import XPath, XPathError, XPathSyntaxError
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from lxml.etree import ElementBase, _Element # pyright: ignore[reportPrivateUsage]
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from searx import settings
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from searx.data import USER_AGENTS, data_dir, gsa_useragents_loader
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from searx.data import USER_AGENTS, gsa_useragents_loader
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from searx.version import VERSION_TAG
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from searx.sxng_locales import sxng_locales
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from searx.exceptions import SearxXPathSyntaxException, SearxEngineXPathException
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from searx import logger
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if t.TYPE_CHECKING:
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import fasttext.FastText # type: ignore
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logger = logger.getChild('utils')
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XPathSpecType: t.TypeAlias = str | XPath
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@@ -61,12 +56,6 @@ _JSON_PASSTHROUGH_ESCAPES = R'"\bfnrtu'
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_XPATH_CACHE: dict[str, XPath] = {}
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_LANG_TO_LC_CACHE: dict[str, dict[str, str]] = {}
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_FASTTEXT_MODEL: "fasttext.FastText._FastText | None" = None # pyright: ignore[reportPrivateUsage]
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"""fasttext model to predict language of a search term"""
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SEARCH_LANGUAGE_CODES = frozenset([searxng_locale[0].split('-')[0] for searxng_locale in sxng_locales])
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"""Languages supported by most searxng engines (:py:obj:`searx.sxng_locales.sxng_locales`)."""
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class _NotSetClass: # pylint: disable=too-few-public-methods
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"""Internal class for this module, do not create instance of this class.
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@@ -610,17 +599,6 @@ def eval_xpath_getindex(
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return default
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def _get_fasttext_model() -> "fasttext.FastText._FastText": # pyright: ignore[reportPrivateUsage]
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global _FASTTEXT_MODEL # pylint: disable=global-statement
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if _FASTTEXT_MODEL is None:
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import fasttext # pylint: disable=import-outside-toplevel
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# Monkey patch: prevent fasttext from showing a (useless) warning when loading a model.
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fasttext.FastText.eprint = lambda x: None # type: ignore
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_FASTTEXT_MODEL = fasttext.load_model(str(data_dir / 'lid.176.ftz')) # type: ignore
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return _FASTTEXT_MODEL
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def get_embeded_stream_url(url: str):
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"""
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Converts a standard video URL into its embed format. Supported services include Youtube,
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@@ -683,77 +661,6 @@ def get_embeded_stream_url(url: str):
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return iframe_src
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def detect_language(text: str, threshold: float = 0.3, only_search_languages: bool = False) -> str | None:
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"""Detect the language of the ``text`` parameter.
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:param str text: The string whose language is to be detected.
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:param float threshold: Threshold filters the returned labels by a threshold
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on probability. A choice of 0.3 will return labels with at least 0.3
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probability.
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:param bool only_search_languages: If ``True``, returns only supported
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SearXNG search languages. see :py:obj:`searx.languages`
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:rtype: str, None
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:returns:
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The detected language code or ``None``. See below.
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:raises ValueError: If ``text`` is not a string.
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The language detection is done by using `a fork`_ of the fastText_ library
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(`python fasttext`_). fastText_ distributes the `language identification
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model`_, for reference:
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- `FastText.zip: Compressing text classification models`_
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- `Bag of Tricks for Efficient Text Classification`_
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The `language identification model`_ support the language codes
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(ISO-639-3)::
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af als am an ar arz as ast av az azb ba bar bcl be bg bh bn bo bpy br bs
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bxr ca cbk ce ceb ckb co cs cv cy da de diq dsb dty dv el eml en eo es
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et eu fa fi fr frr fy ga gd gl gn gom gu gv he hi hif hr hsb ht hu hy ia
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id ie ilo io is it ja jbo jv ka kk km kn ko krc ku kv kw ky la lb lez li
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lmo lo lrc lt lv mai mg mhr min mk ml mn mr mrj ms mt mwl my myv mzn nah
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nap nds ne new nl nn no oc or os pa pam pfl pl pms pnb ps pt qu rm ro ru
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rue sa sah sc scn sco sd sh si sk sl so sq sr su sv sw ta te tg th tk tl
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tr tt tyv ug uk ur uz vec vep vi vls vo wa war wuu xal xmf yi yo yue zh
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By using ``only_search_languages=True`` the `language identification model`_
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is harmonized with the SearXNG's language (locale) model. General
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conditions of SearXNG's locale model are:
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a. SearXNG's locale of a query is passed to the
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:py:obj:`searx.locales.get_engine_locale` to get a language and/or region
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code that is used by an engine.
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b. Most of SearXNG's engines do not support all the languages from `language
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identification model`_ and there is also a discrepancy in the ISO-639-3
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(fasttext) and ISO-639-2 (SearXNG)handling. Further more, in SearXNG the
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locales like ``zh-TH`` (``zh-CN``) are mapped to ``zh_Hant``
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(``zh_Hans``) while the `language identification model`_ reduce both to
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``zh``.
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.. _a fork: https://github.com/searxng/fasttext-predict
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.. _fastText: https://fasttext.cc/
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.. _python fasttext: https://pypi.org/project/fasttext/
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.. _language identification model: https://fasttext.cc/docs/en/language-identification.html
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.. _Bag of Tricks for Efficient Text Classification: https://arxiv.org/abs/1607.01759
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.. _`FastText.zip: Compressing text classification models`: https://arxiv.org/abs/1612.03651
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"""
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if not isinstance(text, str):
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raise ValueError('text must a str') # pyright: ignore[reportUnreachable]
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r = _get_fasttext_model().predict(text.replace('\n', ' '), k=1, threshold=threshold) # type: ignore
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if isinstance(r, tuple) and len(r) == 2 and len(r[0]) > 0 and len(r[1]) > 0: # type: ignore
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language = r[0][0].split('__label__')[1] # type: ignore
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if only_search_languages and language not in SEARCH_LANGUAGE_CODES:
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return None
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return language # type: ignore
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return None
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def _j2p_process_escape(match: re.Match[str]) -> str:
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# deal with ECMA escape characters
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_escape = match.group(1) or match.group(2)
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