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Merge pull request #2047 from dalf/fasttext-predict
Use fasttext-predict instead of fasttext(-wheel)
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commit
0d4896170f
@ -36,7 +36,6 @@ RUN apk add --no-cache -t build-dependencies \
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su-exec \
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python3 \
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py3-pip \
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py3-numpy \
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libxml2 \
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libxslt \
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openssl \
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@ -44,8 +43,6 @@ RUN apk add --no-cache -t build-dependencies \
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uwsgi \
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uwsgi-python3 \
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brotli \
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&& pip3 install --no-cache setuptools wheel \
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&& sed -i s/fasttext-wheel/fasttext/ requirements.txt \
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&& pip3 install --no-cache -r requirements.txt \
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&& apk del build-dependencies \
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&& rm -rf /root/.cache
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@ -15,4 +15,4 @@ setproctitle==1.3.2
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redis==4.4.0
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markdown-it-py==2.1.0
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typing_extensions==4.4.0
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fasttext-wheel==0.9.2
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fasttext-predict==0.9.2.1
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@ -15,7 +15,6 @@ from os.path import splitext, join
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from random import choice
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from html.parser import HTMLParser
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from urllib.parse import urljoin, urlparse
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import fasttext
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from lxml import html
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from lxml.etree import ElementBase, XPath, XPathError, XPathSyntaxError, _ElementStringResult, _ElementUnicodeResult
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@ -51,12 +50,9 @@ _STORAGE_UNIT_VALUE: Dict[str, int] = {
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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: Optional[fasttext.FastText._FastText] = None
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_FASTTEXT_MODEL: Optional["fasttext.FastText._FastText"] = None
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"""fasttext model to predict laguage of a search term"""
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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
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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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@ -630,9 +626,13 @@ def eval_xpath_getindex(elements: ElementBase, xpath_spec: XPathSpecType, index:
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return default
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def _get_fasttext_model() -> fasttext.FastText._FastText:
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def _get_fasttext_model() -> "fasttext.FastText._FastText":
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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
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_FASTTEXT_MODEL = fasttext.load_model(str(data_dir / 'lid.176.ftz'))
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return _FASTTEXT_MODEL
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