PNG  IHDRxsBIT|d pHYs+tEXtSoftwarewww.inkscape.org<,tEXtComment File Manager

File Manager

Path: /opt/alt/python311/lib/python3.11/site-packages/elasticsearch/dsl/

Viewing File: analysis.py

#  Licensed to Elasticsearch B.V. under one or more contributor
#  license agreements. See the NOTICE file distributed with
#  this work for additional information regarding copyright
#  ownership. Elasticsearch B.V. licenses this file to you under
#  the Apache License, Version 2.0 (the "License"); you may
#  not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
# 	http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing,
#  software distributed under the License is distributed on an
#  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
#  KIND, either express or implied.  See the License for the
#  specific language governing permissions and limitations
#  under the License.

from typing import Any, ClassVar, Dict, List, Optional, Union, cast

from . import async_connections, connections
from .utils import AsyncUsingType, AttrDict, DslBase, UsingType, merge

__all__ = ["tokenizer", "analyzer", "char_filter", "token_filter", "normalizer"]


class AnalysisBase:
    @classmethod
    def _type_shortcut(
        cls,
        name_or_instance: Union[str, "AnalysisBase"],
        type: Optional[str] = None,
        **kwargs: Any,
    ) -> DslBase:
        if isinstance(name_or_instance, cls):
            if type or kwargs:
                raise ValueError(f"{cls.__name__}() cannot accept parameters.")
            return name_or_instance  # type: ignore[return-value]

        if not (type or kwargs):
            return cls.get_dsl_class("builtin")(name_or_instance)  # type: ignore[no-any-return, attr-defined]

        return cls.get_dsl_class(type, "custom")(  # type: ignore[no-any-return, attr-defined]
            name_or_instance, type or "custom", **kwargs
        )


class CustomAnalysis:
    name = "custom"

    def __init__(self, filter_name: str, builtin_type: str = "custom", **kwargs: Any):
        self._builtin_type = builtin_type
        self._name = filter_name
        super().__init__(**kwargs)

    def to_dict(self) -> Dict[str, Any]:
        # only name to present in lists
        return self._name  # type: ignore[return-value]

    def get_definition(self) -> Dict[str, Any]:
        d = super().to_dict()  # type: ignore[misc]
        d = d.pop(self.name)
        d["type"] = self._builtin_type
        return d  # type: ignore[no-any-return]


class CustomAnalysisDefinition(CustomAnalysis):
    _type_name: str
    _param_defs: ClassVar[Dict[str, Any]]
    filter: List[Any]
    char_filter: List[Any]

    def get_analysis_definition(self) -> Dict[str, Any]:
        out = {self._type_name: {self._name: self.get_definition()}}

        t = cast("Tokenizer", getattr(self, "tokenizer", None))
        if "tokenizer" in self._param_defs and hasattr(t, "get_definition"):
            out["tokenizer"] = {t._name: t.get_definition()}

        filters = {
            f._name: f.get_definition()
            for f in self.filter
            if hasattr(f, "get_definition")
        }
        if filters:
            out["filter"] = filters

        # any sub filter definitions like multiplexers etc?
        for f in self.filter:
            if hasattr(f, "get_analysis_definition"):
                d = f.get_analysis_definition()
                if d:
                    merge(out, d, True)

        char_filters = {
            f._name: f.get_definition()
            for f in self.char_filter
            if hasattr(f, "get_definition")
        }
        if char_filters:
            out["char_filter"] = char_filters

        return out


class BuiltinAnalysis:
    name = "builtin"

    def __init__(self, name: str):
        self._name = name
        super().__init__()

    def to_dict(self) -> Dict[str, Any]:
        # only name to present in lists
        return self._name  # type: ignore[return-value]


class Analyzer(AnalysisBase, DslBase):
    _type_name = "analyzer"
    name = ""


class BuiltinAnalyzer(BuiltinAnalysis, Analyzer):
    def get_analysis_definition(self) -> Dict[str, Any]:
        return {}


class CustomAnalyzer(CustomAnalysisDefinition, Analyzer):
    _param_defs = {
        "filter": {"type": "token_filter", "multi": True},
        "char_filter": {"type": "char_filter", "multi": True},
        "tokenizer": {"type": "tokenizer"},
    }

    def _get_body(
        self, text: str, explain: bool, attributes: Optional[Dict[str, Any]]
    ) -> Dict[str, Any]:
        body = {"text": text, "explain": explain}
        if attributes:
            body["attributes"] = attributes

        definition = self.get_analysis_definition()
        analyzer_def = self.get_definition()

        for section in ("tokenizer", "char_filter", "filter"):
            if section not in analyzer_def:
                continue
            sec_def = definition.get(section, {})
            sec_names = analyzer_def[section]

            if isinstance(sec_names, str):
                body[section] = sec_def.get(sec_names, sec_names)
            else:
                body[section] = [
                    sec_def.get(sec_name, sec_name) for sec_name in sec_names
                ]

        if self._builtin_type != "custom":
            body["analyzer"] = self._builtin_type

        return body

    def simulate(
        self,
        text: str,
        using: UsingType = "default",
        explain: bool = False,
        attributes: Optional[Dict[str, Any]] = None,
    ) -> AttrDict[Any]:
        """
        Use the Analyze API of elasticsearch to test the outcome of this analyzer.

        :arg text: Text to be analyzed
        :arg using: connection alias to use, defaults to ``'default'``
        :arg explain: will output all token attributes for each token. You can
            filter token attributes you want to output by setting ``attributes``
            option.
        :arg attributes: if ``explain`` is specified, filter the token
            attributes to return.
        """
        es = connections.get_connection(using)
        return AttrDict(
            cast(
                Dict[str, Any],
                es.indices.analyze(body=self._get_body(text, explain, attributes)),
            )
        )

    async def async_simulate(
        self,
        text: str,
        using: AsyncUsingType = "default",
        explain: bool = False,
        attributes: Optional[Dict[str, Any]] = None,
    ) -> AttrDict[Any]:
        """
        Use the Analyze API of elasticsearch to test the outcome of this analyzer.

        :arg text: Text to be analyzed
        :arg using: connection alias to use, defaults to ``'default'``
        :arg explain: will output all token attributes for each token. You can
            filter token attributes you want to output by setting ``attributes``
            option.
        :arg attributes: if ``explain`` is specified, filter the token
            attributes to return.
        """
        es = async_connections.get_connection(using)
        return AttrDict(
            cast(
                Dict[str, Any],
                await es.indices.analyze(
                    body=self._get_body(text, explain, attributes)
                ),
            )
        )


class Normalizer(AnalysisBase, DslBase):
    _type_name = "normalizer"
    name = ""


class BuiltinNormalizer(BuiltinAnalysis, Normalizer):
    def get_analysis_definition(self) -> Dict[str, Any]:
        return {}


class CustomNormalizer(CustomAnalysisDefinition, Normalizer):
    _param_defs = {
        "filter": {"type": "token_filter", "multi": True},
        "char_filter": {"type": "char_filter", "multi": True},
    }


class Tokenizer(AnalysisBase, DslBase):
    _type_name = "tokenizer"
    name = ""


class BuiltinTokenizer(BuiltinAnalysis, Tokenizer):
    pass


class CustomTokenizer(CustomAnalysis, Tokenizer):
    pass


class TokenFilter(AnalysisBase, DslBase):
    _type_name = "token_filter"
    name = ""


class BuiltinTokenFilter(BuiltinAnalysis, TokenFilter):
    pass


class CustomTokenFilter(CustomAnalysis, TokenFilter):
    pass


class MultiplexerTokenFilter(CustomTokenFilter):
    name = "multiplexer"

    def get_definition(self) -> Dict[str, Any]:
        d = super(CustomTokenFilter, self).get_definition()

        if "filters" in d:
            d["filters"] = [
                # comma delimited string given by user
                (
                    fs
                    if isinstance(fs, str)
                    else
                    # list of strings or TokenFilter objects
                    ", ".join(f.to_dict() if hasattr(f, "to_dict") else f for f in fs)
                )
                for fs in self.filters
            ]
        return d

    def get_analysis_definition(self) -> Dict[str, Any]:
        if not hasattr(self, "filters"):
            return {}

        fs: Dict[str, Any] = {}
        d = {"filter": fs}
        for filters in self.filters:
            if isinstance(filters, str):
                continue
            fs.update(
                {
                    f._name: f.get_definition()
                    for f in filters
                    if hasattr(f, "get_definition")
                }
            )
        return d


class ConditionalTokenFilter(CustomTokenFilter):
    name = "condition"

    def get_definition(self) -> Dict[str, Any]:
        d = super(CustomTokenFilter, self).get_definition()
        if "filter" in d:
            d["filter"] = [
                f.to_dict() if hasattr(f, "to_dict") else f for f in self.filter
            ]
        return d

    def get_analysis_definition(self) -> Dict[str, Any]:
        if not hasattr(self, "filter"):
            return {}

        return {
            "filter": {
                f._name: f.get_definition()
                for f in self.filter
                if hasattr(f, "get_definition")
            }
        }


class CharFilter(AnalysisBase, DslBase):
    _type_name = "char_filter"
    name = ""


class BuiltinCharFilter(BuiltinAnalysis, CharFilter):
    pass


class CustomCharFilter(CustomAnalysis, CharFilter):
    pass


# shortcuts for direct use
analyzer = Analyzer._type_shortcut
tokenizer = Tokenizer._type_shortcut
token_filter = TokenFilter._type_shortcut
char_filter = CharFilter._type_shortcut
normalizer = Normalizer._type_shortcut
b IDATxytVսϓ22 A@IR :hCiZ[v*E:WũZA ^dQeQ @ !jZ'>gsV仿$|?g)&x-EIENT ;@xT.i%-X}SvS5.r/UHz^_$-W"w)Ɗ/@Z &IoX P$K}JzX:;` &, ŋui,e6mX ԵrKb1ԗ)DADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADADA݀!I*]R;I2$eZ#ORZSrr6mteffu*((Pu'v{DIߔ4^pIm'77WEEE;vƎ4-$]'RI{\I&G :IHJ DWBB=\WR޽m o$K(V9ABB.}jѢv`^?IOȅ} ڶmG}T#FJ`56$-ھ}FI&v;0(h;Б38CӧOWf!;A i:F_m9s&|q%=#wZprrrla A &P\\СC[A#! {olF} `E2}MK/vV)i{4BffV\|ۭX`b@kɶ@%i$K z5zhmX[IXZ` 'b%$r5M4º/l ԃߖxhʔ)[@=} K6IM}^5k㏷݆z ΗÿO:gdGBmyT/@+Vɶ纽z񕏵l.y޴it뭷zV0[Y^>Wsqs}\/@$(T7f.InݺiR$푔n.~?H))\ZRW'Mo~v Ov6oԃxz! S,&xm/yɞԟ?'uaSѽb,8GלKboi&3t7Y,)JJ c[nzӳdE&KsZLӄ I?@&%ӟ۶mSMMњ0iؐSZ,|J+N ~,0A0!5%Q-YQQa3}$_vVrf9f?S8`zDADADADADADADADADAdqP,تmMmg1V?rSI꒟]u|l RCyEf٢9 jURbztѰ!m5~tGj2DhG*{H9)꒟ר3:(+3\?/;TUݭʴ~S6lڧUJ*i$d(#=Yݺd{,p|3B))q:vN0Y.jkק6;SɶVzHJJЀ-utѹսk>QUU\޲~]fFnK?&ߡ5b=z9)^|u_k-[y%ZNU6 7Mi:]ۦtk[n X(e6Bb."8cۭ|~teuuw|ήI-5"~Uk;ZicEmN/:]M> cQ^uiƞ??Ңpc#TUU3UakNwA`:Y_V-8.KKfRitv޲* 9S6ֿj,ՃNOMߤ]z^fOh|<>@Å5 _/Iu?{SY4hK/2]4%it5q]GGe2%iR| W&f*^]??vq[LgE_3f}Fxu~}qd-ږFxu~I N>\;͗O֊:̗WJ@BhW=y|GgwܷH_NY?)Tdi'?խwhlmQi !SUUsw4kӺe4rfxu-[nHtMFj}H_u~w>)oV}(T'ebʒv3_[+vn@Ȭ\S}ot}w=kHFnxg S 0eޢm~l}uqZfFoZuuEg `zt~? b;t%>WTkķh[2eG8LIWx,^\thrl^Ϊ{=dž<}qV@ ⠨Wy^LF_>0UkDuʫuCs$)Iv:IK;6ֲ4{^6եm+l3>݆uM 9u?>Zc }g~qhKwڭeFMM~pМuqǿz6Tb@8@Y|jx](^]gf}M"tG -w.@vOqh~/HII`S[l.6nØXL9vUcOoB\xoǤ'T&IǍQw_wpv[kmO{w~>#=P1Pɞa-we:iǏlHo׈꒟f9SzH?+shk%Fs:qVhqY`jvO'ρ?PyX3lх]˾uV{ݞ]1,MzYNW~̈́ joYn}ȚF߾׮mS]F z+EDxm/d{F{-W-4wY듏:??_gPf ^3ecg ҵs8R2מz@TANGj)}CNi/R~}c:5{!ZHӋӾ6}T]G]7W6^n 9*,YqOZj:P?Q DFL|?-^.Ɵ7}fFh׶xe2Pscz1&5\cn[=Vn[ĶE鎀uˌd3GII k;lNmشOuuRVfBE]ۣeӶu :X-[(er4~LHi6:Ѻ@ԅrST0trk%$Č0ez" *z"T/X9|8.C5Feg}CQ%͞ˣJvL/?j^h&9xF`њZ(&yF&Iݻfg#W;3^{Wo^4'vV[[K';+mӍִ]AC@W?1^{එyh +^]fm~iԵ]AB@WTk̏t uR?l.OIHiYyԶ]Aˀ7c:q}ힽaf6Z~қm(+sK4{^6}T*UUu]n.:kx{:2 _m=sAߤU@?Z-Vކеz왍Nэ{|5 pڶn b p-@sPg]0G7fy-M{GCF'%{4`=$-Ge\ eU:m+Zt'WjO!OAF@ik&t݆ϥ_ e}=]"Wz_.͜E3leWFih|t-wZۍ-uw=6YN{6|} |*={Ѽn.S.z1zjۻTH]흾 DuDvmvK.`V]yY~sI@t?/ϓ. m&["+P?MzovVЫG3-GRR[(!!\_,^%?v@ҵő m`Y)tem8GMx.))A]Y i`ViW`?^~!S#^+ѽGZj?Vģ0.))A꨷lzL*]OXrY`DBBLOj{-MH'ii-ϰ ok7^ )쭡b]UXSְmռY|5*cֽk0B7镹%ڽP#8nȎq}mJr23_>lE5$iwui+ H~F`IjƵ@q \ @#qG0".0" l`„.0! ,AQHN6qzkKJ#o;`Xv2>,tێJJ7Z/*A .@fفjMzkg @TvZH3Zxu6Ra'%O?/dQ5xYkU]Rֽkق@DaS^RSּ5|BeHNN͘p HvcYcC5:y #`οb;z2.!kr}gUWkyZn=f Pvsn3p~;4p˚=ē~NmI] ¾ 0lH[_L hsh_ғߤc_њec)g7VIZ5yrgk̞W#IjӪv>՞y睝M8[|]\շ8M6%|@PZڨI-m>=k='aiRo-x?>Q.}`Ȏ:Wsmu u > .@,&;+!!˱tﭧDQwRW\vF\~Q7>spYw$%A~;~}6¾ g&if_=j,v+UL1(tWake:@Ș>j$Gq2t7S?vL|]u/ .(0E6Mk6hiۺzښOrifޱxm/Gx> Lal%%~{lBsR4*}{0Z/tNIɚpV^#Lf:u@k#RSu =S^ZyuR/.@n&΃z~B=0eg뺆#,Þ[B/?H uUf7y Wy}Bwegל`Wh(||`l`.;Ws?V@"c:iɍL֯PGv6zctM̠':wuW;d=;EveD}9J@B(0iհ bvP1{\P&G7D޴Iy_$-Qjm~Yrr&]CDv%bh|Yzni_ˆR;kg}nJOIIwyuL}{ЌNj}:+3Y?:WJ/N+Rzd=hb;dj͒suݔ@NKMԄ jqzC5@y°hL m;*5ezᕏ=ep XL n?מ:r`۵tŤZ|1v`V뽧_csج'ߤ%oTuumk%%%h)uy]Nk[n 'b2 l.=͜E%gf$[c;s:V-͞WߤWh-j7]4=F-X]>ZLSi[Y*We;Zan(ӇW|e(HNNP5[= r4tP &0<pc#`vTNV GFqvTi*Tyam$ߏWyE*VJKMTfFw>'$-ؽ.Ho.8c"@DADADADADADADADADA~j*֘,N;Pi3599h=goضLgiJ5փy~}&Zd9p֚ e:|hL``b/d9p? fgg+%%hMgXosج, ΩOl0Zh=xdjLmhݻoO[g_l,8a]٭+ӧ0$I]c]:粹:Teꢢ"5a^Kgh,&= =՟^߶“ߢE ܹS J}I%:8 IDAT~,9/ʃPW'Mo}zNƍ쨓zPbNZ~^z=4mswg;5 Y~SVMRXUյڱRf?s:w ;6H:ºi5-maM&O3;1IKeamZh͛7+##v+c ~u~ca]GnF'ټL~PPPbn voC4R,ӟgg %hq}@#M4IÇ Oy^xMZx ) yOw@HkN˖-Sǎmb]X@n+i͖!++K3gd\$mt$^YfJ\8PRF)77Wא!Cl$i:@@_oG I{$# 8磌ŋ91A (Im7֭>}ߴJq7ޗt^ -[ԩSj*}%]&' -ɓ'ꫯVzzvB#;a 7@GxI{j޼ƌ.LÇWBB7`O"I$/@R @eee@۷>}0,ɒ2$53Xs|cS~rpTYYY} kHc %&k.], @ADADADADADADADADA@lT<%''*Lo^={رc5h %$+CnܸQ3fҥK}vUVVs9G R,_{xˇ3o߾;TTTd}馛]uuuG~iԩ@4bnvmvfϞ /Peeeq}}za I~,誫{UWW뮻}_~YƍSMMMYχ֝waw\ďcxꩧtEƍկ_?۷5@u?1kNׯWzz/wy>}zj3 k(ٺuq_Zvf̘:~ ABQ&r|!%KҥKgԞ={<_X-z !CyFUUz~ ABQIIIjݺW$UXXDٳZ~ ABQƍecW$<(~<RSSvZujjjԧOZQu@4 8m&&&jԩg$ď1h ͟?_{768@g =@`)))5o6m3)ѣƌJ;wҿUTT /KZR{~a=@0o<*狔iFɶ[ˎ;T]]OX@?K.ۈxN pppppppppppppppppPfl߾] ,{ァk۶mڿo5BTӦMӴiӴ|r DB2e|An!Dy'tkΝ[A $***t5' "!駟oaDnΝ:t֭[gDШQ06qD;@ x M6v(PiizmZ4ew"@̴ixf [~-Fٱc&IZ2|n!?$@{[HTɏ#@hȎI# _m(F /6Z3z'\r,r!;w2Z3j=~GY7"I$iI.p_"?pN`y DD?: _  Gÿab7J !Bx@0 Bo cG@`1C[@0G @`0C_u V1 aCX>W ` | `!<S `"<. `#c`?cAC4 ?c p#~@0?:08&_MQ1J h#?/`7;I  q 7a wQ A 1 Hp !#<8/#@1Ul7=S=K.4Z?E_$i@!1!E4?`P_  @Bă10#: "aU,xbFY1 [n|n #'vEH:`xb #vD4Y hi.i&EΖv#O H4IŶ}:Ikh @tZRF#(tXҙzZ ?I3l7q@õ|ۍ1,GpuY Ꮿ@hJv#xxk$ v#9 5 }_$c S#=+"K{F*m7`#%H:NRSp6I?sIՖ{Ap$I$I:QRv2$Z @UJ*$]<FO4IENDB`