Ii;SrSSKrSSKrSSKrSSKJrJrJrJrJ r SSK J r \\\ \4\\\ \\\ S4r"SS\R"5r"SS\R&5rS \S \ R*4S jrg) a Type Adapter to convert Python-native types into CEL structures. Currently, Atomic Python objects have direct use of types in :mod:`celpy.celtypes`. Non-Atomic Python objects are characterized by JSON and Protobuf objects. This module has functions to convert JSON objects to CEL. The protobuf decoder is TBD. A more sophisticated type injection capability may be needed to permit additional types or extensions to :mod:`celpy.celtypes`. N)AnyDictListUnioncast)celtypesc ^\rSrSrSr\S\RS\\R\ \ \ \ \ 4\ 44Sj5r S\RS\4U4SjjrS\RS\4U4SjjrSrU=r$) CELJSONEncoder&z An Encoder to export CEL objects as JSON text. This is **not** a reversible transformation. Some things are coerced to strings without any more detailed type marker. Specifically timestamps, durations, and bytes. cel_objectreturnc[U[R5(a U(aS$S$[U[R5(a&UVs/sHn[R U5PM sn$[U[R 5(aLUR5VVs0sH.up#[R U5[R U5_M0 snn$U$s snfs snnf)aRecursive walk through the CEL object, replacing BoolType with native bool instances. This lets the :py:mod:`json` module correctly represent the obects with JSON ``true`` and ``false``. This will also replace ListType and MapType with native ``list`` and ``dict``. All other CEL objects will be left intact. This creates an intermediate hybrid beast that's not quite a :py:class:`celtypes.Value` because a few things have been replaced. TF) isinstancerBoolTypeListTyper to_pythonMapTypeitems)r itemkeyvalues 3/venv/lib/python3.13/site-packages/celpy/adapter.pyrCELJSONEncoder.to_python.s j("3"3 4 4%4 05 0  H$5$5 6 6?IJztN,,T2zJ J  H$4$4 5 5#-"2"2"4"4JC((-~/G/G/NN"4   Ks C"5C"cH>[TU][RU55$)zL Override built-in encode to create proper Python :py:class:`bool` objects. )superencoder rselfr __class__s rrCELJSONEncoder.encodeEsw~n66zBCCcn>[U[R5(a [U5$[U[R5(a [U5$[U[R 5(a%[ R"U5RS5$[[[TU]1U55$)NASCII) rr TimestampTypestr DurationType BytesTypebase64 b64encodedecoderJSONrdefaultrs rr,CELJSONEncoder.defaultKs j("8"8 9 9z? "  H$9$9 : :z? "  H$6$6 7 7##J/66w? ?egoj9: :r!)__name__ __module__ __qualname____firstlineno____doc__ staticmethodrValuerrrrboolrr%rr+r,__static_attributes__ __classcell__rs@rr r &s +0cDQTVYQYN\`1`+a,DDCD ;(..;T;;r!r c@^\rSrSrSrSS\S\S\4U4SjjjrSrU=r $) CELJSONDecoderVz An Encoder to import CEL objects from JSON to the extent possible. This does not handle non-JSON types in any form. Coercion from string to TimestampType or DurationType or BytesType is handled by celtype constructors. source_wr c8>[TU]U5n[U5$N)rr* json_to_cel)rr=r>raw_jsonrs rr*CELJSONDecoder.decode^s7>&)8$$r!r.r@) r/r0r1r2r3r%rr*r7r8r9s@rr;r;Vs'%S%c%S%%r!r;documentr c [U[5(a[R"U5$[U[5(a[R "U5$[U[ 5(a[R"U5$[U[5(a[R"U5$Ucg[U[[45(a0[R"UVs/sHn[U5PM sn5$[U[5(aL[R"UR!5VVs0sHup#[U5[U5_M snn5$[U["R"5(a[R$"U5$[U["R&5(a[R("U5$[+S[-U5SU<35es snfs snnf)aConvert parsed JSON object from Python to CEL to the extent possible. It's difficult to distinguish strings which should be timestamps or durations. :: >>> from pprint import pprint >>> from celpy.adapter import json_to_cel >>> doc = json.loads('["str", 42, 3.14, null, true, {"hello": "world"}]') >>> cel = json_to_cel(doc) >>> pprint(cel) ListType([StringType('str'), IntType(42), DoubleType(3.14), None, BoolType(True), MapType({StringType('hello'): StringType('world')})]) Nzunexpected type z in JSON structure )rr6rrfloat DoubleTypeintIntTyper% StringTypetuplerrrArrrdatetimer$ timedeltar& ValueErrortype)rDrrrs rrArAcs(D!!  ** He $ $""8,, Hc " ")) Hc " """8,,   Hudm , ,  +3 484[ 8 4   Hd # #DLNNDT UDTjc[ {51 1DT U   Hh// 0 0%%h// Hh00 1 1$$X..+DN+;;Nxl[\\ 5 Vs G"4!G' )r3r(rLjsontypingrrrrrcelpyrr%r6rFrHr+ JSONEncoderr JSONDecoderr;r5rAr.r!rrUs  // T#s(^T#YeS#t CD-;T%%-;` %T%% %&]$&]8>>&]r!