g3fi?~dZddlmZddlZddlZddlZddlmZmZddl m Z ddl m Z ddl mZddlmZmZmZmZmZddlZdd lmZmZmZmZdd lmZmZdd lmZmZdd l m!Z!dd l"m#Z#ddl$m%Z%m&Z&m'Z'ddl(m)Z)m*Z*ddl+m,Z,ddl-m.Z.er ddl m/Z/ddl0m1Z1edZ2Gdde*e3e&feee2Z4ddZ5ddZ6ddZ7y)z Base class for prompt templates.) annotationsN)ABCabstractmethod)Mapping)cached_property)Path) TYPE_CHECKINGAnyGenericTypeVarcast) BaseModel ConfigDictFieldmodel_validator)Selfoverride) ErrorCodecreate_message)dumpd)BaseOutputParser)ChatPromptValueConcrete PromptValueStringPromptValue)RunnableConfigRunnableSerializable) ensure_config)create_model_v2)Callable)DocumentFormatOutputTypeceZdZUdZded< egZded< eedZded < d Z d ed < ee Z ded< d Z ded< d Z ded< e dd+dZed,dZed-dZedZed.dZeed/dZed0d1dZd2dZd3dZ d3dZe d0 d4d Ze d0 d4d!Zed5d"Z d5d#Z!d6d$Z"d7d%Z#ed8d&Z$d8d'Z%ed9d(Z&d:fd) Zd;d*Z'xZ(S)<BasePromptTemplatez8Base class for all prompt templates, returning a prompt. list[str]input_variables)defaultoptional_variablesT)default_factoryexcludeztyping.Dict[str, Any] input_typesNzBaseOutputParser | None output_parser)r(zMapping[str, Any]partial_variablesztyping.Dict[str, Any] | Nonemetadatazlist[str] | Nonetagsafter)modecd|jvr&d}tt|tjd|j vr&d}tt|tjt |jj|j }|r)d|}tt|tj|S)z8Validate variable names do not include restricted names.stopzTCannot have an input variable named 'stop', as it is used internally, please rename.message error_codezVCannot have an partial variable named 'stop', as it is used internally, please rename.z/Found overlapping input and partial variables: )r% ValueErrorrrINVALID_PROMPT_INPUTr,set intersection)selfmsgoveralls Y/var/www/auto_recruiter/arenv/lib/python3.12/site-packages/langchain_core/prompts/base.pyvalidate_variable_namesz*BasePromptTemplate.validate_variable_namesHs T)) )" sy7U7UV  T++ +- sy7U7UV d**+889O9OP CG9MCsy7U7UV  c gdS)z~Get the namespace of the LangChain object. Returns: `["langchain", "schema", "prompt_template"]` ) langchainschemaprompt_templateclss r=get_lc_namespacez#BasePromptTemplate.get_lc_namespaceds :9r?cy)z,Return `True` as this class is serializable.TrDrEs r=is_lc_serializablez%BasePromptTemplate.is_lc_serializablemsr?)arbitrary_types_allowedc,tdt|S)Ndict[str, Any])r rr:s r= _serializedzBasePromptTemplate._serializedvs $eDk22r?cttzS)z%Return the output type of the prompt.)rrrMs r= OutputTypezBasePromptTemplate.OutputType}s!#:::r?c |jDcic]%}||jj|tdf'}}|jDcic]%}||jj|tdf'}}t di||Scc}wcc}w)zGet the input schema for the prompt. Args: config: Configuration for the prompt. Returns: The input schema for the prompt. .N PromptInput)field_definitions)r%r*getstrr'r)r:configkrequired_input_variablesoptional_input_variabless r=get_input_schemaz#BasePromptTemplate.get_input_schemas=AB=T=T$ 89A  $$Q,d3 3$  $  V!9V=UV  $ $ s *B *B c ht|tsvt|jdk(r|jd}||i}nLd|jj dt |d}tt|tj|}t|jj|}|rd|jj d|d |jd t|j}|j}|d |d |d z }t!t|tj|S)Nrz"Expected mapping type as input to z . Received .r3z Input to z is missing variables z . Expected: z Received: z Note: if you intended {zb} to be part of the string and not a variable, please escape it with double curly braces like: '{{z}}'.) isinstancedictlenr% __class____name__type TypeErrorrrr7r8 differencelistkeyspopKeyError)r: inner_inputvar_name inner_input_r;missing example_keys r=_validate_inputz"BasePromptTemplate._validate_inputsR+t,4''(A-//2 (+6 99P9P8QR $[ 12!5 " # 0N0N 'Ld**+66|D DNN3344J7)T"223d<#4#4#678:  "++-K ,[M:#}F, C sy7U7UV r?cH|j|}|jdi|SNrD)ro format_promptr:rjrls r="_format_prompt_with_error_handlingz5BasePromptTemplate._format_prompt_with_error_handlings(++K8 !t!!1L11r?cdK|j|}|jdi|d{S7wrq)roaformat_promptrss r=#_aformat_prompt_with_error_handlingz6BasePromptTemplate._aformat_prompt_with_error_handlings4++K8 (T((8<8888s '0.0c t|}|jri|d|j|d<|jr|dxx|jz cc<|j|j||d|j S)zInvoke the prompt. Args: input: Input to the prompt. config: Configuration for the prompt. Returns: The output of the prompt. r-r.promptrun_type serialized)rr-r._call_with_configrtrNr:inputrVkwargss r=invokezBasePromptTemplate.invokes~v& ==!HF:$6!H$--!HF:  99 6Ndii 'N%%  3 3  '' &  r?c0Kt|}|jr|dj|j|jr|dj |j|j |j ||d|jd{S7w)zAsync invoke the prompt. Args: input: Input to the prompt. config: Configuration for the prompt. Returns: The output of the prompt. r-r.ryrzN)rr-updater.extend_acall_with_configrwrNr~s r=ainvokezBasePromptTemplate.ainvokesv& == :  % %dmm 4 99 6N ! !$)) ,,,  4 4  '' -    sB BBBc y)zCreate `PromptValue`. Args: **kwargs: Any arguments to be passed to the prompt template. Returns: The output of the prompt. NrDr:rs r=rrz BasePromptTemplate.format_promptr?c.K|jdi|Sw)zAsync create `PromptValue`. Args: **kwargs: Any arguments to be passed to the prompt template. Returns: The output of the prompt. rD)rrrs r=rvz!BasePromptTemplate.aformat_prompts"t!!+F++c |jj}tt|jj ||d<i|j ||d<t|di|S)zReturn a partial of the prompt template. Args: **kwargs: Partial variables to set. Returns: A partial of the prompt template. r%r,rD)__dict__copyrfr8r%rer,rc)r:r prompt_dicts r=partialzBasePromptTemplate.partialsqmm((* )- $$ % 0 0 8* %&,Pd.D.D+O+O '(tDz(K((r?c |jjDcic]\}}|t|s|n|}}}i||Scc}}wN)r,itemscallable)r:rrWvpartial_kwargss r=!_merge_partial_and_user_variablesz4BasePromptTemplate._merge_partial_and_user_variables!sW:>9O9O9U9U9W 15AA q ,  ,.+F++ sAc y)aFormat the prompt with the inputs. Args: **kwargs: Any arguments to be passed to the prompt template. Returns: A formatted string. Example: ```python prompt.format(variable1="foo") ``` NrDrs r=formatzBasePromptTemplate.format(rr?c.K|jdi|Sw)a%Async format the prompt with the inputs. Args: **kwargs: Any arguments to be passed to the prompt template. Returns: A formatted string. Example: ```python await prompt.aformat(variable1="foo") ``` rD)rrs r=aformatzBasePromptTemplate.aformat8st{{$V$$rct)zReturn the prompt type key.)NotImplementedErrorrMs r= _prompt_typezBasePromptTemplate._prompt_typeHs "!r?c t|di|}tjt5|j |d<ddd|S#1swY|SxYw)zReturn dictionary representation of prompt. Args: **kwargs: Any additional arguments to pass to the dictionary. Returns: Dictionary representation of the prompt. _typeNrD)super model_dump contextlibsuppressrr)r:rrras r=r_zBasePromptTemplate.dictMsRg(262  !4 5 5#'#4#4K  5 5s AAcJ|jr d}t||j}d|vrd|d}t|t |}|j }|j dd|jdk(r5|jdd 5}tj||d d d d y |jjdr5|jdd 5}tj||dd d d y |d}t|#1swYy xYw#1swYy xYw)aSave the prompt. Args: file_path: Path to directory to save prompt to. Raises: ValueError: If the prompt has partial variables. ValueError: If the file path is not json or yaml. NotImplementedError: If the prompt type is not implemented. Example: ```python prompt.save(file_path="path/prompt.yaml") ``` z*Cannot save prompt with partial variables.rzPrompt z does not support saving.T)parentsexist_okz.jsonwzutf-8)encoding)indentN)z.yamlz.ymlF)default_flow_stylez must be json or yaml) r,r6r_rrparentmkdirsuffixopenjsondumpendswithyaml)r: file_pathr;r save_pathdirectory_pathfs r=savezBasePromptTemplate.save[s-  ! !>CS/ !iik + %D6!:;C%c* *O "))TD9   w &g6 4! +q3 4 4    & &'8 9g6 D! +qUC D DK45CS/ ! 4 4 D Ds D D DD")returnr)rr$)rbool)rrL)rr r)rVRunnableConfig | Nonerztype[BaseModel])rjr rr_)rjr_rr)rr_rVrrr rr)rr rr)rzstr | Callable[[], str]rr#)rr rrL)rr rr!)rrU)rr rr_)rz Path | strrNone))rb __module__ __qualname____doc____annotations__rr'r_r*r+r,r-r.rr> classmethodrGrIr model_configrrNpropertyrrPrZrortrwrrrrrrvrrrrrr __classcell__)ras@r=r#r#'sC%*"$5 5 */tT)RK&R.2M*1M+0+F(F .2H*1*!D !&'"#6:: $L33  ;;  *"H299 9 ;?  #8 KN   2;?  #8 KN   2   ,) ,    % "" ("r?r#cd|ji|j}t|jj |}t |dkDrU|jDcgc] }|dk7s | }}d|dt |d}tt|tj|jDcic]}||| c}Scc}wcc}w)N page_contentrz?Document prompt requires documents to have metadata variables: z+. Received document with missing metadata: r]r3) rr-r8r%rer`rfr6rrr7)docry base_infomissing_metadataivrequired_metadatar;rWs r=_get_document_infors!1!1BS\\BI6112==iH q // 23GB  N !!L$%&a )  393Q3Q R  &,%;%; <Ay|O <<  =s C&C0 Cc:|jdit||S)aFormat a document into a string based on a prompt template. First, this pulls information from the document from two sources: 1. `page_content`: This takes the information from the `document.page_content` and assigns it to a variable named `page_content`. 2. `metadata`: This takes information from `document.metadata` and assigns it to variables of the same name. Those variables are then passed into the `prompt` to produce a formatted string. Args: doc: `Document`, the `page_content` and `metadata` will be used to create the final string. prompt: `BasePromptTemplate`, will be used to format the `page_content` and `metadata` into the final string. Returns: String of the document formatted. Example: ```python from langchain_core.documents import Document from langchain_core.prompts import PromptTemplate doc = Document(page_content="This is a joke", metadata={"page": "1"}) prompt = PromptTemplate.from_template("Page {page}: {page_content}") format_document(doc, prompt) >>> "Page 1: This is a joke" ``` rD)rrrrys r=format_documentrs!D 6== ;-c6: ;;r?cVK|jdit||d{S7w)a0Async format a document into a string based on a prompt template. First, this pulls information from the document from two sources: 1. `page_content`: This takes the information from the `document.page_content` and assigns it to a variable named `page_content`. 2. `metadata`: This takes information from `document.metadata` and assigns it to variables of the same name. Those variables are then passed into the `prompt` to produce a formatted string. Args: doc: `Document`, the `page_content` and `metadata` will be used to create the final string. prompt: `BasePromptTemplate`, will be used to format the `page_content` and `metadata` into the final string. Returns: String of the document formatted. NrD)rrrs r=aformat_documentrs*. B"4S&"AB BB Bs )'))rr ryBasePromptTemplate[str]rr_)rr ryrrrU)8r __future__rrrtypingabcrrcollections.abcr functoolsrpathlibrr r r r r rpydanticrrrrtyping_extensionsrrlangchain_core.exceptionsrrlangchain_core.loadr"langchain_core.output_parsers.baserlangchain_core.prompt_valuesrrrlangchain_core.runnablesrrlangchain_core.runnables.configrlangchain_core.utils.pydanticrrlangchain_core.documentsr r!r_r#rrrrDr?r=rs&" ##%== BB,?%? J99(1-.\"{*+S':J2K\"~ =$"