Lqj)ddlmZddlZddlmZddlmZmZddl m Z m Z ddl m Z ddlmZddlmZmZdd lmZd d lmZd d lmZd dlmZd dlmZmZmZmZerddlm Z GddeZ!dgZ"y)) annotationsN)Mapping) TYPE_CHECKINGAny) deep_updateis_model_class)is_pydantic_dataclass) FieldInfo)get_args get_origin)is_union_origin)_lenient_issubclass)PydanticBaseEnvSettingsSource) EnvNoneType)_annotation_enum_name_to_val_get_model_fields_union_is_complexparse_env_vars) BaseSettingsceZdZdZ d d fd Zd dZd dZddZddZ d ddZ ddZ dd Z xZ S)EnvSettingsSourcezN Source class for loading settings values from environment variables. c Lt |||||||||n|jjd|_||n|jjd|_|j xsddz |_t|j|_ |j|_ y)Nenv_nested_delimiterenv_nested_max_splitr) super__init__configgetrrmaxsplitlen env_prefixenv_prefix_len_load_env_varsenv_vars) self settings_clscase_sensitiver$rrenv_ignore_emptyenv_parse_none_strenv_parse_enums __class__s s/var/www/html/ai-menu-system/python-ai/venv/lib/python3.12/site-packages/pydantic_settings/sources/providers/env.pyrzEnvSettingsSource.__init__#s  .*6FHZ\k %9$D $++//ZpJq !%9$D $++//ZpJq !227a1< !$//2++- cvttj|j|j|j SN)rosenvironr*r+r,r(s r/r&z EnvSettingsSource._load_env_vars<s*bjj$*=*=t?T?TVZVmVmnnr0cd}|j||D]%\}}}|jj|}|%n|fS)ah Gets the value for field from environment variables and a flag to determine whether value is complex. Args: field: The field. field_name: The field name. Returns: A tuple that contains the value (`None` if not found), key, and a flag to determine whether value is complex. N)_extract_field_infor'r!)r(field field_nameenv_val field_keyenv_namevalue_is_complexs r/get_field_valuez!EnvSettingsSource.get_field_value?s[#595M5MeU_5`  1Ix!1mm''1G"   #333r0c|j|\}}|jrt|j|}||n|}|s|rt |t r|S|!|j |||j}|rO|S |j|||}t |tr't||j |||jS|Sy||Sy#t$r} |s| Yd} ~ Qd} ~ wwxYw)a Prepare value for the field. * Extract value for nested field. * Deserialize value to python object for complex field. Args: field: The field. field_name: The field name. Returns: A tuple contains prepared value for the field. Raises: ValuesError: When There is an error in deserializing value for complex field. N) _field_is_complexr-r annotation isinstancerexplode_env_varsr'decode_complex_value ValueErrordictr) r(r9r8valuer= is_complexallow_parse_failureenum_val env_val_builtes r/prepare_field_valuez%EnvSettingsSource.prepare_field_valueTs"+/*@*@*G' '   3E4D4DeLH%-E8E )%-  $ 5 5j% W  ((  55j%OE eT*&ud.C.CJPUW[WdWd.eff L! L" ./ s7C C CC c|j|rd}d|fStt|jr&t |j|j rd}d|fSy)za Find out if a field is complex, and if so whether JSON errors should be ignored FT)FF)field_is_complexr r rArmetadata)r(r8rIs r/r@z#EnvSettingsSource._field_is_complexsl   '"'  ((( Z(8(89 :?PQVQaQachcqcq?r"& ((( r0c|syt|tr |jn|}t|D]}|j |||}|s|cSt |s t |rt|}|jD]}\}} |j| |D]c\} } } ||r||k(s| |k(s| ccS|j|jk(s"| j|jk(s_| ccSy)aK Find the field in a sub model by key(env name) By having the following models: ```py class SubSubModel(BaseSettings): dvals: Dict class SubModel(BaseSettings): vals: list[str] sub_sub_model: SubSubModel class Cfg(BaseSettings): sub_model: SubModel ``` Then: next_field(sub_model, 'vals') Returns the `vals` field of `SubModel` class next_field(sub_model, 'sub_sub_model') Returns `sub_sub_model` field of `SubModel` class Args: field: The field. key: The key (env name). case_sensitive: Whether to search for key case sensitively. Returns: Field if it finds the next field otherwise `None`. N) rBr rAr next_fieldrr ritemsr7lower) r(r8keyr*rAtype_ type_has_keyfieldsr9f_r<s r/rRzEnvSettingsSource.next_fields@)3E9)EU%%5 j) $E??5#~FL## $ * %)>z)J&z2F"( ! A&*&>&>q*&M!NAx%-%,C#$H#))+syy{:hnn>NRUR[R[R]>]  ! !r0c|jsiS|j}|tuxstt |t}|j ||Dcgc]\}}}||j}}}i} |j D]O\} tfd|D} t| d} | j|j|j^} }| }|}| D]B}|j|||j}t|ts1|j|i}D|j|||j}|s|r\| rZ|r=|j!|\}}|j"r"t%|j| }|| n|} nd\}}|r |j'||| } t|ts-||vst| t*r ||ik(sK| ||<R| Scc}}w#t$rYgwxYw#t($r}|s|Yd}~bd}~wwxYw)a Process env_vars and extract the values of keys containing env_nested_delimiter into nested dictionaries. This is applied to a single field, hence filtering by env_var prefix. Args: field_name: The field name. field: The field. env_vars: Environment variables. Returns: A dictionary contains extracted values from nested env values. c3FK|]}j|s|ywr2) startswith).0prefixr<s r/ z5EnvSettingsSource.explode_env_vars..s[x?R?RSY?Zf[s!!N)TT)rrArFrr r7rSnext StopIterationr#splitr"rRr*rB setdefaultr@r-rrDrEr)r(r9r8r'annis_dictrZr<prefixesresultr:r_env_name_without_prefixkeyslast_keyenv_var target_fieldrUrHallow_json_failurerJrLs ` r/rCz"EnvSettingsSource.explode_env_varss;((I+K!4Z_d!KLPKcKcdikuKv 9GHaxj223 4  "$!)!1$ 0 Hg [8[['/s6{}&= #5;;D~~&&''=d>W>W=Z["114A 7 r0)NNNNNNN)r)ztype[BaseSettings]r* bool | Noner$ str | Nonerrtrz int | Noner+rsr,rtr-rsreturnNone)ruMapping[str, str | None])r8r r9strruztuple[Any, str, bool]) r9rxr8r rGrr=boolrur)r8r ruztuple[bool, bool]r2)r8zFieldInfo | Any | NonerUrxr*rsruzFieldInfo | None)r9rxr8r r'rwruzdict[str, Any])rurx) rq __module__ __qualname____doc__rr&r>rMr@rRrCrr __classcell__)r.s@r/rrs'+!%+/+/(,)-'+.(.$. . ) . ) .&.'.%. .2o4*,\ )"VZ3+3253GR3 3j>@ r0r)# __future__r _annotationsr3collections.abcrtypingrrpydantic._internal._utilsrrpydantic.dataclassesr pydantic.fieldsr typing_extensionsr r typing_inspection.introspectionr utilsrbasertypesrrrrrpydantic_settings.mainrr__all__r0r/rsZ2 # B6%2;(03m 5m `  r0