U
    ZeF                     @   s  d Z ddlZddlZddlZddlmZ ddlmZ zddlmZ W n e	k
rX   Y nX ddl
mZmZmZmZmZmZmZmZmZmZmZ ddlmZ dd	lmZ dd
lmZmZmZmZ ddlm Z  ddl!m"Z" ddl#m$Z$m%Z%m&Z&m'Z' ddl(m)Z)m*Z* ddl+m,Z, erVddl(m-Z- ddl
m.Z.m/Z/ edddZ0eed df Z1G dd dZ2dddddgZ3edZ4ej5dkrVeej6e$fdedddd d d dddd!d"
e7e7e7e7e7e7eeee8 df ee7 ee7 e7eee4 gd#f d$d%dZ9eej6e$fdedddd d d dddd!d"
ee4 e7e7e7e7e7e7eeee8 df ee7 ee7 e7d#d&d'dZ9neej6e$fdedddd d d dddd(	e7e7e7e7e7e7eeee8 df ee7 ee7 eee4 gd#f d)
d*dZ9eej6e$fdedddd d d dddd(	ee4 e7e7e7e7e7e7eeee8 df ee7 ee7 d#d+d,dZ9eej6e$fddMdddd d d dddd d"
eee4  e7e7e7e7e7e7eeee8 df ee7 ee7 e7eeee4 gd#f d#f d&d-dZ9eed e7eed ddf d.d/dZ:G d0d dZ;ed ee e7e<dd1d2d3Z=d#d4d5d6d7Z>ed edd8d9d:Z?edfed ee ee< ed; d<d=dZ@ej5d>krpde<e7d?d@dAZAnde<e7d?dBdAZAdddCdDdEZBde<eddFdGdHZCee e7dIdJdZDed ee d4dKdLdZEdS )NaX  
The main purpose is to enhance stdlib dataclasses by adding validation
A pydantic dataclass can be generated from scratch or from a stdlib one.

Behind the scene, a pydantic dataclass is just like a regular one on which we attach
a `BaseModel` and magic methods to trigger the validation of the data.
`__init__` and `__post_init__` are hence overridden and have extra logic to be
able to validate input data.

When a pydantic dataclass is generated from scratch, it's just a plain dataclass
with validation triggered at initialization

The tricky part if for stdlib dataclasses that are converted after into pydantic ones e.g.

```py
@dataclasses.dataclass
class M:
    x: int

ValidatedM = pydantic.dataclasses.dataclass(M)
```

We indeed still want to support equality, hashing, repr, ... as if it was the stdlib one!

```py
assert isinstance(ValidatedM(x=1), M)
assert ValidatedM(x=1) == M(x=1)
```

This means we **don't want to create a new dataclass that inherits from it**
The trick is to create a wrapper around `M` that will act as a proxy to trigger
validation without altering default `M` behaviour.
    N)contextmanager)wraps)cached_property)TYPE_CHECKINGAnyCallableClassVarDict	GeneratorOptionalTypeTypeVarUnionoverload)dataclass_transform   )gather_all_validators)
BaseConfig
ConfigDictExtra
get_config)ValidationError)DataclassTypeError)Field	FieldInfoRequired	Undefined)create_modelvalidate_model)ClassAttribute)	BaseModel)CallableGeneratorNoArgAnyCallable
DataclassT	Dataclass)boundDataclassProxyc                   @   s   e Zd ZU eeeef  ed< ee ed< eed  ed< ee	 ed< eed  ed< ee	 ed< ee
e  ed< eed gd	f  ed
< ee	 ed< eed	dddZee
d  ddddZee
d eddddZd	S )r$   __dataclass_fields____dataclass_params__).N__post_init____pydantic_run_validation____post_init_post_parse____pydantic_initialised____pydantic_model__N__pydantic_validate_values__#__pydantic_has_field_info_default__argskwargsreturnc                 O   s   d S N selfr1   r2   r5   r5   ;/tmp/pip-unpacked-wheel-bnbn73p_/pydantic/v1/dataclasses.py__init__P   s    zDataclass.__init__r!   clsr3   c                 C   s   d S r4   r5   r;   r5   r5   r8   __get_validators__S   s    zDataclass.__get_validators__r#   r;   vr3   c                 C   s   d S r4   r5   r;   r?   r5   r5   r8   __validate__W   s    zDataclass.__validate__)__name__
__module____qualname__r   r	   strr   __annotations__r   boolr   r    objectr9   classmethodr=   rA   r5   r5   r5   r8   r$   B   s   
	dataclassset_validation$create_pydantic_model_from_dataclassis_builtin_dataclassmake_dataclass_validator_T   
   )Zfield_specifiersTF.
initrepreqorderunsafe_hashfrozenconfigvalidate_on_init	use_proxykw_onlyDataclassClassOrWrapper)rT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   r3   c        
   
      C   s   d S r4   r5   rS   r5   r5   r8   rJ   h   s    )_clsrT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   r3   c       
         C   s   d S r4   r5   )r_   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   r5   r5   r8   rJ   y   s    	rT   rU   rV   rW   rX   rY   rZ   r[   r\   )
rT   rU   rV   rW   rX   rY   rZ   r[   r\   r3   c        	   	      C   s   d S r4   r5   r`   r5   r5   r8   rJ      s    )r_   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r3   c       	   
      C   s   d S r4   r5   )
r_   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r5   r5   r8   rJ      s    c       
            sF   t |tt dd 	f
dd}| dkr>|S || S )a  
    Like the python standard lib dataclasses but with type validation.
    The result is either a pydantic dataclass that will validate input data
    or a wrapper that will trigger validation around a stdlib dataclass
    to avoid modifying it directly
    r^   r:   c              
      s   d k	rn2t | o>| jd tkp>tt| tt| jd k}|rVd}t| }d}nL| jp^d}tjdkrt	j
|  d}nt	j
|  d}d}	d kr|n	}t| || |jjf | j| i |S )Nr    FrP   )rT   rU   rV   rW   rX   rY   r]   )rT   rU   rV   rW   rX   rY   T)rM   	__bases__rH   setdirr&   __doc__sysversion_infodataclassesrJ   #_add_pydantic_validation_attributesr-   Z__try_update_forward_refs__rB   )r;   Zshould_use_proxy
dc_cls_docdc_clsZdefault_validate_on_initZshould_validate_on_init
rV   rY   rT   r]   rW   rU   Z
the_configrX   r\   r[   r5   r8   wrap   sF    *

      zdataclass.<locals>.wrapN)r   r   r   )r_   rT   rU   rV   rW   rX   rY   rZ   r[   r\   r]   rm   r5   rl   r8   rJ      s
    *%)r;   valuer3   c                 c   s$   | j }z|| _ | V  W 5 || _ X d S r4   )r*   )r;   rn   Zoriginal_run_validationr5   r5   r8   rK      s
    
c                   @   s   e Zd ZdZed ddddZeeeddd	Zeed
ddZ	eeddddZ
eedddZd dddZed dddZdS )r&   __dataclass__r$   N)rk   r3   c                 C   s   t | d| d S )Nro   )rH   __setattr__)r7   rk   r5   r5   r8   r9      s    zDataclassProxy.__init__r0   c              
   O   s0   t | jd | j||W  5 Q R  S Q R X d S )NT)rK   ro   r6   r5   r5   r8   __call__  s    zDataclassProxy.__call__)namer3   c                 C   s   t | j|S r4   )getattrro   )r7   rr   r5   r5   r8   __getattr__  s    zDataclassProxy.__getattr__)_DataclassProxy__name_DataclassProxy__valuer3   c                 C   s   t | j||S r4   )setattrro   )r7   ru   rv   r5   r5   r8   rp     s    zDataclassProxy.__setattr__)instancer3   c                 C   s   t || jS r4   )
isinstancero   )r7   rx   r5   r5   r8   __instancecheck__  s    z DataclassProxy.__instancecheck__)r3   c                 C   s   t t| jS r4   )r&   copyro   r7   r5   r5   r8   __copy__  s    zDataclassProxy.__copy__)memor3   c                 C   s   t t| j|S r4   )r&   r{   deepcopyro   )r7   r~   r5   r5   r8   __deepcopy__  s    zDataclassProxy.__deepcopy__)rB   rC   rD   	__slots__r   r9   r   rq   rE   rt   rp   rG   rz   r}   r   r5   r5   r5   r8   r&      s   )rk   rZ   r[   rj   r3   c                    sF  | j tdttdd fddt| drz| jjW n tk
rX   | jY nX tdttdd fdd}t| d	 t| d| n,tdttddfd
d}t| d	| t| dtd| t| dd t| dt	|  | t| dt
 t| dtt t| dtt | jjjrB| jjsBt| dt dS )a  
    We need to replace the right method. If no `__post_init__` has been set in the stdlib dataclass
    it won't even exist (code is generated on the fly by `dataclasses`)
    By default, we run validation after `__init__` or `__post_init__` if defined
    r$   N)r7   r1   r2   r3   c                    s   j tjkr0 f| fdd| D  n`j tjkr| D ]\}} j|| qD f| fdd| D  n f|| d S )Nc                    s    i | ]\}}| j kr||qS r5   r'   .0kr?   r|   r5   r8   
<dictcomp>%  s     
  zR_add_pydantic_validation_attributes.<locals>.handle_extra_init.<locals>.<dictcomp>c                    s    i | ]\}}| j kr||qS r5   r   r   r|   r5   r8   r   *  s     
  )extrar   ignoreitemsZallow__dict__
setdefault)r7   r1   r2   r   r?   )rZ   rT   r|   r8   handle_extra_init"  s    $$z>_add_pydantic_validation_attributes.<locals>.handle_extra_initr)   c                    s^    j dkr| f|| | jjr@|   t| dr@| j||  j dkrZ| f|| d S )NZbefore_validationr+   Zafter_validation)Zpost_init_call	__class__r*   r.   hasattrr+   r6   )rZ   	post_initr5   r8   new_post_init5  s    


z:_add_pydantic_validation_attributes.<locals>.new_post_initr9   c              	      s    | f|| | j jr |   t| dri }t| j j D ]R\}}|jtj	kr>z|| ||j
< W q> tk
r   ||j
|j||j
< Y q>X q>| jf | d S )Nr+   )r   r*   r.   r   	enumerater'   valuesZ_field_typerh   Z_FIELD_INITVARrr   
IndexErrorgetdefaultr+   )r7   r1   r2   Zinitvars_and_valuesif)r   r5   r8   new_initG  s    
z5_add_pydantic_validation_attributes.<locals>.new_initr*   r,   Fr-   r.   rA   r=   rp   )r9   r   r   r   r)   __wrapped__AttributeErrorrw   r   rL   _dataclass_validate_valuesrI   _validate_dataclass_get_validatorsr-   
__config__Zvalidate_assignmentr(   rY   &_dataclass_validate_assignment_setattr)rk   rZ   r[   rj   r   r   r5   )rZ   r   rT   r   r8   ri     s.    
ri   r!   r:   c                 c   s   | j V  d S r4   )rA   r<   r5   r5   r8   r   k  s    r   r>   c              
   C   s   t | dv t|| r.|  |W  5 Q R  S t|ttfrP| | W  5 Q R  S t|trp| f |W  5 Q R  S t| jdW 5 Q R X d S )NT)
class_name)rK   ry   r.   listtupledictr   rB   r@   r5   r5   r8   r   o  s    

r   r    )rk   rZ   rj   r3   c           
      C   s   i }t | D ]t}t}d }|jt jk	r.|j}n|jt jk	rB|j}nt}t|tr\|}d| _	nt
f ||d|j}|j|f||j< qt| }t| jf|| j|ddid|}	|d k	r|n| jpd|	_|	S )NT)r   default_factoryZ__resolve_forward_refs__F)r   rC   Z__validators__Z__cls_kwargs__ra   )rh   fieldsr   r   MISSINGr   r   ry   r   r/   r   metadatatyperr   r   r   rB   rC   re   )
rk   rZ   rj   Zfield_definitionsfieldr   r   Z
field_infoZ
validatorsmodelr5   r5   r8   rL   |  s6    
)rQ      )objr   r3   c                 C   s   t tt| |d tS r4   )ry   rs   r   r   r   r   r5   r5   r8   _is_field_cached_property  s    r   c                 C   s   dS )NFr5   r   r5   r5   r8   r     s    )r7   r3   c                    s   t  drd S t  ddr4 fdd j D }n fdd j D }t j| jd\}}}|rl| j| t dd d S )	Nr,   r/   Fc                    s*   i | ]"\}}t |tst |s||qS r5   )ry   r   r   r   r|   r5   r8   r     s
   
 
 z._dataclass_validate_values.<locals>.<dictcomp>c                    s    i | ]\}}t  |s||qS r5   )r   r   r|   r5   r8   r     s     
  r<   T)	rs   r   r   r   r-   r   updaterH   rp   )r7   Z
input_datad_Zvalidation_errorr5   r|   r8   r     s    

r   )r7   rr   rn   r3   c                 C   sl   | j rZt| j}||d  | jj|d }|rZ|j|||| jd\}}|rZt	|g| jt
| || d S )N)locr;   )r,   r   r   popr-   Z
__fields__r   validater   r   rH   rp   )r7   rr   rn   r   Zknown_fieldZerror_r5   r5   r8   r     s    
r   )r_   r3   c                 C   s2   t | o0t| d o0t| jtt| di S )a  
    Whether a class is a stdlib dataclass
    (useful to discriminated a pydantic dataclass that is actually a wrapper around a stdlib dataclass)

    we check that
    - `_cls` is a dataclass
    - `_cls` is not a processed pydantic dataclass (with a basemodel attached)
    - `_cls` is not a pydantic dataclass inheriting directly from a stdlib dataclass
    e.g.
    ```
    @dataclasses.dataclass
    class A:
        x: int

    @pydantic.dataclasses.dataclass
    class B(A):
        y: int
    ```
    In this case, when we first check `B`, we make an extra check and look at the annotations ('y'),
    which won't be a superset of all the dataclass fields (only the stdlib fields i.e. 'x')
    r-   rF   )rh   Zis_dataclassr   rc   r'   
issupersetrs   )r_   r5   r5   r8   rM     s
    

)rk   rZ   r3   c                 c   s   t t| |ddE dH  dS )z
    Create a pydantic.dataclass from a builtin dataclass to add type validation
    and yield the validators
    It retrieves the parameters of the dataclass and forwards them to the newly created dataclass
    T)rZ   r\   N)r   rJ   )rk   rZ   r5   r5   r8   rN     s    )N)Fre   r{   rh   rf   
contextlibr   	functoolsr   r   ImportErrortypingr   r   r   r   r	   r
   r   r   r   r   r   Ztyping_extensionsr   Zclass_validatorsr   rZ   r   r   r   r   Zerror_wrappersr   errorsr   r   r   r   r   r   mainr   r   utilsr   r    r!   r"   r#   r^   r$   __all__rO   rg   r   rG   rH   rJ   rK   r&   rE   ri   r   r   rL   r   r   r   rM   rN   r5   r5   r5   r8   <module>   sn  !4 
A&	V'