This code simplifies the conversion of Pydantic schemas into Aiogram handler groups, making it easy to create form-filling handlers.
Project description
Pydantic-base-aiogram
This code simplifies the conversion of Pydantic schemas into Aiogram handler groups, making it easy to create form-filling handlers.
Installation
pip install pydantic_base_aiogram
Usage:
>>> from enum import Enum
>>> from typing import Union
>>> from pydantic import BaseModel
>>> from pydantic_base_aiogram import SchemaBaseHandlersGroup
# ----------------------------------------Simple datatypes schema--------------------------------------
>>> class PersonPydanticFormSchema(BaseModel):
... name: str
... age: int
... height: float
...
>>> class PersonFormHanlders(SchemaBaseHandlersGroup[PersonPydanticFormSchema]):
... pass
...
...
>>> dirs = dir(PersonFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, ['name_view', 'age_view', 'height_view']))) == 0
>>> assert PersonFormHanlders(finish_call=None)
# ----------------------------------------Enum datatype schema-----------------------------------------
>>> class Mood(Enum):
... HAPPY = "😄 Happy"
... SAD = "😢 Sad"
... EXCITED = "🤩 Excited"
... RELAXED = "😌 Relaxed"
...
>>>
>>>
>>> class PersonMoodPydanticFormSchema(BaseModel):
... name: str
... current_mood: Mood
...
>>> class PersonMoodFormHanlders(SchemaBaseHandlersGroup[PersonMoodPydanticFormSchema]):
... pass
...
...
>>> dirs = dir(PersonMoodFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, ['name_view', 'current_mood_view']))) == 0
>>> assert PersonMoodFormHanlders(finish_call=None)
# ----------------------------------------Complex schema-----------------------------------------------
>>> class Address(BaseModel):
... street: str
... city: str
... postal_code: str
...
>>> class Person(BaseModel):
... name: str
... age: int
... address: Address
...
...
>>> class PersonFormHanlders(SchemaBaseHandlersGroup[Person]):
... pass
...
...
>>> dirs = dir(PersonFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs,
... ['name_view', 'address_street_view', 'address_city_view', 'address_postal_code_view']
... ))) == 0
...
>>> assert PersonFormHanlders(finish_call=None)
# ------------------------------------Combined Enum datatype schema------------------------------------
>>> class HappyMood(Enum):
... HAPPY = "😄 Happy"
...
>>> class SadMood(Enum):
... SAD = "😢 Sad"
...
>>> class ExcitedMood(Enum):
... EXCITED = "🤩 Excited"
...
>>> class RelaxedMood(Enum):
... RELAXED = "😌 Relaxed"
...
>>>
>>> class PersonMoodPydanticFormSchema(BaseModel):
... name: str
... current_mood: Union[HappyMood, SadMood, ExcitedMood, RelaxedMood]
... future_mood: HappyMood | SadMood | ExcitedMood | RelaxedMood
...
...
>>> class PersonMoodFormHanlders(SchemaBaseHandlersGroup[PersonMoodPydanticFormSchema]):
... pass
...
...
>>> dirs = dir(PersonMoodFormHanlders)
>>> assert len(tuple(filter(lambda x: not x in dirs, ['name_view', 'current_mood_view']))) == 0
>>> assert PersonMoodFormHanlders(finish_call=None)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for pydantic_base_aiogram-1.0.57.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a66f8d1ed121311ba6815bc488f49bf4b12ccdd16b0ea0947bc923564975b58 |
|
MD5 | 11891dd2faa3e05665c5804f81738f59 |
|
BLAKE2b-256 | 3c487f19a8d34f3c1c4a1a22759ab951e518c9d80ba3e5f9ad2a6fbe9b0f51d9 |
Close
Hashes for pydantic_base_aiogram-1.0.57-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2297bd62ad5f7ab11298d55de3013c8bff9339ce100e32017a292d1151cf8e1 |
|
MD5 | 483842d1b4e8d9d6f24182933554c356 |
|
BLAKE2b-256 | c7686d36e51432055e39229c89e289950cc0f4949b9aa058134b86932bd2c460 |