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-1.0.58.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d4a78b090f9ce5deefd70277a8180f486bae217b806ad4d8ae02d6caf5b6fe9c |
|
MD5 | 96db37fbf90e8eecada2af48826a1971 |
|
BLAKE2b-256 | d3543c5668096ba86cc68668e0cbad2e21b7cc764d7eaece337c38331ac4e332 |
Close
Hashes for pydantic_base_aiogram-1.0.58-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 49b2652debb39eb5714b60e9a44c6c48ba8eef0878a1c756f382a983f9eaa776 |
|
MD5 | e0c867bc9266d92c232114baa8377579 |
|
BLAKE2b-256 | 303370c243913b800e16f74731ccf5634e9a4661b747eba18daa51f6100090de |