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# why schemas? it is a way to define the structure of the data sent to the server and the data received from the server | |
from pydantic import BaseModel, Field | |
import datetime as dt | |
# template for user data. this is used to validate the data sent to the server | |
class userBase(BaseModel): | |
first_name: str = Field(...) | |
last_name: str = Field(...) | |
email: str = Field(...,) | |
class userCreate(userBase): | |
password: str = Field(...) # hashed password | |
class Config: | |
orm_mode = True # to tell pydantic to read the data even if it is not a dict but an ORM model | |
schema_extra = { | |
"example": { | |
"first_name": "John", | |
"last_name": "Doe", | |
"email": "[email protected]", | |
"password": "password", | |
} | |
} | |
class User(userBase): | |
user_id: int | |
class Config: | |
orm_mode = True | |
class TodoBase(BaseModel): | |
task_name: str | |
task_description: str | |
priority: int | |
category: str | |
due_date: dt.date | |
status: bool = False | |
class TodoCreate(TodoBase): | |
pass | |
class Todo(TodoBase): | |
todo_id: int | |
user_id: int | |
class Config: | |
orm_mode = True | |