I recently started studyingfastapi and can’t serialize response schema. Got two model object, but I could not bring it to a specific scheme. Without using response_model, I just get the following response: { "OcProduct": { "viewed": 617, "product_id": 160, "model": "name", "stock_status_id": 6, "image": "catalog/product/test.jpg", "status": 1 }, "OcStockStatu": { "name": "Out Of Stock", "language_id":… Read More How to merge multiple models into one common schema in Fastapi

When making an app that uses dependency injection with a list field, the parameter automatically goes to the request body in SwaggerUI: from fastapi import FastAPI, Query, Depends import uvicorn from pydantic import BaseModel, Field from typing import List class QueryParams(BaseModel): name: str = Field(…) ages: List[int] = Field([]) app = FastAPI() @app.get("/test") def test(query:… Read More How to set swagger ui to use list fields in query parameters with FastAPI

I have a json with keys containing characters that a python field name can’t contain: { "mlflow.source.git.commit": "fbe812fe", "other.key": "other.value" } How to use pydantic to parse such a json? I’d like to give it an alias and actual key name, like class Tags(pydantic.BaseModel): commit = field(key="mlflow.source.git.commit", type=str) >Solution : This is possible using pydantic.Field(alias="…"):… Read More pydantic – json keys are not valid python field names

i have 2 optional fields publish and ratings, here is my code class POST(BaseModel): title: str content: str published: bool = True rating: Optional[int] = None They both result in optional field, so what is the difference between two? if i try something like this, this also works class POST(BaseModel): title: str content: str published:… Read More FASTAPI: what is the difference in setting optional fields?

I’m making a model using pydantic and I’d like to declare a field which gen a random value (like an id) every time an object is created. I don’t want to have to pass the value of that field when initializing the object, here is a quick example of what i want using python class… Read More Generate and apply an unique value to a field from a pydantic model each time an object is initialized

I have these two Python classes(Pydantic schemas which represent SQLAlchemy models): class Role(RoleBase): id: int users: list[User] = [] class Config: orm_mode = True class User(UserBase): id: int date_created: datetime.datetime profile_image: Optional[str] = None class Config: orm_mode = True I’ve tried to do it with ForwardRef: User = ForwardRef(‘User’) … users: list[User] = [] or… Read More Can I somehow reference a Python class that is declared later than the class from which I need to reference without changing their order?

For reasons beyond the scope of this question, I’d like to create a dynamic Python-Pydantic class. I’m close, but am not aware of how to add the type hint. Given: class MyClass(BaseModel): class Config: extra = Extra.allow schema_extra = { ‘$id’: "http://my-site.com/production.json", ‘$schema’: "https://json-schema.org/draft/2020-12/schema", ‘title’: ‘pattern="^.+-.*"’ } if __name__ == ‘__main__’: cls = type(‘A’, (MyClass,),… Read More How to set type hint on field when creating dynamically creating a class

According to json-schema.org, it is best practice to include the $id field with objects. I’m struggling with how to get this at the top level, for example; class MySchema(BaseModel): id: str = Field(default="http://my_url/my_schema.json", alias="$id") if __name__ == ‘__main__’: pprint(MySchema.schema()) yields {‘properties’: {‘$id’: {‘default’: ‘http://my_url/my_schema.json’, ‘title’: ‘$Id’, ‘type’: ‘string’}}, ‘title’: ‘MySchema’, ‘type’: ‘object’} How do I… Read More How to include $id fields in Pydantic.schema()

According to json-schema.org, it is best practice to include the $id field with objects. I’m struggling with how to get this at the top level, for example; class MySchema(BaseModel): id: str = Field(default="http://my_url/my_schema.json", alias="$id") if __name__ == ‘__main__’: pprint(MySchema.schema()) yields {‘properties’: {‘$id’: {‘default’: ‘http://my_url/my_schema.json’, ‘title’: ‘$Id’, ‘type’: ‘string’}}, ‘title’: ‘MySchema’, ‘type’: ‘object’} How do I… Read More How to include $id fields in Pydantic.schema()