I have a project that involves two docker containers, one a web server that interacts with a client, and another a worker server that does stuff in the background. The web server sends data over to the worker via Redis.…
I'm learning Python on VSCode, initially I had installed Python 3.9.2 64 bit on my Debian system, I arrived a part of the course where needed to use. The following line of code: id: str | None Then Python started…
I have some JSON with a structure similar to what is shown below. The threshold list represents objects where the type can be "type": "upper_limit" or "type": "range". Notice the "target" value should be an integer or float depending on…
In the JSON schema produced from a msgspec Struct, I'm wanting to output to the schema some text descriptions of the properties held within the Struct in the same way as the docstring of the Struct shows up in the…
I am writing a script to post data from an internal system to a third party web API. Our internal system uses data Models defined in Pydantic. I am trying to send data in one of these models to the…
I have a model defined like this; class SomeModel(BaseModel): name: str class SomeOtherModel(BaseModel): name: int class MyModel(BaseModel): items: List[Union[SomeModel, SomeOtherModel]] @validator("items", always=True) def validate(cls, value): by_type = list(filter(lambda v: isinstance(v, SomeModel), value)) if len(by_type) < 1: raise ValueError("we need at…
Assume a dictionary with an arbitrary structure, where some values are native Python objects and others are instances of PyDantic's BaseModel subclasses e.g. my_dict = {"key1": "value1", "key2": {"key3": pydantic_object1, "key4": 4}, "key5": pydantic_object2} I want to dump this dictionary…
I'm working on a fastAPI project on an Amazon EC2 instance running Ubuntu 20.04.5. The nature of the project requires me to have several custom types (written by me) and third party types (from HuggingFace transformers, hf peft, Langchain) as…
In the pydantic v1 there was an option to add kwargs which would get passed to json.dumps via **dumps_kwargs. However, in pydantic v2 if you try to add extra kwargs to BaseModel.json() it fails with the error TypeError: `dumps_kwargs` keyword…
This week, I started working with MongoDB and Flask, so I found a helpful article on how to use them together by using PyDantic library to define MongoDB's models. However, the article is somewhat outdated, mostly could be updated to…