I have the following hashable pydantic model:

I have the following hashable pydantic model:

I’m new to pydantic, I want to use it for Settings management in my app, I have a monorepo with some overrides. I wonder what is the “Pydantic” way of initializing the Settings class with a dynamic list of .env files.

I’m new to pydantic, I want to use it for Settings management in my app, I have a monorepo with some overrides. I wonder what is the “Pydantic” way of initializing the Settings class with a dynamic list of .env files.

I’m new to pydantic, I want to use it for Settings management in my app, I have a monorepo with some overrides. I wonder what is the “Pydantic” way of initializing the Settings class with a dynamic list of .env files.

Having the following object

I have created a Pydantic model for datetime that will handle parsing a JSON object that looks like { "date": "2021-07-01", "time": "12:36:23" } into datetime(2021, 7, 1, 12, 36, 23). It also generates the correct JSON Schema for the model.

I am trying to update the descriptions of fields in my class such that the original field description is changed from what is defined in the Field function. The example code is below, unfortunately when I call model_json_schema it still prints out Meatball.

I am trying to update the descriptions of fields in my class such that the original field description is changed from what is defined in the Field function. The example code is below, unfortunately when I call model_json_schema it still prints out Meatball.

I’m using Pydantic to define a model where one of the fields, embedding, is expected to be a list[float]. However, I want to be able to pass a string to this field, and then have a validator transform this string into a list[float] before initialization.