Pydantic v1 You can use the extra field in the Config class to forbid extra attributes during model initialisation (by default, additional attributes will be ignored). For example:
raise ValueError(errmsg("Extra data", s, end, len(s))) ValueError: Extra data: line 2 column 1 - line 10 column 1 (char 261900 - 6964758) PS. I use the word record, but that's not the official name. Also, if your file has newline characters like mine, you can loop through it to loads () one record at a time into a json variable.
When using pip to install Python packages, we can set the configurations, so that it can refer to some private repository to install packages. The use case is, for example, for big companies where ...
I have defined a pydantic Schema with extra = Extra.allow in Pydantic Config. Is it possible to get a list or set of extra fields passed to the Schema separately. For ex: from pydantic import BaseM...
If you are using pydantic 2 with pydantic-settings and BaseSettings instead of BaseModel, then set the config value of extra to allow or ignore. This is the new way of ignoring the extra configs in pydantic 2.
I am struggling to figure out exactly how the extra argument for logging works. I have some legacy code I need to change which uses it, and the code also requires logging to stdout. import logging ...
json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 190) [duplicate] Asked 7 years, 11 months ago Modified 2 years, 10 months ago Viewed 319k times
I am using docker-compose to run a test environment, that consists of about 5 different containers. The inter-container links and the shared volumes (volumes-from) works wonderfully. I also expose ...
