Output of python -c "import pydantic.utils; print(pydantic.utils.version_info())":
pydantic version: 1.7.3
pydantic compiled: True
install path: /home/cwu/.cache/pypoetry/virtualenvs/magic-GqpcoQ51-py3.8/lib/python3.8/site-packages/pydantic
python version: 3.8.5 (default, Jul 28 2020, 12:59:40) [GCC 9.3.0]
platform: Linux-5.8.0-44-generic-x86_64-with-glibc2.29
optional deps. installed: ['typing-extensions', 'email-validator']
from __future__ import annotations
from pydantic import BaseModel, Field
def main():
class Nested(BaseModel):
name_nested: str = Field(alias='nameNested')
class M(BaseModel):
nested: Nested # delay via 'Nested' does not help in any case
m = M.parse_obj({'NamEStr': 'dd', 'nested': {'nameNested': ''}})
print(m)
main()
This snippet outputs an error
pydantic.errors.ConfigError: field "nested" not yet prepared so type is still a ForwardRef, you might need to call M.update_forward_refs().
It is interesting that if I move the function body to the module scope, no error; If I remove the top line from __future__ annotations, no error.
I guess this is still a corner case of #1736 and #1668
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4