mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +00:00
c0d67420e5
<!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. These live is docs/extras directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17, @rlancemartin. -->
24 lines
897 B
Python
24 lines
897 B
Python
from importlib import metadata
|
|
|
|
## Create namespaces for pydantic v1 and v2.
|
|
# This code must stay at the top of the file before other modules may
|
|
# attempt to import pydantic since it adds pydantic_v1 and pydantic_v2 to sys.modules.
|
|
#
|
|
# This hack is done for the following reasons:
|
|
# * Langchain will attempt to remain compatible with both pydantic v1 and v2 since
|
|
# both dependencies and dependents may be stuck on either version of v1 or v2.
|
|
# * Creating namespaces for pydantic v1 and v2 should allow us to write code that
|
|
# unambiguously uses either v1 or v2 API.
|
|
# * This change is easier to roll out and roll back.
|
|
|
|
try:
|
|
from pydantic.v1 import * # noqa: F403
|
|
except ImportError:
|
|
from pydantic import * # noqa: F403
|
|
|
|
|
|
try:
|
|
_PYDANTIC_MAJOR_VERSION: int = int(metadata.version("pydantic").split(".")[0])
|
|
except metadata.PackageNotFoundError:
|
|
_PYDANTIC_MAJOR_VERSION = 0
|