Update dependency pydantic to v1.8.2 [SECURITY]

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
pydantic	==1.8.1 -> ==1.8.2

GitHub Vulnerability Alerts

CVE-2021-29510

Impact

Passing either 'infinity', 'inf' or float('inf') (or their negatives) to datetime or date fields causes validation to run forever with 100% CPU usage (on one CPU).
Patches

Pydantic is be patched with fixes available in the following versions:

v1.8.2
v1.7.4
v1.6.2

All these versions are available on pypi, and will be available on conda-forge soon.

See the changelog for details.
Workarounds

If you absolutely can't upgrade, you can work around this risk using a validator to catch these values, brief demo:

from datetime import date
from pydantic import BaseModel, validator

class DemoModel(BaseModel):
date_of_birth: date

@​validator('date_of_birth', pre=True)
def skip_infinite_values(cls, v):
    try:
        seconds = float(v)
    except (ValueError, TypeError):
        return v
    else:
        if seconds == float('inf'):
            return date.max
        elif seconds == float('-inf'):
            return date.min
        else:
            return seconds

Note: this is not an ideal solution (in particular you'll need a slightly different function for datetimes), instead of a hack like this you should upgrade pydantic.

If you are not using v1.8.x, v1.7.x or v1.6.x and are unable to upgrade to a fixed version of pydantic, please create an issue requesting a back-port, and we will endeavour to release a patch for earlier versions of pydantic.
References

This was fixed in commit 7e83fdd.

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Release Notes

samuelcolvin/pydantic

v1.8.2

Compare Source

!!! warning
A security vulnerability, level "moderate" is fixed in v1.8.2. Please upgrade ASAP.
See security advisory CVE-2021-29510

• Security fix: Fix date and datetime parsing so passing either 'infinity' or float('inf')
  (or their negative values) does not cause an infinite loop,
  see security advisory CVE-2021-29510
• fix schema generation with Enum by generating a valid name, #​2575 by @​PrettyWood
• fix JSON schema generation with a Literal of an enum member, #​2536 by @​PrettyWood
• Fix bug with configurations declarations that are passed as
  keyword arguments during class creation, #​2532 by @​uriyyo
• Allow passing json_encoders in class kwargs, #​2521 by @​layday
• support arbitrary types with custom __eq__, #​2483 by @​PrettyWood
• support Annotated in validate_arguments and in generic models with python 3.9, #​2483 by @​PrettyWood

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