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Pydantic is a data validation and settings management library for Python, leveraging Python's type hints. It is designed to provide data parsing and validation using Python's type annotations, ensuring that data structures are type-safe and adhere to specified constraints. Pydantic is widely used in applications where data integrity is crucial, such as web APIs, configuration management, and data processing pipelines.
When working with Pydantic, you might encounter the error code value_error.ipv6
. This error typically arises when a field in your data model is expected to contain a valid IPv6 address, but the input provided does not conform to the expected format. This can lead to application crashes or incorrect data handling if not addressed.
The value_error.ipv6
error is triggered by Pydantic's validation mechanism when it attempts to parse a string as an IPv6 address and fails. IPv6 addresses are a specific format of IP addresses that consist of eight groups of four hexadecimal digits, separated by colons. Any deviation from this format, such as incorrect characters or an incorrect number of groups, will result in this error.
To resolve the value_error.ipv6
error, you need to ensure that the data being validated conforms to the IPv6 address format. Here are the steps to fix this issue:
Ensure that the input string is a valid IPv6 address. You can use online tools such as IPv6 Validator to check the format of your address.
Ensure that your Pydantic model is correctly set up to expect an IPv6 address. Here is an example of how to define a field for an IPv6 address:
from pydantic import BaseModel, IPvAnyAddress
class NetworkConfig(BaseModel):
ipv6_address: IPvAnyAddress
The IPvAnyAddress
type allows for both IPv4 and IPv6 addresses, but you can specify IPv6Address
if you want to restrict it to IPv6 only.
After updating your model, test it with a valid IPv6 address to ensure that the error is resolved. Here is an example of a valid IPv6 address: 2001:0db8:85a3:0000:0000:8a2e:0370:7334
.
For more information on Pydantic and its features, you can visit the official Pydantic documentation. Additionally, for a deeper understanding of IPv6 addresses, refer to the IPv6 Wikipedia page.
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