Skip to main content
Version: 1.4.0 (latest)

extract.validation

PydanticValidator Objects

class PydanticValidator(ValidateItem, Generic[_TPydanticModel])

[view_source]

__call__

def __call__(item: TDataItems, meta: Any = None) -> TDataItems

[view_source]

Validate a data item against the pydantic model

create_item_validator

def create_item_validator(
columns: TTableHintTemplate[TAnySchemaColumns],
schema_contract: TTableHintTemplate[TSchemaContract] = None
) -> Tuple[Optional[ValidateItem], TTableHintTemplate[TSchemaContract]]

[view_source]

Creates item validator for a columns definition and a schema_contract

Returns a tuple (validator, schema contract). If validator could not be created, returns None at first position. If schema_contract was not specified a default schema contract for given validator will be returned

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

DHelp

Ask a question

Welcome to "Codex Central", your next-gen help center, driven by OpenAI's GPT-4 model. It's more than just a forum or a FAQ hub – it's a dynamic knowledge base where coders can find AI-assisted solutions to their pressing problems. With GPT-4's powerful comprehension and predictive abilities, Codex Central provides instantaneous issue resolution, insightful debugging, and personalized guidance. Get your code running smoothly with the unparalleled support at Codex Central - coding help reimagined with AI prowess.