Reference library

Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing easy

Validate dict schema at pipeline boundary in Python

This code validates a dictionary against a TypedDict schema at a pipeline boundary, enforcing required fields and types with custom error messages.

validation dict typeddict
Python 
from typing import Any, TypedDict


class Person(TypedDict):
    name: str
    age: int
    email: str


def validate_person(data: dict[str, Any]) -> Person:
    errors: list[str] = []

    if not isinstance(data.get("name"), str) or not data["name"].strip():
        errors.append("name must be a non-empty string")
  …
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