apache/airflow

Improve the error message when a required field from the API is not provided

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#57721 opened on Nov 3, 2025

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 (10 comments) (0 reactions) (0 assignees)Python (44,809 stars) (16,781 forks)batch import
area:APIarea:airflow-ctlgood first issue

Description

Use pydantic is_required() and ask users to fill in before sending requests or building it. Auto-generate appropriate messages Combine with #57634 if possible

Contributor guide

Tech stack
pythonrest api
Domain
backendapideveloper experience
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
PythonPydantic basicsAirflow API knowledge
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70
Research direction
The issue is to improve error messages for required fields in Airflow's REST API using Pydantic's `is required()` method. Start by examining the current error handling in Airflow's API endpoints, likely in `airflow/api connexion/endpoints/`. Look at how Pydantic models are used for request validation and where validation errors are caught. The maintainers mentioned combining with issue #57634, so review that issue for context. Implement a helper that automatically generates user friendly messages when a required field is missing, similar to what `is required()` provides. Ensure the solution integrates with existing error response formats and adds tests for the new behavior.