apache/airflow

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

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#57,721 创建于 2025年11月3日

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 (10 评论) (0 反应) (0 负责人)Python (44,809 star) (16,781 fork)batch import
area:APIarea:airflow-ctlgood first issue

描述

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

贡献者指南

技术栈
pythonrest api
领域
backendapideveloper experience
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
half day
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
active
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
PythonPydantic basicsAirflow API knowledge
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
70
研究方向
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.