improve dict check in py · langgenius/dify#22651

2025-07-18T15:23:42.000Z

### Self Checks - [x] I have read the [Contributing Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) and [Language Policy](https://github.com/langgenius/dify/issues/1542). - [x] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [x] I confirm that I am using English to submit this report, otherwise it will be closed. - [x] Please do not modify this template :) and fill in all the required fields. ### 1. Is this request related to a challenge you're experiencing? Tell me about your story. now a lot of type is bare dict ``` rg ": dict\)" --glob "*.py" | wc -l 165 ``` use pydantic can reduce many dup pattern like ```py if not field: raise ValueError... ``` example #24837 ### 2. Additional context or comments https://lexi-lambda.github.io/blog/2019/11/05/parse-don-t-validate/ ### 3. Can you help us with this feature? - [x] I am interested in contributing to this feature.

(14 comments) (2 reactions) (2 assignees)TypeScript (141,412 stars) (22,210 forks)batch import

good first issue💪 enhancement

Description

Self Checks

I have read the Contributing Guide and Language Policy.
I have searched for existing issues search for existing issues, including closed ones.
I confirm that I am using English to submit this report, otherwise it will be closed.
Please do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing? Tell me about your story.

now a lot of type is bare dict

rg ": dict\)" --glob "*.py" | wc -l
165

use pydantic can reduce many dup pattern like

if not field:
    raise ValueError...

example #24837

2. Additional context or comments

https://lexi-lambda.github.io/blog/2019/11/05/parse-don-t-validate/

3. Can you help us with this feature?

I am interested in contributing to this feature.

Contributor guide

Tech stack: python
Domain: backenddeveloper experience
Issue type: feature
Difficulty: 3
Estimated time: 1-2 days
Activity status: blocked
Clarity: clear
Prerequisites: PythonPydantic basics
Newbie friendliness: 20
Research direction: Identify all occurrences of bare dict types in Python files using the grep command provided. Study existing Pydantic models (e.g., from issue #24837) to understand the pattern, then replace bare dicts with appropriate Pydantic models ensuring proper validation. Coordinate with the two assignees to avoid duplication and align on scope.