Devicetree Schema Documentation and Validation
Devicetree Schema Documentation
and Validation
Grant Likely - Arm
Devicetree Schema Documentation and
Validation
The problem: too easy to get devicetree wrong
¡ñ Data must be encoded in very specific ways
¡ñ Toolchain provides little validation
¡ñ No checks against documented schema (aka. bindings)
¡ð
¡ð
Schemas are loosely structure prose
Not machine readable
¡ñ Steep learning curve
Project Goals
¡ñ Define a DT schema language
¡ð
¡ð
¡ð
Human friendly
Machine readable
Include binding documentation
¡ñ Better tooling
¡ð
¡ð
¡ð
Validate DTS files at build time
Validate DT Schema files are in the correct format
Useful error and warning messages
¡ñ Leverage existing technology
¡ð
Use existing schema validation framework
¡ö
¡ð
¡ð
Extended to handle quirks of DT
Don¡¯t write a lot of code!
Don¡¯t define an entirely new language!
¡ñ Generate Specification Documentation from Schema files
Prototype Implementation
Based on:
¡ñ Python3
¡ñ YAML 1.2 file format
¡ñ JSON Schema vocabulary
¡ð
As implemented in Python jsonschema library
¡ñ Sphinx-Doc extension
~250 lines of python code
~250 lines of metaschema files
~250 lines of schema files
YAML File Format
¡ñ Human friendly
¡ñ Portable
¡ñ Structured
¡ñ Simple transcode DTS to YAML
¡ñ Extensible with custom datatypes
¡ñ Superset of JSON
%YAML 1.2
--YAML: YAML Ain't Markup Language
What It Is: YAML is a human friendly data serialization
standard for all programming languages.
YAML Resources:
YAML 1.2 (3rd Edition):
YAML 1.1 (2nd Edition):
YAML 1.0 (1st Edition):
YAML Issues Page:
YAML Mailing List: yaml-core@lists.
YAML IRC Channel: "#yaml on irc."
YAML Cookbook (Ruby):
(local)
YAML Reference Parser:
Projects:
C/C++ Libraries:
- libyaml
#
- Syck
#
- yaml-cpp
#
Python:
- PyYAML
#
- ruamel.yaml
#
"C" Fast YAML 1.1
(dated) "C" YAML 1.0
C++ YAML 1.2 implementation
YAML 1.1, pure python and libyaml binding
YAML 1.2, update of PyYAML with round-tripping
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- validate json against schema java example
- devicetree schema documentation and validation
- json online validator schema
- json file errors and possible suggestions actions to be
- flask json schema validation
- validate json against schema python
- using validate tool
- vbscript validate json against schema
- cisac iswc database json format microsoft
- munit validate json schema
Related searches
- history and physical documentation guide
- medical student documentation and cms
- history and physical documentation guid
- ich harmonised trpartite guideline validation analytical procedures
- validation analytical procedures step 4 2005
- validation procedures q2 r1 step 4 2005
- history and physical documentation guidelines
- history and physical documentation requirements
- excel data validation multi select
- equipment validation fda guidance
- difference between schema and schemata
- gxp validation process