Latest release 1.6.0 (Jan 22 - 2017) - Python YAML/JSON/Data schema validation library
the license is almost as open as possible https://tldrlegal.com/license/mit-license
You can basiccly do almost what you want with the code
You can basiccly do almost what you want with the code
Since I will continue using it. How should I proceed if I found any other bugs?
Should I open an issue for tracking it (independently if I solve ir or not)?
I'd like to do something like this:
schema;locschema:
type: seq
sequence:
- type: map
mapping:
location:
type: map
mapping:
name:
type: str
directives:
type: map
matching-rule: 'any'
mapping:
regex;(.+):
type: str
locations:
include: locschema
required: false type: map
mapping:
locations:
include: locschema
I do hope that what you are asking for is possible to do because the defenition of a schema is loaded directly but the include is layz loaded during runtime and then it should work with recursive schema
Cool that you put it onto gentoo, thanks :)
Do you have some
@jlec do you havet som link or something that can be viewed about the gentoo package?
We have the gitweb for the raw package file, we have an official and a nicer unofficial package DB site.
the package DBs aren't updated yet, so it will need some time until it appears there
Hi @Grokzen, I stumbled upon your project while searching for a way of having strict schema for my yaml-based data (I'm using YAML files to configure a Puppet-based product I'm working on), and I was wondering if you knew about any tool, ideally using pykwalify, to do schema migrations (like alembic allows for SQLAlchemy-based schemas)
I only use pykwalify for validating schemas that is either manually created by humans to ensure that they do nothing wrong, or very simple automated datas structures created by code in a "unit test" kind of a way to ensure that noone has broken any features or broken code
I have never seen anyone that uses a migration for json/yaml config files or other kinds of data structures
it usually only makes sense to have it in scenarios like SQL
Indeed, I have no idea how it could work out. I guess I'm merely trying to find a way of automating the edition of YAML files (i.e. moving from a sequence to a mapping with generated keys for a given data, to reflect a change in "API") with the kind of incremental changes that alembic allows for SQL
(For context's sakes: my Puppet-based product is configured through YAML, and said product is currently in ~50 separated forks all stemming from the same upstream. Being able to make incremental, automated and "atomic"(?) changes to the schema would be a huge simplification over my maintenance work)
expected result is
schema;foo:
type: map
mapping:
"bar":
type: any
"foobar":
type: any
no it is not possible to just replace at the current place where the include is used
however, when I try installing pykwalify[ruamel] it still tries to install pyyaml behind the scene
can you let know if this can be possible
Hi all!
Grokzen/pykwalify#144 hints at you being able to set defaults for scalar values. How does that work? Is it possible to get out the the data structure representation of the YAML after validation?
Grokzen/pykwalify#144 hints at you being able to set defaults for scalar values. How does that work? Is it possible to get out the the data structure representation of the YAML after validation?
My guess is that PyKwalify will fill in the defaults if the scalars are not set right? Which means that I'd need to get at that actual dict.
mattiasb @mattiasb reads the pykwalify code a lot to find out stuff, would love more API documentation (but I understand how spare time projects work ♥)