为什么这不是 Rx 的有效模式？

发布于 2024-07-26 07:37:35 字数 1416 浏览 8 评论 0原文

我使用 YAML 作为 Python 项目的配置文件格式。

最近我发现 Rx 是唯一可用于 Python 和 YAML 的模式验证器。 :-/ Kwalify 可与 YAML 配合使用，但仅适用于 Ruby 和 Java。 :(

我整天都在阅读他们缺乏的文档，但似乎无法编写有效的模式来表示我的文件结构。帮助？

我有以下 YAML 配置文件：

cmd:
  exec: mycmd
  aliases: [my, cmd]
  filter:
    sms: 'regex .*'

load:
  exec: load
  filter:
    sms: 'load: .*$'

echo:
  exec: echo %

我无法表示嵌套结构。什么我希望最外层的项目（在本例中为 cmd、load 和 echo）是一个任意字符串，而“exec”是一个固定字符串和必需的项目；也是固定的，但应该是可选的。过滤器又具有另一组必需和可选的项目，我应该如何用 Rx 表示它？到目前为止，

我有以下模式（在 YAML 中），Rx 无法编译：

type: //rec
required:
  type: //rec
  required:
    exec: //str
  optional:
    aliases:
      type: //arr
      contents: //str
      length: {min: 1, max: 10}
    filter:
      type: //rec
      optional:
        sms: //str
        email: //str
        all: //str

测试这个IPython 给了我这个：

/Rx.py in make_schema(self, schema)
     68       raise Error('invalid schema argument to make_schema')
     69
---> 70     uri = self.expand_uri(schema["type"])
     71
     72     if not self.type_registry.get(uri): raise "unknown type %s" % uri

KeyError: 'type'

这让我相信我没有在某处指定“类型”：-S

有什么想法吗？

我已经厌倦了与这个东西战斗......还有其他方法可以编写模式并使用吗？它来验证我的配置文件吗？

提前致谢，

Ivan

原文

I'm using YAML as a configuration file format for a Python project.

Recently I found Rx to be the only schema validator available for Python and YAML. :-/ Kwalify works with YAML, but it's only for Ruby and Java. :(

I've been reading their lacking documentation all day and just can't seem to write a valid schema to represent my file structure. Help?

I have the following YAML config file:

cmd:
  exec: mycmd
  aliases: [my, cmd]
  filter:
    sms: 'regex .*'

load:
  exec: load
  filter:
    sms: 'load: .*
I'm failing at representing a nested structure. What I want is for the outer-most item (cmd, load and echo, in this case) to be an arbitrary string that in turn contains other items. 'exec' is a fixed string and required item; 'aliases' and 'filter' are also fixed, but should be optional. Filter in turn has another set of required and optional items. How should I represent this with Rx?
So far I have the following schema (in YAML), which Rx fails to compile:
type: //rec
required:
  type: //rec
  required:
    exec: //str
  optional:
    aliases:
      type: //arr
      contents: //str
      length: {min: 1, max: 10}
    filter:
      type: //rec
      optional:
        sms: //str
        email: //str
        all: //str

Testing this in IPython gives me this:
/Rx.py in make_schema(self, schema)
     68       raise Error('invalid schema argument to make_schema')
     69
---> 70     uri = self.expand_uri(schema["type"])
     71
     72     if not self.type_registry.get(uri): raise "unknown type %s" % uri

KeyError: 'type'

Which leads me to believe I'm not specifying "type" somewhere. :-S
Any ideas?
I'm pretty tired fighting with this thing... Is there some other way I can write a schema and use it to validate my configuration files?
Thanks in advance,
Ivan


echo:
  exec: echo %

I'm failing at representing a nested structure. What I want is for the outer-most item (cmd, load and echo, in this case) to be an arbitrary string that in turn contains other items. 'exec' is a fixed string and required item; 'aliases' and 'filter' are also fixed, but should be optional. Filter in turn has another set of required and optional items. How should I represent this with Rx?

So far I have the following schema (in YAML), which Rx fails to compile:

Testing this in IPython gives me this:

Which leads me to believe I'm not specifying "type" somewhere. :-S

Any ideas?

I'm pretty tired fighting with this thing... Is there some other way I can write a schema and use it to validate my configuration files?

Thanks in advance,

Ivan

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一人独醉 2024-08-02 07:37:35

试试这个：

type: //map
values:
  type: //rec
  required:
    exec: //str
  optional:
    aliases:
      type: //arr
      contents: //str
      length: {min: 1, max: 10}
    filter:
      type: //rec
      optional:
        sms: //str
        email: //str
        all: //str

映射可以包含任何字符串作为键，而记录只能包含“必需”和“可选”中指定的键。

Try this:

type: //map
values:
  type: //rec
  required:
    exec: //str
  optional:
    aliases:
      type: //arr
      contents: //str
      length: {min: 1, max: 10}
    filter:
      type: //rec
      optional:
        sms: //str
        email: //str
        all: //str

A map can contain any string as a key, whereas a rec can only contain the keys specified in 'required' and 'optional'.

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