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Schema validation library for data structure objects in declarative DSL-powered style.

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SmartCore::Schema · Supported by Cado Labs · Gem Version

SmartCore::Schema is a schema validator for Hash-like data structures (Array-like - coming soon) in declarative DSL-powered style.

Provides convenient and concise DSL to define complex schemas in easiest way and public validation interface to achieve a comfortable work with detailed validation result.

Supports nested structures, type validation (via smart_types), required- and optional- schema keys, strict and non-strict schemas, schema value presence validation, schema inheritance (soon), schema extending (soon) and schema composition (soon).

Works in predicate style and in OOP/Monadic result object style. Enjoy :)


Supported by Cado Labs


Installation

gem 'smart_schema'
bundle install
# --- or ---
gem install smart_schema
require 'smart_core/schema'

Synopsis

  • key requirement: required and optional;
  • type validation: type;
  • nil control: filled;
  • nested definitions: do ... end;
  • supported types: see smart_types gem;
  • strict modes and strict behavior: strict!, non_strict!, schema(:strict), schema(:non_strict);
  • :strict is used by default (in first schema invokation);
  • you can make non-strict inner schemas inside strict schemas (and vise-versa);
  • inner schemas inherits their's mode from their's nearest outer schema (and can have own mode too);
class MySchema < SmartCore::Schema
  # you can mark strict mode in root schema here:
  #
  # non_strict!
  #
  # -- or --
  #
  # strict!

  schema do # or here with `schema(:strict)` (default in first time) or `schema(:non_strict)`
    required(:key) do
      # inherits `:strict`
      optional(:data).type(:string).filled
      optional(:value).type(:numeric)
      required(:name).type(:string)

      required(:nested) do
        # inherits `:strict`
        optional(:version).filled
      end

      optional(:another_nested) do
        non_strict! # marks current nested schema as `:non_strict`
      end
    end

    required(:another_key).filled
  end
end
# you can open already defined schema and continue schema definitioning:

schema do
  required(:third_key).filled.type(:string)
end
# you can redefine strict behavior of already defined schema:

schema(:non_strict) do
  # ...
end

# -- or --
schema do
  non_strict!
end

# -- or --
non_strict!
# you can redefine nested schema behavior:

schema do
  optional(:another_nested) do
    strict! # change from :non_strict to :strict
  end
end
MySchema.new.valid?({
  key: {
    data: '5',
    value: 1,
    name: 'D@iVeR'
    nested: {}
  }
  another_key: true
}) # => true

MySchema.new.valid?({
  key: {
    data: nil,
    value: 1,
    name: 'D@iVeR'
    nested: {}
  }
}) # => false (missing :another_key, key->data is not filled)
result = MySchema.new.validate(
  key: { data: nil, value: '1', name: 'D@iVeR' },
  another_key: nil,
  third_key: 'test'
)

# => outputs:
#  #<SmartCore::Schema::Result:0x00007ffcd8926990
#  @errors={"key.data"=>[:non_filled], "key.value"=>[:invalid_type], "key.nested"=>[:required_key_not_found], "another_key"=>[:non_filled], "third_key"=>[:extra_key]},
#  @extra_keys=#<Set: {"third_key"}>,
#  @spread_keys=#<Set: {}>, (coming soon (spread keys of non-strict schemas))
#  @source={:key=>{:data=>nil, :value=>"1", :name=>"D@iVeR"}, :another_key=>nil, :third_key=>"test"}>

result.success? # => false
result.spread_keys # => <Set: {}> (coming soon (spread keys of non-strict schemas))
result.extra_keys # => <Set: {"third_key"}>
result.errors # =>
{
  "key.data"=>[:non_filled],
  "key.value"=>[:invalid_type],
  "key.nested"=>[:required_key_not_found],
  "another_key"=>[:non_filled],
  "third_key"=>[:extra_key]
}

Possible errors:

  • :non_filled (existing key has nil value);
  • :invalid_type (existing key has invalid type);
  • :required_key_not_found (required key does not exist);
  • :extra_key (concrete key does not exist in schema);

Roadmap

  • (x.x.x) - support for .cast in type definitions;
  • (x.x.x) - mutable schemas (value convertion during schema checking with returning the new coerced data structure);
  • (x.x.x) - public interface for type aliasing (custom type alias registration API);
  • (x.x.x) - support for Array-like data structures;
  • (0.x.0) - an abiltiy to represent the required schema as a string (conviniet way to check what schema is defained internally when we work wtih a dynamic schema definition or in a console);
  • (0.x.0) - migrate to GitHub Actions (CI);
  • (0.x.0) - value-validation layer;
  • (0.x.0) - error messages (that are consistent with error codes), with a support for error-code-auto-mappings for error messages via explicit hashes or via file (yaml, json and other formats);
  • (0.6.0) - support for Array-type in schema definition;
  • (0.6.0) - spread keys of non-strict schemas in validation result;
  • (0.7.0) - schema inheritance;
  • (0.7.0) - schema composition (required(:key).schema(SchemaClass)) (compose_with(AnotherSchema));
  • (0.7.0) - dependable schema checking (sample: if one key exist (or not) we should check another (or not), and vice verca) (mb if(:_key_) rule);
  • (0.8.0) - smart_type-system integration;
  • (0.9.0) - support for another data structures (such as YAML strings, JSON strings, Struct, OpenStructs, custom Objects and etc);
  • (0.10.0) - mixin-based implementation;
  • (0.x.0) - think about pattern matching;
  • (0.x.0) - dependable schema checks: we can conditionally check some parts of schema stracture that depends on schema key values;
  • (0.x.0) - support for dynamic keys, when the key name can have any name and can be a value or a schema;
    # PROPOSAL:
    
    required(:some_key) do
      dynamic do # dynamic schema
        required(:kek).type(:string).filled
      end
    
      dynamic.type(:integer).filled # dynamic key
    end

Build

  • run tests:
bundle exec rake rspec
  • run code style checks:
bundle exec rake rubocop
  • run code style checks with auto-correction:
bundle exec rake rubocop -A

Contributing

  • Fork it ( https://github.com/smart-rb/smart_schema )
  • Create your feature branch (git checkout -b feature/my-new-feature)
  • Commit your changes (git commit -am '[feature_context] Add some feature')
  • Push to the branch (git push origin feature/my-new-feature)
  • Create new Pull Request

License

Released under MIT License.

Supporting

Supported by Cado Labs

Authors

Rustam Ibragimov

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Schema validation library for data structure objects in declarative DSL-powered style.

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