Das Recht โ A concise rule engine to express and enforce rules for selections, permissions and the like
Das Recht enables you to customize your application's behavior based on simple rules, without the need of a database or an expensive query engine.
const recht = new Recht()
recht.rules = [
['DENY', 'T-shirts', 'S', ['Black', 'Blue']],
['DENY', 'T-shirts', ['M', 'L'], 'Black'],
['ALLOW', 'T-shirts', '*', '*']
]
recht.check('T-shirts', 'S', 'Black') // false
recht.check('T-shirts', 'M', 'Blue') // true
recht.check('T-Shirts', 'L', 'Black') // false
Features
- Declarative, logic-less rules
- Lightweight, zero dependencies
- Generic engine for any application
- Wildcard support for arbitary conditions
- Simple recommendation engine for the closest alternative available
- Ordered rules for lighter expressions
Possible use cases
- Access control lists to manage whether a given user has permission on a resource
- Feature toggling to determine which features to show in a certain environment (QA, UA, Production)
- A/B testing to determine which features are available to which category of users
- E-commerce applications where some product variants may be unavailable (disabling black shirts only for size S)
Table of Contents
- Features
- Possible use cases
- Usage
- Advanced options
- API Documentation
- Recht
- Instance properties
- rules โ Array.<Rule>
- dimensions โ Array.<Dimension>
- Instance methods
- Static methods
- Instance properties
- Type definitions
- Recht
- Contribution
- MIT License
Usage
Installation
Install Recht via npm:
$ npm install recht
Setting up
Require and instantiate Recht.
const Recht = require('recht')
const recht = new Recht()
Defining rules
Recht accepts an array of rules, which are arrays of conditions in themselves. A rule may either be an ALLOW
rule or a DENY
rule, the first element of the rule array should always be either ALLOW
or DENY
.
If a condition matches an ALLOW
rule, the check will return true
. If a condition matches a DENY
rule, the check will return false
. Recht will go through the rules in the rules
array one by one in the order of declaration, and return as soon as any of the rules match. Therefore, the order of the rules are very important. If there's no match, the check will fail and return false
.
const Recht = require('recht')
const recht = new Recht()
recht.rules = [
['ALLOW', ['Master', 'Developer'], 'push', '*'], // allow masters & developers to push to any branch
['ALLOW', 'Master', 'force push', 'master'], // allow masters to force push to the master branch
['DENY', 'QA', 'clone', 'production'], // disallow QA from cloning production
['ALLOW', '*', 'clone'], // allow anyone to clone any branch
]
Checks
Once you define your rules, you can check any condition against them with the check
method. The following example checks if the 'Developer'
can 'push'
to 'master'
.
recht.check('Developer', 'push', 'master')
If you are only interested whether a 'Developer'
can push to any branch at all, you can omit the last argument and call the check
function with only two arguments as the following:
recht.check('Developer', 'push')
This feature is useful for checking group matches or hierarchical structures. It assumes the rest of the arguments can be of any value. If you wish to keep one of the latter arguments, but use the any value mechanism in one of the earlier arguments, you can use [wildcards][#wildcards].
Wildcards
Recht accepts '*'
as a wildcard condition. In this case, any value for that condition will be accepted as a match. The following example gives anybody clone access to any branch.
recht.rules = [
['ALLOW', '*', 'clone']
]
Read on to Dimensions to learn how to constraint the wildcard to only accept known values.
Dimensions
Each rule in the rule set should include the same number of conditions in them. In the following example there are 3 conditions in each rule.
recht.rules = [
['ALLOW', 'Gold member', ['Mon', 'Tue', 'Wed', 'Thu', 'Fri'], ['Swimming pool', 'Gym', 'Sauna']],
['DENY', 'Guest', ['Mon', 'Tue'], 'Sauna'],
['ALLOW', ['Guest', 'Regular member'], '*', '*']
]
The set of possible values for a condition is called a dimension. The first dimension is the membership type, the second dimension is the facilities a member has access to, and the last one is the days the the facilities can be used. These dimensions can be expressed as follows:
const memberships = ['Gold member', 'Regular member', 'Guest']
const days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri']
const facilities = ['Swimming pool', 'Gym', 'Sauna']
If these values are known ahead of time and passed to Recht, Recht opens up two further features. The first one is constraining the wildcard: without defining dimensions, a wildcard accepts any arbitrary value, and this might be an unwanted case. The following example uses dimensions to constrain the wildcard to known values:
recht.check('Guest', 'Sat') // true, since no dimensions are defined yet
recht.dimensions = [memberships, days, facilities]
recht.check('Guest', 'Sat') // false, since Sat isn't included in the days dimension
The first check passes, because initially we haven't defined the dimensions and the rules accept a wildcard for days. As we define the dimensions, the second check fails because Sat
is not an element in the days
dimension.
recht.dimensions = [memberships, facilities, days]
recht.check('')
Finding the closest alternatives available
Once you have defined dimensions, Recht can be used to predict the closest choice available. This is a very handy feature if you want to show what is possible for a given rule set. See the following example on how to make the best of this feature:
const Recht = require('recht')
const recht = new Recht()
const memberships = ['Gold Member', 'Regular member', 'Guest']
const days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri']
const facilities = ['Swimming pool', 'Gym', 'Sauna']
recht.dimensions = [memberships, days, facilities]
recht.rules = [
['ALLOW', 'Gold member', '*', '*'],
['DENY', 'Guest', ['Mon', 'Tue'], 'Sauna'],
['ALLOW', ['Guest', 'Regular member'], '*', '*']
]
recht.check('Guest', 'Mon', 'Sauna') // false
recht.closest('Guest', 'Mon', 'Sauna') // ['Guest, 'Wed', 'Sauna']
recht.closest('Guest', 'Mon', 'Sauna', facilities) // ['Guest', 'Mon', 'Swimming pool']
In this example, Guests can't use the Sauna
on Mon
, therefore the check fails. Recht assumes that the last dimension, although the final chain in the hierarchy, is the stationary choice when we are looking for alternatives. Therefore, when invoked with the same arguments, closest
gives us Wed
, which is the next day a Guest
can use the Sauna
.
If we would like to start the search for the closest alternative from the last dimension (i.e, facilities), we can do so by indicating which dimension we want the closest
search to start from. This happens as a result of passing the dimension as the last argument to the closest
call. Notice that closest
takes advantage of references, therefore the dimension that we pass in as the last argument to the closest
call has to be a member of the original dimensions
array.
In this case, the answer will be Swimming pool
. This means that if a Guest
is looking for alternatives that they can use on Mon
only, they can use the Swimming pool
.
Since the last argument can be any dimension, one last example question we can ask Recht
is the following: "What kind of a membership do I need in order to be able to use the Sauna
on Mon
?" This call is as follows:
recht.closest('Guest', 'Mon', 'Sauna', memberships) // ['Regular member', 'Mon', 'Sauna']
As you see, Recht is capable of several advanced use cases. The closest
search is very handy if you are building a feature set and want to guide your users to the right selection for certain features they want.
Advanced options
Functional usage
Recht can be used as a functional library without instantiation. The following example also works:
const recht = require('recht')
const memberships = ['Gold Member', 'Regular member', 'Guest']
const days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri']
const facilities = ['Swimming pool', 'Gym', 'Sauna']
const dimensions = [memberships, days, facilities]
const rules = [
['ALLOW', 'Gold member', '*', '*'],
['DENY', 'Guest', ['Mon', 'Tue'], 'Sauna'],
['ALLOW', ['Guest', 'Regular member'], '*', '*']
]
recht.check({ rules }, 'Guest', 'Mon', 'Sauna') // false
recht.closest({ rules, dimensions }, 'Guest', 'Mon', 'Sauna') // ['Guest, 'Wed', 'Sauna']
recht.closest({ rules, dimensions }, 'Guest', 'Mon', 'Sauna', facilities) // ['Guest', 'Mon', 'Swimming pool']
Here we didn't have to instantiate a Recht instance and pass in the rules. Instead, we used the statically available check
and closest
methods and passed in rules and dimensions as parameters.
Other methods for closest alternative
The default closest
method gives you an array of conditions that shows you exactly which conditions were matched. If you are using some sort of a state management solution, you can directly destruct this array and set it as your state. While this covers most of the use cases, certain other alternatives exist to get the best out of Recht.
closestValue
gives you the single, simple value that had to change in order to satisfy the condition. This is easier to use than the normal closest
method in cases where the dimension of this value is known beforehand.
closestVerbose
gives you a more detailed object that also returns information about the dimension and the dimension index that the change had to take place.
API Documentation
Recht
Class exposed by require('recht')
. A concise rule engine to express and enforce rules for selections, permissions and the like.
Example
const Recht = require('recht')
const recht = new Recht()
Instance properties
Array.<
Rule
>
rules โ Rule
s define which conditions to ALLOW
or DENY
.
Array.<
Dimension
>
dimensions โ Dimension
s define the set of possible values for each Condition
in a Rule
.
Instance methods
boolean
check(...conditions) โ Check function receives an arbitrary number of conditions. Returns a boolean
whose value depends on whether the given conditions match the definitions.
Parameters
...conditions
...string
Conditions to check if they are allowed within the given rule definition.
Returns
boolean
Whether the given condition set is allowed according to the definitions.
Throws
Error
Throws if no rules or conditions are provided.
ConditionsResult
closest(...conditions) โ Searches for the closest alternative to a given condition. Requires dimensions
to be set. It recursively searches an alternative starting from a specified dimension. If no dimensions are specified, the starting dimension is always the penultimate dimension. This method returns a set of conditions that is the closest alternative to the given set or null if no matches are found.
Parameters
...conditions
...string
Conditions to look for the closest alternative allowed by the rules
set.
Returns
ConditionsResult
The matching conditions as an array.
Throws
Error
Throws if no dimensions are provided.
ValueResult
closestValue(...conditions) โ Searches for the closest alternative to a given condition. Requires dimensions
to be set. It recursively searches an alternative starting from a specified dimension. If no dimensions are specified, the starting dimension is always the penultimate dimension. This method returns a simple value of a given condition, or null if no matches are found. Since the return value is a simple value, this method is only useful if the dimension is not known beforehand. For more information on the search result, use closest
or closestVerbose
.
Parameters
...conditions
...string
Conditions to look for the closest alternative allowed by the rules
set.
Returns
ValueResult
The matching condition as a simple value.
Throws
Error
Throws if no dimensions are provided.
VerboseResult
closestVerbose(...conditions) โ Searches for the closest alternative to a given condition. Requires dimensions
to be set. It recursively searches an alternative starting from a specified dimension. If no dimensions are specified, the starting dimension is always the penultimate dimension. This method returns a verbose object (VerboseResult
) that returns the dimension
, dimensionIndex
, value
and conditions
that make up the closest alternative.
Parameters
...conditions
...string
Conditions to look for the closest alternative allowed by the rules
set.
Returns
VerboseResult
The matching condition as a simple value.
Throws
Error
Throws if no dimensions are provided.
Static methods
boolean
Recht.check(definitions, ...conditions) โ Check function receives a Definitions
object with dimensions
and rules
, and an arbitrary number of conditions. Returns a boolean
whose value depends on whether the given conditions match the definitions.
Parameters
definitions
Definitions
An object with dimensions
and rules
.
...conditions
...string
Conditions to check if they are allowed within the given rule definition.
Returns
boolean
Whether the given condition set is allowed according to the definitions.
Throws
Error
Throws if no rules or conditions are provided.
ConditionsResult
Recht.closest(definitions, ...conditions) โ Searches for the closest alternative to a given condition. Requires dimensions
to be set. It recursively searches an alternative starting from a specified dimension. If no dimensions are specified, the starting dimension is always the penultimate dimension. This method returns a set of conditions that is the closest alternative to the given set or null if no matches are found.
Parameters
definitions
Definitions
An object with dimensions
and rules
.
...conditions
...string
Conditions to look for the closest alternative allowed by the rules
set.
Returns
ConditionsResult
The matching conditions as an array.
Throws
Error
Throws if no dimensions are provided.
ValueResult
Recht.closestValue(definitions, ...conditions) โ Searches for the closest alternative to a given condition. Requires dimensions
to be set. It recursively searches an alternative starting from a specified dimension. If no dimensions are specified, the starting dimension is always the penultimate dimension. This method returns a simple value of a given condition, or null if no matches are found. Since the return value is a simple value, this method is only useful if the dimension is not known beforehand. For more information on the search result, use closest
or closestVerbose
.
Parameters
definitions
Definitions
An object with dimensions
and rules
.
...conditions
...string
Conditions to look for the closest alternative allowed by the rules
set.
Returns
ValueResult
The matching condition as a simple value.
Throws
Error
Throws if no dimensions are provided.
VerboseResult
Recht.closestVerbose(definitions, ...conditions) โ Searches for the closest alternative to a given condition. Requires dimensions
to be set. It recursively searches an alternative starting from a specified dimension. If no dimensions are specified, the starting dimension is always the penultimate dimension. This method returns a verbose object (VerboseResult
) that returns the dimension
, dimensionIndex
, value
and conditions
that make up the closest alternative.
Parameters
definitions
Definitions
An object with dimensions
and rules
.
...conditions
...string
Conditions to look for the closest alternative allowed by the rules
set.
Returns
VerboseResult
The matching condition as a simple value.
Throws
Error
Throws if no dimensions are provided.
Type definitions
This is a list of pseudo-types that are used throughout the documentation.
Dimension
Array.<string>
Rule
Array.<string>
Definitions
{dimensions: Array.<Dimension>, rules: Array.<Rule>}
Conditions
Array.<string>
ValueResult
string
ConditionsResult
Array.<string>
VerboseResult
{dimension: Dimension, dimensionIndex: number, value: string, conditions: Conditions}
Contribution
Recht is under development, and is open to suggestions and contributions.
If you would like to see a feature implemented or want to contribute a new feature, you are welcome to open an issue to discuss it and we will be more than happy to help.
If you choose to make a contribution, please fork this repository, work on a feature and submit a pull request.
MIT License
Copyright (c) 2018 Armagan Amcalar
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.