The goal of this library is to help you to write property-based tests by utilizing the power of Exop and StreamData.
If you already use Exop it is super easy.
Even if you haven't had Exop in your project yet you can use ExopData - just need to provide
a desirable params description (contract) that conforms Exop operation's contract format (the list of %{name: atom(), opts: keyword()}
).
Not interested in property-based testing, but need to generate data? ExopData will help you with this as well.
Here is the CHANGELOG
It means ExopData supports a certain contract notation version (types, checks, aliases etc.) Usually, ExopData lag behind Exop's new version for some time (depending on Exop's release size and introduced contract notation changes). Please refer to Exop's changes
- Installation
- Why?
- How it works
- Complex data
- Exop operations
- Exop docs
- Generator options
- Limitations
- Configuration
def deps do
[{:exop_data, "~> 0.1.7"}]
end
For either some projects or certain tasks property-based testing allows you to get your code tested and proved for all available cases. But it could be challenging and takes a lot of time to prepare proper data generators. Provide correct generators for relatively complex data types is hard. Such generators take a number of lines in your code, they are hard to read and maintain. It could be repetitive work either.
ExopData offers you a convinient way to generate data based on Exop's operation (which is basically awesome) or on a contract which is defined in delclarative, intuitive way. ExopData easy to use and read. It is simply a joy to write property-based tests with ExopData.
Not interested in getting your code well-organized with Exop nor in property-based testing? Well, consider data generating with ExopData at least.
ExopData generates data with StreamData generators. As an incoming argument ExopData expects an Exop operation module or (if you not ready yet to bring Exop into your project) a contract which describes a set of parameters and their checks (validations). Parameter checks definitions are based (actually they are the same) on Exop's checks.
Simply said, ExopData resolves an incoming contract and generates StreamData generators. At the end you receive a map where keys are parameters names and their values as map values.
As it said earlier, a contract is a way to describe your data expectations.
The easiest way is to define an Exop Operation module.
By invoking YourOperation.contract()
you might see this operation contract which was defined
with parameter
macro.
Basically, a contract is a list of maps [%{name: _param_name, opts: [_param_opts_checks]}]
.
So there is no strict need to have an Exop Operation module defined.
Although in order to describe a parameter checks and options you should use Exop checks.
A contract might look like this:
[
%{name: param_a, opts: [type: :atom, required: false]},
%{name: param_b, opts: [type: :integer, numericality: %{min: 0, max: 10}]},
# more params here
]
In order to generate data you need to prepare a contract, use ExopData
module
and invoke exop_data/2
function. Where the first argument is the contract and the second
are Keyword
list of additional options.
defmodule ExopPropsTest do
use ExUnit.Case, async: true
use ExUnitProperties
@contract [
%{name: :a, opts: [type: :integer, numericality: %{greater_than: 0}]},
%{name: :b, opts: [type: :integer, numericality: %{greater_than: 10}]}
]
property "Multiply" do
check all %{a: a, b: b} <- ExopData.generate(@contract) do
result = MathService.multiply(a, b)
expected_result = a * b
assert result == expected_result
end
end
end
Or if you have an Exop Operation defined:
defmodule MultiplyService do
use Exop.Operation
parameter(:a, type: :integer, numericality: %{greater_than: 0})
parameter(:b, type: :integer, numericality: %{greater_than: 10})
def process(%{a: a, b: b} = _params), do: a * b
end
defmodule ExopPropsTest do
use ExUnit.Case, async: true
use ExUnitProperties
property "Multiply" do
check all %{a: a, b: b} = params <- ExopData.generate(MultiplyService) do
{:ok, result} = MultiplyService.run(params)
expected_result = a * b
assert result == expected_result
end
end
end
In both cases the result will be the same: ExopData takes either the explicit contract or the Operation module (and get it's contract under the hood) and generates a map, where keys are params defined in the contract.
You can use ExopData not only in property tests, but in any place you need to generate data:
contract = [
%{name: :a, opts: [type: :integer, numericality: %{greater_than: 0}]},
%{name: :b, opts: [type: :integer, numericality: %{greater_than: 10}]}
]
#iex> contract |> ExopData.generate() |> Enum.take(5)
[
%{a: 3808, b: 3328},
%{a: 7116, b: 8348},
%{a: 3432, b: 7134},
%{a: 7024, b: 7941},
%{a: 7941, b: 6944}
]
Or with an Exop Operation defined:
defmodule MultiplyService do
use Exop.Operation
parameter(:a, type: :integer, numericality: %{greater_than: 0})
parameter(:b, type: :integer, numericality: %{greater_than: 10})
def process(%{a: a, b: b} = _params), do: a * b
end
#iex> MultiplyService |> ExopData.generate() |> Enum.take(5)
[
%{a: 401, b: 2889},
%{a: 7786, b: 5894},
%{a: 9187, b: 1863},
%{a: 3537, b: 1285},
%{a: 6124, b: 5521}
]
By default a parameter and it's value will always be presented in the resulting map. If a parameter explicitly marked with the check required: false
ExopData generates that parameter occasionally (sometimes there is such parameter in generated data, sometimes not). It allows us to generate fair data with all possible corner-cases for provided contract.
A parameter might have allow_nil: true
option. In this case ExopData put some amount of nil
values into resulting data. This amount is random and > 0.
ExopData allows you to generate pretty complex data structures by using list_item
and inner
parameter checks.
This parameter check defines a specification for all items in a list. It can contain all the possible checks as regular parameter might have.
contract = [
name: :param_list,
opts: [type: :list, list_item: %{type: :string}, length: %{min: 1}]
]
That contract means that we expect :param_list
parameter to be a required list which consist of a number of strings.
length: %{min: 1}
check means we expect to get at least one item in this list.
This check allow you to set expectations on a map parameter consist. Where keys are expected keys of the map parameter and values are their specifications.
contract = [
name: :param_map,
opts: [type: :map, inner: %{
a: [type: :integer],
b: [type: :string, required: false],
c: [type: :list, list_item: %{type: :integer, numericality: %{min: 10}}]
}]
]
Worth to note: keys defined in inner
check will be present in generated map in any case. Additionally there might be a number of keys which were not defined explicitly. This is because ExopData tries to generate different cases, for example: "What if this map contains not only expected set of keys?"
Just kindly remind you: you can create a very complex contract (or describe it in Exop operation) by combining inner
and list_item
checks, make them nested etc.
Something crazy like this:
contract = [
%{
name: :complex_param,
opts: [
type: :map, inner: %{
a: [type: :integer, numericality: %{in: 10..100}],
b: [type: :list, length: %{min: 1}, list_item: %{
type: :map, inner: %{
c: [type: :list, list_item: %{
type: :list, list_item: %{
type: :map, inner: %{
d: [type: :string, length: %{is: 12}]
}
}
}]
}
}]
}
]
}
]
As we mentioned earlier, you can generate data by providing Exop.Operation module.
defmodule MultiplyService do
use Exop.Operation
parameter(:a, type: :integer, numericality: %{greater_than: 0})
parameter(:b, type: :integer, numericality: %{greater_than: 10})
def process(%{a: a, b: b} = _params), do: a * b
end
#iex> MultiplyService |> ExopData.generate() |> Enum.take(5)
[
%{a: 401, b: 2889},
%{a: 7786, b: 5894},
%{a: 9187, b: 1863},
%{a: 3537, b: 1285},
%{a: 6124, b: 5521}
]
So this helps to write tests a lot:
defmodule ExopPropsTest do
use ExUnit.Case, async: true
use ExUnitProperties
property "Multiply" do
check all %{a: a, b: b} = params <- ExopData.generate(MultiplyService) do
{:ok, result} = MultiplyService.run(params)
expected_result = a * b
assert result == expected_result
end
end
end
It has been decided to make this even cleaner with check_operation
macro:
defmodule ExopPropsTest do
use ExUnit.Case, async: true
use ExopData
property "Multiply" do
check_operation(MultiplyService, fn params ->
assert is_intger(params.a)
# you simply should define expected result of an Operation
# under the hood this is compared with MultiplyService.run(params) result
{:ok, params.a * params.b}
end)
end
end
And of course check_operation
still can receive custom generators:
check_operation(MultiplyService, [generators: your_generators], fn params ->
# your checks here
end)
We aren't going to provide a definitive guide for all possible checks and options which might be used in a contract definition, because all of them are described in Exop docs. Please, refer to it if needed.
Sometimes you need to generate complex data or use specific values for your parameters. You can achieve it with custom generators. Take a look at the example:
contract = [
%{name: :email, opts: [type: :string, format: ~r/@/]}
]
Let's say we want to use specific generator for this parameter:
import ExUnitProperties
import StreamData
domains = [
"gmail.com",
"hotmail.com",
"yahoo.com",
]
email_generator =
gen all name <- string(:alphanumeric),
name != "",
domain <- member_of(domains) do
name <> "@" <> domain
end
You just need to pass it to generate
function with path to concrete parameter:
#iex> contract |> ExopData.generate(generators: %{email: email_generator}) |> Enum.take(2)
[%{email: "[email protected]"}, %{email: "[email protected]"}]
The cool thing is that it is also possible to pass specific generators for inner
and list_item
parameters and they can be nested as deep as you want:
contract = [
%{
name: :users,
opts: [
type: :list, list_item: [
type: :map, inner: %{
email: [type: :string, format: ~r/@/]
}
]
]
}
]
#iex> contract |> ExopData.generate(generators: %{users: [%{email: email_generator}]}) |> Enum.take(2)
[
%{users: [%{email: "[email protected]"}]},
%{users: [%{email: "[email protected]"}]}
]
In the example above generators: %{users: [%{email: email_generator}]}
means that there is a custom generator for users
param list item. And since it is a map, we've provided the generator for the particular email
field.
So you can use any StreamData
generators: default or custom.
If you need exact value for your parameter just provide a specific value (implicit generator) or StreamData.constant/1
as custom generator.
For example:
contract = [%{name: :a, opts: [type: :atom]}]
check all params <- generate(contract, generators: %{a: :your_value}) do
assert %{a: :your_value} == params
end
contract = [
%{
name: :a,
opts: [type: :list, inner: %{b: [type: :atom]}]
}
]
check all %{a: a} <- generate(contract, generators: %{a: [b: :your_value]}) do
assert :your_value = a[:b]
end
Under the hood an exact value is wrapped with StreamData.constant/1
and returns a generator, so you can use StreamData.constant/1
itself if you like.
The best way to apply custom generators or certain values is ~g
sigil.
In order to use the sigil you need to add use ExopData
into your tests module.
use ExopData
# let's say you have a contract (or an Operation with such contract)
contract = [
%{
name: :a,
opts: [inner: %{
b: [inner: %{
c: [type: :integer],
e: [inner: %{
f: [type: :atom]
}]
}],
d: [type: :string]
}]
}
]
# and you want :f within (a[:b][:f]) to have a specific value
# you can define it in your custom generators structure:
custom_generators = ~g[
a: %{
b: %{
e: %{
f: :my_atom
}
}
}
]
# or you want :d (a[:d]) to be generated by `StreamData.binary/1` generator:
custom_generators = ~g[
a: %{
d: StreamData.binary()
}
]
# or may be you want to combine:
custom_generators = ~g[
a: %{
b: %{
e: %{
f: StreamData.atom(:alias)
}
},
d: "qwerty"
}
]
# then just pass custom generators to `ExopData.generate/2`:
check all %{a: a} <- generate(contract, generators: custom_generators) do
# your assertions here
end
It is worth to notice:
- an empty map is treated as certain value
- all fields that were ommited in custom generators definition will be generated according to a contract
contract = [
%{
name: :a,
opts: [inner: %{
b: [inner: %{
c: [type: :integer],
e: [inner: %{
f: [type: :atom]
}]
}],
d: [type: :string]
}]
}
]
custom_generators = ~g[
a: %{}
]
#iex> ExopData.generate(contract, generators: custom_generators) |> Enum.take(2)
%{}
%{}
custom_generators = ~g[
a: %{b: %{}}
]
#iex> ExopData.generate(contract, generators: custom_generators) |> Enum.take(2)
%{b: %{}}
%{b: %{}}
custom_generators = ~g[
a: %{b: %{c: 123}}
]
#iex> ExopData.generate(contract, generators: custom_generators) |> Enum.take(1)
%{
b: %{
c: 123,
e: %{
f: :_vk5zBT_2suYbECXGrAxsb2ywyzThN5ql_460eyjNPsmwHEAg16CAf8ceDx7RGGJ_GjJehlieb3z
}
},
d: "n9e"
}
custom_generators = ~g[
a: %{d: "qwe"}
]
#iex> ExopData.generate(contract, generators: custom_generators) |> Enum.take(2)
%{b: %{c: -57, e: %{f: :X@VcshCgqnIthJ@wopGBU@F3Pc5FBxCKFfbKg}}, d: "qwe"}
%{b: %{c: 75, e: %{f: :wAeV3hG}}, d: "qwe"}
Parameter with struct
validation is populated with struct of random data. Imagine we have such contract:
contract = [%{name: :struct_param, opts: [struct: MyStruct]}]
ExopData might generate:
#iex> contract |> ExopData.generate() |> Enum.take(3)
[
%{struct_param: %MyStruct{a: 1}},
%{struct_param: %MyStruct{a: "0"}},
%{struct_param: %MyStruct{a: ""}}
]
You can use exact values or custom generators options to build more specific values.
Sad but true: currently struct
generator is not as efficient as map
generator.
So if you experience performace issues during your property tests, please consider type: :map
in your contract or provide more specific checks for your struct (with inner
for example).
This check usually means "this parameter should be some struct and I don't care which exactly". Even if it is possible to generate some maps with fake __struct__
key, we think that it is not the correct way to do so.
You can use exact values, custom generators, struct: %MyStruct{} or type: :map
.
You can describe your parameters with format based on regular expressions:
contract = [
%{
name: :rsa_fingerprint,
opts: [format: ~r/^(ssh-rsa) ([0-9]{3,4}) ([0-9a-f]{2}:){15}[0-9a-f]{2}$/]
}
]
Thanks to the Randex we can generate data for such parameters as well:
#iex> contract |> ExopData.generate() |> Enum.take(3)
[
%{
rsa_fingerprint: "ssh-rsa 569 60:1b:bd:78:cc:8d:09:b8:ce:ee:0c:45:72:7c:0d:e8"
},
%{
rsa_fingerprint: "ssh-rsa 737 0a:16:df:0a:5d:3b:8b:21:6d:bf:33:bf:06:44:5f:b7"
},
%{
rsa_fingerprint: "ssh-rsa 3019 fc:ca:fe:a8:7c:63:c9:e5:46:0e:a3:e4:be:74:0f:35"
}
]
At the moment Randex doesn't support some regular expressions, check docs for this library to know more. You can use exact values or custom generators options to build more specific values.
Sad but true: generating data based on a regex is time-consuming process. format
check in your operation contract is good for validation, decent enough for just data generating and totally unefficient for property-based tests (as there are a lot of runs, therefore N*t where N is runs amount and t is time needed to generate your data).
ExopData doesn't support data generation for parameters with func
validations, use exact values or custom generators options to build values for such parameters.
In order to speedup your props test during developent you can adjust StreamData
's max_run
configuration options, like this:
config :stream_data, max_runs: (if Mix.env() == :test, do: 50, else: 500)
StreamData
config options (and their defaults):
max_runs: 100,
max_run_time: :infinity,
max_shrinking_steps: 100
Andrey Chernykh (madeinussr)
Aleksandr Fomin (llxff)
Copyright © 2018 - 2020 Andrey Chernykh ( [email protected] )
This work is free. You can redistribute it and/or modify it under the
terms of the MIT License. See the LICENSE file for more details.