Skip to main content

A library to generate random value for different concepts

Project description

whats the point of this library?

Graba help you to write better tests mixing concepts like "property testing" and "faker" ideas.

This library help you to make clear the concept of a test, but also it help you to explain/document some of your domain concepts.

As an example, a traditional test might look like this:

def test_user_can_delete_post():
  user = User(
    id=11,
    firstname="John",
    email="anemail@gmail.com",
    mobile="666777888"
    role="admin",
    city="NY",
    enable=True,
    department= "management"
  )
  
  post = Post(
    id=22,
    owner=user,
    content="this is the content of my post"
    showed=True
  )
  
  service_post.delete(post)
  
  assert None == service_post.find_post(id=22)

Is a simple example, but you might wonder:

  • is it relevant in the test that mobile?
  • is it relatevant if the user is enabled or the post is now showed?
  • for this test can I create a user with a different role?
  • is it good this combination of values?. For example even if the test pass, in our company an admin user works in the administration department, however this test is very loose, and is passing using department="management"

Graba reduce all this "specification noise", so you focus on the properties that really matter. So this test would look like this:

from graba.main import Any

def test_user_can_delete_post():
  any = Any()
  
  user = User(
    id=         any.positiveNumber(),
    firstname=  any.word(),
    email=      any.email(),
    mobile=     any.mobile(),
    role=       any.of(["admin", "user"]),
    city=       any.word(),
    enable=     True,
    department= any.of([None, "administration", "management"])
  )
  
  post = Post(
    id=         any.positiveNumber(),
    owner=      user,
    content=    any.sentence()
    showed=     any.boolean()
  )
  
  service_post.delete(post)
  
  assert None == service_post.find_post(id=post.id)

This makes clear a few things:

-that the user must be enabled, but also that the role can be multiple, not just "admin" as we specified before.

-it doesnt matter if the post is showed or not

Now we are more clear about our tests values of interests. However still we can missconfigure the initialization of our objects. So lets give an step further


How can you leavarage the most of this library?

This library "shines" when is combined with "builder" pattern, for multiple reasons.

As an example of this:

from app.infrastructure.orm.OrmUser import OrmUser, EnumUserSessionmethod, EnumUserRole
from tests.Any import Any


class BuilderUser:

    def __init__(self):
        any = Any()
      	self.id=any.positiveNumber()
        self.email=any.email()
        self.created_at=any.dateTime()
        self.email=any.email()
        self.email_confirmed=any.bool()
        self.role=any.of(["admin", "user", "manager"])
        self.department=any.of([None, "management", "administration"])
        
    def build(self)->User:
        return User(
            id=self.id,
            email=self.email,
            created_at=self.created_at,
            email_confirmed=self.email_confirmed,
            role=self.role,
            department=self.department
        )

    def admin(self):
      	# now you can see how builder explain different types of initializing things in your applications
        # in this case, we explain that an admin is using admin role, but also is working in administration department
        self.role="admin"
        self.department = "administration"
        return self

    def user(self):
        self.role="user"
        self.department = None
        return self

    def manager(self):
        self.role="manager"
        self.department = "management"
        return self

    def withEmail(self, email):
        self.email=email
        return self

    def withCreatedAt(self, created_at):
        self.created_at=created_at
        return self

    def withEmailConfirmed(self):
        self.email_confirmed = True
        return self

    def withEmailNotConfirmed(self):
        self.email_confirmed = False
        return self
      
class BuilderPost:

    def __init__(self):
        any = Any()
        self.id=any.email()
        self.owner=BuilderUser().build()
        self.content=any.sentene()
        self.showed=any.bool()
        
    def with_owner(self, owner: User):
      self.owner= user
      return self

Then in your tests you use this builder like:

from graba.main import Any

def test_user_can_delete_post():
  any = Any()
  user = BuilderUser()\
            .admin()\
            .withCreatedAt(any.dateTimeAfter(datetime(2024, 12, 16, 14, 30, 0)))\
            .build()
  
  post = BuilderPost()\
            .withOwner(user)\
            .build()
  
  service_post.delete(post)
  
  assert None == service_post.find_post(id=post.id)

Additional features of Graba

You can generate controlled random list of objects:

any = Any()

def createData():
    return {
        "age": any.positiveNumber(),
        "name": any.word()
    }


result = any.listOf(
    min=3,
    max=7,
    factoryFunction=createData
)
print(result)
# [
#     {'age': 7323, 'name': 'vecalmzbdcvdwuqk'},
#     {'age': 9705, 'name': 'bdqqpgtpgbfbci'},
#     {'age': 9656, 'name': 'ojizqxl'}
# ]

You can "pick" random items from a list:

result = any().subsetOf(min=1, max=4, items=["a", "b", "c", "d", "e", "f"])
print(result) # ['d', 'e', 'b']

You can generate random dates upon conditions:

result = any().dateTimeBefore("2022-10-10 23:11:05")
print(result) # 2016-12-28 23:11:05


result = any().datetimeBetween("2023-10-10", "2027-09-09")
print(result) # 2025-08-10 22:00:19

Being realistic: Fuzzy mode

Let's be honest. In real life you cannot expect to recieve all the data "clean". Sometimes you receive a number or a boolean as string, others your strings are not trimmed, others your null are not consisten so you might receive "null", None, "none", etc.

Graba consider that testing all these edge cases and observe how your application performs is of interests. As an example of working with fuzzy mode you can do:

from graba.main import Any

def test_user_can_delete_post():
    any = Any(mode_datadirty=True) # <--- IMPORTANT LINE

    user = User(
        id=         any.positiveNumber(), # This might be one of: 23, "23", "23.0"
        firstname=  any.word(),           # This might be one of: " MYword", "MYword", "MYword ", ...
        email=      any.email(),           
        mobile=     any.mobile(),
        role=       any.of(["admin", "user"]),
        city=       any.word(),
        enable=     True,
        department= any.of([None, "administration", "management"])
    )

    post = Post(
        id=         any.positiveNumber(),   # This might be one of: 34, "34", "34.0"
        owner=      user,
        content=    any.sentence(),
        showed=     any.boolean()           # This might be one of: "true", True, "True", 1
    )

    service_post.delete(post)

    service_post.find_post(id=post.id) # exception!!!!, post.id is not an integer

In this case, fuzzy_mode will teach that might be interesting to check some values in the id and possibly make a proper test. This is so because python is not typed, but with this you can put an extra layer for peace of mind :)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graba-0.3.9.tar.gz (5.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

graba-0.3.9-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file graba-0.3.9.tar.gz.

File metadata

  • Download URL: graba-0.3.9.tar.gz
  • Upload date:
  • Size: 5.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.7

File hashes

Hashes for graba-0.3.9.tar.gz
Algorithm Hash digest
SHA256 d8f26070fff9c6f97e0b9ed71ab9b3a115e2ac2a6e04584c375c4449184d7640
MD5 ed0986ecbcf8fccde7d2b73ff2f385fb
BLAKE2b-256 c6e96795338aed6755cb14690860bb857a894147b2d0fa71d16649168e824da0

See more details on using hashes here.

File details

Details for the file graba-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: graba-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 5.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.7

File hashes

Hashes for graba-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 86bd9f17f17c79e6cae6ab845ddae0034cfe75264a58f8e126f81a46cbd2a5cb
MD5 8d4052d79a847a11f997d97080516817
BLAKE2b-256 1e848bc58c1e98d8fee56e237190a1470a7b15f641b743ff3d0305c6a100c0d4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page