Fanatical Quality(FQ) Engineering in Rackspace VMware Practice Area
Fanatical
Quality(FQ) Engineering in Rackspace VMware Practice Area
In Rackspace's VMware Practice Area, we fee the first-rate of our merchandise very a good deal, and we consider that quality is a crew attempt. The QE team works with the Development team, Project Management group, Product Engineering group, and DevOps group to enhance developed products' first-rate. Our pleasant popular has three key pillars: functionality, performance, and safety. We aim to pick out and connect defects as early as viable to deliver secure purposeful merchandise that performs well for our customers.''
Test method and metho:d
For every new product, the Quality Engineering group
collaborates with all groups to create a product check approach and evaluate
the strategy with all the teams together. The test strategy covers the
subsequent trying out factors:
·
Overview
·
Architecture diagram
·
Project timelines
·
Team contacts
·
Dependencies And integration systems
·
In scope
·
Out of scope
·
Test approach
·
Functional checking out
·
End-to-end (E2E) testing
·
Performance trying out
·
Security trying out
·
Exit criteria
·
Risks and mitigations
The product check approach is a dwelling report. We maintain
updating the file primarily based on changes in the product design, coding, and
testing, and we use the agile development method in VMware Practice Area. For
every dash, the Development crew, QE team, and scrum master create Jira stories
and choose tales composed. The Growth team focuses on product coding and unit
checks. The QE crew focuses on purposeful trying out, cease-to-quit trying out,
overall performance checking out, and security trying out. Any recognized
defects are entered into the Jira gadget so that the improvement group can
verify and fix them as soon as possible. We have automated all our checks to be
included in our products' continuous integration process.
Unit testing
The Development crew is responsible for unit exams to ensure
that all small portions of the code were examined very well. The team is using
the Spock trying framework to create unit check instances. Spock is a trying-out
specification framework for Java and Groovy packages and is a more effective
opportunity to the conventional JUnit stack, as it leverages Groovy features.
Since our merchandise usually has interaction with many internal systems, we
also mock those structured structures. For example, here's a unit check case
for one in all our merchandise:
package com.Rackspace. Do.MVP
import com.Rackspace. Do.MVP.test.support.VmvpConsumerExtensionsBaseSpec
import grails. Util.TypeConvertingMap
import org.spring framework.security.core.user details.UserDetails
import Spock.lang.Shared
import spock.lang.Unroll
/**
* Unit Tests for
AccountShowConsumer.
*/
class AccountShowConsumerSpec extends
VmvpConsumerExtensionsBaseSpec {
AccountShowConsumer consumer
@Shared
VdacFailure
embedFailure
def setup() {
IdentityUser
userDetails = Mock(IdentityUser)
vmvpFactory =
Mock(VmvpFactory)
vmvpFactory.makeAccountDetailsResponse(*_) >>
Mock(AccountDetailsResponse)
consumer = new
AccountShowConsumer() {
@Override
UserDetails getUserDetails() {
return
userDetails
}
}
consumer.rabbitMessagePublisher = rabbitMessagePublisher
consumer.vmvpFactory = vmvpFactory
embedFailure =
new SimpleVdacFailure(httpStatus: 101, errorCode: 'x')
}
@Unroll
def 'test fetch
one account #input'() {
setup:
consumer.vdacDataService = Mock(VdacDataService) {
loadAccount(*_) >> Mock(Account)
}
when:
consumer.handleMessage(new TypeConvertingMap(input), messageContext)
then:
1 *
rabbitMessagePublisher.send(_) >> { rabbitMessageProperties = it[0] }
rabbitMessageProperties.routingKey == REPLY_TO
rabbitMessageProperties.body.view == expView
rabbitMessageProperties.headers["http-status"] ==
expHttpStatus
where:
expHttpStatus
| expView || input
200 | '/account/show' || [accountId: ACCOUNT_ID]
}
}
Functional trying out
Functional testing refers to activities that affirm a
particular action or feature of the code. These are commonly observed inside
the code necessities documentation, even though a few improvement methodologies
paintings from use instances or user testimonies. Functional assessments have a
tendency to answer the question such as "can the user try this" or "does
this unique function painting." Functional test cases have tremendous test
cases and bad instances. We are using WireMock to fake all the external systems
with which our crops interact. WireMock is a flexible API mocking device for
immediate, robust, and comprehensive trying out. We are emerging a collection
of fake web offerings, which allows the impartial manipulate of the nation of
dependencies. This lets us test specific functionality fast, run tests
domestically and on improvement environments, and carry out greater specialized
testing. For instance, here's a practical take a look at the case for one among
our merchandise:
Import unittest
import framework
import framework.Config
import framework.Utils
from framework.Mappings_file_loader import
MappingsFileLoader
from framework.Mock_service_factory import
MockServiceFactory
from qe_coverage.Unittest_decorators import tags,
unless_coverage, classes
elegance vMvpAccountsTest(unittest.TestCase):
@unless_coverage
def setUp(self):
self.Mock_service_factory = MockServiceFactory()
self.Identification = self.Mock_service_factory.Mock_service('identity')
self.Identification.Reset_all_requests()
self.Core =
self.Mock_service_factory.Mock_service('center')
self.Core.Reset_all_requests()
self.Situations = scenario_adapter_factory.Create_scenario_adapter(DatabaseType.POSTGRES,
AppName.VSPOT)
self.Mappings_file_loader = MappingsFileLoader(suite_dir)
self.Mappings_file_loader.Load_mappings_for('users', 'identity',
self.Identity)
self.Vrax =
vRaxApiClient(vrax_url, default_identity_token)
@unless_coverage
def
tearDown(self):
self.Situations.__exit__()
@tags('wonderful',
'TAAS-987', 'p1')
def
test_get_account_by_number(self):
"""
Get account by
means of wide variety glad course with out hyperlinks
"""
accounts =
self.Eventualities.Create_accounts
expected_account = debts.Popitem()
response =
self.Vrax.Vmvp.Accounts.Get_by_number(expected_account.Range)
self.AssertEqual(response.Status_code,
2 hundred)
json_response
= framework.Utils.Validate_json(response.Textual content)
self.AssertTrue(json_response)
account =
AccountObject.Deserialize(json_response)
self.AssertEqual(account.Range, expected_account.Wide variety)
End-to-stop testing
End-to-give up testing tests the functionality of an
application beneath production-like occasions and information to make certain
that it meets the requirement specifications. Once an utility is deployed into
a useful staging environment, the QE team starts operating on the give
up-to-quit checking out. First, we create diverse take a look at scenarios
based on conversations with all groups and record them in our check method.
Then, we use the pytest outline to power the check situations to make sure that
we've sufficient insurance for our applications. We also make our quit-to-stop
take a look at suite available in order that the improvement group can run them
if essential. For example, right here is one take a look at case of our
end-to-end checking out:
@pytest.Mark.Classes('VMVP Accounts')
elegance TestVmvpAccounts:
@pytest.Fixture(autouse=True)
def
expected_virtual_machines(self, vrax_url):
self.Accounts_json =
'account_5002019':
account_5002019.Json(vrax_url),
'account_5002020': account_5002020.Json(vrax_url),
'account_5002021': account_5002023.Json(vrax_url)
@pytest.Mark.RBAC
@pytest.Mark.GET
@pytest.Mark.Tags('nice', 'integration', 'p0', 'TAAS-1453')
def test_vmvp_get_reason_by_number_rbac(self,
vrax_client, rbac_tokens, rbac_roles, environment):
"""
Validate RBAC
for endpoint from CSV
:param
vrax_client: fixture of common vRaxApiClient(with out evasion_token)
:param rbac_marks:
fixture of list of dicts [role:token,role:token]
:param rbac_parts:
listing of roles to be tested from person.Json
:param
environment: fixture of staging, improvement, manufacturing
"""
if environment
== "manufacturing":
pytest.Skip("RBAC exams can most effective run on improvement or
staging")
approach =
"vmvp.Money owed.Get_by_number"
def
call_method(token): return
vrax_client.Vmvp.Accounts.Get_by_number(account_number=TestAccounts.Money
owed[0], token=token)
achievement,
errors = framework.Rbac.Call_rbac(csv_file=csv_file,
approach=technique,
call_technique=call_technique,
api_client_way_header=api_client_way_header,
rbac_parts=rbac_parts,
rbac_tokens=rbac_tokens)
assert
achievement, "Error in RBAC: ".Layout(errors)
@pytest.Mark.GET
@pytest.Mark.Tags('wonderful', 'integration', 'p1', 'TAAS-1177', 'TAAS-1255',
'TAAS-1272', 'TAAS-1371', 'TAAS-1564')
def
test_vmvp_getaccount(self, vrax_api):
"""
Validate glad
direction
https://one.Rackspace.Com/pages/viewpage.Motion?Name=Phase+1+-+API+Contracts&spaceKey=mgdvirtdev#Phase1-APIContracts-GET/managed-virt/accountId
:param
vrax_api: vrax api consumer to invoke the api
:go back: 200
achievement
"""
self._sound_and_validate_embeds_and_links(vrax_api, embed=[])
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