![Introducing Enhanced Alert Actions and Triage Functionality](https://cdn.sanity.io/images/cgdhsj6q/production/fe71306d515f85de6139b46745ea7180362324f0-2530x946.png?w=800&fit=max&auto=format)
Product
Introducing Enhanced Alert Actions and Triage Functionality
Socket now supports four distinct alert actions instead of the previous two, and alert triaging allows users to override the actions taken for all individual alerts.
Readme
Python Elasticsearch Mock for test purposes
pip install ElasticMock
To use ElasticMock, decorate your test method with @elasticmock decorator:
from unittest import TestCase
from elasticmock import elasticmock
class TestClass(TestCase):
@elasticmock
def test_should_return_something_from_elasticsearch(self):
self.assertIsNotNone(some_function_that_uses_elasticsearch())
You can also force the behaviour of the ElasticSearch instance by importing the elasticmock.behaviour
module:
from unittest import TestCase
from elasticmock import behaviour
class TestClass(TestCase):
...
def test_should_return_internal_server_error_when_simulate_server_error_is_true(self):
behaviour.server_failure.enable()
...
behaviour.server_failure.disable()
You can also disable all behaviours by calling behaviour.disable_all()
(Consider put this in your def tearDown(self)
method)
server_failure
: Will make all calls to ElasticSearch returns the following error message:
{
'status_code': 500,
'error': 'Internal Server Error'
}
Let's say you have a prod code snippet like this one:
import elasticsearch
class FooService:
def __init__(self):
self.es = elasticsearch.Elasticsearch(hosts=[{'host': 'localhost', 'port': 9200}])
def create(self, index, body):
es_object = self.es.index(index, body)
return es_object.get('_id')
def read(self, index, id):
es_object = self.es.get(index, id)
return es_object.get('_source')
Than you should be able to test this class by mocking ElasticSearch using the following test class:
from unittest import TestCase
from elasticmock import elasticmock
from foo.bar import FooService
class FooServiceTest(TestCase):
@elasticmock
def should_create_and_read_object(self):
# Variables used to test
index = 'test-index'
expected_document = {
'foo': 'bar'
}
# Instantiate service
service = FooService()
# Index document on ElasticSearch
id = service.create(index, expected_document)
self.assertIsNotNone(id)
# Retrive dpcument from ElasticSearch
document = service.read(index, id)
self.assertEquals(expected_document, document)
python term + 1
. If not, the suggestion will be formatted as python {0}_suggestion.format(term)
.
Example:
suggestion_body = {
'suggestion-string': {
'text': 'test_text',
'term': {
'field': 'string'
}
},
'suggestion-id': {
'text': 1234567,
'term': {
'field': 'id'
}
}
}
{
'suggestion-string': [
{
'text': 'test_text',
'length': 1,
'options': [
{
'text': 'test_text_suggestion',
'freq': 1,
'score': 1.0
}
],
'offset': 0
}
],
'suggestion-id': [
{
'text': 1234567,
'length': 1,
'options': [
{
'text': 1234568,
'freq': 1,
'score': 1.0
}
],
'offset': 0
}
],
}
python setup.py test
FAQs
Python Elasticsearch Mock for test purposes
We found that ElasticMock demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
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