# Openmock
Mock/fake of opensearch library, allows you to mock opensearch-py
Fork of Python Elasticsearch(TM) Mock. Sometimes the developers who work with elasticsearch (TM),
don't really have any input in choice of host and need to get work done.
 [](https://pepy.tech/project/openmock/month)
## Installation
```shell
pip install openmock
```
## Usage
To use Openmock, decorate your test method with **@openmock** decorator:
```python
from unittest import TestCase
from openmock import openmock
class TestClass(TestCase):
@openmock
def test_should_return_something_from_opensearch(self):
self.assertIsNotNone(some_function_that_uses_opensearch())
```
### Custom Behaviours
You can also force the behaviour of the OpenSearch instance by importing the `openmock.behaviour` module:
```python
from unittest import TestCase
from openmock 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)
#### Available Behaviours
- `server_failure`: Will make all calls to OpenSearch returns the following error message:
```python
{
'status_code': 500,
'error': 'Internal Server Error'
}
```
## Code example
Let's say you have a prod code snippet like this one:
```python
import opensearchpy
class FooService:
def __init__(self):
self.es = opensearchpy.OpenSearch(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')
```
Then you should be able to test this class by mocking OpenSearch using the following test class:
```python
from unittest import TestCase
from openmock import openmock
from foo.bar import FooService
class FooServiceTest(TestCase):
@openmock
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 OpenSearch
id = service.create(index, expected_document)
self.assertIsNotNone(id)
# Retrive document from OpenSearch
document = service.read(index, id)
self.assertEquals(expected_document, document)
```
## Notes:
- The mocked **search** method returns **all available documents** indexed on the index with the requested document type.
- The mocked **suggest** method returns the exactly suggestions dictionary passed as body serialized in OpenSearch.suggest response. **Attention:** If the term is an *int*, the suggestion will be `python term + 1`. If not, the suggestion will be formatted as `python {0}_suggestion.format(term) `.
Example:
- **Suggestion Body**:
```python
suggestion_body = {
'suggestion-string': {
'text': 'test_text',
'term': {
'field': 'string'
}
},
'suggestion-id': {
'text': 1234567,
'term': {
'field': 'id'
}
}
}
```
- **Suggestion Response**:
```python
{
'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
}
],
}
```
## Testing
Preferred for testing one version of python.
```bash
pytest test
```
Won't catch pytest tests.
```bash
python -m unittest
```
We are trying to support a full matrix of openmock versions and python versions 3.6+. This is slow.
```bash
tox
```
## Changelog
#### 2.1.0:
- Update function (Thanks!)
- tox runs against full matrix
- Range queries (Thanks!)
#### 2.0.0:
- Fork from elasticmock
## License
MIT with normalize_host.py being Apache 2 from Elasticsearch.
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