forked from django-haystack/django-haystack
/
mocks.py
147 lines (109 loc) · 4.74 KB
/
mocks.py
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from django.db.models.loading import get_model
from haystack.backends import BaseEngine, BaseSearchBackend, BaseSearchQuery, log_query
from haystack.models import SearchResult
from haystack.routers import BaseRouter
from haystack.utils import get_identifier
class MockMasterSlaveRouter(BaseRouter):
def for_read(self, **hints):
return 'slave'
def for_write(self, **hints):
return 'master'
class MockPassthroughRouter(BaseRouter):
def for_read(self, **hints):
if hints.get('pass_through') is False:
return 'pass'
return None
def for_write(self, **hints):
if hints.get('pass_through') is False:
return 'pass'
return None
class MockSearchResult(SearchResult):
def __init__(self, app_label, model_name, pk, score, **kwargs):
super(MockSearchResult, self).__init__(app_label, model_name, pk, score, **kwargs)
self._model = get_model('core', model_name)
MOCK_SEARCH_RESULTS = [MockSearchResult('core', 'MockModel', i, 1 - (i / 100.0)) for i in xrange(1, 100)]
MOCK_INDEX_DATA = {}
class MockSearchBackend(BaseSearchBackend):
model_name = 'mockmodel'
def update(self, index, iterable, commit=True):
global MOCK_INDEX_DATA
for obj in iterable:
doc = index.full_prepare(obj)
MOCK_INDEX_DATA[doc['id']] = doc
def remove(self, obj, commit=True):
global MOCK_INDEX_DATA
del(MOCK_INDEX_DATA[get_identifier(obj)])
def clear(self, models=[], commit=True):
global MOCK_INDEX_DATA
MOCK_INDEX_DATA = {}
@log_query
def search(self, query_string, **kwargs):
from haystack import connections
global MOCK_INDEX_DATA
results = []
hits = len(MOCK_INDEX_DATA)
indexed_models = connections['default'].get_unified_index().get_indexed_models()
def junk_sort(key):
app, model, pk = key.split('.')
if pk.isdigit():
return int(pk)
else:
return ord(pk[0])
sliced = sorted(MOCK_INDEX_DATA, key=junk_sort)
for result in sliced:
app_label, model_name, pk = result.split('.')
model = get_model(app_label, model_name)
if model:
if model in indexed_models:
results.append(MockSearchResult(app_label, model_name, pk, 1 - (i / 100.0)))
else:
hits -= 1
else:
hits -= 1
return {
'results': results[kwargs.get('start_offset'):kwargs.get('end_offset')],
'hits': hits,
}
def more_like_this(self, model_instance, additional_query_string=None, result_class=None):
return self.search(query_string='*')
class CharPKMockSearchBackend(MockSearchBackend):
model_name = 'charpkmockmodel'
mock_search_results = [MockSearchResult('core', 'CharPKMockModel', 'sometext', 0.5),
MockSearchResult('core', 'CharPKMockModel', '1234', 0.3)]
class ReadQuerySetMockSearchBackend(MockSearchBackend):
model_name = 'afifthmockmodel'
mock_search_results = [MockSearchResult('core', 'afifthmockmodel', 1, 2),
MockSearchResult('core', 'afifthmockmodel', 2, 2)]
class MixedMockSearchBackend(MockSearchBackend):
@log_query
def search(self, query_string, **kwargs):
if kwargs.get('end_offset') and kwargs['end_offset'] > 30:
kwargs['end_offset'] = 30
result_info = super(MixedMockSearchBackend, self).search(query_string, **kwargs)
result_info['hits'] = 30
# Remove search results from other models.
temp_results = []
for result in result_info['results']:
if not int(result.pk) in (9, 13, 14):
# MockSearchResult('core', 'AnotherMockModel', 9, .1)
# MockSearchResult('core', 'AnotherMockModel', 13, .1)
# MockSearchResult('core', 'NonexistentMockModel', 14, .1)
temp_results.append(result)
result_info['results'] = temp_results
return result_info
class MockSearchQuery(BaseSearchQuery):
def build_query(self):
return ''
def clean(self, query_fragment):
return query_fragment
# def run_mlt(self):
# # To simulate the chunking behavior of a regular search, return a slice
# # of our results using start/end offset.
# final_query = self.build_query()
# results = self.backend.more_like_this(self._mlt_instance, final_query)
# import pdb; pdb.set_trace()
# self._results = results['results'][self.start_offset:self.end_offset]
# self._hit_count = results['hits']
class MockEngine(BaseEngine):
backend = MockSearchBackend
query = MockSearchQuery