def test_parse_predicate(self):
pred = search._parse_predicate(
{'plot.width':
{'MIN': 5,
'MAX': {'VALUE': 9,
'EXCLUSIVE': False}},
'tree.height': 9},
mapping=search.DEFAULT_MAPPING)
p1 = ('AND', {('width__lte', 9),
('width__gte', 5),
('tree__height', 9)})
self.assertEqual(self.destructure_query_set(pred),
p1)
pred = search._parse_predicate(
{'tree.leaf_type': {'IS': 9},
'tree.last_updated_by': 4},
mapping=search.DEFAULT_MAPPING)
p2 = ('AND', {('tree__leaf_type', 9),
('tree__last_updated_by', 4)})
self.assertEqual(self.destructure_query_set(pred),
p2)
def test_parse_collection_udf_fail_nondate_comparison(self):
self._setup_tree_and_collection_udf()
with self.assertRaises(search.ParseException):
search._parse_predicate(
{'udf:tree:%s.date' % self.treestew.pk: {'MAX': 3}},
mapping=search.DEFAULT_MAPPING)
def test_parse_collection_udf_fail_nondate_comparison(self):
self._setup_tree_and_collection_udf()
with self.assertRaises(search.ParseException):
search._parse_predicate(
{'udf:tree:%s.date' % self.treestew.pk: {'MAX': 3}},
mapping=search.DEFAULT_MAPPING)
def test_parse_predicate(self):
pred = search._parse_predicate(
{
'plot.width': {
'MIN': 5,
'MAX': {
'VALUE': 9,
'EXCLUSIVE': False
}
},
'tree.height': 9
},
mapping=search.DEFAULT_MAPPING)
p1 = ('AND', {('width__lte', 9), ('width__gte', 5),
('tree__height', 9)})
self.assertEqual(self.destructure_query_set(pred), p1)
pred = search._parse_predicate(
{
'tree.leaf_type': {
'IS': 9
},
'tree.last_updated_by': 4
},
mapping=search.DEFAULT_MAPPING)
p2 = ('AND', {('tree__leaf_type', 9), ('tree__last_updated_by', 4)})
self.assertEqual(self.destructure_query_set(pred), p2)
def test_like_predicate(self):
pred = search._parse_predicate(
{'tree.steward': {'LIKE': 'thisisatest'}})
target = ('AND', {('tree__steward__icontains', 'thisisatest')})
self.assertEqual(self.destructure_query_set(pred), target)
def test_like_predicate(self):
pred = search._parse_predicate(
{'tree.steward': {'LIKE': 'thisisatest'}},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('tree__steward__icontains', 'thisisatest')})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_collection_udf_simple_predicate(self):
self._setup_tree_and_collection_udf()
pred = search._parse_predicate(
{'udf:plot:%s.action' % self.plotstew.pk: 'prune'},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('id__in', (self.plot.pk,))})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_species_predicate(self):
pred = search._parse_predicate(
{'species.id': 113,
'species.flowering': True})
target = ('AND', {('tree__species__id', 113),
('tree__species__flowering', True)})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_collection_udf_simple_predicate(self):
self._setup_tree_and_collection_udf()
pred = search._parse_predicate(
{'udf:plot:%s.action' % self.plotstew.pk: 'prune'},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('id__in', (self.plot.pk, ))})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_species_predicate(self):
pred = search._parse_predicate(
{'species.id': 113,
'species.flowering': True},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('tree__species__id', 113),
('tree__species__flowering', True)})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_collection_udf_nested_pass_date_comparison(self):
self._setup_tree_and_collection_udf()
pred = search._parse_predicate(
{'udf:tree:%s.date' % self.treestew.pk:
{'MAX': '2014-05-01 00:00:00'}},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('tree__id__in', (self.tree.pk,))})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_collection_udf_nested_pass_date_comparison(self):
self._setup_tree_and_collection_udf()
pred = search._parse_predicate(
{'udf:tree:%s.date' % self.treestew.pk:
{'MAX': '2014-05-01 00:00:00'}},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('tree__id__in', (self.tree.pk,))})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_predicate_with_tree_map(self):
pred = search._parse_predicate(
{'plot.width':
{'MIN': 5,
'MAX': {'VALUE': 9,
'EXCLUSIVE': False}},
'tree.height':
9},
mapping=search.TREE_MAPPING)
p1 = ('AND', {('plot__width__lte', 9),
('plot__width__gte', 5),
('height', 9)})
self.assertEqual(self.destructure_query_set(pred),
p1)
def test_parse_predicate_with_tree_map(self):
pred = search._parse_predicate(
{'plot.width':
{'MIN': 5,
'MAX': {'VALUE': 9,
'EXCLUSIVE': False}},
'tree.height':
9},
mapping=search.TREE_MAPPING)
p1 = ('AND', {('plot__width__lte', 9),
('plot__width__gte', 5),
('height', 9)})
self.assertEqual(self.destructure_query_set(pred),
p1)
def test_parse_collection_udf_nested_pass_numeric_comparison(self):
self._setup_tree_and_collection_udf()
agility = make_collection_udf(self.instance, model='Tree',
name='Agility',
datatype=[{'type': 'float',
'name': 'current'}])
set_write_permissions(self.instance, self.commander,
'Tree', ['udf:Agility'])
new_tree = Tree(instance=self.instance, plot=self.plot)
new_tree.udfs[agility.name] = [{'current': '1.5'}]
new_tree.save_with_user(self.commander)
pred = search._parse_predicate(
{'udf:tree:%s.current' % agility.pk: {'MIN': 1}},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('tree__id__in', (new_tree.pk,))})
self.assertEqual(self.destructure_query_set(pred), target)
def test_parse_collection_udf_nested_pass_numeric_comparison(self):
self._setup_tree_and_collection_udf()
agility = make_collection_udf(self.instance,
model='Tree',
name='Agility',
datatype=[{
'type': 'float',
'name': 'current'
}])
set_write_permissions(self.instance, self.commander, 'Tree',
['udf:Agility'])
new_tree = Tree(instance=self.instance, plot=self.plot)
new_tree.udfs[agility.name] = [{'current': '1.5'}]
new_tree.save_with_user(self.commander)
pred = search._parse_predicate(
{'udf:tree:%s.current' % agility.pk: {
'MIN': 1
}},
mapping=search.DEFAULT_MAPPING)
target = ('AND', {('tree__id__in', (new_tree.pk, ))})
self.assertEqual(self.destructure_query_set(pred), target)
