def test_can_use_OR_conditional_alias(self):
p = Pypher()
p.COR(1, 2, 3)
s = str(p)
params = p.bound_params
exp = '(${one} OR ${two} OR ${three})'.format(one=get_dict_key(params, 1),
two=get_dict_key(params, 2), three=get_dict_key(params, 3))
self.assertEqual(exp, s)
self.assertEqual(3, len(params))
def test_can_nest_AND_and_OR_conditionals(self):
p = Pypher()
p.COR(1, __.CAND(2, 3))
s = str(p)
params = p.bound_params
exp = '(${one} OR (${two} AND ${three}))'.format(one=get_dict_key(params, 1),
two=get_dict_key(params, 2), three=get_dict_key(params, 3))
self.assertEqual(exp, s)
self.assertEqual(3, len(params))
def get_by_search_string(self,
search_string,
ensure_privacy=True,
limit=options.pagination,
skip=0):
"""based on a search string of:
pyhon #code @mark
build a query with the foundation of:
MATCH (tag_resource:`Resource`)-[:`HasTag`]->(tag:`Tag`)
WHERE tag.tag_normalized = 'code'
WITH tag_resource
MATCH (user_resource:`Resource`)<-[:`AddedResource`]-(user:`User`)
WHERE id(user_resource) = id(tag_resource)
WITH user_resource, user
MATCH (resource:`Resource`)-[:`HasTag`]->(tag:`Tag`)
id(resource) = id(user_resource)
RETURN resource, user, collect(tag)
"""
from datcode.common.model.graph.node import User
search = parse_search_string(search_string)
user_mapper = self.get_mapper(User)
user_mapper.ensure_privacy = ensure_privacy
p = Pypher()
p.node('resource', labels='Resource')
p.rel_in(labels='AddedResource').node('user', labels='User')
p2 = Pypher()
p2.node('resource').rel_out(labels='HasTag').node('tag', labels='Tag')
p2 = Pypher()
p2.node('resource').rel_out(labels='HasTag').node('tag', labels='Tag')
p3 = Pypher()
p3.node('resource').rel_out(labels='HasTag').node('tags', labels='Tag')
query = Pypher()
query.MATCH(p, p2, p3)
wheres = []
search_ors = []
user_ors = []
tag_ors = []
# filter the resource title and descripiton by search string powersets
for contains in search['search']['contains']:
term = "(?i).*{}.*".format(contains)
d = Pypher()
t = Pypher()
d.resource.__description__.re(term)
t.resource.__title__.re(term)
search_ors.append(d)
search_ors.append(t)
if search_ors:
ors = Pypher()
ors.COR(*search_ors)
wheres.append(ors)
# filter by users
for user in search['users']:
u = Pypher()
u.user.__username__ == user
user_ors.append(u)
if user_ors:
ors = Pypher()
ors.COR(*user_ors)
wheres.append(ors)
# filter by tags
for tag in search['tags']:
u = Pypher()
u.tag.__tag_normalized__ == normalize(tag)
tag_ors.append(u)
if tag_ors:
ors = Pypher()
ors.COR(*tag_ors)
wheres.append(ors)
if wheres:
query.WHERE.CAND(*wheres)
# paginate and get a total count
total = query.clone()
total.RETURN('COUNT(DISTINCT(resource)) AS total')
total_res = self.mapper.query(pypher=total)
try:
total_results = total_res.first()['result']
except:
total_results = 0
query.RETURN('DISTINCT(resource)', 'user')
query.ORDERBY('resource.date_created').DESC
query.SKIP(skip).LIMIT(limit)
results = self.mapper.query(pypher=query)
result_data = []
all_tags = []
all_tag_ids = []
for res in results:
tags = self(res['resource'])['Tags']()
username = res['user']['username']
if ensure_privacy:
username = '******'
result_data.append({
'resource': self.data(res['resource']),
'user': {
'username': username,
},
'tags': self.data(tags),
})
for tag in tags:
if tag.id not in all_tag_ids:
all_tags.append(tag.data)
all_tag_ids.append(tag.id)
return {
'total': total_results,
'results': result_data,
'all_tags': all_tags,
}