def setUp(self):
"""
Load test data
:return:
"""
self.lbs = lbsociam.LBSociam()
self.baserest = lbrest.BaseREST(rest_url=self.lbs.lbgenerator_rest_url,
response_object=True)
pass
def __init__(self):
"""
Construct for social networks data
:return:
"""
LBSociam.__init__(self)
self.baserest = lbrest.BaseREST(rest_url=self.lbgenerator_rest_url,
response_object=True)
self.documentrest = lbrest.DocumentREST(
rest_url=self.lbgenerator_rest_url,
base=self.lbbase,
response_object=False)
def __init__(self,
status_base=None,
dictionary_base=None,
debug=False,
term=None):
LBSociam.__init__(self)
self.debug = debug
self.term = term
self.api = None
self.hashtag = None
self.baserest = lbrest.BaseREST(rest_url=self.lbgenerator_rest_url,
response_object=True)
if status_base is not None:
self.status_base = status_base
if dictionary_base is not None:
self.dictionary_base = dictionary_base
def __init__(self, status_name=None, dic_name=None):
"""
Bulding method for Status Base
:param status_name: Name of status base
:param dic_name: Name of dict status
:return:
"""
LBSociam.__init__(self)
if status_name is not None:
self.status_base = status_name
if dic_name is not None:
self.dictionary_base = dic_name
self.baserest = lbrest.BaseREST(rest_url=self.lbgenerator_rest_url,
response_object=True)
self.documentrest = lbrest.DocumentREST(
rest_url=self.lbgenerator_rest_url,
base=self.lbbase,
response_object=False)
self.crimes_base = crimes.crimes_base
def __init__(self, status_base=None):
"""
Construct for social networks data
:return:
"""
LBSociam.__init__(self)
self.baserest = lbrest.BaseREST(
rest_url=self.lbgenerator_rest_url,
response_object=True
)
self.documentrest = lbrest.DocumentREST(
rest_url=self.lbgenerator_rest_url,
base=self.lbbase,
response_object=False
)
# Get status base in constructor
if status_base is None:
self.status_base = lbstatus.status_base
else:
self.status_base = status_base
def setUp(self):
"""
Load test data
"""
test_twitter_import.TwitterImportTestCase.setUp(self)
self.lbs = lbsociam.LBSociam()
self.baserest = lbrest.BaseREST(rest_url=self.lbs.lbgenerator_rest_url, response_object=True)
self.lbt = lbtwitter.Twitter(debug=False, term='crime')
self.status_base = lbstatus.StatusBase()
self.tw_status = self.lbt.search()
# Debug
fd = open('/tmp/status_base.json', 'w+')
fd.write(self.status_base.lbbase.json)
fd.close()
# Cria base
self.lbbase = self.status_base.create_base()
pass
def setUp(self):
"""
Load data from previous tests and setup test data
:return:
"""
lbjson_test.TestJSON.setUp(self)
# Start base definition
field = Field(**self.field)
field2 = Field(**self.field2)
content_list = Content()
content_list.append(field)
content_list.append(field2)
group_metadata = GroupMetadata(**self.group_metadata)
group = Group(
metadata=group_metadata,
content=content_list,
)
field3 = Field(**self.field3)
content_list = Content()
content_list.append(group)
content_list.append(field3)
base_metadata = BaseMetadata(**self.base_metadata)
self.base = Base(metadata=base_metadata, content=content_list)
# End Base definition
#self.rest_url = "http://localhost/api"
self.rest_url = "http://127.0.0.1/api"
self.baserest = lbrest.BaseREST(rest_url=self.rest_url,
response_object=True)
pass
def setUp(self):
"""
Ajusta parâmetros iniciais
"""
self.lbs = lbsociam.LBSociam()
self.baserest = lbrest.BaseREST(rest_url=self.lbs.lbgenerator_rest_url,
response_object=True)
self.lbt = lbtwitter.Twitter(debug=False, term='crime')
self.status_base = lbstatus.StatusBase()
self.tw_status = self.lbt.search()
self.data_dir = os.path.join(lbs.lbsociam_data_dir, 'tests')
if not os.path.isdir(self.data_dir):
os.mkdir(self.data_dir)
# Cria base
self.lbbase = self.status_base.create_base()
# Insere dois status
self.status = list()
tw_status_elm = [self.tw_status[0]]
tw_status_json = self.lbt.status_to_json(tw_status_elm)
status_dict = dict(
origin='twitter',
inclusion_date=datetime.datetime.now().strftime("%d/%m/%Y"),
text=tw_status_elm[0].text,
source=tw_status_json,
search_term='crime')
tokenized = srl.srl_tokenize(tw_status_elm[0].text)
if tokenized.get('arg_structures'):
status_dict['arg_structures'] = tokenized.get('arg_structures')
if tokenized.get('tokens'):
status_dict['tokens'] = tokenized.get('tokens')
status = conv.dict2document(self.lbbase, status_dict)
status_json = conv.document2json(self.lbbase, status)
result = self.status_base.documentrest.create(status_json)
self.status.append(status)
# Segundo status
tw_status_elm = [self.tw_status[1]]
tw_status_json = self.lbt.status_to_json(tw_status_elm)
status_dict = dict(
origin='twitter',
inclusion_date=datetime.datetime.now().strftime("%d/%m/%Y"),
text=tw_status_elm[0].text,
source=tw_status_json,
search_term='crime')
tokenized = srl.srl_tokenize(tw_status_elm[0].text)
if tokenized.get('arg_structures'):
status_dict['arg_structures'] = tokenized.get('arg_structures')
if tokenized.get('tokens'):
status_dict['tokens'] = tokenized.get('tokens')
status = conv.dict2document(self.lbbase, status_dict)
status_json = conv.document2json(self.lbbase, status)
result = self.status_base.documentrest.create(status_json)
self.status.append(status)
# Base de dicionário
self.dictionary_base = model_dict.DictionaryBase()