def authenticate_and_create_graph(credentials):
"""
This function authenticates with neo4j and creates a py2neo graph object
Arguments:
credentials (dict): a dictionary of credentials used to authenticate,
and then create, a py2neo graph object.
Returns: a py2neo `Graph` object.
"""
host = credentials['host']
https_port = credentials['https_port']
http_port = credentials['http_port']
secure = credentials['secure']
neo4j_user = credentials['user']
neo4j_password = credentials['password']
authenticate(
"{host}:{port}".format(host=host,
port=https_port if secure else http_port),
neo4j_user,
neo4j_password,
)
graph = Graph(
bolt=True,
password=neo4j_password,
user=neo4j_user,
https_port=https_port,
http_port=http_port,
host=host,
secure=secure,
)
return graph
def getTestedNeo4jDB(graphDBurl, graphDbCredentials):
'''Gets a Neo4j url and returns a GraphDatabaseService to the database
after having performed some trivial tests'''
try:
if graphDbCredentials:
authenticate(*graphDbCredentials)
graphDb = Graph(graphDBurl)
#just fetch a Node to check we are connected
#even in DRY RUN we should check Neo4j connectivity
#but not in OFFLINE MODE
if not OFFLINE_MODE:
_ = iter(graphDb.match(limit=1)).next()
except StopIteration:
pass
except SocketError as ex:
raise DbNotFoundException(ex, "Could not connect to Graph DB %s."
% graphDBurl)
if not DRY_RUN and not OFFLINE_MODE:
try:
test_node = Node("TEST", data="whatever")
graphDb.create(test_node)
graphDb.delete(test_node)
except Exception as ex:
raise DBInsufficientPrivileges(\
"Failed on trivial operations in DB %s." % graphDBurl)
return graphDb
def access_graphdb():
#Verifies that an existing Neo4j database exists and that it is
#populated. Does not modify the database.
if not is_service_running('neo4j'):
print("Starting neo4j service....")
os.system("sudo service neo4j start")
time.sleep(5)
authenticate("localhost:7474", "neo4j", "pining")
try:
#Just access graph and retrieve stats
g = Graph("http://localhost:7474/db/data/")
interactions = (g.data("MATCH p=()-[r:interacts_with]->() RETURN p"))
member_ofs = (g.data("MATCH p=()-[r:member_of]->() RETURN p"))
if not interactions or not member_ofs:
sys.exit("Graph is empty or is missing expected relationships. "
"Exiting.")
else:
print(
"Graph contains %s protein interactions and %s OG memberships."
% (len(interactions), len(member_ofs)))
except (py2neo.packages.httpstream.http.SocketError,
py2neo.database.status.Unauthorized) as e:
print("**Error accessing the Neo4j database: %s" % e)
print("**Please try accessing the server at http://localhost:7474/")
sys.exit()
def FindSimilarRepositories(InputrepoK):
#Sanitize input
Inputrepo = bleach.clean(InputrepoK).strip()
host = os.environ['LOCALNEO4JIPPORT']
login = os.environ['LOCALNEO4JLOGIN']
password = os.environ['LOCALNEO4JPASSWORD']
authenticate(host,login,password)
graph = Graph(os.environ['neoURLlocal'])
output = ""
path1 = "<a href=\"/?q=repository "
path2 = "&action=Search\" class=\"repositoryinfo\">"
path3 = "</a>"
#Find similar repository > 1 connections
query1="MATCH (a {id:\"" + Inputrepo + "\"})"
query2="-[r1:IS_ACTOR|IN_ORGANIZATION]->(match)<-[r2:IS_ACTOR|IN_ORGANIZATION]-(b) "
query3="with b, collect (distinct match.id) as connections, collect (distinct type(r1)) as rel1 "
query4="where length(connections) >= 1 return b.id,length(connections) as count,length(rel1) as rel "
query5="order by length(connections) desc limit 5"
query = query1 + query2 + query3 + query4 + query5
#print query
a = graph.cypher.execute(query)
for record in a:
if (record['rel'] < 2):
output += "<li>" + path1 + record['b.id'] + path2 + record['b.id'] + path3 + ": " + str(record['count']) + " contributors in common</li>"
else:
output += "<li>" + path1 + record['b.id'] + path2 + record['b.id'] + path3 + ": " + str(record['count']-1) + " contributors in common & belong to same organization</li>"
if (len(output) > 0):
return ("<ul>" + output + "</ul>")
else:
#Nothing found!
return "<span class=\"text-danger\">You got me stumped!</span>"
def connect_to_db(self, uri, username, password):
if (uri is None) or (username is None) or\
(password is None):
raise ValueError('Null Argument detected')
authenticate(uri, username, password)
return Graph()
def createRelationshipWithProperties():
print("Start - Creating Relationships")
# Authenticate the user using py2neo.authentication
# Ensure that you change the password 'sumit' as per your database configuration.
py2neo.authenticate("localhost:7474", "neo4j", "sumit")
# Connect to Graph and get the instance of Graph
graph = Graph("http://localhost:7474/db/data/")
# Create Node with Properties
amy = Node("FEMALE", name="Amy")
# Create one more Node with Properties
kristine = Node("FEMALE",name="Kristine")
# Create one more Node with Properties
sheryl = Node("FEMALE",name="Sheryl")
#Define an Object of relationship which depicts the relationship between Amy and Kristine
#We have also defined the properties of the relationship - "since=2005"
#By Default the direction of relationships is left to right, i.e. the -->
kristine_amy = Relationship(kristine,"FRIEND",amy,since=2005)
#This relationship is exactly same as the earlier one but here we are using "Rev"
#"py2neo.Rev = It is used to define the reverse relationship (<--) between given nodes
amy_sheryl=Relationship(amy,Rev("FRIEND"),sheryl,since=2001)
#Finally use graph Object and Create Nodes and Relationship
#When we create Relationship between, then Nodes are also created.
resultNodes = graph.create(kristine_amy,amy_sheryl)
#Print the results (relationships)
print("Relationship Created - ",resultNodes)
def main():
# Connect to neo4j
authenticate("localhost:7474", "neo4j", "neo4jpw")
graph = Graph("localhost:7474/db/data/")
pathway_list = read_pathway_list("C:/Databases/KEGG/pathway.list")
main_pathway = "Metabolism"
use_pathways = [i[2] for i in pathway_list if i[0] in main_pathway]
use_pathways.remove('01100')
metabolic_reactions = read_kegg_xml("C:/Databases/KEGG/kgml/ko",
use_pathways=use_pathways)
# Read in files and create a new database
reactions = kegg_reactions("C:/Databases/KEGG/reaction/reaction")
enzymes = kegg_enzymes("C:/Databases/KEGG/enzyme/enzyme")
rclass = kegg_rclass("C:/Databases/KEGG/rclass/rclass")
compounds = kegg_compounds("C:/Databases/KEGG/compound/compound")
triples = find_triples(rclass)
# Create a new database using rclass triples
# create_db_from_triples(triples, rclass, compounds, graph)
# Create a new database using metabolic reactions parsed from xml files
# create_db_from_xml(metabolic_reactions, graph, reactions, enzymes, compounds)
# Create a new database using reactions
create_db_from_reactions(reactions, graph, enzymes, compounds, rclass)
# Test database
test_database(graph)
return 0
def getProvinceTime(province, time):
authenticate("localhost:7474", "neo4j", "liyi193328")
graph = Graph()
if province == "":
province = '.*'
data = []
if time == 2004:
ngoList = graph.cypher.execute(
"match (n:ngo) where n.province =~ {province} return id(n),n.name;",
{"province": province})
elif time == 2005:
ngoList = graph.cypher.execute(
"match (n:ngo) where n.province =~ {province} and toInt( n.time ) < 2006 return id(n),n.name;",
{"province": province})
else:
ngoList = graph.cypher.execute(
"match (n:ngo) where n.province =~ {province} and n.time = {time} return id(n),n.name;",
{
"province": province,
"time": time
})
for perNgo in ngoList:
row = {}
row["id"] = perNgo[0]
row['name'] = perNgo[1]
data.append(row)
return data
def set_graph(self, config_path):
"""Define graph instance with data from config file.
Args:
config_path(string): path to a config.json file.
Returns:
Graph or None if failed to define.
"""
self.graph = None
with open(config_path) as config_data:
config = json.load(config_data)
host = config['host']
if host['use_ssl']:
db_url = 'https://'
elif host['use_bolt']:
db_url = 'bolt://'
else:
db_url = 'http://'
db_url += '%s:%d/%s' % (host['address'], host['port'],
host['data_path'])
authenticate(host['address'] + ':' + str(host['port']),
user=host['username'],
password=host['password'])
self.graph = Graph(db_url)
return self.graph
def import_api_data2():
authenticate("localhost:7474", "neo4j", "1111")
graph = Graph()
#graph.delete_all()
# Uncomment on the first run!
#graph.schema.create_uniqueness_constraint("Borjnuk", "id")
#graph.schema.create_uniqueness_constraint("Obtaj", "id")
#graph.schema.create_uniqueness_constraint("Property", "id")
obtajenna = get_objects_art('obtaj')
for api_obtaj in obtajenna:
node_obtaj= graph.merge_one("Obtaj", "id", api_obtaj["id"])
node_obtaj["reason_doc"] = api_obtaj["reason_doc"]
node_obtaj["cost_size"] = api_obtaj["cost_size"]
for api_author in api_obtaj["borjnuku"]:
node_borjnuk = graph.merge_one("Borjnuk", "id", api_author["id"])
node_borjnuk["name"] = api_author["name"]
node_borjnuk["tel_number"] = api_author["tel_number"]
node_borjnuk.push()
graph.create_unique(Relationship(node_borjnuk, "obtajuetsa", node_obtaj))
for api_property in api_obtaj["properties"]:
node_property = graph.merge_one("Property", "id", api_property["id"])
node_property["name"] = api_property["name_property"]
node_property["ser_number"] = api_property["ser_number"]
node_property.push()
graph.create_unique(Relationship(node_property, "zakladena", node_obtaj))
node_obtaj.push()
def authenticate(self, username, password):
try:
from py2neo import authenticate
authenticate(self.host_port, username, password)
return True
except ImportError:
return False
def __init__(self):
self.logger = open("zalando_logger","a")
self.logger.write("Checking for directory...\n")
self.logger.write("Creating Zalando Object...\nInitializing Object variables...\n")
self.set_directory()
self.BASE_URL = "https://www.zalando.co.uk"
self.initial_page = ['https://www.zalando.co.uk/womens-clothing','https://www.zalando.co.uk/mens-clothing']
self.parameters = ['Women','Men']
self.subcategories = [dict() for x in range(2)]
authenticate("localhost:7474","neo4j","awdr.;/")
self.zalando_graph = Graph()
try:
self.zalando_graph.schema.create_uniqueness_constraint('Zalando', 'article_number')
except Exception as e:
self.logger.write("uniqueness constraint already set\n")
self.count = 0
self.xml_root = Element('Properties')
self.properties = open("clothing_properties.xml","w")
self.logger.write("Zalando Object: " + str(self)+"\n")
for i in range(len(self.initial_page)):
page_html = requests.get(self.initial_page[i]).content
page_soup = BeautifulSoup(page_html,"lxml")
self.get_clothing_attributes(page_soup,i)
self.build_zalando_database(page_soup,self.parameters[i])
self.set_attributes(i)
self.properties.write(tostring(self.xml_root))
def addArgumentToGraph(argument):
authenticate(settings.SECRET_NEO4J_DB_HOSTPORT,
settings.SECRET_NEO4J_DB_USER,
settings.SECRET_NEO4J_DB_PASSWORD)
graph = Graph()
tx = graph.begin()
argumentNode = Node("Argument",
argument_id=argument.id,
name=argument.name)
tx.merge(argumentNode, 'argument_id')
for p in ArgumentPremise.objects.filter(argument_id=argument.id):
premiseClaim = p.claim
premiseClaimNode = Node("Claim",
claim_id=premiseClaim.id,
name=premiseClaim.name,
content=premiseClaim.content)
tx.merge(premiseClaimNode, 'claim_id')
premiseOfRelationship = Relationship(premiseClaimNode,
"Premise_Of",
argumentNode,
argumentpremise_id=p.id)
tx.merge(premiseOfRelationship, 'argumentpremise_id')
supportedClaim = argument.supported_claim
supportedClaimNode = Node("Claim",
claim_id=supportedClaim.id,
name=supportedClaim.name,
content=supportedClaim.content)
tx.merge(supportedClaimNode, 'claim_id')
supportsRelationship = Relationship(argumentNode,
"Supports",
supportedClaimNode,
argument_id=argument.id)
tx.merge(supportsRelationship, 'argument_id')
tx.commit()
def query8():
hashtag = request.form['query8']
authenticate("localhost:7474", "neo4j", "qwertyuiop")
g = Graph()
a = g.data("""match(u:User)-[:POSTS]->(t:Tweet)-[:HAS_HASH]->(h:Hashtag)
where h.hashtag=\'%s\' return h.hashtag as Hashtag,u.screen_name as User,Collect(t.tid) as Tid,count(*) as Tweet_count
order by Tweet_count Desc LIMIT 3 """ % hashtag)
page = " <style> table, th, td { border: 1px solid black; } </style>"
page = page + "<table> <tr> <th> Hashtag </th> <th> User </th> <th> Tid's </th> <th> Tweet_Count </th> </tr> "
for row in a:
page = page + "<tr> "
page += "<td> %s </td>" % repr(json.dumps(row['Hashtag']))
page += "<td> %s </td>" % repr(json.dumps(row['User']))
page += "<td> %s </td>" % repr(json.dumps(row['Tid']))
page += "<td> %s </td>" % repr(json.dumps(row['Tweet_count']))
page += "</tr>"
page += "</table>"
page = page + "<img src=\"/static/graph_query8.png\" width=1000px height=700px >"
return page
def query1():
user = request.form['query1']
authenticate("localhost:7474", "neo4j", "qwertyuiop")
g = Graph()
a = g.data("""match (u1:User)<-[:MENTIONS]-(t:Tweet)-[:MENTIONS]-(u2:User)
where u1.screen_name='%s'
return u1.screen_name as User1,u2.screen_name as User2,
Collect(t.tid) as Tid,count(*) as co_mentioncount Order by co_mentioncount DESC"""
% user)
page = " <style> table, th, td { border: 1px solid black; } </style>"
page = page + "<table> <tr> <th> Mentioned_User1 </th> <th> Mentioned_User2 </th> <th> Tid's </th> <th> Total_Mentions </th> </tr> "
for row in a:
page = page + "<tr> "
page += "<td> %s </td>" % repr(json.dumps(row['User1']))
page += "<td> %s </td>" % repr(json.dumps(row['User2']))
page += "<td> %s </td>" % repr(json.dumps(row['Tid']))
page += "<td> %s </td>" % repr(json.dumps(row['co_mentioncount']))
page += "</tr>"
page += "</table>"
page = page + "<img src=\"/static/graph_query1.png\" width=1000px height=700px >"
return page
def __init__(self, **kwargs):
super(BioKnowledgeDB, self).__init__(**kwargs)
authenticate(NEO4J_HOST_PORT, NEO4J_USER, NEO4J_PWD)
self.graph = Graph(NEO4J_URL)
client = MongoClient(MONGODB_HOST, MONGODB_PORT)
db = client.get_database(MONGODB_DBNAME)
self.property_collection = db.get_collection(MONGODB_BIOLOGY_PROPERTY)
def following2(n):
authenticate("localhost:7474", "neo4j", "parola")
graph = Graph("http://localhost:7474/db/data/")
followingResults = graph.cypher.execute("MATCH (a)-[r:FOLLOWS]->(b) WHERE id(a)= "+n+" RETURN b")
followingName = []
for person in followingResults:
cleanName = re.findall('"([^"]*)"', str(person[0]))
cleanName[2] = str (int(cleanName[2]) - 1)
followingName.append(cleanName)
followerResults = graph.cypher.execute("MATCH (a)-[r:FOLLOWS]->(b) WHERE id(b)= "+n+" RETURN a")
followerName = []
for person in followerResults:
cleanName = re.findall('"([^"]*)"', str(person[0]))
cleanName[2] = str (int(cleanName[2]) - 1)
followerName.append(cleanName)
thisUser = graph.cypher.execute("Match (joe) where id(joe)= "+n+" return joe")
thisUserCleanName = re.findall('"([^"]*)"', str(thisUser[0][0]))
userPostResult = graph.cypher.execute("MATCH (a)-[r:POSTED]->(b)<-[t:LIKES]-(q) WHERE id(a)="+n+" RETURN b.Name,b.id ,count(t) ORDER BY count(t) DESC")
userPosts = []
for post in userPostResult:
cleanName = re.findall('"([^"]*)"', str(post[0]))
userPosts.append(userPostResult)
recommendationsResult = graph.cypher.execute("MATCH (joe)-[:FOLLOWS*2..2]->(friend_of_friend) WHERE NOT (joe)-[:FOLLOWS]-(friend_of_friend) and friend_of_friend.id <> joe.id and id(joe) = "+n+" RETURN friend_of_friend.Name,friend_of_friend.Username,friend_of_friend.id,Count(*) ORDER BY COUNT(*) DESC , friend_of_friend.Name LIMIT 10")
return render_template("index.html",
title='Home',
followings=followingName,
followers=followerName,
followingcount = len(followingName),
followercount = len(followerName),
thisUser = thisUserCleanName,
posts=userPosts,
recommendations = recommendationsResult)
def connectGraph(self):
# Authenticate the user using py2neo.authentication
# Ensure that you change the password 'sumit' as per your database configuration.
py2neo.authenticate("localhost:7474", "neo4j", "sumit")
# Connect to Graph and get the instance of Graph
graph = Graph("http://localhost:7474/db/data/")
return graph
def main():
define("host", default="127.0.0.1", help="Host IP")
define("port", default=8080, help="Port")
define("neo4j_host_port", default='127.0.0.1:7474', help="Neo4j Host and Port")
define("neo4j_user_pwd", default='neo4j:neo4j', help="Neo4j User and Password")
tornado.options.parse_command_line()
print('Connecting to Neo4j at {0}...'.format(options.neo4j_host_port))
user = options.neo4j_user_pwd.split(':')[0]
pwd = options.neo4j_user_pwd.split(':')[1]
authenticate(options.neo4j_host_port, user, pwd)
db = Graph('http://{0}/db/data/'.format(options.neo4j_host_port))
template_dir = os.getenv('OPENSHIFT_REPO_DIR', os.path.dirname(__file__))
template_dir = os.path.join(template_dir, 'templates')
static_dir = os.getenv('OPENSHIFT_DATA_DIR', os.path.dirname(__file__))
static_dir = os.path.join(static_dir, 'static')
settings = {
'static_path': static_dir,
'template_path': template_dir
}
application = Application([
(r'/image/([^/]*)', ImageHandler, dict(directory=cache_dir)),
(r'/users/?', MainHandler, dict(db=db)),
(r'/?', HomeHandler)
],
**settings)
print('Listening on {0}:{1}'.format(options.host, options.port))
application.listen(options.port, options.host)
tornado.ioloop.IOLoop.instance().start()
def __init__(self):
self.jsl_exporter = None
self.pprnt_exporter = None
self.files = {}
authenticate('localhost:7474', 'neo4j', 'big-theta-team')
self.graph = Graph('localhost:7474/db/data')
def upload_gene_interactions(neo_conf):
http.socket_timeout = 10000000
user = neo_conf['user']
pw = neo_conf['pw']
host = neo_conf['host']
port = neo_conf['http_port']
db = neo_conf['db_name']
graph = neo_conf['graph_name']
auth_uri = '{}:{}'.format(host,port)
authenticate(auth_uri, user, pw)
db_uri = 'http://{}:{}@{}:{}/{}/{}'.format(user,pw,host,port,db,graph)
g = Graph(db_uri, bolt=False)
query = '''
USING PERIODIC COMMIT
LOAD CSV FROM 'file:///home/calvin/Documents/bigdata/ad_knowledge_base/adkb/data/PPI.csv' AS row
MERGE (p1:interactor {name: row[0]})
MERGE (p2:interactor {name: row[1]})
MERGE((p1)-[:INTERACTS_WITH]->(p2));
'''
g.run(query).dump()
def database_connection():
# the second is the user name for neo4j
#the third is the password
authenticate("localhost:7474", "neo4j", "test")
global g
g = Graph("http://localhost:7474/db/data/")
def GetNewGraph(self):
'''
Class to new up a graph object so we can makes calls to the database
'''
authenticate(self.neo4j_url, self.neo4j_user, self.neo4j_password)
graph = Graph("http://" + self.neo4j_url)
return graph
def filter_by_path(recommendations, user_interests):
# print len(recommendations),len(user_interests)
authenticate("localhost:7474", "neo4j", "password")
res = []
g = Graph()
min_len = -1
MAX_PATH = 3
for i in xrange(len(recommendations)):
for j in xrange(len(user_interests)):
query = "MATCH (from:Product { pid:'" + recommendations[i] + "' }), (to:Product { pid: '" + user_interests[j] + "'}) , path = shortestPath(from-[:TO*]->to ) RETURN path"
results = g.cypher.execute(query)
path_len = len(str(results).split(":TO")) - 1
# print "PATH LEN",path_len
if path_len == 0:
continue
if path_len < MAX_PATH:
min_len = path_len
break
# if min_len == -1 or path_len < min_len:
# min_len = path_len
# print "MIN LEN",min_len
if min_len < MAX_PATH and min_len != -1:
res.append(recommendations[i])
min_len = -1
return res
def connect(self):
conf = self.get_config()
authenticate(conf['host'] + ":" + conf['port'],conf['username'],conf["password"])
try:
self.neo = Graph("http://" + conf['host'] + ":" + conf["port"] + "/db/data")
except:
print "Failed to connect!"
def getTestedNeo4jDB(graphDBurl, graphDbCredentials):
'''Gets a Neo4j url and returns a GraphDatabaseService to the database
after having performed some trivial tests'''
try:
if graphDbCredentials:
authenticate(*graphDbCredentials)
graphDb = Graph(graphDBurl)
#just fetch a Node to check we are connected
#even in DRY RUN we should check Neo4j connectivity
#but not in OFFLINE MODE
if not OFFLINE_MODE:
_ = iter(graphDb.match(limit=1)).next()
except StopIteration:
pass
except SocketError as ex:
raise DbNotFoundException(
ex, "Could not connect to Graph DB %s." % graphDBurl)
if not DRY_RUN and not OFFLINE_MODE:
try:
test_node = Node("TEST", data="whatever")
graphDb.create(test_node)
graphDb.delete(test_node)
except Exception as ex:
raise DBInsufficientPrivileges(\
"Failed on trivial operations in DB %s." % graphDBurl)
return graphDb
def connectGraph():
# Authenticate the user using py2neo.authentication
# Ensure that you change the password 'sumit' as per your database configuration.
py2neo.authenticate("localhost:7474", "neo4j", "sumit")
# Connect to Graph and get the instance of Graph
graph = Graph("http://localhost:7474/db/data/")
return graph
def run():
print("\n=== Querying N-Order Interactions for Genes ===")
authenticate("localhost:7474", "neo4j", "123456")
graph = Graph()
cypher = graph.cypher
while True:
query = input("\nPlease enter a Gene Entrez ID to query ('R' to return to main menu or 'X' to exit):\n> ")
if query is 'R' or query is 'r':
main.print_commands()
break
elif query is 'X' or query is 'x':
print("Exiting program. Thank you for using Alzheimer’s Disease Knowledge Base.\n")
quit()
else:
try:
n = input("Please enter a positive integer as the N-Order:\n ")
queryAOrder = "MATCH (gene:GeneA {entrezid:'" + query + "'})-[*" + n + "]-(GeneA) RETURN DISTINCT GeneA AS GenesYourQueryInteractsWith"
queryBOrder = "MATCH (gene:GeneB {entrezid:'" + query + "'})-[*" + n + "]-(GeneB) RETURN DISTINCT GeneB AS GenesThatInteractWithYourQuery"
print ("\n[=== Gene Interaction Query ===]")
print ("Interactions for entrez ID " + query + " to the order of " + n + ":\n")
print (cypher.execute(queryAOrder))
print (cypher.execute(queryBOrder))
except:
print("Error: Invalid command or Entrez ID not found.")
def databasefilter(labelname, color='ALL'):
print('--Database filter ALL/color--')
from py2neo import Graph, Path, authenticate
authenticate("localhost:7474", "neo4j", "japan123")
graph = Graph()
print(color)
if (color != 'ALL'):
color = '[\'' + color + '\']'
print('databasefilter : color', color)
tx = graph.cypher.execute(
'match (n) WHERE EXISTS(n.color) and n.name={x} and n.color={c} RETURN n.color,n.block_col,n.block_row,n.tlx,n.tly,n.brx,n.bry',
c=color,
x=labelname)
else:
tx = graph.cypher.execute(
'match (n) WHERE EXISTS(n.color) and n.name={x} RETURN n.color,n.block_col,n.block_row,n.tlx,n.tly,n.brx,n.bry',
x=labelname)
pixels = []
for i in tx:
color = i['n.color']
tl = Point(int(i['n.tlx']), int(i['n.tly']))
br = Point(int(i['n.brx']), int(i['n.bry']))
p = Pixel(ast.literal_eval(color), tl, br)
pixels.extend([p])
print('/t 1. retrieved all pixels. Total count is %d' % (len(pixels)))
return pixels
def main(project_directory, ignore_files):
authenticate("localhost:7474", "neo4j", "haruspex")
graph_db = Graph()
dossier = os.path.join(project_directory + "/pages")
if os.path.exists(dossier):
# Pour chaque fiche, analyser son contenu
# et créer les noeuds/liens correspondants
files = [f for f in listdir(dossier) if isfile(join(dossier, f))]
for fiche in files:
if (fiche not in ignore_files):
fiche_analysee = analyseFiche(fiche, dossier, graph_db)
ficheDocumentation(fiche_analysee, "references", dossier,
ignore_files[0], graph_db)
ficheDocumentation(fiche_analysee, "images", dossier,
ignore_files[1], graph_db)
else:
files = [
f for f in listdir(project_directory)
if (isfile(join(project_directory, f)) and f.endswith('.txt'))
]
#TODO récupérer les métadonnées d'omeka sur les documents
for document in files:
print(document.strip(project_directory))
fiche = Fiche(
document.replace(project_directory, '').replace('.txt', ''),
'', '', '', '', '')
fiche.create_node(graph_db)
def database_connection_test(prints=False):
if prints:
print '=' * 100
py2neo.authenticate(HOST, USER, PASS)
try:
graph = py2neo.Graph(GRAPH)
if graph:
if prints:
print "databases is working..."
return graph
except Exception as err:
print unidecode.unidecode(unicode(err.message))
try:
print "trying to execute:", neo4j_path % "start"
subprocess.call(neo4j_path % "start", shell=True)
for x in range(0, 11):
bar = '=' * x
print '\rwaiting for server delay', '[', bar.ljust(10), ']',
time.sleep(1)
graph = py2neo.Graph(GRAPH)
return graph
except Exception as err:
print "subprocess ERROR:", unidecode.unidecode(unicode(err))
raise err
finally:
if prints:
print '=' * 100
def __init__(self):
authenticate("localhost:7474", "neo4j", "vai")
global graph
graph = Graph("http://localhost:7474/db/data/")
global minSimilarityScore
minSimilarityScore=0.2
global fileName
def py2neo_view(request):
"""
py2neo (community driver)
Pass through CQL query and return JSON response
"""
user, password = get_graphenedb_credentials()
cqlQuery = request.body
if not cqlQuery:
return Response({'detail': 'Empty query'}, status=400)
py2neo.authenticate(REST_ENDPOINT, user, password)
graph = py2neo.Graph(BOLT_ENDPOINT,
user=user,
password=password,
bolt=True,
secure=True,
http_port=24789,
https_port=24780)
try:
results = graph.data(cqlQuery)
return Response(results)
except Exception as e:
return Response({'detail': unicode(e)}, status=400)
def createRelationshipWithProperties():
print("Start - Creating Relationships")
# Authenticate the user using py2neo.authentication
# Ensure that you change the password 'sumit' as per your database configuration.
py2neo.authenticate("localhost:7474", "neo4j", "sumit")
# Connect to Graph and get the instance of Graph
graph = Graph("http://localhost:7474/db/data/")
# Create Node with Properties
amy = Node("FEMALE", name="Amy")
# Create one more Node with Properties
kristine = Node("FEMALE", name="Kristine")
# Create one more Node with Properties
sheryl = Node("FEMALE", name="Sheryl")
#Define an Object of relationship which depicts the relationship between Amy and Kristine
#We have also defined the properties of the relationship - "since=2005"
#By Default the direction of relationships is left to right, i.e. the -->
kristine_amy = Relationship(kristine, "FRIEND", amy, since=2005)
#This relationship is exactly same as the earlier one but here we are using "Rev"
#"py2neo.Rev = It is used to define the reverse relationship (<--) between given nodes
amy_sheryl = Relationship(amy, Rev("FRIEND"), sheryl, since=2001)
#Finally use graph Object and Create Nodes and Relationship
#When we create Relationship between, then Nodes are also created.
resultNodes = graph.create(kristine_amy, amy_sheryl)
#Print the results (relationships)
print("Relationship Created - ", resultNodes)
def databasepatternfilter(x, y, labelname):
print(
'-- databasepatternfilter: retrieving pixels associated with the clicked pattern '
)
from py2neo import Graph, Path, authenticate
authenticate("localhost:7474", "neo4j", "japan123")
graph = Graph()
t = x
x = y
y = t
tx = graph.cypher.execute(
'match (n) WHERE EXISTS(n.color) and n.name={lb} and toFloat(n.tlx)<={x} and toFloat(n.brx)>={x} and toFloat(n.tly)<={y} and toFloat(n.bry)>={y} RETURN n.lbl,n.color',
x=x,
y=y,
lb=labelname)
print(tx[0])
color_val = tx[0]['n.color']
tx = tx[0]['n.lbl']
tx = graph.cypher.execute(
'match (n) WHERE EXISTS(n.color) and n.name={lb} and toFloat(n.lbl)={x} RETURN n.brx, n.bry,n.lbl,n.tlx,n.tly,n.color',
x=int(tx),
lb=labelname)
pixels = []
for i in tx:
tl = [int(i['n.tlx']), int(i['n.tly'])]
br = [int(i['n.brx']), int(i['n.bry'])]
color = i['n.color']
p = Pixel(ast.literal_eval(color), Point(tl[0], tl[1]),
Point(br[0], br[1]))
pixels.extend([p])
#for i in pixels:
# print(str(i))
print('\t 1. Total pixels in the selected pattern is %d' % (len(pixels)))
return pixels, color_val
def getClassLabelColorsFromDatabase(datasetName):
print('--LOADING COLORDICT FROM DATABASE for classLabel')
from py2neo import Graph, Path, authenticate, Node, Relationship
authenticate("localhost:7474", "neo4j", "japan123")
tx = Graph()
opt = tx.cypher.execute(
'MATCH (n:colorClassLabel) where n.name={x} return keys(n)',
x=datasetName)
allColors = str(opt).split('[')[1].split(']')[0]
#print(allColors)
allColors = allColors.replace('\'', '')
allColors = allColors.replace(' ', '')
#print(allColors)
allColors = allColors.replace('uH', 'H') #python2
allColors = allColors.replace('uname', 'name') #python2
allColors = allColors.split(',')
print(allColors)
allColors.remove('name')
color_dict = {}
for a in allColors:
str1 = 'MATCH (n:colorClassLabel) where n.name=\'%s\' return n.%s' % (
datasetName, a)
classLabel = tx.cypher.execute(str1)
n = 'n.' + a
classLabel = classLabel[0][n]
color_dict[classLabel] = '#' + a[1:]
return color_dict
def main(project_directory, ignore_files):
authenticate("localhost:7474", "neo4j", "haruspex")
graph_db = Graph()
dossier = os.path.join(project_directory + "/pages")
if os.path.exists(dossier):
# Pour chaque fiche, analyser son contenu
# et créer les noeuds/liens correspondants
files = [f for f in listdir(dossier) if isfile(join(dossier, f))]
for fiche in files:
if (fiche not in ignore_files):
fiche_analysee = analyseFiche(fiche, dossier, graph_db)
ficheDocumentation(fiche_analysee, "references", dossier,
ignore_files[0], graph_db)
ficheDocumentation(fiche_analysee, "images", dossier,
ignore_files[1], graph_db)
else:
files = [f for f in listdir(project_directory) if (isfile(join(project_directory, f)) and f.endswith('.txt'))]
#TODO récupérer les métadonnées d'omeka sur les documents
for document in files:
print(document.strip(project_directory))
fiche = Fiche(document.replace(project_directory,'').replace('.txt', ''), '', '',
'', '', '')
fiche.create_node(graph_db)
def shortpath(n,j):
# set up authentication parameters
authenticate("localhost:7474", "neo4j", "parola")
# connect to authenticated graph database
graph = Graph("http://localhost:7474/db/data/")
results = graph.cypher.execute("MATCH (martin:PERSON),(oliver:PERSON ),p = shortestPath((martin)-[*..15]-(oliver)) where martin.id= '"+j+"' and oliver.id= '"+n+"' RETURN p")
return render_template("path.html",title='Home',relationship = results[0][0],node1=n,node2=j)
def dataretrieve(text):
text=text.replace("?","")
hit_yes_no=0
print ("Question :",text)
authenticate("linguistic.technology:7474", "neo4j", "DtwAMjrk6zt1bHifYOJ6")
graph = Graph("http://linguistic.technology:7474/db/data/")
for i in range(len(patternsList)):
match=re.match(patternsList[i],text, re.IGNORECASE)
if match is not None:
matchedX=list(match.groups())[-1]
hit_yes_no=1
print ("Match :", matchedX)
break
if hit_yes_no:
cypher=cypherList[i].replace("(.*)",matchedX.replace(" ","_"))
print("Cypher :",cypher)
result=graph.cypher.execute(cypher)
print (result)
#Hits Wikipedia only for factual questions
if len(result)==0 and i<=2:
print ("Here is what we could find from Wikipedia!!!\n")
result=str(wikipedia.page(matchedX).summary.encode(sys.stdout.encoding, 'ignore')).split(".")[:2]
print (".".join(result))
else:
print ("No Matches found!")
print ("-----------------------------------------------------------------------\n")
def loadColorFromDatabase(datasetname):
print('--LOADING COLORDICT FROM DATABASE')
from py2neo import Graph, Path, authenticate, Node, Relationship
authenticate("localhost:7474", "neo4j", "japan123")
tx = Graph()
opt = tx.cypher.execute('MATCH (n:color) where n.name={x} return keys(n)',
x=datasetname)
allColors = str(opt).split('[')[1].split(']')[0]
allColors = allColors.replace('\'', '')
allColors = allColors.replace(' ', '')
allColors = allColors.replace('uH', 'H') #python2
allColors = allColors.replace('uname', 'name') #python2
allColors = allColors.split(',')
allColors.remove('name')
#print('allColors in database are:',allColors)
allSubspace = set([])
color_dict = {}
for a in allColors:
str1 = 'MATCH (n:color) where n.name=\'%s\' return n.%s' % (
datasetname, a)
subspace = tx.cypher.execute(str1)
n = 'n.' + a
subspace = '[' + subspace[0][n] + ']'
subspace = ast.literal_eval(subspace)
color_dict[a] = subspace
for i in subspace:
#print(i)
allSubspace.add(tuple(i))
subspaceList = []
for i in allSubspace:
subspaceList.append(list(i))
return color_dict, subspaceList
def connect_to_db(db_type):
print("Connecting to", db_type, "database . . . ", end="")
sys.stdout.flush()
db_conn = None
try:
if db_type == "mysql":
url = "mysql://" + config.mysql_user + ":" + config.mysql_pass \
+ "@" + "localhost:3306/" + config.mysql_name
db_conn = sql.create_engine(url)
# db_conn = MySQLdb.connect(user=config.mysql_user, \
# passwd=config.mysql_pass).cursor()
elif db_type == "mongo":
db_conn = MongoClient("localhost", 27017)[config.mongo_name]
elif db_type == "neo4j":
authenticate("localhost:7474",
config.neo4j_user, config.neo4j_pass)
db_conn = Graph()
# db_conn = Graph(user=config.neo4j_user,
# password=config.neo4j_pass)
except:
print("\n\nERROR : Can't connect to database")
if db_conn is None:
exit(1)
print("Done!")
return db_conn
def getClaimRecommendations(user):
# delete the graph
authenticate(settings.SECRET_NEO4J_DB_HOSTPORT,
settings.SECRET_NEO4J_DB_USER,
settings.SECRET_NEO4J_DB_PASSWORD)
graph = Graph()
query_conclusions = '''
// get all arguments supported by claims affirmed by the user
MATCH (u:User {user_id:%s})-[:Affirms]->(sc1:Claim)-[:Premise_Of]->(a:Argument)-[:Supports]->(cc:Claim)
, (sc:Claim)-[:Premise_Of]->(a) // get all supporting claims of those arguments
WHERE NOT (u)-[:Affirms]->(cc) // where the user does not already affirm the argument's conclusion
WITH u, a, cc, COLLECT(sc) AS supporting_claims
WHERE ALL (sc IN supporting_claims WHERE (u)-[:Affirms]->(sc)) // where the user affirms all supporting claims of the argument
RETURN cc.claim_id AS claim_id, 'recd_concl' AS rec_type
''' % (user.id)
rec_list = list(graph.run(query_conclusions))
query_premises = '''
// get all arguments supported by claims affirmed by the user
MATCH (u:User {user_id:%s})-[:Affirms]->(sc1:Claim)-[:Premise_Of]->(a:Argument)-[:Supports]->(cc:Claim)
// get all supporting claims of those arguments
, (sc:Claim)-[:Premise_Of]->(a)
// where the user does affirm the argument's conclusion
WHERE (u)-[:Affirms]->(cc)
// return the premises that the user does not yet affirm
WITH u, a, cc, sc
WHERE NOT (u)-[:Affirms]->(sc)
RETURN sc.claim_id AS claim_id, 'recd_premis' AS rec_type
''' % (user.id)
# get query results as a list of named tuples
rec_list += list(graph.run(query_premises))
return rec_list
def make_sequence(self):
authenticate(settings.NeoHost, settings.NeoLog, settings.NeoPass)
graph = Graph("{0}/db/data/".format(settings.NeoHost))
query = """MATCH (start:Video)-[:Jaccard*5..10]->(sequence:Video)
WHERE start<>sequence MATCH p=shortestPath((start:Video)-[:Jaccard*]->(sequence:Video))
WHERE NONE (n IN nodes(p) WHERE size(filter(x IN nodes(p) WHERE n = x))> 1)
RETURN EXTRACT(n IN NODES(p)|[n.id, n.rating]) LIMIT 100000"""
r1 = graph.run(query).data()
k = 0
for i in r1:
#print(i.values)
for video in i['EXTRACT(n IN NODES(p)|[n.id, n.rating])']:
#print(video)
self.seq_ids.append(k)
self.video_ids.append(video[0])
self.ratings.append(video[1])
k+=1
data = {'sequence': self.seq_ids, 'video': self.video_ids, 'rating': self.ratings}
df = pd.DataFrame(data)
df = df[pd.notnull(df['video'])]
print(df)
dz = df.groupby('sequence')['rating'].std()
print(dz)
path = '{0}/{1}/'.format(settings.VideosDirPath, self.game)
if not os.path.exists(path):
os.makedirs(path)
file_name = '{0}/sequences.csv'.format(path)
df.to_csv(file_name, encoding='utf-8')
summary_data = '{0}/summary.csv'.format(path)
dz.to_csv(summary_data, encoding='utf-8')
return
def set_graph(self, config_path):
"""
Parameters
--------------
config_path
path to a config.json with data needed to connect to a db
Return
--------------
None
"""
with open(config_path) as config_data:
config = json.load(config_data)
[str(x) for x in config]
host = config['host']
db_url = 'http://'
if host['use_ssl']:
db_url = 'https://'
db_url += host['address'] + ':' + str(
host['port']) + '/' + host['data_path']
authenticate(host['address'] + ':' + str(host['port']),
host['username'], host['password'])
self.graph = Graph(db_url)
def getTopLeftCoordinates_Grid(x, y, labelname, imgType):
print(
'-- getTopLeftCoordinates_Grid: retrieving top left coordinates of grid '
)
from py2neo import Graph, Path, authenticate
authenticate("localhost:7474", "neo4j", "japan123")
graph = Graph()
t = x
x = y
y = t
tx = graph.cypher.execute(
'match (n) WHERE EXISTS(n.color) and n.name={lb} and toFloat(n.tlx)<={x} and toFloat(n.brx)>={x} and toFloat(n.tly)<={y} and toFloat(n.bry)>={y} RETURN n.block_row,n.block_col,n.color',
x=x,
y=y,
lb=labelname + imgType)
#print(tx[0],'block')
color_val = tx[0]['n.color']
block_row = tx[0]['n.block_row']
block_col = tx[0]['n.block_col']
#labelname+imgType
tx = graph.cypher.execute(
'match(n:n1) where n.name={name} return n.class_count',
name=labelname + '.csv')
class_count = tx[0]['n.class_count'].split(',')
tlx = 0
tly = 0
#print('BBLOCK',block_row,block_col)
for i in range(block_row):
tlx = tlx + int(class_count[i])
for i in range(block_col):
tly = tly + int(class_count[i])
return tlx, tly, block_row, block_col
def main(fichier_relations, dossier, ignore_files):
authenticate("localhost:7474", "neo4j", "haruspex")
graph_db = Graph()
# Pour chaque fiche de mots-clés, analyser son contenu
# et créer les liens correspondants par cooccurrence de mot-clés
# avec les autres fiches
analyseRelations(fichier_relations, dossier, graph_db)
def __init__(self, connectionString=None):
# set up authentication parameters
authenticate("localhost:7474", "neo4j", "123")
self.connectionString = "http://localhost:7474/db/data/"
self._graph_connection = Graph(connectionString)
self.error_file = open("Dump/log/dberror.txt", "a")
return
def relcount():
from py2neo import authenticate, Graph
# set up authentication parameters
authenticate("localhost:7474", "neo4j", "parola")
# connect to authenticated graph database
graph = Graph("http://localhost:7474/db/data/")
results = graph.cypher.execute("MATCH ()-[r]->() RETURN count(r)")
return str(results)
def __init__(self, config_file):
config = ConfigParser.ConfigParser()
config.read(config_file)
authenticate(config.get('db', 'host'), config.get('db', 'username'), config.get('db', 'password'))
self._graph = Graph()
self.port = int(config.get('local', 'port'))
self.auth = config.get('local', 'auth')
self.com_port = int(config.get('local', 'com_port'))
def get_db():
"""Opens a new database connection if there is none yet for the
current application context.
"""
if not hasattr(g, 'graph_db'):
authenticate("localhost:7474", "neo4j", "0000")
g.graph_db = Graph()
return g.graph_db
def handle(self, *args, **options): # pylint: disable=unused-argument
"""
Iterates through each course, serializes them into graphs, and saves
those graphs to neo4j.
"""
# first, make sure that there's a valid neo4j configuration
if settings.NEO4J_CONFIG is None:
raise CommandError(
"No neo4j configuration (NEO4J_CONFIG) defined in lms.auth.json."
)
auth_params = ["{host}:{https_port}", "{user}", "{password}"]
authenticate(*[param.format(**settings.NEO4J_CONFIG) for param in auth_params])
graph = Graph(**settings.NEO4J_CONFIG)
mss = ModuleStoreSerializer()
total_number_of_courses = len(mss.all_courses)
for index, course in enumerate(mss.all_courses):
# first, clear the request cache to prevent memory leaks
RequestCache.clear_request_cache()
log.info(
"Now exporting %s to neo4j: course %d of %d total courses",
course.id,
index + 1,
total_number_of_courses
)
nodes, relationships = mss.serialize_course(course.id)
log.info(
"%d nodes and %d relationships in %s",
len(nodes),
len(relationships),
course.id
)
transaction = graph.begin()
try:
# first, delete existing course
transaction.run(
"MATCH (n:item) WHERE n.course_key='{}' DETACH DELETE n".format(
six.text_type(course.id)
)
)
# now, re-add it
self.add_to_transaction(nodes, transaction)
self.add_to_transaction(relationships, transaction)
transaction.commit()
except Exception: # pylint: disable=broad-except
log.exception(
"Error trying to dump course %s to neo4j, rolling back",
six.text_type(course.id)
)
transaction.rollback()
def authenticate(self, uri='localhost:7474'):
'''
Authenticate ourselves to the neo4j database using our credentials
'''
if self.isdefault:
self.update()
if DEBUG:
print >> sys.stderr, 'AUTH WITH ("%s")' % str(self)
py2neo.authenticate(uri, self.name, self.auth)
def getSocialFormation(id=0):
authenticate("localhost:7474", "neo4j", "1111")
graph = Graph(graph_DB_url)
res = graph.cypher.execute("MATCH (n:SocialFormation {id:{id}}) RETURN n", {"id": id})
if 0 != len(res):
return res
else:
return None
def connect(self):
url = current_app.config['DATABASE']
u = current_app.config['USERNAME']
p = current_app.config['PASSWORD']
if u and p:
authenticate(url.strip('http://'),u,p)
graph = Graph(url+'/db/data')
return graph
def newNode(user, photo):
py2neo.authenticate("localhost:7474", "neo4j", "porkunja")
Photos(name=photo).save()
if not existUser(user):
User(name=user).save()
usernode = User.nodes.get(name=user)
photonode = Photos.nodes.get(name=photo)
usernode.uploader.connect(photonode)
photonode.uploaded.connect(usernode)
return
def main():
# Connect to Neo4j instance
authenticate("localhost:7474", "neo4j", "qwerty1")
graph = Graph()
#Set up query to get list of all nodes by classification
biomarker_query = (
"MATCH (n:Gene)-[:HAS_ABERRATION]->(a:Aberration {entity_class:'biomarker'}) "
"WHERE NOT( (n)-[:HAS_ABERRATION]->({entity_class:'modifier'} ) ) "
"RETURN DISTINCT ID(n) as id, n.name as name order by name"
)
biomarker_query = "MATCH (n:Gene {entity_class:'biomarker'}) RETURN DISTINCT ID(n) as id, n.name as name order by name"
modifier_query = (
"MATCH (n:Gene)-[:HAS_ABERRATION]->(a:Aberration {entity_class:'modifier'}) "
"WHERE NOT( (n)-[:HAS_ABERRATION]->({entity_class:'biomarker'} ) ) "
"RETURN DISTINCT ID(n) as id, n.name as name order by name"
)
modifier_query = "MATCH (n:Gene {entity_class:'modifier'}) RETURN DISTINCT ID(n) as id, n.name as name order by name"
bio_mod_query = (
"MATCH (n:Gene)-[:HAS_ABERRATION]->(a:Aberration {entity_class:'modifier'}) "
"WHERE ( (n)-[:HAS_ABERRATION]->({entity_class:'biomarker'} ) ) "
"RETURN DISTINCT ID(n) as id, n.name as name order by name"
)
bio_mod_query = ("MATCH (n:Gene {entity_class:'modifier'}) RETURN DISTINCT ID(n) as id, n.name as name order by name "
"UNION MATCH (n:Gene {entity_class:'biomarker'}) RETURN DISTINCT ID(n) as id, n.name as name order by name "
)
drug_query = "MATCH (d:Drug) RETURN DISTINCT ID(d) as id, d.name as name order by name"
gene_query = "MATCH (g:Gene) RETURN DISTINCT ID(g) as id, g.name as name order by name"
allNode_query = "MATCH n RETURN DISTINCT ID(n) as id, n.name as name order by name"
aberration_query = "MATCH a RETURN DISTINCT ID(a) as id, a.name as name order by name"
print "Executing Queries..."
biomarkers = graph.cypher.execute(biomarker_query)
modifiers = graph.cypher.execute(modifier_query)
bio_mods = graph.cypher.execute(bio_mod_query)
drugs = graph.cypher.execute(drug_query)
genes = graph.cypher.execute(gene_query)
allNodes = graph.cypher.execute(allNode_query)
aberrations = graph.cypher.execute( aberration_query )
#Make http request to neo4j to get degree for each.
print "Writing to Files..."
writeFile("pc2_druggene_biomarker_degrees.csv",biomarkers,graph)
writeFile("pc2_druggene_modifier_degrees.csv",modifiers,graph)
#writeFile("pc2_druggene_bio_mod_degrees.csv",bio_mods,graph)
writeFile("pc2_druggene_drug_degrees.csv",drugs,graph)
writeFile("pc2_druggene_gene_degrees.csv",genes,graph)
writeFile("pc2_druggene_allnode_degrees.csv",allNodes,graph)
#writeFile("pc2_aberration_degrees.csv",aberrations,graph)
print "Done"
def __init__(self, host_port, user, password):
'''Makes connection to Neo4j database'''
# set up authentication parameters
authenticate(host_port, user, password)
# connect to authenticated graph database
url = 'http://{}/db/data/'.format(host_port)
self.graph = Graph(url)
try:
self.graph.schema.create_uniqueness_constraint('User', 'id')
except: #ConstraintViolationException
print 'Unique id on Node User already exists'
def start():
py2neo.authenticate(config('neo4j.server'), config('neo4j.username'), config('neo4j.password'))
g = py2neo.Graph()
r = redis.StrictRedis(host=config('redis.server'), port=config('redis.port'), db=config('redis.db'))
number = 0
for node in g.cypher.execute("match (n:USER) where exists(n.gender) return n.domain as domain"):
number += 1
print(number, node.domain)
r.sadd(config('set.crawled_user'), node.domain)
def __init__(self, connection_alias, model_registry=registry, **connection_options):
self._connection_alias = connection_alias
url = connection_options.get('URL', 'http://localhost:7474/db/data/')
user = connection_options.get('USER', 'neo4j')
password = connection_options.get('PASSWORD', 'neo4j')
self._is_test = connection_options.get('IS_TEST', False)
self._registry = model_registry
py2neo.authenticate(urlparse(url).netloc, user, password)
self._graph = py2neo.Graph(url)