def get_triple(cls, id_):
"""
返回三元组节点
:rtype: list[Node]
:param id_: 节点uuid
:return: s节点, p节点, o节点
"""
node = NodeMatcher(graph_).match(cls.__name__, id=id_).first()
r_matcher = RelationshipMatcher(graph_)
r = r_matcher.match((node, None), "HAS_SUBJECT").first()
# r.__repr__()
print(r)
subject_node = r.end_node
r_matcher = RelationshipMatcher(graph_)
r = r_matcher.match((node, None), "HAS_PREDICATE").first()
print(r)
predictate_node = r.end_node
r_matcher = RelationshipMatcher(graph_)
r = r_matcher.match((node, None), "HAS_OBJECT").first()
print(r)
object_node = r.end_node
return subject_node, predictate_node, object_node
def rate_post(post_id, relation, username):
# get current time for time of rating
time = get_time()
try:
# get user node
matcher = NodeMatcher(GRAPH)
user_node = matcher.match("User", username=username).first()
# get post node
post_node = matcher.match("Post", post_id=post_id).first()
if user_node is not None and post_node is not None:
# get relationship matcher
rel_matcher = RelationshipMatcher(GRAPH)
# check if the user has already liked/disliked the post
already_liked = rel_matcher.match([user_node, post_node],
'LIKED').first()
already_disliked = rel_matcher.match([user_node, post_node],
'DISLIKED').first()
# if the user is trying to rate a post the same way twice, their rating is removed
if already_liked is not None and relation == "LIKED":
GRAPH.separate(already_liked)
return str(True)
elif already_disliked is not None and relation == "DISLIKED":
GRAPH.separate(already_disliked)
return str(True)
# if the user is switching their rating, we delete to old one, and create a new one
elif already_liked is not None and relation == "DISLIKED":
GRAPH.separate(already_liked)
elif already_disliked is not None and relation == "LIKED":
GRAPH.separate(already_disliked)
# create relationship between user and post
GRAPH.merge(
Relationship(user_node, relation, post_node, rate_time=time),
relation)
return str(True)
else:
print("Either the user or the post couldn't be found")
return str(False)
except Exception as e:
print(e)
return str(False)
def main():
MDG = Graph()
tx = MDG.begin()
node_matcher = NodeMatcher(MDG)
rel_matcher = RelationshipMatcher(MDG)
all_nodes = node_matcher.match("Artifact")
for node in all_nodes:
nexts = rel_matcher.match(nodes=(node, None), r_type="NEXT")
if len(nexts) <= 1:
continue
if len(nexts) > 2:
exceptions.write(node[coordinates] +
": node has 3 or more NEXT!\n")
continue
seq_next = []
seq_rel = []
for r in nexts:
seq_rel.append(r)
i = 0
for n in walk(r):
if i == 1:
seq_next.append(n)
r1, r2 = seq_rel[0], seq_rel[1]
n1, n2 = seq_next[0], seq_next[1]
if n1["version"] < n2["version"]:
tx.separate(r2)
else:
tx.separate(r1)
tx.commit()
def create_relationship(graph, rel_tuple):
"""
create the new rel in the graph if the rel doesn't exist, create new nodes if necessary
:param graph:
:param rel_tuple:
:return:
"""
label_1 = str(rel_tuple[0][0])
name_1 = str(rel_tuple[0][1])
label_2 = str(rel_tuple[2][0])
name_2 = str(rel_tuple[2][1])
rel_type = str(rel_tuple[1][0])
rel_name = str(rel_tuple[1][1])
# check dup
matcher = NodeMatcher(graph)
node_1 = matcher.match(label_1, name=name_1).first()
node_2 = matcher.match(label_2, name=name_2).first()
if node_1 and node_2:
r_matcher = RelationshipMatcher(graph)
first_rel = r_matcher.match([node_1, node_2], rel_type,
name=rel_name).first()
if first_rel:
return
elif node_1 and not node_2:
node_2 = Node(label_2, name=name_2)
elif node_2 and not node_1:
node_1 = Node(label_1, name=name_1)
else:
node_1 = Node(label_1, name=name_1)
node_2 = Node(label_2, name=name_2)
# create rel
rel = Relationship(node_1, rel_type, node_2, name=rel_name)
graph.create(rel)
def get_rels_from_db(graph):
graph = connect_graph()
matcher = RelationshipMatcher(graph)
relationships = list(matcher.match())
rel_data = []
for rel in relationships:
rel_json = {
'direction': rel['direction'],
'length': rel['length'],
'is_tram': rel['is_tram'],
'is_bus': rel['is_bus'],
'is_trolleybus': rel['is_trolleybus'],
'is_connector': rel['is_connector'],
'link_type_id': rel['link_type_id'],
'pedestrian_mode_id': rel['pedestrian_mode_id'],
'move_time': rel['move_time'],
'walking_time': rel['walking_time'],
'null_time': rel['null_time'],
'time_bus': rel['time_bus'],
'time_tram': rel['time_tram'],
'speed': rel['speed'],
'node_id_from': rel.start_node.identity,
'node_id_to': rel.end_node.identity
}
rel_data.append(rel_json)
return rel_data
def getRelations():
start_type = request.args['start_type']
start_node = request.args['start_node']
end_node = request.args['end_node']
end_type = request.args['end_type']
rel_type = request.args['rel_type']
results = []
r_matcher = RelationshipMatcher(DB)
# 条件0： 没有给出任何信息
if not rel_type and not start_type and not start_node and not end_node and not end_type:
return jsonify({'code': '1001', 'msg': 'no messages'})
# 条件1：没给出开始节点和结束节点的任何信息，但给出关系类型
elif rel_type and not start_type and not start_node and not end_node and not end_type:
for re in r_matcher.match(r_type=rel_type):
results.append({
'start_node': re.start_node['name'],
'end_node': re.end_node['name'],
'attr': dict(re)
})
return jsonify(results)
# 条件2：给出了开始节点或者结束节点
elif start_node or end_node:
results = []
# 条件2.1： 并且给出关系类型
if rel_type:
matcher = RelationshipMatch(DB, r_type=rel_type)
# 条件2.2：没有给出关系类型
else:
matcher = RelationshipMatch(DB)
# 条件2.3：同时给出了开始节点和结束节点
if start_node and end_node:
for re in matcher.where('a.name="%s" AND b.name= "%s"' %
(start_node, end_node)):
results.append({
'start_node': re.start_node['name'],
'end_node': re.end_node['name'],
'attr': dict(re)
})
# 条件2.4：只存在开始节点，没有结束节点
elif start_node and not end_node:
for re in matcher.where('a.name="%s"' % start_node):
results.append({
'start_node': re.start_node['name'],
'end_node': re.end_node['name'],
'attr': dict(re)
})
# 条件2.5：只存在结束节点不存在开始节点
elif end_node and not start_node:
for re in matcher.where('b.name= "%s"' % end_node):
results.append({
'start_node': re.start_node['name'],
'end_node': re.end_node['name'],
'attr': dict(re)
})
return jsonify(results)
else:
return jsonify({'code': '1002', 'msg': 'error messages'})
def processItem(item):
neo4jGraph = item
node_labels = neo4jGraph.schema.node_labels
relationship_types = neo4jGraph.schema.relationship_types
node_matcher = NodeMatcher(neo4jGraph)
relationship_matcher = RelationshipMatcher(neo4jGraph)
vertices = []
edges = []
nodes = []
for node_label in node_labels:
nodes = nodes + (list(node_matcher.match(node_label)))
print(nodes)
for node in nodes:
#Check if they have X, Y, Z coordinates
if ('x' in node.keys()) and ('y' in node.keys()) and (
'z' in node.keys()) or ('X' in node.keys()) and (
'Y' in node.keys()) and ('Z' in node.keys()):
x = node['x']
y = node['y']
z = node['z']
vertex = topologic.Vertex.ByCoordinates(x, y, z)
else:
vertex = randomVertex(vertices, 1)
keys = list(node.keys())
values = []
for key in keys:
values.append(node[key])
d = processKeysValues(keys, values)
_ = vertex.SetDictionary(d)
vertices.append(vertex)
for node in nodes:
for relationship_type in relationship_types:
relationships = list(
relationship_matcher.match([node], r_type=relationship_type))
for relationship in relationships:
print(" ", relationship.start_node['name'],
relationship_type, relationship.end_node['name'])
print("Nodes Index:", nodes.index(relationship.start_node))
sv = vertices[nodes.index(relationship.start_node)]
ev = vertices[nodes.index(relationship.end_node)]
edge = topologic.Edge.ByStartVertexEndVertex(sv, ev)
if relationship.start_node['name']:
sv_name = relationship.start_node['name']
else:
sv_name = 'None'
if relationship.end_node['name']:
ev_name = relationship.end_node['name']
else:
ev_name = 'None'
d = processKeysValues(["relationship_type", "from", "to"],
[relationship_type, sv_name, ev_name])
if d:
_ = edge.SetDictionary(d)
edges.append(edge)
return topologic.Graph.ByVerticesEdges(vertices, edges)
def returnPodcasts():
# Connect to database
graph = Graph("http://*****:*****@localhost:7474")
nodematcher = NodeMatcher(graph)
relamatcher = RelationshipMatcher(graph)
# Find the nodes for the cast members and the podcast.
castNodes = nodematcher.match("CAST")
podcastNodes = nodematcher.match("PODCAST")
nodes = []
# Convert the nodes to GraphJSON format for Alchemy.js
for node in castNodes:
nodes.append({
"id": node.identity,
"name": node["name"],
"rta": node["rta"],
"tp": node["tp"],
"ao": node["ao"]
})
for node in podcastNodes:
nodes.append({
"id": node.identity,
"name": node["name"],
"rta": node["rta"],
"tp": node["tp"],
"ao": node["ao"]
})
jsonNodes = dumps(nodes)
# Find the Relationships within the database
relationships = relamatcher.match(None, "APPEARED_ON")
edges = []
# Convert the relationships to GraphJSON
for rel in relationships:
edges.append({
"source": rel.start_node.identity,
"target": rel.end_node.identity,
"role": "appeared_on"
})
jsonEdges = dumps(edges)
# Create a json string with all GraphJSON
finalJson = '{"nodes": ' + jsonNodes + ', "edges": ' + jsonEdges + '}'
# Save file to server cache
with open(webserverstatic + 'main.json', "w+") as jsonFile:
jsonFile.write(finalJson)
jsonFile.close()
# Send file to template to display generated graph
return render_template('showdata.html', message="main")
def node_to_rela(self, node_object): #节点转关系
relmatch = RelationshipMatcher(self.graph)
rela = []
for i in range(len(node_object) - 1):
temp = (list(
relmatch.match(nodes=(node_object[i]['node'],
node_object[i + 1]['node']))))
for j in temp:
rela.append(j)
return rela
def get_or_create_relationship(start_node, relationship_type, end_node,
**properties):
created = False
matcher = RelationshipMatcher(graph)
relationship = matcher.match(nodes=[start_node, end_node],
r_type=relationship_type)
if not relationship.exists():
created = True
relationship = graph.create(
Relationship(start_node, relationship_type, end_node,
**properties))
return created, relationship
def test_rel_index_cache(self):
folder = os.path.dirname(os.path.abspath(__file__))
test_driller = CacheDriller(os.path.join(folder, 'cnfg_simple.yml'))
test_driller.drill_batch_cache_sequential()
# test that all relationships were indexed
rel_matcher = RelationshipMatcher(test_driller.graph)
all_branch = list(rel_matcher.match(None, "BranchCommit"))
assert len(all_branch) == 8
all_authorship = list(rel_matcher.match(None, "Author"))
assert len(all_authorship) == 8
all_parent = list(rel_matcher.match(None, "Parent"))
assert len(all_parent) == 8
all_updadedfile = list(rel_matcher.match(None, "UpdateFile"))
assert len(all_updadedfile) == 9
all_hasmethod = list(rel_matcher.match(None, "Method"))
assert len(all_hasmethod) == 5
all_updatemethod = list(rel_matcher.match(None, "UpdateMethod"))
assert len(all_updatemethod) == 9
test_driller.clean()
def AddWalksWithRelathionship(name1, name2):
graph = GetGraph()
matcher = NodeMatcher(graph)
rel_matcher = RelationshipMatcher(graph)
tx = graph.begin()
t = int(_time.time())
person_1 = matcher.match("Person").where("_.name = '" + name1 +
"'").first()
person_2 = matcher.match("Person").where("_.name = '" + name2 +
"'").first()
walks_with = rel_matcher.match(nodes=[person_1, person_2],
r_type="WALKS_WITH").first()
walks_with_reverse = rel_matcher.match(nodes=[person_2, person_1],
r_type="WALKS_WITH").first()
# print(walks_with)
# print(walks_with_reverse)
if walks_with is None:
walks_with = Relationship(person_1,
"WALKS_WITH",
person_2,
weight=0,
last_time=t)
tx.create(walks_with)
elif t - walks_with['last_time'] > 60:
walks_with['weight'] += 1
walks_with['last_time'] = t
tx.push(walks_with)
if walks_with_reverse is None:
walks_with_reverse = Relationship(person_2,
"WALKS_WITH",
person_1,
weight=0,
last_time=t)
tx.create(walks_with_reverse)
elif t - walks_with_reverse['last_time'] > 60:
walks_with_reverse['weight'] += 1
walks_with_reverse['last_time'] = t
tx.push(walks_with_reverse)
tx.commit()
def test_custom_attributes_rel(self):
folder = os.path.dirname(os.path.abspath(__file__))
test_driller = Driller(os.path.join(folder, 'cnfg_simple.yml'))
test_driller.drill_batch()
node_matcher = NodeMatcher(test_driller.graph)
rel_matcher = RelationshipMatcher(test_driller.graph)
commit = node_matcher.match(
"Commit",
hash="aa6fa504ccb0fa919acc3cb31e510dc2048314eb0656f34babada15c"
).first()
assert commit['is_merge'] == 0
update_file_rel = rel_matcher.match([commit], "UpdateFile").first()
assert update_file_rel['complexity'] == 2
assert update_file_rel['nloc'] == 8
assert update_file_rel['old_path'] == 'gr_test/default_class.py'
assert update_file_rel['path'] == 'gr_test/default_class.py'
assert update_file_rel['token_count'] == 42
assert update_file_rel['type'] == 'MODIFY'
assert update_file_rel['removed'] == 6
assert update_file_rel['added'] == 0
update_method_rel = rel_matcher.match([commit], 'UpdateMethod').first()
# assert update_method_rel['type'] == 'DELETE'
assert update_method_rel['nloc'] == 5
assert update_method_rel['complexity'] == 2
assert update_method_rel['token_count'] == 21
assert update_method_rel['length'] == 5
assert update_method_rel['fan_in'] == 0
assert update_method_rel['fan_out'] == 0
assert update_method_rel['start_line'] == 11
assert update_method_rel['end_line'] == 15
test_driller.clean()
def dfs(self, *label, **properties):
'''
Version 1：dfs 直到没有边为止 doing
有边相连就遍历，除非遍历到函数-ROOT节点，此时不再往上遍历
Version 2：dfs 遍历时候添加条件判断
'''
matcher = NodeMatcher(self.graph)
rel_matcher = RelationshipMatcher(self.graph)
node = matcher.match(*label, **properties)
node_passed = before = list(node)
after = list()
while before:
# 每次进入循环，向外再遍历一层（层次遍历）
for now_node in before:
rels = rel_matcher.match({now_node})
for rel in rels:
start, end = rel.nodes
# 此处后面添加，对节点的判断（如到函数根节点时停，节点属性进行判断操作）
if start not in node_passed and start.get(
"attribute")[-9:] != "java-ROOT":
after.append(start)
node_passed.append(start)
if end not in node_passed:
after.append(end)
node_passed.append(end)
before = after
after = list()
# 使用字典保存所有出现的标签
all_labels = list()
for _ in node_passed:
if all_labels:
temp = sorted(_.labels)
if temp not in all_labels:
all_labels.append(temp)
else:
all_labels.append(sorted(_.labels))
# test
all_id = set()
for _ in node_passed:
all_id.add(_.get("id"))
return node_passed, sorted(all_id), all_labels
def get_intent_relations(self):
'''
获取所有意图关系数据： 34 --> 35 意图之间的层级关系
:return: [（34,35）,(56,57)]
'''
re_matcher = RelationshipMatcher(self.graph)
re_list = list(re_matcher.match(r_type='ex_context'))
for _r in re_list:
name_to_id = []
_re_unit = tuple(re.findall('\((.*?)\)', str(_r))) # 匹配数字
for _name in _re_unit:
_id = self.id_to_name[_name]
name_to_id.append(str(_id))
_tuple = tuple(name_to_id)
self.re_cols.append(_tuple)
print("self.re_cols:",self.re_cols)
return self.re_cols
def getEntityRels():
type = request.args['type']
entity_name = request.args['name']
# 获取特定的节点
node = NodeMatcher(DB).match(type, name=entity_name).first()
# 获取该节点的所有关系
rel_matcher = RelationshipMatcher(DB)
rels = rel_matcher.match(nodes=set([node, None]))
result = []
for re in rels:
result.append({
'start_node': re.start_node,
'end_node': re.end_node,
'path': str(re),
'attr': dict(re)
})
return jsonify(result)
def _createAuthor(pub, names):
graph = connectGraph()
print(' Creating Authors')
for auth in names:
matcher = NodeMatcher(graph)
aNode = matcher.match("Author", name=auth['name']).first()
if aNode is None:
aNode = Node('Author', name=auth['name'])
path_1 = Path(aNode, 'AUTHORED', pub)
graph.create(path_1)
else:
#Check the relationship
rmatcher = RelationshipMatcher(graph)
auNode = rmatcher.match((aNode,pub), "AUTHORED").first()
if auNode is None:
path_1 = Path(aNode, 'AUTHORED', pub)
graph.create(path_1)
def _createReferences(pub, references):
graph = connectGraph()
print(' Creating References')
for ref in references:
#Find the Paper details
matcher = NodeMatcher(graph)
pbNode = matcher.match("Paper", id=ref).first()
if pbNode == None:
#path_1 = Node('PAPER', 'AMINER', name=ref)
pbNode = Node('Paper', id=ref)
path_1 = Path(pub, 'REFERENCE', pbNode)
graph.create(path_1)
else:
#Check for existing relationship
rmatcher = RelationshipMatcher(graph)
auNode = rmatcher.match((pbNode, pub), "REFERENCE").first()
if auNode is None:
path_1 = Path(pub, 'REFERENCE', pbNode)
graph.create(path_1)
def count_Selected_User_MENTIONS(id_str):
if (Neo4jConnection.Neo4jEntry.graph_neo4j == None):
#print("Conect neo4j before with Conect_Neo4j() function.")
return None
else:
try:
selector = NodeMatcher(Neo4jConnection.Neo4jEntry.graph_neo4j)
user = selector.match("Selected_User", id_str=id_str).first()
count = 0
if(user!=None):
relationship = RelationshipMatcher(Neo4jConnection.Neo4jEntry.graph_neo4j)
rels = relationship.match(r_type="MENTIONS",nodes=(None,user))
for rel in rels:
if(rel != None):
count = count + 1
return count
except Exception as e:
print(e)
return None
def _createKeywords(pub, keywords):
graph = connectGraph()
print(' Creating Keywords')
for kw in keywords:
#Find keywords TODO : Check for duplicate on re-run
matcher = NodeMatcher(graph)
#pbNode = matcher.match("KEYWORDS", kw.upper(), name=kw.lower()).first()
pbNode = matcher.match("Keywords", kw.lower(), name=kw.lower()).first()
if pbNode == None:
pbNode = Node('Keywords', kw.lower(), name=kw.lower())
path_1 = Path(pub, 'CONTAINS', pbNode)
graph.create(path_1)
else:
#Check for existing relationship
rmatcher = RelationshipMatcher(graph)
auNode = rmatcher.match((pbNode,pub), "CONTAINS").first()
if auNode is None:
path_1 = Path(pub, 'CONTAINS', pbNode)
graph.create(path_1)
def GetKSP(self, s_label, s_key, s_content, e_label, e_key, e_content, k,
weight):
cql = '''
MATCH (start:%s{%s:"%s"}), (end:%s{%s:"%s"})
CALL algo.kShortestPaths.stream(start, end, %s, "%s" ,{direction:'OUTGOING', path: true})
YIELD index, nodeIds, costs,path
RETURN [node in algo.getNodesById(nodeIds) | node] AS nodes,
costs,
reduce(acc = 0.0, cost in costs | acc + cost) AS totalCost,
path
''' % (s_label, s_key, s_content, e_label, e_key, e_content, k, weight)
res = self.graph.run(cql).data()
relmatch = RelationshipMatcher(self.graph)
rela = []
for i in res:
for j in range(len(i['nodes']) - 1):
temp = (list(
relmatch.match(nodes=(i['nodes'][j], i['nodes'][j + 1]))))
for k in temp:
rela.append(k)
return rela
def GetShortTestPath(self, s_label, s_key, s_content, e_label, e_key,
e_content, weight):
cql1 = '''
MATCH (start:%s{%s:"%s"}),(end:%s{%s:"%s"})
CALL algo.shortestPath.stream(start, end, "%s")
YIELD nodeId,cost
WITH nodeId,cost
CALL apoc.get.nodes(nodeId)
YIELD node
RETURN node
''' % (s_label, s_key, s_content, e_label, e_key, e_content, weight)
res_node = self.graph.run(cql1).data()
relmatch = RelationshipMatcher(self.graph)
rela = []
for i in range(len(res_node) - 1):
temp = (list(
relmatch.match(nodes=(res_node[i]['node'],
res_node[i + 1]['node']))))
for j in temp:
rela.append(j)
return rela
def readGrapy(graph):
nodes = []
for i in graph.nodes.match('device'):
print(i['name'])
node_device = {}
node_device['id'] = i['name']
node_device['group'] = 1
nodes.append(node_device)
for i in graph.nodes.match('vul'):
print(i['name'])
node_vul = {}
node_vul['id'] = i['name']
node_vul['group'] = 2
nodes.append(node_vul)
for i in graph.nodes.match('patch'):
print(i['name'])
node_patch = {}
node_patch['id'] = i['name']
node_patch['group'] = 3
nodes.append(node_patch)
links = []
matcher = RelationshipMatcher(graph)
for i in matcher.match():
source = i.start_node['name']
target = i.end_node['name']
dict_link = {}
dict_link['source'] = source
dict_link['target'] = target
dict_link['value'] = 1
links.append(dict_link)
dict_json = {}
dict_json["nodes"] = nodes
dict_json["links"] = links
saveToJson(dict_json)
def update_user_settings(username, settings):
try:
# get node of user updating their settings
matcher = NodeMatcher(GRAPH)
user_node = matcher.match("User", username=username).first()
# get relationship matcher
rel_matcher = RelationshipMatcher(GRAPH)
# find user's settings node
rel = rel_matcher.match([user_node, None], 'HAS_SETTINGS').first()
settings_node = rel.end_node
for setting in settings:
settings_node[setting] = settings[setting]
GRAPH.push(settings_node)
return str(True)
except Exception as e:
print(e)
return str(False)
def search():
# 完善一下的话，html的地方写个循环
if request.method == 'POST':
information = request.form.get("information")
graph = Graph('http://localhost:7474', username='******', password='******')
matcher = NodeMatcher(graph)
nodelist = list(matcher.match())
numlist1 = ['first', 'second', 'third', 'fourth', 'fifth', 'sixth', 'seventh']
numlist2 = ['one', 'two', 'three', 'four']
nodedict = dict(zip(numlist1, nodelist))
relmatch = RelationshipMatcher(graph)
relist = list(relmatch.match())
reldict = dict(zip(numlist2, relist))
# nodedict1 = json.dumps(nodedict, encoding='UTF-8', ensure_ascii=False)
# reldict1 = json.dumps(reldict, encoding='UTF-8', ensure_ascii=False)
return render_template('index.html', **nodedict, **reldict)
return render_template('search.html')
class graphDB_interface:
def __init__(self):
config_str = ''.join(open(CFG_FILE).readlines()).replace('\n', ' ')
config = json.loads(config_str)
self.graph = Graph(config['url'],
name=config['name'],
password=config['password'])
self.nodematcher = NodeMatcher(self.graph)
self.relmatcher = RelationshipMatcher(self.graph)
def fuzzySearchNode(self,
labels,
attrs,
fuzzymatcher=fuzzyMatchStr,
mode=0):
'''
mode = 0, confident on labels (though maybe partial), allow fuzzy matching for attrs
'''
if isinstance(labels, str):
labels = [labels]
candidates = []
for node in self.nodematcher.match(*labels):
for key, value in attrs.items():
v = node[key]
match = v == value if fuzzymatcher is None else fuzzymatcher(
v, value)
if match:
candidates.append(node)
return candidates
def fuzzySearchRels(self, label1, attrs1, label2, attrs2, rtype):
pass
def searchNode(self, labels, attrs):
if isinstance(labels, str):
labels = [labels]
name = '_.name=' + '\'' + attrs['name'] + '\''
node = self.nodematcher.match(*labels).where(name).first()
# for index in graphDB.graph.nodes:
# node = graphDB.graph.nodes[index]
# print(node.labels, node.keys())
return node
def createNode(self, labels, attrs):
if isinstance(labels, str):
labels = [labels]
node = self.searchNode(labels, attrs)
if node is None:
node = Node(*labels, **attrs)
self.graph.create(node)
return True
print('node {} is already exists.'.format(attrs))
return False
def searchRel_onhead(self, label, attrs, rtype):
node = self.searchNode(label, attrs)
if node is None:
print(
'node {} does not exists. Search relation from it returns nothing.'
.format(attrs))
return None
rel = self.relmatcher.match((node, None), rtype).first()
return rel
def searchRel_ontail(self, label, attrs, rtype):
node = self.searchNode(label, attrs)
if node is None:
print(
'node {} does not exists. Search relation to it returns nothing.'
.format(attrs))
return None
rel = self.relmatcher.match((None, node), rtype).first()
return rel
def searchRel(self, label1, attrs1, label2, attrs2, rtype):
node1 = self.searchNode(label1, attrs1)
node2 = self.searchNode(label1, attrs1)
if node1 is None or node2 is None:
print(
'node {} or {} does not exists. Search relation between them returns nothing'
.format(attrs1, attrs2))
return None
rel = self.relmatcher.match((node1, node2), rtype).first()
return rel
def createRel(self, label1, attrs1, label2, attrs2, rtype):
node1 = self.searchNode(label1, attrs1)
node2 = self.searchNode(label2, attrs2)
if node1 is None or node2 is None:
print('node {} or {} does not exists. Please create them first.'.
format(attrs1, attrs2))
return False
rel = self.searchRel(label1, attrs1, label2, attrs2, rtype)
if rel is not None:
print('relation {} is already exists.'.format(rel))
return False
rel = Relationship(node1, rtype, node2)
self.graph.create(rel)
return True
def empty(self):
self.graph.delete_all()
class GotGraph(object):
"""
This object provides a set of helper methods for creating and retrieving nodes and relationships from
a Neo4j database holding information about players, teams, fans, comments and their relationships.
"""
# Note:
# I tend to avoid object mapping frameworks. Object mapping frameworks are fun in the beginning
# but tend to be annoying after a while. So, I did not create types Player, Team, etc.
#
# Connects to the DB and sets a Graph instance variable.
# Also creates a NodeMatcher and RelationshipMatcher, which are a py2neo framework classes.
def __init__(
self,
auth=('neo4j', 'dbuserdbuser'),
host='localhost',
port=7687,
secure=False,
):
self._graph = Graph(secure=secure,
bolt=True,
auth=auth,
host=host,
port=port)
self._node_matcher = NodeMatcher(self._graph)
self._relationship_matcher = RelationshipMatcher(self._graph)
def run_q(self, qs, args):
"""
:param qs: Query string that may have {} slots for parameters.
:param args: Dictionary of parameters to insert into query string.
:return: Result of the query, which executes as a single, standalone transaction.
"""
try:
tx = self._graph.begin(autocommit=False)
result = self._graph.run(qs, args)
return result
except Exception as e:
print("Run exaception = ", e)
def run_match(self, labels=None, properties=None):
"""
Uses a NodeMatcher to find a node matching a "template."
:param labels: A list of labels that the node must have.
:param properties: A dictionary of {property_name: property_value} defining the template that the
node must match.
:return: An array of Node objects matching the pattern.
"""
#ut.debug_message("Labels = ", labels)
#ut.debug_message("Properties = ", json.dumps(properties))
if labels is not None and properties is not None:
result = self._node_matcher.match(labels, **properties)
elif labels is not None and properties is None:
result = self._node_matcher.match(labels)
elif labels is None and properties is not None:
result = self._node_matcher.match(**properties)
else:
raise ValueError(
"Invalid request. Labels and properties cannot both be None.")
# Convert NodeMatch data into a simple list of Nodes.
full_result = []
for r in result:
full_result.append(r)
return full_result
def find_nodes_by_template(self, tmp):
"""
:param tmp: A template defining the label and properties for Nodes to return. An
example is { "label": "Fan", "template" { "last_name": "Ferguson", "first_name": "Donald" }}
:return: A list of Nodes matching the template.
"""
labels = tmp.get('label', None)
props = tmp.get("template", None)
result = self.run_match(labels=labels, properties=props)
return result
def create_node(self, label, **kwargs):
n = Node(label, **kwargs)
tx = self._graph.begin(autocommit=True)
tx.create(n)
return n
# Given a UNI, return the node for the Fan.
def get_character(self, character_id):
n = self.find_nodes_by_template({
"label": "Character",
"template": {
"character_id": character_id
}
})
if n is not None and len(n) > 0:
# I should throw an exception here if there is more than 1.
n = n[0]
else:
n = None
return n
def get_related_characters(self, ch_id, r_kind):
t = self.get_character(ch_id.upper())
nodes = set()
nodes.add(t)
n = self._relationship_matcher.match(nodes, r_type=r_kind.upper())
return n
def create_character_relationship(self, source_id, target_id, label):
"""
Create a SUPPORTS relationship from a Fan to a Team.
:param uni: The UNI for a fan.
:param team_id: An ID for a team.
:return: The created SUPPORTS relationship from the Fan to the Team
"""
f = self.get_character(source_id)
t = self.get_character(target_id)
l = label.upper()
r = Relationship(f, l, t)
tx = self._graph.begin(autocommit=True)
tx.create(r)
return r
def get_appearance(self, player_id, team_id, year_id):
"""
Get the information about appearances for a player and team.
:param player_id: player_id
:param team_id: team_id
:param year_id: The year for getting appearances.
:return:
"""
try:
# Get the Nodes at the ends of the relationship representing appearances.
p = self.get_player(player_id)
t = self.get_team(team_id)
# Run a match looking for relationships of a specific type linking the nodes.
rm = self._graph.match(nodes=[p, t], r_type="APPEARED")
result = []
# If there is a list of relationships.
if rm is not None:
for r in rm:
# The type will be a class APPEARED() because of the OO mapping.
node_type = type(r).__name__
year = r['year']
# If the type and year are correct, add to result
if node_type == "APPEARED" and (year == year_id
or year_id is None):
result.append(r)
return result
else:
return None
except Exception as e:
print("get_appearance: Exception e = ", e)
raise e
# Create an APPEARED relationship from a player to a Team
def create_appearance_all(self, player_id, team_id, year, games):
"""
:param player_id: O
:param team_id:
:param year:
:param games:
:return:
"""
try:
tx = self._graph.begin(autocommit=False)
q = "match (n:Player {player_id: '" + player_id + "'}), " + \
"(t:Team {team_id: '" + team_id + "'}) " + \
"create (n)-[r:APPEARED { games: " + str(games) + ", year : " + str(year) + \
"}]->(t)"
result = self._graph.run(q)
tx.commit()
except Exception as e:
print("create_appearances: exception = ", e)
# Create a FOLLOWS relationship from a Fan to another Fan.
def create_follows(self, follower, followed):
f = self.get_fan(follower)
t = self.get_fan(followed)
r = Relationship(f, "FOLLOWS", t)
tx = self._graph.begin(autocommit=True)
tx.create(r)
def get_comment(self, comment_id):
"""
:param comment_id: Comment ID
:return: Comment
"""
n = self.find_nodes_by_template({
"label": "Comment",
"template": {
"comment_id": comment_id
}
})
if n is not None and len(n) > 0:
n = n[0]
else:
n = None
return n
def create_comment(self, uni, comment, team_id=None, player_id=None):
"""
Creates a comment
:param uni: The UNI for the Fan making the comment.
:param comment: A simple string.
:param team_id: A valid team ID or None. team_id and player_id cannot BOTH be None.
:param player_id: A valid player ID or None
:return: The Node representing the comment.
"""
if uni is None or comment is None or (player_id is None
and team_id is None):
raise ValueError("create_comment: invalid input.")
comment_id = str(
uuid.uuid4()) # Generate a UUID. Will explain in class.
fan = None
team = None
player = None
tx = None
try:
tx = self._graph.begin(
) # We are going to make a transactional update.
fan = self.get_fan(uni) # Get the node for the Fan.
if fan is None:
raise ValueError("create_comment: Fan node node found.")
if team_id is not None:
team = self.get_team(team_id)
if team is None:
raise ValueError("create_comment: Team node node found.")
if player_id is not None:
player = self.get_player(player_id)
if player is None:
raise ValueError("create_comment: Player node node found.")
c = Node("Comment", comment_id=comment_id, comment=comment)
tx.create(c)
pc = Relationship(fan, "COMMENT_BY", c)
tx.create(pc)
if player is not None:
pr = Relationship(c, "COMMENT_ON", player)
tx.create(pr)
if team is not None:
p2 = Relationship(c, "COMMENT_ON", team)
tx.create(p2)
tx.commit()
return c
except Exception as e:
if tx:
tx.rollback()
raise RuntimeError(
"create_comment: Something evil happened., e = " + str(e))
def create_sub_comment(self, uni, origin_comment_id, comment):
"""
Create a sub-comment (response to a comment or response) and links with parent in thread.
:param uni: ID of the Fan making the comment.
:param origin_comment_id: Id of the comment to which this is a response.
:param comment: Comment string
:return: Created comment.
"""
if uni is None or origin_comment_id is None or comment is None:
raise ValueError("create_sub_comment: invalid input.")
comment_id = str(
uuid.uuid4()) # Generate a UUID. Will explain in class.
fan = None
origin_comment = None
tx = None
try:
tx = self._graph.begin(
) # We are going to make a transactional update.
fan = self.get_fan(uni) # Get the node for the Fan.
if fan is None:
raise ValueError("create_sub_comment: Fan node node found.")
origin_comment = self.get_comment(origin_comment_id)
if origin_comment is None:
raise ValueError(
"create_sub_comment: Original comment node not found.")
c = Node("Comment", comment_id=comment_id, comment=comment)
tx.create(c)
sc = Relationship(c, "RESPONSE_TO", origin_comment)
tx.create(sc)
pc = Relationship(fan, "RESPONSE_BY", c)
tx.create(pc)
tx.commit()
except Exception as e:
if tx:
tx.rollback()
raise RuntimeError(
"create_comment: Something evil happened., e = " + str(e))
def get_sub_comments(self, comment_id):
"""
:param comment_id: The unique ID of the comment.
:return: The sub-comments.
"""
q = "match (c:Comment {comment_id: {cid}})<-[response:RESPONSE_TO]-(sc:Comment) return sc,response,c"
c = self._graph.run(q, cid=comment_id)
return c
def get_roster(self, team_id, year_id):
q = "match (t:Team {team_id: {tid}})<-[a:APPEARED {year: {yid}}]-(p:Player) " + \
" return t.team_id, t.team_name, a.year, a.games, p.player_id, p.last_name, p.first_name"
c = self._graph.run(q, tid=team_id, yid=year_id)
return c
def get_player_comments(self, player_id):
"""
Gets all of the comments associated with a player, all of the comments on the comment and comments
on the comments, etc. Also returns the Nodes for people making the comments.
:param player_id: ID of the player.
:return: Graph containing comment, comment streams and commenters.
"""
q = 'match (fan)-[by:COMMENT_BY]->(comment)-[on:COMMENT_ON]->(player:Player {player_id: {pid}}) ' + \
'return fan.uni, fan.last_name, fan.first_name, comment.comment_id, comment.comment, ' + \
" player.player_id, player.last_name, player.first_name "
result = self._graph.run(q, pid=player_id)
return result
def get_player_comments_g(self, player_id):
"""
Gets all of the comments associated with a player, all of the comments on the comment and comments
on the comments, etc. Also returns the Nodes for people making the comments.
:param player_id: ID of the player.
:return: Graph containing comment, comment streams and commenters.
"""
q = 'match (fan)-[by:COMMENT_BY]->(comment)-[on:COMMENT_ON]->(player:Player {player_id: {pid}}) ' + \
'return fan, by, comment, on, player '
result = self._graph.run(q, pid=player_id)
return result
def get_team_comments(self, team_id):
"""
Gets all of the comments associated with a teams, all of the comments on the comment and comments
on the comments, etc. Also returns the Nodes for people making the comments.
:param player_id: ID of the team.
:return: Graph containing comment, comment streams and commenters.
"""
t = self.get_team(team_id)
nodes = set()
nodes.add(t)
n = self._relationship_matcher.match(nodes, r_type="COMMENT_ON")
return n
def get_players_by_team(self, team_id):
"""
:param team_id: Team ID
:return: List of Nodes representing players who played for the team.
"""
q = "match (p:Player)-[r:APPEARED]->(t:Team) where t.team_id={tid} return p,r,t"
result = self._graph.run(q, tid=team_id)
result = result.data()
ans = []
for r in result:
current = dict(r['p'].items())
current['year'] = r['r']['year']
ans.append(current)
return ans
def find_dep_node(MDG, matcher, dep):
if len(dep) != 3:
return (None, "the dependency is malformed!")
# Remember, we fiddled with dep so dep[2] is not quite version
version, needs_match = dep[2]
v = version
# If it needs a match, there are two trailing characters at the end
if needs_match:
v = version[:-2]
found_nodes = matcher.match("Artifact",
groupID=dep[0],
artifact=dep[1],
version=v)
# If we can't find the node, we add it to the MDG
if len(found_nodes) == 0:
tx = MDG.begin()
dep_node = Node("Artifact",
groupID=dep[0],
artifact=dep[1],
version=version,
coordinates=dep[0] + ":" + dep[1] + ":" + v)
tx.create(dep_node)
tx.commit()
# If we need a match, this is not the node we're looking for
# and we can't really find the one we're looking for
# so we simply add it to the exceptions
if needs_match:
return (None, "finding the dependency requires a" +
" node match that is impossible!")
else:
return (dep_node, "")
elif len(found_nodes) > 1:
return (None, "multiple nodes with the same Maven coordinates!")
found_node = found_nodes.first()
# Otherwise, we found the node. If we need a match
if needs_match:
r_matcher = RelationshipMatcher(MDG)
# Either we need the version immediately preceding or
# immediately following the current node.
# In both cases, if we can't find the relationship, we can't do much
# If we do, we return the corresponding node
# NB: the "None" in nodes mean "any node"
if version[-1] == 'm':
found_rs = r_matcher.match(nodes=(None, found_node), r_type="NEXT")
found_r = found_rs.first()
if found_r is None:
return (
None,
"finding the dependency requires a relationship match that is impossible!"
)
return (found_r.start_node, "")
else:
found_rs = r_matcher.match(nodes=(found_node, None), r_type="NEXT")
found_r = found_rs.first()
if found_r is None:
return (None, "finding the dependency requires" +
"a relationship match that is impossible!")
return (found_r.end_node, "")
else:
return (found_node, "")
def returnDoF():
person = request.args.get('person')
# Connect to database
graph = Graph("http://*****:*****@localhost:7474")
nodematcher = NodeMatcher(graph)
relamatcher = RelationshipMatcher(graph)
nodes = []
edges = []
# Find the node for the person selected
personNode = nodematcher.match("COSTAR", name=person).first()
# Convert node to GraphJSON
nodes.append({
"id": personNode.identity,
"name": personNode["name"],
"rta": personNode["rta"],
"tp": personNode["tp"],
"ao": personNode["ao"]
})
# Find all relationships for the selected person
ships1 = relamatcher.match((personNode, None))
ships2 = relamatcher.match((None, personNode))
# Convert the relationships and nodes to GraphJSON
for ship in ships1:
nodes.append({
"id": ship.end_node.identity,
"name": ship.end_node["name"],
"rta": ship.end_node["rta"],
"tp": ship.end_node["tp"],
"ao": ship.end_node["ao"]
})
edges.append({
"source": ship.start_node.identity,
"target": ship.end_node.identity,
"role": "appeared_with"
})
for ship in ships2:
nodes.append({
"id": ship.start_node.identity,
"name": ship.start_node["name"],
"rta": ship.start_node["rta"],
"tp": ship.start_node["tp"],
"ao": ship.start_node["ao"]
})
edges.append({
"source": ship.start_node.identity,
"target": ship.end_node.identity,
"role": "appeared_with"
})
jsonNodes = dumps(nodes)
jsonEdges = dumps(edges)
# Create a final json file with all GraphJSON
finalJson = '{"nodes": ' + jsonNodes + ', "edges": ' + jsonEdges + '}'
# Save file to server cache
fileLocation = (webserverstatic + person + '.json').encode("utf-8")
with open(fileLocation, "w+") as test:
test.write(finalJson)
# Send file to template to display generated graph
return render_template('showdata.html', message=person)
# 创建节点（均可直接赋值变量）
a = Node('User', name='yaim') #第1个参数为节点类型，第2个参数为节点属性和值
b = Node('User', name='fyl')
# 创建关系
r = Relationship(a, 'SAME', b)
# 将节点和关系加入到数据库
s = a | b | r
graph.create(s)
#查询节点
print(graph.nodes[0]) #根据节点id，返回节点
print(graph.nodes.get(0)) #同上
print(list(graph.nodes.match('User'))) #根据条件，返回节点列表
print(graph.nodes.match('User', name='yaim').first()) #根据条件，返回第1个节点
# 查询关系
rel_matcher = RelationshipMatcher(graph)
rel_all = list(rel_matcher.match()) #获取所有关系，返回列表
rel_this = list(rel_matcher.match(r_type='SAME')) #获取某一关系，返回列表
# 删除节点
node_del = graph.nodes.match('User', name='temp').first() #先查询到某一个节点
graph.delete(node_del) #再删除
# ***删除关系
rel_del = rel_matcher.match(r_type='SAME').first() #先查询到某一个关系
graph.delete(rel_del) #再删除，*连带删除节点？*
# 更新节点
node_update = graph.nodes.match('User', name='yaim').first() #先查询到某一个节点
node_update['name'] = 'yaim_new' #更新该节点某一属性值
graph.push(node_update) #提交更新
# ***更新关系