def do_text():
database = request.forms.get('database')
print(database)
db.create_database(database)
db.flush()
source = request.forms.get('source')
document = request.forms.get('document')
node = request.forms.get('node')
relation = request.forms.get('relation')
nc.create_network_text(source, document, node, relation, database)
db.flush()
current_location = Path(os.getcwd())
data_location = current_location / 'data'
graph_location = data_location / 'graph'
config = ConfigManager({
"init": {
"location": graph_location
},
"file_format": "graphml"
})
print(graph_location)
nxds = NetworkXDS(config) # 读取网络用模块
print(nxds.read_graph())
network0 = nxds.read_graph(database)[database]
scale = network0.number_of_nodes()
size = network0.number_of_edges()
print(scale)
print(size)
data = {
'database': database + '.graphml',
'source': source,
'document': document,
'node': node,
'relation': relation,
'node_number': scale,
'edge_number': size,
'nettype': node + ' ' + 'word network',
'weighttype': 'count'
}
print(data)
return data
def set_nxds():
current_location = Path(os.getcwd())
data_location = current_location / 'data'
graph_location = data_location / 'graph'
config = ConfigManager({
"init": {
"location": graph_location
},
"file_format": "graphml"
})
return NetworkXDS(config)
def init():
current_location = Path(os.getcwd())
data_location = current_location / 'data'
graph_location = data_location / 'graph'
config = ConfigManager({
"init": {
"location": graph_location
},
'file_format': 'graphml'
})
return NetworkXDS(config)
def do_author():
database = request.forms.get('database')
print(database)
db.flush()
db.create_database(database)
source = request.forms.get('source')
document = request.forms.get('document')
relation = request.forms.get('relation')
nc.create_network_author(source, document, relation, database)
db.flush()
current_location = Path(os.getcwd())
data_location = current_location / 'data'
graph_location = data_location / 'graph'
config = ConfigManager({
"init": {
"location": graph_location
},
"file_format": "graphml"
})
print(graph_location)
nxds = NetworkXDS(config) # 读取网络用模块
print(nxds.read_graph())
network0 = nxds.read_graph(database)[database]
scale = network0.number_of_nodes()
size = network0.number_of_edges()
print(scale)
print(size)
data = {
'database': database + '.graphml',
'source': source,
'document': document,
'node': "undefined",
'relation': relation,
'node_number': scale,
'edge_number': size,
'nettype': 'author citation network',
'weighttype': 'cite_count'
}
#nettype可以为co work network，此时weighttype改为co_count,这个要在后续版本中再进行动态的修改，暂时只使用citation即可。
print(data)
return data
def do_author():
database = request.forms.get('database')
print(database)
db.flush()
db.create_database(database)
source = request.forms.get('source')
document = request.forms.get('document')
relation = request.forms.get('relation')
nc.create_network_author(source, document, relation, database)
db.flush()
current_location = Path(os.getcwd())
data_location = current_location / 'data'
graph_location = data_location / 'graph'
config = ConfigManager({
"init": {
"location": graph_location
},
"file_format": "graphml"
})
print(graph_location)
nxds = NetworkXDS(config) # 读取网络用模块
print(nxds.read_graph())
network = nxds.read_graph(database)[database]
scale = network.number_of_nodes()
size = network.number_of_edges()
print(scale)
print(size)
data = {
'database': database,
'source': source,
'document': document,
'node': "undefined",
'relation': relation,
'node_number': scale,
'edge_number': size
}
print(data)
return data