def main(size=None, depth=3):
graphcommons = GraphCommons('sk_IDfGvifqeRuvQ7HnCcAEsg')
if size is None:
G = read_generated_grid_edgelist()
else:
G = generate_grid_edgelist(size, depth)
signals = [
Signal(action="node_create", name=node, type=data['type'])
for (node, data) in G.nodes(data=True)
]
signals.extend([
Signal(action="edge_create",
from_name=source,
from_type=G.node[source]['type'],
to_name=target,
to_type=G.node[target]['type'],
name=data['type'],
weight=1) for source, target, data in G.edges(data=True)
])
created_graph = new_graph(graphcommons,
signals=signals,
name="NPM Dependency Graph",
description="NPM Dependency Graph")
print('Created Graph URL:')
print('https://graphcommons.com/graphs/%s' % created_graph.id)
def main(access_token, package_name, max_depth):
graph = DiGraph()
graphcommons = GraphCommons(access_token)
import_package_dependencies(graph, package_name, max_depth=max_depth)
signals = []
for (node, data) in graph.nodes(data=True):
if data['type'] == 'PACKAGE':
reference = "https://www.npmjs.com/package/%s" % node
else:
reference = 'https://www.npmjs.com/~%s' % node
signals.append(Signal(
action="node_create",
name=node,
type=data['type'],
reference=reference
))
for source, target, data in graph.edges(data=True):
signals.append(Signal(
action="edge_create",
from_name=source,
from_type=graph.node[source]['type'],
to_name=target,
to_type=graph.node[target]['type'],
name=data['type'],
weight=1
))
created_graph = graphcommons.new_graph(
name="Dependency Network of %s" % package_name,
description="Dependency Network of %s Package" % package_name,
signals=signals
)
print 'Created Graph URL:'
print 'https://graphcommons.com/graphs/%s' % created_graph.id
def main(access_token, package_name, max_depth):
graph = DiGraph()
graphcommons = GraphCommons(access_token)
import_package_dependencies(graph, package_name, max_depth=max_depth)
signals = []
for (node, data) in graph.nodes(data=True):
if data['type'] == 'PACKAGE':
reference = "https://www.npmjs.com/package/%s" % node
else:
reference = 'https://www.npmjs.com/~%s' % node
signals.append(
Signal(action="node_create",
name=node,
type=data['type'],
reference=reference))
for source, target, data in graph.edges(data=True):
signals.append(
Signal(action="edge_create",
from_name=source,
from_type=graph.node[source]['type'],
to_name=target,
to_type=graph.node[target]['type'],
name=data['type'],
weight=1))
created_graph = graphcommons.new_graph(
name="Dependency Network of %s" % package_name,
description="Dependency Network of %s Package" % package_name,
signals=signals)
print 'Created Graph URL:'
print 'https://graphcommons.com/graphs/%s' % created_graph.id
def main():
data = 'dependencies_data.json'
with open(data, 'r') as data_file:
json_data = json.load(data_file)
for package, dependencies in json_data.items():
print(package, dependencies)
# build dependency graph
graph = DiGraph()
build_graph_from_dict(graph, json_data)
# create graph on graph commons
graphcommons_client = GraphCommons(access_token)
graph_id = create_graph_visualization(graphcommons_client, graph,
"300 Starts")
print('graph id:', graph_id)
def test():
package_name = "/package/web3"
dependency_tree_depth = 5
# import package dependencies
dependencies_dict = {}
import_package_dependencies(package_name, dependencies_dict,
dependency_tree_depth, 0)
# print out dependency dictionary
for k, v in dependencies_dict.items():
print(k, v)
# build graph from dependency dict
graph = DiGraph()
build_graph_from_dict(graph, dependencies_dict)
# create graph on graph commons
graphcommons_client = GraphCommons(access_token)
package_name = package_name.replace('/package/', '')
graph_id = create_graph_visualization(graphcommons_client, graph,
package_name)
print('graph id:', graph_id)
for element in chain(journalists, newspapers, reasons):
node = create_node(**dict(element))
signals.append(Signal(**node))
total_num_node += 1
print "Total # of node: %d" % total_num_node
update_graph(api, graph_id, signals)
signals = []
for element in edges:
edge = create_edge(**dict(element))
signals.append(Signal(**edge))
update_graph(api, graph_id, signals)
return graph_id
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--developer-key', required=True)
parser.add_argument('--input-file', required=True)
parser.add_argument('--graph-id')
args = parser.parse_args()
api = GraphCommons(args.developer_key)
print create_from_txt(api, args.input_file)
print api.status()
# to run this script: python run.py --developer-key <YOUR_DEV_KEY> --input-file <INPUT_FILE (tab separated file)>
def __init__(self, api_key, graph_id):
if graph_id:
self.graph_id = graph_id
self.api = GraphCommons(api_key)
self.graph = None
class GraphApi(object):
def __init__(self, api_key, graph_id):
if graph_id:
self.graph_id = graph_id
self.api = GraphCommons(api_key)
self.graph = None
def create_new_graph(self, graph_name, subtitle, description):
graph = self.api.new_graph(
name=graph_name,
subtitle=subtitle,
description=description,
signals=[]
)
print("Created a graph with id {}".format(graph['id']))
self.graph_id = graph['id']
return self.graph_id
@staticmethod
def create_signals(input_filename):
result = []
f = open(input_filename, "r")
line = f.readline()
while line:
line = line.strip()
obj = json.loads(line)
result.append(Signal(**obj))
line = f.readline()
f.close()
return result
def get_nodes_by_node_type(self, node_type, query=None):
graph = self.get_graph()
def filter_function(node):
if node.type != node_type:
return False
if query:
if node.name.find(query) >= 0:
return True
else:
return False
else:
return True
return filter(filter_function, graph.nodes)
@staticmethod
def create_nodetype_dicts(nodes):
names = [node.name for node in nodes]
node_dict = dict(zip(names, nodes))
return node_dict
def get_graph(self, refresh=False):
if self.graph is None or refresh:
graph = self.api.graphs(self.graph_id)
self.graph = graph
return self.graph
def get_all_node_types(self):
graph = self.get_graph()
node_types = [t.name for t in graph._node_types.values()]
return dict((t, self.get_nodes_by_node_type(t)) for t in node_types)
def get_node_ids_types_names(self):
types = self.get_all_node_types()
for node_type, nodes in types.iteritems():
for node in nodes:
yield node.name, node.id, node_type
def get_paths(self, from_id, to_id, **kwargs):
d = {"from": from_id, "to": to_id}
d.update(kwargs) # add other key-value pairs.
paths = self.api.paths(self.graph_id, d)
to_return = []
for p in paths:
speech = p['nodes'][1]
to_return.append(dict(reference=speech.reference, path_string=p['path_string']))
return to_return
def upsert_edges(self, signals, chunk_size=100):
for i in range(0, len(signals) / chunk_size + 1):
# print signals[i*chunk_size:(i+1)*chunk_size]
self.api.update_graph(
id=self.graph_id,
signals=signals[i * chunk_size:(i + 1) * chunk_size]
)
print("Updated graph... {} of {}".format(min((i + 1) * chunk_size, len(signals)), len(signals)))
from graphcommons import GraphCommons, Signal
graphcommons = GraphCommons('sk_GhRtjThEbbq5zlxQuWkBGg')
graphcommons.update_graph(
id='7bbf3204-647d-4cbc-81c5-94b5d802710c',
signals=[
Signal(
action='node_create',
name='ETI',
type='Company',
description='Lovely'
)
]
)