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# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
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# under the License.
from gremlin_python.process.anonymous_traversal import traversal
from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection
import json
to_string = json.dumps
def main():
# connect to a remote server that is compatible with the Gremlin Server protocol. for those who
# downloaded and are using Gremlin Server directly be sure that it is running locally with:
#
# bin/gremlin-server.sh console
#
# which starts it in "console" mode with an empty in-memory TinkerGraph ready to go bound to a
# variable named "g" as referenced in the following line.
g = traversal().withRemote(DriverRemoteConnection('ws://localhost:8182/gremlin', 'g'))
# add some data - be sure to use a terminating step like iterate() so that the traversal
# "executes". iterate() does not return any data and is used to just generate side-effects
# (i.e. write data to the database)
g.addV('person').property('name', 'marko').as_('m'). \
addV('person').property('name', 'vadas').as_('v'). \
addE('knows').from_('m').to('v').iterate()
# retrieve the data from the "marko" vertex
print("marko: " + to_string(g.V().has('person', 'name', 'marko').valueMap().next()))
# find the "marko" vertex and then traverse to the people he "knows" and return their data
print("who marko knows: " + to_string(g.V().has('person', 'name', 'marko').out('knows').valueMap().next()))
if __name__ == "__main__":
main()