| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # 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 |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| import sys |
| |
| sys.path.append("..") |
| |
| from gremlin_python.process.anonymous_traversal import traversal |
| from gremlin_python.process.strategies import * |
| from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection |
| |
| VERTEX_LABEL = 'person' |
| |
| def main(): |
| server_url = 'ws://localhost:8182/gremlin' |
| rc = DriverRemoteConnection(server_url, 'g') |
| g = traversal().with_remote(rc) |
| |
| # basic Gremlin: adding and retrieving data |
| v1 = g.add_v(VERTEX_LABEL).property('name', 'marko').next() |
| v2 = g.add_v(VERTEX_LABEL).property('name', 'stephen').next() |
| v3 = g.add_v(VERTEX_LABEL).property('name', 'vadas').next() |
| |
| # be sure to use a terminating step like next() or 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.V(v1).add_e('knows').to(v2).property('weight', 0.75).iterate() |
| g.V(v1).add_e('knows').to(v3).property('weight', 0.75).iterate() |
| |
| # retrieve the data from the "marko" vertex |
| marko = g.V().has(VERTEX_LABEL, 'name', 'marko').values('name').next() |
| print("name: " + marko) |
| |
| # find the "marko" vertex and then traverse to the people he "knows" and return their data |
| people_marko_knows = g.V().has(VERTEX_LABEL, 'name', 'marko').out('knows').values('name').to_list() |
| for person in people_marko_knows: |
| print("marko knows " + person) |
| |
| rc.close() |
| |
| |
| if __name__ == "__main__": |
| main() |