More Neo4j than you can shake a cat at
Project description
tamarind
🥭
manage multiple ephemeral neo4j containers
Installation
Install from PyPI using pip:
pip3 install tamarind
You will need Docker already installed if you intend to use the Docker provisioning service.
Usage
Creating a new db
from tamarind import Neo4jDockerProvisioner
N = Neo4jDockerProvisioner()
N.start("MyDatabase")
Now you can access this graph database through py2neo:
>>> N["MyDatabase"]
<py2neo.Graph>
The object returned is a py2neo.database.Graph
object:
>>> N["MyDatabase"].run("MATCH (a:Person) RETURN a.name, a.born LIMIT 4").data()
[{'a.born': 1964, 'a.name': 'Keanu Reeves'},
{'a.born': 1967, 'a.name': 'Carrie-Anne Moss'},
{'a.born': 1961, 'a.name': 'Laurence Fishburne'},
{'a.born': 1960, 'a.name': 'Hugo Weaving'}]
List all
>>> N.ps().keys()
['MyDatabase', 'OldDatabase']
Stop a service
>>> N.stop("OldDatabase")
>>> N.ps().keys()
['MyDatabase']
Legal
Licensed under Apache 2.0. Reach out to opensource@fitmango.com with questions.
Copyright 2019 FitMango.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this codebase 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.
Made with ❤️ at 🥭
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