A simple graph data manager, in other words: on the fly schemaless multi-model data client with timeseries wannabees.
Inspired by InfluxDB, ElasticSearch and other cool stuffs that do not cover a little thing: Graphization !
Dataplug supports the last updates of Arango and its python driver.
- Python driver for Arango version > 4
- ArangoDB version >= 3.3 A multi-model no-sql graph database
pip install dataplugimport dataplug server_config = { "host":"localhost", "port": 7144, "username": "root", "password":"autoGeneRatEd" } # Creating a node, locally A = dataplug.Node(domain="db1", collection="collection1", data={"name":"NODE_A", "value":3.14}, client_config=server_config) # Saving it into database if A.upsave(): print(A.key()) # Creating another node B = dataplug.Node(domain="db1", collection="collection2", data={"name":"NODE_B", "value":1.41}, client_config=server_config) # Saving it into database B.upsave() # Creating an edge between these nodes edgeAB = dataplug.Edge("db1", A, B) # Adding information to the edge edgeAB.add_field("strength", "high") # Saving it into database edgeAB.upsave()- That replaces data totally with newdata dictionnary:
node.data = newdata - That searches of similar node in the database and updates/adds data:
node.sync() - To append/update data with newdata use:
node.data.update(newdata) pytest -v tests