dataplug 3.0.0a0

Schemaless, NoSQL, multi-model data interactions on top ArangoDB

DataPlug

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 !

Main requirements for devs

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

Installation

pip install dataplug

Quick start

import 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()

Update your node data

• 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)

Testing

pytest -v tests