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

Project description


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


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",
data={"name":"NODE_A", "value":3.14},

# Saving it into database
if A.upsave():

# Creating another node
B = dataplug.Node(domain="db1",
data={"name":"NODE_B", "value":1.41},

# Saving it into database

# 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


Update your node data

- That replaces data totally with newdata dictionnary:
``` = newdata

- That searches of similar node in the database and updates/adds data:

- To append/update data with newdata use:


pytest -v tests

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