Schemaless, NoSQL, multi-model data interactions on top ArangoDB
Project description
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
==========================
+ [Python driver for Arango](https://github.com/joowani/python-arango)
+ [ArangoDB](https://www.arangodb.com) version > 3.2
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" }
A = dataplug.Node(domain="new_database",
collection="nodecollection",
data={"name":"NODE_A", "value":3.14},
client_config=server_config)
if A.upsave():
print(A.key())
```
Testing
=======
```
pytest -v tests
```
========
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
==========================
+ [Python driver for Arango](https://github.com/joowani/python-arango)
+ [ArangoDB](https://www.arangodb.com) version > 3.2
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" }
A = dataplug.Node(domain="new_database",
collection="nodecollection",
data={"name":"NODE_A", "value":3.14},
client_config=server_config)
if A.upsave():
print(A.key())
```
Testing
=======
```
pytest -v tests
```
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