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        "description": "DataPlug\n========\n\nA simple graph data manager, in other words: on the fly schemaless multi-model data client with timeseries wannabees.\n\nInspired by InfluxDB, ElasticSearch and other cool stuffs that do not cover a little thing: Graphization !\n\n\nMain requirements for devs\n==========================\n\nDataplug supports the last updates of Arango and its python driver.\n\n + [Python driver for Arango](https://github.com/joowani/python-arango) version > 4\n + [ArangoDB](https://www.arangodb.com) version >= 3.3\n\t    A multi-model no-sql graph database\n\n\n\nInstallation\n============\n\n```\npip install dataplug\n```\n\nQuick start\n===========\n\n```\nimport dataplug\n\nserver_config = { \"host\":\"localhost\",\n                  \"port\": 7144,\n                  \"username\": \"root\",\n                  \"password\":\"autoGeneRatEd\" }\n\n# Creating a node, locally\nA = dataplug.Node(domain=\"db1\",\n                  collection=\"collection1\",\n                  data={\"name\":\"NODE_A\", \"value\":3.14},\n                  client_config=server_config)\n\n# Saving it into database\nif A.upsave():\n    print(A.key())\n\n# Creating another node\nB = dataplug.Node(domain=\"db1\",\n                  collection=\"collection2\",\n                  data={\"name\":\"NODE_B\", \"value\":1.41},\n                  client_config=server_config)\n\n# Saving it into database\nB.upsave()\n\n# Creating an edge between these nodes\nedgeAB = dataplug.Edge(\"db1\", A, B)\n\n# Adding information to the edge\nedgeAB.add_field(\"strength\", \"high\")\n\n# Saving it into database\nedgeAB.upsave()\n\n```\n\nUpdate your node data\n=====================\n\n - That replaces data totally with newdata dictionnary:\n ```\n    node.data = newdata\n ```\n\n - That searches of similar node in the database and updates/adds data:\n ```\n    node.sync()\n ```\n\n - To append/update data with newdata use:\n ```\n    node.data.update(newdata)\n ```\n\nTesting\n=======\n\n```\npytest -v tests\n```\n\n\n",
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