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        "author": "Alberto Cetoli",
        "author_email": "alberto@nlulite.com",
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        "description": "# ParvusDB a simple, in-memory graph database\n\n## Requirements \n* python-igraph\n* hy\n* python 3.5\n\n## Installation\npip3 install parvusdb\n\n\n## What is ParvusDB\n\nParvusDB is a small python3 library for handling graph operations. It acts as an in-memory \ngraph database. It is meant to be used for small graphs (a few hundred nodes)\n\n## Graph format\nGraphs are written as a collection of _edges_ and _vertices_. A vertex is written as\n```\n{}(a)\n```\n\nwhere `a` is the name of the vertex. This name is used for the operations on the vertex iself.\nA vertex can have properties written inside the brackets\n```\n{'tag': 'PERSON', 'text': 'john'}(a)\n```\n\nThe text inside the brackets is in the JSON format. \nEach of these properties is associated to the node and stored inside the graph\n\nThe edges are written as\n```\n{}(a,b)\n```\n\nwhere `a` is the _source_ node name and `b` is the _target_ node name. \nAs for the vertex, properties can be added inside the brackets\n```\n{'relation': 'LIVES_AT'}(a,b)\n```\n\nA vertex can have a name too, though it must be given as a property\n ```\n{'relation': 'LIVES_AT', 'name': 'r1'}(a,b)\n```\n\n\nA triplet can therefore be written in the form.\n ```\n{'tag': 'PERSON', 'text': 'john'}(a), {'relation': 'LIVES_AT'}(a,b), {'tag': 'PLACE', 'text': 'London'}(b)\n```\n\n## Keywords of the graph database\nThere are 6 commands (they must be typed in upper case)\n* CREATE\n* DELETE\n* MATCH\n* RETURN\n* SET\n* WHERE\n\n### The keyword CREATE\nThis command creates the graph on the right hand side\n```\nCREATE {'tag': 'PERSON', 'text': 'john'}(a), {'relation': 'LIVES_AT'}(a,b), {'tag': 'PLACE', 'text': 'London'}(b);\n```\n\n### The keyword MATCH\nThis command matches a graph with the topology and properties specified in the right hand side\n```\nMATCH {'tag': 'PERSON'}(a), {'relation': 'LIVES_AT', 'name': 'r1'}(a,b), {'tag': 'PLACE'}(b);\n```\n\n### The keyword DELETE\nThis keyword deletes the vertex or edge with the names on the right hand side\n```\nDELETE a, b, r1\n```\n\n### The keyword WHERE\nThis keyword let the user specify a LISP code as a condition for the match. \nFor example, if we want the \"text\" parameter of the node `a` to be in a list of names\n```\nMATCH {'tag': 'PERSON'}(a), {'relation': 'LIVES_AT', 'name': 'r1'}(a,b), {'tag': 'PLACE'}(b)\n  WHERE (in (get a \"text\") [\"john\" \"joseph\" \"joachim\"]);\n```\n\n### The keyword SET\nThis command let us modify the content of a graph.\nFor example, if we want to change the text of the node `a`   \n```\nMATCH {'tag': 'PERSON'}(a), {'relation': 'LIVES_AT', 'name': 'r1'}(a,b), {'tag': 'PLACE'}(b)\nSET (assoc a \"text\" \"not john anymore\");\n```\n\n### The keyword RETURN\nThis command let returns the properties of a specific node or edge\n```\nMATCH {'tag': 'PERSON'}(a), {'relation': 'LIVES_AT', 'name': 'r1'}(a,b), {'tag': 'PLACE'}(b)\nRETURN a, r1;\n```\n\nThe return value would be a list of the form\n```\n[{'a': {'tag': 'PERSON', 'text': 'john'}, 'r1': {'relation': 'LIVES_AT'}}]\n```\n\nIf no vertex or edge name is specified, the system return the whole graph (in the 'parvusdb format' ).\n\n## Python3 code examples\n\nLet's add a triplet to a graph\n```python\nfrom igraph import Graph\nfrom parvusdb import GraphDatabase\n\n\nif __name__ == '__main__':\n    g = Graph(directed=True)\n    db = GraphDatabase(g)\n\n    creation_string = \"\"\"\n    CREATE {'tag': 'PERSON', 'text': 'john'}(a), {'relation': 'LIVES_AT'}(a,b), \n           {'tag': 'PLACE', 'text': 'London'}(b) \n    RETURN;\n    \"\"\"\n    lst = db.query(creation_string)\n    print(lst)\n```\n\nwhich brings the output\n```bash\n[{'GRAPH': \"{'tag': 'PERSON', 'text': 'john'}(a), {'tag': 'PLACE', 'text': 'London'}(b), {'relation': 'LIVES_AT'}(a,b)\"}]\n```\n\nThen we can try to match elements of the triplet\n```python\nfrom igraph import Graph, plot\nfrom parvusdb import GraphDatabase\n\n\nif __name__ == '__main__':\n    g = Graph(directed=True)\n    db = GraphDatabase(g)\n\n    creation_string = \"\"\"\n    CREATE {'tag': 'PERSON', 'text': 'john'}(a), {'relation': 'LIVES_AT'}(a,b),\n           {'tag': 'PLACE', 'text': 'London'}(b);\n    \"\"\"\n\n    match_string = \"\"\"\n    MATCH {}(a), {'relation': 'LIVES_AT'}(a,b), {}(b) \n    RETURN a,b;\n    \"\"\"\n\n    lst = db.query(creation_string)\n    lst = db.query(match_string)\n    print(lst)\n```\n\nwith output\n```bash\n[{'a': {'name': 'a', 'tag': 'PERSON', 'text': 'john'}, 'b': {'name': 'b', 'tag': 'PLACE', 'text': 'London'}}]\n```\n\nWe can limit the matching process by using WHERE\n\n```python\nfrom igraph import Graph, plot\nfrom parvusdb import GraphDatabase\n\n\nif __name__ == '__main__':\n    g = Graph(directed=True)\n    db = GraphDatabase(g)\n\n\n    creation_string = \"\"\"\n    CREATE {'tag': 'PERSON', 'text': 'john'}(a), {'relation': 'LIVES_AT'}(a,b),\n           {'tag': 'PLACE', 'text': 'London'}(b)\n    CREATE {'tag': 'PERSON', 'text': 'joseph'}(v1), {'relation': 'LIVES_AT'}(v1,v2),\n           {'tag': 'PLACE', 'text': 'London'}(v2)\n    \"\"\"\n\n    match_string = \"\"\"\n    MATCH {}(_a), {'relation': 'LIVES_AT'}(_a,_b), {}(_b)\n      WHERE (= (get _a \"text\") \"joseph\")\n    RETURN _a,_b;\n    \"\"\"\n\n    lst = db.query(creation_string)\n    lst = db.query(match_string)\n    print(lst)\n```\n\nwith output\n```python\n[{'_b': {'text': 'London', 'tag': 'PLACE', 'name': 'v2'}, '_a': {'text': 'joseph', 'tag': 'PERSON', 'name': 'v1'}}]\n```\n\n## TODO\n* Handling of errors in GraphDatabase.query_lines()\n* Ability to add LISP code outside WHERE and SET statements\n* Create a stand-alone command line for the database\n* Ability to match multiple items\n\n## Known issues\n* The igraph library does not like multiple edges on the same nodes, \n  therefore the MATCH function would not work correctly in those cases\n\n",
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