{
    "info": {
        "author": "Troy Larson",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Graph Runner (ALPHA)\n## Overview\n`graph-runner` provides a way to add actual Python code to Graph DB nodes, which can be used to create real-time dynamically property values. Rather than only storing fixed values, you have the option to create rich property values that can be calculated on-the-fly with other vertex property values.\n\n> **IMPORTANT:** This codebase currently uses the `exec()` method to execute Python code. This was\n> used for sake of time since this was built for a specific trusted project. Ideally, a more secure\n> method should be used, but just be aware that arbitrary code can be executed.\n\n## Quick Start\nTo install `graph-runner`:\n\n    pip install graph-runner\n\nWhile there's no full documentation yet, here's a code sample that walks you through the majority of the current features. Make sure that you export a CONN_STR environment variable that matches your connections string.\n\nThe only code this does not show is the [https://github.com/troylar/graph-runner/blob/master/entities/__init__.py](https://github.com/troylar/graph-runner/blob/master/entities/__init__.py \"custom entities\"). Each custom entity maps to a node type. You simply have to define the `exec_properties` in the class definition, which define which properties that contain executable code.\n\n```python\nfrom gremlin_python import statics\nfrom gremlin_python.structure.graph import Graph\nfrom gremlin_python.process.graph_traversal import __\nfrom gremlin_python.process.strategies import *\nfrom gremlin_python.driver.driver_remote_connection import DriverRemoteConnection\nfrom graph_entity import GraphEntity\nfrom entities import EventEntity, PersonEntity\nimport os\n\ngraph = Graph()\n\ng = graph.traversal().withRemote(DriverRemoteConnection(os.environ.get('CONN_STR'),'g'))\n\n# We're going to add an entity to the graph\nfirst_event = EventEntity(Traversal=g)\nprint('Adding node')\n\n# add_node() returns a traversal, so we have to next()\nfirst_event.add_node().next()\n\n# Now we're going to add a dynamic property called 'ignore_if' with a simple boolean piece of code\n# NOTE: exec_val is always required as the return value\nfirst_event.ignore_if = 'exec_val=1==1'\n\n# print the id\nprint('Node id = {}'.format(first_event.id))\n\n# print the node type, which maps to the EventEntity class and is saved as a property in the graph\nprint('Node type: {}'.format(first_event.full_self()))\n\n# this is where it gets cool . . . the ignore_if property method was dynamically added to the python object\n# and when you access the property, it executes the code and returns the value\nprint('ignore_if property: {}'.format(first_event.ignore_if()))\n\n# now let's create a GraphEntity object and from scratch, load the node we just created\nge = GraphEntity(Traversal=g)\nprint('Getting node')\nnode = ge.from_node(first_event.id)\nprint('Node id = {}'.format(node.id))\nprint('Node type: {}'.format(node.full_self()))\nprint('ignore_if property: {}'.format(node.ignore_if()))\n\n# let's create a person entity with an 'is_present' property\npe = PersonEntity(Traversal=g)\nprint('Adding person')\npe.add_node().next()\npe.is_present = 'True'\n\n# let's create a second event\nsecond_event = EventEntity(Traversal=g)\nprint('Adding another event')\nsecond_event.add_node().next()\n\n# let's add some more complex logic to a property\n# this property is saying that if the person is present, move to the next event\nnext_node_code = \"\"\"\nfrom graph_entity import GraphEntity\nge = GraphEntity(Traversal=g)\n\nif ge.from_node('{}').is_present()=='True':\n    exec_val = g.V('{}')\nelse:\n    exec_val = \"N/A\"\n\"\"\".format(pe.id, second_event.id)\n\n# because is_present is true, we get our next node\nfirst_event.next_node = next_node_code\nprint(first_event.next_node())\n\n# change is_present to false, and the next_node is N/A\npe.is_present = 'False'\nprint(first_event.next_node())\n\n# we can also use jinja2 templating, which allows us to pass in dynamic values at run-time\n# in this case, it's the same code, but we we're alloing the ids to be passed in at run-time\nnext_node_template = \"\"\"\nfrom graph_entity import GraphEntity\nge = GraphEntity(Traversal=g)\n\nif ge.from_node('{{ person_node_id }}').is_present()=='True':\n    exec_val = g.V('{{ next_node_id }}')\nelse:\n    exec_val = \"N/A\"\n\"\"\"\n\n # run the same code, but pass ids at run-time\nfirst_event.next_node = next_node_template\npe.is_present = 'True'\nprint(first_event.next_node(Data={'person_node_id': pe.id, 'next_node_id': second_event.id}))\n\npe.is_present = 'False'\nprint(first_event.next_node(Data={'person_node_id': pe.id, 'next_node_id': second_event.id}))\n```",
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