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from gremlin_python.process.anonymous_traversal import traversal
from gremlin_python.process.graph_traversal import __
from radish import pick


@pick
def create_lookup_v(remote):
    g = traversal().with_(remote)

    # hold a map of name/vertex for use in asserting results
    return g.V().group().by('name').by(__.tail()).next()


@pick
def create_lookup_e(remote):
    g = traversal().with_(remote)

    # hold a map of the "name"/edge for use in asserting results - "name" in this context is in the form of
    # outgoingV-label->incomingV
    return g.E().group(). \
        by(lambda: ("it.outVertex().value('name') + '-' + it.label() + '->' + it.inVertex().value('name')", "gremlin-groovy")). \
        by(__.tail()).next()


@pick
def create_lookup_vp(remote):
    g = traversal().with_(remote)

    # hold a map of the "name"/vertexproperty for use in asserting results - "name" in this context is in the form of
    # vertexName-propName->propVal where the propVal must be typed according to the gherkin spec. note that the toy
    # graphs only deal in String/Int/Float/Double types so none of the other types are accounted for here.
    return g.V().properties().group(). \
        by(lambda: ("{ it -> \n" +
                    "  def val = it.value()\n" +
                    "  if (val instanceof Integer)\n" +
                    "    val = 'd[' + val + '].i'\n" +
                    "  else if (val instanceof Float)\n" +
                    "    val = 'd[' + val + '].f'\n" +
                    "  else if (val instanceof Double)\n" +
                    "    val = 'd[' + val + '].d'\n" +
                    "  return it.element().value('name') + '-' + it.key() + '->' + val\n" +
                    "}", "gremlin-groovy")). \
        by(__.tail()).next()