print('Id: %s' % node.id)
print('Type: %s' % node.get_type())
def traverse_children(nodes):
for node in nodes:
node.print_details()
traverse_children(node.children)
traverse_children(graph.root_node.children)
get_all_alpha_nodes(graph.root_node.children[0].children)
# ---------------------- Fetch data from DB
data = DataLayer().get_data(rules=[rule], filter={}, limit=5)
# ---------------------- Rule variables
print('\n\nPROCESSING VARIABLES...')
VariableProcessor().process_variables(data=data,
variable_objs=rule['variables'])
# ---------------------- Initiate rule engine
print('\n\nPROCESSING RULES...')
engine = RuleEngine()
trigger = engine.run_efficiently(graphs=[graph],
data=data,
key=rule['key'],
email='*****@*****.**')
# ---------------------- Expected Output
from pyrete.core.data_layer import DataLayer
mapper = DataLayer()
mapper.get_all_collections()
demo_dict = {
"subtotal_price":
"51.00",
"billing_address": {
"province": "North Carolina",
"city": "Franklinton"
},
"note_attributes": [{
"name": "address-type",
"value": "residential",
}, {
"name": "transit - time",
"value": "1",
}],
"token":
"384779c27a35e8fcc0c948ad87f0ac35"
}
mapper.get_collection_fields('orders')