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
# PROCESSING VARIABLES...
# PROCESSING RULES...
# before checking file size
# here
# ....................................
# For ObjectNode: persons
# Items Processed: 4
'webhook_details': {},
'params': [{
'name': 'points',
'value': '1000__as_str'
}]
}]
}
graph = ReteGraph()
graph.load_rule(rule)
# ---------------------- Fetch data from DB
data = DataLayer().get_data(rules=[rule], filter={}, limit=10)
data['webhook'] = {
'_id': 'Webhook_data',
'email': '*****@*****.**',
'total_price': '57.00',
'taxes': '12.50',
'note_attributes': [1, 2, 3]
}
# ---------------------- Rule variables
print('\n\nPROCESSING VARIABLES...')
VariableProcessor().eval_variables(data=data, variable_objs=rule['variables'])
# ---------------------- Initiate rule engine
print('\n\nPROCESSING RULES...')
engine = RuleEngine()
trigger = engine.run_efficiently(graphs=[graph], data=[webhook_data])