Computing metrics

Let's see how you can compute metrics. You can compute these metrics post disaster. Click here to learn more about disaster modeling in ERAD.

Computing energy resilience score

Use this snippet to compute energy resilience score.

from erad.metrics import metric
from erad.db import neo4j_

neo4j_instance = neo4j_.Neo4J(
                neo4j_url='bolt://localhost:7687',
                neo4j_username='neo4j', 
                neo4j_password='neo4j')

metric.energy_resilience_by_customer(
    neo4j_instance.driver, "./energy_resilience.csv",
    critical_infras=["Grocery", "Hospital","Convenience", "Shelter", "Banking"] 
    )

Checking if customer is connected to grid

from erad.metrics import metric
from erad.db import neo4j_

neo4j_instance = neo4j_.Neo4J(
                neo4j_url='bolt://localhost:7687',
                neo4j_username='neo4j', 
                neo4j_password='neo4j')

metric.is_customer_getting_power(
        neo4j_instance.driver, "./is_customer_connected.csv")