Your question is Ship Code to Production. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're a Software Engineer at Oxa, working on the fleet-monitoring service that ingests telemetry from self-driving vehicles undergoing trials. A teammate wrote the script below to pull telemetry for a batch of vehicles and persist it, and wants to merge it as-is before your next trial run.
import requests
DB_PASSWORD = "oxa_prod_2024!"
fleet_status = {}
def fetch_vehicle_telemetry(vehicle_id):
url = f"http://fleet-api.internal/vehicles/{vehicle_id}/telemetry"
response = requests.get(url)
return response.json()
def process_fleet(vehicle_ids):
for vid in vehicle_ids:
try:
data = fetch_vehicle_telemetry(vid)
fleet_status[vid] = data
except:
pass
return fleet_status
def save_to_db(status):
conn = connect(password=DB_PASSWORD)
for vid, data in status.items():
conn.execute(f"INSERT INTO telemetry VALUES ({vid}, '{data}')")
conn.commit()
if __name__ == "__main__":
ids = ["v101", "v102", "v103"]
result = process_fleet(ids)
save_to_db(result)
Describe the process you would go through to get this code safely into production. What would you flag before it ships, and what would the path to deploying it actually look like?