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f953d1e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | import requests
import json
import time
URL = "http://localhost:7860"
def test_temporal():
# 1. Reset
res = requests.post(f"{URL}/reset", json={"difficulty": 1})
obs = res.json().get("observation")
last_hour = obs.get("time_of_day")
print(f"Initial Hour: {last_hour}")
correlated_failures = 0
high_velocity_count = 0
for i in range(100):
# Action doesn't matter much for this test
res = requests.post(f"{URL}/step", json={"action": {"gateway": 0, "fraud_decision": 0, "retry_strategy": 0}})
data = res.json()
obs = data.get("observation")
hour = obs.get("time_of_day")
states = obs.get("gateway_states")
# Check hour progression
if hour != last_hour:
print(f"Hour advanced to {hour}")
last_hour = hour
# Check correlation (Systemic Outage)
down_count = sum(1 for s in states if s != "normal")
if down_count >= 2:
correlated_failures += 1
print(f"Step {i}: Cluster failure detected! States: {states}")
# Velocity might be high during fraud spikes
# Actually transaction_velocity is in observation? Let's check model.py
# No, it's not in observation yet. Let's check models.py
print(f"Correlated failures detected: {correlated_failures}")
if __name__ == "__main__":
try:
test_temporal()
except Exception as e:
print(f"Failed to connect to server: {e}. Make sure it is running.")
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