import time
import hashlib
def guard_api_payload(payload, monitoring_key, monitoring_interval=5):
"""
Guards API payload execution for monitoring purposes.
Args:
payload (dict): The API payload to be executed.
monitoring_key (str): A unique key for monitoring the payload.
monitoring_interval (int): The interval (in seconds) for monitoring.
Returns:
bool: True if the payload is executed, False otherwise. Returns False if monitoring fails.
"""
try:
# Generate a hash of the payload for monitoring
payload_hash = hashlib.sha256(str(payload).encode('utf-8')).hexdigest()
# Check if the payload has been monitored recently
timestamp = time.time()
# Retrieve the last monitored payload hash and timestamp (simulated storage)
last_monitored_hash = get_last_monitored_hash(monitoring_key)
last_monitored_timestamp = get_last_monitored_timestamp(monitoring_key)
# Check if the payload is new or if it's older than the monitoring interval
if payload_hash != last_monitored_hash or (timestamp - last_monitored_timestamp) > monitoring_interval:
# Payload is new or hasn't been monitored recently
log_payload(payload, monitoring_key) # Log the payload for monitoring
execute_api_payload(payload) # Execute the API payload
# Update the last monitored hash and timestamp
update_last_monitored(monitoring_key, payload_hash, timestamp)
return True # Execution successful
else:
# Payload has been monitored recently, prevent execution
log_ignored_payload(payload, monitoring_key) # Log that the payload was ignored
return False # Execution blocked
except Exception as e:
log_error(f"Error during payload guarding: {e}")
return False # Indicate failure
def get_last_monitored_hash(key):
"""Simulates retrieving the last monitored hash from a storage."""
# Replace with your actual storage mechanism (e.g., database, file)
try:
with open("payload_monitoring_data.txt", "r") as f:
lines = f.readlines()
if lines:
return lines[0].strip()
else:
return None
except FileNotFoundError:
return None
def get_last_monitored_timestamp(key):
"""Simulates retrieving the last monitored timestamp from a storage."""
# Replace with your actual storage mechanism
try:
with open("payload_monitoring_data.txt", "r") as f:
lines = f.readlines()
if lines:
return lines[1].strip()
else:
return 0
except FileNotFoundError:
return 0
def update_last_monitored(key, hash_value, timestamp):
"""Simulates updating the last monitored hash and timestamp in storage."""
# Replace with your actual storage mechanism
with open("payload_monitoring_data.txt", "w") as f:
f.write(hash_value + "\n")
f.write(str(timestamp) + "\n")
def log_payload(payload, key):
"""Logs the payload for monitoring purposes."""
print(f"Monitoring Key: {key}, Payload: {payload}")
def log_ignored_payload(payload, key):
"""Logs the ignored payload for monitoring purposes."""
print(f"Monitoring Key: {key}, Payload: {payload} - Ignored (already monitored)")
def log_error(message):
"""Logs error messages."""
print(f"Error: {message}")
def execute_api_payload(payload):
"""Simulates executing the API payload."""
print(f"Executing API payload: {payload}")
if __name__ == '__main__':
# Example Usage
monitoring_key = "my_api_key"
# First execution - payload is monitored
payload1 = {"data": "some data"}
guard_api_payload(payload1, monitoring_key)
# Second execution - payload is blocked
payload2 = {"data": "different data"}
guard_api_payload(payload2, monitoring_key
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