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2026-09-15 02:50
__init__.py
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agent.py
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agent_exceptions.py
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agent_util.py
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aggregator.py
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anomaly.py
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blacklister.py
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container_discovery.py
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display.py
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forticlient_helper.py
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inspector.py
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ipc_client.py
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pickle_database.py
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plugin_driver.py
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process_manager.py
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progress_printer.py
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result_queue.py
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schedule.py
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threshold.py
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class ResultQueue(object): """If the aggregator can't be reached for some reason, we want to still keep calculating results and store them locally until we can reach the agg again.""" # Variables for ResultQueue # QUEUE_MAX_RESULTS = 150000 # We put results in a queue if aggregator can't be reached. # QUEUE_BATCH_SIZE = 10000 # How many queue results we send back to the aggregator at once def __init__(self, queue_max_results=None, queue_batch_size=None): self.data = [] self.queue_max_results = queue_max_results if self.queue_max_results is None: self.queue_max_results = 150000 self.queue_batch_size = queue_batch_size if self.queue_batch_size is None: self.queue_batch_size = 10000 def pop(self): # remove the oldest results first self.data.pop(0) # Pop only the most recent result def pop_latest(self): self.data.pop() def pop_results(self, chunk=None): if chunk is None: chunk = self.queue_batch_size # Pop and return 'chunk' of the newest items if len(self.data) <= chunk: result = self.data self.data = [] else: x = len(self.data) - chunk result = self.data[x:] self.data = self.data[:x] return result def push(self, result): if len(self.data) == self.queue_max_results: self.pop() self.data.append(result) def update(self, results): if len(results) + len(self.data) <= self.queue_max_results: self.data.extend(results) else: # Make room so we stay under QUEUE_MAX_RESULTS free_space = self.queue_max_results - len(self.data) removal = len(results) - free_space self.data = self.data[removal:] self.data.extend(results) def isEmpty(self): return len(self.data) == 0 def queueLength(self): return len(self.data)