mirror of
https://github.com/logos-co/nomos-simulations.git
synced 2025-02-12 18:46:43 +00:00
113 lines
3.5 KiB
Python
Executable File
113 lines
3.5 KiB
Python
Executable File
# !/usr/bin/env python
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import argparse
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import json
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import statistics
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from collections.abc import Iterable
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from typing import Dict, Optional
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import mixlog
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class Message:
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def __init__(self, message_id: str, step_a: Optional[int]):
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self.id = message_id
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self.step_a = int(step_a) if step_a is not None else None
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self.step_b = None
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def __hash__(self):
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return self.id
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def __repr__(self):
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return f"[{self.id}] {self.step_a} -> {self.step_b}"
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@property
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def latency(self) -> Optional[int]:
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if self.step_a is not None and self.step_b is not None:
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return abs(self.step_a - self.step_b)
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MessageStorage = Dict[str, Message]
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def compute_results(message_storage: MessageStorage, step_duration: int) -> str:
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latencies = [message_record.latency for message_record in message_storage.values()]
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valued_latencies = [latency for latency in latencies if latency is not None]
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incomplete_latencies = sum((1 for latency in latencies if latency is None))
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total_messages = len(latencies)
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total_messages_full_latency = len(valued_latencies)
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total_messages_incomplete_latency = incomplete_latencies
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latency_average_steps = statistics.mean(valued_latencies)
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latency_average_ms = "{:.2f}ms".format(latency_average_steps * step_duration)
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latency_median_steps = statistics.median(valued_latencies)
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latency_median_ms = "{:.2f}ms".format(latency_median_steps * step_duration)
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max_latency_steps = max(valued_latencies)
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max_latency_ms = "{:.2f}ms".format(max_latency_steps * step_duration)
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min_latency_steps = min(valued_latencies)
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min_latency_ms = "{:.2f}ms".format(min_latency_steps * step_duration)
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return f"""[Results]
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- Total messages: {total_messages}
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- Full latencies: {total_messages_full_latency}
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- Incomplete latencies: {total_messages_incomplete_latency}
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- Averages
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- Steps: {latency_average_steps}
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- Duration: {latency_average_ms}
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- Median
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- Steps: {latency_median_steps}
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- Duration: {latency_median_ms}
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- Max
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- Steps: {max_latency_steps}
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- Duration: {max_latency_ms}
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- Min
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- Steps: {min_latency_steps}
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- Duration: {min_latency_ms}"""
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def parse_record_stream(record_stream: Iterable[str]) -> MessageStorage:
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storage: MessageStorage = {}
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for record in record_stream:
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try:
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json_record = json.loads(record)
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except json.decoder.JSONDecodeError:
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continue
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if (payload_id := json_record.get("payload_id")) is None:
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continue
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step_id = json_record["step_id"]
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if (stored_message := storage.get(payload_id)) is None:
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storage[payload_id] = Message(payload_id, step_id)
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else:
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stored_message.step_b = step_id
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return storage
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def build_argument_parser() -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser(description="Log analysis for nomos-simulations.")
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parser.add_argument(
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"--step-duration",
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type=int,
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default=100,
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help="Duration (in ms) of each step in the simulation.",
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)
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parser.add_argument(
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"input_file",
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nargs="?",
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help="The file to parse. If not provided, input will be read from stdin.",
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)
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return parser
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if __name__ == "__main__":
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argument_parser = build_argument_parser()
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arguments = argument_parser.parse_args()
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input_stream = mixlog.get_input_stream(arguments.input_file)
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messages = parse_record_stream(input_stream)
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results = compute_results(messages, arguments.step_duration)
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print(results)
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