mirror of
https://github.com/infinition/Bjorn.git
synced 2026-03-10 22:52:00 +00:00
eb20b168a6
- Implemented methods for fetching AI stats, training history, and recent experiences. - Added functionality to set operation mode (MANUAL, AUTO, AI) with appropriate handling. - Included helper methods for querying the database and sending JSON responses. - Integrated model metadata extraction for visualization purposes.
618 lines
24 KiB
Python
618 lines
24 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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berserker_force.py -- Service resilience / stress testing (Pi Zero friendly, orchestrator compatible).
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What it does:
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- Phase 1 (Baseline): Measures TCP connect response times per port (3 samples each).
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- Phase 2 (Stress Test): Runs a rate-limited load test using TCP connect, optional SYN probes
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(scapy), HTTP probes (urllib), or mixed mode.
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- Phase 3 (Post-stress): Re-measures baseline to detect degradation.
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- Phase 4 (Analysis): Computes per-port degradation percentages, writes a JSON report.
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This is NOT a DoS tool. It sends measured, rate-limited probes and records how the
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target's response times change under light load. Max 50 req/s to stay RPi-safe.
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Output is saved to data/output/stress/<ip>_<timestamp>.json
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"""
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import json
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import logging
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import os
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import random
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import socket
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import ssl
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import statistics
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import time
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import threading
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from datetime import datetime, timezone
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from typing import Any, Dict, List, Optional, Tuple
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from urllib.request import Request, urlopen
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from urllib.error import URLError
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from logger import Logger
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from actions.bruteforce_common import ProgressTracker
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logger = Logger(name="berserker_force.py", level=logging.DEBUG)
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# -------------------- Scapy (optional) ----------------------------------------
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_HAS_SCAPY = False
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try:
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from scapy.all import IP, TCP, sr1, conf as scapy_conf # type: ignore
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_HAS_SCAPY = True
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except ImportError:
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logger.info("scapy not available -- SYN probe mode will fall back to TCP connect")
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# -------------------- Action metadata (AST-friendly) --------------------------
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b_class = "BerserkerForce"
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b_module = "berserker_force"
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b_status = "berserker_force"
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b_port = None
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b_parent = None
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b_service = '[]'
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b_trigger = "on_port_change"
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b_action = "aggressive"
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b_requires = '{"action":"NetworkScanner","status":"success","scope":"global"}'
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b_priority = 15
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b_cooldown = 7200
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b_rate_limit = "2/86400"
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b_timeout = 300
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b_max_retries = 1
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b_stealth_level = 1
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b_risk_level = "high"
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b_enabled = 1
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b_category = "stress"
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b_name = "Berserker Force"
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b_description = (
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"Service resilience and stress-testing action. Measures baseline response "
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"times, applies controlled TCP/SYN/HTTP load, then re-measures to quantify "
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"degradation. Rate-limited to 50 req/s max (RPi-safe). No actual DoS -- "
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"just measured probing with structured JSON reporting."
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)
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b_author = "Bjorn Community"
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b_version = "2.0.0"
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b_icon = "BerserkerForce.png"
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b_tags = ["stress", "availability", "resilience"]
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b_args = {
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"mode": {
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"type": "select",
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"label": "Probe mode",
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"choices": ["tcp", "syn", "http", "mixed"],
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"default": "tcp",
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"help": "tcp = connect probe, syn = SYN via scapy (needs root), "
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"http = urllib GET for web ports, mixed = random pick per probe.",
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},
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"duration": {
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"type": "slider",
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"label": "Stress duration (s)",
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"min": 10,
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"max": 120,
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"step": 5,
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"default": 30,
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"help": "How long the stress phase runs in seconds.",
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},
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"rate": {
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"type": "slider",
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"label": "Probes per second",
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"min": 1,
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"max": 50,
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"step": 1,
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"default": 20,
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"help": "Max probes per second (clamped to 50 for RPi safety).",
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},
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}
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b_examples = [
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{"mode": "tcp", "duration": 30, "rate": 20},
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{"mode": "mixed", "duration": 60, "rate": 40},
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{"mode": "syn", "duration": 20, "rate": 10},
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]
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b_docs_url = "docs/actions/BerserkerForce.md"
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# -------------------- Constants -----------------------------------------------
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_DATA_DIR = "/home/bjorn/Bjorn/data"
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OUTPUT_DIR = os.path.join(_DATA_DIR, "output", "stress")
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_BASELINE_SAMPLES = 3 # TCP connect samples per port for baseline
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_CONNECT_TIMEOUT_S = 2.0 # socket connect timeout
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_HTTP_TIMEOUT_S = 3.0 # urllib timeout
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_MAX_RATE = 50 # hard ceiling probes/s (RPi guard)
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_WEB_PORTS = {80, 443, 8080, 8443, 8000, 8888, 9443, 3000, 5000}
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# -------------------- Helpers -------------------------------------------------
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def _tcp_connect_time(ip: str, port: int, timeout_s: float = _CONNECT_TIMEOUT_S) -> Optional[float]:
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"""Return round-trip TCP connect time in seconds, or None on failure."""
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sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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sock.settimeout(timeout_s)
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try:
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t0 = time.monotonic()
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err = sock.connect_ex((ip, int(port)))
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elapsed = time.monotonic() - t0
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return elapsed if err == 0 else None
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except Exception:
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return None
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finally:
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try:
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sock.close()
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except Exception:
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pass
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def _syn_probe_time(ip: str, port: int, timeout_s: float = _CONNECT_TIMEOUT_S) -> Optional[float]:
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"""Send a SYN via scapy and measure SYN-ACK time. Falls back to TCP connect."""
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if not _HAS_SCAPY:
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return _tcp_connect_time(ip, port, timeout_s)
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try:
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pkt = IP(dst=ip) / TCP(dport=int(port), flags="S", seq=random.randint(0, 0xFFFFFFFF))
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t0 = time.monotonic()
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resp = sr1(pkt, timeout=timeout_s, verbose=0)
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elapsed = time.monotonic() - t0
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if resp and resp.haslayer(TCP):
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flags = resp[TCP].flags
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# SYN-ACK (0x12) or RST (0x14) both count as "responded"
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if flags in (0x12, 0x14, "SA", "RA"):
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# Send RST to be polite
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try:
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from scapy.all import send as scapy_send # type: ignore
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rst = IP(dst=ip) / TCP(dport=int(port), flags="R", seq=resp[TCP].ack)
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scapy_send(rst, verbose=0)
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except Exception:
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pass
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return elapsed
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return None
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except Exception:
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return _tcp_connect_time(ip, port, timeout_s)
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def _http_probe_time(ip: str, port: int, timeout_s: float = _HTTP_TIMEOUT_S) -> Optional[float]:
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"""Send an HTTP HEAD/GET and measure response time via urllib."""
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scheme = "https" if int(port) in {443, 8443, 9443} else "http"
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url = f"{scheme}://{ip}:{port}/"
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ctx = None
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if scheme == "https":
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ctx = ssl.create_default_context()
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ctx.check_hostname = False
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ctx.verify_mode = ssl.CERT_NONE
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try:
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req = Request(url, method="HEAD", headers={"User-Agent": "BjornStress/2.0"})
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t0 = time.monotonic()
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resp = urlopen(req, timeout=timeout_s, context=ctx) if ctx else urlopen(req, timeout=timeout_s)
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elapsed = time.monotonic() - t0
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resp.close()
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return elapsed
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except Exception:
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# Fallback: even a refused connection or error page counts
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try:
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req2 = Request(url, method="GET", headers={"User-Agent": "BjornStress/2.0"})
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t0 = time.monotonic()
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resp2 = urlopen(req2, timeout=timeout_s, context=ctx) if ctx else urlopen(req2, timeout=timeout_s)
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elapsed = time.monotonic() - t0
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resp2.close()
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return elapsed
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except URLError:
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return None
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except Exception:
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return None
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def _pick_probe_func(mode: str, port: int):
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"""Return the probe function appropriate for the requested mode + port."""
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if mode == "tcp":
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return _tcp_connect_time
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elif mode == "syn":
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return _syn_probe_time
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elif mode == "http":
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if int(port) in _WEB_PORTS:
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return _http_probe_time
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return _tcp_connect_time # non-web port falls back
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elif mode == "mixed":
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candidates = [_tcp_connect_time]
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if _HAS_SCAPY:
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candidates.append(_syn_probe_time)
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if int(port) in _WEB_PORTS:
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candidates.append(_http_probe_time)
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return random.choice(candidates)
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return _tcp_connect_time
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def _safe_mean(values: List[float]) -> float:
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return statistics.mean(values) if values else 0.0
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def _safe_stdev(values: List[float]) -> float:
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return statistics.stdev(values) if len(values) >= 2 else 0.0
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def _degradation_pct(baseline_mean: float, post_mean: float) -> float:
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"""Percentage increase from baseline to post-stress. Positive = slower."""
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if baseline_mean <= 0:
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return 0.0
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return round(((post_mean - baseline_mean) / baseline_mean) * 100.0, 2)
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# -------------------- Main class ----------------------------------------------
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class BerserkerForce:
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"""Service resilience tester -- orchestrator-compatible Bjorn action."""
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def __init__(self, shared_data):
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self.shared_data = shared_data
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# ------------------------------------------------------------------ #
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# Phase helpers #
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# ------------------------------------------------------------------ #
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def _resolve_ports(self, ip: str, port, row: Dict) -> List[int]:
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"""Gather target ports from the port argument, row data, or DB hosts table."""
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ports: List[int] = []
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# 1) Explicit port argument
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try:
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p = int(port) if str(port).strip() else None
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if p:
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ports.append(p)
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except Exception:
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pass
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# 2) Row data (Ports column, semicolon-separated)
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if not ports:
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ports_txt = str(row.get("Ports") or row.get("ports") or "")
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for tok in ports_txt.replace(",", ";").split(";"):
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tok = tok.strip().split("/")[0] # handle "80/tcp"
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if tok.isdigit():
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ports.append(int(tok))
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# 3) DB lookup via MAC
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if not ports:
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mac = (row.get("MAC Address") or row.get("mac_address") or row.get("mac") or "").strip()
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if mac:
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try:
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rows = self.shared_data.db.query(
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"SELECT ports FROM hosts WHERE mac_address=? LIMIT 1", (mac,)
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)
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if rows and rows[0].get("ports"):
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for tok in rows[0]["ports"].replace(",", ";").split(";"):
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tok = tok.strip().split("/")[0]
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if tok.isdigit():
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ports.append(int(tok))
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except Exception as exc:
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logger.debug(f"DB port lookup failed: {exc}")
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# De-duplicate, cap at 20 ports (Pi Zero guard)
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seen = set()
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unique: List[int] = []
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for p in ports:
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if p not in seen:
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seen.add(p)
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unique.append(p)
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return unique[:20]
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def _measure_baseline(self, ip: str, ports: List[int], samples: int = _BASELINE_SAMPLES) -> Dict[int, List[float]]:
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"""Phase 1 / 3: TCP connect baseline measurement (always TCP for consistency)."""
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baselines: Dict[int, List[float]] = {}
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for p in ports:
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times: List[float] = []
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for _ in range(samples):
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if self.shared_data.orchestrator_should_exit:
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break
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rt = _tcp_connect_time(ip, p)
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if rt is not None:
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times.append(rt)
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time.sleep(0.05) # gentle spacing
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baselines[p] = times
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return baselines
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def _run_stress(
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self,
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ip: str,
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ports: List[int],
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mode: str,
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duration_s: int,
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rate: int,
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progress: ProgressTracker,
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stress_progress_start: int,
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stress_progress_span: int,
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) -> Dict[int, Dict[str, Any]]:
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"""Phase 2: Controlled stress test with rate limiting."""
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rate = max(1, min(rate, _MAX_RATE))
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interval = 1.0 / rate
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deadline = time.monotonic() + duration_s
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# Per-port accumulators
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results: Dict[int, Dict[str, Any]] = {}
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for p in ports:
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results[p] = {"sent": 0, "success": 0, "fail": 0, "times": []}
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total_probes_est = rate * duration_s
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probes_done = 0
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port_idx = 0
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while time.monotonic() < deadline:
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if self.shared_data.orchestrator_should_exit:
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break
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p = ports[port_idx % len(ports)]
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port_idx += 1
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probe_fn = _pick_probe_func(mode, p)
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rt = probe_fn(ip, p)
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results[p]["sent"] += 1
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if rt is not None:
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results[p]["success"] += 1
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results[p]["times"].append(rt)
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else:
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results[p]["fail"] += 1
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probes_done += 1
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# Update progress (map probes_done onto the stress progress range)
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if total_probes_est > 0:
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frac = min(1.0, probes_done / total_probes_est)
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pct = stress_progress_start + int(frac * stress_progress_span)
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self.shared_data.bjorn_progress = f"{min(pct, stress_progress_start + stress_progress_span)}%"
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# Rate limit
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time.sleep(interval)
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return results
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def _analyze(
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self,
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pre_baseline: Dict[int, List[float]],
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post_baseline: Dict[int, List[float]],
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stress_results: Dict[int, Dict[str, Any]],
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ports: List[int],
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) -> Dict[str, Any]:
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"""Phase 4: Build the analysis report dict."""
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per_port: List[Dict[str, Any]] = []
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for p in ports:
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pre = pre_baseline.get(p, [])
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post = post_baseline.get(p, [])
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sr = stress_results.get(p, {"sent": 0, "success": 0, "fail": 0, "times": []})
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pre_mean = _safe_mean(pre)
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post_mean = _safe_mean(post)
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degradation = _degradation_pct(pre_mean, post_mean)
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per_port.append({
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"port": p,
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"pre_baseline": {
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"samples": len(pre),
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"mean_s": round(pre_mean, 6),
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"stdev_s": round(_safe_stdev(pre), 6),
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"values_s": [round(v, 6) for v in pre],
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},
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"stress": {
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"probes_sent": sr["sent"],
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"probes_ok": sr["success"],
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"probes_fail": sr["fail"],
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"mean_rt_s": round(_safe_mean(sr["times"]), 6),
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"stdev_rt_s": round(_safe_stdev(sr["times"]), 6),
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"min_rt_s": round(min(sr["times"]), 6) if sr["times"] else None,
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"max_rt_s": round(max(sr["times"]), 6) if sr["times"] else None,
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},
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"post_baseline": {
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"samples": len(post),
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"mean_s": round(post_mean, 6),
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"stdev_s": round(_safe_stdev(post), 6),
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"values_s": [round(v, 6) for v in post],
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},
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"degradation_pct": degradation,
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})
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# Overall summary
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total_sent = sum(sr.get("sent", 0) for sr in stress_results.values())
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total_ok = sum(sr.get("success", 0) for sr in stress_results.values())
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total_fail = sum(sr.get("fail", 0) for sr in stress_results.values())
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avg_degradation = (
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round(statistics.mean([pp["degradation_pct"] for pp in per_port]), 2)
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if per_port else 0.0
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)
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return {
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"summary": {
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"ports_tested": len(ports),
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"total_probes_sent": total_sent,
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"total_probes_ok": total_ok,
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"total_probes_fail": total_fail,
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"avg_degradation_pct": avg_degradation,
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},
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"per_port": per_port,
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}
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def _save_report(self, ip: str, mode: str, duration_s: int, rate: int, analysis: Dict) -> str:
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"""Write the JSON report and return the file path."""
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try:
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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except Exception as exc:
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logger.warning(f"Could not create output dir {OUTPUT_DIR}: {exc}")
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ts = datetime.now(timezone.utc).strftime("%Y-%m-%d_%H-%M-%S")
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safe_ip = ip.replace(":", "_").replace(".", "_")
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filename = f"{safe_ip}_{ts}.json"
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filepath = os.path.join(OUTPUT_DIR, filename)
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report = {
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"tool": "berserker_force",
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"version": b_version,
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"timestamp": datetime.now(timezone.utc).isoformat().replace("+00:00", "Z"),
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"target": ip,
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"config": {
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"mode": mode,
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"duration_s": duration_s,
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"rate_per_s": rate,
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"scapy_available": _HAS_SCAPY,
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},
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"analysis": analysis,
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}
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try:
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with open(filepath, "w") as fh:
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json.dump(report, fh, indent=2, default=str)
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logger.info(f"Report saved to {filepath}")
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except Exception as exc:
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logger.error(f"Failed to write report {filepath}: {exc}")
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return filepath
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# ------------------------------------------------------------------ #
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# Orchestrator entry point #
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# ------------------------------------------------------------------ #
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def execute(self, ip: str, port, row: Dict, status_key: str) -> str:
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"""
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Main entry point called by the Bjorn orchestrator.
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Returns 'success', 'failed', or 'interrupted'.
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"""
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if self.shared_data.orchestrator_should_exit:
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return "interrupted"
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# --- Identity cache from row -----------------------------------------
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mac = (row.get("MAC Address") or row.get("mac_address") or row.get("mac") or "").strip()
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hostname = (row.get("Hostname") or row.get("hostname") or "").strip()
|
|
if ";" in hostname:
|
|
hostname = hostname.split(";", 1)[0].strip()
|
|
|
|
# --- Resolve target ports --------------------------------------------
|
|
ports = self._resolve_ports(ip, port, row)
|
|
if not ports:
|
|
logger.warning(f"BerserkerForce: no ports resolved for {ip}")
|
|
return "failed"
|
|
|
|
# --- Read runtime config from shared_data ----------------------------
|
|
mode = str(getattr(self.shared_data, "berserker_mode", "tcp") or "tcp").lower()
|
|
if mode not in ("tcp", "syn", "http", "mixed"):
|
|
mode = "tcp"
|
|
duration_s = max(10, min(int(getattr(self.shared_data, "berserker_duration", 30) or 30), 120))
|
|
rate = max(1, min(int(getattr(self.shared_data, "berserker_rate", 20) or 20), _MAX_RATE))
|
|
|
|
# --- EPD / UI updates ------------------------------------------------
|
|
self.shared_data.bjorn_orch_status = "berserker_force"
|
|
self.shared_data.bjorn_status_text2 = f"{ip} ({len(ports)} ports)"
|
|
self.shared_data.comment_params = {"ip": ip, "ports": str(len(ports)), "mode": mode}
|
|
|
|
# Total units for progress: baseline(15) + stress(70) + post-baseline(10) + analysis(5)
|
|
self.shared_data.bjorn_progress = "0%"
|
|
|
|
try:
|
|
# ============================================================== #
|
|
# Phase 1: Pre-stress baseline (0 - 15%) #
|
|
# ============================================================== #
|
|
logger.info(f"Phase 1/4: pre-stress baseline for {ip} on {len(ports)} ports")
|
|
self.shared_data.comment_params = {"ip": ip, "phase": "baseline"}
|
|
self.shared_data.log_milestone(b_class, "BaselineStart", f"Measuring {len(ports)} ports")
|
|
|
|
pre_baseline = self._measure_baseline(ip, ports)
|
|
if self.shared_data.orchestrator_should_exit:
|
|
return "interrupted"
|
|
|
|
self.shared_data.bjorn_progress = "15%"
|
|
|
|
# ============================================================== #
|
|
# Phase 2: Stress test (15 - 85%) #
|
|
# ============================================================== #
|
|
logger.info(f"Phase 2/4: stress test ({mode}, {duration_s}s, {rate} req/s)")
|
|
self.shared_data.comment_params = {
|
|
"ip": ip,
|
|
"phase": "stress",
|
|
"mode": mode,
|
|
"rate": str(rate),
|
|
}
|
|
self.shared_data.log_milestone(b_class, "StressActive", f"Mode: {mode} | Duration: {duration_s}s")
|
|
|
|
# Build a dummy ProgressTracker just for internal bookkeeping;
|
|
# we do fine-grained progress updates ourselves.
|
|
progress = ProgressTracker(self.shared_data, 100)
|
|
|
|
stress_results = self._run_stress(
|
|
ip=ip,
|
|
ports=ports,
|
|
mode=mode,
|
|
duration_s=duration_s,
|
|
rate=rate,
|
|
progress=progress,
|
|
stress_progress_start=15,
|
|
stress_progress_span=70,
|
|
)
|
|
|
|
if self.shared_data.orchestrator_should_exit:
|
|
return "interrupted"
|
|
|
|
self.shared_data.bjorn_progress = "85%"
|
|
|
|
# ============================================================== #
|
|
# Phase 3: Post-stress baseline (85 - 95%) #
|
|
# ============================================================== #
|
|
logger.info(f"Phase 3/4: post-stress baseline for {ip}")
|
|
self.shared_data.comment_params = {"ip": ip, "phase": "post-baseline"}
|
|
self.shared_data.log_milestone(b_class, "RecoveryMeasure", f"Checking {ip} after stress")
|
|
|
|
post_baseline = self._measure_baseline(ip, ports)
|
|
if self.shared_data.orchestrator_should_exit:
|
|
return "interrupted"
|
|
|
|
self.shared_data.bjorn_progress = "95%"
|
|
|
|
# ============================================================== #
|
|
# Phase 4: Analysis & report (95 - 100%) #
|
|
# ============================================================== #
|
|
logger.info("Phase 4/4: analyzing results")
|
|
self.shared_data.comment_params = {"ip": ip, "phase": "analysis"}
|
|
|
|
analysis = self._analyze(pre_baseline, post_baseline, stress_results, ports)
|
|
report_path = self._save_report(ip, mode, duration_s, rate, analysis)
|
|
|
|
self.shared_data.bjorn_progress = "100%"
|
|
|
|
# Final UI update
|
|
avg_deg = analysis.get("summary", {}).get("avg_degradation_pct", 0.0)
|
|
self.shared_data.log_milestone(b_class, "Complete", f"Avg Degradation: {avg_deg}% | Report: {os.path.basename(report_path)}")
|
|
return "success"
|
|
|
|
except Exception as exc:
|
|
logger.error(f"BerserkerForce failed for {ip}: {exc}", exc_info=True)
|
|
return "failed"
|
|
|
|
finally:
|
|
self.shared_data.bjorn_progress = ""
|
|
self.shared_data.comment_params = {}
|
|
self.shared_data.bjorn_status_text2 = ""
|
|
|
|
|
|
# -------------------- Optional CLI (debug / manual) ---------------------------
|
|
if __name__ == "__main__":
|
|
import argparse
|
|
from shared import SharedData
|
|
|
|
parser = argparse.ArgumentParser(description="BerserkerForce (service resilience tester)")
|
|
parser.add_argument("--ip", required=True, help="Target IP address")
|
|
parser.add_argument("--port", default="", help="Specific port (optional; uses row/DB otherwise)")
|
|
parser.add_argument("--mode", default="tcp", choices=["tcp", "syn", "http", "mixed"])
|
|
parser.add_argument("--duration", type=int, default=30, help="Stress duration in seconds")
|
|
parser.add_argument("--rate", type=int, default=20, help="Probes per second (max 50)")
|
|
args = parser.parse_args()
|
|
|
|
sd = SharedData()
|
|
# Push CLI args into shared_data so the action reads them
|
|
sd.berserker_mode = args.mode
|
|
sd.berserker_duration = args.duration
|
|
sd.berserker_rate = args.rate
|
|
|
|
act = BerserkerForce(sd)
|
|
|
|
row = {
|
|
"MAC Address": getattr(sd, "get_raspberry_mac", lambda: "__GLOBAL__")() or "__GLOBAL__",
|
|
"Hostname": "",
|
|
"Ports": args.port,
|
|
}
|
|
|
|
result = act.execute(args.ip, args.port, row, "berserker_force")
|
|
print(f"Result: {result}")
|