104 lines
3.6 KiB
Python
104 lines
3.6 KiB
Python
import os
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import time
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import requests
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SIDECAR_URL = os.getenv("SIDECAR_URL", "http://sidecar:80")
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DB_URL = os.getenv("DB_CONTROLLER_URL", "http://sidecar:8081")
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TABLE = "host_session"
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UPTIME, CPU, RAM, DISK = 63, 21, 22, 23
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MINUTE_MS = 60000
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HOUR_MS = 60 * MINUTE_MS
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LOOKBACK_MS = 60 * 24 * HOUR_MS
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MATCH_MS = 2 * MINUTE_MS
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def read_history(signals, start_ms, end_ms, resolution):
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names = ",".join(str(signal) for signal in signals)
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path = f"/api/history/?signals={names}&start={int(start_ms)}&end={int(end_ms)}&resolution={resolution}"
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response = requests.get(SIDECAR_URL + path, timeout=(5, 80))
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response.raise_for_status()
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return {item["signalId"]: item for item in response.json()["data"]["series"]}
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def samples(series):
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start, step = series["startMs"], series["stepMs"]
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return [(start + i * step, value) for i, value in enumerate(series["values"]) if value is not None]
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def last_samples(signal, start_ms, end_ms, resolution):
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if end_ms <= start_ms:
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return []
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found = samples(read_history([signal], start_ms, end_ms, resolution)[signal])
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return [(t, v) for t, v in found if t < end_ms]
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def current_boot_ms():
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with open("/proc/uptime") as file:
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uptime_s = float(file.read().split()[0])
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return int(time.time() * 1000 - uptime_s * 1000)
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def previous_session(boot_ms):
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hours = last_samples(UPTIME, boot_ms - LOOKBACK_MS, boot_ms, "1hr")
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if not hours:
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return None
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minutes = last_samples(UPTIME, hours[-1][0], min(hours[-1][0] + HOUR_MS, boot_ms), "1min")
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if not minutes:
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return None
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seconds = last_samples(UPTIME, minutes[-1][0], min(minutes[-1][0] + MINUTE_MS, boot_ms), "1s")
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end_ms, uptime_s = (seconds or minutes)[-1]
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return int(end_ms - uptime_s * 1000), int(end_ms)
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def db_call(method, path, payload):
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response = requests.request(method, DB_URL + path, json=payload, timeout=(5, 30))
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response.raise_for_status()
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body = response.json()
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if body.get("statusCode", 200) != 200:
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raise RuntimeError(f"db-controller {body.get('statusCode')}: {body.get('errorMessage')}")
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return body.get("data")
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def already_stored(start_ms):
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rows = db_call("POST", f"/api/db-query/{TABLE}/", {"filters": [], "orderBy": ["start_time"], "limit": 1000}) or []
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return any(abs(row["start_time"] - start_ms) < MATCH_MS for row in rows)
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def mean_max(series, start_ms, end_ms):
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values = [v for t, v in samples(series) if start_ms <= t < end_ms]
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if not values:
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return None, None
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return sum(values) / len(values), max(values)
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def coverage(series, start_ms, end_ms):
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total = max(1, (end_ms - start_ms) // MINUTE_MS)
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present = sum(1 for t, _ in samples(series) if start_ms <= t < end_ms)
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return min(1.0, present / total)
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def build_row(start_ms, end_ms):
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history = read_history([CPU, RAM, DISK], start_ms, end_ms, "1min")
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row = {"start_time": start_ms, "end_time": end_ms, "duration_s": (end_ms - start_ms) // 1000}
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for prefix, signal in (("cpu", CPU), ("ram", RAM), ("disk", DISK)):
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row[f"{prefix}_mean"], row[f"{prefix}_max"] = mean_max(history[signal], start_ms, end_ms)
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row["coverage"] = coverage(history[CPU], start_ms, end_ms)
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return row
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def main():
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session = previous_session(current_boot_ms())
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if session is None:
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print("no previous session in the uptime history", flush=True)
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return
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if already_stored(session[0]):
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print("previous session already stored", session[0], flush=True)
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return
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row = build_row(*session)
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print("stored", db_call("POST", f"/api/db/{TABLE}/", row), row, flush=True)
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if __name__ == "__main__":
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main()
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