#!/usr/bin/env python3
"""Pull recent Falco alerts from netdata and write them as a Dashy
custom-list JSON file, so the homelab dashboard shows a live feed of
security events without needing Falcosidekick/Redis/a new UI.

Run periodically via cron (see repo README/crontab entry). Reads from
netdata's existing alert-transitions API - the same data already driving
the Telegram pipeline - so this adds zero new attack surface or
dependencies.
"""
import json
import time
import urllib.request

NETDATA_URL = "http://192.168.1.67:19999"
OUTPUT_PATH = "/srv/dashy/json-data/falco-alerts.json"
LOOKBACK_SECONDS = 7 * 86400  # 7 days
MAX_ENTRIES = 20


def fetch_transitions():
    now = int(time.time())
    after = now - LOOKBACK_SECONDS
    url = (
        f"{NETDATA_URL}/api/v2/alert_transitions"
        f"?after={after}&before={now}&last=500"
    )
    with urllib.request.urlopen(url, timeout=10) as resp:
        return json.load(resp).get("transitions", [])


def to_dashy_entry(t):
    rule_name = t["summary"].removeprefix("Falco rule fired - ")
    status = t["new"]["status"]
    return {
        "link": {
            "text": "View",
            "url": f"{NETDATA_URL}/",
            "title": f"{status}: {rule_name}",
        },
        "value": {
            "text": f"{status} - {rule_name}",
            "title": "Falco",
        },
        "date": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime(t["when"])),
    }


def main():
    transitions = fetch_transitions()
    raised = [
        t
        for t in transitions
        if t.get("alert") == "falco_rule_match"
        and t.get("new", {}).get("status") in ("WARNING", "CRITICAL")
    ]
    raised.sort(key=lambda t: t["when"], reverse=True)
    entries = [to_dashy_entry(t) for t in raised[:MAX_ENTRIES]]

    with open(OUTPUT_PATH, "w") as f:
        json.dump(entries, f, indent=2)


if __name__ == "__main__":
    main()