fips/testing/chaos/sim/assertions.py

"""Post-run scenario assertions evaluated via control-socket data.

Assertions are declared in the scenario YAML under ``assertions:`` and
are evaluated near the end of the simulation, before teardown begins.
Each failing assertion is recorded with a clear pass/fail message; the
runner exits non-zero when any assertion fails.

Currently supported assertions:

- ``bloom_send_rate``: per-node trailing-window ceiling on
  ``stats.bloom.sent`` delta. Calibrated for the bloom-storm
  regression scenario but generally usable.
"""

from __future__ import annotations

import logging
from dataclasses import dataclass

from .control import snapshot_all_bloom
from .scenario import BloomSendRateAssertion, MinParentSwitchesAssertion
from .topology import SimTopology

log = logging.getLogger(__name__)


@dataclass
class AssertionOutcome:
    name: str
    passed: bool
    detail: str


def _bloom_sent_total(node_data: dict) -> int | None:
    """Extract stats.bloom.sent from a show_bloom response."""
    stats = node_data.get("stats") or {}
    sent = stats.get("sent")
    if sent is None:
        return None
    try:
        return int(sent)
    except (TypeError, ValueError):
        return None


class BloomSendRateMonitor:
    """Samples per-node ``stats.bloom.sent`` to evaluate a trailing-window
    ceiling assertion at end-of-run.

    Usage:
        m = BloomSendRateMonitor(topology, cfg)
        m.sample_window_start()   # called window_secs before scenario end
        ...
        m.sample_end()            # called at scenario end
        outcome = m.evaluate()
    """

    def __init__(self, topology: SimTopology, cfg: BloomSendRateAssertion):
        self.topology = topology
        self.cfg = cfg
        self.window_start: dict[str, int] = {}
        self.window_end: dict[str, int] = {}

    def sample_window_start(self) -> None:
        snap = snapshot_all_bloom(self.topology)
        for nid, data in snap.items():
            v = _bloom_sent_total(data)
            if v is not None:
                self.window_start[nid] = v

    def sample_end(self) -> None:
        snap = snapshot_all_bloom(self.topology)
        for nid, data in snap.items():
            v = _bloom_sent_total(data)
            if v is not None:
                self.window_end[nid] = v

    def evaluate(self) -> AssertionOutcome:
        max_per_node = self.cfg.max_per_node
        window_secs = self.cfg.window_secs

        if not self.window_start or not self.window_end:
            return AssertionOutcome(
                name="bloom_send_rate",
                passed=False,
                detail=(
                    f"FAIL bloom_send_rate: failed to sample window endpoints "
                    f"(start={len(self.window_start)} nodes, "
                    f"end={len(self.window_end)} nodes)"
                ),
            )

        per_node_deltas: dict[str, int] = {}
        for nid, end_v in self.window_end.items():
            start_v = self.window_start.get(nid)
            if start_v is None:
                continue
            per_node_deltas[nid] = end_v - start_v

        offenders = {
            nid: d for nid, d in per_node_deltas.items() if d > max_per_node
        }
        max_obs = max(per_node_deltas.values()) if per_node_deltas else 0

        if offenders:
            sorted_off = sorted(offenders.items(), key=lambda kv: -kv[1])
            details = ", ".join(f"{nid}={d}" for nid, d in sorted_off)
            detail = (
                f"FAIL bloom_send_rate: {len(offenders)} node(s) exceeded "
                f"ceiling of {max_per_node} bloom_sent over trailing "
                f"{window_secs}s — offenders: {details} "
                f"(all per-node deltas: "
                f"{', '.join(f'{n}={v}' for n, v in sorted(per_node_deltas.items()))})"
            )
            return AssertionOutcome(
                name="bloom_send_rate",
                passed=False,
                detail=detail,
            )

        detail = (
            f"PASS bloom_send_rate: max per-node delta {max_obs} <= "
            f"ceiling {max_per_node} over trailing {window_secs}s "
            f"(per-node: "
            f"{', '.join(f'{n}={v}' for n, v in sorted(per_node_deltas.items()))})"
        )
        return AssertionOutcome(
            name="bloom_send_rate",
            passed=True,
            detail=detail,
        )


def evaluate_min_parent_switches(
    cfg: MinParentSwitchesAssertion,
    parent_switch_count: int,
) -> AssertionOutcome:
    """Sanity guard: fail the scenario if the harness-induced flap did
    not produce at least ``cfg.min_total`` parent switches across the
    run. Detects misconfiguration (e.g., wrong root election) where
    the bloom-rate assertion would otherwise trivially pass on any
    binary including the regressed one.
    """
    if parent_switch_count >= cfg.min_total:
        return AssertionOutcome(
            name="min_parent_switches",
            passed=True,
            detail=(
                f"PASS min_parent_switches: {parent_switch_count} switches "
                f">= floor {cfg.min_total}"
            ),
        )
    return AssertionOutcome(
        name="min_parent_switches",
        passed=False,
        detail=(
            f"FAIL min_parent_switches: {parent_switch_count} switches "
            f"< floor {cfg.min_total} — harness did not induce sufficient "
            f"parent flapping; bloom-rate assertion would be trivially "
            f"true. Check tree-snapshot-warmup.json: did the expected "
            f"node win the root election?"
        ),
    )