DRAFT(next-exp): container-house pools + connectivity failsafe scaffolds

Defensive-measurement instrument scaffolds for the re-staged experiment, not
wired into the sealed pipeline:
- house_pool.py: distinct isolated container pools per house (own net + keys),
  deterministic seed-derived node ids; refuses engine=="local" (containment).
- watchdog.py: pre-registered HALT / PAUSE-RESUME failsafe for load-bearing
  node pools; deterministic, probe injected (no external target).

Both are DRAFT for a fresh pre-registration; neither touches the sealed battery.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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"""Track-B container-simulated house pools — DRAFT (next experiment only).
Purpose (see prereg NEXT-EXPERIMENT-DRAFT §1 Track B): replace the *logical phone
labels* used to stand in for house-B/house-C in the sealed battery with **genuinely
distinct container pools**. Each house becomes an isolated Docker network hosting its
own N node containers, each with its own X25519/Ed25519 identity — giving real,
auditable node-distinctness on a single laptop, with **no phone dependency**.
Containment (load-bearing, identical to the sealed instrument):
* Every node runs inside an **isolated engine** — this module refuses to place a node
unless ``engine != "local"``. No node ever runs on the bare host.
* Self-generated fixture traffic only; no external target; lab-only.
Integrity boundary: anything measured through these pools is a **new** measurement. It
may be reported as *exploratory*, or promoted to confirmatory only under a fresh frozen
pre-registration. It may NEVER be merged into the sealed original battery.
This module is a pool *model* + containment validator + deterministic identity
assignment. Actual container launch is injected by the caller (``executor.py``) via a
``launch_fn`` seam, so this file stays correct without duplicating engine plumbing.
"""
from __future__ import annotations
import hashlib
from dataclasses import dataclass, field
from typing import Callable, Dict, List, Optional
class ContainmentError(RuntimeError):
"""Raised when a placement would violate the isolated-engine law."""
@dataclass(frozen=True)
class SimNode:
"""One simulated relay node: an isolated container with its own identity."""
node_id: str # deterministic, seed-derived
house: str # owning house id (e.g. "house-B")
engine: str # MUST be an isolated engine (docker/multipass), never "local"
net: str # isolated docker network the node lives on
def __post_init__(self) -> None:
if self.engine == "local":
raise ContainmentError(
f"node {self.node_id}: engine=='local' is forbidden — "
"isolated engine only (containment law §1)"
)
@dataclass
class HousePool:
"""A house realised as a distinct, isolated container pool (Track B)."""
house: str
engine: str
net: str
size: int
nodes: List[SimNode] = field(default_factory=list)
def _derive_node_id(s0: int, house: str, idx: int) -> str:
"""Deterministic node id from the base seed — mirrors the sealed seed formula."""
h = hashlib.sha256(f"{s0}|{house}|{idx}".encode()).digest()
return h[:8].hex()
def plan_house(house: str, size: int, engine: str, s0: int) -> HousePool:
"""Plan a house pool of ``size`` distinct isolated nodes. Does not launch anything.
Raises ``ContainmentError`` if asked to plan on the local (non-isolated) engine.
"""
if engine == "local":
raise ContainmentError(
f"{house}: refuse to plan a pool on the local engine — isolated only"
)
net = f"sor-{house}-net"
pool = HousePool(house=house, engine=engine, net=net, size=size)
for i in range(size):
pool.nodes.append(
SimNode(node_id=_derive_node_id(s0, house, i), house=house, engine=engine, net=net)
)
return pool
def plan_federation(
house_sizes: Dict[str, int], engine: str, s0: int
) -> Dict[str, HousePool]:
"""Plan several distinct house pools that will be federated.
Each house gets its **own** isolated network + identities, so cross-house
split-knowledge is a real property of the topology, not a label.
"""
return {h: plan_house(h, n, engine, s0) for h, n in house_sizes.items()}
def assert_distinct(pools: Dict[str, HousePool]) -> None:
"""Fail loudly unless every node id is globally unique and every net is per-house."""
seen: set[str] = set()
nets: set[str] = set()
for pool in pools.values():
if pool.net in nets:
raise ContainmentError(f"network {pool.net} reused across houses")
nets.add(pool.net)
for n in pool.nodes:
if n.node_id in seen:
raise ContainmentError(f"duplicate node id {n.node_id}")
seen.add(n.node_id)
def realise(
pools: Dict[str, HousePool],
launch_fn: Callable[[SimNode], str],
) -> Dict[str, List[str]]:
"""Launch every planned node via the injected ``launch_fn`` (executor seam).
``launch_fn`` must actually start the node inside its isolated engine/network and
return a container handle. This function only enforces the containment invariant and
the distinctness check before delegating; it never shells out to docker itself.
"""
assert_distinct(pools)
handles: Dict[str, List[str]] = {}
for house, pool in pools.items():
handles[house] = []
for node in pool.nodes:
if node.engine == "local": # belt-and-braces
raise ContainmentError(f"{node.node_id}: local engine at launch")
handles[house].append(launch_fn(node))
return handles
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"""Connectivity failsafe for load-bearing node pools — DRAFT (next experiment only).
Purpose (see prereg NEXT-EXPERIMENT-DRAFT §2): when node pools are *load-bearing* for
the measured data (Track B/D), a run-control watchdog periodically probes every required
pool and, on an outage, fires a **pre-registered** policy — chosen in advance and echoed
into the manifest, never decided after seeing data.
Policies:
* HALT (default, integrity-first): abort the run, mark the cell ``inconclusive`` (a
pre-committed outcome, so there is no optional-stopping bias), seal what exists.
* PAUSE_RESUME (only when determinism is provable): freeze the churn clock + seed
stream, wait (bounded) for the pool to return, then resume from the exact frozen
state. Legitimate only because the seed formula makes the resumed sequence
bit-identical.
Why this did NOT apply to the sealed study: there, the phones were non-forwarding, so no
measured data depended on connectivity. Here the pools ARE in the data path, so the
watchdog protects real integrity.
Self-contained + deterministic: the reachability probe is injected (no external target,
no sockets opened here). This is run-control logic, not a network client.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum
from typing import Callable, List, Optional
class Policy(str, Enum):
HALT = "halt"
PAUSE_RESUME = "pause_resume"
class Outcome(str, Enum):
OK = "ok" # all required pools reachable at every check
INCONCLUSIVE = "inconclusive" # HALT fired (or PAUSE timed out → escalated)
RESUMED = "resumed" # PAUSE fired and the pool returned in time
@dataclass
class FrozenState:
"""The exact run state a PAUSE freezes so RESUME is bit-identical."""
churn_tick: int
seed_cursor: int
cell_id: str
@dataclass
class WatchdogReport:
policy: Policy
outcome: Outcome
checks: int = 0
outages: List[int] = field(default_factory=list) # ticks at which a pool was down
paused_ticks: int = 0
note: str = ""
@dataclass
class Watchdog:
"""Pre-registered connectivity failsafe.
``probe`` returns True iff every REQUIRED pool is reachable. It is injected so this
module opens nothing and reaches no target. ``pause_budget`` bounds how long a
PAUSE_RESUME will wait (in ticks) before escalating to HALT.
"""
policy: Policy
probe: Callable[[], bool]
pause_budget: int = 30
def check(self, state: FrozenState, report: WatchdogReport) -> Outcome:
"""Run one watchdog check at the current frozen state. Deterministic."""
report.checks += 1
if self.probe():
return Outcome.OK
report.outages.append(state.churn_tick)
if self.policy is Policy.HALT:
report.outcome = Outcome.INCONCLUSIVE
report.note = (
f"required pool unreachable at tick {state.churn_tick}; "
"HALT policy → cell inconclusive (pre-committed outcome)"
)
return Outcome.INCONCLUSIVE
# PAUSE_RESUME: clock + seed cursor are frozen in `state`; wait, bounded.
waited = 0
while waited < self.pause_budget:
waited += 1
report.paused_ticks += 1
if self.probe():
report.outcome = Outcome.RESUMED
report.note = (
f"paused {waited} tick(s) at churn_tick={state.churn_tick}, "
f"seed_cursor={state.seed_cursor}; resumed bit-identically"
)
return Outcome.RESUMED
report.outcome = Outcome.INCONCLUSIVE
report.note = (
f"PAUSE budget {self.pause_budget} exhausted at tick {state.churn_tick} "
"→ escalated to HALT (inconclusive)"
)
return Outcome.INCONCLUSIVE
def manifest_record(self) -> dict:
"""What to echo into manifest.json so the policy is provably pre-committed."""
return {"connectivity_failsafe": {"policy": self.policy.value,
"pause_budget_ticks": self.pause_budget}}