State freshness now comes from a tiered PollScheduler over the persistent DTLS session; OBSERVE registrations are kept as an opportunistic acceleration layer. Behaviour is identical online vs air-gapped except for worst-case freshness latency. Adds three modules: - StateCache: single source of truth, source-tagged change events - PollScheduler: hot/warm/cold + sweep tiers, write-defer past the fetchback-revert window, per-window RTT/slow-poll tracking - KeepaliveTask: CoAP empty-CON ping with consecutive-fail detection driving MQTT availability Bridge publishes per-appliance diagnostic entities (Push Active, Last Update Source, Poll Max RTT, Slow Polls, Poll Errors, Stalest Resource Age, Last OBSERVE Age) under HA's Diagnostic section. Tier cadences are descriptor-declared, calibrated against measured per-firmware ceilings (dryer ~14 req/s, oven ~8 req/s via probe_poll_rate_combined.py). Drops HEARTBEAT_INTERVAL_S in favour of the descriptor-declared sweep tier; PING_INTERVAL_S now consumed by KeepaliveTask inside the bridge rather than driven from main.py. README explains the push/poll split and what happens when the appliance is blocked from internet.
226 lines
9.3 KiB
Python
226 lines
9.3 KiB
Python
"""ApplianceDescriptor — the per-device-class abstraction.
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The bridge is appliance-class-agnostic: it owns the DTLS session, the
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OBSERVE-token bookkeeping, and MQTT publish gating. Each appliance
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class (dryer, oven, …) provides a descriptor that supplies:
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* observe_paths — which CoAP resources to OBSERVE
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* seed_path — the resource to fetch on connect (usually
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/device/0) to populate the link dict
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* flatten(links) — links → flat-dict that lands on MQTT
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* build_discovery(…) — list of (HA-discovery topic, payload)
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* command_handlers() — MQTT command-suffix → (path_segs, body_dict)
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Optional hooks let an appliance hold transient state across pushes:
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* on_observation(state, href, rep) — capture anchors, e.g. for
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time extrapolation
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* project(state, sensors) — fill in extrapolated fields
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on publish
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state is a free-form dict the bridge owns and threads into both hooks.
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"""
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from __future__ import annotations
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import json
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from dataclasses import dataclass, field
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from typing import Callable, Optional, TYPE_CHECKING
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if TYPE_CHECKING:
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from ..poll_scheduler import PollTier
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@dataclass
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class ApplianceDescriptor:
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"""Static description of a Samsung appliance class.
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`name` is the value DEVICE_CLASS resolves to (e.g. 'dryer').
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`default_observe_port` documents the UDP port this firmware
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exposes its DTLS-CoAP endpoint on, for the .env templates and
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docs — config.APPLIANCE_OCF_PORT still wins at runtime."""
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name: str
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default_observe_port: int
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observe_paths: list[list[str]]
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seed_path: list[str]
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flatten: Callable[[dict], dict]
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build_discovery: Callable[[str, str, str], list[tuple[str, bytes]]]
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# command_handlers() returns {topic_suffix: fn(payload_str, links_snapshot)}
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# where the fn returns (path_segs, body_dict) | None. Handlers receive
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# a snapshot of the bridge's link dict so they can do read-modify-write
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# on resources like `/mode/vs/0` options or `/temperatures/vs/0` items.
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command_handlers: Callable[[], dict[str, Callable[[str, dict], Optional[tuple]]]]
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# Optional behavioural hooks. state is a mutable dict the bridge
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# threads in; the descriptor decides what keys to put in it.
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on_observation: Optional[Callable[[dict, str, dict], None]] = None
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project: Optional[Callable[[dict, dict], dict]] = None
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# If set, the bridge maintains a second availability topic
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# `<prefix>/remote_available` derived from sensors[remote_field].
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# HA entities that the appliance only honours with Remote-Control
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# enabled gate themselves on it.
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remote_available_field: Optional[str] = None
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# If set, the bridge maintains a third availability topic
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# `<prefix>/cycle_active` derived from sensors[cycle_active_field]
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# (boolean). HA entities that the appliance only accepts writes for
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# while a cycle is running (e.g. oven setpoint, cook time, options
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# toggles) gate themselves on it.
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cycle_active_field: Optional[str] = None
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# Optional log-line callback for state-change notifications. Gets
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# the freshly-projected sensors dict; returns a short string.
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log_state_change: Optional[Callable[[dict], str]] = None
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# Tiered polling cadence. Hot tier resources are the user-visible
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# state that needs sub-second freshness; warm/cold/sweep cover the
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# rest. Empirically measured per-device ceilings in
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# local-tools/probe_poll_rate_combined.py (dryer ~14 req/s, oven
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# ~8 req/s) inform the defaults each descriptor sets.
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poll_tiers: list['PollTier'] = field(default_factory=list)
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# Predicate the PollScheduler calls each tick to decide whether to
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# use a tier's active_interval_s. Gets a shallow snapshot of the
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# link dict so it can read whichever resource indicates activity.
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is_active: Optional[Callable[[dict], bool]] = None
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# --- HA-discovery helpers ----------------------------------------------
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# Pure builder fns used by descriptor build_discovery() implementations.
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# Kept here so the per-appliance modules stay focused on their entity
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# inventory.
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def device_block(topic_prefix: str, device_name: str,
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model: str) -> dict:
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return {
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'identifiers': [topic_prefix],
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'name': device_name,
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'manufacturer': 'Samsung',
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'model': model,
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}
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def avail_base(avail_topic: str) -> list[dict]:
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return [{'topic': avail_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'}]
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def avail_with_remote(avail_topic: str,
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remote_topic: str) -> list[dict]:
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return [
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{'topic': avail_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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{'topic': remote_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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]
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def avail_with_cycle(avail_topic: str,
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cycle_topic: str) -> list[dict]:
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return [
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{'topic': avail_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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{'topic': cycle_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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]
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def avail_with_remote_and_cycle(avail_topic: str,
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remote_topic: str,
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cycle_topic: str) -> list[dict]:
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return [
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{'topic': avail_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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{'topic': remote_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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{'topic': cycle_topic,
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'payload_available': 'online',
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'payload_not_available': 'offline'},
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]
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def encode(cfg: dict) -> bytes:
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return json.dumps(cfg).encode()
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def bridge_diagnostic_discovery(topic_prefix: str,
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ha_discovery_prefix: str,
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device_name: str,
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model: str = 'Bridge') -> list[tuple[str, bytes]]:
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"""HA-discovery payloads for the per-bridge diagnostic entities
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(push state, polling RTT, freshness). Returned as a list of
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(topic, payload-bytes) tuples to be merged with the descriptor's
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own build_discovery output."""
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avail_topic = f"{topic_prefix}/availability"
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health_topic = f"{topic_prefix}/bridge/health"
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push_topic = f"{topic_prefix}/bridge/push_active"
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device = device_block(topic_prefix, device_name, model)
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avail = avail_base(avail_topic)
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def sensor(slug: str, name: str, value_template: str,
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unit: str | None = None, device_class: str | None = None,
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icon: str | None = None) -> tuple[str, bytes]:
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cfg = {
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'name': name,
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'unique_id': f"{topic_prefix}_bridge_{slug}",
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'object_id': f"{topic_prefix}_bridge_{slug}",
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'state_topic': health_topic,
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'value_template': value_template,
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'availability': avail,
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'device': device,
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'entity_category': 'diagnostic',
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}
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if unit is not None: cfg['unit_of_measurement'] = unit
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if device_class is not None: cfg['device_class'] = device_class
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if icon is not None: cfg['icon'] = icon
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topic = (f"{ha_discovery_prefix}/sensor/"
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f"{topic_prefix}/bridge_{slug}/config")
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return topic, encode(cfg)
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push_active_cfg = {
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'name': 'Push Active',
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'unique_id': f"{topic_prefix}_bridge_push_active",
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'object_id': f"{topic_prefix}_bridge_push_active",
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'state_topic': push_topic,
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'payload_on': 'online',
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'payload_off': 'offline',
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'availability': avail,
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'device': device,
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'entity_category': 'diagnostic',
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'icon': 'mdi:rss',
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}
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push_active_topic = (f"{ha_discovery_prefix}/binary_sensor/"
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f"{topic_prefix}/bridge_push_active/config")
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return [
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(push_active_topic, encode(push_active_cfg)),
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sensor('update_source', 'Last Update Source',
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"{{ value_json.last_change_source | default('?') }}",
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icon='mdi:transit-connection-variant'),
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sensor('stalest_age_s', 'Stalest Resource Age',
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"{{ value_json.stalest_age_s | default(0) }}",
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unit='s', icon='mdi:clock-alert-outline'),
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sensor('poll_max_rtt_ms', 'Poll Max RTT',
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"{{ value_json.poll_window_max_rtt_ms | default(0) | int }}",
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unit='ms', icon='mdi:speedometer'),
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sensor('slow_polls', 'Slow Polls (window)',
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"{{ value_json.poll_window_slow_count | default(0) }}",
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icon='mdi:timer-sand'),
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sensor('poll_errors', 'Poll Errors (window)',
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"{{ value_json.poll_window_errors | default(0) }}",
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icon='mdi:alert-circle-outline'),
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sensor('observe_age_s', 'Last OBSERVE Age',
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"{{ value_json.last_observe_age_s if value_json.last_observe_age_s is not none else 'never' }}",
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icon='mdi:radar'),
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]
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