Jean-Pierre MartineauandClaude Fable 5
f69d1785b7
Every repaint re-rasterized every row and re-ran every layout; every screen open re-scanned the whole history. Now work is done once per change instead of once per frame: Render pipeline — a content-keyed ANSI cache in render_to_ansi (every Text/str row app-wide), memoized corner glow, and panel-wrap memos for the base frame and stacked dialogs, all dropped on a platform switch or emoji recalibration. Idle-frame compose falls 5-100x per screen (contacts 5.6->0.1 ms, record card 8.5->0.07 ms, trace 7.6->0.6 ms). Repository — an observed_at index turns every since-window query into a range walk (recent_observations 7.5->1 ms); heard_nodes and first_seen aggregate in one streaming pass by ISO-string comparison instead of hydrating dataclasses and sorting; node_names groups in SQL (NOT INDEXED past a slow planner choice). Per packet — livefeed no longer repaints on events that drew nothing, the channel list's stats TTL rises above the tick so the repository is not queried per frame, watch-store alerts batch through the throttled flush instead of a full-state disk write per new node, and the header's 360-bucket histogram/flags tuples are memoized per minute and packet. Per open — the resolvers, topology canonical()/display_name(), and Yen's route search memoize over their frozen inputs; timemachine, chat, and livefeed drop duplicate queries; the config editor, device actions, info, advert, and tx-optimize reuse the devstate session cache instead of re-asking the radio. Per frame, per screen — dashboard folds five window scans into one digest; walk caches everything derived from its frozen graph (the onward-count quadratic included); packet viewer, record dialog, trophy rows, trace stats/log, and the node-detail route fan memoize on their frozen inputs, invalidated by revision counters where the input can move. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
499 lines
19 KiB
Python
499 lines
19 KiB
Python
"""Declarative registry of every settable device configuration value.
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Each :class:`SettingSpec` describes one tunable setting: how to read its current value
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from a device snapshot, how to parse/validate/format it, and how to apply it back to the
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:class:`~meshterm.core.connection.Device`. The same registry drives the interactive
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editor, the ``config`` CLI subcommands, and TOML backup/restore — add a setting once and
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it appears everywhere, mirroring the tool registry pattern.
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Settings whose protocol command takes several fields at once (radio, coordinates, tuning,
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telemetry modes) rebuild the full command from the current snapshot plus the one changed
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field, so a single setting can be edited in isolation.
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"""
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from __future__ import annotations
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from collections.abc import Awaitable, Callable
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from dataclasses import dataclass
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from typing import Any, Optional
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from .connection import Device
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# Display categories, in the order the editor and `config show` present them.
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CATEGORIES = ("Identity", "Radio", "Tuning", "Behavior", "Experimental")
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class DeviceConfigError(ValueError):
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"""Raised when a value cannot be parsed or fails validation.
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The message is user-facing (printed directly by the CLI and editor).
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"""
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@dataclass(slots=True)
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class SettingSpec:
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"""Specification for one settable configuration value.
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Attributes:
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key: Canonical key (matches the ``SELF_INFO`` field name where one exists).
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label: Human-friendly name for display.
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help: One-line description.
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category: One of :data:`CATEGORIES`.
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value_type: ``"str" | "int" | "float" | "bool" | "enum"``.
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choices: For ``enum``, a mapping of allowed int value to label.
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minimum: Inclusive lower bound for numeric types, if any.
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maximum: Inclusive upper bound for numeric types, if any.
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strict_choices: When ``True`` (the default) an ``enum`` value must be one of
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:attr:`choices`. When ``False`` the choices are offered as a convenience menu
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but any in-range integer is still accepted — used for firmware fields whose
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full value domain we don't enumerate exhaustively.
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max_key: Snapshot key holding this setting's *device-reported* inclusive maximum
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(e.g. ``max_tx_power`` bounding ``tx_power``). Checked by :func:`parse_value`
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when it is given a snapshot, tightening the static :attr:`maximum` to what
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the connected hardware actually supports.
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max_length: For ``str`` values, the longest accepted string (protocol field
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widths, e.g. the flood scope's 31-byte name slot).
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getter: Extracts the current value from a snapshot dict.
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apply: Coroutine applying a parsed value to a device, given the snapshot.
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"""
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key: str
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label: str
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help: str
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category: str
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value_type: str
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getter: Callable[[dict], Any]
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apply: Callable[[Device, Any, dict], Awaitable[None]]
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choices: Optional[dict[int, str]] = None
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minimum: Optional[float] = None
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maximum: Optional[float] = None
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strict_choices: bool = True
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max_key: Optional[str] = None
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max_length: Optional[int] = None
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# --- value parsing / formatting ----------------------------------------------
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_TRUE = {"1", "true", "yes", "on", "y"}
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_FALSE = {"0", "false", "no", "off", "n"}
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def parse_value(spec: SettingSpec, raw: Any, snapshot: Optional[dict] = None) -> Any:
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"""Parse and validate a raw value (typically a CLI/TOML string) for ``spec``.
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Args:
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spec: The target setting.
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raw: The raw value to coerce (string or already-typed scalar).
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snapshot: Optional device snapshot; when given and the spec names a
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:attr:`~SettingSpec.max_key`, the device-reported maximum found there
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tightens the static bound (e.g. TX power capped at this board's max).
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Returns:
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The typed, range-checked value ready for :meth:`SettingSpec.apply`.
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Raises:
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DeviceConfigError: If the value is the wrong type or out of range.
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"""
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text = str(raw).strip()
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if spec.value_type == "str":
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if spec.max_length is not None and len(text) > spec.max_length:
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raise DeviceConfigError(
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f"{spec.key}: must be at most {spec.max_length} characters, "
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f"got {len(text)}"
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)
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return text
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if spec.value_type == "bool":
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low = text.lower()
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if low in _TRUE:
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return True
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if low in _FALSE:
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return False
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raise DeviceConfigError(f"{spec.key}: expected a boolean, got {raw!r}")
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# Numeric (int / enum / float): wrap only the conversion, so a DeviceConfigError
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# raised by the range/enum checks below is not caught and rewrapped here.
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try:
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if spec.value_type == "float":
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value: Any = float(text)
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else: # int or enum
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value = int(text, 0) if isinstance(raw, str) else int(raw)
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except (ValueError, TypeError) as exc:
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raise DeviceConfigError(f"{spec.key}: invalid {spec.value_type} value {raw!r}") from exc
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if (
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spec.value_type == "enum"
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and spec.strict_choices
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and spec.choices is not None
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and value not in spec.choices
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):
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allowed = ", ".join(str(k) for k in spec.choices)
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raise DeviceConfigError(f"{spec.key}: must be one of {allowed}, got {value}")
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if spec.minimum is not None and value < spec.minimum:
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raise DeviceConfigError(f"{spec.key}: must be >= {spec.minimum}, got {value}")
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maximum = effective_maximum(spec, snapshot)
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if maximum is not None and value > maximum:
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raise DeviceConfigError(f"{spec.key}: must be <= {maximum:g}, got {value}")
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return value
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def effective_maximum(spec: SettingSpec, snapshot: Optional[dict]) -> Optional[float]:
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"""The inclusive maximum for ``spec``: the device-reported one when known, else static.
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Args:
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spec: The setting.
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snapshot: The device snapshot the reported maximum is read from (may be ``None``).
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Returns:
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The tighter of the spec's static bound and the snapshot's ``max_key`` value, or
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``None`` when neither exists.
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"""
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maximum = spec.maximum
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if snapshot is not None and spec.max_key is not None:
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reported = snapshot.get(spec.max_key)
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if reported is not None:
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try:
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reported_f = float(reported)
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except (TypeError, ValueError):
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return maximum
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maximum = reported_f if maximum is None else min(maximum, reported_f)
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return maximum
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def format_value(spec: SettingSpec, value: Any) -> str:
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"""Render a value for display.
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Args:
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spec: The setting the value belongs to.
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value: The current value (may be ``None`` if unknown).
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Returns:
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A human-readable string.
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"""
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if value is None:
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return "?"
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if spec.value_type == "str" and value == "":
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return "(not set)"
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if spec.value_type == "bool":
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return "true" if value else "false"
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if spec.value_type == "enum" and spec.choices is not None and value in spec.choices:
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return f"{value} ({spec.choices[value]})"
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return str(value)
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# --- snapshot ----------------------------------------------------------------
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async def build_snapshot(
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device: Device,
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*,
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self_info: Optional[dict] = None,
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path_hash_mode: Optional[int] = None,
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) -> dict:
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"""Read a device's full current configuration into one dict.
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Merges ``SELF_INFO`` with the separately-read tuning parameters and path-hash mode.
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Optional reads that a given firmware does not support are skipped silently so the rest
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of the snapshot still renders.
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Args:
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device: A connected device.
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self_info: An already-read ``SELF_INFO`` dict to reuse instead of asking the
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radio again — a menu caller passes the devstate session cache here, saving
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a round-trip on every screen open. Omit to read live (a refresh after a
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restore or reset must not trust any cache).
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path_hash_mode: An already-read path-hash mode to reuse, on the same terms.
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Returns:
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A dict keyed like ``SELF_INFO`` plus ``rx_delay``, ``airtime_factor``,
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``path_hash_mode``, ``autoadd_config`` and ``flood_scope``.
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"""
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snapshot = dict(self_info if self_info is not None else await device.get_self_info())
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try:
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snapshot.update(await device.get_tuning())
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except Exception: # noqa: BLE001 - optional read; absence is acceptable
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pass
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if path_hash_mode is not None:
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snapshot["path_hash_mode"] = path_hash_mode
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else:
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try:
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snapshot["path_hash_mode"] = await device.get_path_hash_mode()
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except Exception: # noqa: BLE001 - optional read; absence is acceptable
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pass
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try:
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snapshot["autoadd_config"] = await device.get_autoadd_config()
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except Exception: # noqa: BLE001 - optional read; absence is acceptable
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pass
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try:
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snapshot["flood_scope"] = await device.get_default_flood_scope()
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except Exception: # noqa: BLE001 - optional read; absence is acceptable
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pass
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return snapshot
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# --- coupled-command apply helpers -------------------------------------------
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def _radio_apply(field_name: str) -> Callable[[Device, Any, dict], Awaitable[None]]:
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"""Build an apply that updates one radio field, preserving the others."""
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async def apply(device: Device, value: Any, snapshot: dict) -> None:
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params = {
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"freq": snapshot.get("radio_freq"),
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"bw": snapshot.get("radio_bw"),
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"sf": snapshot.get("radio_sf"),
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"cr": snapshot.get("radio_cr"),
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}
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params[field_name] = value
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await device.set_radio(params["freq"], params["bw"], params["sf"], params["cr"])
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return apply
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def _coords_apply(field_name: str) -> Callable[[Device, Any, dict], Awaitable[None]]:
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"""Build an apply that updates one coordinate, preserving the other."""
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async def apply(device: Device, value: Any, snapshot: dict) -> None:
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lat = value if field_name == "adv_lat" else snapshot.get("adv_lat", 0.0)
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lon = value if field_name == "adv_lon" else snapshot.get("adv_lon", 0.0)
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await device.set_coords(float(lat or 0.0), float(lon or 0.0))
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return apply
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def _tuning_apply(field_name: str) -> Callable[[Device, Any, dict], Awaitable[None]]:
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"""Build an apply that updates one tuning field, preserving the other."""
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async def apply(device: Device, value: Any, snapshot: dict) -> None:
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rx = value if field_name == "rx_delay" else snapshot.get("rx_delay", 0.0)
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af = value if field_name == "airtime_factor" else snapshot.get("airtime_factor", 0.0)
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await device.set_tuning(float(rx or 0.0), float(af or 0.0))
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return apply
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def _telemetry_apply(field_name: str) -> Callable[[Device, Any, dict], Awaitable[None]]:
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"""Build an apply that updates one telemetry mode, preserving the others."""
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async def apply(device: Device, value: Any, snapshot: dict) -> None:
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base = value if field_name == "telemetry_mode_base" else snapshot.get("telemetry_mode_base", 0)
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loc = value if field_name == "telemetry_mode_loc" else snapshot.get("telemetry_mode_loc", 0)
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env = value if field_name == "telemetry_mode_env" else snapshot.get("telemetry_mode_env", 0)
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await device.set_telemetry_modes(int(base or 0), int(loc or 0), int(env or 0))
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return apply
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def _get(key: str) -> Callable[[dict], Any]:
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"""Build a getter that reads ``key`` from a snapshot."""
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return lambda snapshot: snapshot.get(key)
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_TELEMETRY_CHOICES = {0: "off", 1: "always", 2: "device-only", 3: "all"}
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# adv_loc_policy / multi_acks are single firmware bytes; we list the values seen in the
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# wild but keep them non-strict so an unfamiliar value is still accepted.
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_ADV_LOC_CHOICES = {0: "off", 1: "on"}
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_MULTI_ACKS_CHOICES = {0: "off", 1: "on"}
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# path_hash_mode is a 2-bit field; the hash size carried per hop is mode + 1 bytes.
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_PATH_HASH_CHOICES = {
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0: "1-byte hashes (default)",
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1: "2-byte hashes",
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2: "3-byte hashes",
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3: "4-byte hashes",
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}
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def _telemetry_spec(key: str, label: str) -> SettingSpec:
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"""Build a telemetry-mode setting spec (shared shape for base/loc/env)."""
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return SettingSpec(
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key=key, label=label, help="Telemetry reporting mode", category="Behavior",
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value_type="enum", choices=_TELEMETRY_CHOICES, minimum=0, maximum=3,
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getter=_get(key), apply=_telemetry_apply(key),
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)
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# --- radio presets -----------------------------------------------------------
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@dataclass(frozen=True, slots=True)
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class RadioPreset:
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"""A named, standard set of radio parameters applied as one unit.
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Attributes:
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name: Human-friendly preset name (region or trade-off).
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help: One-line description of when to use it.
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freq: Carrier frequency in MHz.
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bw: Channel bandwidth in kHz.
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sf: LoRa spreading factor.
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cr: LoRa coding-rate denominator (5-8 = 4/5-4/8).
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"""
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name: str
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help: str
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freq: float
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bw: float
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sf: int
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cr: int
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def as_settings(self) -> dict[str, Any]:
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"""Return this preset as a ``{setting_key: value}`` mapping for staging."""
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return {
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"radio_freq": self.freq,
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"radio_bw": self.bw,
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"radio_sf": self.sf,
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"radio_cr": self.cr,
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}
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# Standard MeshCore presets. The default modulation (250 kHz / SF11 / CR5) is shared
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# across regions; the region presets differ only in the default channel frequency. The
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# trade-off presets keep the EU frequency but trade airtime for range or speed.
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RADIO_PRESETS: list[RadioPreset] = [
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RadioPreset("EU / UK 868", "MeshCore default for the 868 MHz band", 869.525, 250.0, 11, 5),
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RadioPreset("US 915", "MeshCore default for the US 915 MHz band", 910.525, 250.0, 11, 5),
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RadioPreset("AU / NZ 915", "MeshCore default for the AU/NZ 915 MHz band", 915.525, 250.0, 11, 5),
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RadioPreset("Long range (slow)", "Narrow bandwidth + high SF: max range, low data rate", 869.525, 125.0, 12, 8),
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RadioPreset("Fast (short range)", "Wide bandwidth + low SF: short range, low airtime", 869.525, 500.0, 7, 5),
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]
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# --- the registry ------------------------------------------------------------
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DEVICE_SETTINGS: list[SettingSpec] = [
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# Identity
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SettingSpec(
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"name", "Node name", "Advertised node name", "Identity", "str",
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getter=_get("name"), apply=lambda d, v, s: d.set_name(v),
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),
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SettingSpec(
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"adv_lat", "Latitude", "Advertised latitude, degrees", "Identity",
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"float", minimum=-90.0, maximum=90.0,
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getter=_get("adv_lat"), apply=_coords_apply("adv_lat"),
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),
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SettingSpec(
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"adv_lon", "Longitude", "Advertised longitude, degrees", "Identity",
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"float", minimum=-180.0, maximum=180.0,
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getter=_get("adv_lon"), apply=_coords_apply("adv_lon"),
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),
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SettingSpec(
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"device_pin", "Device PIN", "BLE pairing PIN", "Identity", "int",
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minimum=0, maximum=999999,
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getter=_get("device_pin"), apply=lambda d, v, s: d.set_device_pin(v),
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),
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# Radio
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SettingSpec(
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"radio_freq", "Frequency (MHz)", "Carrier frequency in MHz", "Radio", "float",
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minimum=100.0, maximum=1000.0,
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getter=_get("radio_freq"), apply=_radio_apply("freq"),
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),
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SettingSpec(
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"radio_bw", "Bandwidth (kHz)", "Channel bandwidth in kHz", "Radio", "float",
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minimum=1.0, maximum=1000.0,
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getter=_get("radio_bw"), apply=_radio_apply("bw"),
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),
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SettingSpec(
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"radio_sf", "Spreading factor", "LoRa spreading factor", "Radio", "int",
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minimum=5, maximum=12,
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getter=_get("radio_sf"), apply=_radio_apply("sf"),
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),
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SettingSpec(
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"radio_cr", "Coding rate", "LoRa coding-rate denominator (4/5–4/8)",
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"Radio", "int", minimum=5, maximum=8,
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getter=_get("radio_cr"), apply=_radio_apply("cr"),
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),
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SettingSpec(
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"tx_power", "TX power (dBm)", "Transmit power, up to this board's reported max",
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"Radio", "int", minimum=1, maximum=30, max_key="max_tx_power",
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getter=_get("tx_power"), apply=lambda d, v, s: d.set_tx_power(v),
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),
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# Tuning. Both are firmware floats moved over the wire ×1000; the ranges are the
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# firmware's own constrain() bounds. (The repeater-side TX delay factors are *not*
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# here: companion firmware ignores them — they are remote-CLI settings on repeaters.)
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SettingSpec(
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"airtime_factor", "Airtime factor",
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"Airtime budget: duty cycle = 100 / (factor + 1) %, so 0 = unlimited", "Tuning",
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"float", minimum=0.0, maximum=9.0,
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getter=_get("airtime_factor"), apply=_tuning_apply("airtime_factor"),
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),
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SettingSpec(
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"rx_delay", "RX delay",
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"Base delay before handling received packets, seconds", "Tuning",
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"float", minimum=0.0, maximum=20.0,
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getter=_get("rx_delay"), apply=_tuning_apply("rx_delay"),
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),
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# Behavior
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SettingSpec(
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"manual_add_contacts", "Manual add contacts",
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"Require adding contacts manually", "Behavior", "bool",
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getter=_get("manual_add_contacts"),
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apply=lambda d, v, s: d.set_manual_add_contacts(v),
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),
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SettingSpec(
|
||
"autoadd_config", "Contact auto-add",
|
||
"Bitmask of advert types auto-added as contacts (0 = none)", "Behavior", "int",
|
||
minimum=0, maximum=255,
|
||
getter=_get("autoadd_config"), apply=lambda d, v, s: d.set_autoadd_config(v),
|
||
),
|
||
SettingSpec(
|
||
"flood_scope", "Flood scope",
|
||
"Limit flood routing to one #scope; empty reaches the whole mesh", "Behavior",
|
||
"str", max_length=30,
|
||
getter=_get("flood_scope"), apply=lambda d, v, s: d.set_default_flood_scope(v),
|
||
),
|
||
SettingSpec(
|
||
"adv_loc_policy", "Advert location policy",
|
||
"Share location in adverts", "Behavior", "enum",
|
||
choices=_ADV_LOC_CHOICES, minimum=0, strict_choices=False,
|
||
getter=_get("adv_loc_policy"), apply=lambda d, v, s: d.set_adv_loc_policy(v),
|
||
),
|
||
SettingSpec(
|
||
"multi_acks", "Multi-acks",
|
||
"Extra acknowledgements for reliability", "Behavior",
|
||
"enum", choices=_MULTI_ACKS_CHOICES, minimum=0, strict_choices=False,
|
||
getter=_get("multi_acks"), apply=lambda d, v, s: d.set_multi_acks(v),
|
||
),
|
||
_telemetry_spec("telemetry_mode_base", "Telemetry mode (base)"),
|
||
_telemetry_spec("telemetry_mode_loc", "Telemetry mode (location)"),
|
||
_telemetry_spec("telemetry_mode_env", "Telemetry mode (environment)"),
|
||
# Experimental
|
||
SettingSpec(
|
||
"path_hash_mode", "Path-hash mode",
|
||
"Per-hop path-hash size; larger resists collisions, adds overhead",
|
||
"Experimental", "enum", choices=_PATH_HASH_CHOICES, minimum=0, maximum=3,
|
||
getter=_get("path_hash_mode"), apply=lambda d, v, s: d.set_path_hash_mode(v),
|
||
),
|
||
]
|
||
|
||
_BY_KEY: dict[str, SettingSpec] = {s.key: s for s in DEVICE_SETTINGS}
|
||
|
||
|
||
def get_spec(key: str) -> SettingSpec:
|
||
"""Return the spec for ``key``.
|
||
|
||
Args:
|
||
key: A setting key.
|
||
|
||
Returns:
|
||
The matching :class:`SettingSpec`.
|
||
|
||
Raises:
|
||
DeviceConfigError: If no such setting exists.
|
||
"""
|
||
spec = _BY_KEY.get(key)
|
||
if spec is None:
|
||
known = ", ".join(sorted(_BY_KEY))
|
||
raise DeviceConfigError(f"unknown setting {key!r}. Known settings: {known}")
|
||
return spec
|
||
|
||
|
||
def settings_by_category() -> list[tuple[str, list[SettingSpec]]]:
|
||
"""Return settings grouped by category in display order.
|
||
|
||
Returns:
|
||
A list of ``(category, specs)`` pairs following :data:`CATEGORIES` order.
|
||
"""
|
||
return [
|
||
(cat, [s for s in DEVICE_SETTINGS if s.category == cat])
|
||
for cat in CATEGORIES
|
||
]
|