"""The ``monitor`` tool: a bounded foreground capture of what the mesh is saying. Passive monitoring records every advert and telemetry frame the companion overhears โ€” with SNR, RSSI, and any shared location โ€” to the database, building the longitudinal history that the map's packet counts and the nodes list read back. It transmits nothing; it only listens. Recording is always on: the session-wide :class:`~meshterm.services.event_hub.EventHub` overhears every packet, and :class:`~meshterm.services.monitor_service.MonitorService` (``ctx.monitor``) writes them to history as one of its subscribers, from the moment the radio opens. In the menu the live packet counters show in the persistent header and the accumulated data surfaces through Nodes and Map, so there is no separate screen here โ€” this tool is CLI-only: ``meshterm monitor --seconds 60`` tails each overheard packet to the console and summarizes the window when it ends. """ from __future__ import annotations import asyncio from typing import Any import typer from rich.table import Table from rich.text import Text from ..context import AppContext from ..core.events import EventKind, MeshEvent from ..core.models import HeardNode, Observation from .base import Tool, ToolResult, register @register class MonitorTool(Tool): """Capture overheard packets in the foreground for a bounded window (CLI only).""" name = "monitor" title = "Monitor" icon = "๐ŸŽง" help = "Capture overheard packets live for a while and summarize them" category = "Watch" order = 50 menu_visible = False # recording is always on; in the menu the header/Nodes/Map show it async def execute(self, ctx: AppContext, params: dict[str, Any]) -> ToolResult: """Run directly, without a logged ``runs`` row. The capture's observations are recorded under the monitor service's own ``monitor`` run, so wrapping this invocation in a second run row (as the base :meth:`Tool.execute` would) would double-log the session. Args: ctx: Shared application context. params: Parameters for this invocation. Returns: The :class:`ToolResult` from :meth:`run`. """ return await self.run(ctx, params) async def run(self, ctx: AppContext, params: dict[str, Any]) -> ToolResult: """Record overheard packets in the foreground for a bounded window. Connects the device, ensures history recording and the event hub are running, and tails each overheard packet to the console until the window ends (or the user interrupts). Observations are persisted by the monitor service exactly as in an interactive session; this adds a live console view and a window-scoped heard-node summary on top. Args: ctx: Shared application context. params: ``seconds`` โ€” how long to capture (``0``/``None`` = until Ctrl-C). Returns: A :class:`ToolResult` with the window's packet and node counts. """ seconds = int(params.get("seconds") or 0) await ctx.device() # surface connection problems before announcing the capture await ctx.monitor.start() # register history recording before the hub pumps await ctx.events.start() ctx.console.print( "[muted]monitoring" f"{f' for {seconds}s' if seconds else ' โ€” press Ctrl-C to stop'}โ€ฆ[/muted]" ) seen: list[Observation] = [] def on_observation(event: MeshEvent) -> None: obs = event.observation if obs is None: return seen.append(obs) stamp = obs.observed_at.astimezone().strftime("%H:%M:%S") who = obs.name or obs.node or "?" snr = f" [muted]{obs.snr:+.1f} dB[/muted]" if obs.snr is not None else "" rssi = f" [muted]{obs.rssi:.0f} dBm[/muted]" if obs.rssi is not None else "" loc = " [ok]โ—[/ok]" if obs.lat is not None else "" ctx.console.print( f"[muted]{stamp}[/muted] [accent]{who}[/accent]{snr}{rssi}{loc}" ) unsubscribe = ctx.events.subscribe(on_observation, EventKind.OBSERVATION) try: if seconds: await asyncio.sleep(seconds) else: await asyncio.Event().wait() # until Ctrl-C / cancellation except (KeyboardInterrupt, asyncio.CancelledError): # pragma: no cover - interactive pass finally: unsubscribe() await ctx.monitor.stop() # close the run row so the capture is a full record by_node: dict[str, list[Observation]] = {} for obs in seen: by_node.setdefault(obs.node, []).append(obs) nodes = [HeardNode.from_observations(node, group) for node, group in by_node.items()] if nodes: nodes.sort(key=lambda n: n.last_seen, reverse=True) ctx.ui.show(_heard_table(nodes)) return ToolResult( summary={"seconds": seconds, "packets": len(seen), "nodes": len(nodes)}, message=( f"[ok]โœ“[/ok] heard [brand]{len(seen)}[/brand] " f"packet{'' if len(seen) == 1 else 's'} from " f"[brand]{len(nodes)}[/brand] node{'' if len(nodes) == 1 else 's'}" ), ) def register_cli(self, app: typer.Typer) -> None: """Register the ``monitor`` subcommand (the bounded foreground capture). Args: app: The Typer application. """ from ..cli import run_tool_command @app.command(name=self.name, help=self.help) def _monitor( seconds: int = typer.Option( 0, "--seconds", "-s", help="How long to capture (0 = until Ctrl-C)" ), ) -> None: run_tool_command(self, {"seconds": seconds}) def _heard_table(heard: list[HeardNode]) -> Table: """Render the capture window's heard-node summary table. Args: heard: Aggregated per-node statistics for the window. Returns: A Rich :class:`Table` of node, packet count, SNR, RSSI, and location. """ from ..ui.theme import snr_style table = Table(title=f"Heard nodes ({len(heard)})", border_style="muted", expand=False) table.add_column("NODE") table.add_column("PKTS", justify="right") table.add_column("MEDIAN SNR", justify="right") table.add_column("BEST SNR", justify="right") table.add_column("RSSI", justify="right") table.add_column("LOC", justify="center") for node in heard: label = node.name or node.node or "?" median = node.median_snr best = node.best_snr median_cell = ( Text(f"{median:+.1f}", style=snr_style(median)) if median is not None else Text("โ€”") ) best_cell = ( Text(f"{best:+.1f}", style=snr_style(best)) if best is not None else Text("โ€”") ) rssi_cell = f"{node.last_rssi:.0f}" if node.last_rssi is not None else "โ€”" loc_cell = Text("โ—", style="ok") if node.has_location else Text("ยท", style="muted") table.add_row( str(label), str(node.count), median_cell, best_cell, rssi_cell, loc_cell ) return table