mirror of
https://github.com/zvx-echo6/meshai.git
synced 2026-05-22 07:34:47 +02:00
Matt
fd3f995ebb
Features: - Multi-backend LLM support (OpenAI, Anthropic, Google) - Rolling summary memory for token optimization (~70-80% reduction) - Per-user conversation history with SQLite persistence - Bang commands (!help, !ping, !reset, !status, !weather) - Meshtastic integration via serial or TCP - Message chunking for mesh network constraints (150 char limit) - Rate limiting to prevent network congestion - Rich TUI configurator - Docker support 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
"""Status command handler."""
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import time
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from datetime import timedelta
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from .. import __version__
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from .base import CommandContext, CommandHandler
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# Track bot start time
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_start_time: float = time.time()
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def set_start_time(t: float) -> None:
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"""Set bot start time (called from main)."""
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global _start_time
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_start_time = t
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class StatusCommand(CommandHandler):
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"""Show bot status information."""
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name = "status"
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description = "Show bot status"
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usage = "!status"
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async def execute(self, args: str, context: CommandContext) -> str:
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"""Return bot status information."""
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# Calculate uptime
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uptime_seconds = int(time.time() - _start_time)
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uptime = str(timedelta(seconds=uptime_seconds))
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# Get history stats
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stats = await context.history.get_stats()
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# Build status message
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parts = [
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f"MeshAI v{__version__}",
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f"Up: {uptime}",
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f"Users: {stats['unique_users']}",
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f"Msgs: {stats['total_messages']}",
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]
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return " | ".join(parts)
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