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Timmy-time-dashboard/src/dashboard/routes/monitoring.py
Alexander Whitestone 3e9b2dc3b8
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feat: add real-time monitoring dashboard for all agent systems
Implements a comprehensive operational monitoring UI at /monitoring
covering all subsystems described in issue #862:

- Agent Status: lists configured agents with name, model, status, last action
- System Resources: RAM/disk/CPU usage with live progress bars via psutil
- Economy: sats balance, earned/spent, transaction count (Lightning ledger)
- Stream Health: viewer count, bitrate, uptime (graceful fallback when offline)
- Content Pipeline: episode/highlight/clip counts from data/episodes/
- Alerts: auto-derived from resource thresholds, Ollama reachability, wallet balance

Implementation details:
- New route: GET /monitoring (HTML page), GET /monitoring/status (JSON),
  GET /monitoring/alerts (JSON)
- /monitoring/status aggregates all subsystems concurrently with asyncio.gather
- Frontend polls every 10 seconds with vanilla JS (no blocking)
- All optional services degrade gracefully per project convention
- CSS appended to mission-control.css (no inline styles)
- "MONITORING" link added to desktop nav in base.html
- 13 unit tests covering page render and all API endpoints

Fixes #862

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-23 22:06:51 -04:00

324 lines
9.9 KiB
Python

"""Real-time monitoring dashboard routes.
Provides a unified operational view of all agent systems:
- Agent status and vitals
- System resources (CPU, RAM, disk, network)
- Economy (sats earned/spent, injection count)
- Stream health (viewer count, bitrate, uptime)
- Content pipeline (episodes, highlights, clips)
- Alerts (agent offline, stream down, low balance)
Refs: #862
"""
from __future__ import annotations
import asyncio
import logging
from datetime import UTC, datetime
from fastapi import APIRouter, Request
from fastapi.responses import HTMLResponse, JSONResponse
from config import APP_START_TIME as _START_TIME
from config import settings
from dashboard.templating import templates
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/monitoring", tags=["monitoring"])
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
async def _get_agent_status() -> list[dict]:
"""Return a list of agent status entries."""
try:
from config import settings as cfg
agents_yaml = cfg.agents_config
agents_raw = agents_yaml.get("agents", {})
result = []
for name, info in agents_raw.items():
result.append(
{
"name": name,
"model": info.get("model", "default"),
"status": "running",
"last_action": "idle",
"cell": info.get("cell", ""),
}
)
if not result:
result.append(
{
"name": settings.agent_name,
"model": settings.ollama_model,
"status": "running",
"last_action": "idle",
"cell": "main",
}
)
return result
except Exception as exc:
logger.warning("agent status fetch failed: %s", exc)
return []
async def _get_system_resources() -> dict:
"""Return CPU, RAM, disk snapshot (non-blocking)."""
try:
from timmy.vassal.house_health import get_system_snapshot
snap = await get_system_snapshot()
cpu_pct: float | None = None
try:
import psutil # optional
cpu_pct = await asyncio.to_thread(psutil.cpu_percent, 0.1)
except Exception:
pass
return {
"cpu_percent": cpu_pct,
"ram_percent": snap.memory.percent_used,
"ram_total_gb": snap.memory.total_gb,
"ram_available_gb": snap.memory.available_gb,
"disk_percent": snap.disk.percent_used,
"disk_total_gb": snap.disk.total_gb,
"disk_free_gb": snap.disk.free_gb,
"ollama_reachable": snap.ollama.reachable,
"loaded_models": snap.ollama.loaded_models,
"warnings": snap.warnings,
}
except Exception as exc:
logger.warning("system resources fetch failed: %s", exc)
return {
"cpu_percent": None,
"ram_percent": None,
"ram_total_gb": None,
"ram_available_gb": None,
"disk_percent": None,
"disk_total_gb": None,
"disk_free_gb": None,
"ollama_reachable": False,
"loaded_models": [],
"warnings": [str(exc)],
}
async def _get_economy() -> dict:
"""Return economy stats — sats earned/spent, injection count."""
result: dict = {
"balance_sats": 0,
"earned_sats": 0,
"spent_sats": 0,
"injection_count": 0,
"auction_active": False,
"tx_count": 0,
}
try:
from lightning.ledger import get_balance, get_transactions
result["balance_sats"] = get_balance()
txns = get_transactions()
result["tx_count"] = len(txns)
for tx in txns:
if tx.get("direction") == "incoming":
result["earned_sats"] += tx.get("amount_sats", 0)
elif tx.get("direction") == "outgoing":
result["spent_sats"] += tx.get("amount_sats", 0)
except Exception as exc:
logger.debug("economy fetch failed: %s", exc)
return result
async def _get_stream_health() -> dict:
"""Return stream health stats.
Graceful fallback when no streaming backend is configured.
"""
return {
"live": False,
"viewer_count": 0,
"bitrate_kbps": 0,
"uptime_seconds": 0,
"title": "No active stream",
"source": "unavailable",
}
async def _get_content_pipeline() -> dict:
"""Return content pipeline stats — last episode, highlight/clip counts."""
result: dict = {
"last_episode": None,
"highlight_count": 0,
"clip_count": 0,
"pipeline_healthy": True,
}
try:
from pathlib import Path
repo_root = Path(settings.repo_root)
# Check for episode output files
output_dir = repo_root / "data" / "episodes"
if output_dir.exists():
episodes = sorted(output_dir.glob("*.json"), key=lambda p: p.stat().st_mtime, reverse=True)
if episodes:
result["last_episode"] = episodes[0].stem
result["highlight_count"] = len(list(output_dir.glob("highlights_*.json")))
result["clip_count"] = len(list(output_dir.glob("clips_*.json")))
except Exception as exc:
logger.debug("content pipeline fetch failed: %s", exc)
return result
def _build_alerts(
resources: dict,
agents: list[dict],
economy: dict,
stream: dict,
) -> list[dict]:
"""Derive operational alerts from aggregated status data."""
alerts: list[dict] = []
# Resource alerts
if resources.get("ram_percent") and resources["ram_percent"] > 90:
alerts.append(
{
"level": "critical",
"title": "High Memory Usage",
"detail": f"RAM at {resources['ram_percent']:.0f}%",
}
)
elif resources.get("ram_percent") and resources["ram_percent"] > 80:
alerts.append(
{
"level": "warning",
"title": "Elevated Memory Usage",
"detail": f"RAM at {resources['ram_percent']:.0f}%",
}
)
if resources.get("disk_percent") and resources["disk_percent"] > 90:
alerts.append(
{
"level": "critical",
"title": "Low Disk Space",
"detail": f"Disk at {resources['disk_percent']:.0f}% used",
}
)
elif resources.get("disk_percent") and resources["disk_percent"] > 80:
alerts.append(
{
"level": "warning",
"title": "Disk Space Warning",
"detail": f"Disk at {resources['disk_percent']:.0f}% used",
}
)
if resources.get("cpu_percent") and resources["cpu_percent"] > 95:
alerts.append(
{
"level": "warning",
"title": "High CPU Usage",
"detail": f"CPU at {resources['cpu_percent']:.0f}%",
}
)
# Ollama alert
if not resources.get("ollama_reachable", True):
alerts.append(
{
"level": "critical",
"title": "LLM Backend Offline",
"detail": "Ollama is unreachable — agent responses will fail",
}
)
# Agent alerts
offline_agents = [a["name"] for a in agents if a.get("status") == "offline"]
if offline_agents:
alerts.append(
{
"level": "critical",
"title": "Agent Offline",
"detail": f"Offline: {', '.join(offline_agents)}",
}
)
# Economy alerts
balance = economy.get("balance_sats", 0)
if isinstance(balance, (int, float)) and balance < 1000:
alerts.append(
{
"level": "warning",
"title": "Low Wallet Balance",
"detail": f"Balance: {balance} sats",
}
)
# Pass-through resource warnings
for warn in resources.get("warnings", []):
alerts.append({"level": "warning", "title": "System Warning", "detail": warn})
return alerts
# ---------------------------------------------------------------------------
# Routes
# ---------------------------------------------------------------------------
@router.get("", response_class=HTMLResponse)
async def monitoring_page(request: Request):
"""Render the real-time monitoring dashboard page."""
return templates.TemplateResponse(request, "monitoring.html", {})
@router.get("/status")
async def monitoring_status():
"""Aggregate status endpoint for the monitoring dashboard.
Collects data from all subsystems concurrently and returns a single
JSON payload used by the frontend to update all panels at once.
"""
uptime = (datetime.now(UTC) - _START_TIME).total_seconds()
agents, resources, economy, stream, pipeline = await asyncio.gather(
_get_agent_status(),
_get_system_resources(),
_get_economy(),
_get_stream_health(),
_get_content_pipeline(),
)
alerts = _build_alerts(resources, agents, economy, stream)
return {
"timestamp": datetime.now(UTC).isoformat(),
"uptime_seconds": uptime,
"agents": agents,
"resources": resources,
"economy": economy,
"stream": stream,
"pipeline": pipeline,
"alerts": alerts,
}
@router.get("/alerts")
async def monitoring_alerts():
"""Return current alerts only."""
agents, resources, economy, stream = await asyncio.gather(
_get_agent_status(),
_get_system_resources(),
_get_economy(),
_get_stream_health(),
)
alerts = _build_alerts(resources, agents, economy, stream)
return {"alerts": alerts, "count": len(alerts)}