Files
stackpilot/backend/services/dashboard_service.py
T
menzeljandClaude Opus 4.8 c830d28b65 Dashboard: rebuild into an operator cockpit (0.38.0)
Replace the analytics-style dashboard (stack-health funnel, uptime %,
operations/day grid, AI pill) with an attention-driven fleet cockpit:

- New /api/dashboard/fleet endpoint: server-side fan-out across the local
  host and every agent into one payload — a prioritized "needs attention"
  list, headline KPIs, an honest stack-status breakdown and a per-host
  resource rollup. Each agent uses its own DB session so the fan-out is
  concurrency-safe; failures degrade to "offline" instead of stalling.
- New frontend: AttentionStrip, FleetKpiRow, StackStatusBar and
  HostResourceTable; Dashboard.tsx rewritten around them.
- Remove the funnel/summary endpoints, the uptime sampler loop and the
  ops-activity machinery; delete the now-unused chart components.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-24 11:04:57 +00:00

353 lines
14 KiB
Python

"""Fleet aggregate for the dashboard cockpit.
One read-only call rolls up every host (local + agents) into a "needs
attention" list, headline KPIs and a per-host resource view. It is cheap by
construction: a single container *summary* list (no per-container inspect)
drives the local figures, image freshness comes from the cache the
update-service background loop already maintains, and per agent it makes a
small bounded set of HTTP fetches that degrade gracefully on failure.
"""
from __future__ import annotations
import asyncio
import time
from datetime import datetime, timedelta, timezone
from sqlmodel import Session, select
from database import engine
from docker_client import DockerError, get_client, safe_call
from models.agent import Agent
from models.backup_schedule import BackupSchedule
from services import agent_service, compose_service, update_service
COMPOSE_LABEL = compose_service.COMPOSE_LABEL
# Fleet aggregate: cached briefly because each call may fan out to every agent.
FLEET_TTL = 25.0
DISK_PRESSURE = 0.85 # disk used fraction above which a host needs attention
MEM_PRESSURE = 0.90 # memory used fraction above which a host needs attention
_fleet_cache: dict = {"data": None, "ts": 0.0}
# --------------------------------------------------------------------------- #
# Container summary (single Docker round-trip) + shared classifiers
# --------------------------------------------------------------------------- #
def _list_containers() -> list[dict]:
client = get_client()
return safe_call(client.api.containers, all=True)
def _group_by_project(raw: list[dict]) -> dict[str, list[dict]]:
by_project: dict[str, list[dict]] = {}
for c in raw:
project = (c.get("Labels") or {}).get(COMPOSE_LABEL)
if project:
by_project.setdefault(project, []).append(c)
return by_project
def _is_healthy(containers: list[dict]) -> bool:
"""All containers that *have* a healthcheck report healthy.
The summary ``Status`` string carries the health suffix — "(healthy)",
"(unhealthy)" or "(health: starting)" — only for containers with a
healthcheck configured, so its absence simply means "no healthcheck".
"""
for c in containers:
status = c.get("Status", "") or ""
if "(unhealthy)" in status or "(health:" in status:
return False
return True
def _is_updated(containers: list[dict], cache: dict[str, dict]) -> bool:
for c in containers:
st = cache.get(c.get("Image", ""))
if st and st.get("update_available"):
return False
return True
# --------------------------------------------------------------------------- #
# Fleet aggregate (one call → "needs attention" + KPIs across every host)
#
# The dashboard used to poll each agent individually and recombine the numbers
# client-side. ``compute_fleet`` does the fan-out server-side instead: one local
# Docker pass plus, per online agent, a small set of system/stacks/updates
# fetches — all wrapped so a slow or broken agent degrades to "offline" rather
# than stalling the whole view. Cached for FLEET_TTL because the fan-out is not
# free.
# --------------------------------------------------------------------------- #
# Stack-status buckets the status bar / KPIs are built from. Anything reporting
# "error" or "dead" containers counts as a problem stack.
_PROBLEM_STATUSES = {"error", "dead"}
def _bucket_statuses(statuses: list[str]) -> dict[str, int]:
return {
"running": sum(1 for s in statuses if s == "running"),
"partial": sum(1 for s in statuses if s == "partial"),
"stopped": sum(1 for s in statuses if s in ("stopped", "exited")),
"error": sum(1 for s in statuses if s in _PROBLEM_STATUSES),
"total": len(statuses),
}
def _attn(severity: str, kind: str, host: str, title: str, detail: str, link: str) -> dict:
return {
"severity": severity,
"kind": kind,
"host": host,
"title": title,
"detail": detail,
"link": link,
}
def _resource_attention(name: str, link: str, mem_used: int, mem_total: int,
disk_used: int, disk_total: int) -> list[dict]:
items: list[dict] = []
if mem_total and mem_used / mem_total >= MEM_PRESSURE:
pct = round(mem_used / mem_total * 100)
items.append(_attn("warn", "mem_pressure", name,
f"{name}: memory at {pct}%", "Free memory or move stacks.", link))
if disk_total and disk_used / disk_total >= DISK_PRESSURE:
pct = round(disk_used / disk_total * 100)
items.append(_attn("warn", "disk_pressure", name,
f"{name}: disk at {pct}%", "Prune images/volumes or add capacity.", link))
return items
def _local_host() -> tuple[dict, list[dict]]:
"""Local host card + attention items from a single Docker container pass."""
discovered = compose_service.discover_stacks()
try:
raw = _list_containers()
except DockerError:
raw = []
by_project = _group_by_project(raw)
update_cache = update_service.get_cache()
statuses: list[str] = []
unhealthy: list[str] = []
updates = 0
for stack_id in discovered:
containers = by_project.get(stack_id, [])
status = compose_service._status_from_states([c.get("State", "") for c in containers])
statuses.append(status)
if status == "running" and not _is_healthy(containers):
unhealthy.append(stack_id)
if not _is_updated(containers, update_cache):
updates += 1
buckets = _bucket_statuses(statuses)
labelled = [c for c in raw if (c.get("Labels") or {}).get(COMPOSE_LABEL)]
# Local resource figures (lazy import keeps dashboard_service free of a
# router dependency at module load time).
from routers.system import _cpu_count, _disk_usage, _mem_info
mem = _mem_info()
disk = _disk_usage()
host = {
"id": "local",
"name": "local",
"online": True,
"status": "online",
"cpu_cores": _cpu_count(),
"mem_used": mem["used"], "mem_total": mem["total"],
"disk_used": disk["used"], "disk_total": disk["total"],
"stacks": buckets,
"containers_running": sum(1 for c in labelled if c.get("State") == "running"),
"containers_total": len(labelled),
"unhealthy": len(unhealthy),
"updates_available": updates,
}
attention: list[dict] = []
for sid in unhealthy:
attention.append(_attn("error", "unhealthy", "local",
f"{sid} is unhealthy", "A container is failing its healthcheck.",
f"/stacks/{sid}"))
if buckets["error"]:
attention.append(_attn("error", "stack_error", "local",
f"{buckets['error']} stack(s) in error", "Containers are dead.", "/stacks"))
if buckets["partial"]:
attention.append(_attn("warn", "stack_partial", "local",
f"{buckets['partial']} stack(s) partially running",
"Some services are down.", "/stacks"))
if updates:
attention.append(_attn("warn", "updates", "local",
f"{updates} stack(s) have image updates", "Pull the newer images.", "/images"))
attention += _resource_attention("local", "/", mem["used"], mem["total"],
disk["used"], disk["total"])
return host, attention
def _offline_host(agent_id: int, name: str, status: str) -> dict:
return {"id": agent_id, "name": name, "online": False, "status": status,
"cpu_cores": 0, "mem_used": 0, "mem_total": 0, "disk_used": 0, "disk_total": 0,
"stacks": _bucket_statuses([]), "containers_running": 0, "containers_total": 0,
"unhealthy": 0, "updates_available": 0}
async def _agent_host(agent_id: int) -> tuple[dict, list[dict]]:
"""One agent's host card + attention items, tolerant of partial failure.
Opens its own Session so the fan-out across agents stays concurrency-safe
(a shared SQLModel session is not), and fetches sequentially within the
agent because :func:`agent_service.call` commits a status update each time.
"""
with Session(engine) as session:
agent = session.get(Agent, agent_id)
if agent is None:
return _offline_host(agent_id, str(agent_id), "unknown"), []
name = agent.name
# Agent stacks live in the host section of the dashboard, not a route
# of their own, so aggregate agent items deep-link back to it.
link = "/"
if agent.status != "online":
return _offline_host(agent_id, name, agent.status), [
_attn("error", "agent_offline", name,
f"{name} is {agent.status}", "Check it under Settings → Remote hosts.",
"/settings")]
async def _fetch(path: str):
try:
return await agent_service.call(session, agent, "GET", path)
except Exception: # AgentError or transport — degrade gracefully
return None
sys_data = await _fetch("/agent/system")
stacks = await _fetch("/agent/stacks")
updates = await _fetch("/agent/stacks/updates")
if sys_data is None and stacks is None:
# Couldn't reach it at all — agent_service.call already marked it offline.
return _offline_host(agent_id, name, "offline"), [
_attn("error", "agent_offline", name,
f"{name} is unreachable", "Check it under Settings → Remote hosts.",
"/settings")]
sys_data = sys_data or {}
statuses = [s.get("status", "") for s in (stacks or [])]
buckets = _bucket_statuses(statuses)
update_count = sum(1 for v in (updates or {}).values()
if isinstance(v, dict) and v.get("update_available"))
host = {
"id": agent_id,
"name": name,
"online": True,
"status": "online",
"cpu_cores": sys_data.get("cpu_cores", 0),
"mem_used": sys_data.get("mem_used", 0), "mem_total": sys_data.get("mem_total", 0),
"disk_used": sys_data.get("disk_used", 0), "disk_total": sys_data.get("disk_total", 0),
"stacks": buckets,
"containers_running": sys_data.get("compose_running", sys_data.get("containers_running", 0)),
"containers_total": sys_data.get("containers_total", 0),
"unhealthy": buckets["error"], # agents expose no healthcheck rollup; error is the proxy
"updates_available": update_count,
}
attention: list[dict] = []
if buckets["error"]:
attention.append(_attn("error", "stack_error", name,
f"{name}: {buckets['error']} stack(s) in error",
"Containers are dead.", link))
if buckets["partial"]:
attention.append(_attn("warn", "stack_partial", name,
f"{name}: {buckets['partial']} stack(s) partially running",
"Some services are down.", link))
if update_count:
attention.append(_attn("warn", "updates", name,
f"{name}: {update_count} stack(s) have image updates",
"Pull the newer images.", link))
attention += _resource_attention(name, link,
host["mem_used"], host["mem_total"],
host["disk_used"], host["disk_total"])
return host, attention
def _backup_attention(session: Session, agent_names: dict[int, str]) -> list[dict]:
"""Flag enabled backup schedules whose last run failed or is overdue."""
now = datetime.now(timezone.utc)
items: list[dict] = []
for sch in session.exec(select(BackupSchedule).where(BackupSchedule.enabled == True)).all(): # noqa: E712
host = agent_names.get(sch.agent_id, "local") if sch.agent_id else "local"
status = (sch.last_status or "").lower()
if status and not status.startswith("ok"):
items.append(_attn("error", "backup_failed", host,
f"Backup of {sch.stack_id} failed", sch.last_status or "",
"/settings"))
elif sch.next_run and _aware(sch.next_run) < now - timedelta(hours=1):
items.append(_attn("warn", "backup_overdue", host,
f"Backup of {sch.stack_id} is overdue",
"Scheduled run did not happen.", "/settings"))
return items
def _aware(dt: datetime) -> datetime:
"""Treat naive DB timestamps as UTC (they're stored that way)."""
return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc)
_SEVERITY_ORDER = {"error": 0, "warn": 1}
async def compute_fleet(session: Session, refresh: bool = False) -> dict:
now = time.time()
if not refresh and _fleet_cache["data"] and now - _fleet_cache["ts"] < FLEET_TTL:
return _fleet_cache["data"]
local_host, attention = await asyncio.to_thread(_local_host)
agents = session.exec(select(Agent)).all()
agent_names = {a.id: a.name for a in agents}
agent_ids = [a.id for a in agents]
agent_results = await asyncio.gather(*[_agent_host(aid) for aid in agent_ids])
hosts = [local_host]
for host, items in agent_results:
hosts.append(host)
attention += items
attention += _backup_attention(session, agent_names)
attention.sort(key=lambda a: _SEVERITY_ORDER.get(a["severity"], 9))
kpis = {
"hosts_online": sum(1 for h in hosts if h["online"]),
"hosts_total": len(hosts),
"stacks_running": sum(h["stacks"]["running"] for h in hosts),
"stacks_partial": sum(h["stacks"]["partial"] for h in hosts),
"stacks_total": sum(h["stacks"]["total"] for h in hosts),
"containers_running": sum(h["containers_running"] for h in hosts),
"containers_total": sum(h["containers_total"] for h in hosts),
"unhealthy": sum(h["unhealthy"] for h in hosts),
"updates_available": sum(h["updates_available"] for h in hosts),
"backups_failing": sum(1 for a in attention if a["kind"] in ("backup_failed", "backup_overdue")),
}
status_totals = {
"running": kpis["stacks_running"],
"partial": kpis["stacks_partial"],
"stopped": sum(h["stacks"]["stopped"] for h in hosts),
"error": sum(h["stacks"]["error"] for h in hosts),
}
data = {
"as_of": datetime.now(timezone.utc).isoformat(),
"hosts": hosts,
"kpis": kpis,
"status_totals": status_totals,
"attention": attention,
}
_fleet_cache["data"] = data
_fleet_cache["ts"] = now
return data