feat(norms): hosts, containers and monitor response times are graded against their own normal (#5742)

Host CPU, memory and load per core, container CPU and memory, and every
monitor's response time learn a normal per hour (milestone 513, System 182).
A reading past its fixed cutoff but within its normal reads healthy and says
what is usual at this hour; one well out of it keeps its grade and is a
metric anomaly. Disk, a monitor down and an agent offline keep their cutoffs.

- Each normal's floor, the smallest departure that counts, is a setting:
  Settings -> Thresholds -> Normals (norms.floor.*). Defaults: host CPU 10
  points, host memory 5, load per core 10, container CPU 10 points of one
  core, container memory 5, monitor response 100 ms; Traefik's 2-point 4xx
  and 50 ms p95 floors move there from constants. learn_normal takes a
  floor function (floor_setting) read at each pass.
- learn_normal(parts=False): a host learns, its cores don't.
- Ingest records load_pct (load_1m / cores x 100), the figure pages grade.
- Shared grading: anomalies.against / graded, worst_reading(normals=),
  hosts' host_grades, docker usage(thresholds=, norms=), monitors'
  latency_grade. Applied to host vitals, the Hosts widget, MCP overview,
  Docker usage, and the monitor list, widget and page.
- The monitor and container pages list their anomalies.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

plugins/docker/__init__.py

@@ -43,6 +43,11 @@ def setup(app: "Quart") -> None:
         description="Keep each container's logs within the age window and byte cap.",
         required_role=UserRole.viewer,
     )
+    # Each container's CPU (100% is one core) and memory share learn their
+    # normal (#5742), each with its floor from Settings → Thresholds.
+    from steward.core.norms import floor_setting, learn_normal
+    learn_normal("docker", "cpu_pct", floor_setting(app, "container_cpu_pct"))
+    learn_normal("docker", "mem_pct", floor_setting(app, "container_mem_pct"))
 
 
 def get_scheduled_tasks() -> list: