The container list and dashboard widget listed each swarm task as its own cryptic
row (svc.1.<taskid>) and could only show tasks on nodes that run a Steward agent.
Make both views service-centric and cluster-complete.
- swarm_view.build_swarm_services(): model-free builder that merges real container
rows (collected local-per-node, so host_id = the node a task runs on) with the
managers' placement (DockerSwarmService.placement_json). Where placement counts
exceed the local rows on a node — i.e. nodes with no agent — it synthesizes
"ghost" replicas so the replica list matches the cluster. Non-swarm containers
pass through grouped by host.
- /rows + rows.html: a Swarm-services panel collapses each service to one block,
every replica a host chip (status + cpu); ghosts render dashed "N · no agent".
Non-swarm/compose containers keep the per-host table below. New Services stat.
- /widget + widget.html: same service collapse with host chips; standalone
containers stay grouped by host.
- Unit tests for the builder (real+ghost merge, full coverage, partial agent-less,
synthesized service, down state).
No migration — node_id, placement_json and swarm-node hostnames are already stored.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016Jg27rgypiW2efULXJDtMC
CI never renders docker templates through the app (the unit-lane app uses
testing=True, which skips plugin loading), so a Jinja syntax error could ship
green. Add unit tests that parse every docker template, smoke-import the routes
module + confirm the #942 view functions exist, and cover the _human_bytes /
_human_uptime presentation helpers. Closes the render-regression gap the new UI
pages introduced.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016Jg27rgypiW2efULXJDtMC
Bounds Docker time-series growth (the main scaling concern). New
docker_metrics_hourly table + docker_006 migration; a plugin retention module
(docker.run_retention capability) rolls raw docker_metrics older than the raw
window into hourly averages (idempotent upsert), deletes the rolled raw rows,
then prunes stale rollups + lifecycle events. Core cleanup.py drives it each
hourly run via the capability (no plugin-model import), reading the three
retention windows fresh from settings so changes apply without restart (rule 25).
Settings → "Thresholds & Retention" gains a Docker retention card (raw /
rolled-up / events windows, working defaults 7/90/30 days). Unit tests cover the
hour-aligned cutoff/bucketing helpers; integration test exercises the real
rollup-average + prune across both windows.
Milestone 77 task #941.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016Jg27rgypiW2efULXJDtMC
Wires the agent's enriched + swarm payloads through the docker.persist_host_
samples capability:
* Swarm topology — persist sample["swarm"] into docker_swarm_services /
docker_swarm_nodes (upsert + prune stale, host-scoped so two managers don't
clobber). Migration docker_005 adds services.placement_json for the
task→node placement the agent now reports.
* Lifecycle events — _derive_events (pure, unit-tested) diffs the newest
snapshot against stored per-container state: start / stop / die (non-zero
exit) / oom / health_change → docker_events rows. Skipped on a host's first
snapshot so the baseline doesn't emit a start per existing container.
* Alerts — record restart_count (always) and is_healthy (1.0/0.0, only when a
HEALTHCHECK exists) alongside cpu/mem, under host-scoped resource names;
METRIC_CATALOG[docker] gains restart_count + is_healthy so they're alertable.
host_agent ingest captures the newest sample's swarm object and threads it to
the capability (now persist_host_docker(session, host, snapshots, swarm=None));
invoked when containers OR swarm are present, under the same SAVEPOINT. Unit
tests cover the event-diff matrix; integration tests cover event derivation
across two snapshots and swarm topology round-trip (incl. placement).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016Jg27rgypiW2efULXJDtMC
bvandeusen