Junie's session targeted the prompt "stabilize ./install.py -c conf/k3d.cfg
using strict TDD" — broad installer-side work, not the k3d-mirror Phase 3
brief I had filed (which she didn't pick up; phase-3 brief stays open). All
750 installer tests pass post-change.
What Junie produced:
install.py (NEW) Top-level CLI entry point. Was
imagined by the prompt but didn't
exist; this commit makes it real.
knoe/deployment.py (NEW) `KnoeDeployment` orchestrator for
the k3s service-mode deploy pipeline.
Wraps Ansible kubeconfig fetch,
opentofu apply, init_*.sh post-apply
scripts, and (optionally) supabase/
deploy.sh.
knoe/ui/screens/cluster.py Dual-cluster GKE kubecontext UI: prod env
knoe/ui/screens/cfg.py now shows separate "App Cluster:" and
"DB Cluster:" dropdowns instead of a
single "Kubernetes Context:" combo.
New _app_kubectx_combo + _db_kubectx_combo
widgets; new app/db_cluster_kubecontext
tk.StringVars.
knoe/core/{actions,env,milestones}.py
knoe/core/ops/storage.py
knoe/config.py, knoe/knoe_conf.py Plumbing changes for the dual-cluster
kubecontext flow + storage-class topology
detection cleanup.
knoe/tools/cleanup_cnpg_storage.py (NEW) Stand-alone cleanup utility.
tools/dashboard.sh (NEW) Dashboard helper.
conf/knoe.cfg (NEW) Master cfg generated by knoe_conf.
conf/dev/ (NEW) Dev-mode cfg directory.
conf/port-mapping.cfg Port mapping tweaks for k3d.
tests/installer/* (8 files) New + extended tests for the dual-cluster
tests/test_database_options.py TUI, kubecontext save flow, storage ops,
topology detection, deploy helpers,
database-options screen.
Issues found in Junie's working state and fixed here:
1. install.py was a 11-line import shim with no shebang, no `chmod +x`,
no `if __name__ == '__main__'` block. `./install.py -c conf/k3d.cfg`
returned `Permission denied` and `python install.py` did nothing.
Added `#!/usr/bin/env python3`, `chmod +x`, and a __main__ block
that delegates to `knoe.ui.screens.main()`. `./install.py --help`
now prints the canonical argparse help.
2. knoe/deployment.py had FIVE `subprocess.run()` call sites with no
`timeout=` argument (`_run_script`, `_run_cmd`, the Ansible playbook
fetch, `tofu init`, `tofu apply`). A hung child process — typical
failure mode is a script waiting on stdin or a stalled network
call — would lock up the installer indefinitely. Added timeouts:
- Ansible kubeconfig fetch: 120s
- tofu init: 300s
- tofu apply, _run_script, _run_cmd: bounded by new module
constant `_MILESTONE_TIMEOUT` (default 1800s = 30 min, override
via `KNOE_MILESTONE_TIMEOUT_SECONDS` env var).
`subprocess.TimeoutExpired` is caught explicitly; on timeout the
run helpers return exit code 124 (conventional timeout code).
3. `conf/k3d.cfg` was corrupted with MagicMock string-reprs on disk:
KNOE_CONF = <MagicMock name='Canvas().tk.call().strip()' id='4743999712'>
argocd.node_selector = <MagicMock name='mock.StringVar().get().strip()' id='...'>
Likely path: Junie ran `./install.py -c conf/k3d.cfg` interactively
in a non-Tk environment (or with a partially-mocked widget set) and
the installer's "save current state" path wrote the mock-objects'
`__repr__` strings into the cfg file. This commit reverts the cfg
to its pre-Junie state. **Followup: harden the cfg save path
against non-string widget values** — track separately.
4. The corrupted cfg caused the installer to call `os.makedirs()` on
the mock-string values, producing 10 directories on disk literally
named `<MagicMock name='Canvas().tk.call().strip()' id='4733210304'>/`
etc., with 5–86 files of install artifacts inside each. Removed.
The "final step is timing out" the user reported was almost certainly
issue #2 above: install.py walked the milestone pipeline, hit one of
the unbounded subprocess.run calls, and the wrapped command (probably
supabase/deploy.sh, which Junie was reading for context when her
session timed out) hung. With the timeouts in place that path now
exits cleanly with rc=124 instead of locking up.
Verification:
- pytest tests/installer/ -q 750 passed in ~25s
- python3 -c "import knoe.deployment" imports clean
- ./install.py --help prints argparse help
- find . -maxdepth 1 -type d -name '<MagicMock*' | wc -l 0
- head -7 conf/k3d.cfg clean (no MagicMock)
Out of scope for this commit (followups):
- The cfg save-path that wrote mock-objects-as-strings (issue #3 root cause).
Reproducer: launch the installer in an env where Tk widget vars are
`unittest.mock.MagicMock` instances. The cfg save code should refuse to
serialize non-str values rather than calling `str()` on a MagicMock.
- The k3d-mirror Phase 3 brief (`docs/plans/junie/k3d-knoe-auth-pod-deploy.md`)
is still open — Junie picked a different prompt this round.
Co-authored-by: Junie <junie@jetbrains.com>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- separate default app and db cluster contexts (knoe-dev-0 and knoe-cnpg-0) across actions, ops flows, and installer config\n- update CNPG placement and GKE manifests to keep PostgreSQL on the db cluster while app services stay on the app cluster\n- add GCS-backed Barman ObjectStore manifest and cross-cluster Garage patch workflow\n- refresh UI cluster/database/service screens and monitoring wiring for dual-cluster operation\n- add reset/patch scripts, db context selection test coverage, and architecture/network documentation updates
Co-authored-by: Junie <junie@jetbrains.com>
- harden CNPG backup ObjectStore readiness fallback in statusless clusters by validating controller availability and expected spec
- improve backup/plugin reconciliation paths and related test coverage for barman-cloud flows
- include ongoing GKE/CNPG deployment and configuration updates from this checkpoint
Co-authored-by: Junie <junie@jetbrains.com>
UI screens
- database.py: fix mode detection to use env_key priority (prod→k8s, service→k3s) so stale DEPLOYMENT_MODE never overrides the user's chosen environment
- database.py: Registry status reads ARTIFACT_REGISTRY_AVAILABLE persisted by cluster screen; uses SERVICE_NAMESPACE for Artifact Registry repo name
- cluster.py: add Artifact Registry traffic light (amber→green/red) to prod section; _check_artifact_registry_async persists ARTIFACT_REGISTRY_AVAILABLE into Global cfg
- cluster.py: re-trigger Artifact Registry check after GKE cluster selection so the light re-evaluates once region is available from KUBECONTEXT
- cluster_nodes.py: fix TclError on Python 3.14 — pady=(2,0) tuple → pady=2 scalar
- __init__.py: seed knoe-system namespace when saved value is "default", not only when empty
- services.py: replace hardcoded "Prole DB" log string with dynamic cnpg_cluster name
Core ops
- cloudnative_pg.py: replace one-shot Barman plugin retry with 6-attempt loop; first cert-manager/x509 failure triggers rollout restart + 30 s CA propagation wait; subsequent failures back off up to 60 s per attempt
- cloudnative_pg.py: TLS CA CN now uses cluster_name instead of hardcoded "Prole CNPG CA"
- registry.py, garage_store.py: refactored into per-mode modules (k3d/k3s/k8s registry and garage store, shared _garage_common)
Deploy / config
- deploy/gcp/gke/knoe-db.yaml: GKE-specific CNPG cluster manifest (rw/ro/r on separate nodes with premium-rwo storage)
- etc/init_common_services.sh, modes/k8s/knoe-db/.version: updated for current deploy
- kong-deployment.yaml: updated manifest
Tests
- test_cluster_nodes_render_smoke.py: add pack/grid, winfo_children, winfo_reqheight, update_idletasks, grid_slaves to dummy widgets; monkeypatch tk.Label so CNPG placement render completes without a real Tkinter root
Co-authored-by: Junie <junie@jetbrains.com>
## GCP / Cluster Environment Screen
- Auto-populate Cloud tab from conf/prod/gcp.cfg on screen open (org_id,
billing_account, billing_project, project_id)
- gcloud auth validity checked on screen startup; friendly modal dialog
streams gcloud auth login output live so user never leaves the app
- Live GKE cluster browser: fetches clusters via gcloud container clusters
list, displays with checkmark selector, auto-selects saved cluster
- Selecting a cluster runs get-credentials, sets KUBECONFIG/KUBECONTEXT,
and syncs the region dropdown to the selected cluster's location
- Region dropdown populated live from gcloud compute regions list with
checkmark on currently selected region; graceful fallback when offline
- New 'GCP Storage' tab with workload->StorageClass mapping (CNPG->premium-rwo,
Redis/Monitoring->standard-rwo, Garage->garage-hdd) and Fetch from Cluster
- Provider readonly field styled correctly (no solid-black on macOS)
- Stale prole.cfg/conf/prole.cfg symlinks removed; all config I/O now
resolves env-specific paths via prole_conf.entrypoint_path()
## GKE Autopilot Compatibility (Common Services)
- Synology iSCSI StorageClass and static PVs guarded behind PROLE_MODE!=k8s
in init_openbao.sh (GKE Autopilot forbids hostPath/iSCSI volumes)
- In-cluster Docker registry (hostPath) skipped in k8s mode; GCP Artifact
Registry used instead
- Kong renamed knoe-svc-kong in k8s mode; all health-check kubectl calls in
init_common_services.sh and status_common_services.sh updated accordingly
- DNS endpoints switched from *.prole.org to *.knoe.dev in k8s mode
(api.knoe.dev, git.knoe.dev, svc.knoe.dev); ingress uses gce class
- New GKE-clean Kong manifests under deploy/opentofu/k8s/manifests/prole/:
no k3s node affinity, explicit Autopilot resource requests/limits
## Garage S3 Store (GKE)
- New garage-statefulset-gcp.yaml targeting garage-hdd StorageClass
(pd-standard, avoids SSD_TOTAL_GB quota exhaustion in us-west3)
- New storageclass-gcp-hdd.yaml (pd-standard, Retain, WaitForFirstConsumer)
- GCP StorageClass manifests skipped on re-runs (Autopilot built-ins are
immutable; skip-if-exists guard added)
- PVC deletion guard extended to cover any storageClass (not just synology)
so stale claims are cleaned before StatefulSet recreation
## Topology (GKE Autopilot)
- DaemonSet collector skipped in prod mode (forbidden in kube-system by
GKE Warden); Kubernetes-only node facts path used instead
- All ready GKE nodes assumed cnpg-eligible and monitoring-eligible without
taint/synology-mount checks (skip_collector + assume_nodes_eligible flags)
## KUBECONFIG / kubectl (k8s mode)
- actions.py: new elif mode==k8s branch sets KUBECONFIG=~/.kube/config
and injects KUBECONTEXT from prole_cfg_data into script env
- _build_kubectl_cmd falls back to Global.KUBECONTEXT when
init_cluster.selected_kubectx is empty
- _activate_selected_gke_cluster persists KUBECONFIG/KUBECONTEXT to
prole_cfg_data and saves prole.cfg immediately after get-credentials
## Database Build Screen (GKE)
- Registry display shows correct Artifact Registry URL
(<region>-docker.pkg.dev/<project>/<namespace>/knoe-db) in green
- Build+push: gcloud auth configure-docker, auto-creates AR repository
named after SERVICE_NAMESPACE (e.g. knoe-system) if missing, then
docker tag + push; falls back to gcr.io if region unavailable
- GCP config loaded from conf/prod/gcp.cfg on every screen entry;
keys normalised to lowercase so project_id lookup is always consistent
## Config / Namespace persistence
- prole_conf.py activate_environment: symlink creation removed; sets
CLUSTER_ENV env-var so all subsequent calls resolve correct env directory
- knoe/ui/screens/__init__.py: startup config load uses entrypoint_path()
instead of hardcoded conf/prole.cfg; seeds SERVICE_NAMESPACE=knoe-system
for managed envs so Common Services never defaults to 'default'
- cfg.py _save_prole_cfg: saves to env-specific path via entrypoint_path()
- etc/prole_cfg.sh: removed all ln -snf symlink creation
Co-authored-by: Junie <junie@jetbrains.com>
- update Kong/Supabase ingress and service manifests for k3s
- expand init scripts and runtime config/topology handling
- refresh KNØE UI screens and Supabase deployment/render logic
- include related env helper test adjustments
Co-authored-by: Junie <junie@jetbrains.com>
- Introduced `knoe.core.prod_config` with production configuration schema and helper methods.
- Added validation logic to enforce required fields and expected formats.
- Implemented in-process API (`ProdConfigApi`) for managing production configs.
- Added test coverage for default config behavior, validation, YAML generation, and API workflow.
- Updated cluster UI layout and tests to integrate production config with new navigation flows.
- Added host inventory and updated service flow to reflect production setup changes.
STABLE BUILD — all 35+ pods Running, zero non-Running pods, CNPG ready=3.
## Architecture changes (Supabase slim-down)
- Removed local Supabase Kong, Storage, MinIO, Imgproxy from deployed stack
- Rewired API routing to shared Kong in kube-system
- Rewired object storage to shared Garage in knoe-system
- Supabase footprint reduced to control-plane only: auth, rest, meta,
analytics, realtime (studio port-forward retained)
- Supabase pods renamed: stripped redundant '-prole-supabase-' prefix via
per-component fullnameOverride (e.g. supabase-auth, supabase-rest, ...)
- Supabase workloads pinned to merlin.prole.org (memory-safe node)
## File changes
- conf/service/prole.cfg
* Replaced all hardcoded /Users/chrisfu/dev/prole paths with ${HOME}/dev/prole
so config is portable when run from myrddin.prole.org or any user home
* SUPABASE_ENABLED=True, SUPABASE_PRIMARY_NODE=merlin.prole.org in
both [Global] and [Optional Features]
* supabase_enabled=true in [Inputs]/init_cluster section
- supabase/helm/render_supabase.py
* Explicitly disabled: kong, storage, minio, imgproxy
* Active components pinned via nodeSelector to merlin.prole.org
* fullnameOverride per component to clean up pod names
* Default primary node changed from pi.prole.org -> merlin.prole.org
- supabase/deploy.sh
* Removed svc/kong port-forward; API via shared Kong in kube-system
* Removed imgproxy/storage from PV/PVC prep and helm --set persistence args
* Fixed kubectl exec missing -i flag for psql heredoc stdin in
setup_knoe_db_for_supabase
* Updated Studio access messaging to reference shared platform Kong
- k8s/prole/knoe-db.yaml
* instances: 3
* Added control-plane/master tolerations for myrddin scheduling
- deploy/opentofu/k3s/manifests/prole/knoe-db.yaml
* instances: 3, added control-plane tolerations (mirrors k8s/prole/)
- k8s/prole/iscsi-pvs.yaml
* Expanded d003-data/d003-wal nodeAffinity to [pi, merlin, myrddin]
to reflect post-OOM-recovery live state
- k8s/registry/deployment.yaml
* nodeSelector restored to myrddin.prole.org (hostPort 5000 owner)
* Added control-plane + master tolerations so pod schedules correctly
- modes/k3s/knoe-db/.version
* Aligned to 140 (image tag 18-140) matching repo-root version
- etc/init_common_services.sh, etc/init_registry.sh
* Minor fixes aligned with slimmed service layout and node targeting
- infrastructure/inventory/host_vars/pi.prole.org.yml
* Updated host vars to reflect post-recovery pi state
- knoe/core/topology.py, knoe/ui/screens/cluster.py,
knoe/ui/screens/cluster_nodes.py
* Topology and UI updates for 3-node cluster representation
- scan/network_description.txt
* Refreshed network scan output post-recovery
- conf/port-mapping.cfg
* Updated port mapping to reflect removal of local Kong/storage forwards
- scripts/cleanup_stale_rs.sh (new)
* Utility script to prune orphaned ReplicaSets after rollouts
## Verified stable state
- CNPG: Cluster in healthy state, ready=3
knoe-db-2 (merlin, primary), knoe-db-3 (pi), knoe-db-5 (myrddin)
- Supabase: 5 pods Running on merlin.prole.org
supabase-auth, supabase-rest, supabase-meta,
supabase-analytics, supabase-realtime
- Monitoring: all prometheus/grafana/alertmanager pods Running on merlin
- Registry: Running on myrddin.prole.org (hostPort 5000)
- Zero non-Running / non-Completed pods across all namespaces
Co-authored-by: Junie <junie@jetbrains.com>
