- remove hardcoded physical host assumptions in UI/init flows and rely on config-driven selectors\n- optimize GitLab reruns to skip unnecessary operator upgrades/long reconcile waits when unchanged\n- add and update regression/shell tests for fast-path and k8s context/ingress/garage behaviors
Co-authored-by: Junie <junie@jetbrains.com>
- fix conf/prod/prole.cfg by replacing hardcoded /Users/chrisfu paths with /Users/chrisfu
- remove injected [update.sh] log lines and stray password artifacts so config is executable
- include latest pending updates across deployment config, UI/core flow, vault/network artifacts, and helper scripts
- 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>
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>
New KnoeUsersScreenMixin screen (knoe_users) appears in the install wizard
immediately after Kerberos Authentication (when kerberos is enabled).
- Runs etc/init_knoe_users.sh initialize in a background thread with live
console output, forwarding SERVICE_NAMESPACE/KNOE_KDC_NAMESPACE from the
installer state so the script always targets the right namespace
- Optional Gitea and GitLab admin token fields for service admin promotion
- Next button is disabled until provisioning succeeds (idempotent: button
re-enables on failure so the user can fix and retry)
- Nav chain: kerberos_config -> knoe_users -> argocd_config
Prev from argocd_config respects kerberos_enabled to route correctly
- Records STATUS in prole.cfg under [Knoe User Accounts] section
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.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.
- add reusable storage probing subsystem with discovery, bounded probe execution, IO classification, caching, and topology integration
- render per-node storage inventory in Cluster Nodes UI and extend installer test coverage for topology/storage behavior
- introduce core service operation modules and align actions, milestones, services, and supporting configs/scripts for repair/update workflows
- update CNPG/Supabase/database artifacts, placement and port mapping configs, plus related integration tests
Co-authored-by: Junie <junie@jetbrains.com>
- Replace ambiguous NAMESPACE handling with SERVICE_NAMESPACE, DATABASE_NAMESPACE, and CLUSTER_NAME across config parsing/defaults, environment setup, actions, and UI bindings.
- Persist DATABASE_NAMESPACE and CLUSTER_NAME from Database Browser on Next and use them consistently in CNPG deployment/runtime logic.
- Update milestones/tests and include related config/tooling artifacts (cleanup_cnpg_storage tool, service config/version/network updates).
Co-authored-by: Junie <junie@jetbrains.com>
- Rename iSCSI storage class and PV/PVC selectors/labels from prole to synology across k8s and OpenTofu manifests\n- Update CNPG/OpenBao/Garage/monitoring init flows, render helpers, and mock scripts for synology-backed storage objects\n- Integrate related UI/core/service config/version updates and add supporting regression tests for CNPG storage/image behavior\n- Keep storage reconciliation tests aligned with current CNPG affinity output
Co-authored-by: Junie <junie@jetbrains.com>
