- Changed default GKE non-DB PVCs to use CSI `pd-standard` with WFFC mode, deprecating legacy `standard`.
- Added reconciliation logic for APP PVCs to align with updated storage class.
- Enforced single replica for Supabase functions on GKE, disabling autoscaling.
- Updated tests to validate storage class changes, PVC reconciliation, and single-replica logic.
- 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>
- Refactored `init_gitlab.sh` and `init_gitea.sh` to use configurable node selector keys, removing hardcoded defaults like `gandalf.prole.org`.
- Enhanced scheduling logic to validate required fields and prevent stale node constraints during reruns.
- Added fast-path guards in GitLab init to skip redundant operations when no changes occur in operator or CR specifications.
- Updated Supabase deployment to clear stale topology spread constraints alongside node selectors and affinity.
- Added tests for configurable node selector keys, fast-path guards, and stale constraint cleanups.
- Changed default storage class for GKE to `standard` to reduce pressure on SSD/balanced quotas.
- Disabled `enforceGeneralNodeRole` scheduling for APP/DB values to support split cluster setups.
- Updated tests to validate storage class and scheduling logic changes.
- Introduced `SERVICE_INGRESS_TLS_ENABLED` for configurable svc ingress TLS rendering in `init_kong.sh`.
- Updated ingress templates to include or exclude TLS annotations and blocks dynamically.
- Improved PVC and pod readiness checks in `supabase/deploy.sh` with enriched logging and detailed blockers.
- Added support for configurable storage class resolution for Supabase DB frontdoor PVCs.
- Enhanced deployment workflows to handle split APP/DB cluster setups with context-aware readiness checks.
- Updated test cases to validate svc ingress TLS configuration and storage class logic.
- Introduced `enforceGeneralNodeRole` to make node affinity and selector enforcement configurable.
- Updated `_split_frontdoor_docs` to handle custom release labels for Kong services.
- Enhanced Helm templates to support dynamic scheduling configurations.
- Added `reconcile_db_frontdoor_studio_pvcs` to migrate PVCs to the target storage class.
- Updated tests to validate custom release labels and scheduling logic.
- Updated `_extract_k8s_docs` to use `yaml.safe_load_all` for improved parsing and reliability.
- Enhanced `_split_frontdoor_docs` with stricter validation of Deployment, Service, and Ingress specs.
- Added namespace enforcement for frontdoor resources during manifest splitting.
- Refactored and optimized test cases to cover new validation and splitting functionality.
- Updated `_extract_k8s_docs` to use `yaml.safe_load_all` for improved parsing and reliability.
- Enhanced `_split_frontdoor_docs` with stricter validation of Deployment, Service, and Ingress specs.
- Added namespace enforcement for frontdoor resources during manifest splitting.
- Refactored and optimized test cases to cover new validation and splitting functionality.
- Introduced jemalloc hostPath optimizations with configurable modes (`auto`, `off`, `force`).
- Integrated jemalloc setup with best-effort and forced validation flows for ensuring cluster compatibility.
- Enhanced monitoring storage class logic with mode-specific handling (`k3s`, `k3d`, `gke`) and improved validation of required classes.
- Added safeguards and detailed logging for unsupported configurations and failure scenarios.
- Added `gke-gcloud-auth-plugin` as a required dependency for `linux/apt` environments.
- Enhanced GKE context acquisition with writable kubeconfig target resolution.
- Improved failure reporting with detailed messages for GKE dependency and context issues.
- Expanded test coverage for scenarios involving missing auth plugins, kubeconfig errors, and GKE configurations.
- Replaced static dependency configuration with dynamic resolution using `get_required_dependencies` and `get_required_dependency_ids`.
- Streamlined runtime checks, fallback behaviors, and handling of missing/optional dependencies.
- Hardened GKE context acquisition and validation for Kubernetes clusters.
- Enhanced test coverage for dependency resolution under various deployment modes (`dev`, `prod`, `gke`).
- Replaced static dependency configuration with dynamic resolution using `get_required_dependencies` and `get_required_dependency_ids`.
- Streamlined runtime checks, fallback behaviors, and handling of missing/optional dependencies.
- Hardened GKE context acquisition and validation for Kubernetes clusters.
- Enhanced test coverage for dependency resolution under various deployment modes (`dev`, `prod`, `gke`).
- Updated default paths, namespaces, and cluster names for k3d/dev configuration.
- Added `skip_names` set to exclude `prod.cfg` and `gcp.cfg` from override processing.
- Refined init parameters for Supabase, Kubernetes, and database deployments to align with dev-specific settings.
- Enhanced test coverage for excluded config files (`prod.cfg`, `gcp.cfg`) within `test_prole_conf.py`.
- Updated default paths, namespaces, and cluster names for k3d/dev configuration.
- Added `skip_names` set to exclude `prod.cfg` and `gcp.cfg` from override processing.
- Refined init parameters for Supabase, Kubernetes, and database deployments to align with dev-specific settings.
- Enhanced test coverage for excluded config files (`prod.cfg`, `gcp.cfg`) within `test_prole_conf.py`.
- Updated default paths, namespaces, and cluster names for k3d/dev configuration.
- Added `skip_names` set to exclude `prod.cfg` and `gcp.cfg` from override processing.
- Refined init parameters for Supabase, Kubernetes, and database deployments to align with dev-specific settings.
- Enhanced test coverage for excluded config files (`prod.cfg`, `gcp.cfg`) within `test_prole_conf.py`.
Rename env config files from conf/*/prole.cfg to conf/k3d.cfg, conf/k3s.cfg, and conf/gke.cfg. Update shell/Python loaders and etc/deploy scripts to resolve named configs cleanly while keeping legacy fallback behavior. Align k3s Ansible tasks, docs, and regression coverage with the new configuration layout.
Co-authored-by: Junie <junie@jetbrains.com>
Switch production config to k8s/GKE contexts and align service naming. Add immutable StatefulSet update fallback for Garage across k3d/k3s/k8s. Harden CNPG deploy and backup bootstrap paths, and update installer coverage for CNPG webhook and Garage common ops.
Co-authored-by: Junie <junie@jetbrains.com>
- Updated default paths, namespaces, and cluster names for k3d/dev configuration.
- Added `skip_names` set to exclude `prod.cfg` and `gcp.cfg` from override processing.
- Refined init parameters for Supabase, Kubernetes, and database deployments to align with dev-specific settings.
- Enhanced test coverage for excluded config files (`prod.cfg`, `gcp.cfg`) within `test_prole_conf.py`.
- Introduced support for dynamic GitLab and Supabase domain and ingress configuration based on deployment mode (k8s vs local).
- Default GitLab domain and ingress class aligned with `prole.cfg` deployment settings.
- Expanded Supabase support:
- Added configurable API and Studio hostnames with default fallbacks.
- Introduced separate ingress class configuration for API and Studio.
- Standardized public URL normalization for both services.
- Updated tests to validate domain, ingress, and configuration behaviors across environments.
- 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>
- 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>
- add tools/manage-node.sh for k3s node add/remove automation with inventory reconciliation
- include kubectl drain flag compatibility and --ssh-host targeting for uninstall workflows
- persist installer cfg/env values and update deploy/database/cfg UI handling
- refresh related inventory/network artifacts and expand installer/database test coverage
Co-authored-by: Junie <junie@jetbrains.com>
Update conf/service/prole.cfg to persist the k3s kube context as knoe.dev.prole.org and replace host-specific absolute paths with $HOME-based paths for portability.
Include all pending project changes: local_user role package and screenrc provisioning updates, plus tools/k3s-cluster-rename.sh and tests/etc/test_k3s_cluster_rename.sh.
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>
All active runtime paths that previously shelled out to etc/init_cloudnative_pg.sh
now dispatch through Python. The shell script has been removed from git.
New files:
- knoe/core/ops/cloudnative_pg.py: canonical Python owner for CNPG lifecycle with
public API (initialize, deploy, rollout, ensure_operator, pin_controller,
install_barman_plugin) and internal helpers (_apply_manifest, _wait_cnpg_pods,
_reconcile_instances, etc.)
- prole/tools/run_cnpg_coverage.py: coverage entry points for k3d/k3s modes,
report sub-command, and check-shell scanner to confirm no live Python dispatch
to the removed shell script
Modified files:
- knoe/core/actions.py: replace shell dispatch in _step_init_scripts,
_step_cnpg_deploy, and repair pipeline with Python calls
- knoe/core/milestones.py: replace shell dispatch in InitializationScriptsMilestone
and DeploymentMilestone
- knoe/ui/screens/services.py: replace shell dispatch for init-scripts step,
deploy button, and rollout button
- prole/deployment.py: replace shell dispatch in _run_post_apply_scripts
- status.py: remove init_cloudnative_pg.sh from _STATUS_SCRIPTS list
- tests/installer/test_actions_helpers.py: mock Python functions, assert shell
script is never dispatched
- tests/installer/test_milestones.py: same
- tests/installer/test_services_init_scripts.py: same
Removed:
- etc/init_cloudnative_pg.sh (git rm)
Verification:
- prole.tools.run_cnpg_coverage check-shell reports clean
- All 61 tests in the affected test files pass
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>
- detect local k3s node kubeconfig and skip kubectx/use-context mutation when already targeting local API\n- add configurable KUBE_CONTEXT_NAME resolution with compatibility fallbacks and switch only when required\n- update init scripts to use ensure_kube_context helper naming\n- broaden monitoring eligibility to discovered /synology/d### mounts so /synology/d004 qualifies\n- add focused kube-context and topology tests covering local/remote and read-only kubeconfig cases
Co-authored-by: Junie <junie@jetbrains.com>
- Introduced `test_init_cloudnative_pg_manifest_validation_fail_fast.sh` script.
- Ensures runtime validation and pod readiness wait are skipped if manifest validation fails.
- Added comprehensive mocks for tools (e.g., `kubectl`, `findmnt`) to simulate behavior.
- Updated script to include detailed error and debug logs during manifest validation steps.
- Adjusted function logic to handle manifest validation failures gracefully without proceeding further.
- set global MODE/DEPLOYMENT_MODE to k3s and remove cross-environment/prod cluster entries from active dev/service config paths\n- switch k3s prole-auth image references to myrddin.prole.org:5000\n- strengthen CNPG image resolution and test coverage for rewriting k3d/localhost registries in k3s mode\n- include updated port mapping/network snapshot and current k3d mode version metadata
Co-authored-by: Junie <junie@jetbrains.com>
Add storage ops for deterministic namespace+cluster local PV paths, labels/selectors, host-path preparation, and idempotent reconciliation before CNPG cluster apply.
Wire selector injection and validation into CNPG deploy flow/script, and extend installer tests for provisioning orchestration and failure handling.
Co-authored-by: Junie <junie@jetbrains.com>
- Introduce `cnpg_placement.py` to handle round-robin node assignments for CloudNativePG clusters.
- Implement persistent placement plans with schema normalization and hashing.
- Add `load_cnpg_placement_plan` and `save_cnpg_placement_plan` for plan persistence.
- Integrate planner with installer to support node-based topology configuration.
- Update `actions.py` with placement planning logic, including rebalance support and node eligibility checks.
- Extend shell utilities (`init_cloudnative_pg.sh`) for placement-aware CNPG topology adjustments.
- Add comprehensive unit tests and integration tests for planner functionality, persistence, and shell environment exports.
