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>
|
||
|---|---|---|
| .idea/runConfigurations | ||
| archive/2026-04-cnpg-and-gitlab-cleanup | ||
| authority | ||
| conf | ||
| demo | ||
| deploy | ||
| docs | ||
| etc | ||
| gitea | ||
| img | ||
| infrastructure | ||
| k3s | ||
| k8s | ||
| knoe | ||
| knoe-db | ||
| mock_val | ||
| modes | ||
| monitoring | ||
| scan | ||
| scripts | ||
| src | ||
| supabase | ||
| tests | ||
| tools | ||
| .coveragerc | ||
| .gitignore | ||
| .gitlab-ci.yml | ||
| AGENTS.md | ||
| ansible_min.cfg | ||
| ansible.cfg | ||
| ansible.sh | ||
| BUILD.md | ||
| CLAUDE.md | ||
| config.py | ||
| config.sh | ||
| deploy.sh | ||
| env.sh | ||
| Executing | ||
| install.py | ||
| install.sh | ||
| knoe-db.iml | ||
| knoe.iml | ||
| knoe.sh | ||
| knoe.spec | ||
| LICENSE | ||
| Makefile | ||
| pom.xml | ||
| pyproject.toml | ||
| qodana.yaml | ||
| README.md | ||
| requirements-test.txt | ||
| requirements.txt | ||
| run_with_coverage.sh | ||
| status.py | ||
| supabase.sh | ||
| update.sh | ||
Knoe
Knoe makes it practical to run a Supabase-style platform across air-gapped, edge, and cloud environments.
It packages the core building blocks needed for a modern internal developer platform around PostgreSQL, object storage, secrets, auth, observability, and Kubernetes-native operations — with a bias toward simple deployment, shard-based scale-out, and deterministic ingestion.
Platform badges
What Knoe is
Knoe is an infrastructure stack for running a Supabase-like data and application platform across constrained, sovereign, and cloud environments, including:
- air-gapped networks
- edge and small-cluster deployments (K3s, K3d)
- Google Cloud Platform (GCP) deployments
- sovereign or private data environments
- disconnected labs and field systems
- internal platforms where cloud dependencies are undesirable
The design goal is not to mimic Supabase branding or every managed feature exactly.
The design goal is to provide the useful substrate people actually want:
- PostgreSQL as the center of gravity
- object storage
- auth integration
- secret management
- ingress and service exposure
- observability
- reproducible Kubernetes deployment
- application and worker services around the database
- ingestion patterns that are safe, resumable, and idempotent
Core idea
Knoe can run Supabase-style workloads in an air gap, on the edge, or in the cloud.
That means:
- PostgreSQL remains the system of record, managed as
knoe-dbwithin theknoe-systemnamespace - services are deployed on Kubernetes (K3d locally, K3s on-prem, GKE on GCP)
- auth can come from local identity systems or cloud OIDC where available
- object storage stays inside the environment
- secrets stay inside the environment
- ingestion does not depend on live internet services
- the stack can be deployed in shards for locality, resilience, and operational simplicity
Main components
Application layer
- Next.js app for the user-facing platform
- knoe-agent worker for async and background execution
Data layer
- knoe-db — CloudNativePG-managed PostgreSQL cluster in the
knoe-systemnamespace - PostgreSQL as the primary relational store
- append-only fact tables for durable ingestion and replay-friendly modeling
- PostgreSQL COPY for efficient bulk ingest
Deployed add-ons
- Supabase — self-hosted Supabase stack for auth, realtime, storage, and API gateway
- ArgoCD — GitOps continuous delivery for the
knoe-systemcluster - Gitea — lightweight self-hosted Git service
- GitLab — full-featured self-hosted DevOps platform
Storage and secrets
- Garage for S3-compatible object storage
- OpenBao for secret storage and secret distribution
Identity
- Dev auth: Samba AD + IdP
- Cloud auth: Google Workspace OIDC
Observability
- Vector for log and event shipping
- Prometheus / Grafana for metrics and dashboards
Platform operations
- K3d — local development clusters
- K3s — on-prem lightweight Kubernetes
- GCP / GKE — cloud-hosted cluster tier
- Helm
- ArgoCD
- Ansible
- OpenTofu
Ingestion model
Knoe is designed around deterministic, replayable ingestion.
Key patterns:
- SQLite delta cartridges as portable input units
- append-only fact tables for auditability and recovery
- PostgreSQL COPY for high-throughput loading
- queue-driven workers using
SKIP LOCKED - idempotent ingestion so retries are safe
- shard-based deployment so data movement stays deliberate and bounded
This makes the platform well suited to environments where data may arrive in batches, be transferred physically, or need careful replay and provenance.
Architecture at a glance
flowchart LR
subgraph Clients
U["Users / Operators"]
end
subgraph knoe-system ["knoe-system (Kubernetes)"]
A["Next.js App"]
W["knoe-agent worker"]
SB["Supabase\n(auth · realtime · storage · API)"]
ARGO["ArgoCD\n(GitOps)"]
GITEA["Gitea\n(Git)"]
GITLAB["GitLab\n(DevOps)"]
PG["knoe-db\n(CloudNativePG / PostgreSQL)"]
OBJ["Garage\n(Object Store)"]
SEC["OpenBao\n(Secrets)"]
OBS["Vector / Prometheus / Grafana\n(Observability)"]
ING["Traefik / Kong\n(Ingress)"]
end
subgraph Infra ["Infrastructure"]
K3D["K3d\n(local dev)"]
K3S["K3s\n(on-prem)"]
GCP["GCP / GKE\n(cloud)"]
end
subgraph Identity
AUTH["Samba AD / Google Workspace OIDC"]
end
U --> ING
ING --> A
ING --> SB
ING --> ARGO
ING --> GITEA
ING --> GITLAB
A --> PG
A --> OBJ
A --> SEC
A --> AUTH
W --> PG
W --> OBJ
W --> SEC
SB --> PG
SB --> OBJ
SB --> AUTH
ARGO --> A
ARGO --> W
ARGO --> SB
ARGO --> PG
ARGO --> OBJ
ARGO --> SEC
GITEA --> ARGO
GITLAB --> ARGO
K3D & K3S & GCP --> |hosts| knoe-system
OBS -.-> PG
OBS -.-> A
OBS -.-> W
Deployment model
Knoe favors simple, understandable deployment over excessive platform ceremony.
Typical characteristics:
- Kubernetes-native deployment across K3d (local), K3s (on-prem), and GCP (cloud)
- lightweight K3s/K3d-friendly footprint
- HA where it matters
- shard-oriented layout instead of one giant control surface
- GitOps-driven operations via ArgoCD, backed by Gitea or GitLab
- support for small clusters, including Pi-based or edge environments
Use cases
Knoe is a good fit for teams that need:
- a PostgreSQL-centered application stack inside a disconnected or sovereign environment
- a self-hosted substrate for Supabase-style internal platforms
- ingestion from offline or intermittently connected sources
- reproducible deployment on small Kubernetes clusters (K3s/K3d) or GCP
- strong control over secrets, storage, and identity boundaries
- a full GitOps workflow with ArgoCD, Gitea, and GitLab
Project principles
- Air-gap first
- Postgres first
- Simple over ornate
- Deterministic ingestion
- Kubernetes-native
- Shard-friendly
- Operationally boring where possible
Repository scope
This repository contains the infrastructure and platform materials used to stand up Knoe components, including Kubernetes deployment, database operations (knoe-db in knoe-system), storage, auth, observability, and supporting services.
As the project evolves, this README should stay focused on:
- what Knoe is
- why it exists
- the major building blocks
- the deployment model
- the operational philosophy
Detailed setup docs, cluster procedures, and host-specific notes should live in dedicated documents under docs/, ops/, k8s/, or role-specific subdirectories rather than expanding this file indefinitely.
Status
Knoe is an actively evolving platform stack aimed at practical self-hosted, edge, and cloud operation.
Expect the architecture to continue being refined toward:
- cleaner bootstrapping
- better shard isolation
- smoother rejoin/reset behavior for cluster nodes
- clearer service boundaries
- improved onboarding and operations documentation
License
Add the project license here.