ZacharyZhang-NY
e74dafcd36
Three independently ugly bugs that all fed the same log flood:
* Electron's `WebFrameMain.send` writes every "Render frame was disposed"
to stderr via `console.error`. When the worker fans a second
agent-event past a reloading renderer, we produced thousands of
identical lines and stalled the main loop on stderr I/O. Added a
`mainFrame.detached` guard so the send is short-circuited before
Electron's own catch block fires, and installed a targeted filter in
`suppress-warnings.ts` (now actually imported from the entry point)
so the specific `console.error("Error sending from webFrameMain:"…)`
noise never reaches the terminal. Any other payload still surfaces.
* `dispatchAgentMessage` accepted the human-reader sentinel as a wake
target when an agent replied to `__board__` — `wakeAgentIfPossible`
then called `db.getAgent("__board__")`, threw, and the dispatcher
kept repeating on every send. Strip `HUMAN_SENDER_ID` at
`resolveMessageWakeTargets`, and keep a defense-in-depth guard in the
heartbeat so a stray caller (future automation fan-out) cannot
reintroduce the crash.
* Pi's skills loader rejects any SKILL.md whose frontmatter `name`
diverges from its parent directory. The four bundled `my-writing-style`
copies declared `name: writing-style-skill`, so every install emitted
a warning and dropped the skill. They also lived as orphan gitlinks
(mode 160000 without .gitmodules), and the global `*.md` gitignore
hid every other SKILL.md from version control. Fixed the frontmatter
to match the dir, converted the dangling submodules to plain trees,
and allowlisted `builtin-skills/**/*.md` so a fresh clone carries the
catalogue instead of silently losing it.
3.0 KiB
3.0 KiB
Kubernetes Manifests
Complete Deployment Stack
apiVersion: apps/v1
kind: Deployment
metadata:
name: app
labels:
app: app
spec:
replicas: 3
selector:
matchLabels:
app: app
template:
metadata:
labels:
app: app
spec:
containers:
- name: app
image: ghcr.io/org/app:latest
ports:
- containerPort: 3000
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 10
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: app-secrets
key: database-url
---
apiVersion: v1
kind: Service
metadata:
name: app
spec:
selector:
app: app
ports:
- port: 80
targetPort: 3000
type: ClusterIP
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: app
annotations:
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
ingressClassName: nginx
tls:
- hosts: [app.example.com]
secretName: app-tls
rules:
- host: app.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: app
port:
number: 80
ConfigMap and Secrets
apiVersion: v1
kind: ConfigMap
metadata:
name: app-config
data:
LOG_LEVEL: "info"
API_TIMEOUT: "30s"
---
apiVersion: v1
kind: Secret
metadata:
name: app-secrets
type: Opaque
stringData:
database-url: "postgres://user:pass@host:5432/db"
Horizontal Pod Autoscaler
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: app-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: app
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
Quick Reference
| Resource | Purpose |
|---|---|
| Deployment | Manages ReplicaSets, rolling updates |
| Service | Internal load balancing, DNS |
| Ingress | External HTTP/HTTPS routing |
| ConfigMap | Non-sensitive configuration |
| Secret | Sensitive data (base64 encoded) |
| HPA | Auto-scaling based on metrics |
| PVC | Persistent storage claims |
Common kubectl Commands
kubectl apply -f deployment.yaml
kubectl get pods -l app=app
kubectl describe pod <pod-name>
kubectl logs -f <pod-name>
kubectl exec -it <pod-name> -- /bin/sh
kubectl rollout status deployment/app
kubectl rollout undo deployment/app