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blumeops/argocd/manifests/teslamate/README.md
Erich Blume 272ddb213b Add TeslaMate deployment for Tesla Model Y data logging (#47) 
## Summary
- Add TeslaMate k8s deployment with Tailscale ingress at tesla.tail8d86e.ts.net
- Add teslamate user to CloudNativePG blumeops-pg cluster
- Add TeslaMate PostgreSQL datasource to Grafana
- Import 18 TeslaMate Grafana dashboards for charging, drives, efficiency, etc.
- Add teslamate database to borgmatic backup configuration

## Deployment and Testing
- [ ] Create 1Password items: "TeslaMate DB Password" and "TeslaMate Encryption Key"
- [ ] Apply database user secret: `op inject -i argocd/manifests/databases/secret-teslamate.yaml.tpl | kubectl apply -f -`
- [ ] Sync blumeops-pg: `argocd app sync blumeops-pg`
- [ ] Create teslamate database
- [ ] Apply teslamate secrets (encryption key, db connection)
- [ ] Apply Grafana datasource secret: `op inject -i argocd/manifests/grafana-config/secret-teslamate-datasource.yaml.tpl | kubectl apply -f -`
- [ ] Sync apps and teslamate: `argocd app sync apps teslamate grafana grafana-config`
- [ ] Complete Tesla API OAuth flow at https://tesla.tail8d86e.ts.net
- [ ] Verify data collection starts
- [ ] Verify Grafana dashboards show data

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Reviewed-on: https://forge.tail8d86e.ts.net/eblume/blumeops/pulls/47
2026-01-22 21:25:44 -08:00

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TeslaMate

TeslaMate is a self-hosted Tesla data logger that collects and visualizes vehicle data.

Prerequisites

1. Create 1Password Secrets

Create two items in the blumeops 1Password vault:

  1. TeslaMate DB Password

    • Generate a secure password for the teslamate PostgreSQL user
    • Add a field named password with the generated value

  2. TeslaMate Encryption Key

    • Generate with: openssl rand -base64 32
    • Add a field named key with the generated value
    • This encrypts Tesla API tokens at rest in the database

2. Apply Kubernetes Secrets

# Create namespace
kubectl create namespace teslamate

# Apply database user secret (for CNPG)
op inject -i argocd/manifests/databases/secret-teslamate.yaml.tpl | kubectl apply -f -

# Apply teslamate secrets
op inject -i argocd/manifests/teslamate/secret-encryption-key.yaml.tpl | kubectl apply -f -
op inject -i argocd/manifests/teslamate/secret-db.yaml.tpl | kubectl apply -f -

3. Create Database

After the teslamate user exists in PostgreSQL (sync blumeops-pg first):

PGPASSWORD=$(op --vault blumeops item get <eblume-item-id> --fields password --reveal) \
  psql -h pg.tail8d86e.ts.net -U eblume -c "CREATE DATABASE teslamate OWNER teslamate;"

Deployment

# Sync ArgoCD apps
argocd app sync apps
argocd app sync blumeops-pg teslamate grafana grafana-config

Tesla API Setup

  1. Access TeslaMate UI at https://tesla.tail8d86e.ts.net
  2. Click "Sign in with Tesla"
  3. Complete OAuth flow in browser
  4. Tokens are encrypted and stored in database
  5. Verify vehicle appears and data collection starts

Grafana Dashboards

TeslaMate dashboards are available in Grafana at https://grafana.tail8d86e.ts.net

They use the "TeslaMate" PostgreSQL datasource (not Prometheus).

Notes

  • MQTT is disabled (can be enabled later for Home Assistant integration)
  • Timezone is set to America/Los_Angeles
  • Encryption key protects Tesla API tokens at rest