## 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
69 lines
1.9 KiB
Markdown
69 lines
1.9 KiB
Markdown
# TeslaMate
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TeslaMate is a self-hosted Tesla data logger that collects and visualizes vehicle data.
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## Prerequisites
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### 1. Create 1Password Secrets
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Create two items in the blumeops 1Password vault:
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1. **TeslaMate DB Password**
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- Generate a secure password for the teslamate PostgreSQL user
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- Add a field named `password` with the generated value
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2. **TeslaMate Encryption Key**
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- Generate with: `openssl rand -base64 32`
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- Add a field named `key` with the generated value
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- This encrypts Tesla API tokens at rest in the database
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### 2. Apply Kubernetes Secrets
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```bash
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# Create namespace
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kubectl create namespace teslamate
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# Apply database user secret (for CNPG)
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op inject -i argocd/manifests/databases/secret-teslamate.yaml.tpl | kubectl apply -f -
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# Apply teslamate secrets
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op inject -i argocd/manifests/teslamate/secret-encryption-key.yaml.tpl | kubectl apply -f -
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op inject -i argocd/manifests/teslamate/secret-db.yaml.tpl | kubectl apply -f -
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```
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### 3. Create Database
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After the teslamate user exists in PostgreSQL (sync blumeops-pg first):
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```bash
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PGPASSWORD=$(op --vault blumeops item get <eblume-item-id> --fields password --reveal) \
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psql -h pg.tail8d86e.ts.net -U eblume -c "CREATE DATABASE teslamate OWNER teslamate;"
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```
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## Deployment
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```bash
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# Sync ArgoCD apps
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argocd app sync apps
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argocd app sync blumeops-pg teslamate grafana grafana-config
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```
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## Tesla API Setup
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1. Access TeslaMate UI at https://tesla.tail8d86e.ts.net
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2. Click "Sign in with Tesla"
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3. Complete OAuth flow in browser
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4. Tokens are encrypted and stored in database
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5. Verify vehicle appears and data collection starts
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## Grafana Dashboards
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TeslaMate dashboards are available in Grafana at https://grafana.tail8d86e.ts.net
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They use the "TeslaMate" PostgreSQL datasource (not Prometheus).
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## Notes
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- MQTT is disabled (can be enabled later for Home Assistant integration)
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- Timezone is set to America/Los_Angeles
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- Encryption key protects Tesla API tokens at rest
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