I have added a lot of changes from various ai sessions
This commit is contained in:
Moritz Graf
@@ -0,0 +1,164 @@
|
||||
# AGENTS.md — Monitoring Folder Guide for AI Agents
|
||||
|
||||
## Overview
|
||||
|
||||
This folder manages the **kube-prometheus-stack** deployment and **Grafana dashboards as code** for the `haumdaucher` Kubernetes cluster. The monitoring stack runs in the `monitoring` namespace.
|
||||
|
||||
## Folder Structure
|
||||
|
||||
```
|
||||
monitoring/
|
||||
├── AGENTS.md ← You are here
|
||||
├── README.md ← Human-oriented deployment guide
|
||||
├── DASHBOARD_CREATION.md ← How to create/update dashboards (read this!)
|
||||
├── prometheus-operator.secret.yml ← Helm values for kube-prometheus-stack
|
||||
├── alertmanagerconfig.secret.yaml ← Alertmanager config (Telegram alerts)
|
||||
├── servicemonitor.secret.yml ← ServiceMonitor examples (commented out)
|
||||
├── tankerkoenig.yml ← Tankerkoenig fuel price exporter
|
||||
├── dashboards/ ← Grafana dashboards as ConfigMaps
|
||||
│ ├── grafana-dashboard-home-climate.yaml
|
||||
│ ├── grafana-dashboard-energy-monitor.yaml
|
||||
│ ├── grafana-dashboard-heating-gas.yaml
|
||||
│ └── grafana-dashboard-outdoor-weather.yaml
|
||||
└── scripts/ ← Discovery & helper scripts
|
||||
├── discover-influxdb.sh ← Query InfluxDB schema
|
||||
└── discover-home-assistant.sh ← Query Home Assistant entities
|
||||
```
|
||||
|
||||
## Key Infrastructure Context
|
||||
|
||||
### Namespaces & Services
|
||||
|
||||
| Namespace | Service | Purpose |
|
||||
|-----------|---------|---------|
|
||||
| `monitoring` | kube-prometheus-stack | Prometheus, Alertmanager, Grafana |
|
||||
| `influxdb` | InfluxDB2 | Time-series storage for Home Assistant sensor data |
|
||||
| `home-assistant` | Home Assistant | Smart home hub, writes sensor data to InfluxDB |
|
||||
|
||||
### Data Flow
|
||||
|
||||
```
|
||||
Home Assistant sensors → InfluxDB (bucket: default, org: influxdata)
|
||||
↓
|
||||
Grafana (Flux queries via datasource)
|
||||
```
|
||||
|
||||
### Grafana Datasources
|
||||
|
||||
| Name | UID | Type | URL |
|
||||
|------|-----|------|-----|
|
||||
| InfluxDB Home Assistant | `P2AB959DC95E5519F` | influxdb (Flux) | `http://influxdb-influxdb2.influxdb.svc.cluster.local:80` |
|
||||
| InfluxDB Home Assistant InfluxQL | `P86455D1023ECC470` | influxdb (InfluxQL) | same |
|
||||
| Prometheus | `prometheus` | prometheus | internal |
|
||||
|
||||
> **⚠️ IMPORTANT**: The datasource UIDs above are the **current** values. If the Grafana deployment is recreated, these UIDs will change. Always re-discover UIDs via `kubectl -n monitoring exec deploy/prometheus-operator-grafana -c grafana -- curl -s -u "admin:<password>" http://localhost:3000/api/datasources` before creating new dashboards.
|
||||
|
||||
### Grafana Admin Credentials
|
||||
|
||||
- URL: `https://grafana.haumdaucher.de`
|
||||
- User: `admin`
|
||||
- Password: stored in `prometheus-operator.secret.yml` under `grafana.adminPassword`
|
||||
|
||||
### Home Assistant API
|
||||
|
||||
- URL: `https://hass.moritzgraf.de`
|
||||
- Token: stored in `../home-assistant/tmp_long_lived_token.secret.yml`
|
||||
|
||||
### InfluxDB API
|
||||
|
||||
- Internal URL: `http://influxdb-influxdb2.influxdb.svc.cluster.local:80`
|
||||
- Org: `influxdata`
|
||||
- Bucket: `default`
|
||||
- Token: stored in `prometheus-operator.secret.yml` under `grafana.additionalDataSources[0].secureJsonData.token`
|
||||
|
||||
## Dashboard Architecture
|
||||
|
||||
Dashboards are managed as **Kubernetes ConfigMaps** with the label `grafana_dashboard: "1"`. The kube-prometheus-stack's **Grafana Dashboard Sidecar** (`grafana-sc-dashboard` container) watches for these ConfigMaps and auto-loads them into Grafana.
|
||||
|
||||
### Key Design Decisions
|
||||
|
||||
1. **One file per dashboard** — Each ConfigMap YAML contains the dashboard JSON embedded directly in `data`. No separate JSON files (avoids duplication).
|
||||
2. **Strict GitOps** — Dashboards are `editable: false` in Grafana UI. All changes must be made to the YAML files and re-applied.
|
||||
3. **Namespace-scoped** — Sidecar only watches the `monitoring` namespace (`searchNamespace: monitoring`).
|
||||
4. **Folder annotation** — Use `grafana_dashboard_folder` annotation to organize dashboards in Grafana folders.
|
||||
|
||||
### ConfigMap Template
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-<name>
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: "1"
|
||||
annotations:
|
||||
grafana_dashboard_folder: "🏠 Home"
|
||||
data:
|
||||
<name>.json: |
|
||||
{
|
||||
"uid": "<unique-uid>",
|
||||
"title": "<Dashboard Title>",
|
||||
...
|
||||
}
|
||||
```
|
||||
|
||||
## InfluxDB Data Schema
|
||||
|
||||
Home Assistant writes sensor data to InfluxDB with this structure:
|
||||
|
||||
- **Measurement name** = unit of measurement (e.g., `°C`, `%`, `W`, `kWh`, `m³`, `hPa`, `km/h`, `mm/h`)
|
||||
- **Fields**: `value` (numeric), plus metadata fields (`friendly_name_str`, `device_class_str`, `id_str`, etc.)
|
||||
- **Tags**: `entity_id` (e.g., `home_wohnzimmer_temperature` — **NOTE: no `sensor.` prefix!**), `domain` (e.g., `sensor`)
|
||||
|
||||
### Flux Query Pattern (MUST follow this exactly)
|
||||
|
||||
**Exact match on entity_id:**
|
||||
```flux
|
||||
from(bucket: "default")
|
||||
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|
||||
|> filter(fn: (r) => r["_measurement"] == "°C")
|
||||
|> filter(fn: (r) => r["_field"] == "value")
|
||||
|> filter(fn: (r) => r.entity_id == "home_wandthermostat_bad_temperature")
|
||||
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|
||||
|> yield(name: "mean")
|
||||
```
|
||||
|
||||
**Regex match on entity_id** (use `=~` operator with `/pattern/`):
|
||||
```flux
|
||||
from(bucket: "default")
|
||||
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|
||||
|> filter(fn: (r) => r["_measurement"] == "°C")
|
||||
|> filter(fn: (r) => r["_field"] == "value")
|
||||
|> filter(fn: (r) => r.entity_id =~ /^home_/)
|
||||
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|
||||
|> yield(name: "mean")
|
||||
```
|
||||
|
||||
**Critical rules:**
|
||||
- Always use bracket notation: `r["_measurement"]`, `r["_field"]` (fields starting with `_`)
|
||||
- Always use dynamic time: `range(start: v.timeRangeStart, stop: v.timeRangeStop)` and `aggregateWindow(every: v.windowPeriod, ...)`
|
||||
- Always end with `|> yield(name: "mean")`
|
||||
- **entity_id in InfluxDB does NOT have the `sensor.` prefix** — use `home_wohnzimmer_temperature`, NOT `sensor.home_wohnzimmer_temperature`
|
||||
- For "current value" stat panels, use `range(start: -15m)` with `last()` instead of aggregateWindow
|
||||
- Regex operator is `=~` with `/pattern/` syntax (e.g., `=~ /^home_/` matches all entities starting with `home_`)
|
||||
|
||||
## Common Pitfalls (Lessons Learned)
|
||||
|
||||
1. **Entity IDs have no `sensor.` prefix in InfluxDB** — HA stores domain separately. Use `home_wohnzimmer_temperature`, not `sensor.home_wohnzimmer_temperature`. This is the #1 cause of "no data".
|
||||
2. **Dashboard JSON must NOT be wrapped in `"dashboard"` key** — Grafana file provisioning expects top-level properties (`uid`, `title`, `panels`, etc.). The `"dashboard"` wrapper is only used in the HTTP API.
|
||||
3. **Datasource reference must use actual UID** — Discover via `kubectl exec` + Grafana API. Current UID: `P2AB959DC95E5519F`.
|
||||
4. **Don't add `uid` to helm datasource config** — Adding `uid` to existing datasources in `additionalDataSources` causes Grafana provisioning to fail with "data source not found". Let UIDs be auto-generated.
|
||||
5. **Always use bracket notation for `_measurement` and `_field`** — Use `r["_measurement"]` and `r["_field"]`, not dot notation. Fields starting with underscore may not resolve with dot notation in Flux.
|
||||
6. **Always use Grafana time variables** — Never hardcode `range(start: -24h)` or `aggregateWindow(every: 5m)`. Always use `v.timeRangeStart`, `v.timeRangeStop`, `v.windowPeriod`.
|
||||
7. **Always add `yield(name: "mean")`** — Required for Grafana to properly parse Flux results.
|
||||
8. **InfluxDB has multiple fields per measurement** — Always filter `r["_field"] == "value"` to get numeric data.
|
||||
9. **Sidecar container name is `grafana-sc-dashboard`** (singular), not `grafana-sc-dashboards`.
|
||||
10. **Use Wandthermostat entities for temperature/humidity** — Query HA to filter by device type. Wandthermostat entities have `wandthermostat` or `thermostat` in their entity_id.
|
||||
|
||||
## Related Files Outside This Folder
|
||||
|
||||
- `../home-assistant/home-assistant.secret.yaml` — HA helm values (InfluxDB integration config)
|
||||
- `../home-assistant/tmp_long_lived_token.secret.yml` — HA API token for discovery
|
||||
- `../influxdb/influxdb2.secret.yml` — InfluxDB helm values
|
||||
- `../../kochbuch/plans/grafana-dashboards-as-code.md` — Original architecture plan
|
||||
@@ -0,0 +1,326 @@
|
||||
# DASHBOARD_CREATION.md — How to Create & Update Grafana Dashboards
|
||||
|
||||
> **Linked from**: [AGENTS.md](AGENTS.md)
|
||||
|
||||
This document captures the exact process used to create the Grafana dashboards in this folder, including all pitfalls encountered and lessons learned. Use this as a reference when creating new dashboards or updating existing ones.
|
||||
|
||||
---
|
||||
|
||||
## Step-by-Step Dashboard Creation Process
|
||||
|
||||
### Step 1: Discovery — Find Available Metrics
|
||||
|
||||
Before creating any dashboard, discover what data actually exists:
|
||||
|
||||
#### 1a. Query Home Assistant for Entity Metadata
|
||||
|
||||
```bash
|
||||
# Get all entities with their friendly names, units, and device classes
|
||||
curl -s -H "Authorization: Bearer <HA_TOKEN>" \
|
||||
https://hass.moritzgraf.de/api/states | \
|
||||
jq '[.[] | select(.attributes.unit_of_measurement != null) | {
|
||||
entity_id,
|
||||
unit: .attributes.unit_of_measurement,
|
||||
friendly_name: (.attributes.friendly_name // ""),
|
||||
device_class: (.attributes.device_class // "")
|
||||
}] | group_by(.unit)'
|
||||
```
|
||||
|
||||
Or use the helper script: `./scripts/discover-home-assistant.sh`
|
||||
|
||||
#### 1b. Query InfluxDB for Measurements and Schema
|
||||
|
||||
```bash
|
||||
# Port-forward to InfluxDB (no ingress configured)
|
||||
kubectl -n influxdb port-forward svc/influxdb-influxdb2 8086:80
|
||||
|
||||
# List measurements with data in last 6 months
|
||||
curl -s "http://localhost:8086/api/v2/query?org=influxdata" \
|
||||
-H "Authorization: Token <INFLUXDB_TOKEN>" \
|
||||
-H "Content-Type: application/vnd.flux" \
|
||||
-d 'from(bucket: "default")
|
||||
|> range(start: -6mo)
|
||||
|> keep(columns: ["_measurement"])
|
||||
|> distinct()
|
||||
|> sort()'
|
||||
|
||||
# For a specific measurement, get fields and tags
|
||||
curl -s "http://localhost:8086/api/v2/query?org=influxdata" \
|
||||
-H "Authorization: Token <INFLUXDB_TOKEN>" \
|
||||
-H "Content-Type: application/vnd.flux" \
|
||||
-d 'import "influxdata/influxdb/schema"
|
||||
schema.measurementFieldKeys(bucket: "default", measurement: "°C")'
|
||||
```
|
||||
|
||||
Or use: `./scripts/discover-influxdb.sh`
|
||||
|
||||
#### 1c. Verify Data Exists
|
||||
|
||||
Always test a sample query before building dashboards:
|
||||
|
||||
```bash
|
||||
curl -s "http://localhost:8086/api/v2/query?org=influxdata" \
|
||||
-H "Authorization: Token <INFLUXDB_TOKEN>" \
|
||||
-H "Content-Type: application/vnd.flux" \
|
||||
-d 'from(bucket: "default")
|
||||
|> range(start: -1h)
|
||||
|> filter(fn: (r) => r._measurement == "°C" and r._field == "value")
|
||||
|> limit(n: 5)'
|
||||
```
|
||||
|
||||
### Step 2: Discover Grafana Datasource UIDs
|
||||
|
||||
Datasource UIDs change when Grafana is redeployed. Always discover the current UIDs:
|
||||
|
||||
```bash
|
||||
kubectl -n monitoring exec deploy/prometheus-operator-grafana -c grafana -- \
|
||||
curl -s -u "admin:<GRAFANA_PASSWORD>" \
|
||||
http://localhost:3000/api/datasources | \
|
||||
jq '.[] | {name, uid, type}'
|
||||
```
|
||||
|
||||
The Grafana admin password is in [`prometheus-operator.secret.yml`](prometheus-operator.secret.yml) under `grafana.adminPassword`.
|
||||
|
||||
### Step 3: Select the Right Entities
|
||||
|
||||
**Important**: Not all sensors of the same type are equal. For example:
|
||||
- Use **Wandthermostat** (wall thermostat) entities for temperature/humidity, not raw sensor entities. Wandthermostats provide more reliable, calibrated readings.
|
||||
- Query Home Assistant to filter by entity name pattern or device type.
|
||||
|
||||
```bash
|
||||
# Find all Wandthermostat temperature sensors
|
||||
curl -s -H "Authorization: Bearer <HA_TOKEN>" \
|
||||
https://hass.moritzgraf.de/api/states | \
|
||||
jq '[.[] | select(.attributes.unit_of_measurement == "°C" and
|
||||
(.entity_id | test("wandthermostat|thermostat"; "i")))]'
|
||||
```
|
||||
|
||||
### Step 4: Create the Dashboard ConfigMap YAML
|
||||
|
||||
Create a new file in `dashboards/` following this template:
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-<name>
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: "1"
|
||||
annotations:
|
||||
grafana_dashboard_folder: "🏠 Home"
|
||||
data:
|
||||
<name>.json: |
|
||||
{
|
||||
"uid": "<unique-uid>",
|
||||
"title": "<Dashboard Title>",
|
||||
"tags": ["home", "<category>", "auto-generated"],
|
||||
"timezone": "browser",
|
||||
"schemaVersion": 39,
|
||||
"version": 1,
|
||||
"refresh": "5m",
|
||||
"editable": false,
|
||||
"graphTooltip": 1,
|
||||
"time": { "from": "now-24h", "to": "now" },
|
||||
"panels": [ ... ]
|
||||
}
|
||||
```
|
||||
|
||||
#### Critical JSON Structure Rules
|
||||
|
||||
**✅ CORRECT** (top-level properties, no wrapper):
|
||||
```json
|
||||
{
|
||||
"uid": "my-dashboard",
|
||||
"title": "My Dashboard",
|
||||
"panels": [...]
|
||||
}
|
||||
```
|
||||
|
||||
**❌ WRONG** (wrapped in "dashboard" key — causes "Dashboard title cannot be empty"):
|
||||
```json
|
||||
{
|
||||
"dashboard": {
|
||||
"uid": "my-dashboard",
|
||||
"title": "My Dashboard",
|
||||
"panels": [...]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The `"dashboard"` wrapper is **only** used in the Grafana HTTP API (`/api/dashboards/db`). For file-based provisioning via the sidecar, properties must be at the top level.
|
||||
|
||||
#### Datasource Reference
|
||||
|
||||
**✅ CORRECT** (by actual UID):
|
||||
```json
|
||||
"datasource": { "type": "influxdb", "uid": "P2AB959DC95E5519F" }
|
||||
```
|
||||
|
||||
**❌ WRONG** (by name — won't resolve):
|
||||
```json
|
||||
"datasource": { "type": "influxdb", "uid": "InfluxDB Home Assistant" }
|
||||
```
|
||||
|
||||
#### Flux Query Template
|
||||
|
||||
**Exact match on entity_id:**
|
||||
```flux
|
||||
from(bucket: "default")
|
||||
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|
||||
|> filter(fn: (r) => r["_measurement"] == "<UNIT>" and r["_field"] == "value")
|
||||
|> filter(fn: (r) => r.entity_id == "<ENTITY_ID>")
|
||||
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|
||||
|> yield(name: "mean")
|
||||
```
|
||||
|
||||
**Regex match on entity_id** (for panels showing multiple entities matching a pattern):
|
||||
```flux
|
||||
from(bucket: "default")
|
||||
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|
||||
|> filter(fn: (r) => r["_measurement"] == "<UNIT>" and r["_field"] == "value")
|
||||
|> filter(fn: (r) => r.entity_id =~ /^home_/)
|
||||
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|
||||
|> yield(name: "mean")
|
||||
```
|
||||
|
||||
**Current value** (for stat panels showing last reading):
|
||||
```flux
|
||||
from(bucket: "default")
|
||||
|> range(start: -15m)
|
||||
|> filter(fn: (r) => r["_measurement"] == "<UNIT>" and r["_field"] == "value")
|
||||
|> filter(fn: (r) => r.entity_id == "<ENTITY_ID>")
|
||||
|> last()
|
||||
|> yield(name: "mean")
|
||||
```
|
||||
|
||||
**Key points**:
|
||||
- Use bracket notation `r["_measurement"]`, `r["_field"]` for fields starting with underscore.
|
||||
- **entity_id in InfluxDB has NO `sensor.` prefix** — HA stores domain in a separate `domain` tag. Use `home_wohnzimmer_temperature`, not `sensor.home_wohnzimmer_temperature`.
|
||||
- Always use `v.timeRangeStart`, `v.timeRangeStop`, `v.windowPeriod` — never hardcode time values.
|
||||
- Always end with `|> yield(name: "mean")` — required for Grafana to parse Flux results.
|
||||
- Use regex `=~ /pattern/` for multi-entity panels (e.g., `=~ /^home_/` matches all home entities).
|
||||
- Always filter `r["_field"] == "value"` — InfluxDB stores metadata strings in other fields.
|
||||
|
||||
### Step 5: Deploy
|
||||
|
||||
```bash
|
||||
# Apply all dashboards
|
||||
kubectl apply -f dashboards/
|
||||
|
||||
# Apply a single dashboard
|
||||
kubectl apply -f dashboards/grafana-dashboard-<name>.yaml
|
||||
```
|
||||
|
||||
### Step 6: Verify
|
||||
|
||||
```bash
|
||||
# Check ConfigMaps are labeled correctly
|
||||
kubectl get configmaps -n monitoring -l grafana_dashboard=1
|
||||
|
||||
# Check sidecar logs (container name is grafana-sc-dashboard, singular!)
|
||||
kubectl -n monitoring logs -l "app.kubernetes.io/name=grafana" \
|
||||
-c grafana-sc-dashboard --tail=20
|
||||
|
||||
# Check Grafana main logs for errors
|
||||
kubectl -n monitoring logs -l "app.kubernetes.io/name=grafana" \
|
||||
-c grafana --tail=30 | grep -i "error\|failed"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Update Process (Modifying an Existing Dashboard)
|
||||
|
||||
1. Edit the YAML file in `dashboards/`
|
||||
2. Increment the `version` field in the dashboard JSON
|
||||
3. Run `kubectl apply -f dashboards/grafana-dashboard-<name>.yaml`
|
||||
4. The sidecar will detect the change and reload within ~60 seconds
|
||||
5. Verify in Grafana UI
|
||||
|
||||
**Never edit dashboards in the Grafana UI** — they are `editable: false`. All changes must go through the YAML files.
|
||||
|
||||
---
|
||||
|
||||
## Removing a Dashboard
|
||||
|
||||
```bash
|
||||
kubectl delete configmap -n monitoring grafana-dashboard-<name>
|
||||
```
|
||||
|
||||
The sidecar will remove it from Grafana within ~60 seconds.
|
||||
|
||||
---
|
||||
|
||||
## Pitfalls Encountered in This Conversation
|
||||
|
||||
### Pitfall 1: Entity IDs lack `sensor.` prefix in InfluxDB
|
||||
**Problem**: Used `sensor.home_wohnzimmer_temperature` in queries — no data appeared. Home Assistant stores the domain (`sensor`) in a separate `domain` tag, not in `entity_id`.
|
||||
**Fix**: Use `home_wohnzimmer_temperature` (without prefix). Always query InfluxDB directly to verify entity_id format before building queries.
|
||||
|
||||
### Pitfall 2: Hardcoded time ranges
|
||||
**Problem**: Used `range(start: -24h)` and `aggregateWindow(every: 5m)` — dashboard time picker had no effect, data not loaded properly.
|
||||
**Fix**: Always use `v.timeRangeStart`, `v.timeRangeStop`, `v.windowPeriod`. These Grafana variables adapt to the dashboard time picker.
|
||||
|
||||
### Pitfall 3: Missing `yield()`
|
||||
**Problem**: Flux queries missing `yield(name: "mean")` — Grafana couldn't parse results.
|
||||
**Fix**: Always end Flux queries with `|> yield(name: "mean")`.
|
||||
|
||||
### Pitfall 4: Dot notation for underscore fields
|
||||
**Problem**: Used `r._measurement` and `r._field` — Flux may not resolve fields starting with `_` via dot notation.
|
||||
**Fix**: Use bracket notation: `r["_measurement"]`, `r["_field"]`.
|
||||
|
||||
### Pitfall 5: Datasource UID vs Name
|
||||
**Problem**: Used datasource name as UID (`"uid": "InfluxDB Home Assistant"`). Dashboards loaded but showed "no data".
|
||||
**Fix**: Discover actual UID via `kubectl exec` + Grafana API. Current: `P2AB959DC95E5519F`.
|
||||
|
||||
### Pitfall 6: `"dashboard"` JSON Wrapper
|
||||
**Problem**: Dashboard JSON wrapped in `{"dashboard": {...}}`. Grafana showed "Dashboard title cannot be empty".
|
||||
**Fix**: Top-level properties only. The `"dashboard"` wrapper is for HTTP API, not file provisioning.
|
||||
|
||||
### Pitfall 7: Adding `uid` to Helm Datasource Config
|
||||
**Problem**: Added `uid: influxdb-ha-flux` to helm values — Grafana pod crashed.
|
||||
**Fix**: Let Grafana auto-generate UIDs. Never add `uid` to existing datasources.
|
||||
|
||||
### Pitfall 8: Multi-entity panels using `or` in filter
|
||||
**Problem**: Used `filter(fn: (r) => r.entity_id == "A" or r.entity_id == "B")` — Flux `or` inside a single filter call doesn't reliably work.
|
||||
**Fix**: Use regex: `filter(fn: (r) => r.entity_id =~ /^home_/)` for matching multiple entities.
|
||||
|
||||
### Pitfall 9: Wrong Sensor Selection
|
||||
**Problem**: Used raw temperature sensors instead of Wandthermostat sensors.
|
||||
**Fix**: Query HA to filter entities with `wandthermostat` or `thermostat` in entity_id.
|
||||
|
||||
### Pitfall 10: Sidecar Container Name
|
||||
**Problem**: `kubectl logs -c grafana-sc-dashboards` (plural).
|
||||
**Fix**: Container name is `grafana-sc-dashboard` (singular).
|
||||
|
||||
---
|
||||
|
||||
## Dashboard Design Guidelines
|
||||
|
||||
1. **Use semantic thresholds with colors**: Blue=cold, green=comfort, orange=warm, red=hot for temperature; reverse for grid import (green=low, red=high).
|
||||
2. **Use Stat panels with sparklines** for current values — they show the 24h mini-trend.
|
||||
3. **Use BarGauge for day comparisons** (today vs yesterday vs avg).
|
||||
4. **Use Gauge for ranged values** (battery SoC 0-100%, cloud cover 0-100%).
|
||||
5. **Color-code panel backgrounds** with `"colorMode": "background"` for at-a-glance status.
|
||||
6. **Set `"editable": false`** for strict GitOps.
|
||||
7. **Use emoji in dashboard and panel titles** for visual appeal (🏠 ⚡ 🔥 🌡️ 💧).
|
||||
8. **Add `"auto-generated"` tag** to distinguish from manually created dashboards.
|
||||
9. **Include calcs in legend** (`mean`, `max`, `min`, `lastNotNull`) for quick statistics.
|
||||
10. **Use `"spanNulls": true`** in timeseries to handle gaps in sensor data.
|
||||
|
||||
---
|
||||
|
||||
## InfluxDB Measurement Reference
|
||||
|
||||
| Measurement | Unit | Typical Entities |
|
||||
|-------------|------|------------------|
|
||||
| `°C` | celsius | Wandthermostat temperatures, outdoor temp, battery temp |
|
||||
| `%` | percent | Humidity, battery levels, heating valve position, cloud cover |
|
||||
| `W` | watt | Solar production, self-consumption, grid import/export, house consumption |
|
||||
| `kWh` | kilowatt-hour | Daily energy totals (production, consumption, import, export) |
|
||||
| `m³` | cubic meter | Gas volume counter |
|
||||
| `m³/h` | cubic meter/hour | Current gas flow rate |
|
||||
| `hPa` | hectopascal | Barometric pressure |
|
||||
| `km/h` | kilometer/hour | Wind speed |
|
||||
| `mm/h` | millimeter/hour | Precipitation rate |
|
||||
| `EUR` | euro | Gas cost, electricity cost |
|
||||
@@ -0,0 +1,90 @@
|
||||
# Grafana Dashboards as Code
|
||||
|
||||
This directory contains Grafana dashboards managed as Kubernetes ConfigMaps. Dashboards are automatically loaded into Grafana via the dashboard sidecar.
|
||||
|
||||
## Architecture
|
||||
|
||||
```
|
||||
dashboards/*.yaml (ConfigMap with embedded JSON)
|
||||
│
|
||||
│ kubectl apply
|
||||
▼
|
||||
Kubernetes ConfigMap (label: grafana_dashboard=1)
|
||||
│
|
||||
│ Sidecar watches for ConfigMaps
|
||||
▼
|
||||
Grafana Dashboard (read-only, GitOps managed)
|
||||
```
|
||||
|
||||
## Quick Deploy
|
||||
|
||||
```bash
|
||||
# Apply all dashboards
|
||||
kubectl apply -f dashboards/
|
||||
|
||||
# Apply a single dashboard
|
||||
kubectl apply -f dashboards/grafana-dashboard-home-climate.yaml
|
||||
```
|
||||
|
||||
## Verify
|
||||
|
||||
```bash
|
||||
# Check ConfigMaps are created and labeled correctly
|
||||
kubectl get configmaps -n monitoring -l grafana_dashboard=1
|
||||
|
||||
# Check sidecar logs to confirm dashboards were loaded
|
||||
kubectl logs -n monitoring deployment/kube-prometheus-stack-grafana -c grafana-sc-dashboards --tail=50
|
||||
|
||||
# List dashboards via Grafana API
|
||||
kubectl -n monitoring exec deploy/kube-prometheus-stack-grafana -- \
|
||||
curl -s -u admin:$(kubectl -n monitoring get secret kube-prometheus-stack-grafana -o jsonpath='{.data.admin-password}' | base64 -d) \
|
||||
http://localhost:3000/api/search?type=dash-db | jq '.[].title'
|
||||
```
|
||||
|
||||
## Discovery
|
||||
|
||||
Before generating new dashboards, discover what metrics are available:
|
||||
|
||||
```bash
|
||||
# Discover InfluxDB measurements, fields, and tags
|
||||
./scripts/discover-influxdb.sh
|
||||
|
||||
# Discover Home Assistant entities and their metadata
|
||||
./scripts/discover-home-assistant.sh
|
||||
```
|
||||
|
||||
## Dashboard Structure
|
||||
|
||||
Each dashboard is a single YAML file containing a Kubernetes ConfigMap with the dashboard JSON embedded:
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-<name>
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: "1"
|
||||
annotations:
|
||||
grafana_dashboard_folder: "<Folder Name>"
|
||||
data:
|
||||
<name>.json: |
|
||||
{
|
||||
"dashboard": { ... }
|
||||
}
|
||||
```
|
||||
|
||||
## Adding a New Dashboard
|
||||
|
||||
1. Run discovery scripts to understand available metrics
|
||||
2. Create a new ConfigMap YAML in `dashboards/`
|
||||
3. Apply: `kubectl apply -f dashboards/grafana-dashboard-<name>.yaml`
|
||||
4. Verify the dashboard appears in Grafana at https://grafana.haumdaucher.de
|
||||
|
||||
## Removing a Dashboard
|
||||
|
||||
```bash
|
||||
kubectl delete configmap -n monitoring grafana-dashboard-<name>
|
||||
```
|
||||
|
||||
The sidecar will automatically remove the dashboard from Grafana within ~60 seconds.
|
||||
Binary file not shown.
@@ -0,0 +1,92 @@
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-energy-monitor
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: '1'
|
||||
annotations:
|
||||
grafana_dashboard_folder: 🏠 Home
|
||||
data:
|
||||
energy-monitor.json: '{"uid": "energy-monitor", "title": "⚡ Energy Monitor", "tags": ["home", "energy", "solar", "power", "auto-generated"], "timezone": "browser", "schemaVersion": 39, "version": 1, "refresh":
|
||||
"5m", "editable": false, "graphTooltip": 1, "time": {"from": "now-24h", "to": "now"}, "panels": [{"title": "⚡ Live Power", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 0}, "collapsed": false},
|
||||
{"title": "☀️ Solar", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 0, "y": 1}, "fieldConfig": {"defaults": {"unit": "watt", "decimals":
|
||||
0, "thresholds": {"mode": "absolute", "steps": [{"color": "#555", "value": null}, {"color": "#FFD700", "value": 100}, {"color": "#73BF69", "value": 500}, {"color": "#37872D", "value": 2000}]}, "color":
|
||||
{"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket:
|
||||
\"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_systemleistung\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "🏠 Self-Use", "type": "stat", "datasource": {"type": "influxdb",
|
||||
"uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 4, "y": 1}, "fieldConfig": {"defaults": {"unit": "watt", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#555", "value":
|
||||
null}, {"color": "#73BF69", "value": 100}, {"color": "#FFD700", "value": 1000}, {"color": "#FF7383", "value": 3000}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode":
|
||||
"background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_eigene_leistung\")\n |> aggregateWindow(every: v.windowPeriod,
|
||||
fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "🔌 Grid Import", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"},
|
||||
"gridPos": {"h": 4, "w": 4, "x": 8, "y": 1}, "fieldConfig": {"defaults": {"unit": "watt", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700",
|
||||
"value": 500}, {"color": "#FF7383", "value": 2000}, {"color": "#C4162A", "value": 5000}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode":
|
||||
"auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r)
|
||||
=> r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_bezugsleistung\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty:
|
||||
false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "↗️ Grid Export", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4,
|
||||
"w": 4, "x": 12, "y": 1}, "fieldConfig": {"defaults": {"unit": "watt", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#555", "value": null}, {"color": "#5794F2", "value": 100},
|
||||
{"color": "#1F60C4", "value": 500}, {"color": "#3274D9", "value": 2000}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions":
|
||||
{"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
|
||||
== \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_einspeiseleistung\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |>
|
||||
yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "🔋 Battery SoC", "type": "gauge", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x":
|
||||
16, "y": 1}, "fieldConfig": {"defaults": {"unit": "percent", "decimals": 0, "min": 0, "max": 100, "thresholds": {"mode": "absolute", "steps": [{"color": "#C4162A", "value": null}, {"color": "#FF7383",
|
||||
"value": 20}, {"color": "#FFD700", "value": 40}, {"color": "#73BF69", "value": 60}]}, "color": {"mode": "thresholds"}}}, "options": {"reduceOptions": {"values": false, "calcs": ["lastNotNull"]}, "orientation":
|
||||
"auto", "showThresholdLabels": true, "showThresholdMarkers": true}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and
|
||||
r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"ladeaufstellung_soc\")\n |> last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "🏡 Total House", "type":
|
||||
"stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 20, "y": 1}, "fieldConfig": {"defaults": {"unit": "watt", "decimals": 0, "thresholds": {"mode":
|
||||
"absolute", "steps": [{"color": "#555", "value": null}, {"color": "#73BF69", "value": 200}, {"color": "#FFD700", "value": 1000}, {"color": "#FF7383", "value": 3000}, {"color": "#C4162A", "value": 5000}]},
|
||||
"color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query":
|
||||
"from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id
|
||||
== \"home_strommesserat_currentpowerconsumption\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title":
|
||||
"📈 Power Flow", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 5}, "collapsed": false}, {"title": "Power Timeline", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"},
|
||||
"gridPos": {"h": 10, "w": 24, "x": 0, "y": 6}, "fieldConfig": {"defaults": {"unit": "watt", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher":
|
||||
{"id": "byName", "options": "Solar"}, "properties": [{"id": "color", "value": {"fixedColor": "#FFD700", "mode": "fixed"}}, {"id": "custom.fillOpacity", "value": 15}]}, {"matcher": {"id": "byName", "options":
|
||||
"Self-Use"}, "properties": [{"id": "color", "value": {"fixedColor": "#73BF69", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Grid Import"}, "properties": [{"id": "color", "value": {"fixedColor":
|
||||
"#FF7383", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Grid Export"}, "properties": [{"id": "color", "value": {"fixedColor": "#5794F2", "mode": "fixed"}}, {"id": "custom.lineStyle",
|
||||
"value": {"fill": "dash", "dash": [8, 4]}}]}, {"matcher": {"id": "byName", "options": "Local Load"}, "properties": [{"id": "color", "value": {"fixedColor": "#C4162A", "mode": "fixed"}}]}]}, "options":
|
||||
{"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["max", "mean", "lastNotNull"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "SOLAR", "query": "from(bucket:
|
||||
\"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_systemleistung\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"source\", value: \"Solar\")", "resultFormat": "time_series"}, {"refId": "SELF", "query":
|
||||
"from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id
|
||||
== \"garten_bzp3n7g1b0_eigene_leistung\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"source\", value: \"Self-Use\")", "resultFormat":
|
||||
"time_series"}, {"refId": "IMPORT", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"]
|
||||
== \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_bezugsleistung\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |>
|
||||
set(key: \"source\", value: \"Grid Import\")", "resultFormat": "time_series"}, {"refId": "EXPORT", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_einspeiseleistung\")\n |> aggregateWindow(every: v.windowPeriod,
|
||||
fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"source\", value: \"Grid Export\")", "resultFormat": "time_series"}, {"refId": "LOAD", "query": "from(bucket: \"default\")\n |>
|
||||
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"W\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_lokale_lastleistung\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"source\", value: \"Local Load\")", "resultFormat": "time_series"}]}, {"title": "📊 Energy
|
||||
Summary (Today)", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 16}, "collapsed": false}, {"title": "☀️ Solar Produced", "type": "bargauge", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"},
|
||||
"gridPos": {"h": 4, "w": 6, "x": 0, "y": 17}, "fieldConfig": {"defaults": {"unit": "kwatth", "decimals": 1, "min": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#555", "value": null}, {"color":
|
||||
"#FFD700", "value": 5}, {"color": "#73BF69", "value": 15}, {"color": "#37872D", "value": 30}]}, "color": {"mode": "thresholds"}}}, "options": {"reduceOptions": {"values": false, "calcs": ["lastNotNull"]},
|
||||
"orientation": "horizontal", "displayMode": "basic", "showUnfilled": true}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"kWh\"
|
||||
and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_systemerzeugung_heute\")\n |> last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title":
|
||||
"🏠 Self-Consumed", "type": "bargauge", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 6, "x": 6, "y": 17}, "fieldConfig": {"defaults": {"unit": "kwatth", "decimals":
|
||||
1, "min": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#555", "value": null}, {"color": "#73BF69", "value": 5}, {"color": "#FFD700", "value": 15}, {"color": "#FF7383", "value": 30}]},
|
||||
"color": {"mode": "thresholds"}}}, "options": {"reduceOptions": {"values": false, "calcs": ["lastNotNull"]}, "orientation": "horizontal", "displayMode": "basic", "showUnfilled": true}, "targets": [{"query":
|
||||
"from(bucket: \"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"kWh\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_eigenverbrauch_heute\")\n |>
|
||||
last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "🔌 Grid Imported", "type": "bargauge", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h":
|
||||
4, "w": 6, "x": 12, "y": 17}, "fieldConfig": {"defaults": {"unit": "kwatth", "decimals": 1, "min": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700",
|
||||
"value": 2}, {"color": "#FF7383", "value": 10}, {"color": "#C4162A", "value": 20}]}, "color": {"mode": "thresholds"}}}, "options": {"reduceOptions": {"values": false, "calcs": ["lastNotNull"]}, "orientation":
|
||||
"horizontal", "displayMode": "basic", "showUnfilled": true}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"kWh\" and r[\"_field\"]
|
||||
== \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_netzbezug_heute\")\n |> last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "↗️ Grid Exported",
|
||||
"type": "bargauge", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 6, "x": 18, "y": 17}, "fieldConfig": {"defaults": {"unit": "kwatth", "decimals": 1, "min":
|
||||
0, "thresholds": {"mode": "absolute", "steps": [{"color": "#555", "value": null}, {"color": "#5794F2", "value": 2}, {"color": "#1F60C4", "value": 10}, {"color": "#3274D9", "value": 20}]}, "color": {"mode":
|
||||
"thresholds"}}}, "options": {"reduceOptions": {"values": false, "calcs": ["lastNotNull"]}, "orientation": "horizontal", "displayMode": "basic", "showUnfilled": true}, "targets": [{"query": "from(bucket:
|
||||
\"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"kWh\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"export_ins_netz_heute\")\n |> last()\n |>
|
||||
yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "📈 Energy Trend", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 21}, "collapsed": false}, {"title": "Daily Energy", "type":
|
||||
"timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 10, "w": 24, "x": 0, "y": 22}, "fieldConfig": {"defaults": {"unit": "kwatth", "custom": {"lineWidth": 2,
|
||||
"fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Solar"}, "properties": [{"id": "color", "value": {"fixedColor": "#FFD700", "mode":
|
||||
"fixed"}}]}, {"matcher": {"id": "byName", "options": "Self-Use"}, "properties": [{"id": "color", "value": {"fixedColor": "#73BF69", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Grid
|
||||
Import"}, "properties": [{"id": "color", "value": {"fixedColor": "#FF7383", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Grid Export"}, "properties": [{"id": "color", "value": {"fixedColor":
|
||||
"#5794F2", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["sum", "mean"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId":
|
||||
"SOLAR", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"kWh\" and r[\"_field\"] == \"value\")\n |>
|
||||
filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_systemerzeugung_heute\")\n |> aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"type\", value:
|
||||
\"Solar\")", "resultFormat": "time_series"}, {"refId": "SELF", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
|
||||
== \"kWh\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_eigenverbrauch_heute\")\n |> aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> yield(name:
|
||||
\"mean\") |> set(key: \"type\", value: \"Self-Use\")", "resultFormat": "time_series"}, {"refId": "IMPORT", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"kWh\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"garten_bzp3n7g1b0_netzbezug_heute\")\n |> aggregateWindow(every: 1d, fn: mean,
|
||||
createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"type\", value: \"Grid Import\")", "resultFormat": "time_series"}, {"refId": "EXPORT", "query": "from(bucket: \"default\")\n |> range(start:
|
||||
v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"kWh\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"export_ins_netz_heute\")\n |>
|
||||
aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"type\", value: \"Grid Export\")", "resultFormat": "time_series"}]}]}'
|
||||
@@ -0,0 +1,62 @@
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-heating-gas
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: '1'
|
||||
annotations:
|
||||
grafana_dashboard_folder: 🏠 Home
|
||||
data:
|
||||
heating-gas.json: '{"uid": "heating-gas", "title": "🔥 Heating & Gas", "tags": ["home", "heating", "gas", "auto-generated"], "timezone": "browser", "schemaVersion": 39, "version": 1, "refresh": "5m", "editable":
|
||||
false, "graphTooltip": 1, "time": {"from": "now-24h", "to": "now"}, "panels": [{"title": "⛽ Gas Overview", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 0}, "collapsed": false}, {"title":
|
||||
"Current Gas Flow", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 6, "x": 0, "y": 1}, "fieldConfig": {"defaults": {"unit": "cms", "decimals":
|
||||
0, "thresholds": {"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700", "value": 0.5}, {"color": "#FF7383", "value": 1.5}, {"color": "#C4162A", "value": 3}]}, "color":
|
||||
{"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket:
|
||||
\"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"m³/h\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id ==
|
||||
\"home_gaszahler_currentgasflow\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Total Gas Volume",
|
||||
"type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 6, "x": 6, "y": 1}, "fieldConfig": {"defaults": {"unit": "cms", "decimals": 0, "thresholds":
|
||||
{"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700", "value": 500}, {"color": "#FF7383", "value": 1000}, {"color": "#C4162A", "value": 2000}]}, "color": {"mode":
|
||||
"thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |>
|
||||
range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"m³\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_gaszahler_gasvolume\")\n |> last()\n |> yield(name:
|
||||
\"mean\")", "resultFormat": "time_series"}]}, {"title": "Gas Cost (EUR)", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 6, "x": 12, "y": 1},
|
||||
"fieldConfig": {"defaults": {"unit": "currencyEUR", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700", "value": 200}, {"color": "#FF7383",
|
||||
"value": 500}, {"color": "#C4162A", "value": 1000}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false,
|
||||
"calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"EUR\" and r[\"_field\"] == \"value\")\n |> filter(fn:
|
||||
(r) => r.entity_id == \"home_gaszahler_gasvolume_cost\")\n |> last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Electricity Cost (EUR)", "type": "stat", "datasource":
|
||||
{"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 6, "x": 18, "y": 1}, "fieldConfig": {"defaults": {"unit": "currencyEUR", "decimals": 0, "thresholds": {"mode": "absolute",
|
||||
"steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700", "value": 100}, {"color": "#FF7383", "value": 300}, {"color": "#C4162A", "value": 500}]}, "color": {"mode": "thresholds"}}}, "options":
|
||||
{"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start:
|
||||
-15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"EUR\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_strommesserat_energy_counter_usage_high_tariff_cost\")\n |>
|
||||
last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "📈 Gas Consumption Trend", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 5}, "collapsed": false}, {"title":
|
||||
"Gas Flow", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 8, "w": 16, "x": 0, "y": 6}, "fieldConfig": {"defaults": {"unit": "cms", "custom":
|
||||
{"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Gas Flow"}, "properties": [{"id": "color", "value": {"fixedColor":
|
||||
"#FF7383", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["max", "mean"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId":
|
||||
"FLOW", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"m³/h\" and r[\"_field\"] == \"value\")\n |>
|
||||
filter(fn: (r) => r.entity_id == \"home_gaszahler_currentgasflow\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"metric\", value:
|
||||
\"Gas Flow\")", "resultFormat": "time_series"}]}, {"title": "Gas Volume", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 8, "w": 8, "x": 16, "y":
|
||||
6}, "fieldConfig": {"defaults": {"unit": "cms", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Gas Volume"},
|
||||
"properties": [{"id": "color", "value": {"fixedColor": "#C4162A", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["mean", "lastNotNull"]}, "tooltip":
|
||||
{"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "VOL", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
|
||||
== \"m³\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_gaszahler_gasvolume\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name:
|
||||
\"mean\") |> set(key: \"metric\", value: \"Gas Volume\")", "resultFormat": "time_series"}]}, {"title": "🏠 Heating Activity", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 14}, "collapsed":
|
||||
false}, {"title": "Heating Valve Position", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 10, "w": 24, "x": 0, "y": 15}, "fieldConfig": {"defaults":
|
||||
{"unit": "percent", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Wohnzimmer"}, "properties": [{"id":
|
||||
"color", "value": {"fixedColor": "#FF7383", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Wohnzimmer #2"}, "properties": [{"id": "color", "value": {"fixedColor": "#FF9830", "mode": "fixed"}}]},
|
||||
{"matcher": {"id": "byName", "options": "Arbeitszimmer"}, "properties": [{"id": "color", "value": {"fixedColor": "#5794F2", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Schlafzimmer"},
|
||||
"properties": [{"id": "color", "value": {"fixedColor": "#8F3BB8", "mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Küche"}, "properties": [{"id": "color", "value": {"fixedColor": "#73BF69",
|
||||
"mode": "fixed"}}]}, {"matcher": {"id": "byName", "options": "Bad"}, "properties": [{"id": "color", "value": {"fixedColor": "#1F60C4", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table",
|
||||
"placement": "bottom", "calcs": ["mean", "lastNotNull"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "Wo", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart,
|
||||
stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wohnzimmer_heating\")\n |> aggregateWindow(every:
|
||||
v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |> set(key: \"room\", value: \"Wohnzimmer\")", "resultFormat": "time_series"}, {"refId": "Wo", "query": "from(bucket: \"default\")\n |>
|
||||
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wohnzimmer_2_heating\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |> set(key: \"room\", value: \"Wohnzimmer #2\")", "resultFormat": "time_series"}, {"refId": "Ar",
|
||||
"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn:
|
||||
(r) => r.entity_id == \"home_arbeitszimmer_heating\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |> set(key: \"room\", value: \"Arbeitszimmer\")",
|
||||
"resultFormat": "time_series"}, {"refId": "Sc", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and
|
||||
r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_schlafzimmer_og_heating\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |>
|
||||
set(key: \"room\", value: \"Schlafzimmer\")", "resultFormat": "time_series"}, {"refId": "Kü", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
|
||||
(r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_kuche_vorne_heating\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty:
|
||||
false)\n |> yield(name: \"mean\")\n |> set(key: \"room\", value: \"Küche\")", "resultFormat": "time_series"}, {"refId": "Ba", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart,
|
||||
stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_badezimmer_thermostat_heating\")\n |> aggregateWindow(every:
|
||||
v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |> set(key: \"room\", value: \"Bad\")", "resultFormat": "time_series"}]}]}'
|
||||
@@ -0,0 +1,98 @@
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-home-climate
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: '1'
|
||||
annotations:
|
||||
grafana_dashboard_folder: 🏠 Home
|
||||
data:
|
||||
home-climate.json: '{"uid": "home-climate", "title": "🏠 Home Climate", "tags": ["home", "climate", "temperature", "humidity", "auto-generated"], "timezone": "browser", "schemaVersion": 39, "version":
|
||||
1, "refresh": "5m", "editable": false, "graphTooltip": 1, "time": {"from": "now-24h", "to": "now"}, "panels": [{"title": "🌡️ Current Temperatures", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0,
|
||||
"y": 0}, "collapsed": false}, {"title": "Wohnzimmer", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 0, "y": 1}, "fieldConfig": {"defaults":
|
||||
{"unit": "celsius", "decimals": 1, "thresholds": {"mode": "absolute", "steps": [{"color": "blue", "value": null}, {"color": "green", "value": 18}, {"color": "orange", "value": 22}, {"color": "red",
|
||||
"value": 26}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets":
|
||||
[{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn:
|
||||
(r) => r.entity_id == \"home_wall_mounted_thermostat_pro_temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]},
|
||||
{"title": "Wohnzimmer #2", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 4, "y": 1}, "fieldConfig": {"defaults": {"unit": "celsius",
|
||||
"decimals": 1, "thresholds": {"mode": "absolute", "steps": [{"color": "blue", "value": null}, {"color": "green", "value": 18}, {"color": "orange", "value": 22}, {"color": "red", "value": 26}]}, "color":
|
||||
{"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket:
|
||||
\"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id ==
|
||||
\"home_wohnzimmer_2_thermostat_temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Arbeitszimmer",
|
||||
"type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 8, "y": 1}, "fieldConfig": {"defaults": {"unit": "celsius", "decimals": 1, "thresholds":
|
||||
{"mode": "absolute", "steps": [{"color": "blue", "value": null}, {"color": "green", "value": 18}, {"color": "orange", "value": 22}, {"color": "red", "value": 26}]}, "color": {"mode": "thresholds"}}},
|
||||
"options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |>
|
||||
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_arbeitszimmer_thermostat_temperature\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Küche", "type": "stat", "datasource": {"type": "influxdb",
|
||||
"uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 12, "y": 1}, "fieldConfig": {"defaults": {"unit": "celsius", "decimals": 1, "thresholds": {"mode": "absolute", "steps": [{"color": "blue",
|
||||
"value": null}, {"color": "green", "value": 18}, {"color": "orange", "value": 22}, {"color": "red", "value": 26}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background",
|
||||
"textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_kuche_wandthermostat_temperature\")\n |> aggregateWindow(every: v.windowPeriod,
|
||||
fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Bad", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos":
|
||||
{"h": 4, "w": 4, "x": 16, "y": 1}, "fieldConfig": {"defaults": {"unit": "celsius", "decimals": 1, "thresholds": {"mode": "absolute", "steps": [{"color": "blue", "value": null}, {"color": "green", "value":
|
||||
18}, {"color": "orange", "value": 22}, {"color": "red", "value": 26}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions":
|
||||
{"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
|
||||
== \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wandthermostat_bad_temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |>
|
||||
yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "📈 Temperature Trends", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 5}, "collapsed": false}, {"title": "All Rooms Temperature",
|
||||
"type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 10, "w": 16, "x": 0, "y": 6}, "fieldConfig": {"defaults": {"unit": "celsius", "custom": {"lineWidth":
|
||||
2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["mean", "lastNotNull", "min", "max"]}, "tooltip": {"mode":
|
||||
"multi", "sort": "desc"}}, "targets": [{"refId": "Wo", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] ==
|
||||
\"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wall_mounted_thermostat_pro_temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |>
|
||||
set(key: \"room\", value: \"Wohnzimmer\")\n |> yield(name: \"mean\")", "resultFormat": "time_series"}, {"refId": "Wo2", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop:
|
||||
v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wohnzimmer_2_thermostat_temperature\")\n |> aggregateWindow(every:
|
||||
v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Wohnzimmer #2\")\n |> yield(name: \"mean\")", "resultFormat": "time_series"}, {"refId": "Ar", "query": "from(bucket:
|
||||
\"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id ==
|
||||
\"home_arbeitszimmer_thermostat_temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Arbeitszimmer\")\n |> yield(name: \"mean\")",
|
||||
"resultFormat": "time_series"}, {"refId": "Kü", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\"
|
||||
and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_kuche_wandthermostat_temperature\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Küche\")\n |> yield(name:
|
||||
\"mean\")", "resultFormat": "time_series"}, {"refId": "Ba", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wandthermostat_bad_temperature\")\n |> aggregateWindow(every: v.windowPeriod,
|
||||
fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Bad\")\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Indoor vs Outdoor", "type": "timeseries", "datasource":
|
||||
{"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 10, "w": 8, "x": 16, "y": 6}, "fieldConfig": {"defaults": {"unit": "celsius", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls":
|
||||
true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Outdoor"}, "properties": [{"id": "color", "value": {"fixedColor": "light-blue", "mode": "fixed"}}, {"id": "custom.lineStyle",
|
||||
"value": {"fill": "dash", "dash": [10, 5]}}]}, {"matcher": {"id": "byName", "options": "Indoor Avg"}, "properties": [{"id": "color", "value": {"fixedColor": "orange", "mode": "fixed"}}]}]}, "options":
|
||||
{"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["mean", "lastNotNull"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "OUT", "query": "from(bucket: \"default\")\n |>
|
||||
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_temperatur\")\n |>
|
||||
aggregateWindow(every: 1h, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |> set(key: \"location\", value: \"Outdoor\")", "resultFormat": "time_series"}, {"refId": "IN", "query": "from(bucket:
|
||||
\"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id =~
|
||||
/^home_/)\n |> aggregateWindow(every: 1h, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n |> group()\n |> mean()\n |> set(key: \"location\", value: \"Indoor Avg\")", "resultFormat":
|
||||
"time_series"}]}, {"title": "💧 Humidity", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 16}, "collapsed": false}, {"title": "Wohnzimmer", "type": "stat", "datasource": {"type": "influxdb",
|
||||
"uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 0, "y": 17}, "fieldConfig": {"defaults": {"unit": "percent", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "red",
|
||||
"value": null}, {"color": "orange", "value": 30}, {"color": "green", "value": 40}, {"color": "orange", "value": 60}, {"color": "red", "value": 70}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode":
|
||||
"area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart,
|
||||
stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wall_mounted_thermostat_pro_humidity\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Arbeitszimmer", "type": "stat", "datasource": {"type":
|
||||
"influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 4, "y": 17}, "fieldConfig": {"defaults": {"unit": "percent", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color":
|
||||
"red", "value": null}, {"color": "orange", "value": 30}, {"color": "green", "value": 40}, {"color": "orange", "value": 60}, {"color": "red", "value": 70}]}, "color": {"mode": "thresholds"}}}, "options":
|
||||
{"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start:
|
||||
v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_arbeitszimmer_thermostat_humidity\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Wohnzimmer #2", "type": "stat", "datasource": {"type":
|
||||
"influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 8, "y": 17}, "fieldConfig": {"defaults": {"unit": "percent", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color":
|
||||
"red", "value": null}, {"color": "orange", "value": 30}, {"color": "green", "value": 40}, {"color": "orange", "value": 60}, {"color": "red", "value": 70}]}, "color": {"mode": "thresholds"}}}, "options":
|
||||
{"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start:
|
||||
v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wohnzimmer_2_thermostat_humidity\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Bad", "type": "stat", "datasource": {"type": "influxdb",
|
||||
"uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 12, "y": 17}, "fieldConfig": {"defaults": {"unit": "percent", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "red",
|
||||
"value": null}, {"color": "orange", "value": 30}, {"color": "green", "value": 40}, {"color": "orange", "value": 60}, {"color": "red", "value": 70}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode":
|
||||
"area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart,
|
||||
stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wandthermostat_bad_humidity\")\n |> aggregateWindow(every:
|
||||
v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Küche", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"},
|
||||
"gridPos": {"h": 4, "w": 4, "x": 16, "y": 17}, "fieldConfig": {"defaults": {"unit": "percent", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "red", "value": null}, {"color":
|
||||
"orange", "value": 30}, {"color": "green", "value": 40}, {"color": "orange", "value": 60}, {"color": "red", "value": 70}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode":
|
||||
"background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_kuche_wandthermostat_humidity\")\n |> aggregateWindow(every: v.windowPeriod,
|
||||
fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "Humidity Trends", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"},
|
||||
"gridPos": {"h": 8, "w": 24, "x": 0, "y": 20}, "fieldConfig": {"defaults": {"unit": "percent", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}}, "options": {"legend":
|
||||
{"displayMode": "table", "placement": "bottom", "calcs": ["mean", "lastNotNull"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "Wo", "query": "from(bucket: \"default\")\n |>
|
||||
range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wall_mounted_thermostat_pro_humidity\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Wohnzimmer\")\n |> yield(name: \"mean\")", "resultFormat": "time_series"}, {"refId": "Ar", "query":
|
||||
"from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id
|
||||
== \"home_arbeitszimmer_thermostat_humidity\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Arbeitszimmer\")\n |> yield(name: \"mean\")",
|
||||
"resultFormat": "time_series"}, {"refId": "Wo2", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and
|
||||
r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wohnzimmer_2_thermostat_humidity\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Wohnzimmer #2\")\n |> yield(name:
|
||||
\"mean\")", "resultFormat": "time_series"}, {"refId": "Ba", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |>
|
||||
filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_wandthermostat_bad_humidity\")\n |> aggregateWindow(every: v.windowPeriod,
|
||||
fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Bad\")\n |> yield(name: \"mean\")", "resultFormat": "time_series"}, {"refId": "Kü", "query": "from(bucket: \"default\")\n |> range(start:
|
||||
v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"home_kuche_wandthermostat_humidity\")\n |>
|
||||
aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> set(key: \"room\", value: \"Küche\")\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}]}'
|
||||
@@ -0,0 +1,75 @@
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: grafana-dashboard-outdoor-weather
|
||||
namespace: monitoring
|
||||
labels:
|
||||
grafana_dashboard: '1'
|
||||
annotations:
|
||||
grafana_dashboard_folder: 🏠 Home
|
||||
data:
|
||||
outdoor-weather.json: '{"uid": "outdoor-weather", "title": "🌡️ Outdoor & Weather", "tags": ["home", "weather", "outdoor", "auto-generated"], "timezone": "browser", "schemaVersion": 39, "version": 1, "refresh":
|
||||
"5m", "editable": false, "graphTooltip": 1, "time": {"from": "now-24h", "to": "now"}, "panels": [{"title": "🌤️ Current Conditions", "type": "row", "gridPos": {"h": 1, "w": 24, "x": 0, "y": 0}, "collapsed":
|
||||
false}, {"title": "🌡️ Temperature", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 0, "y": 1}, "fieldConfig": {"defaults": {"unit":
|
||||
"celsius", "decimals": 1, "thresholds": {"mode": "absolute", "steps": [{"color": "#5794F2", "value": null}, {"color": "#73BF69", "value": 0}, {"color": "#FFD700", "value": 15}, {"color": "#FF7383",
|
||||
"value": 25}, {"color": "#C4162A", "value": 30}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false,
|
||||
"calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"°C\" and r[\"_field\"]
|
||||
== \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_temperatur\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat":
|
||||
"time_series"}]}, {"title": "💧 Humidity", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 4, "y": 1}, "fieldConfig": {"defaults": {"unit":
|
||||
"percent", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#FF7383", "value": null}, {"color": "#FFD700", "value": 30}, {"color": "#73BF69", "value": 40}, {"color": "#FFD700",
|
||||
"value": 70}, {"color": "#5794F2", "value": 90}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false,
|
||||
"calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"]
|
||||
== \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_luftfeuchtigkeit\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
|
||||
"resultFormat": "time_series"}]}, {"title": "🔵 Pressure", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 8, "y": 1}, "fieldConfig":
|
||||
{"defaults": {"unit": "pressurehpa", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#FF7383", "value": null}, {"color": "#FFD700", "value": 990}, {"color": "#73BF69", "value":
|
||||
1010}, {"color": "#FFD700", "value": 1030}, {"color": "#FF7383", "value": 1040}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto",
|
||||
"reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
|
||||
== \"hPa\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_druck\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name:
|
||||
\"mean\")", "resultFormat": "time_series"}]}, {"title": "💨 Wind", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 12, "y": 1}, "fieldConfig":
|
||||
{"defaults": {"unit": "velocitykmh", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#FFD700", "value": 20}, {"color": "#FF7383", "value":
|
||||
40}, {"color": "#C4162A", "value": 60}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs":
|
||||
["lastNotNull"]}}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"km/h\" and r[\"_field\"]
|
||||
== \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_windgeschwindigkeit\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
|
||||
"resultFormat": "time_series"}]}, {"title": "🌧️ Rain", "type": "stat", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 16, "y": 1}, "fieldConfig": {"defaults":
|
||||
{"unit": "mm/h", "decimals": 0, "thresholds": {"mode": "absolute", "steps": [{"color": "#73BF69", "value": null}, {"color": "#5794F2", "value": 0.1}, {"color": "#1F60C4", "value": 1}, {"color": "#3274D9",
|
||||
"value": 5}]}, "color": {"mode": "thresholds"}}}, "options": {"graphMode": "area", "colorMode": "background", "textMode": "auto", "reduceOptions": {"values": false, "calcs": ["lastNotNull"]}}, "targets":
|
||||
[{"query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mm/h\" and r[\"_field\"] == \"value\")\n |> filter(fn:
|
||||
(r) => r.entity_id == \"regensburg_regensburg_niederschlag\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]},
|
||||
{"title": "☁️ Cloud Cover", "type": "gauge", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 4, "w": 4, "x": 20, "y": 1}, "fieldConfig": {"defaults": {"unit": "percent",
|
||||
"decimals": 0, "min": 0, "max": 100, "thresholds": {"mode": "absolute", "steps": [{"color": "#5794F2", "value": null}, {"color": "#73BF69", "value": 20}, {"color": "#FFD700", "value": 50}, {"color":
|
||||
"#808080", "value": 80}]}, "color": {"mode": "thresholds"}}}, "options": {"reduceOptions": {"values": false, "calcs": ["lastNotNull"]}, "orientation": "auto", "showThresholdLabels": true, "showThresholdMarkers":
|
||||
true}, "targets": [{"query": "from(bucket: \"default\")\n |> range(start: -15m)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id
|
||||
== \"regensburg_regensburg_bewolkungsgrad\")\n |> last()\n |> yield(name: \"mean\")", "resultFormat": "time_series"}]}, {"title": "📈 Temperature & Humidity Trend", "type": "row", "gridPos": {"h":
|
||||
1, "w": 24, "x": 0, "y": 5}, "collapsed": false}, {"title": "Temperature", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 8, "w": 12, "x": 0,
|
||||
"y": 6}, "fieldConfig": {"defaults": {"unit": "celsius", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options":
|
||||
"Temperature"}, "properties": [{"id": "color", "value": {"fixedColor": "#FF7383", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["min", "max",
|
||||
"mean"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "T", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r)
|
||||
=> r[\"_measurement\"] == \"°C\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_temperatur\")\n |> aggregateWindow(every: 30m, fn: mean, createEmpty:
|
||||
false)\n |> yield(name: \"mean\") |> set(key: \"metric\", value: \"Temperature\")", "resultFormat": "time_series"}]}, {"title": "Humidity", "type": "timeseries", "datasource": {"type": "influxdb",
|
||||
"uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 8, "w": 12, "x": 12, "y": 6}, "fieldConfig": {"defaults": {"unit": "percent", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints":
|
||||
"never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Humidity"}, "properties": [{"id": "color", "value": {"fixedColor": "#5794F2", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode":
|
||||
"table", "placement": "bottom", "calcs": ["min", "max", "mean"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "H", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart,
|
||||
stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_luftfeuchtigkeit\")\n |> aggregateWindow(every:
|
||||
30m, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"metric\", value: \"Humidity\")", "resultFormat": "time_series"}]}, {"title": "📊 Pressure & Wind", "type": "row", "gridPos":
|
||||
{"h": 1, "w": 24, "x": 0, "y": 14}, "collapsed": false}, {"title": "Pressure", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 8, "w": 12, "x":
|
||||
0, "y": 15}, "fieldConfig": {"defaults": {"unit": "pressurehpa", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options":
|
||||
"Pressure"}, "properties": [{"id": "color", "value": {"fixedColor": "#8F3BB8", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["min", "max", "mean"]},
|
||||
"tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "P", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"]
|
||||
== \"hPa\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_druck\")\n |> aggregateWindow(every: 30m, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |>
|
||||
set(key: \"metric\", value: \"Pressure\")", "resultFormat": "time_series"}]}, {"title": "Wind Speed", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos":
|
||||
{"h": 8, "w": 12, "x": 12, "y": 15}, "fieldConfig": {"defaults": {"unit": "velocitykmh", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher":
|
||||
{"id": "byName", "options": "Wind"}, "properties": [{"id": "color", "value": {"fixedColor": "#5794F2", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs":
|
||||
["max", "mean"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "W", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
|
||||
(r) => r[\"_measurement\"] == \"km/h\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_windgeschwindigkeit\")\n |> aggregateWindow(every: 30m, fn: mean,
|
||||
createEmpty: false)\n |> yield(name: \"mean\") |> set(key: \"metric\", value: \"Wind\")", "resultFormat": "time_series"}]}, {"title": "🌧️ Precipitation & Cloud", "type": "row", "gridPos": {"h": 1,
|
||||
"w": 24, "x": 0, "y": 23}, "collapsed": false}, {"title": "Rain", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h": 8, "w": 12, "x": 0, "y": 24},
|
||||
"fieldConfig": {"defaults": {"unit": "mm/h", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id": "byName", "options": "Rain"}, "properties":
|
||||
[{"id": "color", "value": {"fixedColor": "#3274D9", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs": ["mean", "lastNotNull"]}, "tooltip": {"mode":
|
||||
"multi", "sort": "desc"}}, "targets": [{"refId": "R", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mm/h\"
|
||||
and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_niederschlag\")\n |> aggregateWindow(every: 30m, fn: mean, createEmpty: false)\n |> yield(name: \"mean\") |>
|
||||
set(key: \"metric\", value: \"Rain\")", "resultFormat": "time_series"}]}, {"title": "Cloud Cover", "type": "timeseries", "datasource": {"type": "influxdb", "uid": "P2AB959DC95E5519F"}, "gridPos": {"h":
|
||||
8, "w": 12, "x": 12, "y": 24}, "fieldConfig": {"defaults": {"unit": "percent", "custom": {"lineWidth": 2, "fillOpacity": 5, "spanNulls": true, "showPoints": "never"}}, "overrides": [{"matcher": {"id":
|
||||
"byName", "options": "Cloud Cover"}, "properties": [{"id": "color", "value": {"fixedColor": "#808080", "mode": "fixed"}}]}]}, "options": {"legend": {"displayMode": "table", "placement": "bottom", "calcs":
|
||||
["mean"]}, "tooltip": {"mode": "multi", "sort": "desc"}}, "targets": [{"refId": "C", "query": "from(bucket: \"default\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:
|
||||
(r) => r[\"_measurement\"] == \"%\" and r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r.entity_id == \"regensburg_regensburg_bewolkungsgrad\")\n |> aggregateWindow(every: 30m, fn: mean, createEmpty:
|
||||
false)\n |> yield(name: \"mean\") |> set(key: \"metric\", value: \"Cloud Cover\")", "resultFormat": "time_series"}]}]}'
|
||||
@@ -7,12 +7,11 @@ kubeControllerManager:
|
||||
serviceMonitor:
|
||||
https: true
|
||||
insecureSkipVerify: true
|
||||
# proxy not working, svc not exposed by port
|
||||
kubeProxy:
|
||||
service:
|
||||
targetPort: 10249
|
||||
serviceMonitor:
|
||||
https: true
|
||||
https: false
|
||||
insecureSkipVerify: true
|
||||
##################
|
||||
|
||||
@@ -61,6 +60,7 @@ prometheus:
|
||||
storage: 50Gi
|
||||
ingress:
|
||||
enabled: true
|
||||
ingressClassName: traefik
|
||||
hosts:
|
||||
- prometheus.haumdaucher.de
|
||||
tls:
|
||||
@@ -68,7 +68,7 @@ prometheus:
|
||||
- "prometheus.haumdaucher.de"
|
||||
secretName: prometheus-haumdaucher-de
|
||||
annotations:
|
||||
kubernetes.io/ingress.class: "nginx"
|
||||
kubernetes.io/ingress.class: "traefik"
|
||||
nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
|
||||
cert-manager.io/cluster-issuer: "letsencrypt-prod"
|
||||
# see https://kubernetes.github.io/ingress-nginx/examples/auth/basic/
|
||||
@@ -89,6 +89,7 @@ alertmanager:
|
||||
enabled: true
|
||||
ingress:
|
||||
enabled: true
|
||||
ingressClassName: traefik
|
||||
hosts:
|
||||
- alertmanager.haumdaucher.de
|
||||
tls:
|
||||
@@ -96,7 +97,7 @@ alertmanager:
|
||||
- "alertmanager.haumdaucher.de"
|
||||
secretName: alertmanager-haumdaucher-de
|
||||
annotations:
|
||||
kubernetes.io/ingress.class: "nginx"
|
||||
kubernetes.io/ingress.class: "traefik"
|
||||
nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
|
||||
cert-manager.io/cluster-issuer: "letsencrypt-prod"
|
||||
# see https://kubernetes.github.io/ingress-nginx/examples/auth/basic/
|
||||
@@ -126,8 +127,31 @@ grafana:
|
||||
imageRenderer:
|
||||
enabled: true
|
||||
adminPassword: kohkohh5sah1Do3ize2x
|
||||
additionalDataSources:
|
||||
- name: InfluxDB Home Assistant
|
||||
type: influxdb
|
||||
access: proxy
|
||||
url: http://influxdb-influxdb2.influxdb.svc.cluster.local:80
|
||||
jsonData:
|
||||
version: Flux
|
||||
organization: influxdata
|
||||
defaultBucket: default
|
||||
httpMode: POST
|
||||
secureJsonData:
|
||||
token: enaiY9yaiWi6ahv0phoph3FaiphoGh
|
||||
- name: InfluxDB Home Assistant InfluxQL
|
||||
type: influxdb
|
||||
access: proxy
|
||||
url: http://influxdb-influxdb2.influxdb.svc.cluster.local:80
|
||||
jsonData:
|
||||
dbName: default
|
||||
httpHeaderName1: 'Authorization'
|
||||
httpMode: POST
|
||||
secureJsonData:
|
||||
httpHeaderValue1: 'Token enaiY9yaiWi6ahv0phoph3FaiphoGh'
|
||||
ingress:
|
||||
enabled: true
|
||||
ingressClassName: traefik
|
||||
hosts:
|
||||
- grafana.haumdaucher.de
|
||||
tls:
|
||||
@@ -135,7 +159,7 @@ grafana:
|
||||
- "grafana.haumdaucher.de"
|
||||
secretName: grafana-haumdaucher-de
|
||||
annotations:
|
||||
kubernetes.io/ingress.class: "nginx"
|
||||
kubernetes.io/ingress.class: "traefik"
|
||||
nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
|
||||
cert-manager.io/cluster-issuer: "letsencrypt-prod"
|
||||
env:
|
||||
@@ -149,4 +173,22 @@ grafana:
|
||||
# interval_day: "MMM YYYY"
|
||||
# interval_month: "YYYY-MM"
|
||||
# interval_year: "YYYY"
|
||||
sidecar:
|
||||
dashboards:
|
||||
enabled: true
|
||||
label: grafana_dashboard
|
||||
labelValue: "1"
|
||||
searchNamespace: monitoring
|
||||
folder: /tmp/dashboards
|
||||
defaultFolderName: null
|
||||
provider:
|
||||
name: sidecarProvider
|
||||
orgId: 1
|
||||
folder: ""
|
||||
type: file
|
||||
disableDeletion: false
|
||||
editable: false
|
||||
allowUiUpdates: false
|
||||
options:
|
||||
path: /tmp/dashboards
|
||||
|
||||
|
||||
+63
@@ -0,0 +1,63 @@
|
||||
#!/bin/bash
|
||||
# discover-home-assistant.sh — Query Home Assistant REST API for entity metadata
|
||||
# Usage: ./discover-home-assistant.sh
|
||||
# Requires: curl, jq
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
HA_URL="https://hass.moritzgraf.de"
|
||||
HA_TOKEN="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiI2NDMyZTI1MDIzZjU0ZmFiYTU3OTc0ODYyMzg3M2ExZSIsImlhdCI6MTc4MjczMTY4NiwiZXhwIjoyMDk4MDkxNjg2fQ.u8kFHoYL2kdhVenfe3BiWcNkN_en3yn91MRGSVJvbmw"
|
||||
|
||||
echo "=== Home Assistant Entity Discovery ==="
|
||||
echo "URL: $HA_URL"
|
||||
echo ""
|
||||
|
||||
# Get all entities
|
||||
echo "→ Fetching all entities..."
|
||||
ENTITIES=$(curl -s -H "Authorization: Bearer $HA_TOKEN" "$HA_URL/api/states")
|
||||
|
||||
if [ -z "$ENTITIES" ] || echo "$ENTITIES" | jq -e '. == null' >/dev/null 2>&1; then
|
||||
echo "ERROR: Failed to fetch entities. Check token and connectivity."
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo ""
|
||||
echo "=== Entity Summary ==="
|
||||
echo "$ENTITIES" | jq -r '
|
||||
[.[] | {
|
||||
entity_id,
|
||||
state,
|
||||
friendly_name: (.attributes.friendly_name // ""),
|
||||
unit: (.attributes.unit_of_measurement // ""),
|
||||
device_class: (.attributes.device_class // ""),
|
||||
domain: (.entity_id | split(".")[0])
|
||||
}]
|
||||
| sort_by(.domain, .entity_id)
|
||||
| .[]
|
||||
| "\(.entity_id) | state=\(.state) | name=\(.friendly_name) | unit=\(.unit) | class=\(.device_class) | domain=\(.domain)"
|
||||
'
|
||||
|
||||
echo ""
|
||||
echo "=== Domains (entity types) ==="
|
||||
echo "$ENTITIES" | jq -r '[.[].entity_id | split(".")[0]] | unique | .[]'
|
||||
|
||||
echo ""
|
||||
echo "=== Entities with unit_of_measurement (likely sensor data in InfluxDB) ==="
|
||||
echo "$ENTITIES" | jq -r '
|
||||
[.[] | select(.attributes.unit_of_measurement != null) | {
|
||||
entity_id,
|
||||
unit: .attributes.unit_of_measurement,
|
||||
friendly_name: (.attributes.friendly_name // ""),
|
||||
device_class: (.attributes.device_class // "")
|
||||
}]
|
||||
| sort_by(.unit, .entity_id)
|
||||
| .[]
|
||||
| "\(.entity_id) | \(.unit) | \(.device_class) | \(.friendly_name)"
|
||||
'
|
||||
|
||||
echo ""
|
||||
echo "=== Device classes ==="
|
||||
echo "$ENTITIES" | jq -r '[.[].attributes.device_class | select(. != null)] | unique | .[]'
|
||||
|
||||
echo ""
|
||||
echo "=== Discovery complete ==="
|
||||
Executable
+98
@@ -0,0 +1,98 @@
|
||||
#!/bin/bash
|
||||
# discover-influxdb.sh — Query InfluxDB to discover measurements, fields, and tags
|
||||
# Usage: ./discover-influxdb.sh [namespace]
|
||||
# Requires: kubectl, curl, jq
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
NAMESPACE="${1:-influxdb}"
|
||||
INFLUXDB_TOKEN="enaiY9yaiWi6ahv0phoph3FaiphoGh"
|
||||
INFLUXDB_ORG="influxdata"
|
||||
INFLUXDB_BUCKET="default"
|
||||
LOCAL_PORT="8086"
|
||||
|
||||
echo "=== InfluxDB Discovery ==="
|
||||
echo "Namespace: $NAMESPACE"
|
||||
echo ""
|
||||
|
||||
# Start port-forward in background
|
||||
echo "→ Starting port-forward to influxdb-influxdb2..."
|
||||
kubectl -n "$NAMESPACE" port-forward "svc/influxdb-influxdb2" "$LOCAL_PORT:80" &>/dev/null &
|
||||
PF_PID=$!
|
||||
sleep 2
|
||||
|
||||
# Ensure cleanup on exit
|
||||
cleanup() {
|
||||
kill "$PF_PID" 2>/dev/null || true
|
||||
}
|
||||
trap cleanup EXIT
|
||||
|
||||
API="http://localhost:$LOCAL_PORT/api/v2/query?org=$INFLUXDB_ORG"
|
||||
AUTH="Authorization: Token $INFLUXDB_TOKEN"
|
||||
CT="Content-Type: application/vnd.flux"
|
||||
|
||||
echo ""
|
||||
echo "=== Measurements (tables) in bucket '$INFLUXDB_BUCKET' ==="
|
||||
curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "import \"influxdata/influxdb/schema\"
|
||||
schema.measurements(bucket: \"$INFLUXDB_BUCKET\")" \
|
||||
| jq -r '.[] | ._value' 2>/dev/null || echo "(no results or parse error)"
|
||||
|
||||
echo ""
|
||||
echo "=== Measurements with data in last 6 months ==="
|
||||
curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "from(bucket: \"$INFLUXDB_BUCKET\")
|
||||
|> range(start: -6mo)
|
||||
|> keep(columns: [\"_measurement\"])
|
||||
|> distinct()
|
||||
|> sort()" \
|
||||
| jq -r '.[] | ._value' 2>/dev/null || echo "(no results or parse error)"
|
||||
|
||||
echo ""
|
||||
echo "=== For each measurement: fields, tags, and sample count ==="
|
||||
|
||||
# Get measurements
|
||||
MEASUREMENTS=$(curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "import \"influxdata/influxdb/schema\"
|
||||
schema.measurements(bucket: \"$INFLUXDB_BUCKET\")" \
|
||||
| jq -r '.[] | ._value' 2>/dev/null)
|
||||
|
||||
for m in $MEASUREMENTS; do
|
||||
echo ""
|
||||
echo "--- Measurement: $m ---"
|
||||
|
||||
# Fields
|
||||
echo " Fields:"
|
||||
curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "import \"influxdata/influxdb/schema\"
|
||||
schema.measurementFieldKeys(bucket: \"$INFLUXDB_BUCKET\", measurement: \"$m\")" \
|
||||
| jq -r '.[] | " - \(._value)"' 2>/dev/null || echo " (none)"
|
||||
|
||||
# Tags
|
||||
echo " Tags:"
|
||||
curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "import \"influxdata/influxdb/schema\"
|
||||
schema.measurementTagKeys(bucket: \"$INFLUXDB_BUCKET\", measurement: \"$m\")" \
|
||||
| jq -r '.[] | " - \(._value)"' 2>/dev/null || echo " (none)"
|
||||
|
||||
# Tag values for entity_id (most common tag in HA data)
|
||||
echo " entity_id values (sample):"
|
||||
curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "import \"influxdata/influxdb/schema\"
|
||||
schema.tagValues(bucket: \"$INFLUXDB_BUCKET\", tag: \"entity_id\")
|
||||
|> filter(fn: (r) => r._measurement == \"$m\")
|
||||
|> limit(n: 20)" \
|
||||
| jq -r '.[] | " - \(._value)"' 2>/dev/null || echo " (none)"
|
||||
|
||||
# Sample count in last 6 months
|
||||
echo " Data points (last 6 months):"
|
||||
curl -s "$API" -H "$AUTH" -H "$CT" \
|
||||
-d "from(bucket: \"$INFLUXDB_BUCKET\")
|
||||
|> range(start: -6mo)
|
||||
|> filter(fn: (r) => r._measurement == \"$m\")
|
||||
|> count()" \
|
||||
| jq -r '.[] | " - \(._value)"' 2>/dev/null || echo " (none)"
|
||||
done
|
||||
|
||||
echo ""
|
||||
echo "=== Discovery complete ==="
|
||||
Reference in New Issue
Block a user