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thing_network.yml
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thing_network.yml
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apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
name: vigorous-dhawan-8d9001
spec:
color: '#0b3a8d'
name: thing_network
---
apiVersion: influxdata.com/v2alpha1
kind: Bucket
metadata:
name: terrifying-booth-8d9005
spec:
associations:
- kind: Label
name: vigorous-dhawan-8d9001
name: thing_network_stats
retentionRules:
- everySeconds: 2.592e+06
type: expire
---
apiVersion: influxdata.com/v2alpha1
kind: Variable
metadata:
name: lucid-khayyam-0d9003
spec:
associations:
- kind: Label
name: vigorous-dhawan-8d9001
language: flux
name: bucket
query: |-
buckets()
|> filter(fn: (r) => r.name !~ /^_/)
|> rename(columns: {name: "_value"})
|> keep(columns: ["_value"])
type: query
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
name: fasting-chatterjee-cd9001
spec:
associations:
- kind: Label
name: vigorous-dhawan-8d9001
charts:
- allowPanAndZoom: true
geoLayers:
- colorDimension:
label: Value
name: color
colorField: _value
intensityDimension:
name: intensity
layerType: pointMap
radiusDimension:
name: radius
viewColors:
- hex: '#7A65F2'
id: "0"
name: star
type: min
- hex: '#7A65F2'
id: "1"
name: star
type: text
value: 50
- hex: '#7A65F2'
id: "2"
name: star
type: max
value: 100
height: 4
kind: Geo
latLonColumns:
lat:
column: latitude
key: tag
lon:
column: longitude
key: tag
name: LoRaWAN Server
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "latitude" or r["_field"] == "longitude")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
|> map(fn: (r) => ({ r with _value: r.tenant_id }))
|> yield(name: "last")
s2Column: s2_cell_id
staticLegend: {}
width: 7
zoom: 6
- colors:
- hex: '#00C9FF'
id: base
name: laser
type: background
decimalPlaces: 2
height: 1
kind: Single_Stat
name: APPLICATION ID
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "application_id")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
staticLegend: {}
width: 1
yPos: 4
- axes:
- domain:
- -140
- -90
name: x
- name: "y"
binSize: 20
colors:
- hex: '#000004'
- hex: '#110a30'
- hex: '#320a5e'
- hex: '#57106e'
- hex: '#781c6d'
- hex: '#9a2865'
- hex: '#bc3754'
- hex: '#d84c3e'
- hex: '#ed6925'
- hex: '#f98e09'
- hex: '#fbb61a'
- hex: '#f4df53'
height: 3
kind: Heatmap
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: 'Correlation: RSSI and Airtime'
queries:
- query: |-
import "strings"
ca = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "consumed_airtime")
|> map(fn: (r) => ({
r with
_value: strings.trim(v: r._value, cutset: "s")
})
)
|>toFloat()
rssi = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "rssi")
join(tables: {consumed_airtime: ca, rssi: rssi}, on: ["_time"], method: "inner")
|> yield(name: "combined")
staticLegend: {}
width: 2
xCol: _value_rssi
yCol: _value_consumed_airtime
yPos: 8
- axes:
- name: x
binCount: 30
colors:
- hex: '#31C0F6'
id: PmJkOyIgcFZfNbz7V4HVr
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: IL4xnv1_DlsvaG0LHUznR
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: N9gc5P0ma9OruCHLfpzHL
name: Nineteen Eighty Four
type: scale
fillColumns:
- _start
- _stop
- device_id
height: 1
kind: Histogram
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Connectivity Cycle
position: stacked
queries:
- query: |-
import "contrib/tomhollingworth/events"
import "experimental"
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "confirmed")
|> group(columns: ["device_id"], mode:"by")
|> aggregateWindow(every: 1m, fn: last, createEmpty: false)
|> events.duration(
unit: 1m,
//stop: 2020-01-02T00:00:00Z
)
staticLegend: {}
width: 12
xCol: _time
yPos: 11
- colors:
- hex: '#F48D38'
id: base
name: tiger
type: background
decimalPlaces: 2
height: 1
kind: Single_Stat
name: CLUSTER ID
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "cluster_id")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
staticLegend: {}
width: 1
xPos: 1
yPos: 4
- colors:
- hex: '#BF3D5E'
id: base
name: ruby
type: background
decimalPlaces: 2
height: 1
kind: Single_Stat
name: NET ID
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "net_id")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
staticLegend: {}
width: 1
xPos: 2
yPos: 4
- axes:
- domain:
- -20
- 10
name: x
- name: "y"
binSize: 20
colors:
- hex: '#000004'
- hex: '#110a30'
- hex: '#320a5e'
- hex: '#57106e'
- hex: '#781c6d'
- hex: '#9a2865'
- hex: '#bc3754'
- hex: '#d84c3e'
- hex: '#ed6925'
- hex: '#f98e09'
- hex: '#fbb61a'
- hex: '#f4df53'
height: 3
kind: Heatmap
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: 'Correlation: SNR and Airtime'
queries:
- query: |-
import "strings"
ca = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "consumed_airtime")
|> map(fn: (r) => ({
r with
_value: strings.trim(v: r._value, cutset: "s")
})
)
|>toFloat()
snr = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "snr")
join(tables: {consumed_airtime: ca, snr: snr}, on: ["_time"], method: "inner")
|> yield(name: "combined")
staticLegend: {}
width: 2
xCol: _value_snr
xPos: 2
yCol: _value_consumed_airtime
yPos: 8
- colors:
- hex: '#32B08C'
id: base
name: viridian
type: background
decimalPlaces: 2
height: 1
kind: Single_Stat
name: BAND ID
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "band_id")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
staticLegend: {}
width: 2
xPos: 3
yPos: 4
- axes:
- domain:
- -140
- -90
name: x
- name: "y"
binSize: 20
colors:
- hex: '#000004'
- hex: '#110a30'
- hex: '#320a5e'
- hex: '#57106e'
- hex: '#781c6d'
- hex: '#9a2865'
- hex: '#bc3754'
- hex: '#d84c3e'
- hex: '#ed6925'
- hex: '#f98e09'
- hex: '#fbb61a'
- hex: '#f4df53'
height: 3
kind: Heatmap
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: 'Correlation: SNR and RSSI'
queries:
- query: |-
import "strings"
rssi = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "rssi")
snr = from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "snr")
join(tables: {rssi: rssi, snr: snr}, on: ["_time"], method: "inner")
|> yield(name: "combined")
staticLegend: {}
width: 3
xCol: _value_rssi
xPos: 4
yCol: _value_snr
yPos: 8
- colors:
- hex: '#4591ED'
id: base
name: ocean
type: background
decimalPlaces: 2
height: 1
kind: Single_Stat
name: SESSION KEY ID
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "session_key_id")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
staticLegend: {}
width: 2
xPos: 5
yPos: 4
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorizeRows: true
colors:
- hex: '#00C9FF'
id: base
name: laser
type: text
decimalPlaces: 2
height: 2
hoverDimension: auto
kind: Single_Stat_Plus_Line
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Device Bandwidth
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "bandwidth")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "mean")
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 5
widthRatio: 1
xCol: _time
xPos: 7
yCol: _value
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: 48b90174-24fb-4664-abcc-db3ba9d3f9b0
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: c820f98e-ea64-4f0d-9524-6ce635894fcf
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: 9a6fef4c-ce7b-49dd-a485-0748a148b88b
name: Nineteen Eighty Four
type: scale
geom: line
height: 3
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Consumed Airtime
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
import "strings"
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "consumed_airtime")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> map(fn: (r) => ({
r with
_value: strings.trim(v: r._value, cutset: "s")
})
)
|>toFloat()
|> yield(name: "last")
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 5
widthRatio: 1
xCol: _time
xPos: 7
yCol: _value
yPos: 2
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: sP9o_lGb_Rd7sLdR0T4H1
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: X4yIEmwF7P6LG6sMSuB3g
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: usz4K7dpl-9TMridYLUsg
name: Nineteen Eighty Four
type: scale
geom: line
height: 3
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Channel RSSI
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "rssi")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
shade: true
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 5
widthRatio: 1
xCol: _time
xPos: 7
yCol: _value
yPos: 5
- axes:
- base: "10"
name: x
scale: linear
- base: "10"
name: "y"
scale: linear
colorMapping: {}
colorizeRows: true
colors:
- hex: '#31C0F6'
id: sP9o_lGb_Rd7sLdR0T4H1
name: Nineteen Eighty Four
type: scale
- hex: '#A500A5'
id: X4yIEmwF7P6LG6sMSuB3g
name: Nineteen Eighty Four
type: scale
- hex: '#FF7E27'
id: usz4K7dpl-9TMridYLUsg
name: Nineteen Eighty Four
type: scale
geom: line
height: 3
hoverDimension: auto
kind: Xy
legendColorizeRows: true
legendOpacity: 1
legendOrientationThreshold: 1e+08
name: Channel SNR
opacity: 1
orientationThreshold: 1e+08
position: overlaid
queries:
- query: |-
from(bucket: v.bucket)
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "thing_network")
|> filter(fn: (r) => r["_field"] == "snr")
|> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)
|> yield(name: "last")
shade: true
staticLegend:
colorizeRows: true
opacity: 1
orientationThreshold: 1e+08
widthRatio: 1
width: 5
widthRatio: 1
xCol: _time
xPos: 7
yCol: _value
yPos: 8
description: Thing Network device stats. Based on MQTT output from community addition.
name: Thing Network
---
apiVersion: influxdata.com/v2alpha1
kind: Telegraf
metadata:
name: thing-network
spec:
name: thing-network
config: |
# Telegraf Configuration
#
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply surround
# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})
# Global tags can be specified here in key="value" format.
[global_tags]
# dc = "us-east-1" # will tag all metrics with dc=us-east-1
# rack = "1a"
## Environment variables can be used as tags, and throughout the config file
# user = "$USER"
# Configuration for telegraf agent
[agent]
## Default data collection interval for all inputs
interval = "5s"
## Rounds collection interval to 'interval'
## ie, if interval="10s" then always collect on :00, :10, :20, etc.
round_interval = true
## Telegraf will send metrics to outputs in batches of at most
## metric_batch_size metrics.
## This controls the size of writes that Telegraf sends to output plugins.
metric_batch_size = 1000
## Maximum number of unwritten metrics per output. Increasing this value
## allows for longer periods of output downtime without dropping metrics at the
## cost of higher maximum memory usage.
metric_buffer_limit = 10000
## Collection jitter is used to jitter the collection by a random amount.
## Each plugin will sleep for a random time within jitter before collecting.
## This can be used to avoid many plugins querying things like sysfs at the
## same time, which can have a measurable effect on the system.
collection_jitter = "5s"
## Default flushing interval for all outputs. Maximum flush_interval will be
## flush_interval + flush_jitter
flush_interval = "10s"
## Jitter the flush interval by a random amount. This is primarily to avoid
## large write spikes for users running a large number of telegraf instances.
## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
flush_jitter = "5s"
## By default or when set to "0s", precision will be set to the same
## timestamp order as the collection interval, with the maximum being 1s.
## ie, when interval = "10s", precision will be "1s"
## when interval = "250ms", precision will be "1ms"
## Precision will NOT be used for service inputs. It is up to each individual
## service input to set the timestamp at the appropriate precision.
## Valid time units are "ns", "us" (or "µs"), "ms", "s".
precision = ""
## Override default hostname, if empty use os.Hostname()
hostname = ""
## If set to true, do no set the "host" tag in the telegraf agent.
omit_hostname = false
debug = true
quiet = false
###############################################################################
# OUTPUT PLUGINS #
###############################################################################
# Configuration for sending metrics to InfluxDB 2.0
[[outputs.influxdb_v2]]
alias = "thing_network_stats_bucket"
namepass = ["thing_network"]
## The URLs of the InfluxDB cluster nodes.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
urls = ["${INFLUX_HOST}"]
## Token for authentication.
token = "${INFLUX_TOKEN}"
## Organization is the name of the organization you wish to write to.
organization = "${INFLUX_ORG}"
## Destination bucket to write into.
bucket = "${INFLUX_BUCKET}"
###############################################################################
# INPUT PLUGINS #
###############################################################################
#THING NETWORK META DATA#
[[inputs.mqtt_consumer]]
alias = "thing_network_consumer"
name_override = "thing_network"
servers = ["tcp://eu1.cloud.thethings.network:1883"]
topics = ["#"]
max_undelivered_messages = 1
username = "${THING_USERNAME}"
password = "${THING_API_KEY}"
data_format = "json_v2"
[[inputs.mqtt_consumer.json_v2]]
[[inputs.mqtt_consumer.json_v2.tag]]
path = "@this.end_device_ids.device_id"
[[inputs.mqtt_consumer.json_v2.object]]
path = "end_device_ids"
disable_prepend_keys = true
[[inputs.mqtt_consumer.json_v2.object]]
path = "uplink_message"
disable_prepend_keys = true
excluded_keys = ["time", "timestamp"]
[[inputs.mqtt_consumer.json_v2.object]]
path = "uplink_message.rx_metadata"
disable_prepend_keys = true
excluded_keys = ["time", "timestamp"]