From 9de1930bd6a63cc17127e6024b1b881af6b5eba8 Mon Sep 17 00:00:00 2001 From: abalone23 Date: Wed, 10 Mar 2021 10:31:38 -0800 Subject: [PATCH] add earthquake monitoring template Signed-off-by: abalone23 --- README.md | 1 + earthquake_usgs/earthquake_monitoring.png | Bin 0 -> 927725 bytes earthquake_usgs/earthquake_usgs_headers.csv | 4 + earthquake_usgs/earthquake_usgs_template.yml | 860 +++++++++++++++++++ earthquake_usgs/readme.md | 130 +++ 5 files changed, 995 insertions(+) create mode 100644 earthquake_usgs/earthquake_monitoring.png create mode 100755 earthquake_usgs/earthquake_usgs_headers.csv create mode 100644 earthquake_usgs/earthquake_usgs_template.yml create mode 100644 earthquake_usgs/readme.md diff --git a/README.md b/README.md index 95f43f7e..6622c0ab 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,7 @@ Start by reading [how to use a template](docs/use_a_template.md), then check eac | [Docker](docker/) | Monitor your running docker containers. | [@russorat](https://github.com/russorat) | | [Docker Hub](dockerhub/) | Track the stats of your Docker Hub Images | [Ignacio Van Droogenbroeck](https://github.com/xe-nvdk) | | [Downsampling](downsampling/) | Downsample common Telegraf metrics. | [@russorat](https://github.com/russorat) | +| [Earthquake Monitoring](earthquake_usgs/) | Monitor earthquakes via USGS web service. | [@abalone23](https://github.com/abalone23) | | [Endpoint Security State](endpoint-security-state/) | Watch endpoint authentication availability and certificate status | [Darin Fisher](https://github.com/darinfisher) | | [Enviro+](enviro_plus/) | View the air quality readings from a Pimoroni Enviro+ particulate matter sensor. | Russ Savage | | [Fail2Ban](fail2ban/) | Monitor your Fail2Ban instance on multiple hosts and services. | [bonitoo.io](.) | diff --git a/earthquake_usgs/earthquake_monitoring.png b/earthquake_usgs/earthquake_monitoring.png new file mode 100644 index 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zZihv3i=I4M@xT|0rK3vp66!do3sgY{Xm>DdCxRSSUtE)>v&B}V?Mo9EV6Vdu1DM(Q z8bBMCpWOZAX%X9_%NKlrlv%CrM&Fk(OHA-mzUOiNO(DL6N+b`Ke~jtCpPrTh?wN*7 G=zjnc3RKDf literal 0 HcmV?d00001 diff --git a/earthquake_usgs/earthquake_usgs_headers.csv b/earthquake_usgs/earthquake_usgs_headers.csv new file mode 100755 index 00000000..729235ea --- /dev/null +++ b/earthquake_usgs/earthquake_usgs_headers.csv @@ -0,0 +1,4 @@ +#datatype,string,long,dateTime:RFC3339,double,double,double,double,string,long,double,double,double,string,string,string,string,string,double,double,double,long,string,string,string +#group,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false +#default,,,,,,,,,,,,,,,,,,,,,,,, + diff --git a/earthquake_usgs/earthquake_usgs_template.yml b/earthquake_usgs/earthquake_usgs_template.yml new file mode 100644 index 00000000..66153c73 --- /dev/null +++ b/earthquake_usgs/earthquake_usgs_template.yml @@ -0,0 +1,860 @@ +apiVersion: influxdata.com/v2alpha1 +kind: Label +metadata: + name: cool-rubin-a05001 +spec: + color: '#BF3D5E' + name: earthquake +--- +apiVersion: influxdata.com/v2alpha1 +kind: Bucket +metadata: + name: righteous-bardeen-e05001 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + name: apis + retentionRules: + - everySeconds: 2.592e+06 + type: expire +--- +apiVersion: influxdata.com/v2alpha1 +kind: Task +metadata: + name: busy-lewin-205001 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + every: 1m + name: Earthquake Alerts + offset: 20s + query: |- + import "influxdata/influxdb/schema" + import "strings" + import "experimental/geo" + import "slack" + import "date" + import "math" + import "regexp" + import "experimental" + import "dict" + + global_mag_threshold = 6 + regional_mag_threshold = 3 + units = "mile" + tz = "PST" + city = "San Francisco:37.7576948:-122.4726194" + city_radius = 1000.0 + alert_delay_min = 5 + slack_webhook = "https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX" + sendSlackMessage = (text) => + (slack.message( + url: slack_webhook, + token: "", + channel: "", + text: text, + color: "danger", + )) + distance_to_string = (distance, place) => + (if distance > 0.0 then if units == "km" then string(v: distance) + " km " + place else string(v: math.round(x: distance * 0.621371)) + " mi " + place else place) + depth_to_string = (n) => + (if n > 0.0 then if units == "km" then string(v: math.round(x: n)) + " km" else string(v: math.round(x: n * 0.621371)) + " mi" else "") + tz_dictionary = dict.fromList(pairs: [{key: "PST", value: "-8h"}, {key: "PDT", value: "-7h"}, {key: "CST", value: "-6h"}, {key: "EST", value: "-5h"}, {key: "EDT", value: "-4h"}, {key: "UTC", value: "0h"}]) + tz_dur = duration(v: dict.get(dict: tz_dictionary, key: tz, default: "0h")) + city_coordinates = strings.split(v: city, t: ":") + city_name = city_coordinates[1] + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + alert_delay = duration(v: string(v: alert_delay_min * (-2)) + "m") + stop = experimental.addDuration(to: now(), d: task.offset) + alerted_ids = from(bucket: "apis") + |> range(start: -2d, stop: stop) + |> filter(fn: (r) => + (r._measurement == "earthquake_alert_log")) + |> group() + |> unique() + |> findColumn(fn: (key) => + (true), column: "id") + global = from(bucket: "apis") + |> range(start: -30m, stop: alert_delay) + |> filter(fn: (r) => + (r["_measurement"] == "earthquake_stats")) + |> schema.fieldsAsCols() + |> filter(fn: (r) => + (r["type"] == "earthquake" and r["status"] != "deleted")) + |> filter(fn: (r) => + (r["mag"] >= global_mag_threshold)) + regional = from(bucket: "apis") + |> range(start: -30m, stop: alert_delay) + |> filter(fn: (r) => + (r["_measurement"] == "earthquake_stats")) + |> schema.fieldsAsCols() + |> filter(fn: (r) => + (r["type"] == "earthquake" and r["status"] != "deleted")) + |> filter(fn: (r) => + (r["mag"] >= regional_mag_threshold)) + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + + union(tables: [global, regional]) + |> filter(fn: (r) => + (not contains(set: alerted_ids, value: r["id"]))) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> map(fn: (r) => + ({r with local_time: experimental.addDuration(d: tz_dur, to: r._time)})) + |> map(fn: (r) => + ({r with mag: math.round(x: r.mag * 10.0) / 10.0})) + |> map(fn: (r) => + ({r with place: distance_to_string(distance: r.distance, place: r.place)})) + |> map(fn: (r) => + ({r with depth: depth_to_string(n: r.depth)})) + |> map(fn: (r) => + ({r with newColumn: sendSlackMessage(text: "*Earthquake Alert* + M *${string(v: r.mag)}* — *${string(v: r.place)}* + *${regexp.replaceAllString(r: /:\d{2}\..*/, v: string(v: r.local_time), t: "")}* (${tz}) | *${string(v: r.depth)}* depth + :globe_with_meridians: | ")})) + |> keep(columns: ["_time", "id"]) + |> set(key: "_measurement", value: "earthquake_alert_log") + |> set(key: "processed_at", value: string(v: now())) + |> group(columns: ["id"]) + |> to(bucket: "apis", fieldFn: (r) => + ({"processed_at": r.processed_at})) + status: inactive +--- +apiVersion: influxdata.com/v2alpha1 +kind: Task +metadata: + name: cool-goldwasser-605001 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + every: 1m + name: Earthquake Feed Ingestion + query: |- + import "experimental/http" + import "experimental" + import "csv" + import "strings" + import "regexp" + import "experimental/geo" + import "experimental/array" + import "date" + import "math" + import "dict" + + onedayago = strings.trimSuffix(v: string(v: date.truncate(t: experimental.subDuration(d: 1d, from: now()), unit: 1m)), suffix: ".000000000Z") + csv_headers_url = "https://raw.githubusercontent.com/influxdata/community-templates/master/earthquake_usgs/earthquake_usgs_headers.csv" + csv_headers = string(v: http.get(url: csv_headers_url).body) + csv_data_url = "https://earthquake.usgs.gov/fdsnws/event/1/query?format=csv&starttime=" + onedayago + "&includedeleted=true&orderby=time-asc" + csv_data = string(v: http.get(url: csv_data_url).body) + csv_data_clean = ",result,table," + strings.trim(v: csv_data, cutset: "\n") + csv_data_newline = regexp.replaceAllString(r: /\n/, v: csv_data_clean, t: "\n,,0,") + csv_all = csv_headers + csv_data_newline + states = ["Alaska", "California", "CA", "Hawaii", "Idaho", "Kansas", "New Mexico", "Nevada", "North Carolina", "Oklahoma", "Oregon", "Washington", "Utah"] + countries_dictionary = dict.fromList(pairs: [{key: "MX", value: "Mexico"}]) + + csv.from(csv: csv_all) + |> set(key: "_measurement", value: "earthquake_stats") + |> rename(columns: {time: "_time", latitude: "lat", longitude: "lon"}) + |> truncateTimeColumn(unit: 1s) + |> drop(columns: ["locationSource"]) + |> map(fn: (r) => + ({r with place_km: regexp.replaceAllString(r: /^0\s?km /, v: r.place, t: "")})) + |> map(fn: (r) => + ({r with s2_cell_id: geo.s2CellIDToken(point: {lon: r.lon, lat: r.lat}, level: 10)})) + |> map(fn: (r) => + ({r with place: if strings.containsStr(v: r.place_km, substr: "km") then regexp.replaceAllString(r: /\d+\s?km/, v: r.place_km, t: "") else r.place_km, distance: if strings.containsStr(v: r.place_km, substr: "km") then float(v: regexp.replaceAllString(r: /(\d+)\s?km.*/, v: r.place_km, t: "$1")) else 0.0, country: regexp.replaceAllString(r: /^.*,\s?/, v: r.place_km, t: "")})) + |> map(fn: (r) => + ({r with country: if contains(value: r.country, set: states) then "United States" else r.country})) + |> map(fn: (r) => + ({r with country: dict.get(dict: countries_dictionary, key: r.country, default: r.country)})) + |> group(columns: ["_measurement", "magSource"]) + |> experimental.to(bucket: "apis") + array.from(rows: [{_time: date.truncate(t: now(), unit: 1d), id: "abc", _measurement: "earthquake_alert_log"}]) + |> group(columns: ["id"]) + |> to(bucket: "apis", fieldFn: (r) => + ({"processed_at": string(v: now())})) + status: active +--- +apiVersion: influxdata.com/v2alpha1 +kind: Variable +metadata: + name: exciting-khorana-605009 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + name: Radius + selected: + - "1000" + type: constant + values: + - "50" + - "100" + - "500" + - "1000" + - "2000" +--- +apiVersion: influxdata.com/v2alpha1 +kind: Variable +metadata: + name: gallant-faraday-605011 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + name: Magnitude_Threshold + selected: + - "1" + type: map + values: + "0": "0" + "1": "1" + "2": "2" + "3": "3" + "4": "4" + "5": "5" + "6": "6" + "7": "7" +--- +apiVersion: influxdata.com/v2alpha1 +kind: Variable +metadata: + name: pensive-hypatia-60500d +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + name: Units + selected: + - mi + type: map + values: + km: km + mi: mile +--- +apiVersion: influxdata.com/v2alpha1 +kind: Variable +metadata: + name: ridiculous-dhawan-605005 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + name: Location + selected: + - San Francisco, CA + type: map + values: + Hilo, HI: Hilo, HI:19.6865946:-155.124954 + Los Angeles, CA: Los Angeles, CA:34.0201613:-118.6919149 + Oklahoma City, OK: Oklahoma City, OK:35.482567:-97.6192807 + San Francisco, CA: San Francisco, CA:37.7576948:-122.4726194 + Tokyo, Japan: Tokyo, Japan:35.48847:137.5263065 + World: World:0.0:0.0 +--- +apiVersion: influxdata.com/v2alpha1 +kind: Dashboard +metadata: + name: tender-franklin-205001 +spec: + associations: + - kind: Label + name: cool-rubin-a05001 + charts: + - colors: + - hex: '#292933' + id: base + name: castle + type: background + decimalPlaces: 2 + height: 1 + kind: Single_Stat + name: Location + queries: + - query: |- + import "strings" + import "dict" + import "experimental/array" + + globe_dictionary = dict.fromList(pairs: [ + {key: "Hilo, HI", value: "🌋"}, + {key: "Los Angeles, CA", value: "🏖️"}, + {key: "Oklahoma City, OK", value: "🌪️"}, + {key: "San Francisco, CA", value: "🌉"}, + {key: "Tokyo, Japan", value: "🗾"} + ]) + + city_name = strings.split(v: v.Location, t: ":")[0] + full_location = dict.get(dict: globe_dictionary, key: city_name, default: "🌐") + " " + city_name + + array.from(rows: [{_value: full_location}]) + width: 3 + - height: 3 + kind: Markdown + name: Name this Cell + note: |- + # Earthquakes + Latest earthquake data reported by United States Geological Survey (USGS). + Filter by _magnitude_, _location_, _radius (km/mi)_, and _time_. + + https://www.usgs.gov/natural-hazards/earthquake-hazards/earthquakes + width: 3 + yPos: 1 + - axes: + - base: "10" + name: x + scale: linear + - label: Richter Magnitude + name: y + scale: linear + colors: + - hex: '#DC4E58' + id: 724cfce2-7781-4589-968c-3435e90e45f0 + name: Solid Red + type: scale + - hex: '#DC4E58' + id: 083e1a67-9db1-4155-a003-976e43b0de23 + name: Solid Red + type: scale + - hex: '#DC4E58' + id: 67870962-fd23-4c64-b4dd-663ee83ab099 + name: Solid Red + type: scale + geom: step + height: 4 + hoverDimension: auto + kind: Xy + legendColorizeRows: true + legendOpacity: 1 + legendOrientationThreshold: 1e+08 + name: Earthquake Magnitudes + position: overlaid + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "strings" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> rename(columns: {mag: "_value"}) + |> aggregateWindow(every: v.windowPeriod, fn: max, createEmpty: false) + width: 7 + xCol: _time + yCol: _value + yPos: 4 + - colors: + - hex: '#7CE490' + id: "0" + name: honeydew + type: min + - hex: '#FFD255' + id: 14bce210-963e-45a7-aa6c-022f918de120 + name: thunder + type: threshold + value: 2 + - hex: '#FFB94A' + id: 159e2f90-c190-4441-a047-34973ce4d1d0 + name: pineapple + type: threshold + value: 3 + - hex: '#F48D38' + id: fc136d13-af0d-4f9f-af0f-ab6f77253993 + name: tiger + type: threshold + value: 4 + - hex: '#F95F53' + id: 5adb5c02-73da-44ba-acce-4235febdf4c8 + name: curacao + type: threshold + value: 5 + - hex: '#DC4E58' + id: e3d3a708-d87b-4359-9d79-6c107ac051f4 + name: fire + type: threshold + value: 6 + - hex: '#BF3D5E' + id: b3ff1863-906e-4eaa-be5d-a99df2cdc665 + name: ruby + type: threshold + value: 7 + - hex: '#9394FF' + id: "1" + name: comet + type: max + value: 10 + decimalPlaces: 1 + height: 3 + kind: Gauge + name: Highest Magnitude Earthquake + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "strings" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: { lat: city_lat, lon: city_lon, radius: city_radius }) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> max(column: "mag") + |> keep(columns: ["mag"]) + tickPrefix: "false" + width: 3 + xPos: 3 + - colors: + - hex: '#22ADF6' + id: base + name: pool + type: text + decimalPlaces: 2 + height: 1 + kind: Single_Stat + name: Highest Magnitude Location + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "experimental" + import "strings" + import "regexp" + import "math" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + distance_to_string = (distance, place, country) => + if distance > 0.0 then + if v.Units == "km" then + string(v: distance) + " km " + place + else + string(v: math.round(x: distance * 0.621371)) + " mi " + place + else + place + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> max(column: "mag") + |> map(fn: (r) => ({ r with place: distance_to_string(distance: r.distance, place: r.place, country: r.country) })) + |> keep(columns: ["place"]) + width: 4 + xPos: 3 + yPos: 3 + - colors: + - hex: '#22ADF6' + id: base + name: pool + type: background + decimalPlaces: 0 + height: 1 + kind: Single_Stat + name: '# Quakes' + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "strings" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> count(column: "mag") + width: 1 + xPos: 6 + - colors: + - hex: '#7CE490' + id: base + name: honeydew + type: text + - hex: '#FFD255' + id: 0a6448ef-3c5d-49f3-8fb1-08491c3a0e3f + name: thunder + type: text + value: 2 + - hex: '#FFB94A' + id: f6d517be-87e7-4c6d-8eca-142adcc4ed36 + name: pineapple + type: text + value: 3 + - hex: '#F48D38' + id: 5de2478b-5b70-463c-928d-be374a1ad1b5 + name: tiger + type: text + value: 4 + - hex: '#F95F53' + id: 7b606088-50bd-4ab5-a6eb-53435f0cbbde + name: curacao + type: text + value: 5 + - hex: '#DC4E58' + id: 6d523420-9b54-4341-8276-73b8a5ff9527 + name: fire + type: text + value: 6 + - hex: '#BF3D5E' + id: e0c31ae2-3b98-4fdc-af59-b410f9329cfd + name: ruby + type: text + value: 7 + decimalPlaces: 1 + height: 1 + kind: Single_Stat + name: Avg. Magnitude + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "strings" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> mean(column: "mag") + width: 1 + xPos: 6 + yPos: 1 + - colors: + - hex: '#7CE490' + id: base + name: honeydew + type: text + - hex: '#FFD255' + id: 0a6448ef-3c5d-49f3-8fb1-08491c3a0e3f + name: thunder + type: text + value: 2 + - hex: '#FFB94A' + id: f6d517be-87e7-4c6d-8eca-142adcc4ed36 + name: pineapple + type: text + value: 3 + - hex: '#F48D38' + id: 5de2478b-5b70-463c-928d-be374a1ad1b5 + name: tiger + type: text + value: 4 + - hex: '#F95F53' + id: 7b606088-50bd-4ab5-a6eb-53435f0cbbde + name: curacao + type: text + value: 5 + - hex: '#DC4E58' + id: 6d523420-9b54-4341-8276-73b8a5ff9527 + name: fire + type: text + value: 6 + - hex: '#BF3D5E' + id: e0c31ae2-3b98-4fdc-af59-b410f9329cfd + name: ruby + type: text + value: 7 + decimalPlaces: 1 + height: 1 + kind: Single_Stat + name: Avg. Depth + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "strings" + import "math" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + depth_to_string = (n) => + if n > 0.0 then + if v.Units == "km" then + string(v: math.round(x: n)) + " km" + else + string(v: math.round(x: n * 0.621371)) + " mi" + else + "" + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> mean(column: "depth") + |> map(fn: (r) => ({ r with depth: depth_to_string(n: r.depth) })) + width: 1 + xPos: 6 + yPos: 2 + - colors: + - hex: '#7CE490' + id: base + name: honeydew + type: background + - hex: '#FFD255' + id: eeddc270-082c-4b6f-88e4-ae991b4c6ee4 + name: thunder + type: background + value: 2 + - hex: '#FFB94A' + id: ff426588-93d6-4280-b8c1-15f7814b70cc + name: pineapple + type: background + value: 3 + - hex: '#F48D38' + id: 809e3435-efb7-4cb2-ac9e-a9939039b3bd + name: tiger + type: background + value: 4 + - hex: '#F95F53' + id: b7e59a75-69b5-4c31-aa1d-09a64c76855a + name: curacao + type: background + value: 5 + - hex: '#DC4E58' + id: 3e8ff02e-1c44-48d3-84ba-341602ff45e2 + name: fire + type: background + value: 6 + - hex: '#BF3D5E' + id: 30659068-3458-4a11-bf73-c201e5a472e9 + name: ruby + type: background + value: 7 + fieldOptions: + - displayName: Time + fieldName: Time + visible: true + - displayName: Magnitude + fieldName: Magnitude + visible: true + - displayName: Location + fieldName: Location + visible: true + - displayName: id + fieldName: id + visible: true + - displayName: updated + fieldName: updated + visible: true + - displayName: _measurement + fieldName: _measurement + visible: true + - displayName: _start + fieldName: _start + visible: true + - displayName: _stop + fieldName: _stop + visible: true + - displayName: country + fieldName: country + visible: true + - displayName: depth + fieldName: depth + visible: true + - displayName: depthError + fieldName: depthError + visible: true + - displayName: distance + fieldName: distance + visible: true + - displayName: dmin + fieldName: dmin + visible: true + - displayName: gap + fieldName: gap + visible: true + - displayName: horizontalError + fieldName: horizontalError + visible: true + - displayName: lat + fieldName: lat + visible: true + - displayName: locationSource + fieldName: locationSource + visible: true + - displayName: lon + fieldName: lon + visible: true + - displayName: magError + fieldName: magError + visible: true + - displayName: magNst + fieldName: magNst + visible: true + - displayName: magSource + fieldName: magSource + visible: true + - displayName: magType + fieldName: magType + visible: true + - displayName: net + fieldName: net + visible: true + - displayName: nst + fieldName: nst + visible: true + - displayName: place_km + fieldName: place_km + visible: true + - displayName: rms + fieldName: rms + visible: true + - displayName: s2_cell_id + fieldName: s2_cell_id + visible: true + - displayName: status + fieldName: status + visible: true + - displayName: type + fieldName: type + visible: true + height: 8 + kind: Table + name: Recent Earthquakes + queries: + - query: |- + import "influxdata/influxdb/schema" + import "experimental/geo" + import "experimental" + import "strings" + import "math" + import "regexp" + + option geo.units = {distance: v.Units} + + city_coordinates = strings.split(v: v.Location, t: ":") + city_lat = float(v: city_coordinates[1]) + city_lon = float(v: city_coordinates[2]) + + city_radius = if city_lat == 0.0 then 100000.0 else float(v: v.Radius) + + mag_threshold = float(v: v.Magnitude_Threshold) + + distance_to_string = (distance, place, country) => + if distance > 0.0 then + if v.Units == "km" then + string(v: distance) + " km " + place + else + string(v: math.round(x: distance * 0.621371)) + " mi " + place + else + place + + from(bucket: "apis") + |> range(start: v.timeRangeStart, stop: v.timeRangeStop) + |> filter(fn: (r) => r["_measurement"] == "earthquake_stats") + |> schema.fieldsAsCols() + |> filter(fn: (r) => exists r["s2_cell_id"]) + |> filter(fn: (r) => r["type"] == "earthquake" and r["status"] != "deleted") + |> filter(fn: (r) => r["mag"] >= mag_threshold, onEmpty: "keep") + |> geo.strictFilter(region: {lat: city_lat, lon: city_lon, radius: city_radius}) + |> group(columns: ["id"]) + |> last(column: "id") + |> group() + |> map(fn: (r) => ({ r with mag: math.round(x: r.mag * 10.0) / 10.0 })) + |> map(fn: (r) => ({ r with place: distance_to_string(distance: r.distance, place: r.place, country: r.country) })) + |> keep(columns: ["mag", "place", "_time"]) + |> rename(columns: {mag: "Magnitude", place: "Location", _time: "Time"}) + |> sort(columns: ["Time"], desc: true) + tableOptions: + verticalTimeAxis: true + timeFormat: YYYY-MM-DD HH:mm:ss + width: 5 + xPos: 7 + description: via USGS earthquake feed + name: Earthquake Command Center diff --git a/earthquake_usgs/readme.md b/earthquake_usgs/readme.md new file mode 100644 index 00000000..4f9bd7f7 --- /dev/null +++ b/earthquake_usgs/readme.md @@ -0,0 +1,130 @@ +# Earthquake Command Center + +Provided by: Adam Silverman + +This InfluxDB template uses the [United States Geological Survey (USGS) web service](https://earthquake.usgs.gov/fdsnws/event/1/) to monitor earthquakes around the world. The dashboard displays earthquakes that can be filtered based on `magnitude`, `location`, `location radius` (km or miles), and `time`. + +Feed consumption is performed within an automated task so it is entirely serverless when run within [InfluxDB Cloud](https://www.influxdata.com/products/influxdb-cloud/). [Telegraf](https://www.influxdata.com/time-series-platform/telegraf/), [client libraries](https://docs.influxdata.com/influxdb/cloud/tools/client-libraries/) and the [CLI](https://docs.influxdata.com/influxdb/cloud/tools/clis/) are **not** required. Additional data cleansing and shaping operations are performed using Flux. [[1]](https://www.github.com/influxdata/community-templates/tree/master/earthquake_usgs#additional-notes) + +Slacks alerts are sent via a task, with customizable options such as separate magnitude thresholds for global and regional earthquakes, time zones, and delayed triggering. Links to the associated USGS earthquake summary and Google Maps pages are listed as well. [[2]](https://www.github.com/influxdata/community-templates/tree/master/earthquake_usgs#tasks) + +**Dashboard** +![Earthquake Monitoring Dashboard](earthquake_monitoring.png) + +### Installation +In the InfluxDB UI, go to Settings->Templates and enter this URL: https://raw.githubusercontent.com/influxdata/community-templates/master/earthquake_usgs/earthquake_usgs_template.yml + +Although the CLI is not required, if you have your InfluxDB credentials +[configured in the CLI](https://v2.docs.influxdata.com/v2.0/reference/cli/influx/config/), +you can install this template with: + +```sh +influx apply -u https://raw.githubusercontent.com/influxdata/community-templates/master/earthquake_usgs/earthquake_usgs_template.yml +``` + +## Included Resources + - 1 Bucket: `apis`, 30d retention + - 1 Label: `Earthquake` + - 2 Tasks: `Earthquake Feed Ingestion`, `Earthquake Alerts` + - 1 Dashboard: `Earthquake Command Center` + - 4 Variables: `Magnitude_Threshold`, `Location`, `Radius`, and `Units` + +## Customizations +### Dashboard + +The dashboard features the following locations to filter on: +- Hilo, Hawaii +- Los Angeles, California +- Oklahoma City, Oklahoma +- San Francisco, California +- Tokyo, Japan +- World + +Additonal locations (with coordinates) can be added in the InfluxDB UI Settings->Variables->`Location` variable. Geographic coordinates can be found by entering the city in [Google Maps](https://www.google.com/maps/). + +[Location emojis](https://emojipedia.org/travel-places/) used in the dashboard are stored in a [Flux dictionary](https://docs.influxdata.com/influxdb/v2.0/reference/flux/stdlib/dict/): +``` +globe_dictionary = dict.fromList(pairs: [ + {key: "Hilo, HI", value: "🌋"}, + {key: "Los Angeles, CA", value: "🏖️"}, + {key: "Oklahoma City, OK", value: "🌪️"}, + {key: "San Francisco, CA", value: "🌉"}, + {key: "Tokyo, Japan", value: "🗾"} +]) +``` +From [USGS FAQ](https://www.usgs.gov/faqs/why-earthquake-was-reportedrecorded-network-x-or-i-felt-not-latest-earthquakes-maplist): "earthquakes smaller than 5.0 outside the U.S. [may not be recorded] unless they have caused significant damage or are widely felt (earthquakes this small rarely cause significant damage)" + +### Tasks +The `Earthquake Alerts` task is disabled by default since it requires a valid [Slack webhook](https://api.slack.com/messaging/webhooks) to send alerts. +Edit the task to update the webhook: +``` +slack_webhook = https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX +``` + +Additional options may be configured as well: + +- `global_mag_threshold` + - Default: `6` + - Options: `0`, `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10` + - Minimum earthquake magnitude to trigger an alert for a global earthquake +- `regional_mag_threshold` + - Default: `3` + - Options: `0`, `1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10` + - Minimum earthquake magnitude to trigger an alert for a regional earthquake +- `units` + - Default: `miles` + - Options: `miles`, `km` + - Unit to display earthquake depth and distance +- `tz` + - Default: `PST` + - Options: `UTC`, `EST`, `EDT`, `CST`, `PST`, `PDT` + - Timezone to display earthquake event +- `city` + - Default: `San Francisco:37.7576948:-122.4726194` + - City and geographic coordinates to alert for regional earthquakes (separated by colons) +- `city_radius` + - Default: `1000.0` + - Radius of city area +- `alert_delay_min` + - Default: `5` + - Delay (minutes) before sending alert + - From [USGS FAQ](https://www.usgs.gov/faqs/why-do-some-earthquakes-disappear-maplist): "trade off between the speed of earthquake notifications and number of false alarms." + +## Additional Notes +The `Earthquake Feed Ingestion` task used to consume the CSV web service requires that CSV data be in [annotated CSV](https://docs.influxdata.com/influxdb/v2.0/reference/syntax/annotated-csv/) format. The annotated CSV headers are located in [earthquake_usgs_headers.csv](https://raw.githubusercontent.com/influxdata/community-templates/master/earthquake_usgs/earthquake_usgs_headers.csv). The task also prepends the required metadata to each data record, which can then be written to InfluxDB. + +Before ingestion, the following data cleansing and data shaping operatons are performed: +- Data Cleansing + - Drop fields + - Remove 0 kilometer distances from location string + - Generate and standardize new country field based on location string + - Specify tags +- Data Shaping (for Flux [Geo package](https://docs.influxdata.com/influxdb/v2.0/reference/flux/stdlib/experimental/geo/)) + - Add [S2 cell ID tokens](https://docs.influxdata.com/influxdb/v2.0/reference/flux/stdlib/experimental/geo/s2cellidtoken/) + - Rename geographic coordinate fields + +The web service feed is: +``` +https://earthquake.usgs.gov/fdsnws/event/1/query?format=csv&starttime=" + onedayago + "&includedeleted=true&orderby=time-asc +``` +Note that the USGS web service [query parameters](https://earthquake.usgs.gov/fdsnws/event/1/#parameters) include: +- `format=csv` + - CSV format +- `starttime=$onedayago` + - Existing earthquake events may be updated later with more accurate details +- `includedeleted=true` + - Include earthquake events that have been removed +- `orderby=time-asc` + - Order earthquake events by ascending time + +The fields are listed in [ComCat Documentation - Event Terms](https://earthquake.usgs.gov/data/comcat/data-eventterms.php) + +## Contact + +Author: Adam Silverman + +Email: asilverman@influxdata.com + +Github: @abalone23 + +Influx Slack: @Adam2 \ No newline at end of file