Benthos plugins to transform geographic coordinates from a stream.

Benthos is the swiss army of stream processing: Benthos solves common data engineering tasks such as transformations, integrations, and multiplexing with declarative and unit testable configuration.

This repo contains multiple Benthos plugins as Go modules, that you can build on demand (see cmd/geo-benthos).

Note that the h3 plugin is using a CGO free version.

Use country with the following parameters: latitude, longitude.

An example position.json:

{"id":42, "lat": 48.86, "lng": 2.34}

A country.yaml pipeline.

input:
  file:
    paths: ["testdata/position.json"]
    codec: all-bytes

pipeline:
  threads: 1
  processors:
  - mapping: |
      #!blobl
      root = this
      root.country = country(this.lat, this.lng)

output:
  label: "out"
  stdout:
    codec: lines

Enrich the input with the timezone:

go build -o geo-benthos ./cmd/geo-benthos
./geo-benthos -c testdata/country.yaml
{"country":["France"],"id":42,"lat":48.86,"lng":2.34}

country module is using coord2country.

Use h3 with the following parameters: latitude, longitude, resolution.

An example position.json:

{"id":42, "lat": 48.86, "lng": 2.34}

A h3.yaml pipeline.

input:
  file:
    paths: ["testdata/position.json"]
    codec: all-bytes

pipeline:
  threads: 1
  processors:
  - mapping: |
      #!blobl
      root = this
      root.h3 = h3(this.lat, this.lng, 5)

output:
  label: "out"
  stdout:
    codec: lines

Enrich the input with the h3 cell:

go build -o geo-benthos ./cmd/geo-benthos
./geo-benthos -c testdata/h3.yaml
{"h3":"851fb467fffffff","id":42,"lat":48.86,"lng":2.34}

Use s2 with the following parameters: latitude, longitude, resolution.

An example position.json:

{"id":42, "lat": 48.86, "lng": 2.34}

A s2.yaml pipeline.

input:
  file:
    paths: ["testdata/position.json"]
    codec: all-bytes

pipeline:
  threads: 1
  processors:
  - mapping: |
      #!blobl
      root = this
      root.s2 = s2_object(this.lat, this.lng, 15)

output:
  label: "out"
  stdout:
    codec: lines

Enrich the input with the s2 cell:

go build -o geo-benthos ./cmd/geo-benthos
./geo-benthos -c testdata/s2.yaml
{"id":42,"lat":48.86,"lng":2.34,"s2":"2/033303031301002"}

Use tz with the following parameters: latitude, longitude.

An example position.json:

{"id":42, "lat": 48.86, "lng": 2.34}

A tz.yaml pipeline.

input:
  file:
    paths: ["testdata/position.json"]
    codec: all-bytes

pipeline:
  threads: 1
  processors:
  - mapping: |
      #!blobl
      root = this
      root.tz = tz(this.lat, this.lng)

output:
  label: "out"
  stdout:
    codec: lines

Enrich the input with the timezone:

go build -o geo-benthos ./cmd/geo-benthos
./geo-benthos -c testdata/tz.yaml
{"tz":"Europe/Paris","id":42,"lat":48.86,"lng":2.34}

tz module is using tzf.

This is an input plugin that will generate random coordinates in your range.

input:
  randpos:
    min_lat: 46.0
    max_lat: 48.0
    min_lng: 2.0
    max_lng: 2.3

output:
  label: "out"
  stdout:
    codec: lines

Run this command and point your browser to http://localhost:4195/

./geo-benthos blobl server --no-open --host 0.0.0.0 --input-file ./testdata/position.json -m testdata/s2_mapping.txt   

• s2 shape index to perform PIP
• spatialite lookup to perform PIP
• random points in a rect
• lat lng to h3
• lat lng to s2
• lat lng to tz
• lat lng to country