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fieldtest-collector

THIS SERVER COMPONENT IS ONLY INTENDED FOR LAB ENVIRONMENTS.

This repository contains a server configuration, that can process HTTP POSTs with CSV sensor data and store it in an InfluxDB database:

ito-fieldtest (App) --> fieldtest-collector (Telegraf) --> InfluxDB

It is based on Telegraf using the following configuration:

  • inputs.http_listener_v2 with data_format = "csv" to parse HTTP POSTs with CSV payload data
  • outputs.influxdb_v2 for writing data to InfluxDB v2
  • outputs.file with files = ["stdout"] for writing parsed data to stdout for debugging

The repository contains a docker-compose.yml for locally running the configured telegraf server as well as an InfluxDB2 system. Alternatively, the docker image containing the server can be deployed to a cloud service and configured to use an external InfluxDB instance (like the InfluxDB Cloud).

Getting started

Create a .env file and assign environment variables:

cp .env.example .env

The first time running InfluxDB, access needs to be configured using influx setup:

docker-compose up
docker-compose exec influxdb bash -c 'influx setup -b $INFLUXDB_BUCKET -f -o $INFLUXDB_ORGANIZATION -p $INFLUXDB_PASSWORD -r $INFLUXDB_RETENTION -u $INFLUXDB_USERNAME && influx auth list'

This will issue an access token, which is displayed using the influx auth list command. Copy and assign it to INFLUXDB_TOKEN in .env and restart everything, so that Telegraf can use it:

docker-compose down
docker-compose up

Telegraf should now be able to send data to InfluxDB. The InfluxDB UI can be accessed at http://localhost:9999.

InfluxDB will persist its data in influxdb/data. It can be cleaned with rm -rf influxdb/data. After that, the setup process needs to be done again.

Ingesting data

This will send an HTTP POST to telegraf with some payload CSV data. The first CSV line is expected to contain the column names:

curl -XPOST --header 'Content-Type: text/csv' http://localhost:8080/telegraf -d 'col1,col2,timestamp,value
"hello","101",1591216016,"10.0"
"world","102",1591216076,"11.0"
"world","103",1591216176,"12.0"
"world","104",1591216276,"10.5"
"world","105",1591216376,"11.1"
"world","106",1591216476,"12.4"
"world","107",1591216576,"9.7"'

The data will be stored in InfluxDB. It can be queried using the InfluxDB UI:

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