# MQTT2Prometheus ![](https://github.com/hikhvar/mqtt2prometheus/workflows/tests/badge.svg) ![](https://github.com/hikhvar/mqtt2prometheus/workflows/release/badge.svg) This exporter translates from MQTT topics to prometheus metrics. The core design is that clients send arbitrary JSON messages on the topics. The translation between the MQTT representation and prometheus metrics is configured in the mqtt2prometheus exporter since we often can not change the IoT devices sending the messages. Clients can push metrics via MQTT to an MQTT Broker. This exporter subscribes to the broker and expose the received messages as prometheus metrics. Currently, the exporter supports only MQTT 3.1. ![Overview Diagram](docs/overview.drawio.svg) I wrote this exporter to expose metrics from small embedded sensors based on the NodeMCU to prometheus. The used arduino scetch can be found in the [dht22tomqtt](https://github.com/hikhvar/dht22tomqtt) repository. A local hacking environment with mqtt2prometheus, a MQTT broker and a prometheus server is in the [hack](https://github.com/hikhvar/mqtt2prometheus/tree/master/hack) directory. ## Assumptions about Messages and Topics This exporter makes some assumptions about the MQTT topics. This exporter assumes that each client publish the metrics into a dedicated topic. The regular expression in the configuration field `mqtt.device_id_regex` defines how to extract the device ID from the MQTT topic. This allows an arbitrary place of the device ID in the mqtt topic. For example the [tasmota](https://github.com/arendst/Tasmota) firmware pushes the telemetry data to the topics `tele//SENSOR`. Let us assume the default configuration from [configuration file](#config-file). A sensor publishes the following message ```json {"temperature":23.20,"humidity":51.60, "computed": {"heat_index":22.92} } ``` to the MQTT topic `devices/home/livingroom`. This message becomes the following prometheus metrics: ```text temperature{sensor="livingroom",topic="devices/home/livingroom"} 23.2 heat_index{sensor="livingroom",topic="devices/home/livingroom"} 22.92 humidity{sensor="livingroom",topic="devices/home/livingroom"} 51.6 ``` The label `sensor` is extracted with the default `device_id_regex` `(.*/)?(?P.*)` from the MQTT topic `devices/home/livingroom`. The `device_id_regex` is able to extract exactly one label from the topic path. It extracts only the `deviceid` regex capture group into the `sensor` prometheus label. To extract more labels from the topic path, have a look at [this FAQ answer](#extract-more-labels-from-the-topic-path). The topic path can contain multiple wildcards. MQTT has two wildcards: * `+`: Single level of hierarchy in the topic path * `#`: Many levels of hierarchy in the topic path This [page](https://mosquitto.org/man/mqtt-7.html) explains the wildcard in depth. For example the `topic_path: devices/+/sensors/#` will match: * `devices/home/sensors/foo/bar` * `devices/workshop/sensors/temperature` ### JSON Seperator The exporter interprets `mqtt_name` as [gojsonq](https://github.com/thedevsaddam/gojsonq) paths. Those paths will be used to find the value in the JSON message. For example `mqtt_name: computed.heat_index` addresses ```json { "computed": { "heat_index":22.92 } } ``` Some sensors might use a `.` in the JSON keys. Therefore, there the configuration option `json_parsing.seperator` in the exporter config. This allows us to use any other string to separate hierarchies in the gojsonq path. E.g let's assume the following MQTT JSON message: ```json { "computed": { "heat.index":22.92 } } ``` We can now set `json_parsing.seperator` to `/`. This allows us to specify `mqtt_name` as `computed/heat.index`. Keep in mind, `json_parsing.seperator` is a global setting. This affects all `mqtt_name` fields in your configuration. ### Tasmota An example configuration for the tasmota based Gosund SP111 device is given in [examples/gosund_sp111.yaml](examples/gosund_sp111.yaml). ## Build To build the exporter run: ```bash make build ``` Only the latest two Go major versions are tested and supported. ### Docker #### Use Public Image To start the public available image run: ```bash docker run -it -v "$(pwd)/config.yaml:/config.yaml" -p 9641:9641 ghcr.io/hikhvar/mqtt2prometheus:latest ``` Please have a look at the [latest relase](https://github.com/hikhvar/mqtt2prometheus/releases/latest) to get a stable image tag. The latest tag may break at any moment in time since latest is pushed into the registries on every git commit in the master branch. #### Build The Image locally To build a docker container with the mqtt2prometheus exporter included run: ```bash make container ``` To run the container with a given config file: ```bash docker run -it -v "$(pwd)/config.yaml:/config.yaml" -p 9641:9641 mqtt2prometheus:latest ``` ## Configuration The exporter can be configured via command line and config file. ### Commandline Available command line flags: ```text Usage of ./mqtt2prometheus: -config string config file (default "config.yaml") -listen-address string listen address for HTTP server used to expose metrics (default "0.0.0.0") -listen-port string HTTP port used to expose metrics (default "9641") -log-format string set the desired log output format. Valid values are 'console' and 'json' (default "console") -log-level value sets the default loglevel (default: "info") -version show the builds version, date and commit -web-config-file string [EXPERIMENTAL] Path to configuration file that can enable TLS or authentication for metric scraping. ``` The logging is implemented via [zap](https://github.com/uber-go/zap). The logs are printed to `stderr` and valid log levels are those supported by zap. ### Config file The config file can look like this: ```yaml mqtt: # The MQTT broker to connect to server: tcp://127.0.0.1:1883 # Optional: Username and Password for authenticating with the MQTT Server user: bob password: happylittleclouds # Optional: for TLS client certificates ca_cert: certs/AmazonRootCA1.pem client_cert: certs/xxxxx-certificate.pem.crt client_key: certs/xxxxx-private.pem.key # Optional: Used to specify ClientID. The default is - client_id: somedevice # The Topic path to subscribe to. Be aware that you have to specify the wildcard, if you want to follow topics for multiple sensors. topic_path: v1/devices/me/+ # Optional: Regular expression to extract the device ID from the topic path. The default regular expression, assumes # that the last "element" of the topic_path is the device id. # The regular expression must contain a named capture group with the name deviceid # For example the expression for tasamota based sensors is "tele/(?P.*)/.*" device_id_regex: "(.*/)?(?P.*)" # The MQTT QoS level qos: 0 cache: # Timeout. Each received metric will be presented for this time if no update is send via MQTT. # Set the timeout to -1 to disable the deletion of metrics from the cache. The exporter presents the ingest timestamp # to prometheus. timeout: 24h json_parsing: # Separator. Used to split path to elements when accessing json fields. # You can access json fields with dots in it. F.E. {"key.name": {"nested": "value"}} # Just set separator to -> and use key.name->nested as mqtt_name separator: . # This is a list of valid metrics. Only metrics listed here will be exported metrics: # The name of the metric in prometheus - prom_name: temperature # The name of the metric in a MQTT JSON message mqtt_name: temperature # The prometheus help text for this metric help: DHT22 temperature reading # The prometheus type for this metric. Valid values are: "gauge" and "counter" type: gauge # A map of string to string for constant labels. This labels will be attached to every prometheus metric const_labels: sensor_type: dht22 # The name of the metric in prometheus - prom_name: humidity # The name of the metric in a MQTT JSON message mqtt_name: humidity # The prometheus help text for this metric help: DHT22 humidity reading # The prometheus type for this metric. Valid values are: "gauge" and "counter" type: gauge # A map of string to string for constant labels. This labels will be attached to every prometheus metric const_labels: sensor_type: dht22 # The name of the metric in prometheus - prom_name: heat_index # The path of the metric in a MQTT JSON message mqtt_name: computed.heat_index # The prometheus help text for this metric help: DHT22 heatIndex calculation # The prometheus type for this metric. Valid values are: "gauge" and "counter" type: gauge # A map of string to string for constant labels. This labels will be attached to every prometheus metric const_labels: sensor_type: dht22 # The name of the metric in prometheus - prom_name: state # The name of the metric in a MQTT JSON message mqtt_name: state # Regular expression to only match sensors with the given name pattern sensor_name_filter: "^.*-light$" # The prometheus help text for this metric help: Light state # The prometheus type for this metric. Valid values are: "gauge" and "counter" type: gauge # A map of string to string for constant labels. This labels will be attached to every prometheus metric const_labels: sensor_type: ikea # When specified, enables mapping between string values to metric values. string_value_mapping: # A map of string to metric value. map: off: 0 low: 0 # Metric value to use if a match cannot be found in the map above. # If not specified, parsing error will occur. error_value: 1 ``` ### Environment Variables Having the MQTT login details in the config file runs the risk of publishing them to a version control system. To avoid this, you can supply these parameters via environment variables. MQTT2Prometheus will look for `MQTT2PROM_MQTT_USER` and `MQTT2PROM_MQTT_PASSWORD` in the local environment and load them on startup. #### Example use with Docker Create a file to store your login details, for example at `~/secrets/mqtt2prom`: ```SHELL #!/bin/bash export MQTT2PROM_MQTT_USER="myUser" export MQTT2PROM_MQTT_PASSWORD="superpassword" ``` Then load that file into the environment before starting the container: ```SHELL source ~/secrets/mqtt2prom && \ docker run -it \ -e MQTT2PROM_MQTT_USER \ -e MQTT2PROM_MQTT_PASSWORD \ -v "$(pwd)/examples/config.yaml:/config.yaml" \ -p 9641:9641 \ ghcr.io/hikhvar/mqtt2prometheus:latest ``` ## Frequently Asked Questions ### Listen to multiple Topic Pathes The exporter can only listen to one topic_path per instance. If you have to listen to two different topic_paths it is recommended to run two instances of the mqtt2prometheus exporter. You can run both on the same host or if you run in Kubernetes, even in the same pod. ### Extract more Labels from the Topic Path A regular use case is, that user want to extract more labels from the topic path. E.g. they have sensors not only in their `home` but also in their `workshop` and they encode the location in the topic path. E.g. a sensor pushes the message ```json {"temperature":3.0,"humidity":34.60, "computed": {"heat_index":15.92} } ``` to the topic `devices/workshop/storage`, this will produce the prometheus metrics with the default configuration. ```text temperature{sensor="storage",topic="devices/workshop/storage"} 3.0 heat_index{sensor="storage",topic="devices/workshop/storage"} 15.92 humidity{sensor="storage",topic="devices/workshop/storage"} 34.60 ``` The following prometheus [relabel_config](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config) will extract the location from the topic path as well and attaches the `location` label. ```yaml relabel_config: - source_labels: [ "topic" ] target_label: location regex: '/devices/(.*)/.*' action: replace replacement: "$1" ``` With this config added to your prometheus scrape config you will get the following metrics in prometheus storage: ```text temperature{sensor="storage", location="workshop", topic="devices/workshop/storage"} 3.0 heat_index{sensor="storage", location="workshop", topic="devices/workshop/storage"} 15.92 humidity{sensor="storage", location="workshop", topic="devices/workshop/storage"} 34.60 ```