wilfriedroset/waze-commute

Compute commute distance and duration using waze api

Waze Commute

This is a quick script to poll Waze API to compute commute (both ways) from one or more addresses to a point of interest. The purpose of this script is to be used as an exec plugin for telegraf. This would allow a user to have metrics to graph traffic evolution.

The idea came from a personal project to have usable data to see if it is wise or not to live farther away from the city center to save money.

Install dependencies

$ git clone https://github.com/wilfriedroset/waze-commute; cd waze-commute
$ pip install -r requirements.txt

$ python waze-commute.py -h
usage: waze-commute.py [-h] --addresses-file ADDRESSES_FILE
                       [--region {EU,US,IL,AU}] --destination DESTINATION
                       [--destination-alias DESTINATION_ALIAS]
                       [--departure-alias DEPARTURE_ALIAS] [--no-real-time]

optional arguments:
  -h, --help            show this help message and exit
  --addresses-file ADDRESSES_FILE
                        path to addresses file
  --region {EU,US,IL,AU}
                        Region is used for address searching
  --destination DESTINATION
                        destination address for which to compute from/to
                        routing
  --destination-alias DESTINATION_ALIAS
                        alias of destination address
  --departure-alias DEPARTURE_ALIAS
                        alias of departure addresses
  --no-real-time        get the time estimate not including current conditions

Credit goes to kovacsbalu for WazeRouteCalculator

Configuration

Point of interest address can be define on the command line as there is only address supported as point of interest. Departure addresses are defined in a YAML (or JSON) configuration file.

---
addresses:
  - address: Pessac, Gironde, France
  - address: Merignac, Gironde, France
  - address: Saint-Emillion, Gironde, France

You can add as many key as you want, they will be used as tags. You can add for example geographic coordinate (latitude/longitude), average m2 price, neighbour name...

---
addresses:
  - address: Pessac, Gironde, France
    river_side: gauche
  - address: Merignac, Gironde, France
    river_side: gauche
  - address: Saint-Emillion, Gironde, France
    river_side: droite

Example

$ python waze-commute.py --addresses-file addresses.example.yaml --destination "Bordeaux, Gironde, France"
[
    {
        "duration": 1500,
        "distance": 19362,
        "from": "Pessac, Gironde, France",
        "to": "Bordeaux, Gironde, France",
        "source": "waze",
        "way": "home->office",
        "with_traffic": true,
        "river_side": "gauche"
    },
    {
        "duration": 2521,
        "distance": 44344,
        "from": "Saint-Emillion, Gironde, France",
        "to": "Bordeaux, Gironde, France",
        "source": "waze",
        "way": "home->office",
        "with_traffic": true,
        "river_side": "droite"
    },
    {
        "duration": 1440,
        "distance": 19214,
        "from": "Bordeaux, Gironde, France",
        "to": "Pessac, Gironde, France",
        "source": "waze",
        "way": "office->home",
        "with_traffic": true,
        "river_side": "gauche"
    },
    {
        "duration": 1261,
        "distance": 8881,
        "from": "Merignac, Gironde, France",
        "to": "Bordeaux, Gironde, France",
        "source": "waze",
        "way": "home->office",
        "with_traffic": true,
        "river_side": "gauche"
    },
    {
        "duration": 1321,
        "distance": 8897,
        "from": "Bordeaux, Gironde, France",
        "to": "Merignac, Gironde, France",
        "source": "waze",
        "way": "office->home",
        "with_traffic": true,
        "river_side": "gauche"
    },
    {
        "duration": 2520,
        "distance": 43901,
        "from": "Bordeaux, Gironde, France",
        "to": "Saint-Emillion, Gironde, France",
        "source": "waze",
        "way": "office->home",
        "with_traffic": true,
        "river_side": "droite"
    }
]

Duration is in seconds and distance is in meters.

Running with Telegraf

You can use telegraf plugin exec to run the script periodically and write the points in the back-end of you choice. I would suggest influxdb as back-end.

Here is an example of telegraf configuration

[[inputs.exec]]
  commands = ["python /absolute/path/to/waze-commute.py --addresses-file /absolute/path/to/addresses.example.yaml --destination 'Bordeaux, Gironde, France'"]
  name_override = "commute"
  timeout = "4m"
  interval = "5m"
  data_format = "json"
  tag_keys = ["way", "from", "to", "river_side", "source", "with_traffic"]
  tagdrop = ["host"]

Running with docker

Build the image using the provide docker file.

$ docker build -t waze-commute .

Then execute, use it like telegraf image

Bonus: Spawn your influxdb & grafana with docker

version: '3'
services:

  influxdb:
    image: "influxdb:latest"
    volumes:
      - ./data/influxdb:/var/lib/influxdb
    ports:
      - "8086:8086"
    networks:
      - tsdb

  grafana:
    image: "grafana/grafana:latest"
    ports:
      - "3000:3000"
    volumes:
      - ./data/grafana:/var/lib/grafana
    networks:
      - tsdb
    user: "1000"

  telegraf:
    build:
      context: ./waze-commute
      dockerfile: Dockerfile-telegraf
    command: ["telegraf", "--config-directory", "/etc/telegraf/telegraf.d/"]
    volumes:
      - ./data/telegraf:/etc/telegraf:ro
    networks:
      - tsdb

networks:
  tsdb: