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.
$ 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
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, FranceYou 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$ 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.
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"]Build the image using the provide docker file.
$ docker build -t waze-commute .
Then execute, use it like telegraf image
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: