Carto Waze Lambda Connector

Developed according to "Waze Traffic-data Specification Document (Version 2.7.2)".

Usage

1. Prepare config

Prepare config file with Carto and Waze credentials:

$ cp config.example.env config.env

2. Carto Data Model creation

Load to Carto this function: db/plpgsql/traffico_create_tables.sql.

Execute the function in Carto:

SELECT traffico_create_tables(
     'mycity', clean_tables:=FALSE
    );

This function creates 3 tables and 3 materialized views:

• {mycity}_waze_data_alerts
• {mycity}_waze_data_jams
• {mycity}_waze_data_irrgs
• {mycity}_waze_data_alerts_mv
• {mycity}_waze_data_jams_mv
• {mycity}_waze_data_irrgs_mv

3. AWS Lambda deploy

Create serverless YAML config file:

$ cp serverless.example.yml serverless.yml

Change service name with your city prefix in new YAML file:

service: carto-waze-lambda-mycity

AWS Lambda deploy function:

$ serverless deploy -v --stage prod

AWS Lambda invoke function:

$ serverless invoke -f georss -l --stage prod

AWS Lambda update function (without AWS CloudFormation because is slow):

$ serverless deploy function -f georss --stage prod -v

Development

Run function without AWS Lambda (only for development purpose):

$ python3 run_handler_dev.py