WMATA Rail Position

This project is an example python program that demonstrates how to query the WMATA api and ingest that data to Elasticsearch.

Configuration

Before running the app you must update the config/settings.toml and config/.secrets.toml configuration files.

config/settings.toml

The settings.toml configuration file should have the following configuration settings defined, as appropriate, for your environment.

# Elastics configuration
INDEX_NAME = "wmata-rail-position"

# APM configuration
APM_SERVICE_VERSION = "2.0"
APM_ENVIRONMENT = "Development"
APM_SERVICE_NAME = "wmata-rail-position"

# WMATA API configuration
WMATA_API_URL = "https://api.wmata.com/gtfs/rail-gtfsrt-vehiclepositions.pb"
SLEEP_DURATION = "90"

config/.secrets.toml

The .secrets.toml configuration file should have the following configuration settings defined, as appropriate, for your environment.

# Elastic Server Configuration
ES_USERNAME = "YOUR ELASTICSEARCH USERNAME"
ES_PASSWORD = "YOUR ELASTICSEARCH PASSWORD"
ES_URL = "YOUR ELASTICSEARCH SERVER URL - https://localhost:9200"
KB_URL = "YOUR KIBANA SERVER URL - https://localhost:5601"

# APM Configuration
APM_SECRET_TOKEN = "YOUR ELASTIC APM SECRET TOKEN"
APM_SERVER_URL = "YOUR ELASTIC APM SERVER URL - https://localhost:8201"

# WMATA Configuration
WMATA_API_KEY = "acd9c07bf6f54998ae7024547d88c4b1"