blob: e9848aea41a9e7966a4df89ca0ed63c93fa41b65 [file] [log] [blame]
# Copyright 2015 Google Inc. All Rights Reserved.
"""AppRTC Constants.
This module contains the constants used in AppRTC Python modules.
"""
import os
ROOM_MEMCACHE_EXPIRATION_SEC = 60 * 60 * 24
MEMCACHE_RETRY_LIMIT = 100
LOOPBACK_CLIENT_ID = 'LOOPBACK_CLIENT_ID'
# TODO: Remove once clients support ICE_SERVER.
TURN_BASE_URL = 'https://computeengineondemand.appspot.com'
TURN_URL_TEMPLATE = '%s/turn?username=%s&key=%s'
CEOD_KEY = '4080218913'
ICE_SERVER_BASE_URL = 'https://networktraversal.googleapis.com'
ICE_SERVER_URL_TEMPLATE = '%s/v1alpha/iceconfig?key=%s'
ICE_SERVER_API_KEY = os.environ.get('ICE_SERVER_API_KEY')
CALLSTATS_PARAMS = {
'appId': os.environ.get('CALLSTATS_APP_ID'),
'appSecret': os.environ.get('CALLSTATS_APP_SECRET')
}
# Dictionary keys in the collider instance info constant.
WSS_INSTANCE_HOST_KEY = 'host_port_pair'
WSS_INSTANCE_NAME_KEY = 'vm_name'
WSS_INSTANCE_ZONE_KEY = 'zone'
WSS_INSTANCES = [{
WSS_INSTANCE_HOST_KEY: 'apprtc-ws.webrtc.org:443',
WSS_INSTANCE_NAME_KEY: 'wsserver-std',
WSS_INSTANCE_ZONE_KEY: 'us-central1-a'
}, {
WSS_INSTANCE_HOST_KEY: 'apprtc-ws-2.webrtc.org:443',
WSS_INSTANCE_NAME_KEY: 'wsserver-std-2',
WSS_INSTANCE_ZONE_KEY: 'us-central1-f'
}]
WSS_HOST_PORT_PAIRS = [ins[WSS_INSTANCE_HOST_KEY] for ins in WSS_INSTANCES]
# memcache key for the active collider host.
WSS_HOST_ACTIVE_HOST_KEY = 'wss_host_active_host'
# Dictionary keys in the collider probing result.
WSS_HOST_IS_UP_KEY = 'is_up'
WSS_HOST_STATUS_CODE_KEY = 'status_code'
WSS_HOST_ERROR_MESSAGE_KEY = 'error_message'
RESPONSE_ERROR = 'ERROR'
RESPONSE_ROOM_FULL = 'FULL'
RESPONSE_UNKNOWN_ROOM = 'UNKNOWN_ROOM'
RESPONSE_UNKNOWN_CLIENT = 'UNKNOWN_CLIENT'
RESPONSE_DUPLICATE_CLIENT = 'DUPLICATE_CLIENT'
RESPONSE_SUCCESS = 'SUCCESS'
RESPONSE_INVALID_REQUEST = 'INVALID_REQUEST'
IS_DEV_SERVER = os.environ.get('APPLICATION_ID', '').startswith('dev')
BIGQUERY_URL = 'https://www.googleapis.com/auth/bigquery'
# Dataset used in production.
BIGQUERY_DATASET_PROD = 'prod'
# Dataset used when running locally.
BIGQUERY_DATASET_LOCAL = 'dev'
# BigQuery table within the dataset.
BIGQUERY_TABLE = 'analytics'