General configuration file

[GENERAL]
# Path and name for the log file.
# Default: /ProgramData/Nexthink/nxdataenricher/log/nxdataenricher.log
log_file = /ProgramData/Nexthink/nxdataenricher/log/nxdataenricher.log
 
# Setup the log level desired. For production environments is strongly recommended to setup "info" value.
# Options available:
# - CRITICAL
# - ERROR
# - WARNING
# - INFO
# - DEBUG
# More information about log levels here https://docs.python.org/3.7/library/logging.html#levels
# Default: INFO
log_level = INFO
 
# Set logging format.
# Default: %(asctime)s %(process)s %(levelname)s %(filename)s:%(lineno)d [-] %(message)s
log_format = %(asctime)s %(process)s %(levelname)s %(filename)s:%(lineno)d [-] %(message)s
 
[NEXTHINKCLOUD]
# Please refer to https://doc.nexthink.com/Documentation/Nexthink/latest/InstallationAndConfiguration/InstallingtheDataEnricher
# in order to obtain more information about the Data Enricher installation process
# and/or this file in particular.
 
# Nexthink Cloud endpoint to send and retrieve data from Nexthink.
# Example: endpoint = https://agora.[region].nexthink.cloud
endpoint = https://<host>
 
# The client ID will be used alongside the client secret to retrieve a token.
oauth_client_id = <oauth_client_id>
# The client secret will be used alongside the client ID to retrieve a token.
oauth_client_secret = <oauth_client_secret>
 
# Proxy configuration.
proxy_enabled = False
# Example: proxy_server = http://proxy.nexthink.com:3128
proxy_server = <schema>://<host>:<port>
# Only Basic Authentication or no authentication are supported. Options available:
# - None
# - Basic
proxy_auth_type = None
proxy_user =
proxy_password =
 
# Allows service to check for self signed certificate in Nexthink Cloud.
# False means the self-signed certificate or a bad certificate will be not checked.
# True means the self-signed certificate or a bad certificate will be checked.
# Default: True
verify_cert = True
 
# Maximum number of entries to be updated in Nexthink in a single request.
update_batch_size = 10000