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Environment

Properties

Name Type Description Notes
links Dict[str, Link] The location and content type of related resources
id str The ID for the environment. Use this as the client-side ID for authorization in some client-side SDKs, and to associate LaunchDarkly environments with CDN integrations in edge SDKs.
key str A project-unique key for the new environment
name str A human-friendly name for the new environment
api_key str The SDK key for the environment. Use this for authorization in server-side SDKs.
mobile_key str The mobile key for the environment. Use this for authorization in mobile SDKs.
color str The color used to indicate this environment in the UI
default_ttl int The default time (in minutes) that the PHP SDK can cache feature flag rules locally
secure_mode bool Ensures that one end user of the client-side SDK cannot inspect the variations for another end user
access Access [optional]
default_track_events bool Enables tracking detailed information for new flags by default
require_comments bool Whether members who modify flags and segments through the LaunchDarkly user interface are required to add a comment
confirm_changes bool Whether members who modify flags and segments through the LaunchDarkly user interface are required to confirm those changes
tags List[str] A list of tags for this environment
approval_settings ApprovalSettings [optional]
resource_approval_settings Dict[str, ApprovalSettings] Details on the approval settings for this environment for each resource kind [optional]
critical bool Whether the environment is critical

Example

from launchdarkly_api.models.environment import Environment

# TODO update the JSON string below
json = "{}"
# create an instance of Environment from a JSON string
environment_instance = Environment.from_json(json)
# print the JSON string representation of the object
print(Environment.to_json())

# convert the object into a dict
environment_dict = environment_instance.to_dict()
# create an instance of Environment from a dict
environment_from_dict = Environment.from_dict(environment_dict)

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