How the editor interface is dressed: branding, the buttons that lead back into the portal, and the behaviour of review, mentions and form submission.
| Name | Type | Description | Notes |
|---|---|---|---|
| about | bool | Whether the About entry of the editor menu is shown. | [optional] |
| customer | CustomerConfigDto | The branding of the organization running the portal. It is filled in on a server installation only and is empty in the cloud. | [optional] |
| anonymous | AnonymousConfigDto | How an anonymous participant is treated in this session. | [optional] |
| feedback | FeedbackConfigDto | The support link the editor offers behind its feedback button. | [optional] |
| forcesave | bool | Whether the editors write intermediate revisions while the document stays open. It is empty when the portal leaves the decision to the editors themselves. | [optional] |
| goback | GobackConfigDto | Where the editor returns the user to when they leave the document. It is empty when there is nowhere to go back to, as in an embedded opening. | [optional] |
| review | ReviewConfigDto | How tracked changes are displayed when the document opens; it depends on whether this session may write. | [optional] |
| logo | LogoConfigDto | The logo the editor shows, in the variants the current layout and file type need. | [optional] |
| mention_share | bool | Whether mentioning a user who cannot yet open the document offers to share it with them, instead of silently notifying nobody. | [optional] |
| submit_form | SubmitFormDto | The submit button of a form: whether it is shown and what it says. | [optional] |
| start_filling_form | StartFillingForm | The button that starts filling out the form. It is empty when this opening offers no such button. | [optional] |
| ai | AiConfigDto | The AI configuration settings. | [optional] |
from docspace_api_sdk.models.customization_config_dto import CustomizationConfigDto
# TODO update the JSON string below
json = "{}"
# create an instance of CustomizationConfigDto from a JSON string
customization_config_dto_instance = CustomizationConfigDto.from_json(json)
# print the JSON string representation of the object
print(CustomizationConfigDto.to_json())
# convert the object into a dict
customization_config_dto_dict = customization_config_dto_instance.to_dict()
# create an instance of CustomizationConfigDto from a dict
customization_config_dto_from_dict = CustomizationConfigDto.from_dict(customization_config_dto_dict)