Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for handling multiple overflows of content during pagination of a web document. A first tree representing a web document is obtained. A first page element including one or more elements of the first tree is generated, where the elements include a first Document Object Model (DOM) element. Coordinates of the first DOM element within the first page element are calculated. A first context associated with the first DOM element is pushed onto a context stack. An overflow of the first DOM element is detected in relation to the first page element based, at least in part, on the coordinates. Responsive to detecting the overflow, the context stack is added to an overflow list and the first page element is modified such that the first DOM element or portion thereof is removed from the first page element.

Abstract: A computing platform is configurable to cause identifying a first data object type of a computing platform, the first data object type identifying first data objects being included in a data model of an application, and identifying a second data object type of the computing platform, the second data object type identifying second data objects included in the data model, and the identifying of the second data object type defining a relationship between the second data object type and the first data object type. The computing platform is also configurable to cause generating a filter rule associated with the second data object type, the filter rule defining which of the plurality of second data objects may be associated with the plurality of first data objects, the filter rule being defined based, at least in part, on at least some of a plurality of attributes of the second data object type.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for implementing a scalable computing system. The scalable computing system includes an intermediate system that facilitates communications between a core server system and a third-party system. The core server system processes a client request for a third-party service in association with a web page having a corresponding web address. The intermediate system communicates with the core server system to obtain a session token, and transmits the session token and web address to the third-party system. The third-party system may then access the web page via the web address using the session token.

Abstract: A user interface to dynamically update the display of work steps and/or work plans for work orders are described. A database system receives a request from a user interface to output a work order, and then identifies a work plan for the work order. The database system causes a user interface to output display fields for the work order and the work plan. The database system receives a request from a user of the database system to add an additional work plan and/or an additional work step, and then causes the user interface to dynamically update the output of the display fields for the work order and the work plan by adding an additional output of the at least one display field for the additional work plan and/or the additional work step.

Abstract: Creating work order plans and steps based on mapped fields is described. A database system receives an input associated with a work order, and then identifies a work plan template object, a work plan instance object, a work step template object, and a work step instance object associated with the work order. The database system identifies work plan fields which are mapped from the work plan template object to the work plan instance object, and work step fields which are mapped from the work step template object to the work step instance object. The database system creates at least one work plan which includes the mapped work plan fields in the work plan instance object and work steps which include the mapped work step fields in the work step instance object. The database system outputs the work order which includes the at least one work plan.

Abstract: A database system receives an input for creating a work order and identifies work plan criteria based on the input. The database system uses the work plan criteria to select work plan templates, which includes work steps, from multiple work plan templates. The database system creates a work order, including work plans corresponding to the work plan templates and at least part of the input for creating the work order. The database system displays the work order and receives a selection of an activity object displayed on one of the user interface pages displaying the work steps, and then displays an activity picklist. The database system receives a selection of an activity in the activity picklist, and adds, deletes, or modifies a database record by executing a user action or an automated business process corresponding to the activity in the activity picklist.

Abstract: Generating work plans which include work steps when creating new work orders is described. A database system trains a machine learning model to use inputs for creating work orders to select work plan templates, which include sets of work steps, from a training set of work plan templates, in response to receiving the inputs for creating the work orders. The database system receives an input for creating a work order and identifies work plan criteria based on the input for creating the work order. The trained machine learning model uses the work plan criteria to select at least one work plan template, which includes work steps, from work plan templates. The database system creates a work order that includes work plan(s) corresponding to the selected work plan template(s) and includes at least part of the input for creating the work order. The database system outputs the created work order.

Abstract: A database system receives an input for creating a work order and identifies work plan criteria based on the input. The database system uses the work plan criteria to select work plan templates, which includes work steps, from multiple work plan templates. The database system creates a work order, including work plans corresponding to the work plan templates and at least part of the input for creating the work order. The database system displays the work order and receives a selection of an activity object displayed on one of the user interface pages displaying the work steps, and then displays an activity picklist. The database system receives a selection of an activity in the activity picklist, and adds, deletes, or modifies a database record by executing a user action or an automated business process corresponding to the activity in the activity picklist.

Abstract: Generating work plans which include work steps when creating new work orders is described. A database system trains a machine learning model to use inputs for creating work orders to select work plan templates, which include sets of work steps, from a training set of work plan templates, in response to receiving the inputs for creating the work orders. The database system receives an input for creating a work order and identifies work plan criteria based on the input for creating the work order. The trained machine learning model uses the work plan criteria to select at least one work plan template, which includes work steps, from work plan templates. The database system creates a work order that includes work plan(s) corresponding to the selected work plan template(s) and includes at least part of the input for creating the work order. The database system outputs the created work order.