How to implement tree components

Abstract

The present invention discloses an implementation method of a tree component, and relates to the technical field of component implementation, including step 1: setting the root node and child nodes of the tree component, taking the root node as the starting point of the tree node component, and using the child nodes to display the hierarchical structure relationship of the tree component by indentation. The present invention displays the hierarchical structure relationship of the tree component by indentation, helps users understand complex hierarchical data, avoids page freeze or crash caused by one-time loading, and builds a tree structure by defining data source options and using a recursive algorithm to achieve efficient dynamic updates, reduce unnecessary re-rendering, improve the response speed and data consistency of the component, provide intelligent recommendation functions, help users quickly locate key nodes, reduce operation time, improve overall efficiency, achieve decoupling between components and efficient event management, so that the tree component can seamlessly collaborate with other components.

Description

Technical Field

[0001] The present invention relates to the technical field of component realization, and in particular to a method for realizing a tree-shaped component. Background Art

[0002] The concept of tree components originated from data structures in computer science. As a hierarchical data organization method, each node has a parent node and zero or more child nodes. It is widely used in file systems, organizational charts, and classification systems. With the development of Web and mobile applications, tree components have gradually evolved and become an important part of user interface design. As the application scenarios of tree components become more complex, their role in modern Web and mobile applications has become more critical.

[0003] The existing technology has the following deficiencies: the existing technology often faces performance bottlenecks when processing large-scale tree data. Traditional tree components usually need to load the data of all nodes at one time, especially when the data hierarchy is deep or the number of nodes is large, which will cause slow or stuck page rendering. Even if lazy loading technology is used, performance problems may still occur when the node is expanded. When the amount of data is large, the dynamic update of the tree structure will also cause unnecessary re-rendering, further affecting the system's response speed and user experience. When the node hierarchy is deep and user operations are frequent, the lack of complex event handling mechanisms and state management makes component maintenance difficult, and component state management is prone to inconsistencies. The customization options of the existing component library are not flexible enough to meet the complex needs of specific business scenarios. The limitations on fixed functions and styles make it difficult to handle complex interactions and event transmission between components.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a method for implementing a tree component to solve the problems in the above-mentioned background technology.

[0006] In order to achieve the above object, the present invention provides the following technical solution: a method for implementing a tree component, specifically comprising the following steps:

[0007] Step 1: Set the root node and child nodes of the tree component, use the root node as the starting point of the tree component, and use the child nodes to display the hierarchical structure relationship of the tree component by indentation;

[0008] Step 2: Define data source options, allow users to customize input data and provide a data dictionary, use a recursive algorithm to build a complete tree component structure, use the expanded command to track the expansion status of the node, and switch the status of the expanded command through the handleToggle function;

[0009] Step 3: Define node configuration options, allow users to configure custom buttons for each node, dynamically create button styles based on stored properties through CSS and JavaScript, use subtree components to implement exponential generation of nodes, and predict the best node recommendation through a recurrent neural network model;

[0010] Step 4: Implement the built-in event system so that the tree component can generate and send event messages, and set up a message center to allow other components to subscribe to and respond to event messages.

[0011] Preferably, the root node and child nodes of the tree component are set, and the root node is used as the starting point of the tree node component, which is highlighted in bold style. The root node includes a title and an icon, and the icon represents the type of node. The hierarchical structure relationship of the tree component is displayed by indenting the child nodes, and the child nodes of each layer are distinguished by different background colors. The status of the child nodes is displayed with text, and the visual feedback of the selected state and the hover state is provided by changing the border style of the tree component. The supported data formats are defined as JSON and XML, and an API interface is provided to allow dynamic loading and updating of the structure of the tree component. Buttons for editing, deleting, and adding child nodes are set at each node, and the button click events are customized, allowing users to beautify and adjust the tree component through custom CSS style sheets.

[0012] Preferably, define data source options, allow users to customize input data and provide a data dictionary, associate existing form data, create tree nodes based on the hierarchical relationship of the data, use a recursive algorithm to build the structure of a complete tree component, use the TreeNode component to render a single node and its child nodes, and manage the expansion and collapse states, use the expanded command to track the expansion state of the node, and switch the state of the expanded command through the handleToggle function.

[0013] Preferably, the specific steps of the recursive algorithm are: define the data structure representing the tree node through Python, select the current data as the current node, and recursively build a tree structure for its left subtree and right subtree, create a list using nodes, and use index to represent the position of the currently processed node in the list.

[0014] Preferably, node configuration options are defined to allow users to configure custom buttons for each node, dynamically create button styles based on stored properties through CSS and JavaScript, apply user-set color, border, and font properties to the button, set each button to define event processing functions, including adding new data, updating data, and sending reminders, and use JavaScript to bind user-defined events to corresponding buttons, use subtree components to implement exponential generation of nodes, and use a recurrent neural network model to predict the best node recommendation.

[0015] Preferably, the specific formula for implementing the index generation node of the subtree component is:

[0016]

[0017] Among them, TCi represents the subtree component realization index, TR represents the transmission time required to generate a node, CQ represents the amount of transmitted data, ND represents the number of nodes of the subtree component, and NL represents the number of levels of the subtree component. Indicates the impact factor of the subtree component implementation.

[0018] Preferably, the specific steps of the recurrent neural network model are: selecting an LSTM unit, calculating the activation value of the input layer through a Sigmoid activation function according to the number of nodes of the subtree component of the current timestamp and the number of levels of the subtree component of the previous timestamp, and the specific formula is:

[0019]

[0020] in, represents the activation value of the input layer, represents the Sigmoid activation function, represents the weight matrix, Indicates the number of levels of the subtree component at the previous timestamp. The number of nodes in the subtree component representing the current timestamp. Represents the bias term. The output layer selects the fully connected layer and calculates the activation value of the output layer through the Sigmoid activation function according to the number of nodes of the subtree component of the current timestamp and the number of levels of the subtree component of the previous timestamp. The specific formula is:

[0021]

[0022] in, represents the activation value of the forgetting layer, represents the Sigmoid activation function, represents the weight matrix, Indicates the number of levels of the subtree component at the previous timestamp. The number of nodes in the subtree component representing the current timestamp. Represents the bias term, which outputs the best recommendation for the current node through the fully connected layer prediction.

[0023] Preferably, an event enumeration is created and the corresponding event types of the nodes are defined, a method for defining event generation in the tree component is implemented, and the corresponding events are triggered to be sent to the message center, the message center class is implemented and a list of subscribers is maintained, and the received messages are processed by the subscriber's callback function, a method is provided to allow the tree component to subscribe to specific event types, and the callback function is registered in the message center, an event publishing mechanism is implemented, event messages are distributed to all relevant subscribers, the callback function is associated with the event type through the subscription method of the message center, and the subscription to the specific event is cancelled.

[0024] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0025] Through step one, using the hierarchical structure of root nodes and child nodes, users can clearly understand the data relationship. Use bold, background color, icon and border styles to enhance the visibility and interactive experience of nodes. Provide editing, deleting and adding functions, support real-time updates, make tree components more flexible, and allow users to adjust the appearance of components through custom CSS to enhance personalization and adaptability. Through step two, allow users to enter data and use data dictionaries and file upload tools to build tree structures through recursive algorithms to ensure that tree components can correctly display complex data hierarchies. Provide expanded commands and handleToggle functions to easily track and switch nodes. The expanded state of the tree component is shown in Figure 3. Through step 3, users are allowed to configure the button style and function of each node through CSS and JavaScript, realize the configuration and event binding of multiple function buttons, support complex interactive operations, and use subtree components and exponential node generation methods to adapt to different data scales and complexities, improve the scalability of tree components, and predict the best recommendation of nodes through recurrent neural networks, improve intelligence and prediction capabilities, and make tree components more efficient and accurate in processing data. Through step 4, subscribers and events are managed through the message center, which reduces the direct coupling between components, supports subscription and cancellation of specific events, and can accurately control the event processing flow.

[0026] By indenting to display the hierarchical structure relationship of the tree component, users can understand complex hierarchical data and avoid page freezes or crashes caused by one-time loading. By defining data source options and using recursive algorithms to build a tree structure, efficient dynamic updates can be achieved, unnecessary re-rendering can be reduced, and the response speed and data consistency of components can be improved. Intelligent recommendation functions can be provided to help users quickly locate key nodes, reduce operation time, improve overall efficiency, achieve decoupling between components and efficient event management, and enable tree components to collaborate seamlessly with other components. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0028] Figure 1 The present invention is a flowchart of a method for implementing a tree component. DETAILED DESCRIPTION

[0029] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0030] The present invention provides Figure 1 The implementation method of the tree component shown in the figure includes the following steps:

[0031] Step 1: Set the root node and child nodes of the tree component, use the root node as the starting point of the tree component, and use the child nodes to display the hierarchical structure relationship of the tree component by indentation;

[0032] Set the root node and child nodes of the tree component, use the root node as the starting point of the tree node component, highlight it with bold style, include a title and icon according to the root node, use the icon to represent the type of node, including folders and files, use child nodes to display the hierarchical structure relationship of the tree component through indentation, distinguish the child nodes of each layer by different background colors, use text to display the status of the child nodes, change the border style of the tree component to provide visual feedback of the selected state and hover state to help users identify the node of the tree component where the current operation is located, define the supported data formats as JSON and XML, provide an API interface to allow dynamic loading and updating of the structure of the tree component, set buttons for editing, deleting and adding child nodes at each node, and customize the click events of the buttons. For example, when the "Edit" button is clicked, a form pops up to allow users to modify the child node information, and users can use custom CSS style sheets to beautify the tree component, including setting the font, color, margin and icon style of the node.

[0033] Step 2: Define data source options, allow users to customize input data and provide a data dictionary, use a recursive algorithm to build a complete tree component structure, use the expanded command to track the expansion status of the node, and switch the status of the expanded command through the handleToggle function;

[0034] Define data source options, allow users to customize input data and provide data dictionaries, associate with existing form data, provide file upload and field mapping tools for custom input, display optional dictionary lists for data dictionaries, display forms and fields for form data, create tree nodes based on the hierarchical relationship of the data, where each node contains a node ID, name, and parent node ID, use a recursive algorithm to build the structure of a complete tree component, use the TreeNode component to render a single node and its child nodes, and manage the expansion and collapse states, use the expanded command to track the expansion state of the node, and switch the state of the expanded command through the handleToggle function.

[0035] The specific steps of the recursive algorithm are: define a data structure representing a tree node through Python, where each node contains a data, a reference to a left child node, and a reference to a right child node, select the current data as the current node, and recursively build a tree structure for its left subtree and right subtree, create a list using nodes, and use index to represent the position of the currently processed node in the list.

[0036] Step 3: Define node configuration options, allow users to configure custom buttons for each node, dynamically create button styles based on stored properties through CSS and JavaScript, use subtree components to implement exponential generation of nodes, and predict the best node recommendation through a recurrent neural network model;

[0037] Define node configuration options, allowing users to configure custom buttons for each node, dynamically create button styles based on stored properties through CSS and JavaScript, and apply user-set color, border, and font properties to the button. Set each button to define event processing functions, including adding new data, updating data, and sending reminders. Use JavaScript to bind user-defined events to the corresponding buttons. The button for adding new data defines an event processing function to open the form and allow users to enter new data and submit it. The button for updating data defines an event processing function to provide an interface and allow users to modify existing data. Use subtree components to generate nodes exponentially, and use a recurrent neural network model to predict the best node recommendation.

[0038] The specific formula for implementing the index generation node of the subtree component is:

[0039]

[0040] Among them, TCi represents the subtree component realization index, TR represents the transmission time required to generate a node, CQ represents the amount of transmitted data, ND represents the number of nodes of the subtree component, and NL represents the number of levels of the subtree component. Indicates the impact factor of the subtree component implementation.

[0041] The specific steps of the recurrent neural network model are: selecting an LSTM unit, and calculating the activation value of the input layer through the Sigmoid activation function according to the number of nodes of the subtree component of the current timestamp and the number of levels of the subtree component of the previous timestamp. The specific formula is:

[0042]

[0043] in, represents the activation value of the input layer, represents the Sigmoid activation function, represents the weight matrix, Indicates the number of levels of the subtree component at the previous timestamp. The number of nodes in the subtree component representing the current timestamp. Represents the bias term. The output layer selects the fully connected layer and calculates the activation value of the output layer through the Sigmoid activation function according to the number of nodes of the subtree component of the current timestamp and the number of levels of the subtree component of the previous timestamp. The specific formula is:

[0044]

[0045] in, represents the activation value of the forgetting layer, represents the Sigmoid activation function, represents the weight matrix, Indicates the number of levels of the subtree component at the previous timestamp. The number of nodes in the subtree component representing the current timestamp. Represents the bias term, which outputs the best recommendation for the current node through the fully connected layer prediction.

[0046] Step 4: Implement the built-in event system to enable the tree component to generate and send event messages, and set up a message center to allow other components to subscribe to and respond to event messages;

[0047] Create an event enumeration and define the corresponding event type of the node, implement the method of defining event generation in the tree component, and trigger the corresponding event to be sent to the message center, implement the message center class and maintain the subscriber list, process the received message through the subscriber's callback function, provide methods to allow the tree component to subscribe to specific event types, and register the callback function in the message center, implement the event publishing mechanism, distribute event messages to all relevant subscribers, associate the callback function with the event type through the subscription method of the message center, and cancel the subscription to the specific event.

[0048] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for implementing a tree component comprises the following steps, characterized in that: Step 1: Set the root node and child nodes of the tree component, use the root node as the starting point of the tree component, and use the child nodes to display the hierarchical structure relationship of the tree component by indentation; Step 2: Define data source options, allow users to customize input data and provide a data dictionary, use a recursive algorithm to build a complete tree component structure, use the expanded command to track the expansion status of the node, and switch the status of the expanded command through the handleToggle function; Step 3: Define node configuration options, allow users to configure custom buttons for each node, dynamically create button styles based on stored properties through CSS and JavaScript, use subtree components to implement exponential generation of nodes, and predict the best node recommendation through a recurrent neural network model; The specific formula for implementing the index generation node of the subtree component is: ； Among them, TCi represents the subtree component realization index, TR represents the transmission time required to generate a node, CQ represents the amount of transmitted data, ND represents the number of nodes of the subtree component, and NL represents the number of levels of the subtree component. Indicates the impact factor of subtree component implementation; The specific steps of the recurrent neural network model are: selecting an LSTM unit, and calculating the activation value of the input layer through the Sigmoid activation function according to the number of nodes of the subtree component of the current timestamp and the number of levels of the subtree component of the previous timestamp. The specific formula is: ； in, represents the activation value of the input layer, represents the Sigmoid activation function, represents the weight matrix, Indicates the number of levels of the subtree component at the previous timestamp. The number of nodes in the subtree component representing the current timestamp. Represents the bias term. The output layer selects the fully connected layer and calculates the activation value of the output layer through the Sigmoid activation function according to the number of nodes of the subtree component of the current timestamp and the number of levels of the subtree component of the previous timestamp. The specific formula is: ； in, represents the activation value of the forgetting layer, represents the Sigmoid activation function, represents the weight matrix, Indicates the number of levels of the subtree component at the previous timestamp. The number of nodes in the subtree component representing the current timestamp. Represents the bias term, which outputs the best recommendation for the current node through the fully connected layer prediction; Step 4: Implement the built-in event system so that the tree component can generate and send event messages, and set up a message center to allow other components to subscribe to and respond to event messages.

2. The method for implementing a tree component according to claim 1, characterized in that: In the step one, the root node and child nodes of the tree component are set, the root node is used as the starting point of the tree node component, and is highlighted in bold style. The root node includes a title and an icon, the icon represents the type of the node, the hierarchical structure relationship of the tree component is displayed by indenting the child nodes, the child nodes of each layer are distinguished by different background colors, the status of the child nodes is displayed by text, the visual feedback of the selected state and the hover state is changed by changing the border style of the tree component, the supported data formats are defined as JSON and XML, an API interface is provided to allow dynamic loading and updating of the structure of the tree component, buttons for editing, deleting and adding child nodes are set at each node, and the click events of the buttons are customized, allowing users to beautify and adjust the tree component through a custom CSS style sheet.

3. The method for implementing a tree component according to claim 1, characterized in that: In the step 2, data source options are defined to allow users to customize input data and provide a data dictionary, associate existing form data, provide file upload and field mapping tools for custom input, display an optional dictionary list for the data dictionary, display the form and fields for form data, create tree nodes based on the hierarchical relationship of the data, use a recursive algorithm to build a complete tree component structure, use the TreeNode component to render a single node and its child nodes, and manage expansion and collapse states, use the expanded command to track the expansion state of the node, and switch the state of the expanded command through the handleToggle function.

4. The method for implementing a tree component according to claim 3, characterized in that: The specific steps of the recursive algorithm are: define a data structure representing a tree node through Python, where each node contains a data, a reference to a left child node, and a reference to a right child node, select the current data as the current node, and recursively build a tree structure for its left subtree and right subtree, create a list using nodes, and use index to represent the position of the currently processed node in the list.

5. The method for implementing a tree component according to claim 1, characterized in that: In the step three, node configuration options are defined to allow the user to configure a custom button for each node, button styles are dynamically created based on stored properties through CSS and JavaScript, and the color, border, and font properties set by the user are applied to the button, and each button is set to define an event processing function, including adding new data, updating data, and sending reminders. JavaScript is used to bind user-defined events to corresponding buttons, wherein the button for adding new data defines an event processing function to open a form and allow the user to enter new data and submit it, and the button for updating data defines an event processing function to provide an interface and allow the user to modify existing data. Subtree components are used to implement exponential generation of nodes, and a recurrent neural network model is used to predict the best node recommendation.

6. The method for implementing a tree component according to claim 1, characterized in that: In the step 4, an event enumeration is created and the event types corresponding to the nodes are defined, the method for defining event generation in the tree component is implemented, and the corresponding events are triggered and sent to the message center, the message center class is implemented and the subscriber list is maintained, the received messages are processed by the subscriber's callback function, a method is provided to allow the tree component to subscribe to a specific event type, and the callback function is registered in the message center, the event publishing mechanism is implemented, the event message is distributed to all relevant subscribers, the callback function is associated with the event type through the subscription method of the message center, and the subscription to the specific event is cancelled.

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