Assembling type prototype interface construction method

Abstract

The invention relates to the technical field of user interface design and prototype construction, and discloses a splicing type prototype interface construction method. The method comprises the following steps: acquiring a style template, a variable table and a master reference graph, and carrying out baseline modeling and structured storage, atomic registration and attribute solidification processing; based on this, carrying out molecular assembly and generating a constraint graph and a molecular reference list; organizing and arranging, and generating a dependency graph and a white list; based on an organization arrangement result, establishing an initial mapping table through sequential alignment, constructing a trigger candidate set, checking geometric constraints to generate a local geometric relationship table, performing propagation exploration to generate a propagation hierarchy table and a coverage link table, and further generating a difference patch group and a consistency snapshot of an organization layer and a molecular layer; and finally, parameter updating and structure mapping closed-loop processing are carried out. According to the method, hierarchical and automatic splicing and consistency management of the interface components from atoms to organizations are realized, and the prototype construction efficiency, the maintainability and the change control accuracy are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of user interface design and prototyping technology, and in particular to a modular prototyping interface construction method. Background Technology

[0002] In the 1980s, toolbars emerged to simplify operations. Frequently used commands were converted into icons and fixed around the edges of the interface. Users could customize toolbars, but the proliferation of icons led to a cluttered interface, sometimes even engulfing the entire work area.

[0003] To address these issues, Microsoft Office 2007 introduced the Ribbon interface, which integrated menus and toolbars, dynamically organizing commands through tabs and function groups, and adjusting display priority based on usage frequency. This design was quickly adopted by industrial software such as AutoCAD and SolidWorks.

[0004] As software applications become increasingly feature-rich, user interfaces (UIs) are also becoming more complex. Because UI development is costly, UI designers often develop a realistic prototype at a lower cost before actual development to validate the UI's functionality and interaction efficiency.

[0005] When UI designers create high-fidelity interface prototypes, they typically develop prototypes for each software interface sequentially, using manual agreements and organized reviews to unify the style of all interfaces. Later, when adjustments to interface style details are needed, significant effort is required to uniformly modify similar style attributes across all interfaces. Inevitably, omissions will remain after modification, necessitating dedicated personnel for checking and testing.

[0006] The above-mentioned traditional methods have the following drawbacks: 1. Low component reuse rate: Designers need to repeatedly draw basic elements (such as buttons and input boxes), and the component styles and interaction logic cannot be managed in a unified manner, resulting in fragmentation of the design system; 2. Low collaboration efficiency: When multiple people collaborate, component naming is chaotic, version iterations require manual synchronization and updates, and interface modules are easily misaligned or styles are inconsistent; Furthermore, existing prototype projects generally adopt a layered assembly approach to organize interface elements. However, in project implementation, style templates, variable tables, and master reference diagrams lack unified modeling and stable referencing. Item naming, hierarchical inheritance, and path positioning are inconsistent, and range annotations are missing or coarse-grained, resulting in a lack of unique numbers and traceable indexes for subsequent atomic-level parameter solidification. Although molecular layer assembly includes layout adsorption and spacing verification, alignment constraints, spacing constraints, and coverage relationships are mostly calculated locally, lacking a complete set of registrations with the molecular reference list. Dual-list trimming and constraint diagrams do not form a sustainable reading structure for subsequent organizational layers. In the organizational layer combination and content mapping stages, organizational mapping and linkage rules mostly rely on experience-based configuration. Coverage strategies and whitelist boundary expressions are inconsistent, and dependency graphs lack clear records of triggering order and cross-container paths, resulting in unclear chain-like change propagation paths.

[0007] In change management and collaboration scenarios, existing processes lack mechanisms for calculating the systematic impact domain across atoms, molecules, and organizations. The propagation boundaries of trigger chains and coverage chains do not form consistent pruning rules with scope labeling, whitelists, and coverage priority. There is a lack of an aggregation framework for referencing organizational mappings, dependencies, molecular-level constraint graphs, molecular reference lists, and parameter snapshot sets from the same source, making it difficult to generate propagation hierarchy tables and coverage chain tables. The hierarchical determination of strongly and weakly affected objects lacks verifiable intermediate data. During the change implementation phase, most processes lack complete outputs of differential patches and consistency snapshots. The write-back order and scope rely on manual judgment. Collaboration conflicts and parallel writes lack read / write conflict prompts and rollback references. Archive registration and playback records are incomplete, making it difficult to support subsequent closed-loop parameter updates and structure mapping. Summary of the Invention

[0008] To address the aforementioned technical problems, this invention provides a modular prototyping interface construction method, comprising: Obtain style templates, variable tables, and master reference diagrams; perform baseline modeling, range labeling, consistency verification, and structured storage processing; and generate baseline modeling and range labeling output data. Obtain baseline modeling and range labeling output data, perform atomic registration, attribute solidification, parameter snapshot generation and index writing processing, and generate atomic registration and attribute solidification output data; Based on the output data of atom registration and attribute solidification, molecular assembly, double list trimming, constraint graph and molecular reference list generation are performed to generate molecular assembly and double list trimming output data; From the molecular assembly and dual-list trimming output data, we perform organizational orchestration, coverage strategy, dependency graph and whitelist generation processing to generate organizational orchestration and coverage strategy output data; Based on the output data of the organization and coverage strategy, the organization mapping finalization and molecular citation list are sequentially aligned according to the reading order identifier to establish an initial mapping table between organization nodes and molecular nodes. The triggering conditions and propagation boundaries in the linkage rule finalization are used as constraints to construct a set of triggering candidates. Then, the alignment constraints and spacing constraints between molecular nodes are checked within the local constraint terms to generate a local geometric relationship table. Starting from the triggering conditions of the linkage rule finalization, the propagation exploration is carried out along the edges of the dependency graph finalization to form a propagation hierarchy table and a coverage link table. Then, for objects with strong influence, the source entries and affected entries are traced according to the change trajectory mapping chain to form an entry-level differential unit and generate batch differential patch groups. Using the parameter snapshot set as the state source, the state of all atomic parameter entries in the affected entry set is collected according to the reading order identifier to generate organizational layer consistency snapshots and molecular layer consistency snapshots. The influence domain calculation and differential snapshot output data are generated. Based on the influence domain calculation and differential snapshot output data, parameter update and structure mapping closed-loop processing is performed to generate parameter update and structure mapping closed-loop output data.

[0009] Furthermore, the style templates, variable tables, and master slide references include: A style template specifically includes the style name, style hierarchy, inheritable properties, and hierarchy order; The variable table specifically includes variable names, variable value ranges, default values, and controlled area identifiers; The master reference diagram specifically includes the coordinates of the page area division, the position of the reference anchor point, the hierarchical label of the reference anchor point, and the boundary marker for cross-level transfer.

[0010] Furthermore, the process of generating baseline modeling and extent labeling output data includes: Obtain the style template, variable table and master reference diagram, perform file reading, item parsing and hierarchical expansion to form an initial item set, and establish candidate assignment relationships and range labeling placeholder information according to baseline modeling rules and range labeling rules to prepare for baseline modeling and range labeling, and obtain the input data for baseline modeling and range labeling. The binding relationships and unique numbers are extracted from the baseline modeling and range labeling input data. The binding relationship units are formed by traversing the style template entries and variable table entries one by one and locating the corresponding positions according to the initial mapping relationship. A unique number consisting of source identifier, hierarchy identifier and sequence identifier is generated. The baseline modeling and range labeling process is performed to obtain the intermediate data of baseline modeling and range labeling. The intermediate data for baseline modeling and range labeling are subjected to consistency verification and structured storage. Consistency verification is performed sequentially according to the unified structure of the entry layer, mapping layer, binding layer, numbering layer and range layer. A retrieval index is built with the entry as the main table and the mapping, binding, numbering and range as the supplementary tables to generate the output data for baseline modeling and range labeling.

[0011] Furthermore, the process of generating atomic registration and attribute solidification output data includes: Obtain baseline modeling and range labeling output data, determine the traversal order according to the reading order list, read the item list one by one and locate the corresponding mapping relationship and binding relationship according to the item index list to form an atomic candidate set, generate a path parsing queue and attribute solidification rule set, perform atomic registration and attribute solidification initialization, and obtain atomic registration and attribute solidification input data; The template reference path and variable reference path are parsed from the input data of atomic registration and attribute solidification. The template reference path and variable reference path are generated one by one according to the reading order list, using the path parsing queue as the main processing line. The template entries of multi-level inheritance are expanded from top to bottom according to the hierarchy shown in the entry index list, and atomic registration and attribute solidification are performed to obtain intermediate data of atomic registration and attribute solidification. Parameter snapshots are generated and indexed for intermediate data of atomic registration and attribute solidification. Parameter snapshot entries are established by aggregating template attribute merging results and variable attribute values ​​according to the primary key number. Snapshot reading index table and snapshot binding index table are generated, and atomic registration and attribute solidification output data are generated.

[0012] Furthermore, the process of generating molecular assembly and dual-list trimming output data includes: Obtain the output data of atom registration and attribute solidification, determine the reading order according to the snapshot reading index table, read the parameter snapshot set one by one and restore the assembly order of atoms in the same page area according to the snapshot binding index table, and aggregate the atom parameter snapshots into a molecular candidate set by using the range field as the grouping key, perform molecular assembly and double list trimming preparation, and obtain the molecular assembly and double list trimming input data. Layout adsorption and spacing verification are performed from the molecular assembly and dual list trimming input data. Assembly units in the molecular candidate set are retrieved one by one in the reading order. Alignment references that match the template reference path are searched on the assembly reference surface and attached. The spacing of the attached assembly units is verified according to the spacing scale to generate adjustment instructions. Molecular assembly and dual list trimming are performed to obtain intermediate data of molecular assembly and dual list trimming. Constraint graphs and molecular reference lists are generated from the intermediate data of molecular assembly and dual list trimming. The constraint graph is constructed with pose records as the node source and cover chain update records and spacing verification records as the relationship source. The molecular reference list is generated with the reference candidate assembly as the data source, and the output data of molecular assembly and dual list trimming are generated.

[0013] Furthermore, the process of generating organizational orchestration and coverage strategy output data includes: Obtain molecular assembly and dual list trimming output data, merge molecular entries within the controlled area of ​​the page and module to form an organizational hierarchy draft, and combine the template reference identifier and variable reference identifier pointed to in the molecular reference list to establish a shared registration for entries with shared status to form a linkage rule register draft, prepare organizational arrangement and coverage strategy, and obtain organizational arrangement and coverage strategy input data; Organizational mapping and linkage rules are established from the input data of organizational arrangement and coverage strategy. The organizational layer mapping table is formed by checking the molecular entries corresponding to each organizational container identifier one by one with the draft organizational level as the main line. The linkage rule register is used as the basis to finalize the set of participating fields item by item to form the linkage rule finalization. Organizational arrangement and coverage strategy processing is performed to obtain intermediate data of organizational arrangement and coverage strategy. Dependency graphs and whitelists are generated for intermediate data of organization orchestration and coverage strategies. The coverage scope and coverage priority order in the organization layer mapping table are read and written into the coverage strategy table. Template references and variable references that can be shared and read but are not allowed to be written overridden are registered item by item and written into the whitelist table. Output data of organization orchestration and coverage strategies is generated.

[0014] Furthermore, the process of generating closed-loop output data for parameter updates and structure mapping includes: Obtain the impact domain calculation and differential snapshot output data. Based on the path addressing information, template reference path and variable reference path, parse and locate each line of the differential patch master table to generate a write-back positioning table. Then, use range field mapping and record clipping to perform regional clipping on each positioning unit in the write-back positioning table to generate a range clipping list. Perform parameter update and structure mapping closed loop preparation to obtain parameter update and structure mapping closed loop input data. The topic difference and snapshot records are compared from the input data of parameter update and structure mapping closed loop. The positioning units are retrieved in batches according to the write-back sequence queue as the main processing line. The corresponding records of the tissue layer consistency snapshot and molecular layer consistency snapshot are read according to the snapshot comparison index table for parameter update. The updated atomic parameter entries are mapped to their respective molecular entries and tissue nodes using the dependency graph finalization as the propagation skeleton and the tissue mapping finalization as the container constraint. The parameter update and structure mapping closed loop processing is performed to obtain the intermediate data of parameter update and structure mapping closed loop. The intermediate data of parameter update and structure mapping closed loop are marked with stability tags and archived. At the atomic level, the updated style attribute set and variable attribute set are marked as the current stable version according to the primary key number. At the molecular level, the pose and stacking information are updated and written with stability tags. At the organization level, the hierarchical sequence number, coverage link and trigger chain of the organization node are synchronously stabilized and registered. The three layers of data marked with stability tags in this round are archived and merged with the consistency snapshot of the organization level and the consistency snapshot of the molecular level to generate a playback record, and generate the output data of parameter update and structure mapping closed loop.

[0015] Furthermore, an initial mapping table between tissue nodes and molecular nodes is established by sequentially aligning the final tissue mapping with the molecular citation list, specifically including: The organization mapping finalization and molecular citation list are sequentially aligned to establish an initial mapping table between organization nodes and molecular nodes. The initial mapping table is grouped by range field mapping. The trigger candidate set is constructed using the trigger conditions and propagation boundaries in the linkage rule finalization as constraints. The alignment constraints and spacing constraints between molecular nodes are checked within the local constraint terms to generate a local geometric relationship table. Starting from the trigger conditions in the linkage rule finalization, propagation exploration is carried out along the edges of the dependency graph finalization to form a propagation hierarchy table and a coverage link table.

[0016] Furthermore, for objects with strong impact, the source entries and affected entries are traced according to the change trajectory mapping chain to form entry-level differential units, and batch-based differential patch groups are generated, specifically including: For objects with strong impact, trace the source entries and affected entries according to the change trajectory mapping chain, compare the differences between the baseline and the current state to form entry-level differential units; group the entry-level differential units according to organizational nodes and molecular nodes to generate batch differential patch groups, and attach cross-node path records to the differential patch groups.

[0017] Furthermore, using the parameter snapshot set as the state source, and identifying the reading order, the state of all atomic parameter entries within the affected entry set is collected to generate tissue-level consistency snapshots and molecular-level consistency snapshots, specifically including: Using the parameter snapshot set as the state source, the state of all atomic parameter entries in the affected entry set is collected according to the reading order. The collected content includes style attribute set, variable attribute set, path field, relationship field and range field. The collected state is summarized by organizational node and molecular node as dimensions to generate organizational layer consistency snapshot and molecular layer consistency snapshot.

[0018] The key innovations of this invention include: (1) Unify modeling and reference binding and generate range labels to ensure consistent reference of templates, variables and master versions in the same numbering and range system, and support the stability of subsequent path parsing and write-back positioning.

[0019] (2) The molecular-level constraint diagram and the molecular reference list work together to realize the structured constraint expression of assembly pose, alignment and spacing, and provide accurate source and order basis for content mapping and visibility rules of the organization layer.

[0020] (3) Organizational layer linkage rules and dependency relationship diagram trigger chain arrangement, giving clear records of trigger conditions, propagation boundaries and cross-container paths, and limiting read-only entries and overriding order through whitelists and overriding strategies, so that propagation and overriding have pruning paths and controlled scopes at the organizational layer.

[0021] (4) The influence domain, differential patch and consistency snapshot are produced as a set and support batch scheduling and write-back. The propagation pruning and strong and weak influence layering are completed on the trigger chain and the coverage chain to form differential data with clear granularity and a comparable snapshot baseline, providing a direct basis for the order, range and path of parameter update and structure mapping closed loop.

[0022] The following are its main beneficial effects: (1) This invention constructs a closed loop around cross-level change management and consistency maintenance of prototype interface engineering: a traceable data starting point with unified entries, mappings, bindings, numbering and range is formed through baseline modeling and range labeling.

[0023] (2) Parameter snapshots and indexes are generated through atomic registration and attribute solidification to establish a stable entry point for subsequent reading and positioning.

[0024] (3) Constraint diagrams and molecular reference lists are generated through molecular assembly and double list trimming, and the structured expression of alignment, spacing and coverage relationships is achieved.

[0025] (4) Generate organizational mapping, linkage rules, dependency graph and whitelist through organizational arrangement and coverage strategy to limit triggering path and coverage boundary; in the impact domain calculation and differential snapshot stage, based on the finalized organizational mapping, finalized dependency graph, coverage strategy table and whitelist table, combined with constraint graph, molecular reference list and parameter snapshot set, perform propagation pruning on changes across atoms, molecules and organizations along the triggering chain and coverage chain, aggregate organizational nodes and molecular nodes to calculate impact domain, generate propagation hierarchy table, coverage link table, strong impact object and weak impact object hierarchical list, and produce differential patch and consistency snapshot.

[0026] (5) In the parameter update and structure mapping closed loop, write back according to the index based on the differential patch and consistency snapshot and register the playback record, thereby realizing the structure mapping closed loop with boundary-controlled propagation pruning, sequential batch write-back and full-link traceability. Attached Figure Description

[0027] Figure 1A flowchart illustrating a UI component design method based on hierarchical nesting and cascading updates, provided for embodiments of this application; Figure 2 A three-level component library structure and a visual assembly framework diagram are provided for embodiments of this application; Figure 3 This application provides a set of parameter synchronization effect diagrams for a specific application example of a Ribbon-style toolbar development. Figure 4 This is a flowchart illustrating a modular prototyping interface construction method provided in an embodiment of this application. Detailed Implementation

[0028] In one embodiment, this application proposes a flowchart of an interface component design method based on hierarchical nesting and cascading updates, as shown below. Figure 1 As shown. The core of this method lies in constructing three progressively layered and rigorously structured component hierarchies: First, based on style templates and master reference diagrams, basic components (such as buttons and icons) are encapsulated through master functionality and reference relationships are established (not independent copies). Then, visual attributes of components are abstracted into independent objects through style templates and reference relationships are established, constructing atomic-level components that define the visual style and structure of basic interface elements. Next, through a cascading update mechanism (automatically triggering global scanning and updates when atomic component attributes are modified), atomic-level components are assembled and combined into molecular-level components that express small interface controls. Finally, this cascading update mechanism is used again to further arrange and combine molecular-level components into organizational-level components that express complete functional modules. This strict hierarchical nesting relationship from atom to molecule to organization (see...) Figure 1 This invention draws inspiration from the natural world where atoms form molecules and molecules form complex structures, resulting in a systematic methodology for interface construction. This methodology fundamentally improves the reusability of prototype components and ensures stylistic consistency across the entire prototype interface. Crucially, this invention, through a flowchart (…), Figure 1 The parameter synchronization and reverse update loop shown on the right branch enables automatic cascading updates between interface components at different levels: when the parameters of a bottom-level atomic component change, this change automatically triggers a global update scan through the reference relationship between the master page and style template, and propagates upwards to all molecular and organizational components that reference that atom, ensuring that all related components are updated synchronously. This greatly solves the problem of low collaboration efficiency caused by manual modifications. Applying this method can significantly reduce prototype development costs compared to traditional methods. Figure 2This application provides a three-level component library structure and a visual assembly framework diagram, which serves as the physical foundation for hierarchical assembly and cascading updates from atoms to organizations. Specifically: First, an atomic-level component library is established based on a master reference diagram and style templates. The master function encapsulates basic elements such as buttons and icons and their parameter characteristics, and ensures the linkage between instances and the master library through reference relationships (non-copying). The style template function abstracts the visual attributes of elements into independent objects and achieves global effects with a single modification through reference relationships, thus laying the foundation for consistent interface style. Next, through the molecular assembly process described in the claims, the layout function is used to assemble and combine atomic-level components into molecular-level components, and relative positional constraint rules between atoms (such as grid alignment and spacing thresholds) are defined within the components. At the same time, the inheritance of atomic functions and styles by molecules is ensured through referencing the master. Subsequently, through the organization and arrangement process, the molecular-level components are further assembled into complete interface modules (such as the Ribbon toolbar), constituting organization-level components. Ultimately, a parameter synchronization mechanism is established through closed-loop processing of influence domain calculation, differential snapshots, parameter updates, and structure mapping: when the style or master content of an atomic-level component is modified, the system automatically triggers cascading updates based on reference relationships. Influence domain calculation locates all related instances, and differential snapshots are generated for precise synchronization, ensuring that all molecular and tissue components referencing that atomic component change synchronously in real time. This three-level nested construction and linkage mechanism collectively achieves standardized assembly and efficient collaboration of the design system, significantly improving component reusability and interface consistency, and effectively reducing development costs. Figure 3 The following are examples of parameter synchronization effects in a specific application embodiment of the Ribbon-style toolbar provided in this application: Figure 3The illustration shows a specific application example of this invention in the development of a Ribbon-style toolbar. This example fully follows a three-level construction path from atoms and molecules to organization. First, the development of the atomic-level component library is performed: toolbar button atoms, tool group background atoms, and tab label atoms are built as master templates and registered to the component library, completing their baseline modeling and attribute solidification. Subsequently, the element styles of these atomic-level components are uniformly defined, such as button text background styles, etc., and stored in style templates, laying the foundation for subsequent cascading updates through reference relationships. Next, the molecular assembly stage begins: button atoms and group background atoms are assembled using layout functions, and relative position constraints are applied to construct toolbar button group molecules; simultaneously, tab label atoms are added to repeaters to generate dynamically switchable tab page molecules. Afterward, organizational arrangement is performed: the above molecular-level components are reused, and their linkage rules and coverage strategies are defined to assemble complete Ribbon toolbar organizational-level components. Finally, when the corner radius attribute of the button atom in the atom library is modified (e.g., changed from 0px to 5px), the parameter synchronization and cascading update mechanism described in this invention is triggered: the system automatically locates all instances of molecules (e.g., Ribbon Group) and organizations (e.g., Ribbon Toolbar) that reference the atom through influence domain calculation, and generates differential snapshots and applies parameter updates, ultimately achieving global style synchronization from atom to molecule and then to organization-level components. This intuitively verifies the inheritance and cascading mechanism of one-time modification and global update, demonstrating significant beneficial effects in ensuring interface consistency and improving development efficiency.

[0029] In one embodiment, reference is made to Figure 4 This is a flowchart illustrating a modular prototype interface construction method provided in an embodiment of the present invention. The process may include at least steps S100-S600: S100: Obtain style templates, variable tables, and master reference diagrams; perform baseline modeling, range labeling, consistency verification, and structured storage processing; and generate baseline modeling and range labeling output data. S200: Obtain baseline modeling and range labeling output data, perform atomic registration, attribute solidification, parameter snapshot generation and index writing processing, and generate atomic registration and attribute solidification output data; S300: Based on the output data of atomic registration and attribute solidification, perform molecular assembly, double list trimming, constraint graph and molecular reference list generation processing to generate molecular assembly and double list trimming output data; S400: From molecular assembly and dual-list trimming output data, perform organizational orchestration, coverage strategy, dependency graph and whitelist generation processing to generate organizational orchestration and coverage strategy output data; S500: Based on the output data of the organization and coverage strategy, the organization mapping finalization and molecular reference list are sequentially aligned according to the reading order identifier to establish an initial mapping table of organization nodes and molecular nodes. The trigger candidate set is constructed with the trigger conditions and propagation boundary in the linkage rule finalization as constraints. Then, the alignment constraints and spacing constraints between molecular nodes are checked within the local constraint terms to generate a local geometric relationship table. Starting from the trigger conditions of the linkage rule finalization, the propagation exploration is carried out along the edge of the dependency graph finalization to form a propagation hierarchy table and a coverage link table. Then, for the strongly affected objects, the source entries and affected entries are traced according to the change trajectory mapping chain to form an entry-level differential unit and generate a batched differential patch group. Using the parameter snapshot set as the state source, the state of all atomic parameter entries in the affected entry set is collected according to the reading order identifier to generate organization-level consistency snapshots and molecular-level consistency snapshots. The influence domain calculation and differential snapshot output data are generated. S600 performs parameter update and structure mapping closed-loop processing based on influence domain calculation and differential snapshot output data, generating parameter update and structure mapping closed-loop output data.

[0030] Step S100 includes at least steps S110-S130: S110. Obtain the style template, variable table and master reference diagram, prepare for baseline modeling and range labeling, and obtain the input data for baseline modeling and range labeling.

[0031] In this invention, the style template is a structured data set that defines the visual styles of interface elements and their hierarchical inheritance relationships, specifically including style names, style levels, inheritable attributes, and hierarchical order; the variable table is a data table that records the dynamic parameter configuration of the interface, specifically including variable names, variable value ranges, default values, and controlled area identifiers; the master reference diagram is a baseline drawing representing the overall layout of the interface and the reference relationships between components, specifically including page area division coordinates, reference anchor point positions, reference anchor point hierarchical labels, and cross-hierarchical transfer boundary identifiers. These three elements together constitute the input source for baseline modeling. The initial set of entries formed after file reading, entry parsing, and hierarchical expansion provides structured input for the subsequent generation of candidate assignment relationships, initial mapping relationships, and range label placeholder information.

[0032] Specifically, firstly, using the style templates, variable tables, and master reference diagrams from the prototype project as data sources, file reading, item parsing, and hierarchical expansion are completed to form an initial set of items containing style names, style levels, inheritable attributes, variable names, variable value ranges, default values, page areas, reference anchors, and hierarchical order. Subsequently, the aforementioned initial set of items undergoes format standardization and naming conventions. Style names and variable names are aligned according to a unified naming rule, the page areas in the master reference diagram are divided into identifiable area segments according to page coordinate order, and each reference anchor is labeled with its position and hierarchy, forming a directly identifiable... The system first establishes a general structure for matching; then, based on baseline modeling rules and range labeling rules, it establishes candidate assignment relationships between style template entries and variable table entries, and maps these candidate assignment relationships to page areas and reference anchors in the master reference diagram, generating initial mapping relationships; while generating initial mapping relationships, it sets range labeling placeholder information for each mapping unit to indicate the effective interface, controlled area, and cross-level transfer boundary; furthermore, it registers entries that fail to complete mapping, forming a list to be supplemented, and records differences for duplicate or missing fields to ensure that the data entering the next step of processing has an identifiable source and traceable location. Thus, using the general structure of style templates, variable tables, and master reference diagrams as input, and the initial mapping relationships that complete rule matching and range labeling placeholders as output, the baseline modeling and range labeling input data are summarized; the baseline modeling and range labeling input data includes an entry list, initial mapping relationships, and range labeling placeholder information, and serves as a direct data source for extracting binding relationships and unique numbers in subsequent steps, while also providing stable numbering and positioning entry points for subsequent atomic registration and attribute solidification.

[0033] S120. Extract the binding relationship and unique number from the baseline modeling and range labeling input data, perform baseline modeling and range labeling processing, and obtain intermediate baseline modeling and range labeling data.

[0034] Specifically, using the baseline modeling and range labeling input data as input, the style template entries and variable table entries are traversed one by one. Based on the initial mapping relationship, the corresponding positions are located in the page area and reference anchor points of the master reference image. The association relationship between the style entries and variable entries at that position is confirmed, forming a binding relationship unit. For bindings with one-to-many and many-to-one situations, binding groups are established respectively, and the binding order and overriding order are recorded so that each binding relationship unit can be traced back to a unique style entry and variable entry. Furthermore, a unique number is generated for each binding relationship unit. The unique number consists of a source identifier, a hierarchy identifier, and a sequence identifier, and is established in a one-to-one correspondence with the range labeling placeholder information. The number pointer is used to perform attribute fixation and parameter snapshot generation for the same binding relationship unit in subsequent atomic registration and attribute fixation; at the same time, multiple binding relationship units in the same page area are sorted according to the coverage order and written into the binding order list to ensure the consistency of the subsequent reading order; furthermore, the binding relationship set and the unique number set are structurally merged with the initial mapping relationship and the range label placeholder information to form a unified structure containing five elements: entries, mappings, bindings, numbers, and ranges; during the structural merging process, duplicate bindings are merged, bindings without target references are removed and written back to the list to be supplemented, and number conflicts are rearranged and the rearrangement record is registered. Therefore, taking the baseline modeling and range labeling input data as input, and the extracted binding relationships and unique numbers as the core, intermediate baseline modeling and range labeling data is output. The intermediate baseline modeling and range labeling data includes a binding relationship set, a unique number set, a binding order list, and range labeling placeholder information. In the next step, it serves as the sole data basis for consistency verification and structured storage, and will directly provide the numbering entry and range positioning information required for atomic registration and attribute solidification initialization.

[0035] S130. Perform consistency verification and structured storage on the intermediate data of baseline modeling and range labeling to generate baseline modeling and range labeling output data.

[0036] Specifically, firstly, using the intermediate data from the baseline modeling and range labeling as input, consistency checks are performed sequentially according to the unified structure of the item layer, mapping layer, binding layer, numbering layer, and range layer: At the item layer, cross-template duplication checks are performed, retrieving items with the same style name and variable name from different sources, uniquely processing name conflicts, and registering the processing records; at the mapping layer, cross-level missing checks are performed, supplementing and registering mapping items that cannot be located in the page area or reference anchor point in the master reference diagram, and writing placeholder marks in the mapping relationship; at the binding layer, targetless reference checks are performed, removing binding relationship units that cannot form a closed relationship with items and writing them back to the supplementary list; at the numbering layer, sequential uniqueness checks are performed, ensuring that each unique number corresponds one-to-one with the range labeling placeholder information, and that there is no duplicate order within the same page area; at the range layer, cross-topic conflict checks are performed, trimming and merging the range labeling placeholder information that overlaps between different items within the same page area, and forming range trimming and merging records. After consistency verification, the process proceeds to structured storage: Using entries as the main table and association mappings, bindings, numbers, and ranges as supplementary tables, a retrieval index is built according to the reading order and hierarchical identifiers. A stable reading order is written to the binding order list, and placeholder information for range labels is written to the final range label, forming baseline modeling and range labeling output data that can be directly read by subsequent steps. During structured storage, an entry index list and a reading order list are generated simultaneously to ensure consistency in cross-level retrieval and sequential access. Further, the baseline modeling and range labeling output data is registered as an engineering-grade usable dataset, which includes an entry list, mapping relationships, binding relationships, unique numbers, final range labels, binding order list, entry index list, and reading order list. This engineering-grade usable dataset is then used as input for atom registration and attribute solidification. The unique numbers and final range labels are read by atom registration and attribute solidification to locate the atoms to be registered and to perform template reference path and variable reference path parsing, thereby generating parameter snapshots and writing indexes in atom registration and attribute solidification. Subsequently, the atom registration and attribute solidification output data is processed by the molecular... The assembly and dual-list trimming data is read to perform layout adsorption and spacing verification and generate constraint diagrams and molecular reference lists. Subsequently, the molecular assembly and dual-list trimming output data is read by the organization orchestration and coverage strategy to establish organization mapping and linkage rules and generate dependency graphs and whitelists. Then, the organization orchestration and coverage strategy output data is read by the influence domain calculation and differential snapshot to aggregate organization nodes and molecular nodes and generate differential patches and consistency snapshots. Finally, the influence domain calculation and differential snapshot output data is read by the parameter update and structure mapping closed-loop to compare topic differential and snapshot records and complete stability tag writing and file registration.In summary, the baseline modeling and range labeling output data provides unique identifiers, range labels, and stable reading order for atom registration and attribute solidification, molecular assembly and dual-list pruning, organization arrangement and coverage strategy, influence domain calculation and differential snapshot, and parameter update and structure mapping closed loop from front to back. From back to front, consistent retrieval and backtracking reference are achieved through the entry index list and binding order list, thereby completing the closed-loop transfer and traceable access of data without adding additional processing steps. The input of this step is the baseline modeling and range labeling input data, and the output is the baseline modeling and range labeling output data. The two are processed hierarchically and sequentially through the intermediate data of baseline modeling and range labeling, and are seamlessly connected with subsequent steps.

[0037] Step S200 includes at least steps S210-S230: S210. Obtain the baseline modeling and range labeling output data, perform atomic registration and attribute solidification initialization, and obtain atomic registration and attribute solidification input data.

[0038] Specifically, taking the entry list, mapping relationships, binding relationships, unique numbers, final range labels, binding order list, entry index list, and reading order list from the baseline modeling and range labeling output data as input, the traversal order is determined according to the reading order list. The entry list is read one by one, and the corresponding mapping and binding relationships are located based on the entry index list, forming an atomic candidate set that can be used for atomic registration. Simultaneously with forming the atomic candidate set, a number pointer is established for each candidate based on the unique number in the binding relationship, and the final range label is written into the candidate's range field, resulting in a candidate record containing a source number, level identifier, reading sequence number, and range field. After the candidate record is established, a path parsing queue and an attribute solidification rule set are generated. The path parsing queue is used to maintain a processing order consistent with the reading order list when parsing template reference paths and variable reference paths subsequently. The attribute solidification rule set is used to constrain the source, priority, and coverage order of values ​​when solidifying style attributes and variable values ​​subsequently. Furthermore, multiple bindings identified by the binding order list within the same page area are sequentially expanded, and the coverage areas of the previous and subsequent bindings are written into a temporary lookup table for handling coverage relationships in the attribute solidification stage. Candidate records for which page areas or reference anchors cannot be located in the mapping relationship are registered as records to be supplemented, and the gap positions are marked in the input data for supplementation and write-back in subsequent processes. After the above processing, atomic registration and attribute solidification input data are output. The atomic registration and attribute solidification input data includes an atomic candidate set, number pointer, range field, path resolution queue, attribute solidification rule set, temporary lookup table, and records to be supplemented. This data serves as the sole upstream basis for subsequent parsing template reference paths and variable reference paths, and is referenced as a preliminary basis for parameter snapshots in subsequent molecular assembly and dual list trimming.

[0039] S220. Parse the template reference path and variable reference path from the atomic registration and attribute solidification input data, perform atomic registration and attribute solidification processing, and obtain intermediate data for atomic registration and attribute solidification.

[0040] Specifically, using the path parsing queue as the main processing line, candidate records are dequeued one by one according to the reading order list. The template level position is determined based on the page area and reference anchor point in the mapping relationship, generating a template reference path. Then, variable entries are located based on the variable names and value sources in the binding relationship. The coverage order of multiple variables in the same position is determined by combining the binding order list, generating a variable reference path. For template entries with multi-level inheritance, the hierarchy shown in the entry index list is expanded from top to bottom. The upper-level style attributes and lower-level style attributes are written into the merging table according to the attribute solidification rule set, forming the template attribute merging result. For variable entries with both default values ​​and bound values, the bound values ​​are solidified as variable attribute values ​​first according to the attribute solidification rule set, and the retention mark of the default value is recorded in the merging table. Further, using the number pointer as the primary key, the template reference path and variable reference path are written into the atomic registration table. The registration table also writes the coverage relationship in the range field and the temporary lookup table to ensure that the order of multiple bindings in the same page area is consistent during attribute solidification. After the atomic registry table is written, attribute solidification records are generated based on the template attribute merging results and variable attribute values. For each numbered unit, the attribute solidification record contains the attribute name, value source, coverage order, and final value, maintaining a one-to-one correspondence with the primary key in the atomic registry table. Records with missing reference paths or contradictory coverage orders are registered as abnormal records and merged with records to be supplemented in subsequent steps; they are not included in this parameter snapshot generation. After the above parsing and solidification processes, intermediate data for atomic registration and attribute solidification is output. This intermediate data includes the atomic registry table, attribute solidification records, template attribute merging results, variable reference paths, template reference paths, abnormal records, and coverage relationship comparisons. It maintains a traceable connection with the previous step through the primary key and range field, allowing for direct reading during subsequent parameter snapshot generation and index writing.

[0041] S230. Perform parameter snapshot generation and index writing on the intermediate data of atomic registration and attribute solidification to generate atomic registration and attribute solidification output data.

[0042] Specifically, using the atom registry and attribute solidification records as input, the template attribute merging results and variable attribute values ​​are aggregated according to the primary key of the number. A parameter snapshot entry is created for each atom, containing a set of style attributes, a set of variable attributes, an overlay order identifier, and a range field. When creating a parameter snapshot entry, the template reference path and variable reference path are written into the snapshot's path field, and the overlay relationship is written into the snapshot's relationship field, ensuring that any parameter snapshot can be located to its source entry and overlay link by the primary key of the number. Further, a reading sequence number is generated for each parameter snapshot entry according to the reading order list, and the mapping relationship between the sequence and the number is registered in the entry index list, forming a snapshot reading index table. Simultaneously, the mapping relationship between the snapshot generation order and the binding order is registered in the binding order list, forming a snapshot binding index table. This ensures that atomic parameters are read in a consistent order during subsequent molecular assembly and dual-list trimming for layout adsorption and spacing verification. Next, the parameter snapshot entries, snapshot read index table, and snapshot binding index table are written into the engineering-level index. After the index writing is completed, the atomic registration and attribute solidification output data are output. The atomic registration and attribute solidification output data includes a parameter snapshot set, a snapshot read index table, a snapshot binding index table, a template reference path, a variable reference path, and a range field. These are called as direct inputs for molecular assembly and double list trimming. The parameter snapshot set provides atomic-level attribute references, the snapshot read index table provides the read sequence, and the snapshot binding index table provides the assembly order. At the same time, the template reference path and variable reference path are inherited as path records in subsequent organization and overlay strategies to support the generation of dependency graphs and whitelists. The range field is read as the aggregation basis in subsequent influence domain calculations and differential snapshots, participating in the generation of differential patches and consistency snapshots. The primary key and its index are reused as the reference key for writing stability markers and registering archives in the parameter update and structure mapping closed loop. In summary, this step takes the baseline modeling and range labeling output data as input to generate atom registration and attribute solidification input data, then obtains intermediate data for atom registration and attribute solidification, and finally forms atom registration and attribute solidification output data. Without introducing additional external data, it completes the connection between atom layer registration, attribute layer solidification, and snapshot layer indexing. This provides directly readable parameter snapshots and traceable path indexes for subsequent molecular assembly and dual list trimming, organization and coverage strategies, influence domain calculation and differential snapshots, as well as parameter updates and structure mapping closed loops, forming a closed and implementable link.

[0043] Step S300 includes at least steps S310-S330: S310. Obtain the atom registration and attribute solidification output data, perform molecular assembly and dual list trimming preparation, and obtain molecular assembly and dual list trimming input data.

[0044] Specifically, using the parameter snapshot set, snapshot reading index table, snapshot binding index table, template reference path, variable reference path, and range field from the atom registration and attribute solidification output data as input, the reading order is determined according to the snapshot reading index table. The parameter snapshot set is read one by one, and the assembly order of atoms within the same page area is restored according to the snapshot binding index table. Understandably, the style and alignment bases of the molecular assembly positions are first determined based on the template reference path, and then the parameter occupancy and value source of the molecular assembly positions are determined based on the variable reference path, forming candidate entries for molecular assembly positions. Further, using the range field as the grouping key, atomic parameter snapshots belonging to the same controlled region are aggregated into a molecular candidate set. For each molecular candidate set, an assembly reference surface, adsorption anchor points, and spacing scale are generated. The assembly reference surface is used to define the positioning plane of the molecule on the page, the adsorption anchor points are used to constrain the alignment and proximity landing points, and the spacing scale is used to constrain the minimum and maximum spacing between adjacent elements. Furthermore, for entries with a coverage order within the same controlled area, a temporary coverage chain is written according to the coverage order given by the snapshot binding index table, and the range endpoints of the covered entries are registered in the temporary coverage chain for subsequent trimming and relocation in assembly. After completing the above processing, molecular assembly and dual-list trimming input data are summarized. This molecular assembly and dual-list trimming input data includes a molecular candidate set, assembly reference surface, adsorption anchor point, spacing scale, temporary coverage chain, reading order, and range fields. It serves as the sole upstream basis for subsequent layout adsorption and spacing verification, while maintaining a one-to-one correspondence with the parameter snapshot set to ensure that subsequent organization and coverage strategies can follow the reading order and coverage path.

[0045] S320. Perform layout adsorption and spacing verification from the molecular assembly and dual list trimming input data, and perform molecular assembly and dual list trimming processing to obtain intermediate data for molecular assembly and dual list trimming.

[0046] Specifically, assembly units from the candidate molecular set are retrieved one by one according to the reading order. Alignment references matching the template reference path are retrieved on the assembly reference surface. The positioning points of the assembly units are then aligned with the adsorption anchor points, and the position and hierarchical order after alignment are recorded to form an initial pose record. After the initial pose record is generated, the spacing between the aligned assembly units and their adjacent units is checked according to the spacing scale. When an adjacent spacing is detected to be less than the lower limit or greater than the upper limit, an adjustment command is generated. Adjustment commands include three types: fine-tuning displacement, sequence exchange, and region yielding. Fine-tuning displacement is used for minor translations within the reference surface; sequence exchange is used to exchange the stacking order within the coverage chain; and region yielding is used to move items marked as yieldable within their boundaries. Furthermore, for scenarios with multiple overlapping ranges in the temporary coverage chain, overlapping segments are calculated sequentially according to the coverage order. The visible range of the covered unit is retained, the intersecting range of the covered unit is marked as the occluded range, and the remaining unoccluded range is written back to the pose record, thus distinguishing between visible and occluded ranges. For pose updates caused by relocation or exchange, adjacent spacing is recalculated in real time and the spacing verification record is updated to ensure that the verification result is consistent with the final position. Understandably, verification and adjustment are iteratively performed within the same controlled area until all assembly units meet the spacing scale and coverage order requirements. After completing the above fitting, verification, and adjustment, intermediate data for molecular assembly and dual-list trimming is generated. This intermediate data includes pose records, spacing verification records, coverage chain update records, visible and occluded interval annotations, and a reference candidate compilation. The reference candidate compilation is aggregated from the template reference paths and variable reference paths actually used by each assembly unit during assembly, and is used for direct reference when generating the molecular reference list later. Simultaneously, the reading order and range fields are retained in the intermediate data to ensure that the subsequent constraint map construction and organization maintain a consistent processing order and region boundaries. Through the aforementioned processing, the pose records and coverage chain update records jointly define the geometric and stacking relationships of the molecular layer assembly, and the spacing verification records and visible interval annotations jointly define the display range and adjacency control. These items serve as necessary inputs for generating the constraint map and molecular reference list.

[0047] S330. Generate constraint diagrams and molecular reference lists from the intermediate data of molecular assembly and dual list trimming, and generate output data of molecular assembly and dual list trimming.

[0048] Specifically, using pose records as node sources and coverage chain update records and spacing verification records as relation sources, a constraint graph is constructed with nodes and edges. Nodes describe the final position, level, and visible range of each assembly unit within a molecule, while edges describe alignment constraints, spacing constraints, and coverage constraints between assembly units. For assembly units sharing styles or variables within the same controlled region, a shared state identifier is added to the constraint graph to indicate possible linked updates in subsequent organization and orchestration. When generating constraint graph nodes, a range field is written into the node's region attribute to limit the boundary of the node's range read by the organization and orchestration. When generating constraint graph edges, the corresponding constraint source is written into the relation attribute to limit the aggregation path during subsequent influence domain calculations. Subsequently, using candidate assemblies as data sources, and combining the reading order and pose records, a list of molecular reference items is generated one by one. Each item contains a molecule identifier, assembly unit identifier, template reference path, variable reference path, coverage order, and reading sequence number, and a one-to-one correspondence is established between the item and the node in the constraint graph, allowing the item to trace back to the final position and level of the assembly unit. Furthermore, multiple list items under the same molecular identifier are sorted according to their read sequence number and written into the list sorting index. Multiple lists under the same page area are grouped according to the range field and written into the list grouping index. For items in obscured regions, obscuration markers are added to the list items so that invisible segments can be identified when calculating linkage and coverage strategies in subsequent organization and arrangement. Next, the constraint diagram and molecular reference list are summarized to form molecular assembly and dual-list trimming output data. The output data includes the constraint diagram, molecular reference list, list sorting index, list grouping index, obscuration marker summary, and range field mapping. The molecular assembly and dual-list trimming output data are read as direct inputs to the organization orchestration and coverage strategy. The organization orchestration and coverage strategy determines the dependency edges and trigger chains of the organization mapping based on the constraint graph, determines the content mapping and visibility rules based on the molecular reference list, and limits the scope and whitelist boundaries of the coverage strategy based on the list grouping index and range field mapping. In subsequent influence domain calculations and differential snapshots, the relational attributes and range field mappings of the constraint graph are used to aggregate organization nodes and molecular nodes and generate differential patches and consistency snapshots. In the parameter update and structure mapping closed loop, the sorting index and masking identifier of the molecular reference list are used to compare topic differentials and snapshot records and complete the writing of stability markers and file registration. In summary, this step starts from the atomic registration and attribute solidification output data, and through the step-by-step connection of the molecular assembly and dual-list trimming input data and intermediate data, finally outputs a constraint graph and molecular reference list that can be directly consumed by the organization orchestration and coverage strategy. This achieves a complete expression of assembly positioning, spacing control, and coverage management at the molecular level, and provides structured boundary and path descriptions for subsequent influence domain calculations and consistency snapshot generation.

[0049] Step S400 includes at least steps S410-S430: S410. Obtain the molecular assembly and dual list trimming output data, prepare the organization and coverage strategy, and obtain the organization and coverage strategy input data.

[0050] Specifically, using available data from molecular sets, constraint graphs, and molecular reference lists as input, and the organizational layer reading order as external control, molecular entries are first merged within the controlled areas of pages and modules. An organizational layer hierarchy draft is formed according to the alignment, spacing, and coverage relationships recorded in the constraint graph, and an organizational container identifier and hierarchy number are set for each aggregation unit in the draft. Subsequently, combining the template reference identifiers and variable reference identifiers pointed to in the molecular reference list, a shared registration is established for entries with shared states, forming a set of participating fields for linkage relationships. Within the same organizational container, the participating field set is mapped to a combination of triggering conditions, propagation range, and termination conditions, and registered as a linkage rule register draft. Further, based on cross-container references and cross-regional stacking information in the constraint graph, the reference pointers, coverage order, and reading order between organizational nodes are extracted, generating a dependency graph draft and a dependency order table draft. The dependency graph draft records the propagation path at the organizational node level, and the dependency order table draft arranges the access order between nodes according to the reading and coverage order. After the above collection is completed, the draft organization hierarchy, the draft linkage rule register, the draft dependency graph, and the draft dependency order table will be registered together as input data for organization orchestration and coverage strategy. A source identifier and a processing time identifier will be written for each registered item, so that the source entries and time points corresponding to the available data of the molecular set, constraint graph, and molecular reference list can be traced in the future, so as to achieve consistent continuity with the previous assembly stage.

[0051] S420. Establish organizational mapping and linkage rules from the organizational orchestration and coverage strategy input data, perform organizational orchestration and coverage strategy processing, and obtain intermediate data of organizational orchestration and coverage strategy.

[0052] Specifically, starting with the draft organizational hierarchy, each sub-entry corresponding to each organizational container identifier is checked one by one. The alignment, spacing, and coverage relationships in the constraint diagram are reviewed and confirmed within the organizational containers to form an organizational hierarchy mapping table. The organizational hierarchy mapping table records the final hierarchy number, coverage scope, and coverage priority for each organizational container. Subsequently, based on the draft linkage rule register, the set of participating fields is finalized item by item: for shared template reference identifiers and variable reference identifiers, triggering conditions and propagation boundaries are determined, and linkage rules are finalized on a per-organization-container basis; for cases where propagation crosses multiple organizational containers, the propagation direction and triggering order are limited with reference to the draft dependency graph and dependency order table, and written into the trigger chain. Then, using the draft dependency graph and dependency order table as input, the transmission paths and priorities between organizational nodes are checked to eliminate contradictions between the reading order and the coverage order, generating the finalized dependency graph and dependency order table. The aforementioned draft organizational hierarchy, draft linkage rule register, draft dependency graph, and draft dependency order table, after review, finalization, and consistency confirmation, respectively form the final organizational hierarchy, final linkage rule, and final dependency graph. Together, these three constitute the organizational set, linkage rule, and dependency graph arrangement data. During registration, a source identifier and processing time identifier are written for each entry, and a source traceability relationship is established with the available data of the molecular set, constraint graph, and molecular reference list to ensure that the combination records of the organizational layer can be traced back to the reference boundaries and sharing status of the molecular and atomic layers.

[0053] S430. Generate a dependency graph and whitelist for intermediate data of organization orchestration and coverage strategies, and generate output data for organization orchestration and coverage strategies.

[0054] Specifically, using the organization sets, linkage rules, and dependency graph orchestration data from the intermediate data of organization orchestration and coverage strategies as the sole input, the first step is to perform coverage strategy annotation processing: The coverage scope and priority order recorded in the organization layer mapping table are read and compared with the participating fields in the finalized linkage rules. Template reference identifiers and variable reference identifiers that allow coverage are written into the coverage strategy table at the node granularity of the organization layer. The coverage strategy table supplements each organization node with the applicable scenarios, trigger chains, and rollback references for coverage, ensuring that coverage behavior has queryable triggering bases and rollback references during subsequent scheduling. When the coverage strategy involves cross-module or cross-page participants, a cross-scope path record is established for the coverage strategy based on the dependency edges and dependency order table in the finalized dependency graph. This allows subsequent scheduling to locate the impact boundary of the coverage write on the path, and the path record is included in the related items of the coverage strategy table. Following this, whitelist settings are implemented: Based on the coverage strategy table, template reference identifiers and variable reference identifiers that can be shared for reading but are not allowed to be overwritten are registered item by item. Registration is done on a node-by-node basis within the organization layer, and each whitelist entry is compared with the trigger chain in the finalized linkage rules to ensure that read actions on the trigger chain do not trigger any overwrites. For molecular reference relationships with shared tags, the shared visible fields are added to the whitelist to prevent subsequent policy changes from mistakenly including shared fields in the coverage scope. After completing the coverage strategy annotation and whitelist settings, consistency verification is performed between the coverage strategy table and the whitelist table: First, a consistency comparison is performed between the coverage priority order and the dependency order table. If inconsistencies are found, the coverage strategy table is corrected based on the finalized dependency graph, and the reason for the correction and the source location are written in the correction record. Second, a connectivity comparison is performed between the coverage scope and the visibility marker to confirm that the coverage scope has not exceeded its limits and is compatible with the visibility configuration. Third, a correspondence comparison is performed between whitelist entries and shared tags to confirm that the whitelist does not contain entries that conflict with shared tags. After consistency verification, the organizational-level finalization, linkage rule finalization, dependency graph finalization, and coverage strategy table and whitelist table are jointly solidified. This joint solidification generates usable data for the organizational set, linkage rules, and dependency graph. Simultaneously, query entry points and search conditions are registered, including paths such as searching by organizational identifier, by trigger chain, by coverage scope, and by whitelist item, enabling subsequent steps to directly access the data through defined entry points. The aforementioned usable data for the organizational set, linkage rules, and dependency graph is explicitly marked in the process record as direct input for subsequent impact scope calculations and change record generation based on this data and the available data for the molecular set, constraint graph, and molecular reference list. It is also marked as the upstream semantic baseline for topic differentiation and derived description and playback record calculations based on the available data for the impact domain, differential patch, and consistency snapshot, achieving a closed-loop connection and cross-layer mapping from molecular-level data to organizational-level data.

[0055] In summary, steps s410 to s430 take available data from molecular sets, constraint graphs, and molecular reference lists as input. They first compile and form draft organizational hierarchy, draft linkage rule register, draft dependency graph, and draft dependency order table. After review and finalization, these are compiled into organizational set, linkage rule, and dependency graph arrangement data. Finally, through coverage strategy annotation, whitelist setting, consistency verification, and joint solidification, available data of organizational set, linkage rule, and dependency graph are output. The available data carries source identifiers and processing time identifiers and can be traced back to previous molecular layers. It is also read as direct input for subsequent impact range calculation and change record generation. Thus, within the step chain of the modular prototype interface construction method of this invention, seamless connection and sequential consistent reading between organizational arrangement and coverage strategy and impact domain calculation are completed.

[0056] Step 500 includes at least steps S510-S530: S510. Obtain the output data of the organization orchestration and coverage strategy, perform influence domain calculation and differential snapshot preparation, and obtain the input data for influence domain calculation and differential snapshot.

[0057] Specifically, the organization orchestration and coverage strategy output data serves as the sole upstream input. This output data includes the organization mapping finalization, linkage rule finalization, dependency graph finalization, coverage strategy table, whitelist table, read order identifier, and range field mapping. To satisfy cross-level integration, the constraint graph and molecular reference list registered in molecular assembly and dual-list trimming, as well as the parameter snapshot set generated in atom registration and attribute solidification, are retrieved together. This data, as registered and usable basic data, is incorporated into the same read channel. Specifically, firstly, the organization mapping finalization and molecular reference list are aligned sequentially according to the read order identifier to establish an initial mapping table between organization nodes and molecular nodes. This initial mapping table is grouped by range field mapping to ensure that each organization node only aggregates molecular nodes within its corresponding controlled region. Subsequently, a trigger candidate set is constructed using the trigger conditions and propagation boundaries in the linkage rule finalization as constraints. During the construction process, the coverage paths and coverage priority order registered in the coverage strategy table are used as limiting conditions, and the read-only entries registered in the whitelist table are used as exclusion conditions, forming a set containing only entries that can participate in propagation and can be overwritten. Furthermore, to maintain consistent geometry and stacking relationships with the molecular layer in subsequent hierarchical aggregation, alignment constraints, spacing constraints, and coverage constraints from the constraint graph are read and written into the local constraint items of the organization nodes. For each organization node, a pairing record of local constraint items and trigger candidate sets is generated to indicate the propagation reachability and coverage reachability within that organization node. Again, using the primary key of the number in the parameter snapshot set as a unified index, the aforementioned pairing records are referenced to their corresponding atomic parameter entries, forming the influence domain calculation and differential snapshot input data. This input data includes the initial mapping table between organization nodes and molecular nodes, the trigger candidate set, local constraint items, coverage restriction set, read-only exclusion set, and snapshot index references. The process registration explicitly indicates that its source is from the organization orchestration and coverage strategy output data, constraint graph, molecular reference list, and parameter snapshot set, ensuring the traceability of data source and order relationships in subsequent processing.

[0058] S520. Aggregate organization nodes and molecular nodes from the input data of the influence domain calculation and differential snapshot, and perform influence domain calculation and differential snapshot processing to obtain intermediate data of influence domain calculation and differential snapshot.

[0059] Specifically, using the initial mapping table as the main thread, each organizational node is expanded sequentially according to the reading order. First, the alignment and spacing constraints between molecular nodes are checked within the local constraint terms, generating a local geometric relationship table. Molecular nodes that do not meet the constraints are marked as nodes to be corrected. The nodes to be corrected are prioritized according to the coverage constraint set, and if necessary, the stacking adjustment record is registered in the local geometric relationship table according to the coverage priority order. Subsequently, the propagation aggregation begins: starting from the trigger condition of the finalized linkage rule, propagation exploration is carried out along the edge of the finalized dependency graph. During the propagation process, the propagation boundary is constrained by the range field, read-only entries are excluded by the whitelist table, and the coverage path is pruned by the coverage constraint set. When the propagation crosses to an adjacent organizational node, the local constraint terms of the adjacent organizational node are merged into the current propagation path, forming a cross-node constraint closed loop record. During the propagation exploration process, a reachable identifier is written for each reachable entry, and a propagation hierarchy table is formed by accumulating propagation generations. A coverage identifier is written for each entry affected by coverage, and the coverage source, coverage order, and coverage scope are recorded to form a coverage link table. Furthermore, using the parameter snapshot set as a state reference, each entry identified in the propagation hierarchy table and the coverage link table is associated with its corresponding atomic parameter entry, forming an affected entry set. Within the affected entry set, source styles and source variables are merged according to the linkage group relationship to generate a hierarchical list of strong and weak affected objects. Strong affected objects record entries caused by direct triggering or direct overwriting, while weak affected objects record entries caused by linkage propagation or adjacency constraints. Next, change trajectories are calculated for both strong and weak affected objects: using the current parameter value and read order identifier in the parameter snapshot set as a reference, a mapping chain from source entry to affected entry is registered, and a range field mapping is written to the chain for subsequent region clipping during differential generation. Simultaneously, a read / write conflict warning table is generated to record possible parallel writes of the same entry on the propagation and coverage paths. Through the above aggregation, propagation, and hierarchical processing, intermediate data for impact domain calculation and differential snapshots are output. This intermediate data includes a local geometric relationship table, overlay adjustment records, propagation hierarchy table, coverage link table, impact item set, hierarchical list of strong and weak impact objects, change trajectory mapping chain, and read / write conflict prompt table. It is kept aligned with the primary key of the parameter snapshot set so that the next step can directly generate differential patches and consistency snapshots.

[0060] S530. Perform differential patching and consistency snapshot generation on the intermediate data of the influence domain calculation and differential snapshot to generate the output data of the influence domain calculation and differential snapshot.

[0061] Specifically, using the set of affected items and the hierarchical list of strongly and weakly affected objects as core inputs, a differential baseline is first established: when the process has a previous consistency snapshot, the parameter values ​​and structural order in the previous consistency snapshot are used as a reference; when the process is executed for the first time, the current parameter values ​​and structural order in the parameter snapshot set are used as the reference baseline and recorded as a zero snapshot record. Subsequently, incremental differentials are generated for strongly affected objects: for each strongly affected object, the source item and affected item are traced according to the change trajectory mapping chain, and the differences in parameter values, structural order and visible segments between the reference baseline and the current state are compared to form item-level differential units; read order identifiers, range field mappings and coverage order are written into the item-level differential units to accurately locate the write order and region boundaries during subsequent scheduling write-back; then the item-level differential units are grouped by organizational nodes and sub-nodes to generate batched differential patch groups, and cross-node path records are attached to the differential patch groups for path addressing during cross-container writes. Furthermore, associated differentials are generated for weakly affected objects: Following the generational order recorded in the propagation hierarchy table, the parameter references, visibility, and overlay relationships of weakly affected objects are compared level by level with the baseline and the current state. Differences involving only reference updates or display pruning are registered as associated differential items. Differences involving both parameter value changes and coverage link adjustments are split into parameter differential items and coverage differential items, with a sequence dependency written between them. Subsequently, the differential patch groups of strongly affected objects and the associated differential items of weakly affected objects are combined to form a differential patch master table. References to the whitelist table and coverage strategy table are written into the differential patch master table. Differentials involving whitelist entries are marked as read-only and removed from the write queue. Differentials involving the coverage strategy table are written with coverage strategy identifiers and rollback references. In parallel with differential generation, consistency snapshot generation is performed: using the parameter snapshot set as the state source, the state of all atomic parameter entries within the affected entry set is collected according to the reading order identifier. The collected content includes style attribute set, variable attribute set, path field, relation field, and range field. The collected states are summarized by organizational node and molecular node as dimensions to generate organizational layer consistency snapshots and molecular layer consistency snapshots. A summary and timestamp summary of the dependency graph finalization are written to the snapshot header for comparison and verification in subsequent parameter updates and structure mapping closure loops. Next, consistency verification is performed between the differential patch master table and the consistency snapshots: based on the read / write conflict prompt table, it is checked whether the same affected entry is written in parallel within the same reading window. If so, it is pruned according to the coverage priority and dependency order, and the pruning record is recorded. Based on the local geometry relation table and stacking adjustment record, it is checked whether the writing of positions and levels involved in the differential patch is consistent with the current geometry and stacking relationship. If inconsistent, an order adjustment item is inserted into the differential patch master table, and the reason for the adjustment is recorded.After consistency verification, the impact domain calculation and differential snapshot output data are output. This output data includes a differential patch summary table (containing differential patch groups for strongly impacted objects and associated differential items for weakly impacted objects), organizational-level consistency snapshots, molecular-level consistency snapshots, pruning records, order adjustment items, and path addressing information. It is explicitly marked in the process registration as a direct input for the parameter update and structure mapping closed loop. The organizational-level consistency snapshots and molecular-level consistency snapshots are read during subsequent comparisons of topic differentials and snapshot records. The differential patch summary table serves as the basis for batch scheduling and order control during subsequent write-back and registration. In summary, steps S510 to S530, while maintaining consistency with the organizational orchestration and coverage strategy output data, constraint diagrams, molecular reference lists, and parameter snapshot sets, complete the aggregation of organizational nodes and molecular nodes, the layering of impacted objects, and the generation of a complete set of differential patches and consistency snapshots. This forms an incremental data foundation that can be directly called by the downstream parameter update and structure mapping closed loop, with a clear order and pruning boundaries.

[0062] Step S600 includes at least steps S610-S630: S610. Obtain the influence domain calculation and differential snapshot output data, perform parameter update and structure mapping closed loop preparation, and obtain parameter update and structure mapping closed loop input data.

[0063] Specifically, the influence domain calculation and differential snapshot output data are used as the only upstream input. The influence domain calculation and differential snapshot output data include a differential patch summary table, organization-level consistency snapshots, molecular-level consistency snapshots, trimming records, order adjustment items, and path addressing information. To ensure consistency with the preceding links, the parameter snapshot set, template reference path, and variable reference path generated in atom registration and attribute solidification are further retrieved, as well as the constraint graph and molecular reference list registered in molecular assembly and dual list trimming, and the organization mapping finalization, dependency graph finalization, and coverage strategy table and whitelist table solidified in organization orchestration and coverage strategy. A unified reading channel is established according to the reading order identifier and range field mapping. Specifically, firstly, based on the path addressing information, template reference path, and variable reference path, the differential patch master table is parsed and located one by one to generate a write-back location table. The write-back location table uses the primary key of the number and the reading order identifier as indexes to point to the atomic parameter entries to be updated and their corresponding molecular entries and organizational nodes. Then, each location unit in the write-back location table is region-trimmed using the range field mapping and pruning records to generate a range trimming list, which is used to limit the write-back to only operate on the controlled area. Subsequently, the overwrite strategy table and whitelist table are read, and the location units in the write-back location table are filtered for permissions: any location unit marked as a read-only entry in the whitelist table is registered to the read-only exclusion list and removed from the write-back sequence; any location unit involving overwrite is supplemented with an overwrite rollback reference and registered to the rollback reference list. Furthermore, the order adjustment items and read order identifiers are merged to generate a write-back sequence queue. The write-back sequence queue is organized in batches, and the entries within a batch are arranged according to the read order identifier and the overwrite priority order. To ensure the consistency of the comparison, the organizational layer consistency snapshot and the molecular layer consistency snapshot are used as the reference source to generate a snapshot comparison index table. The snapshot comparison index table is associated with the corresponding style attribute set and variable attribute set in the parameter snapshot set by the primary key of the number. After the above processing, the parameter update and structure mapping closed-loop input data is summarized. The parameter update and structure mapping closed-loop input data consists of a write-back positioning table, a range clipping list, a read-only exclusion list, a rollback reference list, a write-back sequence queue, and a snapshot comparison index table. Its source is explicitly recorded as the differential patch summary table, the organizational layer consistency snapshot, the molecular layer consistency snapshot, and the path addressing information to ensure the traceability of the data source and order relationship in subsequent processing.

[0064] S620. Compare the topic difference with the snapshot record from the parameter update and structure mapping closed-loop input data, perform parameter update and structure mapping closed-loop processing, and obtain intermediate data for parameter update and structure mapping closed-loop.

[0065] Specifically, using the write-back sequence queue as the main processing line, positioning units are retrieved sequentially in batches. Within each positioning unit, the corresponding records of the tissue-level consistency snapshot and the molecular-level consistency snapshot are first read according to the snapshot comparison index table. These records are then compared one by one with the current style attribute set and variable attribute set in the parameter snapshot set to verify whether the current status of the positioning unit is consistent with the snapshot record. When there is an inconsistency in order or level, the write-back order of the positioning unit is adjusted according to the order adjustment item, and the relative order of the remaining entries in the batch is updated synchronously. After completing the snapshot comparison, parameter updates are performed: based on the template reference path and variable reference path, the specific attribute entry is located at the atomic layer. The parameter difference item of the location unit in the differential patch table is written to the style attribute set and variable attribute set, and the writing action and source difference item number are registered as update execution records. If the location unit involves coverage difference items, the coverage strategy table is first read to determine the coverage order and scope of the coverer and the covered, and then the coverage scope is pruned according to the scope pruning list before being written to the coverage link. The coverage write is registered as a coverage write record. If the location unit conflicts with the whitelist table, the location unit is transferred to read-only bypass and the reason for bypass is registered. No write is performed. Subsequently, structural mapping is performed: using the finalized dependency graph as the propagation skeleton and the finalized organization mapping as the container constraint, the updated atomic parameter entries in this batch are mapped and updated to their respective molecular entries and organization nodes. For objects with linkage relationships, they are triggered one by one according to the propagation direction and order in the finalized dependency graph. During the triggering process, a range pruning list is referenced to limit the propagation boundary for each propagation step, and secondary writes generated by the same positioning unit on the propagation path are registered as propagation records. For nodes where the propagation path and coverage link intersect, the coverage strategy table is used as the priority basis, and coverage writes are performed first, followed by parameter reference updates, to ensure that the stacking relationship and display visibility of the final structural mapping are consistent with the previous organization arrangement. Furthermore, local geometric verification is generated at the molecular level for the parameter updates and structural mappings that occurred in this batch, and the alignment constraints, spacing constraints, and coverage constraints in the constraint graph are verified to ensure that they are still satisfied. If not, fine-tuning is performed within this batch according to the order adjustment items, and verification adjustment records are added. Through the above comparison, writing, propagation and verification, intermediate data of parameter update and structure mapping closed loop is formed. The intermediate data of parameter update and structure mapping closed loop includes update execution record, overwrite write record, propagation record, read-only bypass record, verification and adjustment record and batch status summary, and maintains a consistent mapping with the number primary key and read order identifier, so that subsequent stable mark writing and file registration can be directly referenced.

[0066] S630. The intermediate data of the parameter update and structure mapping closed loop are stably marked and registered, and the parameter update and structure mapping closed loop output data is generated.

[0067] Specifically, focusing on update execution records, overwrite write records, and propagation records, stability markers are first written at the atomic, molecular, and organizational levels: At the atomic level, updated style attribute sets and variable attribute sets are marked as the current stable version according to the primary key number, and their correspondence with the differential patch master table is recorded; at the molecular level, pose and stacking information are updated based on the review and adjustment records, and the visible and occluded segments associated with the molecular entry are written into the stability markers; at the organizational level, the hierarchical sequence number, overwrite link, and trigger chain of the organizational node are synchronously stabilized and registered according to the batch status summary, and the version order is written using the reading order identifier. Subsequently, the archive registration is performed: the three-layer data of this round of stability markers, the organizational level consistency snapshot, and the molecular level consistency snapshot are archived and merged to generate a replay record; the update execution records, overwrite write records, propagation records, read-only bypass records, and review and adjustment records are structured and stored in the database to generate an archive registration list; for entries referenced by the whitelist table and the overwrite strategy table, the strategy summary at that time is appended so that they can be located by strategy version during subsequent retrieval. Furthermore, to achieve a closed-loop cycle, the state after this round of archiving is used to generate a snapshot index increment, which is then merged with the entry index list and the reading order list to form a new snapshot baseline. Simultaneously, an update result list is generated, summarizing the parameter updates and structural mapping changes that occurred in this round at the organizational node and molecular entry levels. This list includes path addressing information and range field mapping, allowing subsequent rounds of influence domain calculation and differential snapshot direct reading. After the aforementioned stability marking and archive registration, closed-loop output data for parameter updates and structural mapping is output. This closed-loop output data includes the stability mark index, archive registration list, playback records, snapshot index increment, and update result list. The process registration explicitly marks the correspondence between this data and the differential patch summary table and consistency snapshot, ensuring consistent downstream reading order and pruning of regions. In summary, S610 to S630, under the premise of maintaining consistency with the differential patch summary table, the tissue-level consistency snapshot, the molecular-level consistency snapshot, and the path addressing information, complete the closed-loop processing of differential positioning, parameter writing, structure mapping, propagation verification, stability marking, and file registration, forming an incremental baseline and retrieval index that can be directly reused in subsequent rounds of influence domain calculation and differential snapshots, achieving uniformity of write-back order, pruning of coverage boundaries, and traceability of change records.

Claims

1. A method for constructing a modular prototype interface, characterized in that, include: Obtain style templates, variable tables, and master reference diagrams; perform baseline modeling, range labeling, consistency verification, and structured storage processing; and generate baseline modeling and range labeling output data. Obtain baseline modeling and range labeling output data, perform atomic registration, attribute solidification, parameter snapshot generation and index writing processing, and generate atomic registration and attribute solidification output data; Based on the output data of atom registration and attribute solidification, molecular assembly, double list trimming, constraint graph and molecular reference list generation are performed to generate molecular assembly and double list trimming output data; From the molecular assembly and dual-list trimming output data, we perform organizational orchestration, coverage strategy, dependency graph and whitelist generation processing to generate organizational orchestration and coverage strategy output data; Based on the output data of the organization and coverage strategy, the organization mapping finalization and molecular citation list are sequentially aligned according to the reading order identifier to establish an initial mapping table between organization nodes and molecular nodes. The triggering conditions and propagation boundaries in the linkage rule finalization are used as constraints to construct a set of triggering candidates. Then, the alignment constraints and spacing constraints between molecular nodes are checked within the local constraint terms to generate a local geometric relationship table. Starting from the triggering conditions of the linkage rule finalization, the propagation exploration is carried out along the edges of the dependency graph finalization to form a propagation hierarchy table and a coverage link table. Then, for objects with strong influence, the source entries and affected entries are traced according to the change trajectory mapping chain to form an entry-level differential unit and generate batch differential patch groups. Using the parameter snapshot set as the state source, the state of all atomic parameter entries in the affected entry set is collected according to the reading order identifier to generate organizational layer consistency snapshots and molecular layer consistency snapshots. The influence domain calculation and differential snapshot output data are generated. Based on the influence domain calculation and differential snapshot output data, parameter update and structure mapping closed-loop processing is performed to generate parameter update and structure mapping closed-loop output data.

2. The method according to claim 1, characterized in that, Style templates, variable tables, and master slide references include: A style template specifically includes the style name, style hierarchy, inheritable properties, and hierarchy order; The variable table specifically includes variable names, variable value ranges, default values, and controlled area identifiers; The master reference diagram specifically includes the coordinates of the page area division, the position of the reference anchor point, the hierarchical label of the reference anchor point, and the boundary marker for cross-level transfer.

3. The method according to claim 1, characterized in that, The process of generating baseline modeling and extent labeling output data includes: Obtain the style template, variable table and master reference diagram, perform file reading, item parsing and hierarchical expansion to form an initial item set, and establish candidate assignment relationships and range labeling placeholder information according to baseline modeling rules and range labeling rules to prepare for baseline modeling and range labeling, and obtain the input data for baseline modeling and range labeling. The binding relationships and unique numbers are extracted from the baseline modeling and range labeling input data. The binding relationship units are formed by traversing the style template entries and variable table entries one by one and locating the corresponding positions according to the initial mapping relationship. A unique number consisting of source identifier, hierarchy identifier and sequence identifier is generated. The baseline modeling and range labeling process is performed to obtain the intermediate data of baseline modeling and range labeling. The intermediate data for baseline modeling and range labeling are subjected to consistency verification and structured storage. Consistency verification is performed sequentially according to the unified structure of the entry layer, mapping layer, binding layer, numbering layer and range layer. A retrieval index is built with the entry as the main table and the mapping, binding, numbering and range as the supplementary tables to generate the output data for baseline modeling and range labeling.

4. The method according to claim 1, characterized in that, The process of generating atomic registration and attribute solidification output data includes: Obtain baseline modeling and range labeling output data, determine the traversal order according to the reading order list, read the item list one by one and locate the corresponding mapping relationship and binding relationship according to the item index list to form an atomic candidate set, generate a path parsing queue and attribute solidification rule set, perform atomic registration and attribute solidification initialization, and obtain atomic registration and attribute solidification input data; The template reference path and variable reference path are parsed from the input data of atomic registration and attribute solidification. The template reference path and variable reference path are generated one by one according to the reading order list, using the path parsing queue as the main processing line. The template entries of multi-level inheritance are expanded from top to bottom according to the hierarchy shown in the entry index list, and atomic registration and attribute solidification are performed to obtain intermediate data of atomic registration and attribute solidification. Parameter snapshots are generated and indexed for intermediate data of atomic registration and attribute solidification. Parameter snapshot entries are established by aggregating template attribute merging results and variable attribute values ​​according to the primary key number. Snapshot reading index table and snapshot binding index table are generated, and atomic registration and attribute solidification output data are generated.

5. The method according to claim 1, characterized in that, The process of generating molecular assembly and dual-list trimming output data includes: Obtain the output data of atom registration and attribute solidification, determine the reading order according to the snapshot reading index table, read the parameter snapshot set one by one and restore the assembly order of atoms in the same page area according to the snapshot binding index table, and aggregate the atom parameter snapshots into a molecular candidate set by using the range field as the grouping key, perform molecular assembly and double list trimming preparation, and obtain the molecular assembly and double list trimming input data. Layout adsorption and spacing verification are performed from the molecular assembly and dual list trimming input data. Assembly units in the molecular candidate set are retrieved one by one in the reading order. Alignment references that match the template reference path are searched on the assembly reference surface and attached. The spacing of the attached assembly units is verified according to the spacing scale to generate adjustment instructions. Molecular assembly and dual list trimming are performed to obtain intermediate data of molecular assembly and dual list trimming. Constraint graphs and molecular reference lists are generated from the intermediate data of molecular assembly and dual list trimming. The constraint graph is constructed with pose records as the node source and cover chain update records and spacing verification records as the relationship source. The molecular reference list is generated with the reference candidate assembly as the data source, and the output data of molecular assembly and dual list trimming are generated.

6. The method according to claim 1, characterized in that, The process of generating organizational orchestration and coverage strategy output data includes: Obtain molecular assembly and dual list trimming output data, merge molecular entries within the controlled area of ​​the page and module to form an organizational hierarchy draft, and combine the template reference identifier and variable reference identifier pointed to in the molecular reference list to establish a shared registration for entries with shared status to form a linkage rule register draft, prepare organizational arrangement and coverage strategy, and obtain organizational arrangement and coverage strategy input data; Organizational mapping and linkage rules are established from the input data of organizational arrangement and coverage strategy. The organizational layer mapping table is formed by checking the molecular entries corresponding to each organizational container identifier one by one with the draft organizational level as the main line. The linkage rule register is used as the basis to finalize the set of participating fields item by item to form the linkage rule finalization. Organizational arrangement and coverage strategy processing is performed to obtain intermediate data of organizational arrangement and coverage strategy. Dependency graphs and whitelists are generated for intermediate data of organization orchestration and coverage strategies. The coverage scope and coverage priority order in the organization layer mapping table are read and written into the coverage strategy table. Template references and variable references that can be shared and read but are not allowed to be written overridden are registered item by item and written into the whitelist table. Output data of organization orchestration and coverage strategies is generated.

7. The method according to claim 1, characterized in that, The process of generating closed-loop output data for parameter updates and structure mapping includes: Obtain the impact domain calculation and differential snapshot output data. Based on the path addressing information, template reference path and variable reference path, parse and locate each line of the differential patch master table to generate a write-back positioning table. Then, use range field mapping and record clipping to perform regional clipping on each positioning unit in the write-back positioning table to generate a range clipping list. Perform parameter update and structure mapping closed loop preparation to obtain parameter update and structure mapping closed loop input data. The topic difference and snapshot records are compared from the input data of parameter update and structure mapping closed loop. The positioning units are retrieved in batches according to the write-back sequence queue as the main processing line. The corresponding records of the tissue layer consistency snapshot and molecular layer consistency snapshot are read according to the snapshot comparison index table for parameter update. The updated atomic parameter entries are mapped to their respective molecular entries and tissue nodes using the dependency graph finalization as the propagation skeleton and the tissue mapping finalization as the container constraint. The parameter update and structure mapping closed loop processing is performed to obtain the intermediate data of parameter update and structure mapping closed loop. The intermediate data of parameter update and structure mapping closed loop are marked with stability tags and archived. At the atomic level, the updated style attribute set and variable attribute set are marked as the current stable version according to the primary key number. At the molecular level, the pose and stacking information are updated and written with stability tags. At the organization level, the hierarchical sequence number, coverage link and trigger chain of the organization node are synchronously stabilized and registered. The three layers of data marked with stability tags in this round are archived and merged with the consistency snapshot of the organization level and the consistency snapshot of the molecular level to generate a playback record, and generate the output data of parameter update and structure mapping closed loop.

8. The method according to claim 1, characterized in that, The tissue mapping finalization and molecular citation list are sequentially aligned to establish an initial mapping table between tissue nodes and molecular nodes, specifically including: The organization mapping finalization and molecular citation list are sequentially aligned to establish an initial mapping table between organization nodes and molecular nodes. The initial mapping table is grouped by range field mapping. The trigger candidate set is constructed using the trigger conditions and propagation boundaries in the linkage rule finalization as constraints. The alignment constraints and spacing constraints between molecular nodes are checked within the local constraint terms to generate a local geometric relationship table. Starting from the trigger conditions in the linkage rule finalization, propagation exploration is carried out along the edges of the dependency graph finalization to form a propagation hierarchy table and a coverage link table.

9. The method according to claim 1, characterized in that, For objects with strong impact, the source entries and affected entries are traced according to the change trajectory mapping chain to form entry-level differential units, and batch-based differential patch groups are generated, specifically including: For objects with strong impact, trace the source entries and affected entries according to the change trajectory mapping chain, compare the differences between the baseline and the current state to form entry-level differential units; group the entry-level differential units according to organizational nodes and molecular nodes to generate batch differential patch groups, and attach cross-node path records to the differential patch groups.

10. The method according to claim 1, characterized in that, Using the parameter snapshot set as the state source, and identifying them according to the reading order, the state of all atomic parameter entries within the affected entry set is collected to generate tissue-level consistency snapshots and molecular-level consistency snapshots, specifically including: Using the parameter snapshot set as the state source, the state of all atomic parameter entries in the affected entry set is collected according to the reading order. The collected content includes style attribute set, variable attribute set, path field, relationship field and range field. The collected state is summarized by organizational node and molecular node as dimensions to generate organizational layer consistency snapshot and molecular layer consistency snapshot.

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