constant.ts

Overview

The constant.ts file defines and exports a static graph data structure representing entities and their relationships, primarily focused on the company "厦门象屿" (Xiamen Xiangyu), related events, persons, and geographic locations, as well as their interconnections over specific years. The file models this information in the form of nodes and edges suitable for graph-based visualization or analysis.

This graph data can be used in applications involving knowledge graphs, data visualization, entity relationship modeling, or timeline-based analysis of organizational data.

Detailed Explanation

Exported Object: graphData

• Type: Object

• Purpose: Represents the entire graph data structure consisting of nodes (entities) and edges (relationships).

• Structure:

  {
    directed: boolean,
    multigraph: boolean,
    graph: object,
    nodes: Array<Node>,
    edges: Array<Edge>,
    combos: Array<any>
  }
  

• Properties:

  • directed: false — The graph is undirected, meaning edges do not have a direction.

  • multigraph: false — Multiple edges between the same two nodes are not allowed.

  • graph: {} — An empty object reserved for additional graph-level metadata (not used here).

  • nodes: Array of node objects representing entities.

  • edges: Array of edge objects representing relationships between entities.

  • combos: Empty array, presumably for grouping nodes (not used here).

Nodes

Each node represents an entity such as an organization, event, person, or geographic location.

• Properties of a node:

  • id (string): Unique identifier of the node.

  • description (string): Textual description of the node, often in Chinese with some English.

  • source_id (string): Source identifier indicating the origin or grouping of the node.

  • Optional:

    • entity_type (string): Specific type of entity, e.g., "PERSON", "EVENT", "GEO" (geographic location). The type property is stripped out by .map(({ type, ...x }) => ({ ...x })) and not present in the final nodes, so entity_type is used as a secondary type indicator.

• Example Node:

  {
    id: '"厦门象屿"',
    description: '"厦门象屿是一家公司，其营业收入和市场占有率在2018年至2022年间有所变化。"',
    source_id: '0'
  }
  

• Usage:
  Nodes can be used to represent entities in visualization or querying contexts, providing both an identifier and a descriptive label.

Edges

Edges represent relationships between the nodes.

• Properties of an edge:

  • source (string): The id of the source node.

  • target (string): The id of the target node.

  • weight (number): Numeric weight indicating strength or importance of the relationship (here fixed at 2.0).

  • description (string): Textual explanation of the relationship.

  • source_id (string): Indicates the source or group of the edge (corresponding to the source node's group).

• Example Edge:

  {
    source: '"厦门象屿"',
    target: '"2018"',
    weight: 2.0,
    description: '"厦门象屿在2018年的营业收入和市场占有率被记录。"'
  }
  

• Usage:
  Edges define how entities relate to each other, such as an organization linked to events or persons linked to geographic locations.

Important Implementation Details

• The original node objects contained a type property, which is removed by mapping over the array:

  .map(({ type, ...x }) => ({ ...x }))
  

  This suggests that the type field was redundant or conflicting with entity_type and therefore stripped to simplify node objects.

• Nodes and edges are constructed manually with static, hardcoded data representing real-world entities and their relationships.

• The graph is undirected (directed: false), implying that relationships are bi-directional or the direction is not significant for this use case.

• There is no dynamic logic or functions in this file; it purely serves as a constant data provider.

Interaction with Other Parts of the System

• This file exports a constant object graphData which is intended to be imported by other modules that need to:

  • Render the graph visually (e.g., force-directed graph visualization libraries).

  • Perform graph analysis or traversal.

  • Query entity relationships for UI displays or reports.

  • Serve as a knowledge base for the company "厦门象屿" and related entities.

• Given the naming (constant.ts), it is likely part of a larger application that manages or visualizes company data, financial timelines, or entity relationships.

• Other system components may use graphData.nodes and graphData.edges to build interactive graphs, timelines, or entity-detail views.

Usage Example

Below is a simple illustration of how another module might use graphData:

import { graphData } from './constant';

// Example: Get all entities related to "厦门象屿"
const xmyId = '"厦门象屿"';
const relatedEdges = graphData.edges.filter(edge => edge.source === xmyId || edge.target === xmyId);
const relatedNodeIds = new Set(relatedEdges.map(edge => (edge.source === xmyId ? edge.target : edge.source)));
const relatedNodes = graphData.nodes.filter(node => relatedNodeIds.has(node.id));

console.log('Entities related to 厦门象屿:', relatedNodes);

Visual Diagram

The following Mermaid class diagram visually summarizes the structure of the graphData object, showing the main components (nodes, edges, combos) and their key properties.

classDiagram
    class GraphData {
        +directed: boolean
        +multigraph: boolean
        +graph: object
        +nodes: Node[]
        +edges: Edge[]
        +combos: Combo[]
    }

    class Node {
        +id: string
        +description: string
        +source_id: string
        +entity_type?: string
    }

    class Edge {
        +source: string
        +target: string
        +weight: number
        +description: string
        +source_id: string
    }

    class Combo {
        %% Empty in this file
    }

    GraphData "1" *-- "many" Node : includes
    GraphData "1" *-- "many" Edge : includes
    GraphData "1" *-- "many" Combo : includes

Summary

• constant.ts exports a static graph data object modeling entities related to the company "厦门象屿" and their relationships over time and geography.

• The graph is undirected and non-multigraph, consisting of nodes and edges with descriptive metadata.

• Nodes represent organizations, persons, events, and geographic locations.

• Edges represent relationships such as company events over years, legal representatives, and office locations.

• The file is a data provider used by other modules for visualization, analysis, or reporting.

• No dynamic logic or functions exist; the focus is on consistent, structured entity relationship data.

This modular and clear data representation facilitates easy integration with graph visualization libraries or analytical tools needing structured knowledge about this company and its context.