univer-clipsheet-core

univer-clipsheet-core is the core implementation of the Univer Clipsheet functionality. This package is organized into separate modules for better scalability and maintainability, including workflow, scraper, ui, and table. Below, we introduce the key usage of each module and its components.

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Workflow

WorkflowService

• WorkflowService.runWorkflow() Executes a workflow and returns the response.

• WorkflowService.onWorkflowDone() This lifecycle method is invoked once a workflow has completed execution.

Scraper

ScraperService

• ScraperService.runScraper() Runs a scraper and returns the extracted data.

• ScraperService.stopScraper() Stops the execution of a currently running scraper.

DrillDownService

• DrillDownService.runDrillDown() Executes a drill-down operation to capture nested or detailed data.

• DrillDownService.stopDrillDown() Stops a currently running drill-down operation.

UI

The following services handle communication and data exchange with the user interface:

• WorkflowPanelViewService Manages the data and interactions within the workflow panel.

• PopupViewService Handles the data exchange and user interactions for the popup view.

• ClientViewService Manages the client-facing UI, providing services for user interaction.

• SidePanelViewService Provides functionality for the side panel view and exchanges data with the UI.

Table

The Table module is responsible for managing tabular data structures used to store and display the results of web scraping. This package includes the following functions:

• TableService.addTable() Adds a new table to the system for managing scraped data.

• TableService.deleteTable() Deletes an existing table from the system.

DataSource

Each of the core service classes — TableService, ScraperService, and WorkflowService — has a dataSource property. The dataSource is an abstract class that defines the methods and structure for interacting with the actual data.

The key aspect of the dataSource design is its flexibility:

• The dataSource can be customized by passing an external implementation to each service.
• This allows developers to implement their own data handling logic, such as saving data to a database, processing data before storing it, or integrating with third-party data systems.

Example Usage of DataSource

Each service class provides a default dataSource, but you can define and pass your own custom implementation when creating or configuring the service.

// Example of creating a custom DataSource
class CustomDataSource extends ITableDataSource {
    constructor() {
        super();
    }

  // Implement required methods for data operations
    add(data) {
    // Custom logic for adding data
    }

    getList() {
    // Custom logic for retrieving data
    }

    delete(id) {
    // Custom logic for deleting data
    }
}

new Injector([
    [ITableDataSource, { useClass: CustomDataSource }],
]);

By using the dataSource abstraction, you gain the flexibility to tailor how data is handled and ensure that your scraping and workflow processes integrate smoothly with the rest of your system.

Contact

Have questions or feedback? Feel free to open an issue on GitHub or reach out to us via email: developer@univer.ai.