useProjects hook

The useProjects hook provides a comprehensive interface for fetching and managing project data in the advanced to-do application, with an emphasis on calculating real-time task statistics. It leverages the Ontology SDK (OSDK) to interact with backend services in a type-safe manner, offering a clean interface for components to access project data along with aggregated task metrics.

This hook implements runtime-derived properties to efficiently calculate task statistics for each project, such as the total number of tasks and their distribution across different status categories (completed, in progress, not started). By using SWR (stale-while-revalidate) for data fetching, it ensures optimized network requests while maintaining up-to-date data with configurable caching strategies.

View the useProjects reference code.

Key functions

• Server-side aggregation: Uses the runtime-derived properties pattern to perform server side aggregations, minimizing data transfer.
• Type safety: Ensures type safety throughout with TypeScript interfaces and OSDK type utilities.
• Task status constants: Uses constant objects for task statuses to prevent magic strings and improve code maintenance.
• Error handling: Implements robust error handling with try/catch and configurable retry mechanisms.
• Performance optimization: Configures SWR with custom options to optimize network requests and caching.
• Clean return interface: Provides a well-structured return object that components can easily consume.
• Component-friendly data: Transforms data into a format that is ready for component consumption without additional processing.

useProjects structure

Interface definition

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export type IProject = Osdk.Instance<AdvanceTodoProject, never, PropertyKeys<AdvanceTodoProject>> & {
  numberOfTasks: number,
  numberOfCompletedTasks: number,
  numberOfInProgressTasks: number,
  numberOfNotStartedTasks: number,
}

This interface combines the base project type from the SDK with additional properties for task statistics:

1. Uses Osdk.Instance to get the base type for project objects
2. Adds strongly-typed number properties for task statistics
3. Creates a unified type that components can use without worrying about the underlying implementation

Data fetching

The useProjects hook uses SWR's data fetching capabilities with a custom fetcher function that does the following:

1. Uses runtime-derived properties to fetch projects with task statistics in a single request
2. Executes complex filtering and aggregation operations server-side
3. Maps the results to the expected interface format
4. Handles errors gracefully with try/catch

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const fetcher = useCallback(async () => {
  try {
    const projectsPage = await client(AdvanceTodoProject)
      .withProperties({
        // Runtime-derived property definitions for task counts
      })
      .fetchPage();
    
    const projects: IProject[] = projectsPage.data.map((project: ProjectWithRDP) => {
      return {
        ...project,
        numberOfTasks: project.numberOfTasks,
        numberOfCompletedTasks: project.numberOfCompletedTasks,
        numberOfInProgressTasks: project.numberOfInProgressTasks,
        numberOfNotStartedTasks: project.numberOfNotStartedTasks,
      };
    });
    
    return projects;
  } catch (error) {
    console.error("Error fetching projects:", error);
    return [];
  }
}, [client]);

SWR configuration

The hook configures SWR with custom options to optimize performance:

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const { data, isLoading, isValidating, error } = useSWR<IProject[]>(
  "projects",
  fetcher,
  { 
    revalidateOnFocus: false,
    dedupingInterval: 10_000, // Avoid refetching within 10 seconds
    errorRetryCount: 3        // Retry failed requests up to 3 times
  }
);

As configured in the example above, these settings do the following:

• revalidateOnFocus: Disables automatic revalidation when the window regains focus.
• dedupingInterval: Implements a 10-second deduping interval to prevent redundant requests.
• errorRetryCount: Configures error retry behavior for better resilience.

Return value

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{
  projects: data ?? [],        // Array of projects with task statistics
  isLoading: boolean,          // True during initial data loading
  isValidating: boolean,       // True during background revalidation
  isError: Error | undefined,  // Error object if the request failed
}

This clean interface gives components all the information they need to handle various states and render the appropriate UI.

Implementation

Runtime-derived properties

Runtime-derived properties are a powerful pattern that allows for computing and fetching only the data needed at runtime, rather than retrieving entire objects and computing values client-side.

In this hook, runtime-derived properties are used to calculate task statistics directly on the server:

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.withProperties({
  "numberOfTasks": (baseObjectSet) =>
    baseObjectSet.pivotTo("codingTasks").aggregate("$count").add(
    baseObjectSet.pivotTo("learningTasks").aggregate("$count")),
  "numberOfCompletedTasks": (baseObjectSet) =>
    baseObjectSet.pivotTo("codingTasks").where({
      "status": { $eq: TASK_STATUS.COMPLETED },
    }).aggregate("$count").add(baseObjectSet.pivotTo("learningTasks").where({
      "status": { $eq: TASK_STATUS.COMPLETED },
    }).aggregate("$count")),
  // Additional properties...
})

This implementation uses several key OSDK patterns:

• pivotTo: Navigates from projects to their associated tasks

  • Purpose: Traverses relationships between projects and their tasks
  • Benefits: Enables joining related data without complex relationship management

• where: Applies filters to select tasks with specific statuses

  • Purpose: Filters collections based on property conditions
  • Benefits: Reduces data transfer by filtering server-side

• aggregate: Computes counts on the filtered sets

  • Purpose: Performs server-side data aggregation
  • Benefits: Minimizes data transfer by returning only aggregated results

• Mathematical operations: Uses add to combine counts from different task types

  • Purpose: Performs math operations between runtime-derived property expressions
  • Benefits: Enables complex calculations without multiple queries

Benefits

• Performance optimization: Counting happens server-side, reducing data transfer
• Reduced client-side computation: Client receives only final counts
• Single request pattern: All statistics are fetched in one request
• Declarative data requirements: Code is self-documenting

Constants for status enumerations

The useProjects hook defines constants for task statuses to avoid magic strings:

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const TASK_STATUS = {
  COMPLETED: "COMPLETED",
  IN_PROGRESS: "IN PROGRESS",
  NOT_STARTED: "NOT STARTED"
} as const;

This pattern does the following:

• Creates a strongly-typed constant object with status values
• Improves code readability by providing meaningful variable names
• Centralizes status definitions for consistent usage across the codebase
• Prevents typos and inconsistencies in status string values

External packages

The following external packages can be used with the useProjects hook.

@advanced-to-do-application/sdk

Purpose: Application-specific SDK with predefined data types Benefits:

• Contains the data model for projects (AdvanceTodoProject)
• Provides typed access to project properties and relationships
• Enables consistent type enforcement across the application
• Simplifies interaction with the application's data model

@osdk/client & @osdk/react

Purpose: Ontology SDK client for interacting with a backend data service Benefits:

• Provides type-safe interfaces for data models
• Enables structured data queries with complex filtering
• Supports the runtime-derived property pattern for server-side computations
• Offers utilities for type manipulation through PropertyKeys and Osdk.Instance
• Exposes hooks like useOsdkClient for accessing the client instance

useSWR

Purpose: Data fetching, caching, and state management Benefits:

• Provides an elegant way to fetch and cache project data
• Handles loading and error states automatically
• Offers built-in revalidation strategies with configurable options
• Reduces network requests through intelligent caching
• Simplifies data fetching with automatic error handling

Usage example

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import React from 'react';
import useProjects from '../dataServices/useProjects';
import { ProjectCard } from '../components/ProjectCard';

const ProjectsPage: React.FC = () => {
  const { projects, isLoading, isError } = useProjects();
  
  if (isLoading) return <div>Loading projects...</div>;
  if (isError) return <div>Error loading projects: {isError.message}</div>;
  
  return (
    <div className="projects-container">
      <h1>Projects ({projects.length})</h1>
      
      {projects.length === 0 ? (
        <div className="empty-state">No projects found</div>
      ) : (
        <div className="projects-grid">
          {projects.map(project => (
            <ProjectCard 
              key={project.$primaryKey} 
              project={project}
            />
          ))}
        </div>
      )}
    </div>
  );
};

// ProjectCard component using the data
const ProjectCard: React.FC<{ project: IProject }> = ({ project }) => {
    
  return (
    <div className="project-card">
      <h3>{project.name}</h3>
      <div className="progress-bar">
        <div 
          className="progress-fill" 
        />
      </div>
      <div className="task-stats">
        <div>Total Tasks: {project.numberOfTasks}</div>
        <div>Completed: {project.numberOfCompletedTasks}</div>
        <div>In Progress: {project.numberOfInProgressTasks}</div>
        <div>Not Started: {project.numberOfNotStartedTasks}</div>
      </div>
    </div>
  );
};

export default ProjectsPage;

Edge cases and limitations

Consider the following scenarios and limitations when using the useProjects hook:

• Empty results handling: The implementation handles empty result sets gracefully, returning in an empty array rather than throwing an error.
• Error recovery: The hook implements basic error retry through SWR's errorRetryCount, but complex failure scenarios might require additional handling.
• Pagination limitations: The current implementation fetches all projects at once, which could be problematic with a large number of projects. Consider implementing pagination with fetchPage options for large datasets.
• Task type dependency: The hook specifically looks for "codingTasks" and "learningTasks" relationships. If new task types are added to the system, the runtime-derived property queries will need to be updated.
• Polling for updates: The hook does not implement polling for updates. For applications needing real-time updates, consider adding a polling mechanism or WebSocket integration.
• Task status enumeration coupling: The hook is tightly coupled to specific task status values. If the backend changes these values, the frontend will need to be updated accordingly.
• Mathematically derived properties: While numberOfTasks is calculated by adding counts from different task types, it could alternatively be pre-computed on the backend. Consider evaluating performance trade-offs for different approaches.

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flowchart TD
    A[Component renders] --> B[useProjects hook called]
    B --> C[SWR checks cache]
    C -->|Cache hit| D[Return cached projects]
    C -->|Cache miss| E[Call fetcher function]
    E --> F[Fetch projects with runtime-derived properties]
    F --> G[Transform data]
    G --> H[Return projects]
    H --> I[Component renders projects]
    
    subgraph "Runtime-Derived Properties Processing"
        F1[Fetch base projects] --> F2[Compute task counts]
        F2 --> F3[Filter by status]
        F3 --> F4[Aggregate counts]
    end