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archon/PRPs/ai_docs/QUERY_PATTERNS.md
Wirasm 1b272ed2af docs: Update AI documentation to accurately reflect current codebase (#708)
* docs: Update AI documentation for accurate codebase reflection

- Replace obsolete POLLING_ARCHITECTURE.md with DATA_FETCHING_ARCHITECTURE.md
- Rewrite API_NAMING_CONVENTIONS.md with file references instead of code examples
- Condense ARCHITECTURE.md from 482 to 195 lines for clarity
- Update ETAG_IMPLEMENTATION.md to reflect actual implementation
- Update QUERY_PATTERNS.md to reflect completed Phase 5 (nanoid optimistic updates)
- Add PRPs/stories/ to .gitignore

All documentation now references actual files in codebase rather than
embedding potentially stale code examples.


* docs: Update CLAUDE.md and AGENTS.md with current patterns

- Update CLAUDE.md to reference documentation files instead of embedding code
- Replace Service Layer and Error Handling code examples with file references
- Add proper distinction between DATA_FETCHING_ARCHITECTURE and QUERY_PATTERNS docs
- Include ETag implementation reference
- Update environment variables section with .env.example reference


* docs: apply PR review improvements to AI documentation

- Fix punctuation, hyphenation, and grammar issues across all docs
- Add language tags to directory tree code blocks for proper markdown linting
- Clarify TanStack Query integration (not replacing polling, but integrating it)
- Add Cache-Control header documentation and browser vs non-browser fetch behavior
- Reference actual implementation files for polling intervals instead of hardcoding values
- Improve type-safety phrasing and remove line numbers from file references
- Clarify Phase 1 removed manual frontend ETag cache (backend ETags remain)
2025-09-19 13:29:46 +03:00

7.1 KiB

TanStack Query Patterns Guide

This guide documents the standardized patterns for using TanStack Query v5 in the Archon frontend.

Core Principles

  1. Feature Ownership: Each feature owns its query keys in {feature}/hooks/use{Feature}Queries.ts
  2. Consistent Patterns: Always use shared patterns from shared/queryPatterns.ts
  3. No Hardcoded Values: Never hardcode stale times or disabled keys
  4. Mirror Backend API: Query keys should exactly match backend API structure

Query Key Factory Pattern

Every feature MUST implement a query key factory following this pattern:

// features/{feature}/hooks/use{Feature}Queries.ts
export const featureKeys = {
  all: ["feature"] as const,                                    // Base key for the domain
  lists: () => [...featureKeys.all, "list"] as const,          // For list endpoints
  detail: (id: string) => [...featureKeys.all, "detail", id] as const, // For single item
  // Add more as needed following backend routes
};

Examples from Codebase

// Projects - Simple hierarchy
export const projectKeys = {
  all: ["projects"] as const,
  lists: () => [...projectKeys.all, "list"] as const,
  detail: (id: string) => [...projectKeys.all, "detail", id] as const,
  features: (id: string) => [...projectKeys.all, id, "features"] as const,
};

// Tasks - Dual nature (global and project-scoped)
export const taskKeys = {
  all: ["tasks"] as const,
  lists: () => [...taskKeys.all, "list"] as const,              // /api/tasks
  detail: (id: string) => [...taskKeys.all, "detail", id] as const,
  byProject: (projectId: string) => ["projects", projectId, "tasks"] as const, // /api/projects/{id}/tasks
  counts: () => [...taskKeys.all, "counts"] as const,
};

Shared Patterns Usage

Import Required Patterns

import { DISABLED_QUERY_KEY, STALE_TIMES } from "@/features/shared/queryPatterns";

Disabled Queries

Always use DISABLED_QUERY_KEY when a query should not execute:

// ✅ CORRECT
queryKey: projectId ? projectKeys.detail(projectId) : DISABLED_QUERY_KEY,

// ❌ WRONG - Don't create custom disabled keys
queryKey: projectId ? projectKeys.detail(projectId) : ["projects-undefined"],

Stale Times

Always use STALE_TIMES constants for cache configuration:

// ✅ CORRECT
staleTime: STALE_TIMES.normal,        // 30 seconds
staleTime: STALE_TIMES.frequent,      // 5 seconds
staleTime: STALE_TIMES.instant,       // 0 - always fresh

// ❌ WRONG - Don't hardcode times
staleTime: 30000,
staleTime: 0,

STALE_TIMES Reference

  • instant: 0 - Always fresh (real-time data like active progress)
  • realtime: 3_000 - 3 seconds (near real-time updates)
  • frequent: 5_000 - 5 seconds (frequently changing data)
  • normal: 30_000 - 30 seconds (standard cache time)
  • rare: 300_000 - 5 minutes (rarely changing config)
  • static: Infinity - Never stale (settings, auth)

Complete Hook Pattern

export function useFeatureDetail(id: string | undefined) {
  return useQuery({
    queryKey: id ? featureKeys.detail(id) : DISABLED_QUERY_KEY,
    queryFn: () => id
      ? featureService.getFeatureById(id)
      : Promise.reject("No ID provided"),
    enabled: !!id,
    staleTime: STALE_TIMES.normal,
  });
}

Mutations with Optimistic Updates

import { createOptimisticEntity, replaceOptimisticEntity } from "@/features/shared/optimistic";

export function useCreateFeature() {
  const queryClient = useQueryClient();

  return useMutation({
    mutationFn: (data: CreateFeatureRequest) => featureService.create(data),

    onMutate: async (newData) => {
      // Cancel in-flight queries
      await queryClient.cancelQueries({ queryKey: featureKeys.lists() });

      // Snapshot for rollback
      const previous = queryClient.getQueryData(featureKeys.lists());

      // Optimistic update with nanoid for stable IDs
      const optimisticEntity = createOptimisticEntity(newData);
      queryClient.setQueryData(featureKeys.lists(), (old: Feature[] = []) =>
        [...old, optimisticEntity]
      );

      return { previous, localId: optimisticEntity._localId };
    },

    onError: (err, variables, context) => {
      // Rollback on error
      if (context?.previous) {
        queryClient.setQueryData(featureKeys.lists(), context.previous);
      }
    },

    onSuccess: (data, variables, context) => {
      // Replace optimistic with real data
      queryClient.setQueryData(featureKeys.lists(), (old: Feature[] = []) =>
        replaceOptimisticEntity(old, context?.localId, data)
      );
    },
  });
}

Testing Query Hooks

Always mock both services and shared patterns:

// Mock services
vi.mock("../../services", () => ({
  featureService: {
    getList: vi.fn(),
    getById: vi.fn(),
  },
}));

// Mock shared patterns with ALL values
vi.mock("../../../shared/queryPatterns", () => ({
  DISABLED_QUERY_KEY: ["disabled"] as const,
  STALE_TIMES: {
    instant: 0,
    realtime: 3_000,
    frequent: 5_000,
    normal: 30_000,
    rare: 300_000,
    static: Infinity,
  },
}));

Vertical Slice Architecture

Each feature is self-contained:

src/features/projects/
├── components/         # UI components
├── hooks/
│   └── useProjectQueries.ts  # Query hooks & keys
├── services/
│   └── projectService.ts     # API calls
└── types/
    └── index.ts              # TypeScript types

Sub-features (like tasks under projects) follow the same structure:

src/features/projects/tasks/
├── components/
├── hooks/
│   └── useTaskQueries.ts    # Own query keys!
├── services/
└── types/

Migration Checklist

When refactoring to these patterns:

  • Create query key factory in hooks/use{Feature}Queries.ts
  • Import DISABLED_QUERY_KEY and STALE_TIMES from shared
  • Replace all hardcoded disabled keys with DISABLED_QUERY_KEY
  • Replace all hardcoded stale times with STALE_TIMES constants
  • Update all queryKey references to use factory
  • Update all invalidateQueries to use factory
  • Update all setQueryData to use factory
  • Add comprehensive tests for query keys
  • Remove any backward compatibility code

Common Pitfalls to Avoid

  1. Don't create centralized query keys - Each feature owns its keys
  2. Don't hardcode values - Use shared constants
  3. Don't mix concerns - Tasks shouldn't import projectKeys
  4. Don't skip mocking in tests - Mock both services and patterns
  5. Don't use inconsistent patterns - Follow the established conventions

Completed Improvements (Phases 1-5)

  • Phase 1: Removed manual frontend ETag cache layer (backend ETags remain; browser-managed)
  • Phase 2: Standardized query keys with factories
  • Phase 3: Implemented UUID-based optimistic updates using nanoid
  • Phase 4: Configured request deduplication
  • Phase 5: Removed manual cache invalidations

Future Considerations

  • Add Server-Sent Events for real-time updates
  • Consider WebSocket fallback for critical updates
  • Evaluate Zustand for complex client state management