From b955fbf4107b875e423686e872c1d057910df2e1 Mon Sep 17 00:00:00 2001 From: Wirasm <152263317+Wirasm@users.noreply.github.com> Date: Thu, 4 Sep 2025 21:20:39 +0300 Subject: [PATCH] Delete report.md --- report.md | 297 ------------------------------------------------------ 1 file changed, 297 deletions(-) delete mode 100644 report.md diff --git a/report.md b/report.md deleted file mode 100644 index e62fd37e..00000000 --- a/report.md +++ /dev/null @@ -1,297 +0,0 @@ -# Archon Data Fetching Architecture Analysis - -## Executive Summary - -After conducting a deep analysis of Archon's current data fetching implementation, I've found a **mixed architecture** where some components have been refactored to use TanStack Query while others still use traditional polling. The backend has a sophisticated HTTP polling system with ETag optimization. This report analyzes whether continuing with TanStack Query is the right path forward. - -**Key Findings:** -- ✅ **TanStack Query is the right choice** for most use cases -- ✅ Backend HTTP polling with ETags is well-architected and performant -- ⚠️ **Inconsistent implementation** - mixed patterns causing confusion -- ❌ WebSocket would add complexity without significant benefits for current use cases - -## Current Architecture Analysis - -### Backend: HTTP Polling with ETag Optimization - -The backend implements a sophisticated polling system: - -**Progress API (`/api/progress/{operation_id}`):** -```python -# ETag support for 70% bandwidth reduction via 304 Not Modified -current_etag = generate_etag(etag_data) -if check_etag(if_none_match, current_etag): - response.status_code = http_status.HTTP_304_NOT_MODIFIED - return None - -# Smart polling hints -if operation.get("status") == "running": - response.headers["X-Poll-Interval"] = "1000" # Poll every 1s -else: - response.headers["X-Poll-Interval"] = "0" # Stop polling -``` - -**ProgressTracker (In-Memory State):** -- Thread-safe class-level storage: `_progress_states: dict[str, dict[str, Any]]` -- Prevents progress regression: Never allows backwards progress updates -- Automatic cleanup and duration calculation -- Rich status tracking with logs and metadata - -**ETag Implementation:** -- MD5 hash of stable JSON data (excluding timestamps) -- 304 Not Modified responses when data unchanged -- ~70% bandwidth reduction in practice - -### Frontend: Mixed Implementation Patterns - -#### ✅ **TanStack Query Implementation** (New Components) - -**Query Key Factories:** -```typescript -export const projectKeys = { - all: ['projects'] as const, - lists: () => [...projectKeys.all, 'list'] as const, - detail: (id: string) => [...projectKeys.details(), id] as const, - tasks: (projectId: string) => [...projectKeys.detail(projectId), 'tasks'] as const, -}; -``` - -**Optimistic Updates:** -```typescript -onMutate: async ({ taskId, updates }) => { - await queryClient.cancelQueries({ queryKey: projectKeys.tasks(projectId) }); - const previousTasks = queryClient.getQueryData(projectKeys.tasks(projectId)); - - queryClient.setQueryData(projectKeys.tasks(projectId), (old: any[]) => { - return old.map((task: any) => - task.id === taskId ? { ...task, ...updates } : task - ); - }); - - return { previousTasks }; -}, -``` - -**Progress Polling with Smart Completion:** -```typescript -export function useCrawlProgressPolling(progressId: string | null) { - const [isComplete, setIsComplete] = useState(false); - - const query = useQuery({ - queryKey: crawlKeys.progress(progressId!), - queryFn: async () => { - const response = await fetch(`/api/progress/${progressId}`); - return response.json(); - }, - enabled: !!progressId && !isComplete, - refetchInterval: 1000, // 1 second polling - retry: false, - staleTime: 0, - }); - - // Auto-stop polling when complete - useEffect(() => { - const status = query.data?.status; - if (['completed', 'failed', 'error', 'cancelled'].includes(status)) { - setIsComplete(true); - } - }, [query.data?.status]); - - return { ...query, isComplete }; -} -``` - -#### ❌ **Legacy Implementation** (KnowledgeBasePage) - -Still uses manual useState with custom polling: -```typescript -const [knowledgeItems, setKnowledgeItems] = useState([]); -const [loading, setLoading] = useState(true); -const [progressItems, setProgressItems] = useState([]); - -// Manual API calls -const loadKnowledgeItems = async () => { - try { - setLoading(true); - const response = await knowledgeBaseService.getKnowledgeItems(); - setKnowledgeItems(response.items); - } catch (error) { - // Manual error handling - } finally { - setLoading(false); - } -}; -``` - -#### ⚠️ **Remaining Traditional Hooks** - -`useMigrationStatus.ts` - Uses setInterval polling: -```typescript -useEffect(() => { - const checkMigrationStatus = async () => { - const response = await fetch('/api/health'); - // Manual state updates - }; - - const interval = setInterval(checkMigrationStatus, 30000); - return () => clearInterval(interval); -}, []); -``` - -## TanStack Query vs WebSocket Analysis - -### TanStack Query Advantages ✅ - -1. **Perfect for Archon's Use Cases:** - - CRUD operations on projects, tasks, knowledge items - - Progress polling with natural start/stop lifecycle - - Background refetching for stale data - - Optimistic updates for immediate UI feedback - -2. **Built-in Features:** - - Automatic background refetching - - Request deduplication - - Error retry with exponential backoff - - Cache invalidation strategies - - Loading and error states - - Optimistic updates with rollback - -3. **Performance Benefits:** - - Client-side caching reduces server load - - ETags work perfectly with query invalidation - - Smart refetch intervals (active/background) - - Automatic garbage collection - -4. **Developer Experience:** - - Declarative data dependencies - - Less boilerplate than manual useState - - Excellent DevTools for debugging - - Type-safe with TypeScript - -### WebSocket Analysis ❌ - -**Current Use Cases Don't Need Real-time:** -- Progress updates: 1-2 second delay acceptable -- Project/task updates: Not truly collaborative -- Knowledge base changes: Batch-oriented operations - -**WebSocket Downsides:** -- Connection management complexity -- Reconnection logic needed -- Scaling challenges (sticky sessions) -- No HTTP caching benefits -- Additional security considerations -- Browser connection limits (6 per domain) - -**When WebSockets Make Sense:** -- Real-time collaboration (multiple users editing same document) -- Live chat/notifications -- Live data feeds (stock prices, sports scores) -- Gaming applications - -### Performance Comparison - -| Metric | HTTP Polling + TanStack | WebSocket | -|--------|-------------------------|-----------| -| Initial Connection | HTTP request (~10-50ms) | WebSocket handshake (~100-200ms) | -| Update Latency | 500-2000ms (configurable) | ~10-100ms | -| Bandwidth (unchanged data) | ~100 bytes (304 response) | ~50 bytes (heartbeat) | -| Bandwidth (changed data) | Full payload + headers | Full payload | -| Server Memory | Stateless (per request) | Connection state per client | -| Horizontal Scaling | Easy (stateless) | Complex (sticky sessions) | -| Browser Limits | ~6 concurrent per domain | ~255 concurrent total | -| Error Recovery | Automatic retry | Manual reconnection logic | - -## Current Issues & Recommendations - -### 🔴 **Critical Issues** - -1. **Inconsistent Patterns:** Mix of TanStack Query, manual useState, and setInterval polling -2. **KnowledgeBasePage Not Migrated:** Still using 795 lines of manual state management -3. **Prop Drilling:** Components receiving 5+ callback props instead of using mutations - -### 🟡 **Performance Issues** - -1. **Multiple Polling Intervals:** Different components polling at different rates -2. **No Request Deduplication:** Manual implementations don't dedupe requests -3. **Cache Misses:** Manual state doesn't benefit from cross-component caching - -### ✅ **Recommended Solution: Complete TanStack Query Migration** - -#### Phase 1: Complete Current Migration -```typescript -// Migrate KnowledgeBasePage to use: -const { data: knowledgeItems, isLoading, error } = useKnowledgeItems(); -const { data: progressItems, addProgressItem, removeProgressItem } = useCrawlProgressManager(); -const deleteMutation = useDeleteKnowledgeItem(); -``` - -#### Phase 2: Optimize Query Configuration -```typescript -// Global query client optimization -const queryClient = new QueryClient({ - defaultOptions: { - queries: { - staleTime: 30_000, // 30s for most data - gcTime: 5 * 60_000, // 5min cache retention - retry: (failureCount, error) => { - // Smart retry logic - if (error.status === 404) return false; - return failureCount < 3; - }, - }, - }, -}); -``` - -#### Phase 3: Advanced Patterns -```typescript -// Progress polling with exponential backoff -const useSmartProgressPolling = (progressId: string) => { - const [pollInterval, setPollInterval] = useState(1000); - - return useQuery({ - queryKey: ['progress', progressId], - queryFn: () => fetchProgress(progressId), - refetchInterval: (data) => { - if (data?.status === 'completed') return false; - - // Exponential backoff for long-running operations - const runtime = Date.now() - data?.start_time; - if (runtime > 60_000) return 5000; // 5s after 1 minute - if (runtime > 300_000) return 10_000; // 10s after 5 minutes - return 1000; // 1s for first minute - }, - }); -}; -``` - -### 🎯 **Migration Strategy** - -1. **Keep Backend As-Is:** HTTP polling + ETags is working well -2. **Complete TanStack Migration:** Migrate remaining components -3. **Standardize Query Keys:** Consistent factory pattern -4. **Optimize Poll Intervals:** Smart intervals based on data type -5. **Add Error Boundaries:** Better error handling at app level - -### 🚀 **Expected Benefits** - -- **50% Less Component Code:** Remove manual useState boilerplate -- **Better UX:** Optimistic updates, background refetching, error retry -- **Improved Performance:** Request deduplication, smart caching -- **Easier Debugging:** TanStack DevTools visibility -- **Type Safety:** Better TypeScript integration - -## Conclusion - -**✅ Continue with TanStack Query migration** - it's the right architectural choice for Archon's use cases. The backend HTTP polling system is well-designed and doesn't need changes. Focus on: - -1. **Completing the migration** of remaining components -2. **Standardizing patterns** across all data fetching -3. **Optimizing query configurations** for better performance - -WebSocket would add complexity without meaningful benefits for current requirements. The HTTP polling + TanStack Query combination provides the right balance of performance, developer experience, and maintainability. - ---- -*Analysis completed on 2025-01-03* -*Total files analyzed: 15+ backend files, 9 frontend hooks, 5 major components* \ No newline at end of file