f14d63f14d
Frontend (17 items): - Virtualized message list with batch loading - CSS split with skeleton, drawer, search filter, message action styles - Code splitting via React.lazy + Suspense for Admin/Ethics/Settings pages - Skeleton loading components (Skeleton, SkeletonCard, SkeletonGrid) - Debounced search/filter component (SearchFilter) - Error boundary with fallback UI - Keyboard shortcuts (Ctrl+K search, Ctrl+Enter send, Escape dismiss) - Page transition animations (fade-in) - PWA support (manifest.json + service worker) - WebSocket auto-reconnect with exponential backoff (10 retries) - Chat history persistence to localStorage (500 msg limit) - Message edit/delete on hover - Copy-to-clipboard on code blocks - Mobile drawer (bottom-sheet for consensus panel) - File upload support - User preferences sync to backend Testing (8 items): - Component tests: Toast, Markdown, ChatMessage, Avatar, ErrorBoundary, Skeleton - Hook tests: useChatHistory - E2E smoke tests (5 tests) - Accessibility audit utility Backend (12 items): - Vector memory with cosine similarity search - TTS/STT adapter factory wiring - Geometry kernel with orphan detection - Tenant registry with CRUD operations - Response cache with TTL - Connection pool (async) - Background task queue - Health check endpoints (/health, /ready) - Request tracing middleware (X-Request-ID) - API key rotation mechanism - Environment-based config (settings.py) - API route documentation improvements Infrastructure (4 items): - Grafana dashboard template - Database migration system - Storybook configuration Documentation (3 items): - ADR-001: Advisory Governance Model - ADR-002: Twelve-Head Architecture - ADR-003: Consequence Engine 552 Python tests + 45 frontend tests passing, 0 ruff errors. Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
57 lines
1.5 KiB
Python
57 lines
1.5 KiB
Python
"""Tests for vector memory with cosine similarity."""
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from fusionagi.memory.service import VectorMemory
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def test_add_and_search():
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vm = VectorMemory()
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vm.add("doc1", [1.0, 0.0, 0.0], {"text": "hello"})
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vm.add("doc2", [0.0, 1.0, 0.0], {"text": "world"})
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results = vm.search([1.0, 0.0, 0.0], top_k=1)
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assert len(results) == 1
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assert results[0]["id"] == "doc1"
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assert results[0]["score"] > 0.99
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def test_cosine_similarity():
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assert abs(VectorMemory._cosine_similarity([1, 0], [1, 0]) - 1.0) < 0.001
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assert abs(VectorMemory._cosine_similarity([1, 0], [0, 1])) < 0.001
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assert abs(VectorMemory._cosine_similarity([1, 1], [1, 1]) - 1.0) < 0.001
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def test_zero_vector():
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assert VectorMemory._cosine_similarity([0, 0], [1, 0]) == 0.0
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def test_delete():
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vm = VectorMemory()
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vm.add("doc1", [1.0, 0.0])
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assert vm.count() == 1
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assert vm.delete("doc1") is True
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assert vm.count() == 0
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def test_max_entries():
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vm = VectorMemory(max_entries=2)
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vm.add("a", [1.0])
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vm.add("b", [2.0])
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vm.add("c", [3.0])
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assert vm.count() == 2
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def test_search_top_k():
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vm = VectorMemory()
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vm.add("a", [1.0, 0.0])
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vm.add("b", [0.9, 0.1])
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vm.add("c", [0.0, 1.0])
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results = vm.search([1.0, 0.0], top_k=2)
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assert len(results) == 2
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assert results[0]["id"] == "a"
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def test_search_with_metadata():
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vm = VectorMemory()
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vm.add("doc", [1.0], {"key": "value"})
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results = vm.search([1.0])
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assert results[0]["metadata"]["key"] == "value"
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