6ed69a3d48
Major changes: - Organized Python v1 implementation into v1/ subdirectory - Created Rust workspace with 9 modular crates: - wifi-densepose-core: Core types, traits, errors - wifi-densepose-signal: CSI processing, phase sanitization, FFT - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch) - wifi-densepose-api: Axum-based REST/WebSocket API - wifi-densepose-db: SQLx database layer - wifi-densepose-config: Configuration management - wifi-densepose-hardware: Hardware abstraction - wifi-densepose-wasm: WebAssembly bindings - wifi-densepose-cli: Command-line interface Documentation: - ADR-001: Workspace structure - ADR-002: Signal processing library selection - ADR-003: Neural network inference strategy - DDD domain model with bounded contexts Testing: - 69 tests passing across all crates - Signal processing: 45 tests - Neural networks: 21 tests - Core: 3 doc tests Performance targets: - 10x faster CSI processing (~0.5ms vs ~5ms) - 5x lower memory usage (~100MB vs ~500MB) - WASM support for browser deployment
107 lines
4.0 KiB
Python
107 lines
4.0 KiB
Python
import pytest
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import numpy as np
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from unittest.mock import Mock, patch
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from src.core.phase_sanitizer import PhaseSanitizer
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class TestPhaseSanitizer:
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"""Test suite for Phase Sanitizer following London School TDD principles"""
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@pytest.fixture
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def mock_phase_data(self):
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"""Generate synthetic phase data for testing"""
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# Phase data with unwrapping issues and outliers
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return np.array([
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[0.1, 0.2, 6.0, 0.4, 0.5], # Contains phase jump at index 2
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[-3.0, -0.1, 0.0, 0.1, 0.2], # Contains wrapped phase at index 0
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[0.0, 0.1, 0.2, 0.3, 0.4] # Clean phase data
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])
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@pytest.fixture
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def phase_sanitizer(self):
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"""Create Phase Sanitizer instance for testing"""
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return PhaseSanitizer()
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def test_unwrap_phase_removes_discontinuities(self, phase_sanitizer, mock_phase_data):
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"""Test that phase unwrapping removes 2π discontinuities"""
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# Act
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result = phase_sanitizer.unwrap_phase(mock_phase_data)
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# Assert
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assert result is not None
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assert isinstance(result, np.ndarray)
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assert result.shape == mock_phase_data.shape
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# Check that large jumps are reduced
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for i in range(result.shape[0]):
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phase_diffs = np.abs(np.diff(result[i]))
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assert np.all(phase_diffs < np.pi) # No jumps larger than π
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def test_remove_outliers_filters_anomalous_values(self, phase_sanitizer, mock_phase_data):
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"""Test that outlier removal filters anomalous phase values"""
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# Arrange - Add clear outliers
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outlier_data = mock_phase_data.copy()
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outlier_data[0, 2] = 100.0 # Clear outlier
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# Act
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result = phase_sanitizer.remove_outliers(outlier_data)
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# Assert
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assert result is not None
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assert isinstance(result, np.ndarray)
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assert result.shape == outlier_data.shape
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assert np.abs(result[0, 2]) < 10.0 # Outlier should be corrected
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def test_smooth_phase_reduces_noise(self, phase_sanitizer, mock_phase_data):
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"""Test that phase smoothing reduces noise while preserving trends"""
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# Arrange - Add noise
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noisy_data = mock_phase_data + np.random.normal(0, 0.1, mock_phase_data.shape)
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# Act
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result = phase_sanitizer.smooth_phase(noisy_data)
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# Assert
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assert result is not None
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assert isinstance(result, np.ndarray)
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assert result.shape == noisy_data.shape
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# Smoothed data should have lower variance
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original_variance = np.var(noisy_data)
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smoothed_variance = np.var(result)
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assert smoothed_variance <= original_variance
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def test_sanitize_handles_empty_input(self, phase_sanitizer):
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"""Test that sanitizer handles empty input gracefully"""
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# Arrange
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empty_data = np.array([])
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# Act & Assert
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with pytest.raises(ValueError, match="Phase data cannot be empty"):
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phase_sanitizer.sanitize(empty_data)
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def test_sanitize_full_pipeline_integration(self, phase_sanitizer, mock_phase_data):
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"""Test that full sanitization pipeline works correctly"""
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# Act
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result = phase_sanitizer.sanitize(mock_phase_data)
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# Assert
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assert result is not None
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assert isinstance(result, np.ndarray)
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assert result.shape == mock_phase_data.shape
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# Result should be within reasonable phase bounds
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assert np.all(result >= -2*np.pi)
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assert np.all(result <= 2*np.pi)
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def test_sanitize_performance_requirement(self, phase_sanitizer, mock_phase_data):
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"""Test that phase sanitization meets performance requirements (<5ms)"""
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import time
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# Act
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start_time = time.time()
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result = phase_sanitizer.sanitize(mock_phase_data)
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processing_time = time.time() - start_time
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# Assert
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assert processing_time < 0.005 # <5ms requirement
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assert result is not None |