0e9dbc3625
- Wrap return values in collect() to maintain Collection compatibility - Add comment explaining threshold <= 2 prevents division by zero - Refactor tests to use actual Server model method via reflection - Use seeded mt_rand() for reproducible test results 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
131 lines
3.3 KiB
PHP
131 lines
3.3 KiB
PHP
<?php
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use App\Models\Server;
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/**
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* Helper to call the private downsampleLTTB method on Server model via reflection.
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*/
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function callDownsampleLTTB(array $data, int $threshold): array
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{
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$server = new Server;
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$reflection = new ReflectionClass($server);
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$method = $reflection->getMethod('downsampleLTTB');
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return $method->invoke($server, $data, $threshold);
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}
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it('returns data unchanged when below threshold', function () {
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$data = [
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[1000, 10.5],
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[2000, 20.3],
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[3000, 15.7],
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];
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$result = callDownsampleLTTB($data, 1000);
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expect($result)->toBe($data);
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});
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it('returns data unchanged when threshold is 2 or less', function () {
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$data = [
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[1000, 10.5],
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[2000, 20.3],
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[3000, 15.7],
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[4000, 25.0],
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[5000, 12.0],
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];
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$result = callDownsampleLTTB($data, 2);
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expect($result)->toBe($data);
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$result = callDownsampleLTTB($data, 1);
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expect($result)->toBe($data);
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});
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it('downsamples to target threshold count', function () {
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// Seed for reproducibility
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mt_srand(42);
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// Generate 100 data points
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$data = [];
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for ($i = 0; $i < 100; $i++) {
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$data[] = [$i * 1000, mt_rand(0, 100) / 10];
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}
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$result = callDownsampleLTTB($data, 10);
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expect(count($result))->toBe(10);
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});
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it('preserves first and last data points', function () {
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$data = [];
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for ($i = 0; $i < 100; $i++) {
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$data[] = [$i * 1000, $i * 1.5];
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}
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$result = callDownsampleLTTB($data, 20);
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// First point should be preserved
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expect($result[0])->toBe($data[0]);
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// Last point should be preserved
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expect(end($result))->toBe(end($data));
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});
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it('maintains chronological order', function () {
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$data = [];
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for ($i = 0; $i < 500; $i++) {
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$data[] = [$i * 60000, sin($i / 10) * 50 + 50]; // Sine wave pattern
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}
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$result = callDownsampleLTTB($data, 50);
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// Verify all timestamps are in non-decreasing order
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$previousTimestamp = -1;
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foreach ($result as $point) {
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expect($point[0])->toBeGreaterThanOrEqual($previousTimestamp);
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$previousTimestamp = $point[0];
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}
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});
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it('handles large datasets efficiently', function () {
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// Seed for reproducibility
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mt_srand(123);
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// Simulate 30 days of data at 5-second intervals (518,400 points)
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// For test purposes, use 10,000 points
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$data = [];
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for ($i = 0; $i < 10000; $i++) {
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$data[] = [$i * 5000, mt_rand(0, 100)];
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}
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$startTime = microtime(true);
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$result = callDownsampleLTTB($data, 1000);
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$executionTime = microtime(true) - $startTime;
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expect(count($result))->toBe(1000);
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expect($executionTime)->toBeLessThan(1.0); // Should complete in under 1 second
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});
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it('preserves peaks and valleys in data', function () {
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// Create data with clear peaks and valleys
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$data = [];
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for ($i = 0; $i < 100; $i++) {
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if ($i === 25) {
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$value = 100; // Peak
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} elseif ($i === 75) {
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$value = 0; // Valley
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} else {
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$value = 50;
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}
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$data[] = [$i * 1000, $value];
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}
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$result = callDownsampleLTTB($data, 20);
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// The peak (100) and valley (0) should be preserved due to LTTB algorithm
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$values = array_column($result, 1);
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expect(in_array(100, $values))->toBeTrue();
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expect(in_array(0, $values))->toBeTrue();
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});
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