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https://github.com/ivuorinen/hiha-arvio.git
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Ismo Vuorinen
dd3a4f3d97
Implemented all core services following strict TDD (RED-GREEN-REFACTOR): **Services Implemented:** - EstimateService: Generate estimates with intensity-based range selection - StorageService: SQLite persistence with auto-pruning - ShakeDetectionService: Accelerometer-based shake detection **Features:** - Cryptographically secure RNG for estimate selection - Easter egg logic (>15s shake → Humorous mode) - Intensity-based range calculation (0-0.3: 20%, 0.3-0.7: 50%, 0.7+: 100%) - SQLite with auto-pruning based on MaxHistorySize - Shake detection with 1.5g threshold - Duration tracking and intensity normalization (0.0-1.0) - Event-based notifications (ShakeDataChanged) **Tests:** - EstimateService: 25 tests (RED-GREEN-REFACTOR) - StorageService: 14 tests (RED-GREEN-REFACTOR) - ShakeDetectionService: 22 tests (RED-GREEN-REFACTOR) - Integration tests: 10 tests - Total: 119 tests, all passing **Quality:** - Build: 0 warnings, 0 errors across all platforms - Coverage: 51.28% line (low due to MAUI template), 87.5% branch - All service/model code has high coverage 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
26 lines
1.1 KiB
C#
26 lines
1.1 KiB
C#
using HihaArvio.Models;
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namespace HihaArvio.Services.Interfaces;
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/// <summary>
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/// Service for generating time estimates based on shake data.
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/// </summary>
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public interface IEstimateService
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{
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/// <summary>
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/// Generates a time estimate based on shake intensity, duration, and selected mode.
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/// </summary>
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/// <param name="intensity">Normalized shake intensity (0.0 to 1.0).</param>
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/// <param name="duration">Duration of the shake gesture.</param>
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/// <param name="mode">The estimation mode (Work, Generic, or Humorous).</param>
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/// <returns>An EstimateResult with the generated estimate and metadata.</returns>
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/// <remarks>
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/// Per spec: If duration exceeds 15 seconds, mode is automatically changed to Humorous (easter egg).
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/// Intensity determines the range of possible estimates:
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/// - Low (0.0-0.3): narrow range (first 20% of pool)
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/// - Medium (0.3-0.7): medium range (first 50% of pool)
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/// - High (0.7-1.0): full range (entire pool)
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/// </remarks>
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EstimateResult GenerateEstimate(double intensity, TimeSpan duration, EstimateMode mode);
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}
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