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using RobotNet10.Shared.Geometry;
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using RobotNet10.Shared.Numbers;
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using QuaternionGeometry = RobotNet10.Shared.Geometry.Quaternion;
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namespace RobotNet10.RobotApp.Client.Shared.SLAM;
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/// <summary>
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/// DTO cho Pose với covariance (3x3 matrix flattened to 9 values)
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/// </summary>
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public class PoseDto
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{
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public RobotNet10.Shared.Numbers.Vector3 Position { get; set; } = new();
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public QuaternionGeometry Orientation { get; set; } = new();
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/// <summary>
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/// Covariance matrix (3x3) flattened to 9 values: [xx, xy, xθ, yx, yy, yθ, θx, θy, θθ]
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/// null if covariance is not available
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/// </summary>
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public double[]? Covariance { get; set; }
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public double Score { get; set; }
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public DateTime Timestamp { get; set; }
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}
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/// <summary>
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/// DTO cho OccupancyGrid (optimized sparse format for SignalR transmission)
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/// Chỉ chứa các cell đã biết (known cells) và occupied cells để giảm bandwidth
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/// </summary>
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public class OccupancyGridDto
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{
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public double Resolution { get; set; }
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public int Width { get; set; }
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public int Height { get; set; }
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public Pose Origin { get; set; } = new();
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/// <summary>
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/// Sparse format: chỉ chứa các cell đã biết (value >= 0)
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/// Format: byte[] với mỗi cell = 5 bytes: [index_byte0, index_byte1, index_byte2, index_byte3, value]
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/// Index: 4 bytes little-endian (32-bit unsigned integer, max 4,294,967,295)
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/// Value: 1 byte (0-100 = occupancy probability, 0 = free, 100 = occupied)
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/// Index được tính: y * Width + x (row-major order)
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/// </summary>
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public byte[] KnownCells { get; set; } = [];
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/// <summary>
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/// Version number để detect changes (increment mỗi khi grid thay đổi)
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/// </summary>
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public long Version { get; set; }
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/// <summary>
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/// Thời gian cuối cùng update grid base (từ CartographerService.LastUpdatedBase).
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/// </summary>
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public DateTime LastBaseUpdated { get; set; }
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/// <summary>
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/// Thời gian cuối cùng update OccupancyGridUpdating (từ CartographerService.LastUpdatedUpdating).
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/// </summary>
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public DateTime LastUpdated { get; set; }
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/// <summary>
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/// Trajectory nodes (từ pose graph) kèm theo grid; dùng để vẽ trajectory polyline.
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/// Có khi lấy grid base hoặc grid updating.
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/// </summary>
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public TrajectoryNodeDto[]? TrajectoryNodes { get; set; }
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}
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/// <summary>
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/// DTO cho TrajectoryNode
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/// </summary>
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public class TrajectoryNodeDto
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{
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public int NodeId { get; set; }
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public Pose Pose { get; set; } = new();
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public DateTime Timestamp { get; set; }
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}
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/// <summary>
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/// DTO cho MapInfo
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/// </summary>
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public class MapInfoDto
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{
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public string Name { get; set; } = string.Empty;
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public DateTime CreatedDate { get; set; }
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public double Resolution { get; set; }
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/// <summary>
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/// Width of map in meters
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/// </summary>
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public double Width { get; set; }
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/// <summary>
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/// Height of map in meters
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/// </summary>
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public double Height { get; set; }
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public int TrajectoryNodeCount { get; set; }
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/// <summary>
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/// Origin X coordinate in meters
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/// </summary>
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public double OriginX { get; set; }
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/// <summary>
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/// Origin Y coordinate in meters
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/// </summary>
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public double OriginY { get; set; }
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/// <summary>
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/// Indicates if the map is currently being processed on the server
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/// </summary>
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public bool IsProcessing { get; set; }
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}
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/// <summary>
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/// DTO cho error information
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/// </summary>
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public class ErrorDto
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{
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public string Message { get; set; } = string.Empty;
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public DateTime Timestamp { get; set; }
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}
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/// <summary>
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/// Strategy for merging multiple submaps into a single occupancy grid.
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/// </summary>
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public enum SubmapMergeStrategyDto
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{
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/// <summary>
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/// Porter-Duff Source-Over compositing (Cairo-style).
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/// </summary>
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PorterDuff = 0,
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/// <summary>
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/// Sum log-odds from all submaps (Bayesian approach).
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/// </summary>
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LogOddsSum = 1,
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/// <summary>
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/// Take maximum probability (most pessimistic/conservative).
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/// </summary>
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MaxProbability = 2
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}
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/// <summary>
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/// DTO cho OccupancyGridConfiguration - dùng để customize cách render occupancy grid
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/// </summary>
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public class OccupancyGridConfigurationDto
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{
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#region Merge Strategy
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/// <summary>
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/// Strategy for merging overlapping cells from multiple submaps.
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/// Default: LogOddsSum (clearer free/occupied distinction)
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/// </summary>
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public SubmapMergeStrategyDto MergeStrategy { get; set; } = SubmapMergeStrategyDto.LogOddsSum;
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/// <summary>
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/// Clamp log-odds to prevent extreme values from dominating.
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/// Range: [1, 20], Default: 10
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/// </summary>
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public double LogOddsClamp { get; set; } = 10.0;
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/// <summary>
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/// When true, use average log-odds instead of sum.
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/// Default: true
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/// </summary>
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public bool UseLogOddsAverage { get; set; } = true;
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#endregion
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#region Threshold Configuration
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/// <summary>
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/// Threshold for classifying a cell as FREE.
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/// Higher value = stricter (fewer free cells).
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/// Range: [0, 255], Default: 100
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/// </summary>
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public int FreeSpaceThreshold { get; set; } = 100;
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/// <summary>
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/// Threshold for classifying a cell as OCCUPIED.
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/// Higher value = stricter (fewer occupied cells, thinner walls).
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/// Range: [0, 255], Default: 0
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/// </summary>
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public int OccupiedSpaceThreshold { get; set; } = 0;
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#endregion
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#region Output Mode
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/// <summary>
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/// When true, output only binary values (0=free, 100=occupied, -1=unknown).
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/// When false, output gradient values (0-100) based on probability.
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/// Default: true
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/// </summary>
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public bool UseBinaryOutput { get; set; } = true;
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#endregion
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#region Wall Thinning (Post-processing)
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/// <summary>
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/// Enable morphological erosion to thin walls in the occupancy grid.
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/// Default: false
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/// </summary>
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public bool EnableWallThinning { get; set; } = false;
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/// <summary>
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/// Number of erosion iterations for wall thinning.
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/// Range: [1, 5], Default: 1
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/// </summary>
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public int WallThinningIterations { get; set; } = 1;
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/// <summary>
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/// Minimum wall thickness to preserve (in pixels) during wall thinning.
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/// Range: [1, 10], Default: 1
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/// </summary>
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public int MinWallThicknessPixels { get; set; } = 1;
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#endregion
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#region Ambiguous Cell Handling
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/// <summary>
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/// How to handle ambiguous cells (probability ~0.5).
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/// Values: -1 = Unknown, 0 = Free, 100 = Occupied
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/// Default: -1
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/// </summary>
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public sbyte AmbiguousCellValue { get; set; } = -1;
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/// <summary>
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/// Lower bound of the ambiguous range (probability).
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/// Default: 0.35
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/// </summary>
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public double AmbiguousRangeLower { get; set; } = 0.35;
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/// <summary>
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/// Upper bound of the ambiguous range (probability).
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/// Default: 0.65
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/// </summary>
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public double AmbiguousRangeUpper { get; set; } = 0.65;
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#endregion
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#region Advanced Options
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/// <summary>
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/// Apply median filter to reduce noise.
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/// Default: false
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/// </summary>
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public bool EnableMedianFilter { get; set; } = false;
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/// <summary>
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/// Kernel size for median filter (must be odd number).
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/// Range: [3, 7], Default: 3
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/// </summary>
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public int MedianFilterKernelSize { get; set; } = 3;
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#endregion
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}
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