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2022NoWayHome/src/main/java/frc4388/robot/commands/ShooterCommands/TrackTarget.java
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// Copyright (c) FIRST and other WPILib contributors.
// Open Source Software; you can modify and/or share it under the terms of
// the WPILib BSD license file in the root directory of this project.
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package frc4388.robot.commands.ShooterCommands;
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import java.util.ArrayList;
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import java.util.HashMap;
import java.util.stream.Collector;
import java.util.stream.Collectors;
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import org.opencv.core.Point;
import edu.wpi.first.math.geometry.Pose2d;
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import edu.wpi.first.wpilibj.motorcontrol.MotorController;
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import edu.wpi.first.wpilibj.smartdashboard.SmartDashboard;
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import edu.wpi.first.wpilibj2.command.CommandBase;
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import frc4388.robot.RobotContainer;
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import frc4388.robot.Constants.ShooterConstants;
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import frc4388.robot.Constants.VisionConstants;
import frc4388.robot.subsystems.BoomBoom;
import frc4388.robot.subsystems.Hood;
import frc4388.robot.subsystems.SwerveDrive;
import frc4388.robot.subsystems.Turret;
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import frc4388.robot.subsystems.Vision;
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import frc4388.robot.subsystems.VisionOdometry;
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import frc4388.utility.Vector2D;
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import frc4388.utility.desmos.DesmosServer;
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public class TrackTarget extends CommandBase {
/** Creates a new TrackTarget. */
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SwerveDrive m_swerve;
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Turret m_turret;
VisionOdometry m_visionOdometry;
BoomBoom m_boomBoom;
Hood m_hood;
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static double velocity;
static double hoodPosition;
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ArrayList<Point> points = new ArrayList<>();
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private boolean targetLocked = false;
private double velocityTolerance = 100.0;
private double hoodTolerance = 5.0;
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boolean isExecuted = false;
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public TrackTarget (SwerveDrive swerve, Turret turret, BoomBoom boomBoom, Hood hood, VisionOdometry visionOdometry) {
m_swerve = swerve;
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m_turret = turret;
m_boomBoom = boomBoom;
m_hood = hood;
m_visionOdometry = visionOdometry;
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addRequirements(m_turret, m_boomBoom, m_hood, m_visionOdometry);
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}
// Called when the command is initially scheduled.
@Override
public void initialize() {
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velocity = 0;
hoodPosition = 0;
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}
// Called every time the scheduler runs while the command is scheduled.
@Override
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public void execute() {
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try {
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m_visionOdometry.setDriverMode(false);
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m_visionOdometry.setLEDs(true);
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points = m_visionOdometry.getTargetPoints();
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points = filterPoints(points);
Point average = VisionOdometry.averagePoint(points);
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double output = (average.x - VisionConstants.LIME_HIXELS/2.d) / VisionConstants.LIME_HIXELS;
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output *= 2;
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m_turret.runTurretWithInput(output);
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double position = m_turret.m_boomBoomRotateEncoder.getPosition();
if(Math.abs(position - ShooterConstants.TURRET_FORWARD_SOFT_LIMIT) < 5 ||
Math.abs(position - ShooterConstants.TURRET_REVERSE_SOFT_LIMIT) < 5)
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m_swerve.driveWithInput(RobotContainer.getDriverController().getLeftX(), RobotContainer.getDriverController().getLeftY(), output, true);
else
m_swerve.driveWithInput(RobotContainer.getDriverController().getLeftX(), RobotContainer.getDriverController().getLeftY(),
RobotContainer.getDriverController().getRightX(), RobotContainer.getDriverController().getRightY(),
true);
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double regressedDistance = getDistance(average.y);
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// ! add 30 to the distance to get in target. May need to be adjusted
velocity = m_boomBoom.getVelocity(regressedDistance + 30);
hoodPosition = m_boomBoom.getHood(regressedDistance + 30);
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m_boomBoom.runDrumShooterVelocityPID(velocity);
m_hood.runAngleAdjustPID(hoodPosition);
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double currentDrumVel = this.m_boomBoom.m_shooterFalconLeft.getSelectedSensorVelocity();
double currentHood = this.m_hood.getEncoderPosition();
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targetLocked = (Math.abs(currentDrumVel - velocity) < velocityTolerance) && (Math.abs(currentHood - hoodPosition) < hoodTolerance);
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SmartDashboard.putNumber("Regressed Distance", regressedDistance);
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// SmartDashboard.putNumber("Distance", distance);
SmartDashboard.putNumber("Hood Target Angle Track", hoodPosition);
SmartDashboard.putNumber("Vel Target Track", velocity);
SmartDashboard.putBoolean("Target Locked", targetLocked);
} catch (Exception e){
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e.printStackTrace();
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}
}
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public ArrayList<Point> filterPoints(ArrayList<Point> points) {
Point average = VisionOdometry.averagePoint(points);
HashMap<Point, Double> pointDistances = new HashMap<>();
double distanceSum = 0;
for(Point point : points) {
Vector2D difference = new Vector2D(point);
difference.subtract(new Vector2D(average));
double mag = difference.magnitude();
distanceSum += mag;
pointDistances.put(point, mag);
}
final double averageDist = distanceSum / points.size();
return (ArrayList<Point>) pointDistances.keySet().stream().filter(p -> pointDistances.get(p) < 2 * averageDist).collect(Collectors.toList());
}
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public final double getDistance(double averageY) {
double y_rot = averageY / VisionConstants.LIME_VIXELS;
y_rot *= Math.toRadians(VisionConstants.V_FOV);
y_rot -= Math.toRadians(VisionConstants.V_FOV) / 2;
y_rot += Math.toRadians(VisionConstants.LIME_ANGLE);
double distance = (VisionConstants.TARGET_HEIGHT - VisionConstants.LIME_HEIGHT) / Math.tan(y_rot);
double regressedDistance = distanceRegression(distance);
regressedDistance += VisionConstants.EDGE_TO_CENTER + VisionConstants.LIMELIGHT_RADIUS;
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return regressedDistance;
}
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public final double distanceRegression(double distance) {
return (79.6078 * Math.pow(1.01343, distance) - 56.6671);
}
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// Called once the command ends or is interrupted.
@Override
public void end(boolean interrupted) {
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m_visionOdometry.setLEDs(false);
m_visionOdometry.setDriverMode(true);
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}
// Returns true when the command should end.
@Override
public boolean isFinished() {
return false;
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// return isExecuted && Math.abs(output) < .1;
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}
}