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2022NoWayHome/src/main/java/frc4388/robot/commands/ShooterCommands/TrackTarget.java
T

168 lines
6.1 KiB
Java

// 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.
package frc4388.robot.commands.ShooterCommands;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.stream.Collector;
import java.util.stream.Collectors;
import org.opencv.core.Point;
import edu.wpi.first.math.geometry.Pose2d;
import edu.wpi.first.wpilibj.motorcontrol.MotorController;
import edu.wpi.first.wpilibj.smartdashboard.SmartDashboard;
import edu.wpi.first.wpilibj2.command.CommandBase;
import frc4388.robot.RobotContainer;
import frc4388.robot.Constants.ShooterConstants;
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;
import frc4388.robot.subsystems.Vision;
import frc4388.robot.subsystems.VisionOdometry;
import frc4388.utility.Vector2D;
import frc4388.utility.desmos.DesmosServer;
public class TrackTarget extends CommandBase {
/** Creates a new TrackTarget. */
SwerveDrive m_swerve;
Turret m_turret;
VisionOdometry m_visionOdometry;
BoomBoom m_boomBoom;
Hood m_hood;
static double velocity;
static double hoodPosition;
ArrayList<Point> points = new ArrayList<>();
private boolean targetLocked = false;
private double velocityTolerance = 100.0;
private double hoodTolerance = 5.0;
boolean isExecuted = false;
public TrackTarget (Turret turret, BoomBoom boomBoom, Hood hood, VisionOdometry visionOdometry) {
m_turret = turret;
m_boomBoom = boomBoom;
m_hood = hood;
m_visionOdometry = visionOdometry;
addRequirements(m_turret, m_boomBoom, m_hood, m_visionOdometry);
}
// Called when the command is initially scheduled.
@Override
public void initialize() {
velocity = 0;
hoodPosition = 0;
}
// Called every time the scheduler runs while the command is scheduled.
@Override
public void execute() {
try {
m_visionOdometry.setDriverMode(false);
m_visionOdometry.setLEDs(true);
points = m_visionOdometry.getTargetPoints();
// points = filterPoints(points);
Point average = VisionOdometry.averagePoint(points);
double output = (average.x - VisionConstants.LIME_HIXELS/2.d) / VisionConstants.LIME_HIXELS;
output *= 2;
m_turret.runTurretWithInput(output);
// 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)
// 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);
double regressedDistance = getDistance(average.y);
// ! 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);
m_boomBoom.runDrumShooterVelocityPID(velocity);
m_hood.runAngleAdjustPID(hoodPosition);
double currentDrumVel = this.m_boomBoom.m_shooterFalconLeft.getSelectedSensorVelocity();
double currentHood = this.m_hood.getEncoderPosition();
targetLocked = (Math.abs(currentDrumVel - velocity) < velocityTolerance) && (Math.abs(currentHood - hoodPosition) < hoodTolerance);
SmartDashboard.putNumber("Regressed Distance", regressedDistance);
// 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){
e.printStackTrace();
}
}
// 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());
// }
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;
SmartDashboard.putNumber("Distance from Lime 123", distance);
SmartDashboard.putNumber("Regressed Distance from Lime 123", regressedDistance);
return regressedDistance;
}
public final double distanceRegression(double distance) {
return (79.6078 * Math.pow(1.01343, distance) - 56.6671);
}
// Called once the command ends or is interrupted.
@Override
public void end(boolean interrupted) {
m_visionOdometry.setLEDs(false);
m_visionOdometry.setDriverMode(true);
}
// Returns true when the command should end.
@Override
public boolean isFinished() {
return false;
// return isExecuted && Math.abs(output) < .1;
}
}