Turner/CS3642-Artificial_Intelligence
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Documented and Organized Code.

Browse Source
This commit is contained in:
Jonathan Turner 2024-02-11 21:57:52 -05:00
parent 76c66440d6
commit 4753ba5aa9
2 changed files with 159 additions and 114 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
src/main/java/Assignments/A1/view/BoardViewCodeBehind.java
View File

@ -6,6 +6,12 @@ import javafx.event.ActionEvent;
import javafx.fxml.FXML;
import javafx.scene.control.*;
/**
* Code Behind file for MainView.fxml
*
* @author Jonathan Turner
* @version Spring 2024
*/
public class BoardViewCodeBehind {
@FXML
@ -89,6 +95,11 @@ public class BoardViewCodeBehind {
this.viewModel.runPerformanceCheck();
}
@FXML
void openPerformance(ActionEvent event) {
this.viewModel.openPerf();
}
public void onGenerateBoard(ActionEvent actionEvent) {
this.viewModel.generateBoard();
}
@ -111,11 +122,6 @@ public class BoardViewCodeBehind {
}
@FXML
void openPerformance(ActionEvent event) {
this.viewModel.openPerf();
}
public void onDFS(ActionEvent actionEvent) {
viewModel.setSelectedAlg("DFS");
this.menu_alg.textProperty().set(this.menu_alg.getItems().get(0).textProperty().get());

257
src/main/java/Assignments/A1/view/MainViewModel.java
View File

@ -19,15 +19,14 @@ import java.util.Stack;
public class MainViewModel {
/* Private Fields used to bind */
private StringProperty currentBoardProperty, algSpeedProperty;
private StringProperty iterationCounter;
private BooleanProperty expanded, DFS, UCS, BFS, AStar, solvingAlgErr, genBoardErr, disclaimer, openPerf, runPerf;
private final StringProperty currentBoardProperty, algSpeedProperty, iterationCounter;
private final BooleanProperty expanded, DFS, UCS, BFS, AStar, solvingAlgErr, genBoardErr, disclaimer, openPerf, runPerf;
private BoardNode current = new BoardNode(new Board(), null);
private TreeItem<BoardNode> solvedRootNode = null;
/* Private Fields used for traversing/creating nodes. */
private BoardNode solvedRootBoardNode = null;
private long[][] hasRanPerformance;
private final long[][] hasRanPerformance;
private String selectedAlg;
/**
@ -57,85 +56,24 @@ public class MainViewModel {
this.hasRanPerformance = new long[4][102];
}
/**
* Generates the board and sets the board on view to new board.
*
* @precondition none
* @postcondition none
*/
public void runPerformanceCheck() {
Solver solver = null;
int alg = -1;
if (this.selectedAlg.equals("DFS") && this.hasRanPerformance[0][0] == 0) {
solver = new DFS();
alg = 0;
} else if (this.selectedAlg.equals("UCS") && this.hasRanPerformance[1][0] == 0) {
solver = new PriorityTraversal(new UCS());
alg = 1;
} else if (this.selectedAlg.equals("BFS") && this.hasRanPerformance[2][0] == 0) {
solver = new PriorityTraversal(new BFS());
alg = 2;
} else if (this.selectedAlg.equals("AStar") && this.hasRanPerformance[3][0] == 0) {
solver = new PriorityTraversal(new AStar());
alg = 3;
}
if (solver != null) {
for (int i = 0; i < 100; i++) {
Board board = BoardGenerator.generateBoard();
System.out.println(board);
long start = new Date().getTime();
BoardNode node = solver.traverse(board);
long end = new Date().getTime();
System.out.println(node.board + "\n");
if (node != null) {
this.hasRanPerformance[alg][i + 2] = end - start;
this.currentBoardProperty.setValue(node.board.toString());
} else {
this.hasRanPerformance[alg][i+2] = -1;
}
iterationCounter.setValue("Performing Analysis Iteration: " + (i+1) + "/100");
}
this.hasRanPerformance[alg][0] = 1;
this.runPerf.setValue(false);
this.openPerf.setValue(true);
}
for (int i = 1; i < this.hasRanPerformance[alg].length; i++) {
System.out.println(this.hasRanPerformance[alg][i]);
}
}
public void setSelectedAlg(String value) {
this.selectedAlg = value;
this.DFS.set(value.equals("DFS"));
this.UCS.set(value.equals("UCS"));
this.BFS.set(value.equals("BFS"));
this.AStar.set(value.equals("AStar"));
this.disclaimer.setValue(value.equals("DFS"));
this.openPerf.setValue(this.hasRanPerformance[convertValueToInt(value)][0] == 1);
this.runPerf.setValue(this.hasRanPerformance[convertValueToInt(value)][0] == 0);
if (this.hasRanPerformance[convertValueToInt(value)][0] == 0) {
this.iterationCounter.set("");
}
}
private int convertValueToInt(String value) {
if (value.equals("DFS")) return 0;
if (value.equals("UCS")) return 1;
if (value.equals("BFS")) return 2;
return 3;
}
public StringProperty getCurrentBoardProperty() {
return this.currentBoardProperty;
}
public void generateBoard() {
this.current = new BoardNode(BoardGenerator.generateBoard(), null);
currentBoardProperty.set(this.current.board.toString());
}
/**
* Solves the current board by checking for which alg is selected, then will solve that board
* with the given alg that implements the Solver interface.
*
* @precondition menuItem != null && (board != solver || board != null)
* @postcondition the board is solved.
*/
public void solveBoard() {
if (selectedAlg == null || selectedAlg.isEmpty()) {
this.solvingAlgErr.setValue(true);
@ -175,6 +113,88 @@ public class MainViewModel {
this.current = solved;
}
/**
* Sets the values of the data using the View's Property files and Bindings.
*
* @precondition none
* @postcondition none
*
* @param value the menu item value.
*/
public void setSelectedAlg(String value) {
this.selectedAlg = value;
this.DFS.set(value.equals("DFS"));
this.UCS.set(value.equals("UCS"));
this.BFS.set(value.equals("BFS"));
this.AStar.set(value.equals("AStar"));
this.disclaimer.setValue(value.equals("DFS"));
this.openPerf.setValue(this.hasRanPerformance[convertValueToInt(value)][0] == 1);
this.runPerf.setValue(this.hasRanPerformance[convertValueToInt(value)][0] == 0);
if (this.hasRanPerformance[convertValueToInt(value)][0] == 0) {
this.iterationCounter.set("");
}
}
/**
* Runs through the selected algorithm and will run it 100 times. It will collect data from these runs
* and store them. It will then allow you to view the data in a new windows and the button will appear.
*
* @precondition none
* @postcondition the performance is taken.
*/
public void runPerformanceCheck() {
Solver solver = null;
int alg = -1;
if (this.selectedAlg.equals("DFS") && this.hasRanPerformance[0][0] == 0) {
solver = new DFS();
alg = 0;
} else if (this.selectedAlg.equals("UCS") && this.hasRanPerformance[1][0] == 0) {
solver = new PriorityTraversal(new UCS());
alg = 1;
} else if (this.selectedAlg.equals("BFS") && this.hasRanPerformance[2][0] == 0) {
solver = new PriorityTraversal(new BFS());
alg = 2;
} else if (this.selectedAlg.equals("AStar") && this.hasRanPerformance[3][0] == 0) {
solver = new PriorityTraversal(new AStar());
alg = 3;
}
int averageNodes = 0;
if (solver != null) {
for (int i = 0; i < 100; i++) {
Board board = BoardGenerator.generateBoard();
System.out.println(board);
long start = new Date().getTime();
BoardNode node = solver.traverse(board);
long end = new Date().getTime();
System.out.println(node.board + "\n");
if (node != null) {
this.hasRanPerformance[alg][i + 2] = end - start;
this.currentBoardProperty.setValue(node.board.toString());
averageNodes += solver.getNumOfNodes();
updateDisplay();
} else {
this.hasRanPerformance[alg][i+2] = -1;
}
iterationCounter.setValue("Performing Analysis Iteration: " + (i+1) + "/100");
}
this.hasRanPerformance[alg][0] = 1;
this.hasRanPerformance[alg][1] = averageNodes;
this.runPerf.setValue(false);
this.openPerf.setValue(true);
}
for (int i = 1; i < this.hasRanPerformance[alg].length; i++) {
System.out.println(this.hasRanPerformance[alg][i]);
}
}
/**
* Opens the performance files that were previously generated. Is only visible when performance is already generated.
*
* @precondition performance == generated
* @postcondition performance is displayed in Alert.
*/
public void openPerf() {
long totalTime = 0;
int success = 0;
@ -201,52 +221,26 @@ public class MainViewModel {
perf.setHeaderText(success + "/" + 100 + " Succeeded.");
String results = "Shortest Run: " + shortest + "ms\n" +
"Longest Run: " + longest + "ms\n" +
"Average Time: " + average + "ms";
"Average Time: " + average + "ms" + "\n" +
"Average Nodes: " + (this.hasRanPerformance[convertValueToInt(this.selectedAlg)][1]/success);
perf.setContentText(results);
perf.show();
}
/**
* Is used to update the display with the current board.
*
* @precondition none
* @postcondition the dispaly is updated.
*/
public void updateDisplay() {
TreeItem<BoardNode> newRoot = null;
newRoot = this.rebuildTree(this.solvedRootBoardNode, this.expanded.getValue());
this.solvedRootNode = newRoot;
}
private TreeItem<BoardNode> rebuildTree(BoardNode root, boolean expanded) {
if (this.selectedAlg != null) {
if (this.selectedAlg.equals("DFS")) {
Stack<BoardNode> generations = new Stack<>();
BoardNode temp = this.current;
while (temp != null) {
generations.push(temp);
temp = temp.parent;
}
TreeItem<BoardNode> rootItem = new TreeItem<>(root);
TreeItem<BoardNode> currItem = rootItem;
while (!generations.isEmpty()) {
TreeItem<BoardNode> child = new TreeItem<>(generations.pop());
currItem.getChildren().add(child);
currItem.setExpanded(expanded);
currItem = child;
}
return rootItem;
} else {
TreeItem<BoardNode> treeItem = new TreeItem<>(root);
for (BoardNode child : root.children) {
TreeItem<BoardNode> childItem = rebuildTree(child, expanded);
treeItem.getChildren().add(childItem);
}
treeItem.setExpanded(expanded);
return treeItem;
}
}
return new TreeItem<>();
}
/* Getters for bindings */
public TreeItem<BoardNode> getSolvedRootNode() {
return solvedRootNode;
}
@ -306,4 +300,49 @@ public class MainViewModel {
public BooleanProperty runPerfProperty() {
return runPerf;
}
public StringProperty getCurrentBoardProperty() {
return this.currentBoardProperty;
}
/* End of Public Methods. Private Fields Only */
private TreeItem<BoardNode> rebuildTree(BoardNode root, boolean expanded) {
if (this.selectedAlg != null) {
if (this.selectedAlg.equals("DFS")) {
Stack<BoardNode> generations = new Stack<>();
BoardNode temp = this.current;
while (temp != null) {
generations.push(temp);
temp = temp.parent;
}
TreeItem<BoardNode> rootItem = new TreeItem<>(root);
TreeItem<BoardNode> currItem = rootItem;
while (!generations.isEmpty()) {
TreeItem<BoardNode> child = new TreeItem<>(generations.pop());
currItem.getChildren().add(child);
currItem.setExpanded(expanded);
currItem = child;
}
return rootItem;
} else {
TreeItem<BoardNode> treeItem = new TreeItem<>(root);
for (BoardNode child : root.children) {
TreeItem<BoardNode> childItem = rebuildTree(child, expanded);
treeItem.getChildren().add(childItem);
}
treeItem.setExpanded(expanded);
return treeItem;
}
}
return new TreeItem<>();
}
private int convertValueToInt(String value) {
if (value.equals("DFS")) return 0;
if (value.equals("UCS")) return 1;
if (value.equals("BFS")) return 2;
return 3;
}
}