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"""
Assignment 6

The goal is to make a graph of
who bit who and who was bitten.
There should be 10 nodes and 15 edges.
3 arrows of biting each other and
3 arrows of someone biting themselves.
Networkx can not do self biting
arrows, but it is in the code.
"""

from graphviz import Digraph as DDotGraph
from graphviz import Graph as UDotGraph
import networkx as nx
from networkx.algorithms.dag import transitive_closure
import graphviz as gv
import matplotlib.pyplot as plt
import numpy as np
from numpy.linalg import matrix_power

"""
class DGraph:
    def __init__(self):
        self.d = dict()

    def clear(self):
        self.d = dict()

    def add_node(self,n):
        if not self.d.get(n):
            self.d[n] = set()

    def add_edge(self,e):
        f,t=e
        self.add_node(f)
        self.add_node(t)
        vs=self.d.get(f)
        if not vs:
            self.d[f] = {t}
        else:
            vs.add(t)

    def add_edges_from(self,es):
        for e in es:
            self.add_edge(e)

    def edges(self):
        for f in self.d:
            for t in self.d[f]:
                yield (f,t)

    def number_of_nodes(self):
        return len(self.d)

    def __repr__(self):
        return self.d.__repr__()

    def show(self):
        dot = gv.Digraph()
        for e in self.edges():
            #print(e)
            f, t = e
            dot.edge(str(f), str(t), label='')
        #print(dot.source)
        show(dot)

# displays graph with graphviz
def show(dot, show=True, file_name='graph.gv'):
    dot.render(file_name, view=show)


def showGraph(g,label="",directed=True):
    if directed:
        dot = gv.Digraph()
    else:
        dot = gv.Graph()

    for e in g.edges():
        print(e)
        f, t = e
        dot.edge(str(f), str(t), label=label)
    print(dot.source)
    show(dot)


def bit():
    G = DGraph()
    G.add_edge(("Blade","Samara"))
    G.add_edge(("Shadow","Wolfe"))
    G.add_edge(("Raven", "Austin"))
    G.add_edge(("Blade", "Alice"))
    G.add_edge(("Alice","Brandon"))
    G.add_edge(("Blade", "Wolfe"))
    G.add_edge(("Samara", "Robin"))
    G.add_edge(("Samara", "Raven"))
    G.add_edge(("Samara", "Hamed"))
    G.add_edge(("Wolfe", "Blade"))
    G.add_edge(("Hamed", "Samara"))
    G.add_edge(("Wolfe", "Shadow"))
    G.add_edge(("Brandon", "Brandon"))
    G.add_edge(("Hamed", "Hamed"))
    G.add_edge(("Austin", "Austin"))
    showGraph(G, label="bit")

bit()

def bitten():
    G=DGraph()
    G.add_edge(("Samara","Blade"))
    G.add_edge(("Wolfe","Shadow"))
    G.add_edge(("Austin", "Raven"))
    G.add_edge(("Alice","Blade"))
    G.add_edge(("Brandon", "Alice"))
    G.add_edge(("Wolfe", "Blade" ))
    G.add_edge(("Robin", "Samara"))
    G.add_edge(("Raven", "Samara"))
    G.add_edge(("Hamed", "Samara"))
    G.add_edge(("Blade", "Wolfe"))
    G.add_edge(("Samara", "Hamed"))
    G.add_edge(("Shadow", "Wolfe"))
    G.add_edge(("Brandon", "Brandon"))
    G.add_edge(("Hamed", "Hamed"))
    G.add_edge(("Austin", "Austin"))
    showGraph(G, label="bitten by")

#bitten()

family = ["Blade", "Samara", "Shadow", "Wolfe", "Raven", "Alice"]
"""

#Do transitive closure call out and the
#matrix power operation should be the same
D = nx.DiGraph()
#D.add_nodes_from("SamaraBladeWolfeShadowAliceRavenBrandonRobinHamedAustin")
D.add_edge("Blade","Samara")
D.add_edge("Shadow","Wolfe")
D.add_edge("Raven", "Austin")
D.add_edge("Blade", "Alice")
D.add_edge("Alice","Brandon")
D.add_edge("Blade", "Wolfe")
D.add_edge("Samara", "Robin")
D.add_edge("Samara", "Raven")
D.add_edge("Samara", "Hamed")
D.add_edge("Wolfe", "Blade")
D.add_edge("Hamed", "Samara")
D.add_edge("Wolfe", "Shadow")
D.add_edge("Brandon", "Brandon")
D.add_edge("Hamed", "Hamed")
D.add_edge("Austin", "Austin")

T = transitive_closure(D)

for e in D.edges(): print(e)
for n in D.nodes(): print(n)

def show(H):
    nx.draw(H, with_labels=True, font_weight='bold')
    plt.show()
#Use nx.to_numpy_matrix instead of nx.adjacency_matrix

# M = nx.adjacency_matrix(D)
# MT = nx.adjacency_matrix(T)
M = nx.to_numpy_matrix(D)
MT = nx.to_numpy_matrix(T)
M2 = M@M

def mPower(M, k): #M is numpy matrix
    assert k >= 1
    P = M
    for _ in range(k):
       P = P @ M
    return P

def tc(M):
    #compute transitive closure
    pass

D1 = nx.DiGraph(M)
D2 = nx.DiGraph(M2)

print('Matrix for Original\n', M)
N = nx.to_numpy_array(D,dtype=int)
print('np_array for Original\n', N)
print('\nMatrix for Transitive Closure\n', MT)
N2 = nx.to_numpy_array(T,dtype=int)
print('np_array for Transitive Closure\n', N2)

show(D) #can use D, T, and numpy matrix power operation
show(T)
show(T)
def format_timestamp(timestamp_epoch):
    """
    Convert epoch timestamp to formatted datetime string without using datetime package.
    
    Args:
        timestamp_epoch (int/float): Unix epoch timestamp (seconds since 1970-01-01 00:00:00 UTC)
        
    Returns:
        str: Formatted datetime string in 'YYYY-MM-DD HH:MM:SS' format
    """
    # Constants for time calculations
    SECONDS_PER_DAY = 86400
    SECONDS_PER_HOUR = 3600
    SECONDS_PER_MINUTE = 60
    
    # Handle negative timestamps and convert to integer
    timestamp = int(timestamp_epoch)
    
    # Calculate days since epoch and remaining seconds
    days_since_epoch = timestamp // SECONDS_PER_DAY
    remaining_seconds = timestamp % SECONDS_PER_DAY
    
    # Calculate hours, minutes, seconds
    hours = remaining_seconds // SECONDS_PER_HOUR
    remaining_seconds %= SECONDS_PER_HOUR
    minutes = remaining_seconds // SECONDS_PER_MINUTE
    seconds = remaining_seconds % SECONDS_PER_MINUTE
    
    # Calculate date (simplified, ignoring leap seconds)
    year = 1970
    days = days_since_epoch
    while days >= 365:
        is_leap = (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0)
        days_in_year = 366 if is_leap else 365
        if days >= days_in_year:
            days -= days_in_year
            year += 1
    
    # Month lengths (non-leap year for simplicity, adjusted later for leap years)
    month_lengths = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
    if (year % 4 == 0 and year % 100 != 0) or (year % 400 == 0):
        month_lengths[1] = 29
    
    month = 0
    while days >= month_lengths[month]:
        days -= month_lengths[month]
        month += 1
    
    # Convert to 1-based indexing for month and day
    month += 1
    day = days + 1
    
    # Format the output string
    return f"{year:04d}-{month:02d}-{day:02d} {hours:02d}:{minutes:02d}:{seconds:02d}"

# Example timestamp (Unix epoch seconds)
timestamp = 1697054700
formatted_date = format_timestamp(timestamp)
print(formatted_date + " UTC")  # Output: 2023-10-11 18:45:00
import os, json, boto3, requests
from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
from random import shuffle

app = Flask(__name__)
cors = CORS(app)

dynamodb = boto3.resource("dynamodb", region_name="us-east-1")

app.url_map.strict_slashes = False
SECRET_KEY = os.environ.get("SECRET_KEY")


@app.route("/teks")
def teks_request():
    teks_file = open("teks.json", "r")
    data = json.load(teks_file)
    return jsonify(data)


@app.route("/teks/find/113.41.<int:teks_id>.<string:section_id>")
def teks_find_request(teks_id, section_id):
    teks_file = open("teks.json", "r")
    data = json.load(teks_file)
    for item in data:
        if item["id"] == teks_id:
            for child in item["children"]:
                if child["id"] == section_id:
                    return {"tek": item, "content": child["content"]}
    return jsonify(
        [
            f"Something went wrong. TEKS section id of {section_id} cannot be found within TEKS section {teks_id}."
        ]
    )

@app.route("/lessonplan/read/<id>")
def read_lesson_plan(id):
    lesson_table = dynamodb.Table("Lesson_Plans")
    items = lesson_table.scan()['Items']
    for lesson in items:
        if (lesson["uuid"] == id):
            return jsonify(lesson)
    return {"error": "id does not exist", "section": id}

@app.route("/teks/<int:teks_id>")
def teks_id_request(teks_id):
    teks_file = open("teks.json", "r")
    data = json.load(teks_file)
    for item in data:
        if item["id"] == teks_id:
            return jsonify(item)
    return jsonify([f"Something went wrong. TEKS id of {teks_id} cannot be found."])


@app.route("/assessment/write", methods=["GET", "POST"])
def assessment_write():
    assessment_json = request.json
    assessment_data = dict(assessment_json)
    assessment_table = dynamodb.Table("Assessments")
    assessment_table.put_item(Item=assessment_data)

    if assessment_data == get_assessment(assessment_data["id"]):
        return "Success"
    else:
        return "Failure"

@app.route("/students/read/<id>")
def students_read(id):
    return jsonify(get_students(id))

@app.route("/students/read")
def all_students_read():
    student_table = dynamodb.Table("Students") 
    items = student_table.scan()['Items']
    return jsonify(items)

@app.route("/assessment/read/<id>")
def assessment_read(id):
    return jsonify(get_assessment(id))


@app.route("/assessment/submit/<id>", methods=["POST"])
def submit_assessment(id):
    assessments_table = dynamodb.Table("Assessments")
    assessment = assessments_table.get_item(Key={"id": id})

    if not assessment.get("Item"):
        return {"error": "id does not exist", "section": id}

    responses = {
        question["id"]: question["response"]
        for question in request.json.get("questions")
    }

    correct_answers = 0

    for response in responses:
        # print(
        #     (
        #         responses[response],
        #         find_question(assessment.get("Item").get("questions"), response).get(
        #             "correctAnswer"
        #         ),
        #     )
        # )
        if responses[response] == find_question(
            assessment.get("Item").get("questions"), response
        ).get("correctAnswer"):

            correct_answers += 1

    score = correct_answers / len(request.json.get("questions"))

    users_table = dynamodb.Table("Students")

    users_table.update_item(
        Key={"uuid": request.json.get("student_id")},
        UpdateExpression="SET completedAssessments = list_append(completedAssessments, :i)",
        ExpressionAttributeValues={
            ":i": [
                {
                    "id": id,
                    "score": round(score * 100),
                }
            ]
        },
    )

    message = None
    if round(score * 100) > 70:
        message = f"Congratulations! You passed your assessment with a {round(score * 100)}%."
    else:
        message = f"You failed your assessment with a {round(score * 100)}%."

    sns = boto3.client("sns", region_name="us-east-1")
    number = "+15125967383"
    sns.publish(PhoneNumber=number, Message=message)

    return {"score": score, "message": message}


def find_question(all, id):
    #print("id to find: ", id)
    for question in all:
        if question["id"] == id:
            #print(question)
            return question


def get_assessment(id):
    assessment_table = dynamodb.Table("Assessments")
    results = assessment_table.get_item(Key={"id": id})

    if results.get("Item") is None:
        return {"error": "id does not exist", "section": id}
    else:
        quiz = results.get("Item")
        return {
            "title": quiz.get("title"),
            "id": quiz.get("id"),
            "questions": [
                {
                    "id": question.get("id"),
                    "title": question.get("title"),
                    "options": random_answers(
                        question.get("incorrectAnswers")
                        + [question.get("correctAnswer")]
                    ),
                }
                for question in quiz.get("questions")
            ],
        }

def get_students(id):
    students_table = dynamodb.Table('Students')
    results = students_table.get_item(Key = {
        "uuid": id
    })

    if(results.get("Item") is None):
        return {'error': 'id does not exist', 'section': id}
    else:
        student = results.get("Item")
        return student

def lesson_plans_read():
    student_table = dynamodb.Table("Lesson_Plans")
    items = student_table.scan()['Items']
    return jsonify(items)

def random_answers(answers):
    shuffle(answers)
    return answers

@app.route("/recommendations/<uuid>")
def get_recommendation(uuid):
    student_info_table = dynamodb.Table('Students')
    lesson_plans_table = dynamodb.Table('Lesson_Plans')
    student = get_students(uuid)
    tek = student.get("struggleTeks")[0]

    lesson_plans = lesson_plans_table.scan( Select='ALL_ATTRIBUTES', FilterExpression='tek = :s', ExpressionAttributeValues={ ":s": tek })

    #print(lesson_plans) 

    return jsonify({"student": student, "lesson_plans": lesson_plans.get("Items")})

if __name__ == "__main__":
    app.run(host="0.0.0.0", debug=True)
import random
import time

def generate_maze(width, height):
    """Generate a random maze using depth-first search"""
    maze = [[1 for _ in range(width)] for _ in range(height)]
    
    def carve(x, y):
        maze[y][x] = 0
        directions = [(1, 0), (-1, 0), (0, 1), (0, -1)]
        random.shuffle(directions)
        
        for dx, dy in directions:
            nx, ny = x + dx*2, y + dy*2
            if 0 <= nx < width and 0 <= ny < height and maze[ny][nx] == 1:
                maze[y + dy][x + dx] = 0
                carve(nx, ny)
    
    carve(1, 1)
    maze[0][1] = 0  # Entrance
    maze[height-1][width-2] = 0  # Exit
    return maze

def print_maze(maze, path=None):
    """Print the maze with ASCII characters"""
    if path is None:
        path = []
    
    for y in range(len(maze)):
        for x in range(len(maze[0])):
            if (x, y) in path:
                print('◍', end=' ')
            elif maze[y][x] == 0:
                print(' ', end=' ')
            else:
                print('▓', end=' ')
        print()

def solve_maze(maze, start, end):
    """Solve the maze using recursive backtracking"""
    visited = set()
    path = []
    
    def dfs(x, y):
        if (x, y) == end:
            path.append((x, y))
            return True
        
        if (x, y) in visited or maze[y][x] == 1:
            return False
            
        visited.add((x, y))
        path.append((x, y))
        
        for dx, dy in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
            if dfs(x + dx, y + dy):
                return True
                
        path.pop()
        return False
    
    dfs(*start)
    return path

# Generate and solve a maze
width, height = 21, 11  # Should be odd numbers
maze = generate_maze(width, height)
start = (1, 0)
end = (width-2, height-1)

print("Generated Maze:")
print_maze(maze)

print("\nSolving Maze...")
time.sleep(2)
path = solve_maze(maze, start, end)

print("\nSolved Maze:")
print_maze(maze, path)