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WGU_Truck_Delivery/Truck.py
T
derek.holloway 2301ac357e init commit
2026-01-13 16:03:37 -08:00

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7.0 KiB
Python

import sys
import AssignmentData
import datetime
from MyHashTable import DerekHashTable
from DeliveryObject import DeliveryObject
from DeliveryObject import deliveryStatus
class Truck:
def __init__(self, truckId: str):
self.id = truckId # This trucks ID
self.packages: list[DeliveryObject] = [] # The packages on the truck
self.hasLoad: bool = False # Status of if the truck was loaded
self.mileage = 0.0 # Mileage counter
self.deliveryCounter = 0 # Keep track of the delivery counter
self.current_location = "HUB" # Current location of the truck
self.speed = 18 # Set from the project instructions
self.startTime: datetime.time | None = None # The trucks start time
def addPkg(self, pkg: DeliveryObject): # Adds a package to the truck
if len(self.packages) < 16: # Check if we can fit another package
pkg.timeStart = self.getTimeOfDay() # Set the start time for the pkg
pkg.truckId = self.id # Set the truck ID for the end menu
pkg.status = deliveryStatus.IN_ROUTE # The package is on the truck
self.packages.append(pkg) # Add the package
else:
print("to many packages loaded on the truck") # If there are too many packages
sys.exit() # Crash the program
def getDriveTime(self) -> int: # Usefull outside this class
hourPercent = self.mileage / self.speed # Calculate the hour percentage
rounededMin = int(60 * hourPercent) # Average that into minutes
return rounededMin
def getTimeOfDay(self) -> datetime.time: # Get the time of day using offsets
truckStartMins = (self.startTime.hour * 60) + self.startTime.minute # Get the minutes past midnight when the truck left
offsetMinutes = truckStartMins + self.getDriveTime() # Add on the number of minutes the truck as been driving
pkgHours = (offsetMinutes // 60) % 24 # pull hours back out
pkgMins = offsetMinutes % 60 # pull minutes back out
return datetime.time(pkgHours, pkgMins) # return the time of day
def deliverPkgs(self): # Delivers any packeges that match the current location
for i in range(len(self.packages) - 1, -1, -1): # Loop backwards so removals dont index shift
if self.packages[i].address in self.current_location: # Check if the package is at the correct address
self.packages[i].status = deliveryStatus.DELIVERED # Mark as delivered
self.packages[i].timeEnd = self.getTimeOfDay() # Mark the delivered time
self.deliveryCounter += 1 # Incriment the delivery counter
self.packages[i].deliveryNumber = self.deliveryCounter # Mark the package number
self.packages.remove(self.packages[i]) # Remove the package from the truck
def getMatrixIndex(self, address_string: str) -> int: # Helper function to get x or y offset in the distance table
for i, full_name in enumerate(AssignmentData.xyNames2): # Loop through the names in the list
if address_string in full_name: # Check if the name matches
return i # Return the index
for i, full_name in enumerate(AssignmentData.xyNames): # Loop through the names in the list
if address_string in full_name: # Check if the name matches
return i # Return the index
print(f"Address {address_string} is not in Full List") # Report items not found in the list
return 0 # Default to Hub if not found
def driveNextClosest(self, priority: DerekHashTable) -> int: # The bread and butter of the algorithm
# deal with priority
priorityPkgs = [] # set the packages we currently want to look for
for cur in self.packages: # loop thorugh looking for priority matches
if priority.getItem(cur.id):
priorityPkgs.append(cur) # if a priority matches add it to the list
if not priorityPkgs: # if no priority matches just use the normal
priorityPkgs = self.packages
# get the next closest
shortest_dist = float('inf') # Start with a very long distance to work backwards from
next_pkg = None # Keep track of the closest pkg
current_idx = self.getMatrixIndex(self.current_location) # Get the trucks xyIndex
for pkg in priorityPkgs: # Loop through the packages
dest_idx = self.getMatrixIndex(pkg.address) # Get the package xyIndex
row = max(current_idx, dest_idx) # Becuase the distance table is a triange
col = min(current_idx, dest_idx) # Keep on the buttom left side
dist = AssignmentData.distanceChart[row][col] # Get the distance from the grid
if dist < shortest_dist: # If the distance is shorter than the one found
shortest_dist = dist # Update the distance and package
next_pkg = pkg
# drive
self.mileage += shortest_dist # Add this shortest distance to the truck
self.current_location = next_pkg.address # update the location
self.deliverPkgs() # deliver packages at this location
if len(self.packages) == 0: # if there is no packages
self.hasLoad = False # Set the load to empty
return len(self.packages) # return packages left to deliver