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Finish MOC implementation

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Alexandre CATTEAU 2024-05-20 16:33:11 +02:00
parent 0fa163b6ed
commit 1b4ac353fd
1 changed files with 37 additions and 22 deletions
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59
src/moc-tracking.py
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@ -1,3 +1,4 @@
import os
import random
class City:
@ -44,7 +45,7 @@ class Board:
neighbors = "Detroit", "Pittsburgh", "Lewisburg", "Knoxville", "Nashville"
self.cities.append(City("Cincinnati", neighbors))
#neighbors = "Detroit", "Cincinnati", "St Louis", "Davenport", "St Paul", "Duluth"
neighbors = "Detroit", "Cincinnati", "Davenport"
neighbors = "Detroit", "Cincinnati"
self.cities.append(City("Chicago", neighbors))
neighbors = "Pittsburgh", "Baltimore", "Norfolk", "Charlotte", "Knoxville", "Cincinnati"
self.cities.append(City("Lewisburg", neighbors))
@ -58,8 +59,8 @@ class Board:
self.cities.append(City("Savannah", neighbors))
# The South (4 cities)
#neighbors = "Cincinnati", "Atlanta", "New Orleans", "Little Rock", "St Louis"
neighbors = "Cincinnati", "Atlanta", "New Orleans"
#neighbors = "Cincinnati", "Knoxville", "Atlanta", "New Orleans", "Little Rock", "St Louis"
neighbors = "Cincinnati", "Knoxville", "Atlanta", "New Orleans"
self.cities.append(City("Nashville", neighbors))
neighbors = "Charlotte", "Charleston", "Savannah", "Mobile", "Nashville", "Knoxville"
self.cities.append(City("Atlanta", neighbors))
@ -117,32 +118,46 @@ class MamaOConnel:
# We need at least 3 accesses to the city, to provide hints through different axes (but even cities with 3 accesses
# can generate a triangle (like Bangor or Tampa), hence the need for 4 accesses)
# It could be more proper to have a dedicated method to check if a city can be the location (using distance?)
while len(self.location.neighbors) < 4:
# Moreover, due to their location and their corner neighbors, Montreal and Jacksonville can never have enough hints
# TODO Buffalo sometimes runs in an infinte loop as well; check if still the case after we finished adding cities
while len(self.location.neighbors) < 4 or self.location.name in ("Montreal", "Jacksonville"):
self.location = self.board.cities[random.randint(0, len(self.board.cities) - 1)]
print("location = " + self.location.name)
hints = [], [], []
hintsDistance = 3, 3, 2 # TODO randomize
for h in range(0, 3):
city = self.board.getCityByName(self.location.neighbors[random.randint(0, len(self.location.neighbors) - 1)])
if h == 1:
while city in hints[0]:
# Next hop(s) of hint
#for i in range(0, hintsDistance[h] - 1):
i = -1
while i < hintsDistance[h] - 1:
if i == -1:
# First hop of hint
city = self.board.getCityByName(self.location.neighbors[random.randint(0, len(self.location.neighbors) - 1)])
if h == 2:
while city in hints[0] or city in hints[1]:
city = self.board.getCityByName(self.location.neighbors[random.randint(0, len(self.location.neighbors) - 1)])
print("Hint " + str(h + 1) + ": step 1: " + city.name)
hints[h].append(city)
for i in range(0, hintsDistance[h] - 1):
city = self.board.getCityByName(hints[h][i].neighbors[random.randint(0, len(hints[h][i].neighbors) - 1)])
while self.board.distance(city, self.location) < i + 2 or h >= 1 and city in hints[0] or h == 2 and city in hints[1]:
if h == 1:
while city in hints[0]:
city = self.board.getCityByName(self.location.neighbors[random.randint(0, len(self.location.neighbors) - 1)])
if h == 2:
while city in hints[0] or city in hints[1]:
city = self.board.getCityByName(self.location.neighbors[random.randint(0, len(self.location.neighbors) - 1)])
hints[h].insert(0, city)
i = 0
else:
do = True
city = self.board.getCityByName(hints[h][i].neighbors[random.randint(0, len(hints[h][i].neighbors) - 1)])
print("Hint " + str(h + 1) + ": step " + str(i + 2) + ": " + city.name)
hints[h].append(city)
print("FINISH")
print("Hideout was: " + self.location.name)
for hint in hints:
print(hint[-1].name)
counter = 0
while self.board.distance(city, self.location) < i + 2 or h >= 1 and city in hints[0] or h == 2 and city in hints[1]:
if counter > len(hints[h][i].neighbors) + 5: # arbitrary failsafe
i = i - 1
do = False
hints[h].pop()
break
city = self.board.getCityByName(hints[h][i].neighbors[random.randint(0, len(hints[h][i].neighbors) - 1)])
counter = counter + 1
if do:
hints[h].insert(i + 1, city)
i = i + 1
# at the end of generation, board and cities should be dropped (no use to keep them in saved data)