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pe_events.py
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413 lines (266 loc) · 12.5 KB
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import json
import time
import pe_api
import copy
import random
def get_event_data(event: str):
with open(f"events/{event}/data.json", "r") as f:
content = json.loads(f.read())
return content
def push_event_data(event: str, data: dict):
with open(f"events/{event}/data.json", "w") as f:
f.write(json.dumps(data, indent=4))
class eventSoPE:
def __init__(self) -> None:
self.data = get_event_data("SoPE")
def is_problem_solved(self, problem: int) -> bool:
return str(problem) in self.data["solves"].keys()
def get_solver(self, problem: int) -> tuple:
if not self.is_problem_solved(problem):
return None
return self.data["solves"][str(problem)].values()
def set_solver(self, problem: int, username: str, timestamp: int) -> None:
self.data["solves"][str(problem)] = {"username": username, "timestamp": timestamp}
push_event_data("SoPE", self.data)
def set_solver_option(self, problem: int, username: str, timestamp: int) -> None:
if not self.is_problem_solved(problem):
self.set_solver(problem, username, timestamp)
def starting_timestamp(self):
return self.data["timestamp_start"]
def scores(self):
problems = pe_api.Problem.complete_list()
score_list = {}
problem: pe_api.Problem
for problem in problems:
problem_id = problem.problem_id
if not self.is_problem_solved(problem_id):
continue
solver_name, timestamp = self.get_solver(problem_id)
time_to_solve = timestamp - self.starting_timestamp()
difficulty = problem.difficulty() if problem.difficulty_is_defined() else 70
difficulty_score = max(5, (difficulty // 15) * 5)
day_score = time_to_solve // 86400
if solver_name not in score_list:
score_list[solver_name] = 0
score_list[solver_name] += day_score + difficulty_score
return score_list
class eventMonthly1:
@staticmethod
def get_refresh_rate_easy():
return 22 * 3600
@staticmethod
def get_refresh_rate_medium():
return 46 * 3600
@staticmethod
def get_refresh_rate_hard():
return 70 * 3600
def __init__(self) -> None:
self.event_name = "monthly1"
self.data = get_event_data(self.event_name)
self.announce_channel_name = "private-bot"
def past_problems(self) -> list:
return list(map(int, self.data["solves"].keys()))
def current_problem(self, diff_range: int) -> int:
return int(self.data[["easy", "medium", "hard"][diff_range]]["current_problem"])
def last_announcement(self, diff_range: bool) -> int:
return int(self.data[["easy", "medium", "hard"][diff_range]]["last_timestamp"])
def switch_to_new_problem(self, diff_range: int):
"""
Returns an announcement message, that will go up the function calls tree, until it reaches
pe_discord_api.py, to be announced in channels
"""
max_problem = pe_api.last_problem()
choice = -1
already_used = self.past_problems()
problems = pe_api.Problem.complete_list()
while True:
choice = random.randint(1, max_problem)
if choice == -1 or choice in already_used:
continue
current_problem: pe_api.Problem = problems[choice - 1]
if not current_problem.difficulty_is_defined():
continue
if diff_range == 0 and not (current_problem.difficulty() <= 40):
continue
if diff_range == 1 and not (45 <= current_problem.difficulty() <= 75):
continue
if diff_range == 2 and not (current_problem.difficulty() >= 80):
continue
break
difficulty_text = ["easy", "medium", "hard"][diff_range]
difficulty_category_text = f" with difficulty `{difficulty_text}`"
announce_message_text = f"Switching to a new problem for the current event {difficulty_category_text}\
: be the first to solve [**{choice}**](<https://projecteuler.net/problem={choice}>): '{current_problem.name()}'!"
self.data["solves"][str(choice)] = {
"solver_username": "None",
"timestamp_announced": str(int(time.time())),
"timestamp_solved": "-1"
}
self.data[difficulty_text]["last_timestamp"] = str(int(time.time()))
self.data[difficulty_text]["current_problem"] = str(choice)
push_event_data(self.event_name, self.data)
return [announce_message_text]
def current_problem_solved_by(self, member: pe_api.Member, diff_range: int):
current = self.current_problem(diff_range=diff_range)
self.data["solves"][str(current)]["timestamp_solved"] = str(int(time.time()))
self.data["solves"][str(current)]["solver_username"] = member.username()
problem = pe_api.Problem.complete_list()[current - 1]
push_event_data(self.event_name, self.data)
previous_message = self.switch_to_new_problem(diff_range)
announced_message_text = f"User {member.username_ping()} just solved problem {current}! " + previous_message[0]
return [announced_message_text]
def scores(self):
members = {}
problems = pe_api.Problem.complete_list()
solves = self.data["solves"]
for key in solves.keys():
username = solves[key]["solver_username"]
if username == "None":
continue
credited_points = 20 + (int(solves[key]["timestamp_solved"]) - int(solves[key]["timestamp_solved"])) // 3600
if problems[int(key) - 1].difficulty() >= 80:
credited_points *= 3
elif problems[int(key) - 1].difficulty() >= 45:
credited_points *= 2
if username in members:
members[username] += credited_points
else:
members[username] = credited_points
return sorted(list(members.items()), key=lambda el: el[1], reverse=True)
@staticmethod
def update_event(profiles):
event = eventMonthly1()
messages_to_send = []
profile: pe_api.Member
for profile in profiles:
member: pe_api.Member = profile["member"]
solves = profile["solves"]
awards = profile["awards"]
if event.current_problem(diff_range=0) in solves:
for message in event.current_problem_solved_by(member, diff_range=0):
messages_to_send.append((message, "TEST_CHANNEL"))
if event.current_problem(diff_range=1) in solves:
for message in event.current_problem_solved_by(member, diff_range=1):
messages_to_send.append((message, "TEST_CHANNEL"))
if event.current_problem(diff_range=2) in solves:
for message in event.current_problem_solved_by(member, diff_range=2):
messages_to_send.append((message, "TEST_CHANNEL"))
return messages_to_send
@staticmethod
def update_events_without_profiles():
event = eventMonthly1()
messages_to_send = []
if int(time.time()) - event.last_announcement(diff_range=0) > eventMonthly1.get_refresh_rate_easy():
for message in event.switch_to_new_problem(diff_range=0):
messages_to_send.append((message, "TEST_CHANNEL"))
if int(time.time()) - event.last_announcement(diff_range=1) > eventMonthly1.get_refresh_rate_medium():
for message in event.switch_to_new_problem(diff_range=1):
messages_to_send.append((message, "TEST_CHANNEL"))
if int(time.time()) - event.last_announcement(diff_range=2) > eventMonthly1.get_refresh_rate_hard():
for message in event.switch_to_new_problem(diff_range=2):
messages_to_send.append((message, "TEST_CHANNEL"))
return messages_to_send
@staticmethod
def leaderboard():
event = eventMonthly1()
scores = event.scores()
leaderboard_data = [(element[0], element[1]) for element in scores]
return leaderboard_data
class eventSmoothen:
@staticmethod
def get_smooth_score(solve_list: list) -> float:
"""
takes a list of solves, an array of booleans
"""
def perimeter(solve_list: list) -> int:
total = 0
for index, was_solved in enumerate(solve_list, start=1):
if not was_solved:
continue
total += 4
if ((index - 1) % 100 + 1) > 10:
neighbor = index - 10 - 1
if neighbor < len(solve_list) and solve_list[neighbor]:
total -= 1
if ((index - 1) % 10 + 1) < 10:
neighbor = index + 1 - 1
if neighbor < len(solve_list) and solve_list[neighbor]:
total -= 1
if ((index - 1) % 100 + 1) < 90:
neighbor = index + 10 - 1
if neighbor < len(solve_list) and solve_list[neighbor]:
total -= 1
if ((index - 1) % 10 + 1) > 1:
neighbor = index - 1 - 1
if neighbor < len(solve_list) and solve_list[neighbor]:
total -= 1
return total
def area(solve_list: list) -> int:
return solve_list.count(True)
ar = area(solve_list)
pr = perimeter(solve_list)
if pr == 0:
return 0
return 10000 * ar / pr
def __init__(self) -> None:
self.event_name = "smoothen"
self.data = get_event_data(self.event_name)
self.announce_channel_name = "private-bot"
@staticmethod
def update_event_in_message(member: pe_api.Member, problem_id):
if member.private():
return ""
ev = eventSmoothen()
data = get_event_data(ev.event_name)
current_solve_array = member.solve_array()
previous_solve_array = copy.deepcopy(current_solve_array)
previous_solve_array[problem_id - 1] = False
previous_score = eventSmoothen.get_smooth_score(previous_solve_array)
current_score = eventSmoothen.get_smooth_score(current_solve_array)
difference = int(current_score) - int(previous_score)
does_match = lambda element: element["username"] == member.username_option() and element["problem_id"] == problem_id
if not any(list(map(does_match, data["solves"]))):
data["solves"].append({
"username": member.username_option(),
"problem_id": problem_id,
"timestamp": int(time.time()),
"points_earned": difference
})
push_event_data(ev.event_name, data)
if difference > 0:
return f"(+{difference})"
else:
return ""
return f"(-{-difference})"
@staticmethod
def update_event(profiles):
return []
@staticmethod
def update_events_without_profiles():
return []
@staticmethod
def leaderboard():
ev = eventSmoothen()
data = get_event_data(ev.event_name)
points_earned_by_username = {}
for solve in data["solves"]:
username = solve["username"]
points = solve["points_earned"]
if points < 0:
continue
if username in points_earned_by_username.keys():
points_earned_by_username[username] += points
else:
points_earned_by_username[username] = points
return [(username, points_earned_by_username[username]) for username in points_earned_by_username.keys()]
def update_events_without_profiles():
messages_to_send = []
# messages_to_send += eventMonthly1.update_events_without_profiles()
return messages_to_send
def update_events(profiles):
messages_to_send = []
# messages_to_send += eventMonthly1.update_event(profiles)
messages_to_send += eventSmoothen.update_event(profiles)
return messages_to_send
if __name__ == "__main__":
pass