Files
agon/utilities/data_storage.py
T

80 lines
2.2 KiB
Python

"""Functions for retreiving and storing highscores data and configurations."""
import os
import json
HIGHSCORES_CONFIG_FILE = "highscores_config.json"
HIGHSCORES_DATA_FILE = "highscores_data.json"
def create_highscore_skeleton() -> dict:
"""
Creates a skeleton entry for new highscores data
@return: dict skeleton entry
"""
# create the dict
skeleton = {"highscore_channel_id": -1, "verification_channel_id": -1, "username_length": 12}
config: dict = open_highscores_config()
skeleton["tables"] = {}
for boss, categories in config["tables"].items():
skeleton["tables"][boss] = {"message_id": 0}
boss_categories = {}
for category in categories:
rank_list = []
boss_categories[category] = rank_list
skeleton["tables"][boss]["categories"] = boss_categories
return skeleton
def create_message_map(data: dict):
"""
Creates a message map from input highscores data.
@param data: highscores_data dict to create map from.
@return: dict message_map of message to boss.
"""
message_map = {}
# guild id will be a string. Json object keys are strings.
for guild, guild_scores in data.items():
message_map[guild] = {}
for boss, info in guild_scores["tables"].items():
message_map[guild][info["message_id"]] = boss
return message_map
def open_highscores_config():
"""
Opens the highscores config file and returns.
@return: dict of highscores config.
"""
# Load bot config
with open(HIGHSCORES_CONFIG_FILE, encoding="utf-8", mode="r") as file:
return json.load(file)
def open_highscores_data():
"""
Opens a highscores_data.json file if one exists, otherwise returns empty dict.
@return: dict of highscores data.
"""
if os.path.exists(HIGHSCORES_DATA_FILE):
with open(HIGHSCORES_DATA_FILE, encoding="utf-8", mode="r") as file:
data = json.load(file)
else:
data = {}
return data
def save_highscores_data(data: dict):
"""
Saves the highscores data dict into a json file.
@param data: dict of highscores data.
"""
with open(HIGHSCORES_DATA_FILE, encoding="utf-8", mode="w") as file:
file.write(json.dumps(data, indent=4))