121 lines
2.7 KiB
Python
121 lines
2.7 KiB
Python
from typing import Dict, List, Set
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# In-Memory Data Stores
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# Since this app is ephemeral, we use global dictionaries instead of a database.
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user_sessions: Dict[str, dict] = {} # {username: {'key': str, 'last_active': str}}
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messages: Dict[str, List[dict]] = {} # {room_name: [{'username': str, 'text': str, 'timestamp': str}]}
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room_users: Dict[str, Dict[str, str]] = {} # {room_name: {username: last_active_timestamp}}
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banned_ips: Set[str] = set()
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banned_usernames: Set[str] = set()
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user_ips: Dict[str, str] = {} # {username: ip_address}
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kicked_users: Dict[str, Set[str]] = {} # {room_name: {kicked_username}}
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room_owners: Dict[str, str] = {} # {room_name: owner_username}
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public_chat_rooms: List[str] = [] # List of user-created public room names
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video_state: Dict[str, dict] = {} # {room_name: {'url': str, 'started_at': str}}
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nuked_rooms: Dict[str, float] = {} # {room_name: expiry_timestamp_epoch}
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regional_chat_rooms = [
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"Alabama",
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"Alaska",
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"Arizona",
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"Arkansas",
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"California",
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"Colorado",
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"Connecticut",
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"Delaware",
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"Florida",
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"Georgia",
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"Hawaii",
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"Idaho",
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"Illinois",
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"Indiana",
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"Iowa",
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"Kansas",
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"Kentucky",
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"Louisiana",
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"Maine",
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"Maryland",
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"Massachusetts",
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"Michigan",
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"Minnesota",
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"Mississippi",
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"Missouri",
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"Montana",
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"Nebraska",
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"Nevada",
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"New Hampshire",
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"New Jersey",
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"New Mexico",
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"New York",
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"North Carolina",
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"North Dakota",
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"Ohio",
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"Oklahoma",
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"Oregon",
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"Pennsylvania",
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"Rhode Island",
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"South Carolina",
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"South Dakota",
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"Tennessee",
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"Texas",
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"Utah",
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"Vermont",
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"Virginia",
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"Washington",
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"West Virginia",
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"Wisconsin",
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"Wyoming",
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]
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topical_chat_rooms = [
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"Tech",
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"Science",
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"Gaming",
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"Movies",
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"Music",
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"Books",
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"Current Events",
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"Sports",
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"Travel",
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"Food & Cooking",
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"Health & Fitness",
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"History",
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"Programming",
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"Investing",
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"Cryptocurrency",
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"Parenting",
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"DIY & Home Improvement",
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"Photography",
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"Fashion",
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"Automotive",
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"Theater & Performing Arts",
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"Pets & Animals",
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"Space Exploration",
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"Climate Change",
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"Entrepreneurship",
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"Relationships",
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"Comics & Manga",
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"Anime",
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"Board Games",
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"Card Games",
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"Tabletop RPGs",
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"Language Learning",
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"Economics",
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"Politics",
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"Fan Theories",
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"Science Fiction",
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"Fantasy",
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"Artificial Intelligence",
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"Web Development",
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"Mobile Apps",
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"Cybersecurity",
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"3D Printing",
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"Virtual Reality",
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"Augmented Reality",
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"Home Automation",
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"Sustainable Living",
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]
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import sys
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from models.database import load_persisted_state
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load_persisted_state(sys.modules[__name__])
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