# vocabulary.py
"""
Defines the vocabulary and mappings for categorical features.
"""

# --- Event Type Mappings ---
EVENT_NAMES = [
    '__PAD__', 'Chart_Segment', 'Mint', 
    'Transfer', 'LargeTransfer', 
    'Trade', 
    'Deployer_Trade',
    'SmartWallet_Trade',
    'LargeTrade',
    'PoolCreated',
    'LiquidityChange',
    'FeeCollected',
    'TokenBurn',
    'SupplyLock',
    'OnChain_Snapshot',
    'HolderSnapshot',
    'TrendingToken',
    'BoostedToken',
    'XPost',
    'XRetweet',
    'XReply',
    'XQuoteTweet',
    'PumpReply',
    'DexBoost_Paid',
    'DexProfile_Updated',
    'AlphaGroup_Call',
    'Channel_Call',
    'CexListing',
    'TikTok_Trending_Hashtag',
    'XTrending_Hashtag',
    'ChainSnapshot',
    'Lighthouse_Snapshot',
    'Migrated',
    'MIDDLE',
    'RECENT'
]
EVENT_TO_ID = {name: i for i, name in enumerate(EVENT_NAMES)}
ID_TO_EVENT = {i: name for i, name in enumerate(EVENT_NAMES)}
NUM_EVENT_TYPES = len(EVENT_NAMES)

# --- Protocol Mappings ---

# The canonical list of protocol names
PROTOCOL_NAMES = [
    "Unknown",
    "Pump V1",
    "Pump AMM",
    "Bonk",
    "Raydium CPMM"
]

PROTOCOL_TO_ID = {name: i for i, name in enumerate(PROTOCOL_NAMES)}
ID_TO_PROTOCOL = {i: name for i, name in enumerate(PROTOCOL_NAMES)}
NUM_PROTOCOLS = len(PROTOCOL_NAMES)


# --- Neo4J Link Type Mappings ---
# UPDATED: Added link types from your Neo4j schema
LINK_TYPES = [
    "TransferLink",
    "TransferLinkToken",
    "BundleTradeLink",
    "CopiedTradeLink",
    "CoordinatedActivityLink",
    "MintedLink",
    "SnipedLink",
    "LockedSupplyLink",
    "BurnedLink",
    "ProvidedLiquidityLink",
    "WhaleOfLink",
    "TopTraderOfLink",
]

LINK_TYPE_TO_ID = {name: i for i, name in enumerate(LINK_TYPES)}
ID_TO_LINK_TYPE = {i: name for i, name in enumerate(LINK_TYPES)}
NUM_LINK_TYPES = len(LINK_TYPES)

LINK_NAME_TO_TRIPLET = {
    # Wallet <-> Wallet Links
    "TransferLink": ('wallet', 'TransferLink', 'wallet'),
    "BundleTradeLink": ('wallet', 'BundleTradeLink', 'wallet'),
    "CopiedTradeLink": ('wallet', 'CopiedTradeLink', 'wallet'),
    "CoordinatedActivityLink": ('wallet', 'CoordinatedActivityLink', 'wallet'),

    # Wallet -> Token Links
    "TransferLinkToken": ('wallet', 'TransferLinkToken', 'token'),
    "MintedLink": ('wallet', 'MintedLink', 'token'),
    "SnipedLink": ('wallet', 'SnipedLink', 'token'),
    "LockedSupplyLink": ('wallet', 'LockedSupplyLink', 'token'),
    "BurnedLink": ('wallet', 'BurnedLink', 'token'),
    "ProvidedLiquidityLink": ('wallet', 'ProvidedLiquidityLink', 'token'),
    "WhaleOfLink": ('wallet', 'WhaleOfLink', 'token'),
    "TopTraderOfLink": ('wallet', 'TopTraderOfLink', 'token'),
}


# --- NEW: OHLC Interval Mappings ---
OHLC_INTERVALS = [
    "Unknown", # ID 0
    "1s",      # ID 1
    "30s",     # ID 2
]

INTERVAL_TO_ID = {name: i for i, name in enumerate(OHLC_INTERVALS)}
ID_TO_INTERVAL = {i: name for i, name in enumerate(OHLC_INTERVALS)}
NUM_OHLC_INTERVALS = len(OHLC_INTERVALS)

DEX_NAMES = [
    "Unknown",
    "Axiom",
    "Bullx",
    "OXK",
    "Trojan",
    "Jupyter"
]

DEX_TO_ID  = {name: i for i, name in enumerate(DEX_NAMES)}
ID_TO_DEX  = {i: name for i, name in enumerate(DEX_NAMES)}
NUM_DEX_PLATFORMS = len(DEX_NAMES)

# --- NEW: Trending List Source Mappings ---
TRENDING_LIST_SOURCES = [
    "Unknown",
    "Phantom",
    "Dexscreener"
]

TRENDING_LIST_SOURCE_TO_ID = {name: i for i, name in enumerate(TRENDING_LIST_SOURCES)}
ID_TO_TRENDING_LIST_SOURCE = {i: name for i, name in enumerate(TRENDING_LIST_SOURCES)}
NUM_TRENDING_LIST_SOURCES = len(TRENDING_LIST_SOURCES)

# --- NEW: Trending List Timeframe Mappings ---
TRENDING_LIST_TIMEFRAMES = [
    "Unknown",
    "5m",
    "1h",
    "24h"
]
TRENDING_LIST_TIMEFRAME_TO_ID = {name: i for i, name in enumerate(TRENDING_LIST_TIMEFRAMES)}
ID_TO_TRENDING_LIST_TIMEFRAME = {i: name for i, name in enumerate(TRENDING_LIST_TIMEFRAMES)}
NUM_TRENDING_LIST_TIMEFRAMES = len(TRENDING_LIST_TIMEFRAMES)

# --- NEW: Lighthouse Snapshot Timeframe Mappings ---
LIGHTHOUSE_TIMEFRAMES = [
    "Unknown",
    "5m",
    "1h",
    "6h",
    "24h"
]
LIGHTHOUSE_TIMEFRAME_TO_ID = {name: i for i, name in enumerate(LIGHTHOUSE_TIMEFRAMES)}
NUM_LIGHTHOUSE_TIMEFRAMES = len(LIGHTHOUSE_TIMEFRAMES)

# --- NEW: TrackerEncoder Vocabularies ---

# Alpha Groups (Discord)
ALPHA_GROUPS = [
    "unknown",
    "Potion",
    "Serenity",
    "Digi World"
]
ALPHA_GROUPS_TO_ID = {name: i for i, name in enumerate(ALPHA_GROUPS)}
ID_TO_ALPHA_GROUPS = {i: name for i, name in enumerate(ALPHA_GROUPS)}
NUM_ALPHA_GROUPS = len(ALPHA_GROUPS)

# Call Channels (Telegram)
CALL_CHANNELS = [
    "unknown",
    "MarcosCalls",
    "kobecalls",
    "DEGEMSCALLS"
]
CALL_CHANNELS_TO_ID = {name: i for i, name in enumerate(CALL_CHANNELS)}
ID_TO_CALL_CHANNELS = {i: name for i, name in enumerate(CALL_CHANNELS)}
NUM_CALL_CHANNELS = len(CALL_CHANNELS)

# CEX Exchanges
EXCHANGES = [
    "unknown", "mexc", "weex", "binance", "kraken"
]
EXCHANGES_TO_ID = {name: i for i, name in enumerate(EXCHANGES)}
ID_TO_EXCHANGES = {i: name for i, name in enumerate(EXCHANGES)}
NUM_EXCHANGES = len(EXCHANGES)

# Return buckets used across analysis/scoring scripts.
# Split 3x-10x into 3x-5x and 5x-10x to reduce within-bucket heterogeneity.
RETURN_THRESHOLDS = [0, 3, 5, 10, 20, 100, 10000]
NUM_RETURN_CLASSES = len(RETURN_THRESHOLDS) - 1

# Manipulated (High return but suspicious metrics). Keep this as "after all return buckets".
MANIPULATED_CLASS_ID = NUM_RETURN_CLASSES