from enum import Enum


class Navigation(Enum):
    TEXT_LEADERBOARD = "Text Leaderboard"
    MULTIMODAL_LEADERBOARD = "Multimodal Leaderboard"


class TaskCategory(Enum):
    LAW = "Law"
    CODE = "Code"
    CONVERSATIONAL = "Conversational"
    TECH = "Tech"
    LONG_CONTEXT = "Long-context"
    MULTILINGUAL = "Multilingual"


class ModelProvider(Enum):
    OPENAI = "OpenAI"
    VOYAGEAI = "VoyageAI"
    COHERE = "Cohere"
    OTHERS = "Others"


class EvaluationMetric(Enum):
    NDCG_1 = "NDCG@1"
    NDCG_3 = "NDCG@3"
    NDCG_5 = "NDCG@5"
    NDCG_10 = "NDCG@10"
    NDCG_20 = "NDCG@20"
    NDCG_50 = "NDCG@50"
    NDCG_100 = "NDCG@100"
    RECALL_1 = "RECALL@1"
    RECALL_3 = "RECALL@3"
    RECALL_5 = "RECALL@5"
    RECALL_10 = "RECALL@10"
    RECALL_20 = "RECALL@20"
    RECALL_50 = "RECALL@50"
    RECALL_100 = "RECALL@100"
    PRECISION_1 = "PRECISION@1"
    PRECISION_3 = "PRECISION@3"
    PRECISION_5 = "PRECISION@5"
    PRECISION_10 = "PRECISION@10"
    PRECISION_20 = "PRECISION@20"
    PRECISION_50 = "PRECISION@50"
    PRECISION_100 = "PRECISION@100"


class EmbdDtype(Enum):
    ALL = "all"
    FLOAT_32 = "float32"
    INT_8 = "int8"
    BINARY = "binary"


class EmbdDim(Enum):
    OP1 = "<=1k"
    OP2 = "1k-2k"
    OP3 = "2k-5k"
    OP4 = ">=5k"


class Similarity(Enum):
    ALL = "all"
    COSINE = "cosine"
    DOT = "dot"
    EUCLIDEAN = "euclidean"


LEADERBOARD_ICON_MAP = {
    "Text Leaderboard": "📚",
    "Law": "⚖️",
    "Multilingual": "🌎",
    "German": "🇩🇪",
    "Code": "💻",
    "Tech": "🛠️",
    "Legal": "📜",
    "English": "🇬🇧",
    "Healthcare": "🏥",
    "Finance": "💰",
    "French": "🇫🇷",

}


USERNAME = "embedding-benchmark"
SPACENAME = "ebr"
# https://{UserName}-{SpaceName}.hf.space/
BASE_URL = f"https://{USERNAME}-{SPACENAME}.hf.space/"