"""
Configuration settings and constants for the Discord Chat Embeddings Visualizer.
"""

# Application settings
APP_TITLE = "Discord Chat Embeddings Visualizer"
APP_ICON = "🗨️"
APP_LAYOUT = "wide"

# File paths
CHAT_LOGS_PATH = "../../discord_chat_logs"

# Algorithm parameters
DEFAULT_RANDOM_STATE = 42
DEFAULT_N_COMPONENTS = 2
DEFAULT_N_CLUSTERS = 5

# Visualization settings
DEFAULT_POINT_SIZE = 8
DEFAULT_POINT_OPACITY = 0.7
MAX_DISPLAYED_AUTHORS = 10
MESSAGE_CONTENT_PREVIEW_LENGTH = 200
MESSAGE_CONTENT_DISPLAY_LENGTH = 100

# Performance thresholds
LARGE_DATASET_WARNING_THRESHOLD = 1000

# Color palettes
PRIMARY_COLORS = ["#1f77b4", "#ff7f0e", "#2ca02c", "#d62728", "#9467bd", 
                  "#8c564b", "#e377c2", "#7f7f7f", "#bcbd22", "#17becf"]

# Clustering method categories
CLUSTERING_METHODS_REQUIRING_N_CLUSTERS = [
    "Spectral Clustering", 
    "Gaussian Mixture", 
    "Agglomerative (Ward)", 
    "Agglomerative (Complete)"
]

COMPUTATIONALLY_INTENSIVE_METHODS = {
    "dimension_reduction": ["t-SNE", "Spectral Embedding"],
    "clustering": ["Spectral Clustering", "OPTICS"]
}

# Method explanations
METHOD_EXPLANATIONS = {
    "dimension_reduction": {
        "PCA": "Linear, fast, preserves global variance",
        "t-SNE": "Non-linear, good for local structure, slower",
        "UMAP": "Balanced speed/quality, preserves local & global structure",
        "Spectral Embedding": "Uses graph theory, good for non-convex clusters",
        "Force-Directed": "Physics-based layout, creates natural spacing"
    },
    "clustering": {
        "HDBSCAN": "Density-based, finds variable density clusters, handles noise",
        "Spectral Clustering": "Uses eigenvalues, good for non-convex shapes",
        "Gaussian Mixture": "Probabilistic, assumes gaussian distributions",
        "Agglomerative (Ward)": "Hierarchical, minimizes within-cluster variance",
        "Agglomerative (Complete)": "Hierarchical, minimizes maximum distance",
        "OPTICS": "Density-based, finds clusters of varying densities"
    },
    "separation": {
        "Spread Factor": "Applies repulsive forces between nearby points",
        "Smart Jittering": "Adds intelligent noise to separate overlapping points",
        "Density-Based Jittering": "Stronger separation in crowded areas",
        "Perplexity Factor": "Controls t-SNE's focus on local vs global structure",
        "Min Distance Factor": "Controls UMAP's point packing tightness"
    },
    "metrics": {
        "Silhouette Score": "Higher is better (range: -1 to 1)",
        "Calinski-Harabasz": "Higher is better, measures cluster separation"
    }
}