import { Prompt } from "@prisma/client"

export interface VariableSchema {
    name: string
    type: "text" | "textarea" | "dropdown" | "number" | "boolean"
    label: string
    placeholder?: string
    description?: string
    required?: boolean
    default?: string | number | boolean
    options?: string[] // For dropdown type
    min?: number // For number type
    max?: number // For number type
}

export interface PromptSchema {
    variables: VariableSchema[]
    output?: {
        format: "markdown" | "text" | "code"
        streaming: boolean
    }
}

export interface PromptWithCreator extends Prompt {
    creator: {
        id: string
        name: string | null
        username: string | null
        image: string | null
    } | null
    parent?: {
        id: string
        slug: string
        title: string
    } | null
    _count?: {
        remixes: number
        stars: number
    }
}

export interface RunConfig {
    promptId: string
    template: string
    variables: Record<string, string | number | boolean>
    model: string
    maxTokens?: number
}

// Cloud AI Model configurations
export const AI_MODELS = {
    "gemini-2.5-flash": {
        name: "Gemini 2.5 Flash",
        provider: "google",
        description: "Latest & fastest Gemini model",
        maxTokens: 8192,
    },
    "gemini-2.0-flash": {
        name: "Gemini 2.0 Flash",
        provider: "google",
        description: "Fast multimodal",
        maxTokens: 4096,
    },
    "gpt-4o-mini": {
        name: "GPT-4o Mini",
        provider: "openai",
        description: "Fast and affordable",
        maxTokens: 4096,
    },
    "gpt-4o": {
        name: "GPT-4o",
        provider: "openai",
        description: "Most capable GPT",
        maxTokens: 4096,
    },
    "claude-3-5-sonnet": {
        name: "Claude 3.5 Sonnet",
        provider: "anthropic",
        description: "Great for long content",
        maxTokens: 4096,
    },
} as const

// Ollama Model configurations (local models)
export const OLLAMA_MODELS = {
    // Vision-Language Models
    "qwen3-vl:2b": { name: "Qwen3-VL 2B", description: "Smallest vision-language model", maxTokens: 4096 },
    "qwen3-vl:4b": { name: "Qwen3-VL 4B", description: "Compact vision-language model", maxTokens: 4096 },
    "qwen3-vl:8b": { name: "Qwen3-VL 8B", description: "Balanced vision-language model", maxTokens: 4096 },
    "qwen3-vl:30b": { name: "Qwen3-VL 30B", description: "Powerful vision-language model", maxTokens: 8192 },

    // Coding Models
    "devstral-small-2:24b": { name: "Devstral Small 2", description: "24B coding agent model", maxTokens: 8192 },
    "qwen3-coder:30b": { name: "Qwen3 Coder 30B", description: "Coding & agentic tasks", maxTokens: 8192 },
    "rnj-1:8b": { name: "RNJ-1 8B", description: "Code & STEM optimized", maxTokens: 4096 },

    // General Models
    "gemma3:12b": { name: "Gemma 3 12B", description: "Capable single GPU model", maxTokens: 4096 },
    "gemma3:27b": { name: "Gemma 3 27B", description: "Largest Gemma model", maxTokens: 4096 },
    "ministral-3:3b": { name: "Ministral 3 3B", description: "Edge deployment model", maxTokens: 4096 },
    "ministral-3:8b": { name: "Ministral 3 8B", description: "Balanced edge model", maxTokens: 4096 },
    "glm-4.6": { name: "GLM 4.6", description: "Advanced agentic & reasoning", maxTokens: 4096 },

    // Thinking/Reasoning Models
    "gpt-oss:20b": { name: "GPT-OSS 20B", description: "OpenAI open-weight model", maxTokens: 4096 },
    "gpt-oss:120b": { name: "GPT-OSS 120B", description: "Large reasoning model", maxTokens: 8192 },
    "deepseek-v3.1:671b": { name: "DeepSeek V3.1", description: "Hybrid thinking model", maxTokens: 8192 },
    "deepseek-v3.2": { name: "DeepSeek V3.2", description: "Efficient reasoning & agents", maxTokens: 8192 },
    "cogito-2.1:671b": { name: "Cogito 2.1", description: "MIT licensed, commercial use", maxTokens: 8192 },
    "kimi-k2": { name: "Kimi K2", description: "MoE model for coding agents", maxTokens: 8192 },
    "kimi-k2-thinking": { name: "Kimi K2 Thinking", description: "Best open thinking model", maxTokens: 8192 },
    "qwen3-next:80b": { name: "Qwen3 Next 80B", description: "Efficient inference thinking", maxTokens: 8192 },

    // Generic fallbacks
    "llama3.2:3b": { name: "Llama 3.2 3B", description: "Compact Llama model", maxTokens: 4096 },
    "llama3.2:8b": { name: "Llama 3.2 8B", description: "Balanced Llama model", maxTokens: 4096 },
    "mistral:7b": { name: "Mistral 7B", description: "Fast general model", maxTokens: 4096 },
    "mixtral:8x7b": { name: "Mixtral 8x7B", description: "MoE general model", maxTokens: 8192 },
} as const

export type ModelId = keyof typeof AI_MODELS
export type OllamaModelId = keyof typeof OLLAMA_MODELS
export type AnyModelId = ModelId | OllamaModelId | string

// Gemini 2.5 Flash as default since user has that API key
export const DEFAULT_MODEL: ModelId = "gemini-2.5-flash"

// Helper to check if model is Ollama
export function isOllamaModel(modelId: string): boolean {
    return modelId in OLLAMA_MODELS || modelId.includes(":")
}

// Get all models for selection
export function getAllModels() {
    const cloudModels = Object.entries(AI_MODELS).map(([id, config]) => ({
        id,
        ...config,
        provider: config.provider,
        isOllama: false,
    }))

    const ollamaModels = Object.entries(OLLAMA_MODELS).map(([id, config]) => ({
        id,
        ...config,
        provider: "ollama",
        isOllama: true,
    }))

    return { cloudModels, ollamaModels }
}