const path = require("path");
const prisma = require("../utils/prisma");
const { isValidUrl } = require("../utils/http");
process.env.NODE_ENV === "development"
  ? require("dotenv").config({ path: `.env.${process.env.NODE_ENV}` })
  : require("dotenv").config({
      path: process.env.STORAGE_DIR
        ? path.resolve(process.env.STORAGE_DIR, ".env")
        : path.resolve(__dirname, ".env"),
    });

function isNullOrNaN(value) {
  if (value === null) return true;
  return isNaN(value);
}

const SystemSettings = {
  protectedFields: ["multi_user_mode"],
  supportedFields: [
    "users_can_delete_workspaces",
    "limit_user_messages",
    "message_limit",
    "logo_filename",
    "telemetry_id",
    "footer_data",
    "support_email",
    "text_splitter_chunk_size",
    "text_splitter_chunk_overlap",
    "agent_search_provider",
    "default_agent_skills",
  ],
  validations: {
    footer_data: (updates) => {
      try {
        const array = JSON.parse(updates)
          .filter((setting) => isValidUrl(setting.url))
          .slice(0, 3); // max of 3 items in footer.
        return JSON.stringify(array);
      } catch (e) {
        console.error(`Failed to run validation function on footer_data`);
        return JSON.stringify([]);
      }
    },
    text_splitter_chunk_size: (update) => {
      try {
        if (isNullOrNaN(update)) throw new Error("Value is not a number.");
        if (Number(update) <= 0) throw new Error("Value must be non-zero.");
        return Number(update);
      } catch (e) {
        console.error(
          `Failed to run validation function on text_splitter_chunk_size`,
          e.message
        );
        return 1000;
      }
    },
    text_splitter_chunk_overlap: (update) => {
      try {
        if (isNullOrNaN(update)) throw new Error("Value is not a number");
        if (Number(update) < 0) throw new Error("Value cannot be less than 0.");
        return Number(update);
      } catch (e) {
        console.error(
          `Failed to run validation function on text_splitter_chunk_overlap`,
          e.message
        );
        return 20;
      }
    },
    agent_search_provider: (update) => {
      try {
        if (!["google-search-engine", "serper-dot-dev"].includes(update))
          throw new Error("Invalid SERP provider.");
        return String(update);
      } catch (e) {
        console.error(
          `Failed to run validation function on agent_search_provider`,
          e.message
        );
        return null;
      }
    },
    default_agent_skills: (updates) => {
      try {
        const skills = updates.split(",").filter((skill) => !!skill);
        return JSON.stringify(skills);
      } catch (e) {
        console.error(`Could not validate agent skills.`);
        return JSON.stringify([]);
      }
    },
  },
  currentSettings: async function () {
    const { hasVectorCachedFiles } = require("../utils/files");
    const llmProvider = process.env.LLM_PROVIDER;
    const vectorDB = process.env.VECTOR_DB;
    return {
      // --------------------------------------------------------
      // General Settings
      // --------------------------------------------------------
      RequiresAuth: !!process.env.AUTH_TOKEN,
      AuthToken: !!process.env.AUTH_TOKEN,
      JWTSecret: !!process.env.JWT_SECRET,
      StorageDir: process.env.STORAGE_DIR,
      MultiUserMode: await this.isMultiUserMode(),
      DisableTelemetry: process.env.DISABLE_TELEMETRY || "false",

      // --------------------------------------------------------
      // Embedder Provider Selection Settings & Configs
      // --------------------------------------------------------
      EmbeddingEngine: process.env.EMBEDDING_ENGINE,
      HasExistingEmbeddings: await this.hasEmbeddings(), // check if they have any currently embedded documents active in workspaces.
      HasCachedEmbeddings: hasVectorCachedFiles(), // check if they any currently cached embedded docs.
      EmbeddingBasePath: process.env.EMBEDDING_BASE_PATH,
      EmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
      EmbeddingModelMaxChunkLength:
        process.env.EMBEDDING_MODEL_MAX_CHUNK_LENGTH,

      // --------------------------------------------------------
      // VectorDB Provider Selection Settings & Configs
      // --------------------------------------------------------
      VectorDB: vectorDB,
      ...this.vectorDBPreferenceKeys(),

      // --------------------------------------------------------
      // LLM Provider Selection Settings & Configs
      // --------------------------------------------------------
      LLMProvider: llmProvider,
      ...this.llmPreferenceKeys(),

      // --------------------------------------------------------
      // Whisper (Audio transcription) Selection Settings & Configs
      // - Currently the only 3rd party is OpenAI, so is OPEN_AI_KEY is set
      // - then it can be shared.
      // --------------------------------------------------------
      WhisperProvider: process.env.WHISPER_PROVIDER || "local",

      // --------------------------------------------------------
      // Agent Settings & Configs
      // --------------------------------------------------------
      AgentGoogleSearchEngineId: process.env.AGENT_GSE_CTX || null,
      AgentGoogleSearchEngineKey: process.env.AGENT_GSE_KEY || null,
      AgentSerperApiKey: process.env.AGENT_SERPER_DEV_KEY || null,
    };
  },

  get: async function (clause = {}) {
    try {
      const setting = await prisma.system_settings.findFirst({ where: clause });
      return setting || null;
    } catch (error) {
      console.error(error.message);
      return null;
    }
  },

  getValueOrFallback: async function (clause = {}, fallback = null) {
    try {
      return (await this.get(clause))?.value ?? fallback;
    } catch (error) {
      console.error(error.message);
      return fallback;
    }
  },

  where: async function (clause = {}, limit) {
    try {
      const settings = await prisma.system_settings.findMany({
        where: clause,
        take: limit || undefined,
      });
      return settings;
    } catch (error) {
      console.error(error.message);
      return [];
    }
  },

  // Can take generic keys and will pre-filter invalid keys
  // from the set before sending to the explicit update function
  // that will then enforce validations as well.
  updateSettings: async function (updates = {}) {
    const validFields = Object.keys(updates).filter((key) =>
      this.supportedFields.includes(key)
    );

    Object.entries(updates).forEach(([key]) => {
      if (validFields.includes(key)) return;
      delete updates[key];
    });

    return this._updateSettings(updates);
  },

  // Explicit update of settings + key validations.
  // Only use this method when directly setting a key value
  // that takes no user input for the keys being modified.
  _updateSettings: async function (updates = {}) {
    try {
      const updatePromises = Object.keys(updates).map((key) => {
        const validatedValue = this.validations.hasOwnProperty(key)
          ? this.validations[key](updates[key])
          : updates[key];

        return prisma.system_settings.upsert({
          where: { label: key },
          update: {
            value: validatedValue === null ? null : String(validatedValue),
          },
          create: {
            label: key,
            value: validatedValue === null ? null : String(validatedValue),
          },
        });
      });

      await Promise.all(updatePromises);
      return { success: true, error: null };
    } catch (error) {
      console.error("FAILED TO UPDATE SYSTEM SETTINGS", error.message);
      return { success: false, error: error.message };
    }
  },

  isMultiUserMode: async function () {
    try {
      const setting = await this.get({ label: "multi_user_mode" });
      return setting?.value === "true";
    } catch (error) {
      console.error(error.message);
      return false;
    }
  },

  currentLogoFilename: async function () {
    try {
      const setting = await this.get({ label: "logo_filename" });
      return setting?.value || null;
    } catch (error) {
      console.error(error.message);
      return null;
    }
  },

  canDeleteWorkspaces: async function () {
    try {
      const setting = await this.get({ label: "users_can_delete_workspaces" });
      return setting?.value === "true";
    } catch (error) {
      console.error(error.message);
      return false;
    }
  },

  hasEmbeddings: async function () {
    try {
      const { Document } = require("./documents");
      const count = await Document.count({}, 1);
      return count > 0;
    } catch (error) {
      console.error(error.message);
      return false;
    }
  },

  vectorDBPreferenceKeys: function () {
    return {
      // Pinecone DB Keys
      PineConeKey: !!process.env.PINECONE_API_KEY,
      PineConeIndex: process.env.PINECONE_INDEX,

      // Chroma DB Keys
      ChromaEndpoint: process.env.CHROMA_ENDPOINT,
      ChromaApiHeader: process.env.CHROMA_API_HEADER,
      ChromaApiKey: !!process.env.CHROMA_API_KEY,

      // Weaviate DB Keys
      WeaviateEndpoint: process.env.WEAVIATE_ENDPOINT,
      WeaviateApiKey: process.env.WEAVIATE_API_KEY,

      // QDrant DB Keys
      QdrantEndpoint: process.env.QDRANT_ENDPOINT,
      QdrantApiKey: process.env.QDRANT_API_KEY,

      // Milvus DB Keys
      MilvusAddress: process.env.MILVUS_ADDRESS,
      MilvusUsername: process.env.MILVUS_USERNAME,
      MilvusPassword: !!process.env.MILVUS_PASSWORD,

      // Zilliz DB Keys
      ZillizEndpoint: process.env.ZILLIZ_ENDPOINT,
      ZillizApiToken: process.env.ZILLIZ_API_TOKEN,

      // AstraDB Keys
      AstraDBApplicationToken: process?.env?.ASTRA_DB_APPLICATION_TOKEN,
      AstraDBEndpoint: process?.env?.ASTRA_DB_ENDPOINT,
    };
  },

  llmPreferenceKeys: function () {
    return {
      // OpenAI Keys
      OpenAiKey: !!process.env.OPEN_AI_KEY,
      OpenAiModelPref: process.env.OPEN_MODEL_PREF || "gpt-3.5-turbo",

      // Azure + OpenAI Keys
      AzureOpenAiEndpoint: process.env.AZURE_OPENAI_ENDPOINT,
      AzureOpenAiKey: !!process.env.AZURE_OPENAI_KEY,
      AzureOpenAiModelPref: process.env.OPEN_MODEL_PREF,
      AzureOpenAiEmbeddingModelPref: process.env.EMBEDDING_MODEL_PREF,
      AzureOpenAiTokenLimit: process.env.AZURE_OPENAI_TOKEN_LIMIT || 4096,

      // Anthropic Keys
      AnthropicApiKey: !!process.env.ANTHROPIC_API_KEY,
      AnthropicModelPref: process.env.ANTHROPIC_MODEL_PREF || "claude-2",

      // Gemini Keys
      GeminiLLMApiKey: !!process.env.GEMINI_API_KEY,
      GeminiLLMModelPref: process.env.GEMINI_LLM_MODEL_PREF || "gemini-pro",

      // LMStudio Keys
      LMStudioBasePath: process.env.LMSTUDIO_BASE_PATH,
      LMStudioTokenLimit: process.env.LMSTUDIO_MODEL_TOKEN_LIMIT,
      LMStudioModelPref: process.env.LMSTUDIO_MODEL_PREF,

      // LocalAI Keys
      LocalAiApiKey: !!process.env.LOCAL_AI_API_KEY,
      LocalAiBasePath: process.env.LOCAL_AI_BASE_PATH,
      LocalAiModelPref: process.env.LOCAL_AI_MODEL_PREF,
      LocalAiTokenLimit: process.env.LOCAL_AI_MODEL_TOKEN_LIMIT,

      // Ollama LLM Keys
      OllamaLLMBasePath: process.env.OLLAMA_BASE_PATH,
      OllamaLLMModelPref: process.env.OLLAMA_MODEL_PREF,
      OllamaLLMTokenLimit: process.env.OLLAMA_MODEL_TOKEN_LIMIT,

      // TogetherAI Keys
      TogetherAiApiKey: !!process.env.TOGETHER_AI_API_KEY,
      TogetherAiModelPref: process.env.TOGETHER_AI_MODEL_PREF,

      // Perplexity AI Keys
      PerplexityApiKey: !!process.env.PERPLEXITY_API_KEY,
      PerplexityModelPref: process.env.PERPLEXITY_MODEL_PREF,

      // OpenRouter Keys
      OpenRouterApiKey: !!process.env.OPENROUTER_API_KEY,
      OpenRouterModelPref: process.env.OPENROUTER_MODEL_PREF,

      // Mistral AI (API) Keys
      MistralApiKey: !!process.env.MISTRAL_API_KEY,
      MistralModelPref: process.env.MISTRAL_MODEL_PREF,

      // Groq AI API Keys
      GroqApiKey: !!process.env.GROQ_API_KEY,
      GroqModelPref: process.env.GROQ_MODEL_PREF,

      // Native LLM Keys
      NativeLLMModelPref: process.env.NATIVE_LLM_MODEL_PREF,
      NativeLLMTokenLimit: process.env.NATIVE_LLM_MODEL_TOKEN_LIMIT,

      // HuggingFace Dedicated Inference
      HuggingFaceLLMEndpoint: process.env.HUGGING_FACE_LLM_ENDPOINT,
      HuggingFaceLLMAccessToken: !!process.env.HUGGING_FACE_LLM_API_KEY,
      HuggingFaceLLMTokenLimit: process.env.HUGGING_FACE_LLM_TOKEN_LIMIT,

      // Generic OpenAI Keys
      GenericOpenAiBasePath: process.env.GENERIC_OPEN_AI_BASE_PATH,
      GenericOpenAiModelPref: process.env.GENERIC_OPEN_AI_MODEL_PREF,
      GenericOpenAiTokenLimit: process.env.GENERIC_OPEN_AI_MODEL_TOKEN_LIMIT,
      GenericOpenAiKey: !!process.env.GENERIC_OPEN_AI_API_KEY,
    };
  },
};

module.exports.SystemSettings = SystemSettings;