import { OpenAI } from "openai";
import {
  _NotCustomized,
  ISimpleType,
  ModelPropertiesDeclarationToProperties,
  ModelSnapshotType2,
  UnionStringArray,
} from "mobx-state-tree";
import ChatSdk from "../lib/chat-sdk";
import { BaseChatProvider, CommonProviderParams } from "./chat-stream-provider";

export class CloudflareAiChatProvider extends BaseChatProvider {
  getOpenAIClient(param: CommonProviderParams): OpenAI {
    const cfAiURL = `https://api.cloudflare.com/client/v4/accounts/${param.env.CLOUDFLARE_ACCOUNT_ID}/ai/v1`;

    return new OpenAI({
      apiKey: param.env.CLOUDFLARE_API_KEY,
      baseURL: cfAiURL,
    });
  }

  getStreamParams(param: CommonProviderParams, safeMessages: any[]): any {
    const generationParams: Record<string, any> = {
      model: this.getModelWithPrefix(param.model),
      messages: safeMessages,
      stream: true,
    };

    // Set max_tokens based on model
    if (this.getModelPrefix(param.model) === "@cf/meta") {
      generationParams["max_tokens"] = 4096;
    }

    if (this.getModelPrefix(param.model) === "@hf/mistral") {
      generationParams["max_tokens"] = 4096;
    }

    if (param.model.toLowerCase().includes("hermes-2-pro-mistral-7b")) {
      generationParams["max_tokens"] = 1000;
    }

    if (param.model.toLowerCase().includes("openhermes-2.5-mistral-7b-awq")) {
      generationParams["max_tokens"] = 1000;
    }

    if (param.model.toLowerCase().includes("deepseek-coder-6.7b-instruct-awq")) {
      generationParams["max_tokens"] = 590;
    }

    if (param.model.toLowerCase().includes("deepseek-math-7b-instruct")) {
      generationParams["max_tokens"] = 512;
    }

    if (param.model.toLowerCase().includes("neural-chat-7b-v3-1-awq")) {
      generationParams["max_tokens"] = 590;
    }

    if (param.model.toLowerCase().includes("openchat-3.5-0106")) {
      generationParams["max_tokens"] = 2000;
    }

    return generationParams;
  }

  private getModelPrefix(model: string): string {
    let modelPrefix = `@cf/meta`;

    if (model.toLowerCase().includes("llama")) {
      modelPrefix = `@cf/meta`;
    }

    if (model.toLowerCase().includes("hermes-2-pro-mistral-7b")) {
      modelPrefix = `@hf/nousresearch`;
    }

    if (model.toLowerCase().includes("mistral-7b-instruct")) {
      modelPrefix = `@hf/mistral`;
    }

    if (model.toLowerCase().includes("gemma")) {
      modelPrefix = `@cf/google`;
    }

    if (model.toLowerCase().includes("deepseek")) {
      modelPrefix = `@cf/deepseek-ai`;
    }

    if (model.toLowerCase().includes("openchat-3.5-0106")) {
      modelPrefix = `@cf/openchat`;
    }

    const isNueralChat = model
      .toLowerCase()
      .includes("neural-chat-7b-v3-1-awq");
    if (
      isNueralChat ||
      model.toLowerCase().includes("openhermes-2.5-mistral-7b-awq") ||
      model.toLowerCase().includes("zephyr-7b-beta-awq") ||
      model.toLowerCase().includes("deepseek-coder-6.7b-instruct-awq")
    ) {
      modelPrefix = `@hf/thebloke`;
    }

    return modelPrefix;
  }

  private getModelWithPrefix(model: string): string {
    return `${this.getModelPrefix(model)}/${model}`;
  }

  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
    // Check if this is the final chunk
    if (chunk.choices && chunk.choices[0]?.finish_reason === "stop") {
      dataCallback({ type: "chat", data: chunk });
      return true; // Break the stream
    }

    dataCallback({ type: "chat", data: chunk });
    return false; // Continue the stream
  }
}

export class CloudflareAISdk {
  private static provider = new CloudflareAiChatProvider();

  static async handleCloudflareAIStream(
    param: {
      openai: OpenAI;
      systemPrompt: any;
      preprocessedContext: ModelSnapshotType2<
        ModelPropertiesDeclarationToProperties<{
          role: ISimpleType<UnionStringArray<string[]>>;
          content: ISimpleType<unknown>;
        }>,
        _NotCustomized
      >;
      maxTokens: unknown | number | undefined;
      messages: any;
      model: string;
      env: Env;
    },
    dataCallback: (data) => void,
  ) {
    return this.provider.handleStream(
      {
        systemPrompt: param.systemPrompt,
        preprocessedContext: param.preprocessedContext,
        maxTokens: param.maxTokens,
        messages: param.messages,
        model: param.model,
        env: param.env,
      },
      dataCallback,
    );
  }
}