import type {
  ChatMessageTool,
} from '@/app/store';
import type {
  ChatOptions,
  LLMApi,
  LLMModel,
  LLMUsage,
  SpeechOptions,
} from '../api';
import type { RequestPayload } from './openai';
import { getClientConfig } from '@/app/config/client';
import { ApiPath, GEMINI_BASE_URL, Google, REQUEST_TIMEOUT_MS } from '@/app/constant';
import {
  useAccessStore,
  useAppConfig,
  useChatStore,
  usePluginStore,
} from '@/app/store';

import {
  getMessageImages,
  getMessageTextContent,
  isVisionModel,
} from '@/app/utils';
import { preProcessImageContent, stream } from '@/app/utils/chat';
import { fetch } from '@/app/utils/stream';
import { nanoid } from 'nanoid';
import {
  getHeaders,
} from '../api';

export class GeminiProApi implements LLMApi {
  path(path: string, shouldStream = false): string {
    const accessStore = useAccessStore.getState();

    let baseUrl = '';
    if (accessStore.useCustomConfig) {
      baseUrl = accessStore.googleUrl;
    }

    const isApp = !!getClientConfig()?.isApp;
    if (baseUrl.length === 0) {
      baseUrl = isApp ? GEMINI_BASE_URL : ApiPath.Google;
    }
    if (baseUrl.endsWith('/')) {
      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
    }
    if (!baseUrl.startsWith('http') && !baseUrl.startsWith(ApiPath.Google)) {
      baseUrl = `https://${baseUrl}`;
    }

    console.log('[Proxy Endpoint] ', baseUrl, path);

    let chatPath = [baseUrl, path].join('/');
    if (shouldStream) {
      chatPath += chatPath.includes('?') ? '&alt=sse' : '?alt=sse';
    }

    return chatPath;
  }

  extractMessage(res: any) {
    console.log('[Response] gemini-pro response: ', res);

    return (
      res?.candidates?.at(0)?.content?.parts.at(0)?.text
      || res?.at(0)?.candidates?.at(0)?.content?.parts.at(0)?.text
      || res?.error?.message
      || ''
    );
  }

  speech(options: SpeechOptions): Promise<ArrayBuffer> {
    throw new Error('Method not implemented.');
  }

  async chat(options: ChatOptions): Promise<void> {
    const apiClient = this;
    let multimodal = false;

    // try get base64image from local cache image_url
    const _messages: ChatOptions['messages'] = [];
    for (const v of options.messages) {
      const content = await preProcessImageContent(v.content);
      _messages.push({ role: v.role, content });
    }
    const messages = _messages.map((v) => {
      let parts: any[] = [{ text: getMessageTextContent(v) }];
      if (isVisionModel(options.config.model)) {
        const images = getMessageImages(v);
        if (images.length > 0) {
          multimodal = true;
          parts = parts.concat(
            images.map((image) => {
              const imageType = image.split(';')[0].split(':')[1];
              const imageData = image.split(',')[1];
              return {
                inline_data: {
                  mime_type: imageType,
                  data: imageData,
                },
              };
            }),
          );
        }
      }
      return {
        role: v.role.replace('assistant', 'model').replace('system', 'user'),
        parts,
      };
    });

    // google requires that role in neighboring messages must not be the same
    for (let i = 0; i < messages.length - 1;) {
      // Check if current and next item both have the role "model"
      if (messages[i].role === messages[i + 1].role) {
        // Concatenate the 'parts' of the current and next item
        messages[i].parts = messages[i].parts.concat(messages[i + 1].parts);
        // Remove the next item
        messages.splice(i + 1, 1);
      } else {
        // Move to the next item
        i++;
      }
    }
    // if (visionModel && messages.length > 1) {
    //   options.onError?.(new Error("Multiturn chat is not enabled for models/gemini-pro-vision"));
    // }

    const accessStore = useAccessStore.getState();

    const modelConfig = {
      ...useAppConfig.getState().modelConfig,
      ...useChatStore.getState().currentSession().mask.modelConfig,
      ...{
        model: options.config.model,
      },
    };
    const requestPayload = {
      contents: messages,
      generationConfig: {
        // stopSequences: [
        //   "Title"
        // ],
        temperature: modelConfig.temperature,
        maxOutputTokens: modelConfig.max_tokens,
        topP: modelConfig.top_p,
        // "topK": modelConfig.top_k,
      },
      safetySettings: [
        {
          category: 'HARM_CATEGORY_HARASSMENT',
          threshold: accessStore.googleSafetySettings,
        },
        {
          category: 'HARM_CATEGORY_HATE_SPEECH',
          threshold: accessStore.googleSafetySettings,
        },
        {
          category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
          threshold: accessStore.googleSafetySettings,
        },
        {
          category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
          threshold: accessStore.googleSafetySettings,
        },
      ],
    };

    const shouldStream = !!options.config.stream;
    const controller = new AbortController();
    options.onController?.(controller);
    try {
      // https://github.com/google-gemini/cookbook/blob/main/quickstarts/rest/Streaming_REST.ipynb
      const chatPath = this.path(
        Google.ChatPath(modelConfig.model),
        shouldStream,
      );

      const chatPayload = {
        method: 'POST',
        body: JSON.stringify(requestPayload),
        signal: controller.signal,
        headers: getHeaders(),
      };

      // make a fetch request
      const requestTimeoutId = setTimeout(
        () => controller.abort(),
        REQUEST_TIMEOUT_MS,
      );

      if (shouldStream) {
        const [tools, funcs] = usePluginStore
          .getState()
          .getAsTools(
            useChatStore.getState().currentSession().mask?.plugin || [],
          );
        return stream(
          chatPath,
          requestPayload,
          getHeaders(),
          // @ts-ignore
          tools.length > 0
            ? // @ts-ignore
              [{ functionDeclarations: tools.map(tool => tool.function) }]
            : [],
          funcs,
          controller,
          // parseSSE
          (text: string, runTools: ChatMessageTool[]) => {
            // console.log("parseSSE", text, runTools);
            const chunkJson = JSON.parse(text);

            const functionCall = chunkJson?.candidates
              ?.at(0)
              ?.content
              .parts
              .at(0)
              ?.functionCall;
            if (functionCall) {
              const { name, args } = functionCall;
              runTools.push({
                id: nanoid(),
                type: 'function',
                function: {
                  name,
                  arguments: JSON.stringify(args), // utils.chat call function, using JSON.parse
                },
              });
            }
            return chunkJson?.candidates?.at(0)?.content.parts.at(0)?.text;
          },
          // processToolMessage, include tool_calls message and tool call results
          (
            requestPayload: RequestPayload,
            toolCallMessage: any,
            toolCallResult: any[],
          ) => {
            // @ts-ignore
            requestPayload?.contents?.splice(
              // @ts-ignore
              requestPayload?.contents?.length,
              0,
              {
                role: 'model',
                parts: toolCallMessage.tool_calls.map(
                  (tool: ChatMessageTool) => ({
                    functionCall: {
                      name: tool?.function?.name,
                      args: JSON.parse(tool?.function?.arguments as string),
                    },
                  }),
                ),
              },
              // @ts-ignore
              ...toolCallResult.map(result => ({
                role: 'function',
                parts: [
                  {
                    functionResponse: {
                      name: result.name,
                      response: {
                        name: result.name,
                        content: result.content, // TODO just text content...
                      },
                    },
                  },
                ],
              })),
            );
          },
          options,
        );
      } else {
        const res = await fetch(chatPath, chatPayload);
        clearTimeout(requestTimeoutId);
        const resJson = await res.json();
        if (resJson?.promptFeedback?.blockReason) {
          // being blocked
          options.onError?.(
            new Error(
              `Message is being blocked for reason: ${
                resJson.promptFeedback.blockReason}`,
            ),
          );
        }
        const message = apiClient.extractMessage(resJson);
        options.onFinish(message, res);
      }
    } catch (e) {
      console.log('[Request] failed to make a chat request', e);
      options.onError?.(e as Error);
    }
  }

  usage(): Promise<LLMUsage> {
    throw new Error('Method not implemented.');
  }

  async models(): Promise<LLMModel[]> {
    return [];
  }
}