import { LLMFactory } from '@/constants/llm';
import { useTranslate } from '@/hooks/common-hooks';
import { IModalProps } from '@/interfaces/common';
import { IAddLlmRequestBody } from '@/interfaces/request/llm';
import {
  Flex,
  Form,
  Input,
  InputNumber,
  Modal,
  Select,
  Space,
  Switch,
} from 'antd';
import omit from 'lodash/omit';

type FieldType = IAddLlmRequestBody & { vision: boolean };

const { Option } = Select;

const llmFactoryToUrlMap = {
  [LLMFactory.Ollama]:
    'https://github.com/infiniflow/ragflow/blob/main/docs/guides/models/deploy_local_llm.mdx',
  [LLMFactory.Xinference]:
    'https://inference.readthedocs.io/en/latest/user_guide',
  [LLMFactory.ModelScope]:
    'https://www.modelscope.cn/docs/model-service/API-Inference/intro',
  [LLMFactory.LocalAI]: 'https://localai.io/docs/getting-started/models/',
  [LLMFactory.LMStudio]: 'https://lmstudio.ai/docs/basics',
  [LLMFactory.OpenAiAPICompatible]:
    'https://platform.openai.com/docs/models/gpt-4',
  [LLMFactory.TogetherAI]: 'https://docs.together.ai/docs/deployment-options',
  [LLMFactory.Replicate]: 'https://replicate.com/docs/topics/deployments',
  [LLMFactory.OpenRouter]: 'https://openrouter.ai/docs',
  [LLMFactory.HuggingFace]:
    'https://huggingface.co/docs/text-embeddings-inference/quick_tour',
  [LLMFactory.GPUStack]: 'https://docs.gpustack.ai/latest/quickstart',
  [LLMFactory.VLLM]: 'https://docs.vllm.ai/en/latest/',
};
type LlmFactory = keyof typeof llmFactoryToUrlMap;

const OllamaModal = ({
  visible,
  hideModal,
  onOk,
  loading,
  llmFactory,
}: IModalProps<IAddLlmRequestBody> & { llmFactory: string }) => {
  const [form] = Form.useForm<FieldType>();

  const { t } = useTranslate('setting');

  const handleKeyDown = async (e: React.KeyboardEvent) => {
    if (e.key === 'Enter') {
      await handleOk();
    }
  };

  const handleOk = async () => {
    const values = await form.validateFields();
    const modelType =
      values.model_type === 'chat' && values.vision
        ? 'image2text'
        : values.model_type;

    const data = {
      ...omit(values, ['vision']),
      model_type: modelType,
      llm_factory: llmFactory,
      max_tokens: values.max_tokens,
    };
    console.info(data);

    onOk?.(data);
  };
  const url =
    llmFactoryToUrlMap[llmFactory as LlmFactory] ||
    'https://github.com/infiniflow/ragflow/blob/main/docs/guides/models/deploy_local_llm.mdx';
  const optionsMap = {
    [LLMFactory.HuggingFace]: [
      { value: 'embedding', label: 'embedding' },
      { value: 'chat', label: 'chat' },
      { value: 'rerank', label: 'rerank' },
    ],
    [LLMFactory.Xinference]: [
      { value: 'chat', label: 'chat' },
      { value: 'embedding', label: 'embedding' },
      { value: 'rerank', label: 'rerank' },
      { value: 'image2text', label: 'image2text' },
      { value: 'speech2text', label: 'sequence2text' },
      { value: 'tts', label: 'tts' },
    ],
    [LLMFactory.ModelScope]: [{ value: 'chat', label: 'chat' }],
    [LLMFactory.GPUStack]: [
      { value: 'chat', label: 'chat' },
      { value: 'embedding', label: 'embedding' },
      { value: 'rerank', label: 'rerank' },
      { value: 'speech2text', label: 'sequence2text' },
      { value: 'tts', label: 'tts' },
    ],
    Default: [
      { value: 'chat', label: 'chat' },
      { value: 'embedding', label: 'embedding' },
      { value: 'rerank', label: 'rerank' },
      { value: 'image2text', label: 'image2text' },
    ],
  };
  const getOptions = (factory: string) => {
    return optionsMap[factory as keyof typeof optionsMap] || optionsMap.Default;
  };
  return (
    <Modal
      title={t('addLlmTitle', { name: llmFactory })}
      open={visible}
      onOk={handleOk}
      onCancel={hideModal}
      okButtonProps={{ loading }}
      footer={(originNode: React.ReactNode) => {
        return (
          <Flex justify={'space-between'}>
            <a href={url} target="_blank" rel="noreferrer">
              {t('ollamaLink', { name: llmFactory })}
            </a>
            <Space>{originNode}</Space>
          </Flex>
        );
      }}
    >
      <Form
        name="basic"
        style={{ maxWidth: 600 }}
        autoComplete="off"
        layout={'vertical'}
        form={form}
      >
        <Form.Item<FieldType>
          label={t('modelType')}
          name="model_type"
          initialValue={'embedding'}
          rules={[{ required: true, message: t('modelTypeMessage') }]}
        >
          <Select placeholder={t('modelTypeMessage')}>
            {getOptions(llmFactory).map((option) => (
              <Option key={option.value} value={option.value}>
                {option.label}
              </Option>
            ))}
          </Select>
        </Form.Item>
        <Form.Item<FieldType>
          label={t(llmFactory === 'Xinference' ? 'modelUid' : 'modelName')}
          name="llm_name"
          rules={[{ required: true, message: t('modelNameMessage') }]}
        >
          <Input
            placeholder={t('modelNameMessage')}
            onKeyDown={handleKeyDown}
          />
        </Form.Item>
        <Form.Item<FieldType>
          label={t('addLlmBaseUrl')}
          name="api_base"
          rules={[{ required: true, message: t('baseUrlNameMessage') }]}
        >
          <Input
            placeholder={t('baseUrlNameMessage')}
            onKeyDown={handleKeyDown}
          />
        </Form.Item>
        <Form.Item<FieldType>
          label={t('apiKey')}
          name="api_key"
          rules={[{ required: false, message: t('apiKeyMessage') }]}
        >
          <Input placeholder={t('apiKeyMessage')} onKeyDown={handleKeyDown} />
        </Form.Item>
        <Form.Item<FieldType>
          label={t('maxTokens')}
          name="max_tokens"
          rules={[
            { required: true, message: t('maxTokensMessage') },
            {
              type: 'number',
              message: t('maxTokensInvalidMessage'),
            },
            ({}) => ({
              validator(_, value) {
                if (value < 0) {
                  return Promise.reject(new Error(t('maxTokensMinMessage')));
                }
                return Promise.resolve();
              },
            }),
          ]}
        >
          <InputNumber
            placeholder={t('maxTokensTip')}
            style={{ width: '100%' }}
            onKeyDown={handleKeyDown}
          />
        </Form.Item>

        <Form.Item noStyle dependencies={['model_type']}>
          {({ getFieldValue }) =>
            getFieldValue('model_type') === 'chat' && (
              <Form.Item
                label={t('vision')}
                valuePropName="checked"
                name={'vision'}
              >
                <Switch />
              </Form.Item>
            )
          }
        </Form.Item>
      </Form>
    </Modal>
  );
};

export default OllamaModal;
