core_functional.py

# 'primary' 颜色对应 theme.py 中的 primary_hue
# 'secondary' 颜色对应 theme.py 中的 neutral_hue
# 'stop' 颜色对应 theme.py 中的 color_er
import importlib
from toolbox import clear_line_break


def get_core_functions():
    return {
        "地点信息询问": {
            # 前缀，会被加在你的输入之前。例如，用来描述你的要求，例如翻译、解释代码、润色等等
            "Prefix":   r"作为一名中文地理百科助手" +
                        r"请你为我提供我输入的这个地点的所有信息" + "\n\n",
            # 后缀，会被加在你的输入之后。例如，配合前缀可以把你的输入内容用引号圈起来
            "Suffix":   r"",
            # 按钮颜色 (默认 secondary)
            "Color":    r"secondary",
            # 按钮是否可见 (默认 True，即可见)
            "Visible": True,
            # 是否在触发时清除历史 (默认 False，即不处理之前的对话历史)
            "AutoClearHistory": False
        },
        "路线规划": {
            "Prefix":   r"作为一名中文导游助理" +
                        r"你需要根据我提供的地点和要求为我规划最合理的旅行路线" + "\n\n",
            "Suffix":   r"",
        },
        "图片生成": {
            "Prefix":   r"接下来我会给你提供地点和信息，你根据我提供的地点和信息生成相应的图片 " +
                        r"你需要用Unsplash API，生成markdown格式的图片" +
                        r"遵循以下的格式：https://source.unsplash.com/1600x900/?< PUT YOUR QUERY HERE >。你明白了吗？ " + "\n\n",
            "Suffix":   r"",
            "PreProcess": clear_line_break,    # 预处理：清除换行符
        },
        "中译英": {
            "Prefix":   r"Please translate following sentence to English:" + "\n\n",
            "Suffix":   r"",
        },
        "中英互译": {
            "Prefix":   r"I want you to act as a scientific English-Chinese translator, " +
                        r"I will provide you with some paragraphs in one language " +
                        r"and your task is to accurately and academically translate the paragraphs only into the other language. " +
                        r"Do not repeat the original provided paragraphs after translation. " +
                        r"You should use artificial intelligence tools, " +
                        r"such as natural language processing, and rhetorical knowledge " +
                        r"and experience about effective writing techniques to reply. " +
                        r"I'll give you my paragraphs as follows, tell me what language it is written in, and then translate:" + "\n\n",
            "Suffix": "",
            "Color": "secondary",
        },
        "英译中": {
            "Prefix":   r"翻译成地道的中文：" + "\n\n",
            "Suffix":   r"",
        },
        "找图片": {
            "Prefix":   r"我需要你找一张网络图片。使用Unsplash API(https://source.unsplash.com/960x640/?<英语关键词>)获取图片URL，" +
                        r"然后请使用Markdown格式封装，并且不要有反斜线，不要用代码块。现在，请按以下描述给我发送图片：" + "\n\n",
            "Suffix":   r"",
            "Visible": False,
        }
    }


def handle_core_functionality(additional_fn, inputs, history, chatbot):
    import core_functional
    importlib.reload(core_functional)    # 热更新prompt
    core_functional = core_functional.get_core_functions()
    if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
    inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
    if core_functional[additional_fn].get("AutoClearHistory", False):
        history = []
    return inputs, history