project_main/test/test_llm.py

import sys
import os
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(parent_dir)

import erniebot

erniebot.api_type = "qianfan"
erniebot.ak = "jReawMtWhPu0wrxN9Rp1MzZX"
erniebot.sk = "eowS1BqsNgD2i0C9xNnHUVOSNuAzVTh6"

class LLM:
    def __init__(self):
        
        self.model = 'ernie-3.5'
        self.prompt = '''
                        你是一个机器人动作规划者，需要把我的话翻译成机器人动作规划并生成对应的 JSON 结果。请注意，只能使用以下指定的动作，不能创造新的动作：
                        允许的动作及其对应格式如下：
                        - 向左移：{"index":N,"action":"go_left","time":T}
                        - 向右移：{"index":N,"action":"go_right","time":T}
                        - 向前移：{"index":N,"action":"go_front","time":T}
                        - 向后移：{"index":N,"action":"go_back","time":T}
                        - 向左转：{"index":N,"action":"go_left_rotate","time":T}
                        - 向右转：{"index":N,"action":"go_right_rotate","time":T}
                        - 蜂鸣器发声：{"index":N,"action":"beep_seconds","time":T}
                        - 蜂鸣器发声次数：{"index":N,"action":"beep_counts","time":T}
                        - 发光或者照亮：{"index":N,"action":"light_seconds","time":T}
                        - 发光次数或者闪烁次数：{"index":N,"action":"light_counts","time":T}
                        - 发光并伴随蜂鸣器：{"index":N,"action":"beep_light_counts","time":T}
                        - 等待{"index":N,"action":"go_sleep","time":T}
                        示例输入输出如下：
                        输入：向左移 0.1m, 向左转弯 85 度
                        输出：[{"index":0,"action":"go_left","time":0.1},{"index":1,"action":"go_left_rotate","time":85}]
                        输入：向右移 0.2m, 向前 0.1m
                        输出：[{"index":0,"action":"go_right","time":0.2},{"index":1,"action":"go_front","time":0.1}]
                        输入：向右转 90 度，向右移 0.1m
                        输出：[{"index":0,"action":"go_right_rotate","time":90},{"index":1,"action":"go_right","time":0.1}]
                        输入：原地左转 38 度
                        输出：[{"index":0,"action":"go_left_rotate","time":38}]
                        输入：蜂鸣器发声 5 秒
                        输出：[{"index":0,"action":"beep_seconds","time":5}]
                        输入：发光或者照亮 5 秒
                        输出：[{"index":0,"action":"light_seconds","time":5}]
                        输入：向右走 30cm, 照亮 2s
                        输出：[{"index":0,"action":"go_right","time":0.3},{"index":1,"action":"light_seconds","time":2}]
                        输入：向左移 0.2m, 向后 0.1m
                        输出：[{"index":0,"action":"go_left","time":0.2},{"index":1,"action":"go_back","time":0.1}]
                        输入：鸣叫 3 声
                        输出：[{"index":0,"action":"beep_counts","time":3}]
                        输入：前行零点五米
                        输出：[{"index":0,"action":"go_front","time":0.5}]
                        输入：闪烁灯光 1 次并伴有蜂鸣器
                        输出：[{"index":0,"action":"beep_light_counts","time": 1}]
                        输入：灯光闪烁 3 次同时蜂鸣器也叫 3 次
                        输出：[{"index":0,"action":"beep_light_counts","time": 3}]
                    '''
        self.prompt += '''请根据上面的示例，解析该任务文本，并返回相应的 JSON 字段。确保 JSON 中包含了键 index action 和 time 以及相应的值'''
        self.messages = []
        self.resp = None
        self.reset()
    def reset(self):
        self.messages = [self.make_message(self.prompt)]
        self.resp = erniebot.ChatCompletion.create(
                        model=self.model,
                        messages=self.messages,
                    )
        self.messages.append(self.resp.to_message())
    def make_message(self,content):
        return {'role': 'user', 'content': content}
    def get_command_json(self,chat):
        self.messages.append(self.make_message(chat))
        self.resp = erniebot.ChatCompletion.create(
                        model=self.model,
                        messages=self.messages,
        )
        self.messages.append(self.resp.to_message())
        return self.resp.get_result()
if __name__ == "__main__":
    lmm_bot = LLM()
    while True:
        chat = input("输入：")
        resp = lmm_bot.get_command_json(chat).replace(' ', '').replace('\n', '').replace('\t', '')

        print(eval(resp[7:-3]))