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- from agent import Glm, Prompt
- class Agent:
-
- _instance = None
- def __new__(cls):
- if not cls._instance:
- cls._instance = super(Agent, cls).__new__(cls)
- cls._instance._initialized = False
- return cls._instance
-
- def __init__(self):
- if not self._initialized:
- self.glm = Glm()
- self._initialized = True
-
- def brand_key_word_judgement(self, brandname, title):
- """判断是否为关键词引流"""
- self.glm.set_modelname("glm-4-plus")
- prompt = Prompt.EXTRACT_INFO_FROM_TITLE + f"""
- 请根据上述逻辑，分析以下商品标题，并输出结果：
- 商品标题：{title}
- 给定的引流品牌：{brandname}"""
-
- response = self.glm.text_response(prompt)
- return response.content
-
- def license_product_judgement(self, title, license_list):
- """判断是否为未授权商品"""
- license_list_str = ""
- for product in license_list:
- license_list_str += f"{product}\n"
-
- self.glm.set_modelname("glm-4-plus")
- prompt = Prompt.LICENSE_LIST_FILTER + f"""
- 请根据上述逻辑，分析以下商品是否为授权生产的，并输出结果：
- 商品名称: {title}
- 已生产的产品清单：
- {license_list_str}
-
- 输出结果：
- - 如果找到匹配项则输出：
- ```json
- {{
- "in_list": true,
- "march_product": 匹配到的产品
- }}
- ```
- - 如果未找到匹配项则输出:
- ```json
- {{
- "in_list": false
- }}
- ```
- """
- response = self.glm.text_response(prompt)
- response = response.content.replace(' ', '').replace('\n', '').replace('\t', '').replace(":", ": ")
- return response
-
- def image_logo_judgement(self, logo_path, image_url):
- """判断图像中是否有指定品牌的logo"""
- self.glm.set_modelname("glm-4v-plus-0111")
- prompt = Prompt.IMAGE_LOGO_JUDGEMENT
- response = self.glm.multi_epoch_image_response(logo_path, image_url, prompt)
- response = response.content
-
- return response
-
- def product_image_similarity_judgement(self, image_url1, image_url2):
- """判断两个图像中的产品是否一致"""
- self.glm.set_modelname("glm-4v-plus-0111")
- prompt = Prompt.PRODUCT_JUDGEMENT
- response = self.glm.image_response(prompt, image_url1, image_url2)
- response = response.content
-
- return response
-
- def get_log_from_product_images(self, image_url_list):
- """从产品图像中获取商标信息"""
- self.glm.set_modelname("glm-4v-plus-0111")
- prompt = Prompt.LOGO_FROM_PRODUCTS
- response = self.glm.images_response(prompt, image_url_list)
- response = response.content
-
- return response
-
- if __name__ == "__main__":
- agent = Agent()
- # image_url1 = 'http://h2.appsimg.com/a.appsimg.com/upload/merchandise/pdcvis/613214/2024/0902/118/27466cf6-fb28-4580-9009-95a3763e06bf.jpg'
- # image_url2 = 'http://h2.appsimg.com/a.appsimg.com/upload/merchandise/pdcvis/613214/2024/1120/169/8ca15632-9cb9-40e7-8915-e6773e17a05e.jpg'
- # agent.product_image_similarity_judgement(image_url1, image_url2)
-
- image_url_list = [
- "https://gw.alicdn.com/imgextra/O1CN01EFpxoy1JdrhyyD8Gp_!!3378851052.jpg_q95.jpg_.webp",
- "https://img.alicdn.com/imgextra/i2/3378851052/O1CN01N1VBKz1JdriDQ7v3s_!!3378851052.jpg_q75.jpg_.webp",
- "https://img.alicdn.com/imgextra/i4/3378851052/O1CN01d1T16h1JdriBxQW8j_!!3378851052.jpg_q75.jpg_.webp",
- "https://img.alicdn.com/imgextra/i4/3378851052/O1CN01O5Gb861JdriAyGLo0_!!3378851052.jpg_q75.jpg_.webp",
- "https://img.alicdn.com/imgextra/i1/3378851052/O1CN01WT8Kg81JdriDTZ4lq_!!3378851052.jpg_q75.jpg_.webp",
- "https://img.alicdn.com/imgextra/i2/3378851052/O1CN01v4KL0D1JdriCrG3SH_!!3378851052.jpg_q75.jpg_.webp"
- ]
- response = agent.get_log_from_product_images(image_url_list)
- print(response)
-
- # ["http://h2.appsimg.com/a.appsimg.com/upload/merchandise/pdcvis/613214/2024/1120/88/9b9027dd-95b7-4024-b71e-fb7cbfde16a1.jpg",
- # "http://h2.appsimg.com/a.appsimg.com/upload/merchandise/pdcvis/613214/2024/0902/118/27466cf6-fb28-4580-9009-95a3763e06bf.jpg",
- # "http://h2.appsimg.com/a.appsimg.com/upload/merchandise/pdcvis/613214/2024/1120/169/8ca15632-9cb9-40e7-8915-e6773e17a05e.jpg",
- # "http://h2.appsimg.com/a.appsimg.com/upload/merchandise/pdcvis/613214/2024/1120/91/d42ae626-8606-4e29-8a75-a247ab6be790.jpg"]
|
