当存在OPENAI_API_KEY环境变量时,启用AI评价
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@ -5,6 +5,7 @@
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# @File : auto_comment.py
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# @File : auto_comment.py
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# 多账号评价,异常处理
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# 多账号评价,异常处理
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# 2023/3/28 修复乱码
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# 2023/3/28 修复乱码
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# 2023/4/19 当存在OPENAI_API_KEY环境变量时,启用AI评价;网络环境问题自行想办法,国外机或配置ProxyUrl HTTP代理;
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'''
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'''
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new Env('自动评价');
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new Env('自动评价');
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8 8 2 1 * https://raw.githubusercontent.com/6dylan6/auto_comment/main/jd_comment.py
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8 8 2 1 * https://raw.githubusercontent.com/6dylan6/auto_comment/main/jd_comment.py
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@ -26,17 +27,20 @@ try:
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#import yaml
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#import yaml
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from lxml import etree
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from lxml import etree
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import zhon.hanzi
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import zhon.hanzi
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import openai
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except:
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except:
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print('解决依赖问题...稍等')
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print('解决依赖问题...稍等')
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os.system('pip3 install lxml &> /dev/null')
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os.system('pip3 install lxml &> /dev/null')
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os.system('pip3 install jieba &> /dev/null')
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os.system('pip3 install jieba &> /dev/null')
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os.system('pip3 install zhon &> /dev/null')
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os.system('pip3 install zhon &> /dev/null')
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os.system('pip3 install requests &> /dev/null')
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os.system('pip3 install requests &> /dev/null')
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os.system('pip3 install openai &> /dev/null')
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import jieba
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import jieba
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import jieba.analyse
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import jieba.analyse
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#import yaml
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#import yaml
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from lxml import etree
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from lxml import etree
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import requests
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import requests
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import openai
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import jdspider
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import jdspider
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@ -106,6 +110,8 @@ class StyleFormatter(logging.Formatter):
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# 评价生成
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# 评价生成
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def generation(pname, _class=0, _type=1, opts=None):
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def generation(pname, _class=0, _type=1, opts=None):
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if "OPENAI_API_KEY" in os.environ:
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return generation_ai(pname, opts)
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opts = opts or {}
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opts = opts or {}
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items = ['商品名']
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items = ['商品名']
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items.clear()
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items.clear()
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@ -163,6 +169,19 @@ def generation(pname, _class=0, _type=1, opts=None):
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return 5, comments.replace("$", name)
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return 5, comments.replace("$", name)
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# ChatGPT评价生成
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def generation_ai(pname, _class=0, _type=1, opts=None):
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os.environ['http_proxy'] = os.getenv("ProxyUrl")
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os.environ['https_proxy'] = os.getenv("ProxyUrl")
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openai.api_key = os.getenv("OPENAI_API_KEY")
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prompt = f"{pname} 写一段此商品的评价,简短、口语化"
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": prompt}],
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max_tokens=1024,
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)
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return 5, response.choices[0].message.content.strip()
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# 查询全部评价
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# 查询全部评价
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def all_evaluate(opts=None):
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def all_evaluate(opts=None):
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