2.17 增加读文件pdf接口测试1
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@ -5,7 +5,7 @@ import time
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from dashscope import Assistants, Messages, Runs, Threads
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from llama_index.indices.managed.dashscope import DashScopeCloudRetriever
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from flask_app.general.llm.大模型通用函数 import read_txt_to_string
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from flask_app.general.llm.通义千问long import qianwen_long, upload_file
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from flask_app.general.llm.通义千问long import qianwen_long, upload_file, qianwen_long_stream
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from flask_app.general.llm.qianwen_plus import qianwen_plus
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def read_questions_from_file(file_path):
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@ -126,8 +126,8 @@ def llm_call(question, knowledge_name,file_id, result_queue, ans_index, llm_type
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result_queue.put((ans_index, (question, ans))) # 在队列中添加索引 (question, ans)
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elif llm_type==2:
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# print(f"qianwen_long! question:{question}")
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# qianwen_res,usage = qianwen_long(file_id,question) #有bug
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qianwen_res = qianwen_long(file_id, question,2,1,need_extra)
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qianwen_res = qianwen_long_stream(file_id, question,2,1,need_extra) #流式返回
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# qianwen_res = qianwen_long(file_id, question,2,1,need_extra) #非流式
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if not qianwen_res:
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result_queue.put((ans_index, None)) # 如果为空字符串,直接返回 None
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else:
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@ -74,7 +74,7 @@ def qianwen_long(file_id, user_query, max_retries=2, backoff_factor=1.0, need_ex
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],
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stream=False
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)
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token_usage = completion.usage.completion_tokens
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token_usage = completion.usage.completion_tokens #生成的tokens,不算输入的
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# 如果调用成功,返回响应内容
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if need_extra:
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return completion.choices[0].message.content, token_usage
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@ -142,7 +142,6 @@ def qianwen_long_stream(file_id, user_query, max_retries=2, backoff_factor=1.0,
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- 当 need_extra=False 时: 返回响应内容 (str)
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- 当 need_extra=True 时: 返回 (响应内容, token_usage)
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"""
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print("调用 qianwen-long stream...")
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client = OpenAI(
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api_key=os.getenv("DASHSCOPE_API_KEY"),
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@ -181,7 +180,7 @@ def qianwen_long_stream(file_id, user_query, max_retries=2, backoff_factor=1.0,
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# 处理 usage 信息
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usage = chunk_data.get('usage')
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if usage is not None:
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completion_tokens = usage.get('completion_tokens', 0)
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completion_tokens = usage.get('completion_tokens', 0) #生成的tokens,不算输入的
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# 处理 choices 信息
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choices = chunk_data.get('choices', [])
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@ -29,7 +29,7 @@ def fetch_procurement_reqs(procurement_path, invalid_path):
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page_count = get_pdf_page_count(procurement_path)
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if page_count > 60: #转换过多,消耗的tokens 以及 文档转换的费用过高!退而求其次用qianwen-long
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tech_model_type = 2 # long
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tech_model_type = 2 # long-stream
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busi_model_type = 3 # long-stream
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processed_filepath = ""
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# 如果procurement_path截取成功,则更新invalid_path
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