提升稳定性
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@@ -2,92 +2,96 @@ from request_llm.bridge_chatgpt import predict_no_ui
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from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down
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fast_debug = False
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def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
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import time, glob, os
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print('begin analysis on:', file_manifest)
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def 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
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import os, copy
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from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, WithRetry
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msg = '正常'
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inputs_array = []
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inputs_show_user_array = []
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history_array = []
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sys_prompt_array = []
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report_part_1 = []
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############################## <第一步,逐个文件分析,多线程> ##################################
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for index, fp in enumerate(file_manifest):
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with open(fp, 'r', encoding='utf-8') as f:
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file_content = f.read()
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prefix = "接下来请你逐文件分析下面的工程" if index==0 else ""
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i_say = prefix + f'请对下面的程序文件做一个概述文件名是{os.path.relpath(fp, project_folder)},文件代码是 ```{file_content}```'
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i_say_show_user = prefix + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}'
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chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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yield chatbot, history, '正常'
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# 装载请求内容
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inputs_array.append(i_say)
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inputs_show_user_array.append(i_say_show_user)
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history_array.append([])
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sys_prompt_array.append("你是一个程序架构分析师,正在分析一个源代码项目。你的回答必须简单明了。")
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if not fast_debug:
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msg = '正常'
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gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
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inputs_array = inputs_array,
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inputs_show_user_array = inputs_show_user_array,
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history_array = history_array,
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sys_prompt_array = sys_prompt_array,
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top_p = top_p,
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temperature = temperature,
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chatbot = chatbot,
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show_user_at_complete = True
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)
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# ** gpt request **
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gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]) # 带超时倒计时
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report_part_1 = copy.deepcopy(gpt_response_collection)
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history_to_return = report_part_1
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res = write_results_to_file(report_part_1)
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chatbot.append(("完成?", "逐个文件分析已完成。" + res + "\n\n正在开始汇总。"))
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yield chatbot, history_to_return, msg
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chatbot[-1] = (i_say_show_user, gpt_say)
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history.append(i_say_show_user); history.append(gpt_say)
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yield chatbot, history, msg
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if not fast_debug: time.sleep(2)
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all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
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i_say = f'根据以上你自己的分析,对程序的整体功能和构架做出概括。然后用一张markdown表格整理每个文件的功能(包括{all_file})。'
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chatbot.append((i_say, "[Local Message] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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msg = '正常'
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# ** gpt request **
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gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say, chatbot, top_p, temperature, history=history) # 带超时倒计时
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chatbot[-1] = (i_say, gpt_say)
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history.append(i_say); history.append(gpt_say)
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yield chatbot, history, msg
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res = write_results_to_file(history)
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chatbot.append(("完成了吗?", res))
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yield chatbot, history, msg
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############################## <第二步,综合,单线程,分组+迭代处理> ##################################
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batchsize = 16 # 10个文件为一组
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report_part_2 = []
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previous_iteration_files = []
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while True:
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if len(file_manifest) == 0: break
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this_iteration_file_manifest = file_manifest[:batchsize]
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this_iteration_gpt_response_collection = gpt_response_collection[:batchsize*2]
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file_rel_path = [os.path.relpath(fp, project_folder) for index, fp in enumerate(this_iteration_file_manifest)]
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# 把“请对下面的程序文件做一个概述” 替换成 精简的 "文件名:{all_file[index]}"
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for index, content in enumerate(this_iteration_gpt_response_collection):
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if index%2==0: this_iteration_gpt_response_collection[index] = f"文件名:{file_rel_path[index//2]}"
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previous_iteration_files.extend([os.path.relpath(fp, project_folder) for index, fp in enumerate(this_iteration_file_manifest)])
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previous_iteration_files_string = ', '.join(previous_iteration_files)
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current_iteration_focus = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(this_iteration_file_manifest)])
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i_say = f'根据以上分析,对程序的整体功能和构架重新做出概括。然后用一张markdown表格整理每个文件的功能(包括{previous_iteration_files_string})。'
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inputs_show_user = f'根据以上分析,对程序的整体功能和构架重新做出概括,由于输入长度限制,可能需要分组处理,本组文件为 {current_iteration_focus} + 已经汇总的文件组。'
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this_iteration_history = copy.deepcopy(this_iteration_gpt_response_collection)
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this_iteration_history.extend(report_part_2)
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result = yield from request_gpt_model_in_new_thread_with_ui_alive(
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inputs=i_say, inputs_show_user=inputs_show_user, top_p=top_p, temperature=temperature, chatbot=chatbot,
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history=this_iteration_history, # 迭代之前的分析
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sys_prompt="你是一个程序架构分析师,正在分析一个源代码项目。")
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report_part_2.extend([i_say, result])
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file_manifest = file_manifest[batchsize:]
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gpt_response_collection = gpt_response_collection[batchsize*2:]
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############################## <END> ##################################
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history_to_return.extend(report_part_2)
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res = write_results_to_file(history_to_return)
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chatbot.append(("完成了吗?", res))
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yield chatbot, history_to_return, msg
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@CatchException
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def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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history = [] # 清空历史,以免输入溢出
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import time, glob, os
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import glob
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file_manifest = [f for f in glob.glob('./*.py') if ('test_project' not in f) and ('gpt_log' not in f)] + \
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[f for f in glob.glob('./crazy_functions/*.py') if ('test_project' not in f) and ('gpt_log' not in f)]
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for index, fp in enumerate(file_manifest):
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# if 'test_project' in fp: continue
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with open(fp, 'r', encoding='utf-8') as f:
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file_content = f.read()
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prefix = "接下来请你分析自己的程序构成,别紧张," if index==0 else ""
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i_say = prefix + f'请对下面的程序文件做一个概述文件名是{fp},文件代码是 ```{file_content}```'
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i_say_show_user = prefix + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}'
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chatbot.append((i_say_show_user, "[Local Message] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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# ** gpt request **
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# gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
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gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], long_connection=True) # 带超时倒计时
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chatbot[-1] = (i_say_show_user, gpt_say)
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history.append(i_say_show_user); history.append(gpt_say)
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yield chatbot, history, '正常'
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time.sleep(2)
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i_say = f'根据以上你自己的分析,对程序的整体功能和构架做出概括。然后用一张markdown表格整理每个文件的功能(包括{file_manifest})。'
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chatbot.append((i_say, "[Local Message] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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# ** gpt request **
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# gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
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gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say, chatbot, top_p, temperature, history=history, long_connection=True) # 带超时倒计时
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chatbot[-1] = (i_say, gpt_say)
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history.append(i_say); history.append(gpt_say)
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yield chatbot, history, '正常'
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res = write_results_to_file(history)
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chatbot.append(("完成了吗?", res))
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[f for f in glob.glob('./crazy_functions/*.py') if ('test_project' not in f) and ('gpt_log' not in f)]+ \
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[f for f in glob.glob('./request_llm/*.py') if ('test_project' not in f) and ('gpt_log' not in f)]
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project_folder = './'
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if len(file_manifest) == 0:
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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@CatchException
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def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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@@ -105,7 +109,7 @@ def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPr
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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@CatchException
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@@ -126,7 +130,7 @@ def 解析一个C项目的头文件(txt, top_p, temperature, chatbot, history, s
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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@CatchException
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def 解析一个C项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
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@@ -147,7 +151,7 @@ def 解析一个C项目(txt, top_p, temperature, chatbot, history, systemPromptT
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report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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@CatchException
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@@ -169,7 +173,7 @@ def 解析一个Java项目(txt, top_p, temperature, chatbot, history, systemProm
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report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何java文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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@CatchException
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@@ -192,7 +196,7 @@ def 解析一个Rect项目(txt, top_p, temperature, chatbot, history, systemProm
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report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何Rect文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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@CatchException
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@@ -211,4 +215,4 @@ def 解析一个Golang项目(txt, top_p, temperature, chatbot, history, systemPr
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report_execption(chatbot, history, a=f"解析项目: {txt}", b=f"找不到任何golang文件: {txt}")
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yield chatbot, history, '正常'
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return
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yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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yield from 解析源代码新(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)
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