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from predict import predict_no_ui | |
from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down | |
fast_debug = False | |
def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt): | |
import time, glob, os | |
print('begin analysis on:', file_manifest) | |
for index, fp in enumerate(file_manifest): | |
with open(fp, 'r', encoding='utf-8') as f: | |
file_content = f.read() | |
前言 = "接下来请你逐文件分析下面的工程" if index==0 else "" | |
i_say = 前言 + 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}```' | |
i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}' | |
chatbot.append((i_say_show_user, "[Local Message] waiting gpt response.")) | |
print('[1] yield chatbot, history') | |
yield chatbot, history, '正常' | |
if not fast_debug: | |
msg = '正常' | |
# ** gpt request ** | |
while True: | |
try: | |
# gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) | |
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 | |
break | |
except ConnectionAbortedError as e: | |
i_say = i_say[:len(i_say)//2] | |
msg = '文件太长,进行了拦腰截断' | |
print('[2] end gpt req') | |
chatbot[-1] = (i_say_show_user, gpt_say) | |
history.append(i_say_show_user); history.append(gpt_say) | |
print('[3] yield chatbot, history') | |
yield chatbot, history, msg | |
print('[4] next') | |
if not fast_debug: time.sleep(2) | |
all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)]) | |
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})。' | |
chatbot.append((i_say, "[Local Message] waiting gpt response.")) | |
yield chatbot, history, '正常' | |
if not fast_debug: | |
msg = '正常' | |
# ** gpt request ** | |
while True: | |
try: | |
# gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history) | |
gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=history) # 带超时倒计时 | |
break | |
except ConnectionAbortedError as e: | |
history = [his[len(his)//2:] for his in history] | |
msg = '对话历史太长,每段历史拦腰截断' | |
chatbot[-1] = (i_say, gpt_say) | |
history.append(i_say); history.append(gpt_say) | |
yield chatbot, history, msg | |
res = write_results_to_file(history) | |
chatbot.append(("完成了吗?", res)) | |
yield chatbot, history, msg | |
def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): | |
history = [] # 清空历史,以免输入溢出 | |
import time, glob, os | |
file_manifest = [f for f in glob.glob('*.py')] | |
for index, fp in enumerate(file_manifest): | |
# if 'test_project' in fp: continue | |
with open(fp, 'r', encoding='utf-8') as f: | |
file_content = f.read() | |
前言 = "接下来请你分析自己的程序构成,别紧张," if index==0 else "" | |
i_say = 前言 + 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}```' | |
i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的程序文件做一个概述: {os.path.abspath(fp)}' | |
chatbot.append((i_say_show_user, "[Local Message] waiting gpt response.")) | |
yield chatbot, history, '正常' | |
if not fast_debug: | |
# ** gpt request ** | |
# gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) | |
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 | |
chatbot[-1] = (i_say_show_user, gpt_say) | |
history.append(i_say_show_user); history.append(gpt_say) | |
yield chatbot, history, '正常' | |
time.sleep(2) | |
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})。' | |
chatbot.append((i_say, "[Local Message] waiting gpt response.")) | |
yield chatbot, history, '正常' | |
if not fast_debug: | |
# ** gpt request ** | |
# gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history) | |
gpt_say = yield from predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=history) # 带超时倒计时 | |
chatbot[-1] = (i_say, gpt_say) | |
history.append(i_say); history.append(gpt_say) | |
yield chatbot, history, '正常' | |
res = write_results_to_file(history) | |
chatbot.append(("完成了吗?", res)) | |
yield chatbot, history, '正常' | |
def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): | |
history = [] # 清空历史,以免输入溢出 | |
import glob, os | |
if os.path.exists(txt): | |
project_folder = txt | |
else: | |
if txt == "": txt = '空空如也的输入栏' | |
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") | |
yield chatbot, history, '正常' | |
return | |
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.py', recursive=True)] | |
if len(file_manifest) == 0: | |
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何python文件: {txt}") | |
yield chatbot, history, '正常' | |
return | |
yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt) | |
def 解析一个C项目的头文件(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT): | |
history = [] # 清空历史,以免输入溢出 | |
import glob, os | |
if os.path.exists(txt): | |
project_folder = txt | |
else: | |
if txt == "": txt = '空空如也的输入栏' | |
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到本地项目或无权访问: {txt}") | |
yield chatbot, history, '正常' | |
return | |
file_manifest = [f for f in glob.glob(f'{project_folder}/**/*.h', recursive=True)] # + \ | |
# [f for f in glob.glob(f'{project_folder}/**/*.cpp', recursive=True)] + \ | |
# [f for f in glob.glob(f'{project_folder}/**/*.c', recursive=True)] | |
if len(file_manifest) == 0: | |
report_execption(chatbot, history, a = f"解析项目: {txt}", b = f"找不到任何.h头文件: {txt}") | |
yield chatbot, history, '正常' | |
return | |
yield from 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt) | |