gpt-academic / functional_crazy.py
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批量生成函数注释
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from predict import predict_no_ui
from toolbox import CatchException, report_execption, write_results_to_file
fast_debug = False
@CatchException
def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
history = [] # 清空历史,以免输入溢出
for i in range(5):
i_say = f'我给出一个数字,你给出该数字的平方。我给出数字:{i}'
chatbot.append((i_say, "[Local Message] waiting gpt response."))
yield chatbot, history, '正常' # 由于请求gpt需要一段时间,我们先及时地做一次状态显示
gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature) # 请求gpt,需要一段时间
chatbot[-1] = (i_say, gpt_say)
history.append(i_say);history.append(gpt_say)
yield chatbot, history, '正常' # 显示
@CatchException
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):
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)
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)
chatbot[-1] = (i_say, gpt_say)
history.append(i_say); history.append(gpt_say)
yield chatbot, history, '正常'
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)
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)
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
@CatchException
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)
@CatchException
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)
def get_crazy_functionals():
from crazy_functions.读文章写摘要 import 读文章写摘要
from crazy_functions.生成函数注释 import 批量生成函数注释
return {
"[实验功能] 请解析并解构此项目本身": {
"Function": 解析项目本身
},
"[实验功能] 解析整个Python项目(input输入项目根路径)": {
"Color": "stop", # 按钮颜色
"Function": 解析一个Python项目
},
"[实验功能] 解析整个C++项目的头文件(input输入项目根路径)": {
"Color": "stop", # 按钮颜色
"Function": 解析一个C项目的头文件
},
"[实验功能] 解读latex论文写摘要(input输入项目根路径)": {
"Color": "stop", # 按钮颜色
"Function": 读文章写摘要
},
"[实验功能] 批量生成函数注释(input输入项目根路径)": {
"Color": "stop", # 按钮颜色
"Function": 批量生成函数注释
},
"[实验功能] 高阶功能模板函数": {
"Color": "stop", # 按钮颜色
"Function": 高阶功能模板函数
},
}