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模块化封装

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Your Name 2023-03-24 18:04:59 +08:00
parent 86924fffa5
commit 7186d9b17e
6 changed files with 194 additions and 160 deletions
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4
crazy_functions/生成函数注释.py
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@ -1,5 +1,5 @@
from predict import predict_no_ui
from toolbox import CatchException, report_execption, write_results_to_file
from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down
fast_debug = False
@ -21,7 +21,7 @@ def 生成函数注释(file_manifest, project_folder, top_p, temperature, chatbo
# ** 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]

147
crazy_functions/解析项目源代码.py Normal file
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@ -0,0 +1,147 @@
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
@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):
# 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'
@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)

6
crazy_functions/读文章写摘要.py
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@ -1,5 +1,5 @@
from predict import predict_no_ui
from toolbox import CatchException, report_execption, write_results_to_file
from toolbox import CatchException, report_execption, write_results_to_file, predict_no_ui_but_counting_down
fast_debug = False
@ -22,7 +22,7 @@ def 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, hist
# ** 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]
@ -46,7 +46,7 @@ def 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, hist
# ** 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]

17
crazy_functions/高级功能函数模板.py Normal file
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@ -0,0 +1,17 @@
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
@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

158
functional_crazy.py
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@ -1,161 +1,11 @@
from predict import predict_no_ui
from toolbox import CatchException, report_execption, write_results_to_file
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)
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 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'
res = write_results_to_file(history)
chatbot.append(("完成了吗？", res))
yield chatbot, history, '正常'
@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
from crazy_functions.解析项目源代码 import 解析项目本身
from crazy_functions.解析项目源代码 import 解析一个Python项目
from crazy_functions.解析项目源代码 import 解析一个C项目的头文件
from crazy_functions.高级功能函数模板 import 高阶功能模板函数
return {
"[实验功能] 请解析并解构此项目本身": {

22
toolbox.py
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@ -1,7 +1,27 @@
import markdown, mdtex2html
import markdown, mdtex2html, threading
from show_math import convert as convert_math
from functools import wraps
def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]):
"""
调用简单的predict_no_ui接口，但是依然保留了些许界面心跳功能
"""
import time
try: from config_private import TIMEOUT_SECONDS
except: from config import TIMEOUT_SECONDS
from predict import predict_no_ui
mutable = [None]
def mt(): mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
thread_name = threading.Thread(target=mt); thread_name.start()
cnt = 0
while thread_name.is_alive():
cnt += 1
chatbot[-1] = (i_say_show_user, f"[Local Message] waiting gpt response {cnt}/{TIMEOUT_SECONDS*2}"+''.join(['.']*(cnt%4)))
yield chatbot, history, '正常'
time.sleep(1)
gpt_say = mutable[0]
return gpt_say
def write_results_to_file(history, file_name=None):
"""
将对话记录history以Markdown格式写入文件中。如果没有指定文件名，则使用当前时间生成文件名。