File size: 4,410 Bytes
f238a34
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
from functools import wraps
from predict import predict_no_ui
fast_debug = False


def report_execption(chatbot, history, a, b):
    chatbot.append((a, b))
    history.append(a); history.append(b)

# 捕获不能预料的异常
def CatchException(f):
    @wraps(f)
    def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
        try:
            yield from f(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT)
        except Exception as e:
            import traceback
            tb_str = traceback.format_exc()
            chatbot[-1] = (chatbot[-1][0], f"[Local Message] something error occured: \n {tb_str}")
            yield chatbot, history, f'异常 {e}'
    return decorated

def 解析Paper(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论文文件,概括其内容" if index==0 else ""
        i_say = 前言 + f'请对下面的文章片段用中文做一个概述,文件名是{os.path.relpath(fp, project_folder)},文章内容是 ```{file_content}```'
        i_say_show_user = 前言 + f'[{index}/{len(file_manifest)}] 请对下面的文章片段做一个概述: {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,对全文进行概括,用学术性语言写一段中文摘要,然后再写一段英文摘要(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




@CatchException
def 读文章写摘要(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}/**/*.tex', 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.tex文件: {txt}")
        yield chatbot, history, '正常'
        return
    yield from 解析Paper(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt)