修复代码英文重构Bug

.gitignore

@@ -140,3 +140,4 @@ gpt_log
 private.md
 private_upload
 other_llms
+cradle.py

crazy_functions/代码重写为全英文_多线程.py

@@ -1,41 +1,126 @@
 import threading
 from predict import predict_no_ui_long_connection
-from toolbox import CatchException, write_results_to_file
+from toolbox import CatchException, write_results_to_file, report_execption
 
+def extract_code_block_carefully(txt):
+    splitted = txt.split('```')
+    n_code_block_seg = len(splitted) - 1
+    if n_code_block_seg <= 1: return txt
+    # 剩下的情况都开头除去 ``` 结尾除去一次 ```
+    txt_out = '```'.join(splitted[1:-1])
+    return txt_out
+
+def breakdown_txt_to_satisfy_token_limit(txt, limit, must_break_at_empty_line=True):
+    from transformers import GPT2TokenizerFast
+    tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
+    get_token_cnt = lambda txt: len(tokenizer(txt)["input_ids"])
+    def cut(txt_tocut, must_break_at_empty_line): # 递归
+        if get_token_cnt(txt_tocut) <= limit:
+            return [txt_tocut]
+        else:
+            lines = txt_tocut.split('\n')
+            estimated_line_cut = limit / get_token_cnt(txt_tocut)  * len(lines)
+            estimated_line_cut = int(estimated_line_cut)
+            for cnt in reversed(range(estimated_line_cut)):
+                if must_break_at_empty_line: 
+                    if lines[cnt] != "": continue
+                print(cnt)
+                prev = "\n".join(lines[:cnt])
+                post = "\n".join(lines[cnt:])
+                if get_token_cnt(prev) < limit: break
+            if cnt == 0:
+                print('what the f?')
+                raise RuntimeError("存在一行极长的文本！")
+            print(len(post))
+            # 列表递归接龙
+            result = [prev]
+            result.extend(cut(post, must_break_at_empty_line))
+            return result
+    try:
+        return cut(txt, must_break_at_empty_line=True)
+    except RuntimeError:
+        return cut(txt, must_break_at_empty_line=False)
+
+
+def break_txt_into_half_at_some_linebreak(txt):
+    lines = txt.split('\n')
+    n_lines = len(lines)
+    pre = lines[:(n_lines//2)]
+    post = lines[(n_lines//2):]
+    return "\n".join(pre), "\n".join(post)
 
 
 @CatchException
 def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt, WEB_PORT):
-    history = []    # 清空历史，以免输入溢出
+    # 第1步：清空历史，以免输入溢出
-    # 集合文件
+    history = []
-    import time, glob, os
+
+    # 第2步：尝试导入依赖，如果缺少依赖，则给出安装建议
+    try:
+        import openai, transformers
+    except:
+        report_execption(chatbot, history, 
+            a = f"解析项目: {txt}", 
+            b = f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade openai transformers```。")
+        yield chatbot, history, '正常'
+        return
+
+    # 第3步：集合文件
+    import time, glob, os, shutil, re, openai
     os.makedirs('gpt_log/generated_english_version', exist_ok=True)
     os.makedirs('gpt_log/generated_english_version/crazy_functions', exist_ok=True)
     file_manifest = [f for f in glob.glob('./*.py') if ('test_project' not in f) and ('gpt_log' not in f)] + \
                     [f for f in glob.glob('./crazy_functions/*.py') if ('test_project' not in f) and ('gpt_log' not in f)]
+    # file_manifest = ['./toolbox.py']
     i_say_show_user_buffer = []
 
-    # 随便显示点什么防止卡顿的感觉
+    # 第4步：随便显示点什么防止卡顿的感觉
     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()
-        i_say_show_user =f'[{index}/{len(file_manifest)}] 接下来请将以下代码中包含的所有中文转化为英文，只输出代码: {os.path.abspath(fp)}'
+        i_say_show_user =f'[{index}/{len(file_manifest)}] 接下来请将以下代码中包含的所有中文转化为英文，只输出转化后的英文代码，请用代码块输出代码: {os.path.abspath(fp)}'
         i_say_show_user_buffer.append(i_say_show_user)
         chatbot.append((i_say_show_user, "[Local Message] 等待多线程操作，中间过程不予显示."))
         yield chatbot, history, '正常'
 
-    # 任务函数
+
+    # 第5步：Token限制下的截断与处理
+    MAX_TOKEN = 2500
+    # from transformers import GPT2TokenizerFast
+    # print('加载tokenizer中')
+    # tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
+    # get_token_cnt = lambda txt: len(tokenizer(txt)["input_ids"])
+    # print('加载tokenizer结束')
+
+
+    # 第6步：任务函数
     mutable_return = [None for _ in file_manifest]
+    observe_window = [[""] for _ in file_manifest]
     def thread_worker(fp,index):
+        if index > 10: 
+            time.sleep(60)
+            print('Openai 限制免费用户每分钟20次请求，降低请求频率中。')
         with open(fp, 'r', encoding='utf-8') as f:
             file_content = f.read()
-        i_say = f'接下来请将以下代码中包含的所有中文转化为英文，只输出代码，文件名是{fp}，文件代码是 ```{file_content}```'
+        i_say_template = lambda fp, file_content: f'接下来请将以下代码中包含的所有中文转化为英文，只输出代码，文件名是{fp}，文件代码是 ```{file_content}```'
-        # ** gpt request **
+        try:
-        gpt_say = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=history, sys_prompt=sys_prompt)
+            gpt_say = ""
-        mutable_return[index] = gpt_say
+            # 分解代码文件
+            file_content_breakdown = breakdown_txt_to_satisfy_token_limit(file_content, MAX_TOKEN)
+            for file_content_partial in file_content_breakdown:
+                i_say = i_say_template(fp, file_content_partial)
+                # # ** gpt request **
+                gpt_say_partial = predict_no_ui_long_connection(inputs=i_say, top_p=top_p, temperature=temperature, history=[], sys_prompt=sys_prompt, observe_window=observe_window[index])
+                gpt_say_partial = extract_code_block_carefully(gpt_say_partial)
+                gpt_say += gpt_say_partial
+            mutable_return[index] = gpt_say
+        except ConnectionAbortedError as token_exceed_err:
+            print('至少一个线程任务Token溢出而失败', e)
+        except Exception as e:
+            print('至少一个线程任务意外失败', e)
 
-    # 所有线程同时开始执行任务函数
+    # 第7步：所有线程同时开始执行任务函数
     handles = [threading.Thread(target=thread_worker, args=(fp,index)) for index, fp in enumerate(file_manifest)]
     for h in handles:
         h.daemon = True
@@ -43,19 +128,23 @@ def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt,
     chatbot.append(('开始了吗？', f'多线程操作已经开始'))
     yield chatbot, history, '正常'
 
-    # 循环轮询各个线程是否执行完毕
+    # 第8步：循环轮询各个线程是否执行完毕
     cnt = 0
     while True:
-        time.sleep(1)
+        cnt += 1
+        time.sleep(0.2)
         th_alive = [h.is_alive() for h in handles]
         if not any(th_alive): break
-        stat = ['执行中' if alive else '已完成' for alive in th_alive]
+        # 更好的UI视觉效果
-        stat_str = '|'.join(stat)
+        observe_win = []
-        cnt += 1
+        for thread_index, alive in enumerate(th_alive): 
-        chatbot[-1] = (chatbot[-1][0], f'多线程操作已经开始，完成情况: {stat_str}' + ''.join(['.']*(cnt%4)))
+            observe_win.append("[ ..."+observe_window[thread_index][0][-60:].replace('\n','').replace('```','...').replace(' ','.').replace('<br/>','.....').replace('$','.')+"... ]")
+        stat = [f'执行中: {obs}\n\n' if alive else '已完成\n\n' for alive, obs in zip(th_alive, observe_win)]
+        stat_str = ''.join(stat)
+        chatbot[-1] = (chatbot[-1][0], f'多线程操作已经开始，完成情况: \n\n{stat_str}' + ''.join(['.']*(cnt%10+1)))
         yield chatbot, history, '正常'
 
-    # 把结果写入文件
+    # 第9步：把结果写入文件
     for index, h in enumerate(handles):
         h.join() # 这里其实不需要join了，肯定已经都结束了
         fp = file_manifest[index]
@@ -63,13 +152,17 @@ def 全项目切换英文(txt, top_p, temperature, chatbot, history, sys_prompt,
         i_say_show_user = i_say_show_user_buffer[index]
 
         where_to_relocate = f'gpt_log/generated_english_version/{fp}'
-        with open(where_to_relocate, 'w+', encoding='utf-8') as f: f.write(gpt_say.lstrip('```').rstrip('```'))
+        if gpt_say is not None:
+            with open(where_to_relocate, 'w+', encoding='utf-8') as f:  
+                f.write(gpt_say)
+        else:  # 失败
+            shutil.copyfile(file_manifest[index], where_to_relocate)
         chatbot.append((i_say_show_user, f'[Local Message] 已完成{os.path.abspath(fp)}的转化，\n\n存入{os.path.abspath(where_to_relocate)}'))
         history.append(i_say_show_user); history.append(gpt_say)
         yield chatbot, history, '正常'
         time.sleep(1)
 
-    # 备份一个文件
+    # 第10步：备份一个文件
     res = write_results_to_file(history)
     chatbot.append(("生成一份任务执行报告", res))
     yield chatbot, history, '正常'

predict.py

@@ -71,9 +71,10 @@ def predict_no_ui(inputs, top_p, temperature, history=[], sys_prompt=""):
         raise ConnectionAbortedError("Json解析不合常规，可能是文本过长" + response.text)
 
 
-def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_prompt=""):
+def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_prompt="", observe_window=None):
     """
         发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免有人中途掐网线。
+        observe_window：用于负责跨越线程传递已经输出的部分，大部分时候仅仅为了fancy的视觉效果，留空即可
     """
     headers, payload = generate_payload(inputs, top_p, temperature, history, system_prompt=sys_prompt, stream=True)
 
@@ -105,7 +106,10 @@ def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_pr
         delta = json_data["delta"]
         if len(delta) == 0: break
         if "role" in delta: continue
-        if "content" in delta: result += delta["content"]; print(delta["content"], end='')
+        if "content" in delta: 
+            result += delta["content"]
+            print(delta["content"], end='')
+            if observe_window is not None: observe_window[0] += delta["content"]
         else: raise RuntimeError("意外Json结构："+delta)
     if json_data['finish_reason'] == 'length':
         raise ConnectionAbortedError("正常结束，但显示Token不足。")

requirements.txt

@@ -3,3 +3,5 @@ requests[socks]
 mdtex2html
 Markdown
 latex2mathml
+openai
+transformers