正确地显示requests错误

.vscode/launch.json

@@ -0,0 +1,16 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal",
+            "justMyCode": false
+        }
+    ]
+}

functional.py

@@ -12,7 +12,7 @@ def get_functionals():
 improve the spelling, grammar, clarity, concision and overall readability. When neccessary, rewrite the whole sentence. \
 Furthermore, list all modification and explain the reasons to do so in markdown table.\n\n",    # 前言
             "Suffix": "",   # 后语
-            "Color": "stop",    # 按钮颜色
+            "Color": "secondary",    # 按钮颜色
         },
         "中文学术润色": {
             "Prefix": "作为一名中文学术论文写作改进助理，你的任务是改进所提供文本的拼写、语法、清晰、简洁和整体可读性，同时分解长句，减少重复，并提供改进建议。请只提供文本的更正版本，避免包括解释。请编辑以下文本：\n\n",
@@ -35,7 +35,7 @@ For phrases or individual words that require translation, provide the source (di
 separate them using the | symbol.Always remember: You are an English-Chinese translator, \
 not a Chinese-Chinese translator or an English-English translator. Below is the text you need to translate: \n\n",
             "Suffix": "",
-            "Color": "stop",
+            "Color": "secondary",
         },
         "中译英": {
             "Prefix": "Please translate following sentence to English: \n\n",
@@ -52,7 +52,7 @@ not a Chinese-Chinese translator or an English-English translator. Below is the
         "解释代码": {
             "Prefix": "请解释以下代码：\n```\n",
             "Suffix": "\n```\n",
-            "Color": "stop",
+            "Color": "secondary",
         },
     }
 

functional_crazy.py

@@ -3,6 +3,9 @@
 # 'secondary' for a more subdued style, 
 # 'stop' for a stop button.
 # """
+
+fast_debug = False
+
 def 自我程序解构简单案例(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
     import time
     from predict import predict_no_ui_no_history
@@ -25,90 +28,154 @@ def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTx
             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 = f'请对下面的程序文件做一个概述: ```{file_content}```'
-        i_say_show_user = 前言 + f'请对下面的程序文件做一个概述: {os.path.abspath(fp)}'
+        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, "[waiting gpt response]"))
         yield chatbot, history, '正常'
 
-        # ** gpt request **
-        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
+        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)
+            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, "[waiting gpt response]"))
     yield chatbot, history, '正常'
 
-    # ** gpt request **
-    gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
+    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'
+        chatbot[-1] = (i_say, gpt_say)
+        history.append(i_say); history.append(gpt_say)
+        yield chatbot, history, '正常'
 
+def report_execption(chatbot, history, a, b):
+    chatbot.append((a, b))
+    history.append(a); history.append(b)
 
-def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
+
+
+
+
+def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot, history, systemPromptTxt):
     import time, glob, os
     from predict import predict_no_ui
-    if os.path.exists(txt):
-        project_folder = txt
-    else:
-        if txt == "": txt = '空空如也的输入栏'
-        chatbot.append((f"解析项目: {txt}", f"找不到本地项目: {txt}"))
-        history.append(f"解析项目: {txt}"); history.append(f"找不到本地项目: {txt}")
-        yield chatbot, history, '正常'
-        return
-
-    file_manifest = [f for f in glob.glob(f'{project_folder}/*.py')]
     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Python工程" if index==0 else ""
-        i_say = f'请对下面的程序文件做一个概述: ```{file_content}```'
+        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, "[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, "[waiting gpt response]"))
+    yield chatbot, history, '正常'
+
+    if not fast_debug: 
+        msg = '正常'
         # ** gpt request **
-        gpt_say = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature)
+        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
+
 
-        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')
+
+def 解析一个Python项目(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
+    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: {txt}")
         yield chatbot, history, '正常'
-        print('[4] next')
-        time.sleep(2)
+        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)
 
-    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, "[waiting gpt response]"))
-    yield chatbot, history, '正常'
 
-    # ** 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 解析一个C项目的头文件(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
+    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: {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/.cpp/.c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():
     return {
         "程序解构简单案例": {
+            "Color": "stop",    # 按钮颜色
             "Function": 自我程序解构简单案例
         },
         "请解析并解构此项目本身": {
+            "Color": "stop",    # 按钮颜色
             "Function": 解析项目本身
         },
         "解析一整个Python项目（输入栏给定项目完整目录）": {
+            "Color": "stop",    # 按钮颜色
             "Function": 解析一个Python项目
         },
+        "解析一整个C++项目的头文件（输入栏给定项目完整目录）": {
+            "Color": "stop",    # 按钮颜色
+            "Function": 解析一个C项目的头文件
+        },
+
     }
 
 

predict.py

@@ -14,6 +14,13 @@ except: from config import proxies, API_URL, API_KEY, TIMEOUT_SECONDS
 
 timeout_bot_msg = 'Request timeout, network error. please check proxy settings in config.py.'
 
+def get_full_error(chunk, stream_response):
+    while True:
+        try:
+            chunk += next(stream_response)
+        except:
+            break
+    return chunk
 
 def predict_no_ui(inputs, top_p, temperature, history=[]):
     messages = [{"role": "system", "content": ""}]
@@ -60,10 +67,17 @@ def predict_no_ui(inputs, top_p, temperature, history=[]):
         # make a POST request to the API endpoint using the requests.post method, passing in stream=True
         response = requests.post(API_URL, headers=headers, proxies=proxies,
                                 json=payload, stream=True, timeout=TIMEOUT_SECONDS*2)
-    except:
+    except Exception as e:
+        traceback.print_exc()
         raise TimeoutError
-        
-    return json.loads(response.text)["choices"][0]["message"]["content"]
+
+    try:
+        result = json.loads(response.text)["choices"][0]["message"]["content"]
+        return result
+    except Exception as e:
+        if "choices" not in response.text: print(response.text)
+        raise ConnectionAbortedError("Json解析不合常规，可能是文本过长" + response.text)
+
 
 
 
@@ -163,11 +177,6 @@ def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt=''
                     if len(json.loads(chunk.decode()[6:])['choices'][0]["delta"]) == 0:
                         logging.info(f'[response] {chatbot[-1][-1]}')
                         break
-                except Exception as e:
-                    traceback.print_exc()
-                    print(chunk.decode())
-
-                try:
                     chunkjson = json.loads(chunk.decode()[6:])
                     status_text = f"finish_reason: {chunkjson['choices'][0]['finish_reason']}"
                     partial_words = partial_words + json.loads(chunk.decode()[6:])['choices'][0]["delta"]["content"]
@@ -181,5 +190,12 @@ def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt=''
 
                 except Exception as e:
                     traceback.print_exc()
-                    print(chunk.decode())
-                    yield chatbot, history, "Json解析不合常规"
+                    yield chatbot, history, "Json解析不合常规，很可能是文本过长"
+                    chunk = get_full_error(chunk, stream_response)
+                    error_msg = chunk.decode()
+                    if "reduce the length" in error_msg:
+                        chatbot[-1] = (history[-1], "老铁，输入的文本太长了")
+                    yield chatbot, history, "Json解析不合常规，很可能是文本过长" + error_msg
+                    return
+
+