auto retry
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1b6d611888
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@ -18,6 +18,9 @@ TIMEOUT_SECONDS = 20
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# 网页的端口, -1代表随机端口
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WEB_PORT = -1
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# 如果OpenAI不响应(网络卡顿、代理失败、KEY失效),重试的次数限制
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MAX_RETRY = 2
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# 检查一下是不是忘了改config
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if API_KEY == "sk-此处填API秘钥":
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assert False, "请在config文件中修改API密钥, 添加海外代理之后再运行"
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@ -30,7 +30,7 @@ def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTx
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前言 = "接下来请你分析自己的程序构成,别紧张," if index==0 else ""
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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}```'
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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)}'
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chatbot.append((i_say_show_user, "[waiting gpt response]"))
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chatbot.append((i_say_show_user, "[local] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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@ -43,7 +43,7 @@ def 解析项目本身(txt, top_p, temperature, chatbot, history, systemPromptTx
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time.sleep(2)
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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})。'
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chatbot.append((i_say, "[waiting gpt response]"))
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chatbot.append((i_say, "[local] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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@ -73,7 +73,7 @@ def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot,
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前言 = "接下来请你逐文件分析下面的工程" if index==0 else ""
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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}```'
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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)}'
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chatbot.append((i_say_show_user, "[waiting gpt response]"))
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chatbot.append((i_say_show_user, "[local] waiting gpt response."))
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print('[1] yield chatbot, history')
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yield chatbot, history, '正常'
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@ -98,7 +98,7 @@ def 解析源代码(file_manifest, project_folder, top_p, temperature, chatbot,
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all_file = ', '.join([os.path.relpath(fp, project_folder) for index, fp in enumerate(file_manifest)])
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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})。'
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chatbot.append((i_say, "[waiting gpt response]"))
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chatbot.append((i_say, "[local] waiting gpt response."))
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yield chatbot, history, '正常'
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if not fast_debug:
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47
predict.py
47
predict.py
@ -9,10 +9,10 @@ import importlib
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# config_private.py放自己的秘密如API和代理网址
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# 读取时首先看是否存在私密的config_private配置文件(不受git管控),如果有,则覆盖原config文件
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try: from config_private import proxies, API_URL, API_KEY, TIMEOUT_SECONDS
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except: from config import proxies, API_URL, API_KEY, TIMEOUT_SECONDS
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try: from config_private import proxies, API_URL, API_KEY, TIMEOUT_SECONDS, MAX_RETRY
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except: from config import proxies, API_URL, API_KEY, TIMEOUT_SECONDS, MAX_RETRY
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timeout_bot_msg = 'Request timeout, network error. please check proxy settings in config.py.'
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timeout_bot_msg = '[local] Request timeout, network error. please check proxy settings in config.py.'
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def get_full_error(chunk, stream_response):
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while True:
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@ -63,13 +63,18 @@ def predict_no_ui(inputs, top_p, temperature, history=[]):
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"Content-Type": "application/json",
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"Authorization": f"Bearer {API_KEY}"
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}
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try:
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# make a POST request to the API endpoint using the requests.post method, passing in stream=True
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response = requests.post(API_URL, headers=headers, proxies=proxies,
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json=payload, stream=True, timeout=TIMEOUT_SECONDS*2)
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except Exception as e:
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traceback.print_exc()
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raise TimeoutError
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retry = 0
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while True:
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try:
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# make a POST request to the API endpoint using the requests.post method, passing in stream=True
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response = requests.post(API_URL, headers=headers, proxies=proxies,
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json=payload, stream=False, timeout=TIMEOUT_SECONDS*2); break
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except TimeoutError as e:
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retry += 1
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traceback.print_exc()
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if MAX_RETRY!=0: print(f'请求超时,正在重试 ({retry}/{MAX_RETRY}) ……')
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if retry > MAX_RETRY: raise TimeoutError
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try:
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result = json.loads(response.text)["choices"][0]["message"]["content"]
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@ -146,14 +151,18 @@ def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt=''
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history.append(inputs)
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try:
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# make a POST request to the API endpoint using the requests.post method, passing in stream=True
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response = requests.post(API_URL, headers=headers, proxies=proxies,
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json=payload, stream=True, timeout=TIMEOUT_SECONDS)
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except:
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chatbot[-1] = ((chatbot[-1][0], timeout_bot_msg))
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yield chatbot, history, "请求超时"
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raise TimeoutError
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retry = 0
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while True:
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try:
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# make a POST request to the API endpoint using the requests.post method, passing in stream=True
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response = requests.post(API_URL, headers=headers, proxies=proxies,
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json=payload, stream=True, timeout=TIMEOUT_SECONDS);break
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except:
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retry += 1
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chatbot[-1] = ((chatbot[-1][0], timeout_bot_msg))
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retry_msg = f",正在重试 ({retry}/{MAX_RETRY}) ……" if MAX_RETRY > 0 else ""
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yield chatbot, history, "请求超时"+retry_msg
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if retry > MAX_RETRY: raise TimeoutError
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token_counter = 0
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partial_words = ""
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@ -194,7 +203,7 @@ def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt=''
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chunk = get_full_error(chunk, stream_response)
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error_msg = chunk.decode()
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if "reduce the length" in error_msg:
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chatbot[-1] = (history[-1], "老铁,输入的文本太长了")
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chatbot[-1] = (history[-1], "[local] input is too long, reduce input or clear history.")
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yield chatbot, history, "Json解析不合常规,很可能是文本过长" + error_msg
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return
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