From 9b75f389e986fb4f0be30fceffe1c3b8fa7bd064 Mon Sep 17 00:00:00 2001
From: "majiahui@haimaqingfan.com" <majiahui@haimaqingfan.com>
Date: Fri, 7 Apr 2023 17:59:12 +0800
Subject: [PATCH] =?UTF-8?q?=E6=96=B0=E5=A2=9E=E5=A4=9Aip=E5=A4=9A=E7=AF=87?=
 =?UTF-8?q?=E5=B9=B6=E5=8F=91flask?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .idea/ChatGPT_Sever.iml      |   2 +-
 .idea/deployment.xml         |   6 +-
 .idea/misc.xml               |   2 +-
 .idea/sshConfigs.xml         |   2 +-
 .idea/webServers.xml         |   4 +-
 .idea/workspace.xml          | 376 ++++++++++++++--------
 chatGPT账号 26.txt         |  30 ++
 chatgpt_post.py              |  56 ++++
 flask_serve_2.py             | 714 ++++++++++++++++++++++++++++++++++++++++++
 flask_serves.py              |  51 ++-
 flask_sever_1.py             | 725 +++++++++++++++++++++----------------------
 json_模板.json             |  11 +
 lock_flask.py                | 203 ++++++++++--
 serve_config_1.py            |  45 +++
 serve_config_2.py            |  43 +++
 查询uuid.py                |  20 +-
 测试chatgpt调用接口.py |  22 +-
 测试flask多进程.py      |  13 +
 测试多进程.py           |   3 +-
 测试生成uuid.py          |   2 +-
 简单的flask.py            |   2 +-
 21 files changed, 1777 insertions(+), 555 deletions(-)
 create mode 100644 chatGPT账号 26.txt
 create mode 100644 chatgpt_post.py
 create mode 100644 flask_serve_2.py
 create mode 100644 json_模板.json
 create mode 100644 serve_config_1.py
 create mode 100644 serve_config_2.py
 create mode 100644 测试flask多进程.py

diff --git a/.idea/ChatGPT_Sever.iml b/.idea/ChatGPT_Sever.iml
index c197a18..fe94f4e 100644
--- a/.idea/ChatGPT_Sever.iml
+++ b/.idea/ChatGPT_Sever.iml
@@ -5,7 +5,7 @@
   </component>
   <component name="NewModuleRootManager">
     <content url="file://$MODULE_DIR$" />
-    <orderEntry type="jdk" jdkName="Remote Python 3.9.16 (sftp://majiahui@104.244.90.248:28385/home/majiahui/miniconda3/envs/chatgpt/bin/python)" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Remote Python 3.9.16 (sftp://majiahui@104.244.89.190:27998/home/majiahui/miniconda3/envs/chatgpt/bin/python3)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="TemplatesService">
diff --git a/.idea/deployment.xml b/.idea/deployment.xml
index 4e11f67..355b4da 100644
--- a/.idea/deployment.xml
+++ b/.idea/deployment.xml
@@ -1,15 +1,15 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="PublishConfigData" autoUpload="Always" serverName="majiahui@104.244.90.248:28385" remoteFilesAllowedToDisappearOnAutoupload="false">
+  <component name="PublishConfigData" autoUpload="Always" serverName="majiahui@104.244.89.190:27998" remoteFilesAllowedToDisappearOnAutoupload="false">
     <serverData>
       <paths name="chat">
         <serverdata>
           <mappings>
-            <mapping local="$PROJECT_DIR$" web="/" />
+            <mapping deploy="/" local="$PROJECT_DIR$" web="/" />
           </mappings>
         </serverdata>
       </paths>
-      <paths name="majiahui@104.244.90.248:28385">
+      <paths name="majiahui@104.244.89.190:27998">
         <serverdata>
           <mappings>
             <mapping deploy="/home/majiahui/ChatGPT_Sever" local="$PROJECT_DIR$" />
diff --git a/.idea/misc.xml b/.idea/misc.xml
index d541bf3..944ded8 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -1,4 +1,4 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Remote Python 3.9.16 (sftp://majiahui@104.244.90.248:28385/home/majiahui/miniconda3/envs/chatgpt/bin/python)" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Remote Python 3.9.16 (sftp://majiahui@104.244.89.190:27998/home/majiahui/miniconda3/envs/chatgpt/bin/python3)" project-jdk-type="Python SDK" />
 </project>
\ No newline at end of file
diff --git a/.idea/sshConfigs.xml b/.idea/sshConfigs.xml
index b5ed381..651c67d 100644
--- a/.idea/sshConfigs.xml
+++ b/.idea/sshConfigs.xml
@@ -2,7 +2,7 @@
 <project version="4">
   <component name="SshConfigs">
     <configs>
-      <sshConfig authType="PASSWORD" host="104.244.90.248" id="88e52b8d-a70e-4743-9a44-06aaefa0048a" port="28385" nameFormat="DESCRIPTIVE" username="majiahui" useOpenSSHConfig="true" />
+      <sshConfig authType="PASSWORD" host="104.244.89.190" id="88e52b8d-a70e-4743-9a44-06aaefa0048a" port="27998" nameFormat="DESCRIPTIVE" username="majiahui" useOpenSSHConfig="true" />
     </configs>
   </component>
 </project>
\ No newline at end of file
diff --git a/.idea/webServers.xml b/.idea/webServers.xml
index 798e4cd..4fc2e5b 100644
--- a/.idea/webServers.xml
+++ b/.idea/webServers.xml
@@ -2,8 +2,8 @@
 <project version="4">
   <component name="WebServers">
     <option name="servers">
-      <webServer id="c2e40908-9bb6-423b-a163-c99a15eb604c" name="chat">
-        <fileTransfer rootFolder="/home/majiahui/ChatGPT_Sever" accessType="SFTP" host="104.244.90.248" port="28385" sshConfigId="88e52b8d-a70e-4743-9a44-06aaefa0048a" sshConfig="majiahui@104.244.90.248:28385 password">
+      <webServer id="f58df6e3-b80d-420d-b140-8a999839c6d7" name="chat">
+        <fileTransfer rootFolder="/home/majiahui/ChatGPT_Sever" accessType="SFTP" host="104.244.89.190" port="27998" sshConfigId="88e52b8d-a70e-4743-9a44-06aaefa0048a" sshConfig="majiahui@104.244.89.190:27998 password">
           <advancedOptions>
             <advancedOptions dataProtectionLevel="Private" keepAliveTimeout="0" passiveMode="true" shareSSLContext="true" />
           </advancedOptions>
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index d27f1a4..5aed8c2 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -1,7 +1,27 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
   <component name="ChangeListManager">
-    <list default="true" id="5dac27f6-2de9-4ccf-bf99-64c76347d9c5" name="Changes" comment="" />
+    <list default="true" id="5dac27f6-2de9-4ccf-bf99-64c76347d9c5" name="Changes" comment="新增多api多篇并发flask">
+      <change afterPath="$PROJECT_DIR$/flask_serve_2.py" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/json_模板.json" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/serve_config_1.py" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/serve_config_2.py" afterDir="false" />
+      <change afterPath="$PROJECT_DIR$/测试flask多进程.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/ChatGPT_Sever.iml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/ChatGPT_Sever.iml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/deployment.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/deployment.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/misc.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/misc.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/sshConfigs.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/sshConfigs.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/webServers.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/webServers.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/flask_serves.py" beforeDir="false" afterPath="$PROJECT_DIR$/flask_serves.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/flask_sever_1.py" beforeDir="false" afterPath="$PROJECT_DIR$/flask_sever_1.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/lock_flask.py" beforeDir="false" afterPath="$PROJECT_DIR$/lock_flask.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/查询uuid.py" beforeDir="false" afterPath="$PROJECT_DIR$/查询uuid.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/测试chatgpt调用接口.py" beforeDir="false" afterPath="$PROJECT_DIR$/测试chatgpt调用接口.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/测试多进程.py" beforeDir="false" afterPath="$PROJECT_DIR$/测试多进程.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/测试生成uuid.py" beforeDir="false" afterPath="$PROJECT_DIR$/测试生成uuid.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/简单的flask.py" beforeDir="false" afterPath="$PROJECT_DIR$/简单的flask.py" afterDir="false" />
+    </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
     <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
@@ -26,6 +46,11 @@
     </option>
   </component>
   <component name="Git.Settings">
+    <option name="RECENT_BRANCH_BY_REPOSITORY">
+      <map>
+        <entry key="$PROJECT_DIR$" value="dev_1_" />
+      </map>
+    </option>
     <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$" />
   </component>
   <component name="MarkdownSettingsMigration">
@@ -36,16 +61,16 @@
     <option name="hideEmptyMiddlePackages" value="true" />
     <option name="showLibraryContents" value="true" />
   </component>
-  <component name="PropertiesComponent">{
-  &quot;keyToString&quot;: {
-    &quot;RunOnceActivity.OpenProjectViewOnStart&quot;: &quot;true&quot;,
-    &quot;RunOnceActivity.ShowReadmeOnStart&quot;: &quot;true&quot;,
-    &quot;WebServerToolWindowFactoryState&quot;: &quot;false&quot;,
-    &quot;settings.editor.selected.configurable&quot;: &quot;editor.preferences.fonts.default&quot;
+  <component name="PropertiesComponent"><![CDATA[{
+  "keyToString": {
+    "RunOnceActivity.OpenProjectViewOnStart": "true",
+    "RunOnceActivity.ShowReadmeOnStart": "true",
+    "WebServerToolWindowFactoryState": "false",
+    "settings.editor.selected.configurable": "com.jetbrains.python.configuration.PyActiveSdkModuleConfigurable"
   }
-}</component>
-  <component name="RunManager" selected="Python.ceshisuo">
-    <configuration name="ChatGPT_Sever" type="PythonConfigurationType" factoryName="Python">
+}]]></component>
+  <component name="RunManager" selected="Python.测试生成uuid">
+    <configuration name="简单的" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
       <module name="ChatGPT_Sever" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -58,7 +83,7 @@
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
       <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/ceshi.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/简单的" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
@@ -67,7 +92,7 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
-    <configuration name="GPT_service" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
+    <configuration name="ChatGPT_Sever" type="PythonConfigurationType" factoryName="Python">
       <module name="ChatGPT_Sever" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -80,7 +105,7 @@
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
       <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/GPT_service.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/ceshi.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
@@ -89,20 +114,20 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
-    <configuration name="ceshiduojincheng" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+    <configuration name="GPT_service" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
       <module name="ChatGPT_Sever" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
       <envs>
         <env name="PYTHONUNBUFFERED" value="1" />
       </envs>
-      <option name="SDK_HOME" value="" />
-      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
-      <option name="IS_MODULE_SDK" value="true" />
+      <option name="SDK_HOME" value="sftp://majiahui@104.244.90.248:28385/home/majiahui/miniconda3/envs/chatgpt/bin/python" />
+      <option name="WORKING_DIRECTORY" value="" />
+      <option name="IS_MODULE_SDK" value="false" />
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
       <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/ceshiduojincheng.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/GPT_service.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
@@ -133,7 +158,7 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
-    <configuration name="ceshisuo" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+    <configuration name="测试chatgpt调用接口" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="ChatGPT_Sever" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -146,7 +171,7 @@
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
       <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/ceshisuo.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/测试chatgpt调用接口.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
@@ -155,7 +180,7 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
-    <configuration name="cewshi" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+    <configuration name="chatgpt_post" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
       <module name="ChatGPT_Sever" />
       <option name="INTERPRETER_OPTIONS" value="" />
       <option name="PARENT_ENVS" value="true" />
@@ -168,7 +193,29 @@
       <option name="ADD_CONTENT_ROOTS" value="true" />
       <option name="ADD_SOURCE_ROOTS" value="true" />
       <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
-      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/cewshi.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/chatgpt_post.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
+    <configuration name="简单的flask" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
+      <module name="ChatGPT_Sever" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="sftp://majiahui@104.244.90.248:28385/home/majiahui/miniconda3/envs/chatgpt/bin/python" />
+      <option name="WORKING_DIRECTORY" value="" />
+      <option name="IS_MODULE_SDK" value="false" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/简单的flask.py" />
       <option name="PARAMETERS" value="" />
       <option name="SHOW_COMMAND_LINE" value="false" />
       <option name="EMULATE_TERMINAL" value="false" />
@@ -199,6 +246,28 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
+    <configuration name="flask_sever_1" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="ChatGPT_Sever" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/flask_sever_1.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
     <configuration name="lock_flask" type="PythonConfigurationType" factoryName="Python" nameIsGenerated="true">
       <module name="ChatGPT_Sever" />
       <option name="INTERPRETER_OPTIONS" value="" />
@@ -397,23 +466,87 @@
       <option name="INPUT_FILE" value="" />
       <method v="2" />
     </configuration>
+    <configuration name="查询uuid" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="ChatGPT_Sever" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/查询uuid.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
+    <configuration name="查询uuid" type="PythonConfigurationType" factoryName="Python" temporary="true" nameIsGenerated="true">
+      <module name="ChatGPT_Sever" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <envs>
+        <env name="PYTHONUNBUFFERED" value="1" />
+      </envs>
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="SCRIPT_NAME" value="$PROJECT_DIR$/查询uuid.py" />
+      <option name="PARAMETERS" value="" />
+      <option name="SHOW_COMMAND_LINE" value="false" />
+      <option name="EMULATE_TERMINAL" value="false" />
+      <option name="MODULE_MODE" value="false" />
+      <option name="REDIRECT_INPUT" value="false" />
+      <option name="INPUT_FILE" value="" />
+      <method v="2" />
+    </configuration>
+    <configuration name="Flask (简单的flask.py)" type="Python.FlaskServer" nameIsGenerated="true">
+      <module name="ChatGPT_Sever" />
+      <option name="target" value="$PROJECT_DIR$/简单的flask.py" />
+      <option name="targetType" value="PATH" />
+      <option name="INTERPRETER_OPTIONS" value="" />
+      <option name="PARENT_ENVS" value="true" />
+      <option name="SDK_HOME" value="" />
+      <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" />
+      <option name="IS_MODULE_SDK" value="true" />
+      <option name="ADD_CONTENT_ROOTS" value="true" />
+      <option name="ADD_SOURCE_ROOTS" value="true" />
+      <EXTENSION ID="PythonCoverageRunConfigurationExtension" runner="coverage.py" />
+      <option name="launchJavascriptDebuger" value="false" />
+      <method v="2" />
+    </configuration>
     <list>
+      <item itemvalue="Flask server.Flask (简单的flask.py)" />
+      <item itemvalue="Python.简单的" />
+      <item itemvalue="Python.简单的flask" />
       <item itemvalue="Python.lock_flask" />
       <item itemvalue="Python.ceshiflask" />
       <item itemvalue="Python.GPT_service" />
       <item itemvalue="Python.ChatGPT_Sever" />
       <item itemvalue="Python.flask_serves" />
-      <item itemvalue="Python.ceshiduojincheng" />
-      <item itemvalue="Python.cewshi" />
-      <item itemvalue="Python.ceshisuo" />
+      <item itemvalue="Python.chatgpt_post" />
+      <item itemvalue="Python.flask_sever_1" />
+      <item itemvalue="Python.查询uuid" />
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+
+
+副号
+JacobRios531@outlook.com----bkwga59Kw7----org-IkKh08PJohhA8ISPAu3F1CoH----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
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+
diff --git a/chatgpt_post.py b/chatgpt_post.py
new file mode 100644
index 0000000..ca3d5da
--- /dev/null
+++ b/chatgpt_post.py
@@ -0,0 +1,56 @@
+import requests
+import json
+
+OPENAI_API_KEY = "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"
+
+url = "https://api.openai.com/v1/chat/completions"
+headers = {
+    "Content-Type": "application/json",
+    "Authorization": f"Bearer {OPENAI_API_KEY}"
+}
+data = {
+    "model": "gpt-3.5-turbo",
+    "messages": [
+            {"role": "user", "content": "请帮我改写这句话:在城市发展进程当中，逐渐呈现出一些综合性的大型建筑群。"},
+            {"role": "assistant", "content": "随着城市的发展，综合性大型建筑群正在逐渐出现。"},
+            {"role": "user", "content": "这句话我不满意，再改一下帮我"}
+        ],
+    "temperature": 0.7
+}
+
+response = requests.post(url,
+                         headers=headers,
+                         data=json.dumps(data),
+                         timeout=1000)
+
+res = response.json()
+print(res)
+print(res["choices"][0]["message"]["content"])
+
+
+
+
+
+
+
+OPENAI_API_KEY = api_key
+
+        url = "https://api.openai.com/v1/chat/completions"
+        headers = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {OPENAI_API_KEY}"
+        }
+        data = {
+            "model": "gpt-3.5-turbo",
+            "messages": [
+                {"role": "user", "content": "请帮我改写这句话:在城市发展进程当中，逐渐呈现出一些综合性的大型建筑群。"},
+                {"role": "assistant", "content": "随着城市的发展，综合性大型建筑群正在逐渐出现。"},
+                {"role": "user", "content": "这句话我不满意，再改一下帮我"}
+            ],
+            "temperature": 0.7
+        }
+        response = requests.post(url,
+                                 headers=headers,
+                                 data=json.dumps(data),
+                                 timeout=1000)
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
\ No newline at end of file
diff --git a/flask_serve_2.py b/flask_serve_2.py
new file mode 100644
index 0000000..addff58
--- /dev/null
+++ b/flask_serve_2.py
@@ -0,0 +1,714 @@
+from flask import Flask, jsonify, Response
+from flask import request
+import redis
+import uuid
+import json
+import time
+import threading
+from threading import Thread
+from flask import send_file, send_from_directory
+import os
+from flask import make_response
+import openai
+import base64
+import re
+import urllib.parse as pa
+import socket
+from serve_config_1 import Config
+import requests
+
+config = Config()
+
+app = Flask(__name__)
+app.config["JSON_AS_ASCII"] = False
+
+s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
+s.connect(("8.8.8.8", 80))
+localhostip = s.getsockname()[0]
+
+lock = threading.RLock()
+pool = redis.ConnectionPool(host=config.reids_ip, port=config.reids_port, max_connections=50, db=config.reids_db,
+                            password=config.reids_password)
+redis_ = redis.Redis(connection_pool=pool, decode_responses=True)
+
+thanks = "致谢"
+references = "参考文献"
+
+flask_serves_env = "http://{}:{}".format(localhostip, config.flask_port)
+
+paper_download_url = flask_serves_env + "/download?filename_path={}/paper.docx"
+paper_start_download_url = flask_serves_env + "/download?filename_path={}/paper_start.docx"
+
+redis_key_name_openaikey_bad_dict = "openaikey_bad_list_{}".format(str(localhostip))
+
+redis_key_name_openaikey_list = "openaikey_list_{}".format(str(localhostip))
+
+redis_title = "redis_title"
+
+redis_title_ing = "redis_title_ing"
+
+redis_small_task = "redis_small_task"
+
+redis_res = "redis_res"
+
+for i in config.openaikey_list:
+    redis_.rpush(redis_key_name_openaikey_list, i)
+
+redis_.hset(redis_key_name_openaikey_bad_dict, "1", "1")
+redis_.persist(redis_key_name_openaikey_list)
+redis_.persist(redis_key_name_openaikey_bad_dict)
+
+
+def request_api_chatgpt(api_key, prompt):
+    OPENAI_API_KEY = api_key
+    url = "https://api.openai.com/v1/chat/completions"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {OPENAI_API_KEY}"
+    }
+    data = {
+        "model": "gpt-3.5-turbo",
+        "messages": [
+            {"role": "user", "content": prompt},
+        ],
+        "temperature": 0.5
+    }
+    response = requests.post(url,
+                             headers=headers,
+                             data=json.dumps(data),
+                             timeout=600)
+
+    return response
+
+
+def chat_kaitibaogao(api_key, uuid, main_parameter, task_type):
+    try:
+        response = request_api_chatgpt(api_key, config.kaitibaogao_prompt.format(main_parameter[0]))
+        res = response.json()
+        kaitibaogao = res["choices"][0]["message"]["content"]
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+
+    except:
+        """
+        发送警报
+        """
+        kaitibaogao = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key, task_type)))
+
+    lock.acquire()
+    res_dict_str = redis_.hget(redis_res, uuid)
+    res_dict = json.loads(res_dict_str)
+    res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
+    res_dict["开题报告"] = kaitibaogao
+    res_dict_str = json.dumps(res_dict, ensure_ascii=False)
+    redis_.hset(redis_res, uuid, res_dict_str)
+    lock.release()
+
+
+def chat_abstract_keyword(api_key, uuid, main_parameter, task_type):
+    try:
+        # 生成中文摘要
+
+        response = request_api_chatgpt(api_key, config.chinese_abstract_prompt.format(main_parameter[0]))
+        res = response.json()
+        chinese_abstract = res["choices"][0]["message"]["content"]
+
+        # 生成英文的摘要
+
+        response = request_api_chatgpt(api_key, config.english_abstract_prompt.format(chinese_abstract))
+        res = response.json()
+        english_abstract = res["choices"][0]["message"]["content"]
+
+        # 生成中文关键字
+
+        response = request_api_chatgpt(api_key, config.chinese_keyword_prompt.format(chinese_abstract))
+        res = response.json()
+        chinese_keyword = res["choices"][0]["message"]["content"]
+
+        # 生成英文关键字
+        response = request_api_chatgpt(api_key, config.english_keyword_prompt.format(chinese_keyword))
+        res = response.json()
+        english_keyword = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+                发送警报
+        """
+        chinese_abstract = ""
+        english_abstract = ""
+        chinese_keyword = ""
+        english_keyword = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key, task_type)))
+
+    paper_abstract_keyword = {
+        "中文摘要": chinese_abstract,
+        "英文摘要": english_abstract,
+        "中文关键词": chinese_keyword,
+        "英文关键词": english_keyword
+    }
+
+    # json_str = json.dumps(paper_abstract_keyword, indent=4, ensure_ascii=False)
+    # abstract_keyword_path = os.path.join(uuid_path, "abstract_keyword.json")
+    # with open(abstract_keyword_path, 'w') as json_file:
+    #     json_file.write(json_str)
+    #
+    # lock.acquire()
+    # api_key_list.append(api_key)
+    # lock.release()
+
+    lock.acquire()
+    res_dict_str = redis_.hget(redis_res, uuid)
+    res_dict = json.loads(res_dict_str)
+    res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
+    res_dict["中文摘要"] = paper_abstract_keyword["中文摘要"]
+    res_dict["英文摘要"] = paper_abstract_keyword["英文摘要"]
+    res_dict["中文关键词"] = paper_abstract_keyword["中文关键词"]
+    res_dict["英文关键词"] = paper_abstract_keyword["英文关键词"]
+    res_dict_str = json.dumps(res_dict, ensure_ascii=False)
+    redis_.hset(redis_res, uuid, res_dict_str)
+    lock.release()
+
+
+def chat_content(api_key, uuid, main_parameter, task_type):
+    '''
+
+    :param api_key:
+    :param uuid:
+    :param main_parameter:
+    :return:
+    '''
+    content_index = main_parameter[0]
+    title = main_parameter[1]
+    mulu = main_parameter[2]
+    subtitle = main_parameter[3]
+    prompt = main_parameter[4]
+
+    if subtitle[:2] == "@@":
+        res_content = subtitle[2:]
+    else:
+        try:
+
+            response = request_api_chatgpt(api_key, prompt.format(title, mulu, subtitle))
+            res = response.json()
+            res_content = res["choices"][0]["message"]["content"]
+
+            redis_.rpush(redis_key_name_openaikey_list, api_key)
+            redis_.persist(redis_key_name_openaikey_list)
+        except:
+            """
+                发送警报
+            """
+            res_content = ""
+            redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key, task_type)))
+
+    lock.acquire()
+    res_dict_str = redis_.hget(redis_res, uuid)
+    res_dict = json.loads(res_dict_str)
+    res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
+    table_of_contents = res_dict["table_of_contents"]
+    table_of_contents[content_index] = res_content
+    res_dict["table_of_contents"] = table_of_contents
+    res_dict_str = json.dumps(res_dict, ensure_ascii=False)
+    redis_.hset(redis_res, uuid, res_dict_str)
+    lock.release()
+
+
+def chat_thanks(api_key, uuid, main_parameter, task_type):
+    '''
+
+    :param api_key:
+    :param uuid:
+    :param main_parameter:
+    :return:
+    '''
+    # title,
+    # thank_prompt
+    title = main_parameter[0]
+    prompt = main_parameter[1]
+
+    try:
+        response = request_api_chatgpt(api_key, prompt.format(title))
+        res = response.json()
+        res_content = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+            发送警报
+        """
+        res_content = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key, task_type)))
+
+    lock.acquire()
+    res_dict_str = redis_.hget(redis_res, uuid)
+    res_dict = json.loads(res_dict_str)
+    res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
+    res_dict["致谢"] = res_content
+    res_dict_str = json.dumps(res_dict, ensure_ascii=False)
+    redis_.hset(redis_res, uuid, res_dict_str)
+    lock.release()
+
+
+def chat_references(api_key, uuid, main_parameter, task_type):
+    '''
+
+    :param api_key:
+    :param uuid:
+    :param main_parameter:
+    :return:
+    '''
+    # title,
+    # mulu,
+    # references_prompt
+    title = main_parameter[0]
+    mulu = main_parameter[1]
+    prompt = main_parameter[2]
+    try:
+
+        response = request_api_chatgpt(api_key, prompt.format(title, mulu))
+        res = response.json()
+        res_content = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+            发送警报
+        """
+        res_content = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key, task_type)))
+
+    # 加锁 读取resis并存储结果
+    lock.acquire()
+    res_dict_str = redis_.hget(redis_res, uuid)
+    res_dict = json.loads(res_dict_str)
+    res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
+    res_dict["参考文献"] = res_content
+    res_dict_str = json.dumps(res_dict, ensure_ascii=False)
+    redis_.hset(redis_res, uuid, res_dict_str)
+    lock.release()
+
+
+def threading_mulu(api_key, title, uuid):
+    '''
+    生成目录并吧任务拆解进入子任务的redis_list中和储存结果的redis_list中
+    :return:
+    '''
+    try:
+        response = request_api_chatgpt(api_key, config.mulu_prompt.format(title))
+        res = response.json()
+        mulu = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+            发送警报
+        """
+        res_content = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str(api_key, "mulu"))
+        mulu = ""
+
+    try:
+        mulu_list = str(mulu).split("\n")
+        mulu_list = [i.strip() for i in mulu_list if i != ""]
+
+        print(mulu_list)
+
+        cun_bool = False
+        table_of_contents = [mulu_list[0]]
+
+        for i in mulu_list[1:]:
+            result_second_biaoti_list = re.findall(config.pantten_second_biaoti, i)
+            result_other_biaoti_list = re.findall(config.pantten_other_biaoti, i)
+            if result_second_biaoti_list != []:
+                table_of_contents.append("@@" + i)
+                cun_bool = True
+                continue
+            if cun_bool == False:
+                continue
+            else:
+                if result_other_biaoti_list != []:
+                    table_of_contents.append("@@" + i)
+                else:
+                    table_of_contents.append(i)
+
+        print(table_of_contents)
+        # table_of_contents = table_of_contents[:3] + table_of_contents[-1:]
+        # print(table_of_contents)
+
+        thanks_references_bool_table = table_of_contents[-3:]
+
+        # thanks = "致谢"
+        # references = "参考文献"
+        if references in thanks_references_bool_table:
+            table_of_contents.remove(references)
+
+        if thanks in thanks_references_bool_table:
+            table_of_contents.remove(thanks)
+
+        # table_of_contents.append(thanks)
+        # table_of_contents.append(references)
+
+        # if thanks not in thanks_bool_table:
+        #     table_of_contents.insert(-1, "致谢")
+        #
+        # if thanks not in thanks_bool_table:
+        #     table_of_contents.insert(-1, "致谢")
+
+        print(len(table_of_contents))
+
+        small_task_list = []
+        # api_key,
+        # index,
+        # title,
+        # mulu,
+        # subtitle,
+        # prompt
+        kaitibaogao_task = {
+            "task_type": "kaitibaogao",
+            "uuid": uuid,
+            "main_parameter": [title]
+        }
+
+        chat_abstract_task = {
+            "task_type": "chat_abstract",
+            "uuid": uuid,
+            "main_parameter": [title]
+        }
+        small_task_list.append(kaitibaogao_task)
+        small_task_list.append(chat_abstract_task)
+        content_index = 0
+        while True:
+            if content_index == len(table_of_contents):
+                break
+            subtitle = table_of_contents[content_index]
+            if content_index == 0:
+                prompt = config.first_title_prompt
+            elif subtitle == "参考文献":
+                prompt = config.references_prompt
+            elif subtitle == "致谢":
+                prompt = config.thank_prompt
+            else:
+                prompt = config.small_title_prompt
+            print("请求的所有参数",
+                  content_index,
+                  title,
+                  subtitle,
+                  prompt)
+
+            paper_content = {
+                "task_type": "paper_content",
+                "uuid": uuid,
+                "main_parameter": [
+                    content_index,
+                    title,
+                    mulu,
+                    subtitle,
+                    prompt
+                ]
+            }
+
+            small_task_list.append(paper_content)
+            content_index += 1
+
+        thanks_task = {
+            "task_type": "thanks_task",
+            "uuid": uuid,
+            "main_parameter": [
+                title,
+                config.thank_prompt
+            ]
+        }
+
+        references_task = {
+            "task_type": "references_task",
+            "uuid": uuid,
+            "main_parameter": [
+                title,
+                mulu,
+                config.references_prompt
+            ]
+        }
+
+        small_task_list.append(thanks_task)
+        small_task_list.append(references_task)
+
+        for small_task in small_task_list:
+            small_task = json.dumps(small_task, ensure_ascii=False)
+            redis_.rpush(redis_small_task, small_task)
+            redis_.persist(redis_key_name_openaikey_list)
+
+        res = {
+            "uuid": uuid,
+            "num_small_task": len(small_task_list),
+            "tasking_num": 0,
+            "标题": title,
+            "目录": mulu,
+            "开题报告": "",
+            "任务书": "",
+            "中文摘要": "",
+            "英文摘要": "",
+            "中文关键词": "",
+            "英文关键词": "",
+            "正文": "",
+            "致谢": "",
+            "参考文献": "",
+            "table_of_contents": [""] * len(table_of_contents)
+        }
+
+        res = json.dumps(res, ensure_ascii=False)
+        redis_.hset(redis_res, uuid, res)
+    except:
+        print("目录程序错误")
+
+
+def threading_1():
+    # title, redis_key_name_openaikey_list
+    '''
+    生成目录
+    :param title:
+    :param redis_key_name_openaikey_list:
+    :return:
+    '''
+    while True:
+        if redis_.llen(redis_small_task) != 0:  # 若队列中有元素就跳过
+            time.sleep(1)
+            continue
+        elif redis_.llen(redis_title) != 0 and redis_.llen(redis_key_name_openaikey_list) != 0:
+            title_uuid_dict_str = redis_.lpop(redis_title).decode('UTF-8')
+            api_key = redis_.lpop(redis_key_name_openaikey_list).decode('UTF-8')
+            # redis_title:{"id": id_, "title": title}
+            title_uuid_dict = json.loads(title_uuid_dict_str)
+
+            title = title_uuid_dict["title"]
+            uuid_id = title_uuid_dict["id"]
+
+            t = Thread(target=threading_mulu, args=(api_key,
+                                                    title,
+                                                    uuid_id,
+                                                    ))
+            t.start()
+        else:
+            time.sleep(1)
+            continue
+
+
+def threading_2():
+    '''
+    顺序读取子任务
+    :return:
+    '''
+    while True:
+        if redis_.llen(redis_small_task) != 0 and redis_.llen(redis_key_name_openaikey_list) != 0:
+            # 执行小标题的任务
+            api_key = redis_.lpop(redis_key_name_openaikey_list).decode('UTF-8')
+            small_title = redis_.lpop(redis_small_task).decode('UTF-8')
+            small_title = json.loads(small_title)
+            task_type = small_title["task_type"]
+            uuid = small_title["uuid"]
+            main_parameter = small_title["main_parameter"]
+
+            # "task_type": "paper_content",
+            # "uuid": uuid,
+            # "main_parameter": [
+            # "task_type": "paper_content",
+            # "task_type": "chat_abstract",
+            # "task_type": "kaitibaogao",
+
+            if task_type == "kaitibaogao":
+                t = Thread(target=chat_kaitibaogao, args=(api_key,
+                                                          uuid,
+                                                          main_parameter,
+                                                          task_type))
+                t.start()
+            elif task_type == "chat_abstract":
+                t = Thread(target=chat_abstract_keyword, args=(api_key,
+                                                               uuid,
+                                                               main_parameter,
+                                                               task_type))
+                t.start()
+            elif task_type == "paper_content":
+                t = Thread(target=chat_content, args=(api_key,
+                                                      uuid,
+                                                      main_parameter,
+                                                      task_type))
+                t.start()
+            elif task_type == "thanks_task":
+                t = Thread(target=chat_thanks, args=(api_key,
+                                                     uuid,
+                                                     main_parameter,
+                                                     task_type))
+                t.start()
+            elif task_type == "references_task":
+                t = Thread(target=chat_references, args=(api_key,
+                                                         uuid,
+                                                         main_parameter,
+                                                         task_type))
+                t.start()
+        else:
+            time.sleep(1)
+            continue
+
+
+def threading_3():
+    while True:
+        res_end_list = []
+        res_dict = redis_.hgetall(redis_res)
+        for key, values in res_dict.items():
+            values_dict = json.loads(values)
+            # "num_small_task": len(small_task_list) - 1,
+            # "tasking_num": 0,
+            if int(values_dict["num_small_task"]) == int(values_dict["tasking_num"]):
+                res_end_list.append(key)
+        if res_end_list != []:
+            for key in res_end_list:
+                redis_.hdel(redis_res, key)
+
+                res_str = res_dict[key].decode("utf-8")
+                json_str = json.dumps(res_str, indent=4, ensure_ascii=False)
+
+                key = str(key, encoding="utf-8")
+                uuid_path = os.path.join(config.project_data_txt_path, key)
+
+                os.makedirs(uuid_path)
+
+                paper_content_path = os.path.join(uuid_path, "paper_content.json")
+                with open(paper_content_path, 'w') as json_file:
+                    json_file.write(json_str)
+
+                """
+                调用jar包
+                占位
+
+                """
+                url_path_paper = paper_download_url.format(key)
+                url_path_kaiti = paper_start_download_url.format(key)
+                return_text = str({"id": key,
+                                   "content_url_path": url_path_paper,
+                                   "content_report_url_path": url_path_kaiti,
+                                   "probabilities": None,
+                                   "status_code": 200})
+                redis_.srem(redis_title_ing, key)
+                redis_.set(key, return_text, 28800)
+
+        time.sleep(1)
+
+
+# def main(title):
+#     # print(request.remote_addr)
+#     # title = request.json["title"]
+#
+#     id_ = str(uuid.uuid1())
+#     print(id_)
+#     redis_.rpush(redis_title, json.dumps({"id": id_, "title": title}))  # 加入redis
+
+
+@app.route("/chat", methods=["POST"])
+def chat():
+    print(request.remote_addr)
+    title = request.json["title"]
+    id_ = str(uuid.uuid1())
+    print(id_)
+    redis_.rpush(redis_title, json.dumps({"id": id_, "title": title}, ensure_ascii=False))  # 加入redis
+    redis_.persist(redis_key_name_openaikey_list)
+    return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 200}
+    print("ok")
+    redis_.sadd(redis_title_ing, id_)
+
+    return jsonify(return_text)  # 返回结果
+
+
+@app.route("/download", methods=['GET'])
+def download_file():
+    # 需要知道2个参数, 第1个参数是本地目录的path, 第2个参数是文件名(带扩展名)
+    # directory = os.path.join(project_data_txt_path, filename)  # 假设在当前目录
+
+    # uuid_path, word_name = str(filename).split("/")
+    # word_path_root = os.path.join(project_data_txt_path, uuid_path)
+    # response = make_response(send_from_directory(word_path_root, word_name, as_attachment=True))
+    # response.headers["Content-Disposition"] = "attachment; filename={}".format(filename.encode().decode('latin-1'))
+    filename_path = request.args.get('filename_path', '')
+    filename = filename_path.split("/")[1]
+    path_name = os.path.join(config.project_data_txt_path, filename_path)
+    with open(path_name, 'rb') as f:
+        stream = f.read()
+    response = Response(stream, content_type='application/octet-stream')
+    response.headers['Content-disposition'] = 'attachment; filename={}'.format(filename)
+    return response
+
+
+@app.route("/search", methods=["POST"])
+def search():
+    id_ = request.json['id']  # 获取用户query中的文本 例如"I love you"
+    result = redis_.get(id_)  # 获取该query的模型结果
+    if result is not None:
+        # redis_.delete(id_)
+        # result_dict = result.decode('UTF-8')
+        if redis_.hexists(redis_key_name_openaikey_bad_dict, id_) == True:
+            result_text = {'code': "204", 'text': "", 'probabilities': None}
+
+        else:
+            result_dict = eval(result)
+            # return_text = {"id":query_id, "load_result_path": load_result_path, "probabilities": None, "status_code": 200}
+            query_id = result_dict["id"]
+            # "content_url_path": url_path_paper,
+            # "content_report_url_path": url_path_kaiti,
+            content_url_path = result_dict["content_url_path"]
+            content_report_url_path = result_dict["content_report_url_path"]
+            probabilities = result_dict["probabilities"]
+            result_text = {'code': 200,
+                           'content_url_path': content_url_path,
+                           'content_report_url_path': content_report_url_path,
+                           'probabilities': probabilities}
+    else:
+        querying_list = list(redis_.smembers(redis_title_ing))
+        querying_set = set()
+        for i in querying_list:
+            querying_set.add(i.decode())
+
+        querying_bool = False
+        if id_ in querying_set:
+            querying_bool = True
+
+        query_list_json = redis_.lrange(redis_title, 0, -1)
+        query_set_ids = set()
+        for i in query_list_json:
+            data_dict = json.loads(i)
+            query_id = data_dict['id']
+            query_set_ids.add(query_id)
+
+        query_bool = False
+        if id_ in query_set_ids:
+            query_bool = True
+
+        if querying_bool == True and query_bool == True:
+            result_text = {'code': "201", 'text': "", 'probabilities': None}
+        elif querying_bool == True and query_bool == False:
+            result_text = {'code': "202", 'text': "", 'probabilities': None}
+        else:
+            result_text = {'code': "203", 'text': "", 'probabilities': None}
+    return jsonify(result_text)  # 返回结果
+
+
+# threading_1 # 根据标题获取子任务，存入子任务序列
+# threading_2 # 根据子任务生成结果，存入结果序列
+# threading_3 # 根据存储的结果序列，看是否完成，如果完成输出json文件以及word
+t = Thread(target=threading_1)
+t.start()
+t = Thread(target=threading_2)
+t.start()
+
+
+if __name__ == '__main__':
+    # main("大型商业建筑人员疏散设计研究")
+    app.run(host="0.0.0.0", port=14002, threaded=True, debug=False)
\ No newline at end of file
diff --git a/flask_serves.py b/flask_serves.py
index 74f883e..587b34f 100644
--- a/flask_serves.py
+++ b/flask_serves.py
@@ -26,7 +26,7 @@ import re
 import urllib.parse as pa
 
 
-pool = redis.ConnectionPool(host='localhost', port=6379, max_connections=50, db=1)
+pool = redis.ConnectionPool(host='localhost', port=63179, max_connections=50, db=1, password='Zhicheng123*')
 redis_ = redis.Redis(connection_pool=pool, decode_responses=True)
 
 db_key_query = 'query'
@@ -40,12 +40,16 @@ import logging
 lock = threading.RLock()
 
 mulu_prompt = "请帮我根据题目为“{}”生成一个论文目录"
-first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容续写完整，保证续写内容不少于1000字"
-small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容续写完整，保证续写内容不少于1000字"
-references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成中文的{}"
+first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容续写完整，保证续写内容不少于800字"
+small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容续写完整，保证续写内容不少于800字"
+references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成15篇中文的{}，要求其中有有中文参考文献不低于12篇，英文参考文献不低于2篇"
 thank_prompt = "论文题目是“{}”，目录是“{}”，请把其中的{}部分续写完整"
 kaitibaogao_prompt = "请以《{}》为题目生成研究的主要的内容、背景、目的、意义，要求不少于1500字"
-
+chinese_abstract_prompt = "请以《{}》为题目生成论文摘要，要求不少于500字"
+english_abstract_prompt = "请把“{}”这段文字翻译成英文"
+chinese_keyword_prompt = "请为“{}”这段论文摘要生成3-5个关键字"
+english_keyword_prompt = "请把“{}”这几个关键字翻译成英文"
+thanks = "致谢"
 dabiaoti = ["二","三","四","五","六","七","八","九"]
 
 # 正则
@@ -57,7 +61,14 @@ project_data_txt_path = "/home/majiahui/ChatGPT_Sever/new_data_txt"
 api_key_list = ["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",
                 "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",
                 "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",
-                "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"]
+                "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",
+                "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",
+                "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",
+                "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",
+                "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",
+                "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"]
+
+# "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"
 
 def chat_title(title, api_key):
     global lock
@@ -82,6 +93,7 @@ def chat_title(title, api_key):
 
 def chat_kaitibaogao(title, api_key, uuid_path):
     global lock
+    # time.sleep(1)
     openai.api_key = api_key
     res = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
@@ -148,7 +160,10 @@ def classify():  # 调用模型，设置最大batch_size
 
         # 生成开题报告
         # title, api_key, uuid_path
+
+        lock.acquire()
         api_key = api_key_list.pop()
+        lock.release()
         t = Thread(target=chat_kaitibaogao, args=(title,
                                                 api_key,
                                                 uuid_path,
@@ -198,15 +213,26 @@ def classify():  # 调用模型，设置最大batch_size
         print(table_of_contents)
         # table_of_contents = table_of_contents[:3] + table_of_contents[-1:]
         # print(table_of_contents)
+
+
+        thanks_bool_table = table_of_contents[-3:]
+        if thanks not in thanks_bool_table:
+            table_of_contents.insert(-1, "致谢")
+
         chat_class = GeneratePaper(mulu_list, table_of_contents)
         print(len(table_of_contents))
+
+
         ############################################################
         while True:
             if api_key_list == []:
+                time.sleep(1)
                 continue
             if index == len(table_of_contents):
                 break
+            lock.acquire()
             api_key = api_key_list.pop()
+            lock.release()
             subtitle = table_of_contents[index]
             if index == 0:
                 prompt = first_title_prompt
@@ -215,18 +241,17 @@ def classify():  # 调用模型，设置最大batch_size
             elif subtitle == "致谢":
                 prompt = thank_prompt
             else:
-                prompt = first_title_prompt
+                prompt = small_title_prompt
             print("请求的所有参数", api_key,
                                   index,
                                   title,
-                                  mulu_list,
                                   subtitle,
                                   prompt)
 
             t = Thread(target=chat_class.chat_content_, args=(api_key,
                                                               index,
                                                               title,
-                                                              mulu_list,
+                                                              mulu,
                                                               subtitle,
                                                               prompt))
             t.start()
@@ -278,8 +303,8 @@ def classify():  # 调用模型，设置最大batch_size
         os.system("java -Dfile.encoding=UTF-8 -jar '/home/majiahui/ChatGPT_Sever/createAiXieZuoKaitiWord.jar' '{}' '{}'".format(
                 kaitibaogao_txt_path, save_word_paper_start))
 
-        url_path_paper = "http://104.244.90.248:14000/download?filename_path={}/paper.docx".format(query_id)
-        url_path_kaiti = "http://104.244.90.248:14000/download?filename_path={}/paper_start.docx".format(query_id)
+        url_path_paper = "http://104.244.89.190:14000/download?filename_path={}/paper.docx".format(query_id)
+        url_path_kaiti = "http://104.244.89.190:14000/download?filename_path={}/paper_start.docx".format(query_id)
         # content_path = os.path.join(uuid_path, "content.txt")
         # load_result_path = res_path.format(query_id)
         # load_result_path = os.path.abspath(load_result_path)
@@ -378,8 +403,8 @@ def search():
             result_text = {'code': "203", 'text': "", 'probabilities': None}
     return jsonify(result_text)  # 返回结果
 
-t = Thread(target=classify)
-t.start()
+t1 = Thread(target=classify)
+t1.start()
 
 if __name__ == "__main__":
     app.run(host="0.0.0.0", port=14000, threaded=True, debug=False)
\ No newline at end of file
diff --git a/flask_sever_1.py b/flask_sever_1.py
index 33ee894..873a7ec 100644
--- a/flask_sever_1.py
+++ b/flask_sever_1.py
@@ -14,6 +14,11 @@ import base64
 import re
 import urllib.parse as pa
 import socket
+from serve_config_1 import Config
+import requests
+
+
+config = Config()
 
 app = Flask(__name__)
 app.config["JSON_AS_ASCII"] = False
@@ -23,71 +28,18 @@ s.connect(("8.8.8.8", 80))
 localhostip = s.getsockname()[0]
 
 lock = threading.RLock()
-pool = redis.ConnectionPool(host='localhost', port=63179, max_connections=50, db=2, password='Zhicheng123*')
+pool = redis.ConnectionPool(host=config.reids_ip, port=config.reids_port, max_connections=50, db=config.reids_db, password=config.reids_password)
 redis_ = redis.Redis(connection_pool=pool, decode_responses=True)
 
-pantten_second_biaoti = '[2二ⅡⅠ][、.]\s{0,}?[\u4e00-\u9fa5]+'
-pantten_other_biaoti = '[2-9二三四五六七八九ⅡⅢⅣⅤⅥⅦⅧⅨ][、.]\s{0,}?[\u4e00-\u9fa5]+'
-
-mulu_prompt = "请帮我根据题目为“{}”生成一个论文目录"
-first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容续写完整，保证续写内容不少于800字"
-small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容续写完整，保证续写内容不少于800字"
-references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成15篇左右的参考文献，要求其中有有中文参考文献不低于12篇，英文参考文献不低于2篇"
-thank_prompt = "请以“{}”为题写一篇论文的致谢"
-kaitibaogao_prompt = "请以《{}》为题目生成研究的主要的内容、背景、目的、意义，要求不少于100字"
-chinese_abstract_prompt = "请以《{}》为题目生成论文摘要，要求不少于1500字"
-english_abstract_prompt = "请把“{}”这段文字翻译成英文"
-chinese_keyword_prompt = "请为“{}”这段论文摘要生成3-5个关键字"
-english_keyword_prompt = "请把“{}”这几个关键字翻译成英文"
 thanks = "致谢"
 references = "参考文献"
-dabiaoti = ["二", "三", "四", "五", "六", "七", "八", "九"]
-project_data_txt_path = "/home/majiahui/ChatGPT_Sever/new_data_txt"
-
-"""
-key_list = [
-                {"ip": key-api},
-                {"ip": key-api},
-                {"ip": key-api},
-            ]
-redis_title = []
-redis_title_ing = []
-redis_small_task = [
-                        {
-                            uuid,
-                            api_key, 
-                            mulu_title_id, 
-                            title, 
-                            mulu, 
-                            subtitle, 
-                            prompt
-                        }
-                    ]
-redis_res = [
-                {
-                    "uuid":
-                    "完成进度":
-                    "标题":
-                    "中文摘要":"",
-                    "英文摘要"
-                    "中文关键字"
-                    "英文关键字"
-                    "正文" : [""] * len(content)
-                }
-            ] -
-
-            > list()
-"""
-
-openaikey_list = ["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",
-                  "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",
-                  "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",
-                  "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",
-                  "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",
-                  "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",
-                  "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",
-                  "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",
-                  "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"]
+
+flask_serves_env = "http://{}:{}".format(localhostip,config.flask_port)
+
+paper_download_url = flask_serves_env + "/download?filename_path={}/paper.docx"
+paper_start_download_url = flask_serves_env + "/download?filename_path={}/paper_start.docx"
+
+redis_key_name_openaikey_bad_dict = "openaikey_bad_list_{}".format(str(localhostip))
 
 redis_key_name_openaikey_list = "openaikey_list_{}".format(str(localhostip))
 
@@ -99,82 +51,102 @@ redis_small_task = "redis_small_task"
 
 redis_res = "redis_res"
 
-for i in openaikey_list:
+for i in config.openaikey_list:
     redis_.rpush(redis_key_name_openaikey_list, i)
 
+redis_.hset(redis_key_name_openaikey_bad_dict, "1", "1")
+redis_.persist(redis_key_name_openaikey_list)
+redis_.persist(redis_key_name_openaikey_bad_dict)
 
-def chat_kaitibaogao(api_key, uuid, main_parameter):
-    # t = Thread(target=chat_kaitibaogao, args=(api_key,
-    #                                           uuid,
-    #                                           main_parameter
-    # time.sleep(1)
-    openai.api_key = api_key
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": kaitibaogao_prompt.format(main_parameter[0])},
+
+def request_api_chatgpt(api_key, prompt):
+    OPENAI_API_KEY = api_key
+    url = "https://api.openai.com/v1/chat/completions"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {OPENAI_API_KEY}"
+    }
+    data = {
+        "model": "gpt-3.5-turbo",
+        "messages": [
+            {"role": "user", "content": prompt},
         ],
-        temperature=0.5
-    )
-    kaitibaogao = res.choices[0].message.content
-    # kaitibaogao_path = os.path.join(, "kaitibaogao.txt")
-    # with open(kaitibaogao_path, 'w', encoding='utf8') as f_kaitibaogao:
-    #     f_kaitibaogao.write(kaitibaogao)
-
-    redis_.rpush(redis_key_name_openaikey_list, api_key)
+        "temperature": 0.5
+    }
+    response = requests.post(url,
+                             headers=headers,
+                             data=json.dumps(data),
+                             timeout=600)
+
+    return response
+
+def chat_kaitibaogao(api_key, uuid, main_parameter,task_type):
+
+    try:
+        response =request_api_chatgpt(api_key, config.kaitibaogao_prompt.format(main_parameter[0]))
+        res = response.json()
+        kaitibaogao = res["choices"][0]["message"]["content"]
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+
+    except:
+        """
+        发送警报
+        """
+        kaitibaogao = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key,task_type)))
+
+
     lock.acquire()
     res_dict_str = redis_.hget(redis_res, uuid)
     res_dict = json.loads(res_dict_str)
     res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid),res_dict["tasking_num"])
     res_dict["开题报告"] = kaitibaogao
     res_dict_str = json.dumps(res_dict, ensure_ascii=False)
     redis_.hset(redis_res, uuid, res_dict_str)
     lock.release()
 
 
-def chat_abstract_keyword(api_key, uuid, main_parameter):
-    # api_key,
-    # uuid,
-    # main_parameter
-    # time.sleep(7)
-    openai.api_key = api_key
-    # 生成中文摘要
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": chinese_abstract_prompt.format(main_parameter[0])},
-        ],
-        temperature=0.5
-    )
-    chinese_abstract = res.choices[0].message.content
-    # 生成英文的摘要
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": english_abstract_prompt.format(chinese_abstract)},
-        ],
-        temperature=0.5
-    )
-    english_abstract = res.choices[0].message.content
-    # 生成中文关键字
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": chinese_keyword_prompt.format(chinese_abstract)},
-        ],
-        temperature=0.5
-    )
-    chinese_keyword = res.choices[0].message.content
-    # 生成英文关键字
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": english_keyword_prompt.format(chinese_keyword)},
-        ],
-        temperature=0.5
-    )
+def chat_abstract_keyword(api_key, uuid, main_parameter, task_type):
+
+    try:
+        # 生成中文摘要
+
+        response =request_api_chatgpt(api_key, config.chinese_abstract_prompt.format(main_parameter[0]))
+        res = response.json()
+        chinese_abstract = res["choices"][0]["message"]["content"]
+
+        # 生成英文的摘要
+
+        response = request_api_chatgpt(api_key, config.english_abstract_prompt.format(chinese_abstract))
+        res = response.json()
+        english_abstract = res["choices"][0]["message"]["content"]
 
-    english_keyword = res.choices[0].message.content
+
+        # 生成中文关键字
+
+        response = request_api_chatgpt(api_key, config.chinese_keyword_prompt.format(chinese_abstract))
+        res = response.json()
+        chinese_keyword = res["choices"][0]["message"]["content"]
+
+
+        # 生成英文关键字
+        response = request_api_chatgpt(api_key, config.english_keyword_prompt.format(chinese_keyword))
+        res = response.json()
+        english_keyword = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+                发送警报
+        """
+        chinese_abstract = ""
+        english_abstract = ""
+        chinese_keyword = ""
+        english_keyword = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key,task_type)))
 
     paper_abstract_keyword = {
         "中文摘要": chinese_abstract,
@@ -191,11 +163,12 @@ def chat_abstract_keyword(api_key, uuid, main_parameter):
     # lock.acquire()
     # api_key_list.append(api_key)
     # lock.release()
-    redis_.rpush(redis_key_name_openaikey_list, api_key)
+
     lock.acquire()
     res_dict_str = redis_.hget(redis_res, uuid)
     res_dict = json.loads(res_dict_str)
     res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid),res_dict["tasking_num"])
     res_dict["中文摘要"] = paper_abstract_keyword["中文摘要"]
     res_dict["英文摘要"] = paper_abstract_keyword["英文摘要"]
     res_dict["中文关键词"] = paper_abstract_keyword["中文关键词"]
@@ -205,7 +178,7 @@ def chat_abstract_keyword(api_key, uuid, main_parameter):
     lock.release()
 
 
-def chat_content(api_key, uuid, main_parameter):
+def chat_content(api_key, uuid, main_parameter, task_type):
     '''
 
     :param api_key:
@@ -222,20 +195,26 @@ def chat_content(api_key, uuid, main_parameter):
     if subtitle[:2] == "@@":
         res_content = subtitle[2:]
     else:
-        openai.api_key = api_key
-        res = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "user", "content": prompt.format(title, mulu, subtitle)},
-            ],
-            temperature=0.5
-        )
-        res_content = res.choices[0].message.content
-    redis_.rpush(redis_key_name_openaikey_list, api_key)
+        try:
+
+            response = request_api_chatgpt(api_key, prompt.format(title, mulu, subtitle))
+            res = response.json()
+            res_content = res["choices"][0]["message"]["content"]
+
+            redis_.rpush(redis_key_name_openaikey_list, api_key)
+            redis_.persist(redis_key_name_openaikey_list)
+        except:
+            """
+                发送警报
+            """
+            res_content = ""
+            redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key,task_type)))
+
     lock.acquire()
     res_dict_str = redis_.hget(redis_res, uuid)
     res_dict = json.loads(res_dict_str)
     res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
     table_of_contents = res_dict["table_of_contents"]
     table_of_contents[content_index] = res_content
     res_dict["table_of_contents"] = table_of_contents
@@ -244,7 +223,7 @@ def chat_content(api_key, uuid, main_parameter):
     lock.release()
 
 
-def chat_thanks(api_key, uuid, main_parameter):
+def chat_thanks(api_key, uuid, main_parameter, task_type):
     '''
 
     :param api_key:
@@ -257,31 +236,32 @@ def chat_thanks(api_key, uuid, main_parameter):
     title = main_parameter[0]
     prompt = main_parameter[1]
 
-    openai.api_key = api_key
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": prompt.format(title)},
-        ],
-        temperature=0.5
-    )
-    res_content = res.choices[0].message.content
-    redis_.rpush(redis_key_name_openaikey_list, api_key)
-
-    # "致谢": "",
-    # "参考文献": "",
-    # 加锁 读取redis生成致谢并存储
+    try:
+        response = request_api_chatgpt(api_key, prompt.format(title))
+        res = response.json()
+        res_content = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+            发送警报
+        """
+        res_content = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key,task_type)))
+
     lock.acquire()
     res_dict_str = redis_.hget(redis_res, uuid)
     res_dict = json.loads(res_dict_str)
     res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
     res_dict["致谢"] = res_content
     res_dict_str = json.dumps(res_dict, ensure_ascii=False)
     redis_.hset(redis_res, uuid, res_dict_str)
     lock.release()
 
 
-def chat_references(api_key, uuid, main_parameter):
+def chat_references(api_key, uuid, main_parameter, task_type):
     '''
 
     :param api_key:
@@ -295,195 +275,205 @@ def chat_references(api_key, uuid, main_parameter):
     title = main_parameter[0]
     mulu = main_parameter[1]
     prompt = main_parameter[2]
+    try:
 
+        response = request_api_chatgpt(api_key, prompt.format(title, mulu))
+        res = response.json()
+        res_content = res["choices"][0]["message"]["content"]
 
-    openai.api_key = api_key
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": prompt.format(title, mulu)},
-        ],
-        temperature=0.5
-    )
-    res_content = res.choices[0].message.content
-    redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+            发送警报
+        """
+        res_content = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str((api_key,task_type)))
 
     # 加锁 读取resis并存储结果
     lock.acquire()
     res_dict_str = redis_.hget(redis_res, uuid)
     res_dict = json.loads(res_dict_str)
     res_dict["tasking_num"] += 1
+    print("子任务进度".format(uuid), res_dict["tasking_num"])
     res_dict["参考文献"] = res_content
     res_dict_str = json.dumps(res_dict, ensure_ascii=False)
     redis_.hset(redis_res, uuid, res_dict_str)
     lock.release()
 
 
-def threading_mulu(key_api, title, uuid):
+def threading_mulu(api_key, title, uuid):
     '''
     生成目录并吧任务拆解进入子任务的redis_list中和储存结果的redis_list中
     :return:
     '''
-
-    openai.api_key = key_api
-    res = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=[
-            {"role": "user", "content": mulu_prompt.format(title)},
-        ],
-        temperature=0.5
-    )
-
-    redis_.rpush(redis_key_name_openaikey_list, key_api)
-    mulu = res.choices[0].message.content
-    mulu_list = str(mulu).split("\n")
-    mulu_list = [i.strip() for i in mulu_list if i != ""]
-
-    print(mulu_list)
-
-    cun_bool = False
-    table_of_contents = [mulu_list[0]]
-
-    for i in mulu_list[1:]:
-        result_second_biaoti_list = re.findall(pantten_second_biaoti, i)
-        result_other_biaoti_list = re.findall(pantten_other_biaoti, i)
-        if result_second_biaoti_list != []:
-            table_of_contents.append("@@" + i)
-            cun_bool = True
-            continue
-        if cun_bool == False:
-            continue
-        else:
-            if result_other_biaoti_list != []:
+    try:
+        response = request_api_chatgpt(api_key, config.mulu_prompt.format(title))
+        res = response.json()
+        mulu = res["choices"][0]["message"]["content"]
+
+        redis_.rpush(redis_key_name_openaikey_list, api_key)
+        redis_.persist(redis_key_name_openaikey_list)
+    except:
+        """
+            发送警报
+        """
+        res_content = ""
+        redis_.hset(redis_key_name_openaikey_bad_dict, uuid, str(api_key,"mulu"))
+        mulu = ""
+
+    try:
+        mulu_list = str(mulu).split("\n")
+        mulu_list = [i.strip() for i in mulu_list if i != ""]
+
+        print(mulu_list)
+
+        cun_bool = False
+        table_of_contents = [mulu_list[0]]
+
+        for i in mulu_list[1:]:
+            result_second_biaoti_list = re.findall(config.pantten_second_biaoti, i)
+            result_other_biaoti_list = re.findall(config.pantten_other_biaoti, i)
+            if result_second_biaoti_list != []:
                 table_of_contents.append("@@" + i)
+                cun_bool = True
+                continue
+            if cun_bool == False:
+                continue
             else:
-                table_of_contents.append(i)
-
-    print(table_of_contents)
-    # table_of_contents = table_of_contents[:3] + table_of_contents[-1:]
-    # print(table_of_contents)
-
-    thanks_references_bool_table = table_of_contents[-3:]
-
-    # thanks = "致谢"
-    # references = "参考文献"
-    if references in thanks_references_bool_table:
-        table_of_contents.remove(references)
-
-    if thanks in thanks_references_bool_table:
-        table_of_contents.remove(thanks)
-
-    # table_of_contents.append(thanks)
-    # table_of_contents.append(references)
-
-    # if thanks not in thanks_bool_table:
-    #     table_of_contents.insert(-1, "致谢")
-    #
-    # if thanks not in thanks_bool_table:
-    #     table_of_contents.insert(-1, "致谢")
-
-    print(len(table_of_contents))
-
-    small_task_list = []
-    # api_key,
-    # index,
-    # title,
-    # mulu,
-    # subtitle,
-    # prompt
-    kaitibaogao_task = {
-        "task_type": "kaitibaogao",
-        "uuid": uuid,
-        "main_parameter": [title]
-    }
+                if result_other_biaoti_list != []:
+                    table_of_contents.append("@@" + i)
+                else:
+                    table_of_contents.append(i)
+
+        print(table_of_contents)
+        # table_of_contents = table_of_contents[:3] + table_of_contents[-1:]
+        # print(table_of_contents)
+
+        thanks_references_bool_table = table_of_contents[-3:]
+
+        # thanks = "致谢"
+        # references = "参考文献"
+        if references in thanks_references_bool_table:
+            table_of_contents.remove(references)
+
+        if thanks in thanks_references_bool_table:
+            table_of_contents.remove(thanks)
+
+        # table_of_contents.append(thanks)
+        # table_of_contents.append(references)
+
+        # if thanks not in thanks_bool_table:
+        #     table_of_contents.insert(-1, "致谢")
+        #
+        # if thanks not in thanks_bool_table:
+        #     table_of_contents.insert(-1, "致谢")
+
+        print(len(table_of_contents))
+
+        small_task_list = []
+        # api_key,
+        # index,
+        # title,
+        # mulu,
+        # subtitle,
+        # prompt
+        kaitibaogao_task = {
+            "task_type": "kaitibaogao",
+            "uuid": uuid,
+            "main_parameter": [title]
+        }
 
-    chat_abstract_task = {
-        "task_type": "chat_abstract",
-        "uuid": uuid,
-        "main_parameter": [title]
-    }
-    small_task_list.append(kaitibaogao_task)
-    small_task_list.append(chat_abstract_task)
-    content_index = 0
-    while True:
-        if content_index == len(table_of_contents):
-            break
-        subtitle = table_of_contents[content_index]
-        if content_index == 0:
-            prompt = first_title_prompt
-        elif subtitle == "参考文献":
-            prompt = references_prompt
-        elif subtitle == "致谢":
-            prompt = thank_prompt
-        else:
-            prompt = small_title_prompt
-        print("请求的所有参数",
-              content_index,
-              title,
-              subtitle,
-              prompt)
-
-        paper_content = {
-            "task_type": "paper_content",
+        chat_abstract_task = {
+            "task_type": "chat_abstract",
+            "uuid": uuid,
+            "main_parameter": [title]
+        }
+        small_task_list.append(kaitibaogao_task)
+        small_task_list.append(chat_abstract_task)
+        content_index = 0
+        while True:
+            if content_index == len(table_of_contents):
+                break
+            subtitle = table_of_contents[content_index]
+            if content_index == 0:
+                prompt = config.first_title_prompt
+            elif subtitle == "参考文献":
+                prompt = config.references_prompt
+            elif subtitle == "致谢":
+                prompt = config.thank_prompt
+            else:
+                prompt = config.small_title_prompt
+            print("请求的所有参数",
+                  content_index,
+                  title,
+                  subtitle,
+                  prompt)
+
+            paper_content = {
+                "task_type": "paper_content",
+                "uuid": uuid,
+                "main_parameter": [
+                    content_index,
+                    title,
+                    mulu,
+                    subtitle,
+                    prompt
+                ]
+            }
+
+            small_task_list.append(paper_content)
+            content_index += 1
+
+        thanks_task = {
+            "task_type": "thanks_task",
             "uuid": uuid,
             "main_parameter": [
-                content_index,
                 title,
-                mulu,
-                subtitle,
-                prompt
+                config.thank_prompt
             ]
         }
 
-        small_task_list.append(paper_content)
-        content_index += 1
-
-    thanks_task = {
-        "task_type": "thanks_task",
-        "uuid": uuid,
-        "main_parameter": [
-            title,
-            thank_prompt
-        ]
-    }
-
-    references_task = {
-        "task_type": "references_task",
-        "uuid": uuid,
-        "main_parameter": [
+        references_task = {
+            "task_type": "references_task",
+            "uuid": uuid,
+            "main_parameter": [
                 title,
                 mulu,
-                references_prompt
+                config.references_prompt
             ]
-    }
+        }
 
-    small_task_list.append(thanks_task)
-    small_task_list.append(references_task)
-
-    for small_task in small_task_list:
-        small_task = json.dumps(small_task, ensure_ascii=False)
-        redis_.rpush(redis_small_task, small_task)
-
-    res = {
-        "uuid": uuid,
-        "num_small_task": len(small_task_list),
-        "tasking_num": 0,
-        "标题": title,
-        "目录": mulu,
-        "开题报告": "",
-        "任务书": "",
-        "中文摘要": "",
-        "英文摘要": "",
-        "中文关键词": "",
-        "英文关键词": "",
-        "正文": "",
-        "致谢": "",
-        "参考文献": "",
-        "table_of_contents": [""] * len(table_of_contents)
-    }
+        small_task_list.append(thanks_task)
+        small_task_list.append(references_task)
 
-    res = json.dumps(res, ensure_ascii=False)
-    redis_.hset(redis_res, uuid, res)
+        for small_task in small_task_list:
+            small_task = json.dumps(small_task, ensure_ascii=False)
+            redis_.rpush(redis_small_task, small_task)
+            redis_.persist(redis_key_name_openaikey_list)
+
+        res = {
+            "uuid": uuid,
+            "num_small_task": len(small_task_list),
+            "tasking_num": 0,
+            "标题": title,
+            "目录": mulu,
+            "开题报告": "",
+            "任务书": "",
+            "中文摘要": "",
+            "英文摘要": "",
+            "中文关键词": "",
+            "英文关键词": "",
+            "正文": "",
+            "致谢": "",
+            "参考文献": "",
+            "table_of_contents": [""] * len(table_of_contents)
+        }
+
+        res = json.dumps(res, ensure_ascii=False)
+        redis_.hset(redis_res, uuid, res)
+    except:
+        print("目录程序错误")
 
 
 def threading_1():
@@ -542,32 +532,32 @@ def threading_2():
             if task_type == "kaitibaogao":
                 t = Thread(target=chat_kaitibaogao, args=(api_key,
                                                           uuid,
-                                                          main_parameter
-                                                          ))
+                                                          main_parameter,
+                                                          task_type))
                 t.start()
             elif task_type == "chat_abstract":
                 t = Thread(target=chat_abstract_keyword, args=(api_key,
                                                                uuid,
-                                                               main_parameter
-                                                               ))
+                                                               main_parameter,
+                                                               task_type))
                 t.start()
             elif task_type == "paper_content":
                 t = Thread(target=chat_content, args=(api_key,
                                                       uuid,
-                                                      main_parameter
-                                                      ))
+                                                      main_parameter,
+                                                      task_type))
                 t.start()
             elif task_type == "thanks_task":
                 t = Thread(target=chat_thanks, args=(api_key,
-                                                      uuid,
-                                                      main_parameter
-                                                      ))
+                                                     uuid,
+                                                     main_parameter,
+                                                     task_type))
                 t.start()
             elif task_type == "references_task":
                 t = Thread(target=chat_references, args=(api_key,
-                                                      uuid,
-                                                      main_parameter
-                                                      ))
+                                                         uuid,
+                                                         main_parameter,
+                                                         task_type))
                 t.start()
         else:
             time.sleep(1)
@@ -584,36 +574,36 @@ def threading_3():
             # "tasking_num": 0,
             if int(values_dict["num_small_task"]) == int(values_dict["tasking_num"]):
                 res_end_list.append(key)
-        for key in res_end_list:
-            redis_.hdel(redis_res, key)
-
-            res_str = res_dict[key].decode("utf-8")
-            json_str = json.dumps(res_str, indent=4, ensure_ascii=False)
-
-            key = str(key, encoding="utf-8")
-            uuid_path = os.path.join(project_data_txt_path, key)
-
-            os.makedirs(uuid_path)
-
-            paper_content_path = os.path.join(uuid_path, "paper_content.json")
-            with open(paper_content_path, 'w') as json_file:
-                json_file.write(json_str)
-
-            """
-            调用jar包
-            占位
-            
-            
-            """
-            url_path_paper = "http://104.244.90.248:14000/download?filename_path={}/paper.docx".format(key)
-            url_path_kaiti = "http://104.244.90.248:14000/download?filename_path={}/paper_start.docx".format(key)
-            return_text = str({"id": key,
-                               "content_url_path": url_path_paper,
-                               "content_report_url_path": url_path_kaiti,
-                               "probabilities": None,
-                               "status_code": 200})
-            redis_.srem(redis_title_ing, key)
-            redis_.set(key, return_text, 28800)
+        if res_end_list != []:
+            for key in res_end_list:
+                redis_.hdel(redis_res, key)
+
+                res_str = res_dict[key].decode("utf-8")
+                json_str = json.dumps(res_str, indent=4, ensure_ascii=False)
+
+                key = str(key, encoding="utf-8")
+                uuid_path = os.path.join(config.project_data_txt_path, key)
+
+                os.makedirs(uuid_path)
+
+                paper_content_path = os.path.join(uuid_path, "paper_content.json")
+                with open(paper_content_path, 'w') as json_file:
+                    json_file.write(json_str)
+
+                """
+                调用jar包
+                占位
+    
+                """
+                url_path_paper = paper_download_url.format(key)
+                url_path_kaiti = paper_start_download_url.format(key)
+                return_text = str({"id": key,
+                                   "content_url_path": url_path_paper,
+                                   "content_report_url_path": url_path_kaiti,
+                                   "probabilities": None,
+                                   "status_code": 200})
+                redis_.srem(redis_title_ing, key)
+                redis_.set(key, return_text, 28800)
 
         time.sleep(1)
 
@@ -627,15 +617,15 @@ def threading_3():
 #     redis_.rpush(redis_title, json.dumps({"id": id_, "title": title}))  # 加入redis
 
 
-
 @app.route("/chat", methods=["POST"])
 def chat():
     print(request.remote_addr)
     title = request.json["title"]
     id_ = str(uuid.uuid1())
     print(id_)
-    redis_.rpush(redis_title, json.dumps({"id":id_, "title": title}))  # 加入redis
-    return_text = {"texts": {'id': id_,}, "probabilities": None, "status_code": 200}
+    redis_.rpush(redis_title, json.dumps({"id": id_, "title": title},ensure_ascii=False))  # 加入redis
+    redis_.persist(redis_key_name_openaikey_list)
+    return_text = {"texts": {'id': id_, }, "probabilities": None, "status_code": 200}
     print("ok")
     redis_.sadd(redis_title_ing, id_)
 
@@ -653,12 +643,11 @@ def download_file():
     # response.headers["Content-Disposition"] = "attachment; filename={}".format(filename.encode().decode('latin-1'))
     filename_path = request.args.get('filename_path', '')
     filename = filename_path.split("/")[1]
-    path_name = os.path.join(project_data_txt_path, filename_path)
+    path_name = os.path.join(config.project_data_txt_path, filename_path)
     with open(path_name, 'rb') as f:
         stream = f.read()
     response = Response(stream, content_type='application/octet-stream')
     response.headers['Content-disposition'] = 'attachment; filename={}'.format(filename)
-
     return response
 
 
@@ -669,19 +658,22 @@ def search():
     if result is not None:
         # redis_.delete(id_)
         # result_dict = result.decode('UTF-8')
+        if redis_.hexists(redis_key_name_openaikey_bad_dict, id_) == True:
+            result_text = {'code': "204", 'text': "", 'probabilities': None}
 
-        result_dict = eval(result)
-        # return_text = {"id":query_id, "load_result_path": load_result_path, "probabilities": None, "status_code": 200}
-        query_id = result_dict["id"]
-        # "content_url_path": url_path_paper,
-        # "content_report_url_path": url_path_kaiti,
-        content_url_path = result_dict["content_url_path"]
-        content_report_url_path = result_dict["content_report_url_path"]
-        probabilities = result_dict["probabilities"]
-        result_text = {'code': 200,
-                       'content_url_path': content_url_path,
-                       'content_report_url_path': content_report_url_path,
-                       'probabilities': probabilities}
+        else:
+            result_dict = eval(result)
+            # return_text = {"id":query_id, "load_result_path": load_result_path, "probabilities": None, "status_code": 200}
+            query_id = result_dict["id"]
+            # "content_url_path": url_path_paper,
+            # "content_report_url_path": url_path_kaiti,
+            content_url_path = result_dict["content_url_path"]
+            content_report_url_path = result_dict["content_report_url_path"]
+            probabilities = result_dict["probabilities"]
+            result_text = {'code': 200,
+                           'content_url_path': content_url_path,
+                           'content_report_url_path': content_report_url_path,
+                           'probabilities': probabilities}
     else:
         querying_list = list(redis_.smembers(redis_title_ing))
         querying_set = set()
@@ -722,7 +714,6 @@ t.start()
 t = Thread(target=threading_3)
 t.start()
 
-
 if __name__ == '__main__':
     # main("大型商业建筑人员疏散设计研究")
     app.run(host="0.0.0.0", port=14002, threaded=True, debug=False)
\ No newline at end of file
diff --git a/json_模板.json b/json_模板.json
new file mode 100644
index 0000000..670d67d
--- /dev/null
+++ b/json_模板.json
@@ -0,0 +1,11 @@
+{
+    "标题":"",
+    "目录":"",
+    "中文摘要":"",
+    "英文摘要":"",
+    "正文": ["一、绪论",
+        "1.1 研究背景\n在大型商业建筑人员疏散管理中，建立科学的管理制度是非常必要的。1.2 研究背景\n在大型商业建筑人员疏散管理中，建立科学的管理制度是非常必要的。",
+        "二、机械手臂的设计与分析",
+        "二、机械手臂的设计与分析"
+    ]
+}
\ No newline at end of file
diff --git a/lock_flask.py b/lock_flask.py
index 8d99d9a..45e4644 100644
--- a/lock_flask.py
+++ b/lock_flask.py
@@ -8,6 +8,12 @@
 @Describe:
 """
 
+## TODO 输入列表问题
+## TODO 服务停止在启动redis回滚问题
+## TODO 多线程问题
+## TODO ip地址问题
+## TODO 请求国内地址
+
 import os
 from flask import Flask, jsonify, Response
 from flask import request
@@ -26,7 +32,7 @@ import re
 import urllib.parse as pa
 
 
-pool = redis.ConnectionPool(host='localhost', port=6379, max_connections=50, db=2)
+pool = redis.ConnectionPool(host='localhost', port=6379, max_connections=50, db=1)
 redis_ = redis.Redis(connection_pool=pool, decode_responses=True)
 
 db_key_query = 'query'
@@ -40,12 +46,16 @@ import logging
 lock = threading.RLock()
 
 mulu_prompt = "请帮我根据题目为“{}”生成一个论文目录"
-first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容续写完整，保证续写内容不少于1000字"
-small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容续写完整，保证续写内容不少于1000字"
-references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成中文的{}"
+first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容续写完整，保证续写内容不少于800字"
+small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容续写完整，保证续写内容不少于800字"
+references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成15篇中文的{}，要求其中有有中文参考文献不低于12篇，英文参考文献不低于2篇"
 thank_prompt = "论文题目是“{}”，目录是“{}”，请把其中的{}部分续写完整"
 kaitibaogao_prompt = "请以《{}》为题目生成研究的主要的内容、背景、目的、意义，要求不少于1500字"
-
+chinese_abstract_prompt = "请以《{}》为题目生成论文摘要，要求不少于500字"
+english_abstract_prompt = "请把“{}”这段文字翻译成英文"
+chinese_keyword_prompt = "请为“{}”这段论文摘要生成3-5个关键字"
+english_keyword_prompt = "请把“{}”这几个关键字翻译成英文"
+thanks = "致谢"
 dabiaoti = ["二","三","四","五","六","七","八","九"]
 
 # 正则
@@ -57,7 +67,14 @@ project_data_txt_path = "/home/majiahui/ChatGPT_Sever/new_data_txt"
 api_key_list = ["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",
                 "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",
                 "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",
-                "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"]
+                "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",
+                "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",
+                "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",
+                "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",
+                "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",
+                "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"]
+
+# "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"
 
 def chat_title(title, api_key):
     global lock
@@ -82,6 +99,7 @@ def chat_title(title, api_key):
 
 def chat_kaitibaogao(title, api_key, uuid_path):
     global lock
+    # time.sleep(1)
     openai.api_key = api_key
     res = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
@@ -99,6 +117,66 @@ def chat_kaitibaogao(title, api_key, uuid_path):
     lock.release()
 
 
+def chat_abstract_keyword(title, api_key, uuid_path):
+    global lock
+
+    # time.sleep(7)
+    openai.api_key = api_key
+    # 生成中文摘要
+    res = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "user", "content": chinese_abstract_prompt.format(title)},
+        ],
+        temperature=0.5
+    )
+    chinese_abstract = res.choices[0].message.content
+    # 生成英文的摘要
+    res = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "user", "content": english_abstract_prompt.format(chinese_abstract)},
+        ],
+        temperature=0.5
+    )
+    english_abstract = res.choices[0].message.content
+    # 生成中文关键字
+    res = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "user", "content": chinese_keyword_prompt.format(chinese_abstract)},
+        ],
+        temperature=0.5
+    )
+    chinese_keyword = res.choices[0].message.content
+    # 生成英文关键字
+    res = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "user", "content": english_keyword_prompt.format(chinese_keyword)},
+        ],
+        temperature=0.5
+    )
+
+    english_keyword = res.choices[0].message.content
+
+    paper_abstract_keyword = {
+        "中文摘要": chinese_abstract,
+        "英文摘要": english_abstract,
+        "中文关键字": chinese_keyword,
+        "英文关键字": english_keyword
+    }
+
+    json_str = json.dumps(paper_abstract_keyword, indent=4, ensure_ascii=False)
+    abstract_keyword_path = os.path.join(uuid_path, "abstract_keyword.json")
+    with open(abstract_keyword_path, 'w') as json_file:
+        json_file.write(json_str)
+
+    lock.acquire()
+    api_key_list.append(api_key)
+    lock.release()
+
+
 class GeneratePaper:
     def __init__(self, mulu, table):
         self.mulu = mulu
@@ -107,8 +185,7 @@ class GeneratePaper:
     def chat_content_(self,api_key, mulu_title_id, title, mulu, subtitle, prompt):
         global lock
         # time.sleep(5)
-        # api_key_list.append(api_key)
-        # self.paper[mulu_title_id] = subtitle
+        self.paper[mulu_title_id] = subtitle
         if subtitle[:2] == "@@":
             self.paper[mulu_title_id] = subtitle[2:]
         else:
@@ -148,7 +225,10 @@ def classify():  # 调用模型，设置最大batch_size
 
         # 生成开题报告
         # title, api_key, uuid_path
+
+        lock.acquire()
         api_key = api_key_list.pop()
+        lock.release()
         t = Thread(target=chat_kaitibaogao, args=(title,
                                                 api_key,
                                                 uuid_path,
@@ -156,6 +236,17 @@ def classify():  # 调用模型，设置最大batch_size
         t.start()
         thread_list.append(t)
 
+        # 生成中英文摘要
+        lock.acquire()
+        api_key = api_key_list.pop()
+        lock.release()
+        t = Thread(target=chat_abstract_keyword, args=(title,
+                                                api_key,
+                                                uuid_path,
+                                                ))
+        t.start()
+        thread_list.append(t)
+
         # 生成目录
         while True:
             if api_key_list != []:
@@ -198,15 +289,25 @@ def classify():  # 调用模型，设置最大batch_size
         print(table_of_contents)
         # table_of_contents = table_of_contents[:3] + table_of_contents[-1:]
         # print(table_of_contents)
+
+
+        thanks_bool_table = table_of_contents[-3:]
+        if thanks not in thanks_bool_table:
+            table_of_contents.insert(-1, "致谢")
+
         chat_class = GeneratePaper(mulu_list, table_of_contents)
         print(len(table_of_contents))
+
+
         ############################################################
         while True:
             if api_key_list == []:
                 continue
             if index == len(table_of_contents):
                 break
+            lock.acquire()
             api_key = api_key_list.pop()
+            lock.release()
             subtitle = table_of_contents[index]
             if index == 0:
                 prompt = first_title_prompt
@@ -215,18 +316,17 @@ def classify():  # 调用模型，设置最大batch_size
             elif subtitle == "致谢":
                 prompt = thank_prompt
             else:
-                prompt = first_title_prompt
+                prompt = small_title_prompt
             print("请求的所有参数", api_key,
                                   index,
                                   title,
-                                  mulu_list,
                                   subtitle,
                                   prompt)
 
             t = Thread(target=chat_class.chat_content_, args=(api_key,
                                                               index,
                                                               title,
-                                                              mulu_list,
+                                                              mulu,
                                                               subtitle,
                                                               prompt))
             t.start()
@@ -239,20 +339,57 @@ def classify():  # 调用模型，设置最大batch_size
             thread.join()
 
 
-        print(chat_class.paper)
-        paper = "\n".join(chat_class.paper)
-        print(paper)
+        paper_content_list = chat_class.paper
+        # paper = "\n".join(chat_class.paper)
+        # print(paper)
+
+        # 不要txt，修改为json
+        #判断 摘要是否生成完成
+        abstract_keyword_path = os.path.join(uuid_path, "abstract_keyword.json")
+        while True:
+            print(abstract_keyword_path)
+            print(os.path.exists(abstract_keyword_path))
+            if os.path.exists(abstract_keyword_path) == True:
+                break
+            time.sleep(3)
+
+        with open(abstract_keyword_path, "r", encoding="utf-8") as f:
+            abstract_keyword_dict = json.load(f)
 
-        content_path = os.path.join(uuid_path, "content.txt")
-        with open(content_path, 'w', encoding='utf8') as f_content:
-            f_content.write(paper)
+        # 开题报告
+        kaitibaogao_path = os.path.join(uuid_path, "kaitibaogao.txt")
+        while True:
+            print(kaitibaogao_path)
+            print(os.path.exists(kaitibaogao_path))
+            if os.path.exists(kaitibaogao_path) == True:
+                break
+            time.sleep(3)
+        with open(kaitibaogao_path, "r", encoding="utf-8") as f:
+            kaitibaogao = f.read()
+
+        print("文件路径检测完成")
+
+        paper_dict = {}
+        for i in abstract_keyword_dict:
+            paper_dict[i] = abstract_keyword_dict[i]
+
+        paper_dict["正文"] = paper_content_list
+        paper_dict["目录"] = mulu
+        paper_dict["开题报告"] = kaitibaogao
+
+        json_str = json.dumps(paper_dict, indent=4, ensure_ascii=False)
+        paper_content_path = os.path.join(uuid_path, "paper_content.json")
+        with open(paper_content_path, 'w') as json_file:
+            json_file.write(json_str)
+
+        # content_path = os.path.join(uuid_path, "content.txt")
+        # with open(content_path, 'w', encoding='utf8') as f_content:
+        #     f_content.write(paper_dict)
 
         mulu_path = os.path.join(uuid_path, "mulu.txt")
         with open(mulu_path, 'w', encoding='utf8') as f_mulu:
             f_mulu.write(mulu)
 
-        kaitibaogao_txt_path = os.path.join(uuid_path, "kaitibaogao.txt")
-
         # word保存路径
 
         save_word_paper = os.path.join(uuid_path, "paper.docx")
@@ -264,19 +401,19 @@ def classify():  # 调用模型，设置最大batch_size
         #     f2.write(content_base64)
 
         # 拼接成word
-        title = pa.quote(title)
-        mulu_path = mulu_path
-        content_path = content_path
-
-        # 调用jar包
-        print("java_path", mulu_path, content_path, title, save_word_paper)
-        os.system(
-            "java -Dfile.encoding=UTF-8 -jar '/home/majiahui/ChatGPT_Sever/createAiXieZuoWord.jar' '{}' '{}' '{}' '{}'".format(
-                mulu_path, content_path, title, save_word_paper))
-
-        print("jaba_kaitibaogao", kaitibaogao_txt_path, save_word_paper_start)
-        os.system("java -Dfile.encoding=UTF-8 -jar '/home/majiahui/ChatGPT_Sever/createAiXieZuoKaitiWord.jar' '{}' '{}'".format(
-                kaitibaogao_txt_path, save_word_paper_start))
+        # title = pa.quote(title)
+        # mulu_path = mulu_path
+        # content_path = content_path
+        #
+        # # 调用jar包
+        # print("java_path", mulu_path, content_path, title, save_word_paper)
+        # os.system(
+        #     "java -Dfile.encoding=UTF-8 -jar '/home/majiahui/ChatGPT_Sever/createAiXieZuoWord.jar' '{}' '{}' '{}' '{}'".format(
+        #         mulu_path, content_path, title, save_word_paper))
+        #
+        # print("jaba_kaitibaogao", kaitibaogao_txt_path, save_word_paper_start)
+        # os.system("java -Dfile.encoding=UTF-8 -jar '/home/majiahui/ChatGPT_Sever/createAiXieZuoKaitiWord.jar' '{}' '{}'".format(
+        #         kaitibaogao_txt_path, save_word_paper_start))
 
         url_path_paper = "http://104.244.90.248:14000/download?filename_path={}/paper.docx".format(query_id)
         url_path_kaiti = "http://104.244.90.248:14000/download?filename_path={}/paper_start.docx".format(query_id)
@@ -382,4 +519,4 @@ t1 = Thread(target=classify)
 t1.start()
 
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=14002, threaded=True, debug=False)
\ No newline at end of file
+    app.run(host="0.0.0.0", port=14000, threaded=True, debug=False)
\ No newline at end of file
diff --git a/serve_config_1.py b/serve_config_1.py
new file mode 100644
index 0000000..98ed15f
--- /dev/null
+++ b/serve_config_1.py
@@ -0,0 +1,45 @@
+
+
+class Config:
+    def __init__(self):
+
+        # 目录提取拼接相关参数
+        self.pantten_second_biaoti = '[2二ⅡⅠ][、.]\s{0,}?[\u4e00-\u9fa5]+'
+        self.pantten_other_biaoti = '[2-9二三四五六七八九ⅡⅢⅣⅤⅥⅦⅧⅨ][、.]\s{0,}?[\u4e00-\u9fa5]+'
+
+        # chatgpt 接口相关参数
+        self.mulu_prompt = "请帮我根据题目为“{}”生成一个论文目录"
+        self.first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容补充完整，补充内容字数在100字左右"
+        self.small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容补充完整，补充内容字数在100字左右"
+        self.references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成15篇左右的参考文献，要求其中有有中文参考文献不低于12篇，英文参考文献不低于2篇"
+        self.thank_prompt = "请以“{}”为题写一篇论文的致谢"
+        self.kaitibaogao_prompt = "请以《{}》为题目生成研究的主要的内容、背景、目的、意义，要求不少于100字"
+        self.chinese_abstract_prompt = "请以《{}》为题目生成论文摘要，要求生成的字数在100字左右"
+        self.english_abstract_prompt = "请把“{}”这段文字翻译成英文"
+        self.chinese_keyword_prompt = "请为“{}”这段论文摘要生成3-5个关键字"
+        self.english_keyword_prompt = "请把“{}”这几个关键字翻译成英文"
+        self.dabiaoti = ["二", "三", "四", "五", "六", "七", "八", "九"]
+        self.project_data_txt_path = "/home/majiahui/ChatGPT_Sever/new_data_txt"
+        self.openaikey_list = ["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",
+                          "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",
+                          "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"
+                               ]
+        # "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",
+        # "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"
+        # "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",
+        # "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",
+        # "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",
+        # "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"
+
+        # 流程相关参数
+        self.thanks = "致谢"
+        self.references = "参考文献"
+
+        # flask port
+        self.flask_port = "14000"
+
+        # redis config
+        self.reids_ip = 'localhost'
+        self.reids_port = 63179
+        self.reids_db = 2
+        self.reids_password='Zhicheng123*'
\ No newline at end of file
diff --git a/serve_config_2.py b/serve_config_2.py
new file mode 100644
index 0000000..d7aa329
--- /dev/null
+++ b/serve_config_2.py
@@ -0,0 +1,43 @@
+
+
+class Config:
+    def __init__(self):
+
+        # 目录提取拼接相关参数
+        self.pantten_second_biaoti = '[2二ⅡⅠ][、.]\s{0,}?[\u4e00-\u9fa5]+'
+        self.pantten_other_biaoti = '[2-9二三四五六七八九ⅡⅢⅣⅤⅥⅦⅧⅨ][、.]\s{0,}?[\u4e00-\u9fa5]+'
+
+        # chatgpt 接口相关参数
+        self.mulu_prompt = "请帮我根据题目为“{}”生成一个论文目录"
+        self.first_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的大标题“{}”的内容补充完整，补充内容字数在100字左右"
+        self.small_title_prompt = "论文题目是“{}”，目录是“{}”，请把其中的小标题“{}”的内容补充完整，补充内容字数在100字左右"
+        self.references_prompt = "论文题目是“{}”，目录是“{}”，请为这篇论文生成15篇左右的参考文献，要求其中有有中文参考文献不低于12篇，英文参考文献不低于2篇"
+        self.thank_prompt = "请以“{}”为题写一篇论文的致谢"
+        self.kaitibaogao_prompt = "请以《{}》为题目生成研究的主要的内容、背景、目的、意义，要求不少于100字"
+        self.chinese_abstract_prompt = "请以《{}》为题目生成论文摘要，要求生成的字数在100字左右"
+        self.english_abstract_prompt = "请把“{}”这段文字翻译成英文"
+        self.chinese_keyword_prompt = "请为“{}”这段论文摘要生成3-5个关键字"
+        self.english_keyword_prompt = "请把“{}”这几个关键字翻译成英文"
+        self.dabiaoti = ["二", "三", "四", "五", "六", "七", "八", "九"]
+        self.project_data_txt_path = "/home/majiahui/ChatGPT_Sever/new_data_txt"
+        self.openaikey_list = [
+                        "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",
+                        "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",
+                          "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"
+        ]
+        # "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",
+        # "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",
+        # "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"
+
+        # 流程相关参数
+        self.thanks = "致谢"
+        self.references = "参考文献"
+
+        # flask port
+        self.flask_port = "14000"
+
+        # redis config
+        self.reids_ip = '104.244.89.190'
+        self.reids_port = 63179
+        self.reids_db = 2
+        self.reids_password='Zhicheng123*'
\ No newline at end of file
diff --git a/查询uuid.py b/查询uuid.py
index ce9d614..518b062 100644
--- a/查询uuid.py
+++ b/查询uuid.py
@@ -1,13 +1,27 @@
 import requests
 import time
 
-data = {"id": "58abde1c-d1ef-11ed-a2cd-aaaa001aad2e"}
+data = {"id": "a259c76a-d521-11ed-b23c-aaaa001b4bbf"}
 
 start = time.time()
 
-res = requests.post('http://104.244.90.248:14000/search', json=data)
+res = requests.post('http://104.244.89.190:14002/search', json=data)
 end = time.time()
 print(end - start)
 
 
-print(res.text)
\ No newline at end of file
+print(res.text)
+
+'''
+da823db0-d50e-11ed-a38c-aaaa001b4bbf
+e8bb13f2-d50e-11ed-b37a-aaaa001b4bbf
+f3e2c216-d50e-11ed-9869-aaaa001b4bbf
+268f0b52-d50f-11ed-b741-aaaa001b4bbf
+'''
+
+
+'''a9880f98-d516-11ed-b1f9-aaaa001b4bbf
+b689132c-d516-11ed-b4e7-aaaa001b4bbf
+c3f4bea8-d516-11ed-beda-aaaa001b4bbf
+cd948cb8-d516-11ed-9847-aaaa001b4bbf
+f2c5920c-d516-11ed-96b1-aaaa001b4bbf'''
diff --git a/测试chatgpt调用接口.py b/测试chatgpt调用接口.py
index afbd2a1..8506282 100644
--- a/测试chatgpt调用接口.py
+++ b/测试chatgpt调用接口.py
@@ -7,11 +7,13 @@
 @Software: 
 @Describe:
 """
+import time
+
 import openai
 import flask
 
-def chat_drop():
-    openai.api_key = "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"
+def chat_drop(api_key):
+    openai.api_key = api_key
     res = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
         messages=[
@@ -23,5 +25,19 @@ def chat_drop():
         top_p=1,
     )
     print(res.choices[0].message.content)
+    time.sleep(3)
+
+openaikey_list = ["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",
+                          "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",
+                          "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",
+                          "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",
+                          "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",
+                          "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",
+                          "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",
+                          "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",
+                          "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"]
+
+for i in openaikey_list:
+    chat_drop(i)
 
-chat_drop()
\ No newline at end of file
+chat_drop("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")
\ No newline at end of file
diff --git a/测试flask多进程.py b/测试flask多进程.py
new file mode 100644
index 0000000..e56488a
--- /dev/null
+++ b/测试flask多进程.py
@@ -0,0 +1,13 @@
+from flask import Flask
+
+app = Flask(__name__)
+
+
+@app.route("/")
+def index():
+    filename_path = request.args.get('filename_path', '')
+    return "Hello world!"
+
+
+if __name__ == "__main__":
+    app.run('0.0.0.0', port=11000, debug=True)
\ No newline at end of file
diff --git a/测试多进程.py b/测试多进程.py
index 0c0450c..a3e235b 100644
--- a/测试多进程.py
+++ b/测试多进程.py
@@ -1,6 +1,6 @@
 import threading
 
-num = 0
+
 lock = threading.Lock()
 
 
@@ -18,6 +18,7 @@ def sub():
     lock.release()
 
 for i in range(1000):
+    num = 0
     t1 = threading.Thread(target=add, )
     t2 = threading.Thread(target=sub, )
     t1.start()
diff --git a/测试生成uuid.py b/测试生成uuid.py
index 8701fbd..f7e7d79 100644
--- a/测试生成uuid.py
+++ b/测试生成uuid.py
@@ -5,7 +5,7 @@ data = {"title": "大型商业建筑人员疏散设计研究"}
 
 start = time.time()
 
-res = requests.post('http://104.244.90.248:14000/chat', json=data)
+res = requests.post('http://104.244.89.190:14002/chat', json=data)
 end = time.time()
 print(end - start)
 
diff --git a/简单的flask.py b/简单的flask.py
index 90c8dff..3609bec 100644
--- a/简单的flask.py
+++ b/简单的flask.py
@@ -3,7 +3,7 @@ from flask import Flask
 app = Flask(__name__)
 
 
-@app.route("/aa")
+@app.route("/")
 def index():
     return "Hello world!"