emu
1.0.0
使用Azure OpenAI API GPT-3.5-Turbo生成了用户要求的程序描述的代码。
代码更改/添加以每月 - api request的基础添加。
如果程序在运行时投掷，则将日志错误发送到DEBUG的GPT，代码或文本davinci模型。
Repo file structure:
.
├── config_dir #file configuration
├── config.json #project files, paths, token limits metadata
├── config.py #set by user API, model, temperature for each request
├── credentials #credentials folder for OpenAI API
│ └── self_config.py #Azure OpenAI API credentials & model names metadata
#Move sample_self_config.py to self_config.py and fill data
├── emu_cli.py #run this module to run the program
├── feature_common.py #common methods for feature requests to API
├── feature_manager.py #manager for each feature requested by user in the menu
├── ft_operations #non-API requests directory
│ ├── op_loadcode.py #loads code from local file to apply code change requests to it
│ ├── op_run_program.py #run the code
├── ft_requests #feature text requests directory
│ ├── feature_request_argparse.py #standard add argparse request
│ ├── feature_request_custom_req.py #user enters custom system and request prompt
│ ├── feature_request_debuglogs.py #send logs from running the program to API to debug error found in logs
│ ├── feature_request_docstrings.py #add docstrings
│ ├── feature_request_excpt_and_log.py #add exception handling and logs to the code
│ ├── feature_request_rawcode.py #generate initial code from a program description
├── log_list_handler.py
├── project #project output directory
│ ├── module.log
│ ├── module.py #code requested stored here and versioned
├── prompt_txt #prompt specs directory for each request
│ ├── clean_json_rq.py
│ ├── custom_req.py
│ ├── debug_rq.py
│ ├── docstrings_rq.py
│ ├── error_hndl_logging_rq.py
│ ├── input_and_argparse_rq.py
│ ├── raw_code_rq.py
├── README.md
├── requirements.txt
├── sample_self_config.py
├── tools #file and request management utilities directory
│ ├── file_management.py
│ └── request_utils.py
├── user_interaction.py #user interaction class
Python v3.10+必需的Python必需包装：请参阅要求。
所需的路径更改：将路径更改到python环境的config.json：例如“ python_env_path”：“/home/home/sergio/sergio/anaconda3/bin/python“用于当前env设置值的路径为“ python”的路径
身份验证：在此项目的根部创建“ CREDS”目录，并保存在IT中sample_self_config.py。将此py文件重命名为self_config.py，然后输入您的端点，模型/部署名称和密钥。使用Azure OpenAI API测试的项目。未经测试的Openai API。
根据请求配置OpenAI型号和温度：
执行此程序：在命令行./emu_cli.py显示菜单：
1. Generate Raw Code
Request model for code according to a description you provide.
2. Load Raw Code Script From File
3. Add Argparse
4. Exception Handling and Logging
5. User Custom Request
Requirement: code to be already loaded. Expected JSON response as specified in custom_req.py json_required_format variable.
6. Run Program And Request Repair of Debug Logs
Run the program and upon errors send the log error captured for the model to amend the code accordingly.
7. Add Docstrings To Program Code.
8. Set Menu Sequence
9. Run All
10. Exit
Choose your request:
切换以显示每个请求的提示：在config_dir/config.py toggle bool show_request
如果您觉得有帮助，可以给我买咖啡:)
