Bao Artificial intelligence and quant start here
Bao AI and quan platform is a simple, intuitive and powerful front-end and back-end SPA development framework. It supports internationalization, and based on modules, makes the development of web applications, AI and quantification system faster and simpler. The platform includes several modules, mainly including role-based rights management basic platform (user, role, rights, log, attachment, configuration parameter, classification management), notification module, automatic code generation module, task system module, content management system module, website module, electronic manual module, artificial intelligence module, image recognition module, face recognition module, Financial data collection module, big data module, quantitative transaction module, etc.
Over 100000 lines of code
Modular platform, easy to develop and extend
Front end compatible with multiple browsers
Good compatibility, responsive design
Low learning curve of platform secondary development, easy to use
Front and back code separation
H5 based single page application (SPA)
Automatic code generator
Automatically generate API documents and test interface
Support multi database and data migration
Powerful rich text editing
Financial data collection module
Perfect development and deployment tools and Solutions
Baoai front and back end separate frame structure, including front-end items and back-end items
Source code of front-end project: [baoaifront] (https://gitee.com/yunbaonet/baoaifront)
Source code of backend project: [baoaiback] (https://gitee.com/yunbaonet/baoaiback)
[baoai development manual] (README.md)
[frame selection] (select.md)
[development tools] (tools.md)
[installation steps] (install.md)
Chinese (Simplified) Language Pack for Visual Studio Code
Need to install Node.js
# bower: npm install -g bower # gulp npm install -g gulp # Install third-party JS bower install # Install dependency Library: npm install # Mode 1 of running front-end code: built in data simulation API, suitable for front-end engineers gulp server # Mode 2 of running front-end code: Python full stack Development Engineer gulp serve # Mode 3 of running front-end code: Python full stack development engineer, reverse agent (front and back end share the same address and port, only directory is different) gulp proxy # Build production code gulp build # Mode 4 of running front-end code: test run production code gulp prod
The production code is saved in the
Need: Python 3.6
# 1. Create a virtual environment # windows, 假设项目根路径：d:/baoai/BaoaiBack/ cd d:/baoai/BaoaiBack mkdir venv cd venv python -m venv . # run virtual environment d:/baoai/BaoaiBack/venv/Scripts/activate.bat cd d:/baoai/BaoaiBack # linux, 假设项目根路径：/baoai/BaoaiBack/ cd /baoai/BaoaiBack mkdir venv cd venv python -m venv . # run virtual environment source /baoai/BaoaiBack/venv/bin/activate cd /baoai/BaoaiBack # 2. Install dependent libraries (must be in a virtual environment) # windows Install dependent libraries python -m pip install --upgrade pip pip install -r requirements.txt # Domestic image can be used if the download speed is slow pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt # linux Install dependent libraries python -m pip3 install --upgrade pip pip3 install -r requirements.txt # Domestic image can be used if the download speed is slow pip3 install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt # 3. run Restful service # windows run_baoai.bat # linux # gunicorn wsgi chmod +x run_baoai.sh ./run_baoai.sh # 4. run www service(Jinja template) # windows run_www.bat # linux chmod +x run_www.sh ./run_www.sh # Common functions # Clear cache python manage.py clean
This project supports most popular relational databases, including SQLite, mysql, Postgres, Oracle, MS-SQL, sqlserver and Firebird.
SQLite database and MySQL data script file have been provided. MySQL supports version 5.5 and above.
There is no need to modify the code for database conversion, only the Sqlalchemy database URI in config.py can be modified.
By default, SQLite database is used. The advantage is that there is no need to install special database software, which is convenient for testing and development. For production deployment, please use MySQL or other database software.
SQLite data is saved in 'dB / baoai. Db', which can be used directly.
The MySQL database script is saved in 'dB / baoai. Mysql. SQL'. You need to create a new database such as baoai, and then import the script.
If you use other databases, you can use "data transfer" in the "Navicat premium" tool menu to migrate data before different databases.
Database related operations:
python manage.py db init
python manage.py db migrate
python manage.py db upgrade
## roject code auto generation module With the automatic code generation module, fields, models, generated databases, front-end code, back-end code and permission configuration can be visualized together, and general projects can be implemented with zero code. This part mainly includes three extension modules: data migration module, automatic code model module and automatic code generation module ## BaoAI platform system architecture <img style="vertical-align: top;" src="./assets/img/baoai/sys.png" alt="logo" height="300px"> ## BaoAI Knowledge system It can be used in front-end and back-end system software development, CMS, artificial intelligence, image recognition, face recognition, big data and quantitative investment fields. The front-end and back-end separate the spa architecture, and use the front-end framework such as angularjs / bootstrap to realize responsive and Spa programming. The back-end mainly uses Python language, mainly including the following frameworks: Flask provides Web services, jinja2 provides template services, numpy, pandas, scikit learn, tensorflow and keras to realize artificial intelligence services, cellery implements task scheduling, and scraper provides web crawlers, Financial quantitative services based on backtrader. <img style="vertical-align: top;" src="./assets/img/baoai/know.png" alt="logo" height="400px"> Design case based on baoai： Content management website： <img style="vertical-align: top;" src="./assets/img/baoai/web.png" alt="logo" height="300px"> Management system background： <img style="vertical-align: top;" src="./assets/img/baoai/admin.png" alt="logo" height="300px"> AI： <img style="vertical-align: top;" src="./assets/img/baoai/ai.png" alt="logo" height="300px"> Quant： <img style="vertical-align: top;" src="./assets/img/baoai/quant.png" alt="logo" height="300px"> ## Helo + Email [email@example.com](firstname.lastname@example.org) ## License Apache2.0 ## Copyright <img style="vertical-align: top;" src="./assets/img/baoai/soft.jpg" alt="logo" height="400px">