There are several parts of this project：

All charts can be defined via a XML template(include customized parameters and styles) and the chart generator component can generate the JavaScript code which can be used directly in HTML (according to the template and data you provided) .

Find more information about the chart template here.

All charts templates are stored under BI/EChartT/<chart_type>/<template_name>.etmp. Also you can define whatever template you want here.

Note : Only few templates under Line and Bar can be used for now.

Pending

Find more information about the table template here.

This is a simple report generator module that can use above table & chart generator.

Find more information about the report template here.

This module contains above 2 parts and is consist of 2 submodules:

• Stock_ETL -> This is a ETL process based on pandas and Tushare, data will be loaded into a local database via Tushare API.
• app/stock -> A web reporting system. This module is designed to display as many analytical information (tables and charts) as possible. You can query the information by providing the stock code.

1. Install the packages below:

• xlwt
• lxml
• numpy
• pandas
• sqlalchemy
• pymssql
• xlrd
• flask
• flask-wtf
• flask-bootstrap
• tushare
• wordcloud
• pillow
• jieba

2. Modify the configuration file under app/config.py

3. Create a database configuration file at app/db_info/no_git_file.py and define below variables:

       TARGET_DB_HOST ='192.168.0.117'
       TARGET_PORT = 1433
       TARGET_USERID = 'user_id'
       TARGET_PASSWORD= 'user_password'
       TARGET_DB_NAME= 'stock'
       TARGET_SCHEMA='stock'

4. Create database tables according to Stock_ETL/mssql_ddls.sql.

5. Modify the wordcloud configuration file at Stock_ETL/config.py：

       default_word_font_ttf = <font file(ttf file)> #The font file that used by word cloud.
       'The font file is a little bigger so I don't upload it to github. You can find any font you like to config this'
       wordcloud_path=<path to store the wordcloud pictures> #Default path is app/subapps/stock/static/wordcloud
       default_dict=<the default dictionary used by jieba package> 
       exclude_words=<a list contains the words that can be ingored when generate word cloud pictures>

6. Using below commands to import stock data

       import Stock_ETL.backend_jobs as bj
       bj.daily_run()

Pending