Flask Dashboard Codebase (Updated) - Sales API, Sales Charts, Custom CLI Commands
Flask Dashboard Boilerplate (reference codebase) - v2.0.2-rc3 release summary: Sales API Node, Real Charts Metrics displayed on the main dashboard.
Hello! Our Flask Reference Codebase used for all related products (Flask Dashboards, free & pro) has been updated to include new API nodes and sales charts based on loaded sample data. The product can be downloaded from Github (MIT License) and used for commercial products and eLearning activities. Thanks for reading!
- 👉 Flask Boilerplate Code - source code
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Release Notes - v2.0.2-rc3
New Features / Improvements
- New API Node:
/api/sales
returns sales stats
- Main Dashboard Update
- Charts are real
- Updated Sample Input with more data
media\transactions_data.csv
- APP CLI Update
flask load_data
- randomize the dates (preserve values)load_random_data
- randomize the dates AND values
Impacted Files:
apps\api\routes.py
- Implements the API route(s)apps\home\models.py
- Update the Data Modelapps\templates\home\dashboard.html
- Update the page / JS Scripts- Input Sample file
media\transactions_data.csv
run.py
- define custom Jinja Filter- convert unix timestamp to YYYY-MM-DD
All new features can be tested in less than 1 minute using the Docker
set up shipped with the sources:
Step #1
Step #2
Flask Boilerplate Code - Sales API (public node)
Thanks for reading! For more resources please access:
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