A web app to maintain a small water kettle supplier business.
graph LR
login[Login] -- Fail --> login[Login]
login[Login] -- Pass --> dashboard[Dashboard]
dashboard[Dashboard] --> add_cust[Add New Customer]
dashboard[Dashboard] --> add_req[Add a Request]
dashboard[Dashboard] --> total_pending[Total Pending]
dashboard[Dashboard] --> pending_req[Pending Requests]
dashboard[Dashboard] --> view_all_customer[Ledger]
dashboard[Dashboard] --> visuals[Visuals]
add_cust[Add New Customer] --> add_cust_form[Name, Address, Phone Number, Email, bottles_per_day, price_per_bottle]
add_req[Add a Request] --> add_req_form[customer_id, num_of_bottles, deliever_by]
pending_req[Pending Requests] --> pending_requests_table[customer_name, num_of_bottles, deliever_by, delievery_address, phone_number]
total_pending[Total Pending] --> total_pending_table[customer_name, pending_amount, last_collected_on]
view_all_customer[Ledger] --> view_all_customer_table[customer_name, num_of_bottles, delievered_on, money_collected_on]
view_all_customer_table --filterbyname--> view_single_customer_table[customer_name, num_of_bottles, delievered_on, money_collected_on]
visuals --> stats[month_collected, profit, monthly_progress, bottles_delievered, total_customers]
To compile this please install following extension https://chrome.google.com/webstore/detail/github-%20-mermaid/goiiopgdnkogdbjmncgedmgpoajilohe
- Create a virtual environment with python3.7 or greater
- Install MySQL > 5.5
- Create db
divya_jal_suppliers - Load data into
divya_jal_suppliersfrom the filesetup/dbqueries.sql - Install requirements.txt using pip
$pip install -r requirements.txt - Run
$python -m flask run