Receipt example

atb
18.07.2023 18:23:33
243.71
=
молоко
батон
морозиво
=
image=image_name_of_receipt_example_atb.26.09.2022.15.29.32.jpg
category=лікування

First 3 lines is required,
all next, from line separetion(symbol =), is optional.

Image of receipt must be saved to project_directory/receipts_images directory.
The best image name is: shop_name.date.time, like in example above.

To link the photo and the check together, write keyword image=
and write name of the photo(example above).

For add category to the check, write keyword category=
and write category name as in example above.

Install

Run script ./install.bash to see steps + shell completion(bash/zsh).

• Add to yout shell config file:
  "SPENDING_INSTALL=path_to_this_directory"
• Then add "export PATH=$PATH:$SPENDING_INSTALL"
• Save and reload config file.
• Now you have 'spending' application.

Service web server Node.js

You can run web server as systemd service.
The service file is spending.service

Commands for use service

web_server_start - start web server as service web_server_stop - stop web server as service

systemctl commands

• Make systemd aware of the new service: sudo systemctl daemon-reload
• Make the service start on boot: sudo systemctl enable spending
• Start it with: systemctl start spending
• See logs with: journalctl -u spending

Usage

See usage

Additional functions

Validation

• store name
• date and time
• price
• chunk delimeter

Run only from this project directory

show_last_n_days.bash - Show last added
receipts n days ago

Use R programming language

Show list of installed libraries: installed.packages()
Install dplyr library use: install.packages("tidyverse") in R REPL.
Description of library: https://cran.r-project.org/web/packages/dplyr/vignettes/base.html Example of graph: https://r-graph-gallery.com/37-barplot-with-number-of-observation.html Example of R code: https://github.com/PacktPublishing/R-Programming-By-Example/blob/master/Chapter03/vectorized_vs_unvectorized.R

• price min mean max values for all period
• price min mean max values for all each month in selected year
• count for each month hom much time go to shop(spend money) and total in selected year
• count what shop is most visited
• what category of stuff most buy // after all receipts have category // check for this condition
• price count range for each month in selected year
• for each shop count min max mean of price for each month and total in selected year

Statistics description(how to understand)

Frequency table

Frequency means the number of times a value
appears in the data. A table can quickly show us
how many times each value appears.

Relative frequency table

Relative frequency means the number of times a
value appears in the data compared to the total
amount. A percentage is a relative frequency.

Cumulative frequency table

Cumulative frequency counts up to a particular
value.

Mean

The mean is usually referred to as 'the average'.

Median

The median is the middle value in a data set
ordered from low to high.

Range

The range is the difference between the smallest
and the largest value of the data.
Range is the simplest measure of variation.

Development

Makefile included.

For testing bash scripts used bats that include to this repository:

• https://github.com/bats-core/bats-core
• https://github.com/bats-core/bats-file
• https://github.com/bats-core/bats-assert

For testing neovim plugin, lua script with neovim api, used nvim --headless with only pcall() and assert().

For testing javascript, Node.js web server, for now no tests.