CSV-AutoClass
NAME
CSV-AutoClass - Define a class with a CSV file and provide data for a list of class objects in the same file
SYNOPSIS
use CSV-AutoClass;
DESCRIPTION
CSV-AutoClass is a module with two accompanying programs. For each program, execute it without any arguments to see instructions.
csv2class
Converts a suitably-formatted CSV file into a class-generator module.
For instance, given a CSV file named
persons.cav
, the program will generate modulePerson.rakumod
which can be used by another included program,use-class
, to demonstrate using the module.use-class
Uses a CSV file with class data to list all the data. It uses
CSV-AutoClass
routines provided for interrogating any suitable list ofCSV-AutoClass objects
.Its
help
option has many more details about its usage.
Notes
The header line in the CSV data file is currently designed to use alphanumeric characters which works fine with files designed by the user. However, files produced by outside entities, such as banks, stock markets, and government agencies, may use other symbols (such as '#') that cannot be used in Raku for class attribute names. In such cases, the names will be transformed into approximations which may include the zero-index number of the field's position in the header line.
One known example is the header line in the transactions files of the Hancock-Whitney Bank. That transaction file header is shown below.
Date,Check#,Transaction Type,Description,Debits (-),Credits(+)
It is transformed into this header for attribute naming:
Date,Check,TransactionType,Description,Debit,Credit
On the other hand, Synovus Bank has the following header for its transactions CSV file. The field names work fine after down-casing them:
Date,Account,Description,Category,Check,Credit,Debit
In both cases the class attribute names are clear and objects created from the CSV files should be good translations of the attribute values as strings. However, the meaning of the columns may not be obvious, nor may the transactions be unique if the files are concatenated erronously by the user in processing the downloads.
Also note both banks have their transactions temporally ordered with the most recent one on top. Given that, the user is cautioned about rewriting those files for whatever reason. One suggestion is to add an index number column and start the first tranaction in each month with one and increment by one for succeeding transactions
Possible improvements
In like manner to module
App::Mi6
, add an INI file to the user's$*HOME
directory to be used for defining translations for CSV file header field names. Such translations could be modified by the user if the user wishes to improve the transformation.Use a database for storage instead of a CSV file.
TODO
Make field name translations work.
Add extensive tests.
AUTHOR
Tom Browder <[email protected]>
COPYRIGHT AND LICENSE
Copyright 2022 Tom Browder
This library is free software; you may redistribute it or modify it under the Artistic License 2.0.