CSV Perusal

A cargo crate that reads CSV files and returns the contents of the file with the appropriate datatype. Inspired by Calamine, this package aims to make dealing with CSV files easier.

CSV Perusal is built with uploading values from CSV files into relational databases in mind. The value returned when opening a CSV file is a 2D vector, with each inner vector acting as a different row.

CSV Perusal is very simple and easy to use. You only need to know one function and one enumerator. The open_csv() function returns a 2d vector of the CSVType enumerator which returns any of the following:

• Int(i64)
• Float(f64)
• String(String)
• Date(String)
• Time(String)
• DateTime(String)
• Error(String) THIS IS TEMPORARY
• Empty

Example

use csv_perusal::{open::open_csv, csvtype::CSVType};

fn main() {
    let path = "test_data/MOCK_DATA.csv";

    let data = open_csv(path).unwrap();

    for (y, row) in data.iter().enumerate() {
        for cell in row.iter() {
            match cell {
                CSVType::Int(val) => print!("INT: {:?}, ", val),
                CSVType::Float(val) => print!("FLOAT: {:?}, ", val),
                CSVType::String(val) => print!("STRING: {:?}, ", val),
                CSVType::Date(val) => print!("DATE: {:?}, ", val),
                CSVType::Time(val) => print!("TIME: {:?}, ", val),
                CSVType::DateTime(val) => print!("DATETIME: {:?}, ", val),
                CSVType::Error(e) => panic!("++++++++++++++ERROR++++++++++++++ {:?}", e),
                CSVType::Empty => print!("NONE, "),
            }
        }
        print!("\n");
        if y == 0 {
            println!("-----------------------------");
        }
    }
}

Input

Result

STRING: "id", STRING: "Money", STRING: "Percent", STRING: "Date", STRING: "DateTime", STRING: "Time12h", STRING: "Time24h",
-----------------------------
INT: 1, FLOAT: 8.7, FLOAT: 34.1, DATE: "2023-05-28", DATETIME: "2023-10-25 19:48:00", TIME: "17:31:00", TIME: "23:02:00",
INT: 2, FLOAT: 6.08, FLOAT: 90.1, DATE: "2023-02-07", DATETIME: "2023-11-04 01:58:00", TIME: "06:47:00", TIME: "14:11:00",
INT: 3, FLOAT: 6.44, FLOAT: 50.1, DATE: "2023-07-24", DATETIME: "2023-07-04 01:04:00", TIME: "12:32:00", TIME: "17:27:00",
INT: 4, FLOAT: 4.99, FLOAT: 15.6, DATE: "2022-12-29", DATETIME: "2023-12-04 11:34:00", TIME: "17:17:00", TIME: "04:53:00",

Things to Know

• Percentages and currency are converted into floats
• Times and dates are formatted by Chrono
  • It will attempt mm/dd/yyyy and yyyy/mm/dd formats first but will change to dd/mm/yyyy or yyyy/dd/mm if month value is greater than 12. Please be aware if you have dates in dd/mm/yyyy format, dates such as 2/11/2024 will be read as February 11th instead of November 2nd.
  • Will output dates as yyyy-mm-dd but you can use the Chrono package to change the format
  • Currently parses: mm/dd/yyyy, dd/mm/yyyy, yyyy/mm/dd, yyyy/dd/mm, m/dd/yyyy, mm/d/yyyy, dd/m/yyyy, yyyy/mm/d, yyyy/dd/m, yyyy/m/dd, m/d/yyyy, yyyy/m/d, mm/dd/yy, dd/mm/yy, m/dd/yy, mm/d/yy, dd/m/yy, yy/m/dd, yy/mm/d, yy/dd/m, m/d/yy, yy/m/d
• Time is in a 24 hour format but can also be changed to a 12 hour format with Chrono
• The Error in the CSVType enumerator is std::convert::Infallible which is used when there's an issue parsing datatypes. The only other error is if the path for open_csv() is invalid.