7 releases

0.2.1 Apr 10, 2024
0.2.0 Sep 24, 2019
0.1.0 Jan 3, 2019
0.0.4 Oct 11, 2017
0.0.3 Aug 10, 2017

#59 in Date and time

GPL-3.0 license

72KB
946 lines

Timespan Library for Rust 🦀

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A simple timespan for chrono times


Usage

Put this in your Cargo.toml:

[dependencies]
timespan = "^0"

Or, if you want Serde support, include it like this:

[dependencies]
timespan = { version = "^0", features = ["with-serde"] }

Overview

Date and Time Spans

Timespan can be used to create a time zone aware span consisting of chrono::DateTimes.

Currently the DateTimeSpan supports serialization and deserialization for the chrono::Utc, chrono::Local and chrono::FixedOffset time zones. For support of other time zone types please refer to the documentation.

When the with-serde feature is enabled DateTimeSpan has support for serde serialization and deserialization.

use timespan::DateTimeSpan;
use chrono::Utc;

let a: DateTimeSpan<Utc> = "2017-01-01T15:10:00 +0200 - 2017-01-02T09:30:00 +0200"
   .parse().unwrap();

assert!(
    format!("{}", a.format("{start} to {end}", "%c", "%c")) ==
    "Sun Jan  1 13:10:00 2017 to Mon Jan  2 07:30:00 2017"
);

Individual Date Spans

A DateSpan can be used to create a time zone aware span consisting of chrono::Dates.

Currently the DateSpan does not support serialization and deserialization from strings.

use timespan::DateSpan;
use chrono_tz::Europe::Paris;

let a = DateSpan::from_utc_datespan(
    &"1789-06-17 - 1799-11-10".parse().unwrap(),
    &Paris,
);

let f = a.format(
    "The french revolution lasted from the {start} to the {end}.",
    "%eth of %B %Y",
    "%eth of %B %Y",
);
assert!(
    format!("{}", f) ==
    "The french revolution lasted from the 17th of June 1789 to the 10th of November 1799."
);

Naive Date and Time Spans

The NaiveDateSpan, NaiveTimeSpan and NaiveDateTimeSpan are all not aware of time zones and can be used for simple time spans.

All naive spans have full support for serialization and deserialization from strings.

When the with-serde feature is enabled all naive spans have support for serde serialization and deserialization.

use timespan::NaiveDateSpan;

let a: NaiveDateSpan = "2017-04-15 - 2017-08-15".parse().unwrap();
let b = NaiveDateSpan::parse_from_str(
    "15.04.17 - 15.08.17",
    "{start} - {end}",
    "%d.%m.%y", "%d.%m.%y"
).unwrap();

let f = a.format("from {start} to {end}", "%m/%d", "%m/%d");
assert!(format!("{}", f) == "from 04/15 to 08/15");
assert!(a == b);
use timespan::NaiveTimeSpan;

let a: NaiveTimeSpan = "17:30:00 - 19:15:00".parse().unwrap();
let b = NaiveTimeSpan::parse_from_str(
    "05.30 PM - 07.15 PM",
    "{start} - {end}",
    "%I.%M %P", "%I.%M %P"
).unwrap();

let f = a.format("from {start} to {end}", "%R", "%R");
assert!(format!("{}", f) == "from 17:30 to 19:15");
assert!(a == b);
use timespan::NaiveDateTimeSpan;

let a: NaiveDateTimeSpan = "2017-02-20T11:30:00 - 2017-02-23T18:00:00".parse().unwrap();
let b = NaiveDateTimeSpan::parse_from_str(
    "02/20/17 11.30 am - 02/23/17 06.00 pm",
    "{start} - {end}",
    "%D %I.%M %p", "%D %I.%M %p"
).unwrap();

let f = a.format("from {start} to {end}", "%R on %A", "%R on %A");
assert!(format!("{}", f) == "from 11:30 on Monday to 18:00 on Thursday");
assert!(a == b);

How to Run the Examples

In order to run an example from the example folder issue the following command.

$ cargo run --example <name>

The convert Example

Convert from 10.30 to 14.00 to 10:30 - 14:00:

$ cargo run --example convert -- "from 10.30 to 14.00" \
    "from {start} to {end}" "%H.%M" "%H.%M" \
    "{start} - {end}" "%R" "%R"

The duration Example

Get the duration of the time span from 10.30 to 14.00:

$ cargo run --example duration -- "from 10.30 to 14.00" \
    "from {start} to {end}" "%H.%M" "%H.%M"

The contains Example

Get whether 11.20 is contained in the time span from 10.30 to 14.00:

$ cargo run --example contains -- "from 10.30 to 14.00" "11.20" \
    "from {start} to {end}" "%H.%M" "%H.%M" "%H.%M"

License

This project is licensed under the GPL-v3 license - see the LICENSE file for details.

Dependencies

~3–4.5MB
~75K SLoC