Metadata-Version: 2.1
Name: durations-nlp
Version: 0.4.1
Summary: A python durations parsing library.
Home-page: https://github.com/timwedde/durations_nlp
License: MIT
Author: Tim Wedde
Author-email: timwedde@icloud.com
Requires-Python: >=3.5,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Project-URL: Repository, https://github.com/timwedde/durations_nlp
Description-Content-Type: text/markdown

# durations_nlp

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[![Downloads](https://pepy.tech/badge/durations-nlp)](https://pepy.tech/project/durations-nlp)

A python durations parsing library, providing a straight-forward API to parse duration string representations such as `1d`, `1 day 2 hours` or `2 days 3h 26m 52s` and convert them to numeric values.

## What and Why
It's easier and more straight forward to read a duration expressed in natural language (at least for a human), as an expression rather than an amount. When writing configuration files for example:

```yaml
interval: 3 hours
```

is easier to understand for a human than

```yaml
interval: 10800  # seconds
```

## Installation

`durations_nlp` can be installed via pip:
```bash
$ pip install durations_nlp
```

## Usage
To parse a duration string representation, just instantiate a Duration object and let it work for you. A Duration representation is composed of as many ``<value><scale>`` pairs as you need to express it:
* A value is an integer amount.
* A scale is a duration unit in it's short or long form (both singular and plural).
* Duration pairs can be separated with sep characters and expressions such as `,` or `and`

### Example Input

* `1d`
* `2 days`
* `2 days and 4 hours`
* `4M, 22d and 6hours`

### Scales Reference

* Century: `c`, `century`, `centuries`
* Decade: `D`, `decade`, `decades`
* Year: `y`, `year`, `Year`
* Month: `M`, `month`, `months`
* Week: `w`, `week`, `weeks`
* Day: `d`, `day`, `days`
* Hour: `h`, `hour`, `hours`
* Minute:`m`, `minute`, `minutes`
* Second: `s`, `second`, `seconds`
* Milisecond: `ms`, `milisecond`, `miliseconds`

### Usage Example

```python
from durations_nlp import Duration

one_hour = "1hour"

one_hour_duration = Duration(one_hour)
one_hour_duration.to_seconds()
# >>> 3600.0
one_hour_duration.to_minutes()
# >>> 60.0

# You can even compose durations in their short
# and long variations
two_days_three_hours = "2 days, 3h"
two_days_three_hours_duration = Duration(two_days_three_hours)
two_days_three_hours_duration.to_seconds()
# >>> 183600.0
two_days_three_hours_duration.to_hours()
# >>> 51.0
```

