Skip to main content

Time Processing Tool

Project description

Project: aiotense
License: Apache 2.0
About: Time Processing Tool
OS: Independent
Python: 3.9+
Typing: Typed
Topic: Utilities


Documentation · Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Examples
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

PyPi Mypy badge Black Supported python versions

Welcome

Have you ever needed to convert, for example, the string "1d1minute 2 sec" to the number of seconds or a datetime.timedelta object?

No? Then advise us to your friends :) And if you really need our tool - let's move on!

Getting started

With PyPi

$ pip3 install aiotense

With Poetry

$ poetry add aiotense

Usage

Built-in basic

import asyncio
import datetime
from aiotense import TenseParser

time_string = "1d2minutes 5 sec"

# <-- Digit parser -->
digit_parser = TenseParser(TenseParser.DIGIT)
digit_value = asyncio.run(digit_parser.parse(time_string))
# <-- Assertions -->
assert digit_value == 86525

# <-- Timedelta parser -->
delta_parser = TenseParser(TenseParser.TIMEDELTA)
delta_value = asyncio.run(delta_parser.parse(time_string))
# <-- Assertions -->
assert isinstance(delta_value, datetime.timedelta)
assert str(delta_value) == "1 day, 0:02:05"

Reconfiguring existing settings

import asyncio
from aiotense import TenseParser, from_tense_file_source

config_emulation = """
[model.Tense]
multiplier = 2  # each unit of time will be multiplied by 2
# !!! Note: If the multiplier is <= 0, then the parsers will 
# not work correctly. In this case, a warning will be sent to the console.

[units.Minute]
duration = 120  # Why not?...
aliases = my_minute, my_minutes, my_min, my_mins
"""
parser = TenseParser(
    TenseParser.TIMEDELTA,
    config=from_tense_file_source(config_emulation),
)
delta_value = asyncio.run(parser.parse("1 my_min 10my_mins 9  my_minutes"))
# <-- Assertions -->
assert str(delta_value) ==  "1:20:00" # (each 120 * 2)

Adding new settings

import asyncio
from aiotense import TenseParser, from_tense_file_source

config_emulation = """
[model.Tense]  # This header is required.

[virtual]
duration = exp(year * 10)
aliases = decade, dec, decs, decades
"""

parser = TenseParser(
    TenseParser.TIMEDELTA,
    config=from_tense_file_source(config_emulation),
)
delta_value = asyncio.run(parser.parse("1year 10 decades5   seconds"))
# <-- Assertions -->
assert str(delta_value) == "36865 days, 0:00:05"

FAQ

But what if you need to parse a string like: "1day and 10 minutes + 5 seconds"? Let's see:

>>> import asyncio
>>> from aiotense import TenseParser

>>> complex_string = "1day and 10 minutes + 5 seconds"

>>> parser = TenseParser(TenseParser.TIMEDELTA)
>>> asyncio.run(parser.parse(complex_string))
'0:00:05'

Wait... What? 5 second? But there are days and minutes...

  • It's okay, you're using flexible aiotense! This problem is solved in two ways:
    1. You write your own time_resolver and pass it
    2. Choose an existing one from aiotense.resolvers

Let's demonstrate! I will use the second option, since the built-in time resolvers in aiotense are suitable for me.

>>> import asyncio
>>> from aiotense import TenseParser, resolvers

>>> complex_string = "1day and 10 minutes + 5 seconds"

>>> parser = TenseParser(TenseParser.TIMEDELTA, time_resolver=resolvers.smart_resolver)
>>> asyncio.run(parser.parse(complex_string)) 
'1 day, 0:10:05'

Well, that's better!

aiotense.application.resolvers.smart_resolver() is also case insensitive!

>>> import asyncio
>>> from aiotense import TenseParser, resolvers

>>> complex_string = "1DAY and 10 MINUTES + 5 SECONDS"

>>> parser = TenseParser(TenseParser.TIMEDELTA, time_resolver=resolvers.smart_resolver)
>>> asyncio.run(parser.parse(complex_string)) 
'1 day, 0:10:05'

Examples.

If you think that this is where the possibilities of aiotense ends, then you are wrong! The possibilities of aiotense are too many for a README, so I suggest you move on to viewing the usage examples here:


Aiotense Examples

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the Apache 2.0 License. See LICENSE for more information.

Contact

Acknowledgments

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiotense-0.0.3a0.tar.gz (1.2 MB view hashes)

Uploaded Source

Built Distribution

aiotense-0.0.3a0-py3-none-any.whl (38.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page