fmtutil 0.4.1

The Utility Formatter Objects

Utility Package: Formatter

Table of Contents:

• Installation
• Formatter Objects
  • Datetime
  • Version
  • Serial
  • Naming
  • Storage
  • Constant
• FormatterGroup Object
• Usecase

This Formatter Utility Objects package was created for parse and format any string values that match a format pattern string with Python regular expression. This package be the co-pylot project for stating to my Python Software Developer role.

:dart: First objective of this project is include necessary formatter objects for any data components package which mean we can parse any complicate names on data source and ingest the right names to in-house or data target.

Installation

pip install fmtutil

For example, we want to get filename with the format like, filename_20220101.csv, on the file system storage, and we want to incremental ingest the latest file with date 2022-03-25 date. So we will implement Datetime object and parse that filename to it,

Datetime.parse('filename_20220101.csv', 'filename_%Y%m%d.csv').value == datetime.today()

The above example is :yawning_face: NOT SURPRISE!!! for us because Python already provide build-in package datetime to parse by {dt}.strptime and format by {dt}.strftime with any datetime string value. This package will the special thing when we group more than one formatter objects together as Naming, Version, and Datetime.

For complex filename format like:

{filename:%s}_{datetime:%Y_%m_%d}.{version:%m.%n.%c}.csv

From above filename format string, the datetime package does not enough for this scenario right? but you can handle by your hard-code object or create the better package than this project.

Note:
Any formatter object was implemented the self.valid method for help us validate format string value like the above the example scenario,

this_date = Datetime.parse('20220101', '%Y%m%d')
this_date.valid('any_files_20220101.csv', 'any_files_%Y%m%d.csv')  # True

Formatter Objects

• Datetime
• Version
• Serial
• Naming
• Storage
• Constant

The main purpose is Formatter Objects for parse and format with string value, such as Datetime, Version, and Serial formatter objects. These objects were used for parse any filename with put the format string value.

The formatter able to enhancement any format value from sting value, like in Datetime, for %B value that was designed for month shortname (Jan, Feb, etc.) that does not support in build-in datetime package.

Note:
The main usage of this formatter object is parse and format method.

Datetime

from fmtutil import Datetime

datetime = Datetime.parse(value='Datetime_20220101_000101', fmt='Datetime_%Y%m%d_%H%M%S')
datetime.format('New_datetime_%Y%b-%-d_%H:%M:%S')

>>> 'New_datetime_2022Jan-1_00:01:01'

Supported Datetime formats

Version

from fmtutil import Version

version = Version.parse(value='Version_2_0_1', fmt='Version_%m_%n_%c')
version.format('New_version_%m%n%c')

>>> 'New_version_201'

Supported Version formats

Serial

from fmtutil import Serial

serial = Serial.parse(value='Serial_62130', fmt='Serial_%n')
serial.format('Convert to binary: %b')

>>> 'Convert to binary: 1111001010110010'

Supported Serial formats

Naming

from fmtutil import Naming

naming = Naming.parse(value='de is data engineer', fmt='%a is %n')
naming.format('Camel case is %c')

>>> 'Camel case is dataEngineer'

Supported Naming formats

Storage

from fmtutil import Storage

storage = Storage.parse(value='This file have 250MB size', fmt='This file have %M size')
storage.format('The byte size is: %b')

>>> 'The byte size is: 2097152000'

Supported Storage formats

Constant

from fmtutil import Constant, make_const
from fmtutil.exceptions import FormatterError

const = make_const({'%n': 'normal', '%s': 'special'})
try:
    parse_const: Constant = const.parse(value='Constant_normal', fmt='Constant_%n')
    parse_const.format('The value of %%s is %s')
except FormatterError:
    pass

>>> 'The value of %s is special'

Note:
This package already implement the environment constant object, fmtutil.EnvConst.
Read more about this formats

FormatterGroup Object

The FormatterGroup object, FormatterGroup, which is the grouping of needed mapping formatter objects and its alias formatter object ref name together. You can define a name of formatter that you want, such as name for Naming, or timestamp for Datetime.

Parse:

from fmtutil import make_group, Naming, Datetime, FormatterGroupType

group: FormatterGroupType = make_group({'name': Naming, 'datetime': Datetime})
group.parse('data_engineer_in_20220101_de', fmt='{name:%s}_in_{timestamp:%Y%m%d}_{name:%a}')

>>> {
>>>     'name': Naming.parse('data engineer', '%n'),
>>>     'timestamp': Datetime.parse('2022-01-01 00:00:00.000000', '%Y-%m-%d %H:%M:%S.%f')
>>> }

Format:

from fmtutil import FormatterGroup
from datetime import datetime

group_01: FormatterGroup = group({'name': 'data engineer', 'datetime': datetime(2022, 1, 1)})
group_01.format('{name:%c}_{timestamp:%Y_%m_%d}')

>>> dataEngineer_2022_01_01

Usecase

If you have multi-format filenames on the data source directory, and you want to dynamic getting max datetime on these filenames to your app, you can use a formatter group.

from typing import List

from fmtutil import (
  make_group, Naming, Datetime, FormatterGroup, FormatterGroupType, FormatterArgumentError,
)

name: Naming = Naming.parse('Google Map', fmt='%t')

fmt_group: FormatterGroupType = make_group({"naming": name.to_const(), "timestamp": Datetime})

rs: List[FormatterGroup] = []
for file in (
    'googleMap_20230101.json',
    'googleMap_20230103.json',
    'googleMap_20230103_bk.json',
    'googleMap_with_usage_20230105.json',
    'googleDrive_with_usage_20230105.json',
):
    try:
        rs.append(
            fmt_group.parse(file, fmt=r'{naming:c}_{timestamp:%Y%m%d}\.json')
        )
    except FormatterArgumentError:
        continue

repr(max(rs).groups['timestamp'])

>>> <Datetime.parse('2023-01-03 00:00:00.000000', '%Y-%m-%d %H:%M:%S.%f')>

Note:
The above example will convert the name, Naming instance, to Constant instance before passing to the formatter group because it does not want to dynamic this naming format when find any filenames in target path.

License

This project was licensed under the terms of the MIT license.