Skip to main content

Hungarian Date Parser

A tool for extracting datetime intervals from Hungarian sentences and turning datetime objects into Hungarian text.

Stars Badge Issues Badge License Badge

Install and try the package with pip install hun-date-parser

Usage

from hun_date_parser import text2datetime, text2datetime_with_spans
from datetime import datetime

text2datetime('találkozzunk jövő kedd délután!', now=datetime(2020, 12, 27))
# [{'start_date' datetime.datetime(2020, 12, 29, 17, 59, 59)}]

text2datetime('találkozzunk jövő héten szombaton háromnegyed nyolc előtt két perccel', now=datetime(2020, 12, 27))
# [{'start_date' datetime.datetime(2021, 1, 2, 7, 43, 59)}]

text2datetime('találkozzunk jövő héten szombaton este háromnegyed nyolc előtt két perccel', now=datetime(2020, 12, 27))
# [{'start_date' datetime.datetime(2021, 1, 2, 19, 43, 59)}]

The date parser is also capable of parsing explicit intervals from the text even when only one side of the interval is specified.

from hun_date_parser import text2datetime
from datetime import datetime

text2datetime('2020 decemberétől 2021 januárig', now=datetime(2020, 12, 27))
# [{'start_date' datetime.datetime(2021, 1, 31, 23, 59, 59)}]

text2datetime('2021 januárig', now=datetime(2020, 12, 27))
# [{'start_date' datetime.datetime(2021, 1, 31, 23, 59, 59)}]

If not specified otherwise, relative dates (eg.: tomorrow, next week, etc.) are calculated relative to the current datetime, at the time when the function is called. The now parameter can be used for parsing relative datetimes relative to any timestamp other than the current time.

Span Information

The library also provides span-aware parsing functions that return the exact text positions of matched temporal expressions:

from hun_date_parser import text2datetime_with_spans
from datetime import datetime

text2datetime_with_spans('találkozzunk jövő kedd délután!', now=datetime(2020, 12, 27))
# [{'match_text' 30, 
#   'start_date': datetime.datetime(2020, 12, 29, 12, 0), 
#   'end_date': datetime.datetime(2020, 12, 29, 18, 59, 59)}]

text2datetime_with_spans('X január 5-én reggel', now=datetime(2020, 12, 18))
# [{'match_text' 20,
#   'start_date': datetime.datetime(2020, 1, 5, 6, 0), 
#   'end_date': datetime.datetime(2020, 1, 5, 10, 59, 59)}]

Supported formats

Our parser implements a rule-based strategy to interpret a diverse array of date and time formats, utilizing grammatical inflection to parse intervals.

The following formats are currently supported:

Date Formats:

  • ISO Standard Dates: dates formatted to the ISO 8601 standard.
    • Examples: 2020-01-15, 2020-12-30-án, 2020.12.29.
  • Named Months: months indicated by name, optionally with day numbers and/or year. Day numbers may be expressed lexically.
    • Examples: tavaly február, 2020 február 3, jövő március, jövő február 12-én, március elsején.
  • Relative Time References: relative days, weeks, months, or years.
    • Examples: tegnap, ma, holnap, idén, tavaly, múlt héten, a múlt hónapban, idei események.
  • Named Days of the Week: references to specific weekdays, accounting for past, present, and future contexts.
    • Examples: múlt vasárnap, kedden, ezen a heten hétfőn, jövő héten szerdán.
  • Counted Time Frames: expressions indicating a number of days or weeks ago or in the future.
    • Examples: 1 héttel ezelőtt, 6 nappal ezelőtt, 5 nap múlva.
  • Historical Periods: periods up to the present date, defined by days, weeks, months, or years.
    • Examples: az előző két hétben, az előző két évi adatok, az előző 10 nap eredménye.

Time Formats:

  • Digital Clock Format: time expressed in digital clock notation.
    • Examples45`.
  • Natural Language Time: time described in conversational terms.
    • Examples: este fél 8, reggel nyolc előtt hat perccel, nyolc óra nyolc perckor, 20 óra 49 perckor, este negyed 8 előtt 6 perccel.
  • Abbreviated Time Formats: certain abbreviated forms of time expression.
    • Examples: 16h-kor.

Interval Formats:

  • Inflection-Implied Ranges: intervals detected through grammatical inflections, indicating a start and end point.
    • Examples: február 13-tól 17-ig, keddtől péntekig, januártól februárig, 2020-10-12-től 2020-11-01-ig.
  • Open-Ended Intervals: expressions where the start or end of the interval is unspecified, using inflections to imply boundaries.
    • Examples: keddtől, február elsejéig.

Setting search scope in case of ambiguous input

For the function text2datetime, the parameter search_scope is used to specify the desired time interval for parsing inputs.

  • The default value, SearchScopes.NOT_RESTRICTED, does not restrict whether the scope of the search is in the past or the future.
    • For example, when Tuesday is parsed, the date for the Tuesday of the given week will be returned, without considering whether that date is in the past or the future.
  • To prefer future dates in case of ambiguity, use the value SearchScopes.FUTURE_DAY.
    • In this case, when Tuesday is parsed, the function will return the nearest Tuesday in the future, not necessarily the current week's Tuesday.
  • Similarly, to search in the past, nudging the library to prefer past dates is possible with the value SearchScopes.PAST_SEARCH.
    • For instance, if May is parsed by the function, with this setting, and if this year's May is still in the future, last year's May will be returned.
    • Please note that when there's no ambiguity, the function can still return future or past dates, even when a different preference is specified.

The flag realistic_year_required can be set in order to minimize false matches, it generally restricts year mentions to be between 1900 and 2100.

  • It defaults to true.
  • As the number 3000 is unlikely to be considered a year value in everyday contexts, it is ignored.
  • The output datetime can still be later than 2100 or earlier than 1900 with mentions of 'Counted Time Frames' (e.g., 100000 nap múlva).

An example:

from hun_date_parser import text2datetime
from datetime import datetime
from hun_date_parser.utils import SearchScopes

text2datetime('augusztus', now=datetime(2023, 6, 7), search_scope=SearchScopes.PAST_SEARCH)
# [{'start_date': datetime.datetime(2022, 8, 1, 0, 0),
#   'end_date': datetime.datetime(2022, 8, 31, 23, 59, 59)}]

text2datetime('péntek', now=datetime(2023, 6, 7), search_scope=SearchScopes.PAST_SEARCH)
# [{'start_date': datetime.datetime(2023, 6, 2, 0, 0),
#   'end_date': datetime.datetime(2023, 6, 2, 23, 59, 59)}]

text2datetime('péntek', now=datetime(2023, 6, 7), search_scope=SearchScopes.NOT_RESTRICTED)
# [{'start_date': datetime.datetime(2023, 6, 9, 0, 0),
#   'end_date': datetime.datetime(2023, 6, 9, 23, 59, 59)}]

Duration Parsing

The duration parser can extract the duration in minutes from various expressions found in sentences.

Recognized Formats

The parser is capable of understanding a variety of duration expressions. Here are the primary formats it recognizes:

  • Hour and Minute Combination:
    • Examples: 1 óra 45 perc, egy óra 30 perc, 2 óra 15 perc
  • Hour Only:
    • Examples: 1 óra, egy óra, 2 órát, 3,5 óra
  • Quarter Hour Phrases:
    • Examples: háromnegyed óra, egy és negyed óra, kettő és fél óra
  • Various day, week, month and year expressions:
    • Examples: 24 órás, 1 hetes, kéthetes, 10 napos, 30 napos, éves, 1 órára, 24 órára, 1 hétre, két hétre, 30 napra, évre

Basic Usage

from hun_date_parser import parse_duration

print(parse_duration('45 perc'))  # Output: 45
print(parse_duration('1 és negyed óra'))  # Output: 75
print(parse_duration('24 órás'))  # Output: 1440
print(parse_duration('1 hétre'))  # Output: 10080

Advanced Usage with Preferred Units

The duration parser also supports returning durations in their most natural unit rather than always converting to minutes:

from hun_date_parser import parse_duration

# Standard behavior (returns minutes)
print(parse_duration('2 évre'))  # Output: 1051200

# With preferred units
result = parse_duration('2 évre', return_preferred_unit=True)
print(result)
# Output: {
#   'value': 2,
#   'unit': 'year',
#   'preferred_unit': 'years',
#   'minutes': 1051200
# }

# More examples:
print(parse_duration('24 órás', return_preferred_unit=True))
# Output 1440}

print(parse_duration('30 napra', return_preferred_unit=True))
# Output 43200}

Frequency Parsing

The frequency parser can identify recurring time patterns from Hungarian text expressions and returns the match position information.

Recognized Formats

The parser recognizes standard frequency expressions in Hungarian:

  • Daily Frequencies:
    • Examples: napi, naponta, minden nap
  • Weekly Frequencies:
    • Examples: heti, hetente, minden héten, heti rendszerességgel
  • Fortnightly Frequencies:
    • Examples: kétheti, kéthetente
  • Monthly Frequencies:
    • Examples: havi, havonta, minden hónapban, havi rendszerességgel
  • Quarterly Frequencies:
    • Examples: negyedévente, minden negyedévben
  • Half-yearly Frequencies:
    • Examples: félévente, minden félévben
  • Yearly Frequencies:
    • Examples: évente, minden évben
from hun_date_parser import parse_frequency
from hun_date_parser.frequency_parser import Frequency

# The function returns a dictionary with frequency value and position information
result = parse_frequency('napi')
# result 4}

print(parse_frequency('hetente')['frequency'])  # Output: Frequency.WEEKLY
print(parse_frequency('kétheti')['frequency'])  # Output: Frequency.FORTNIGHTLY
print(parse_frequency('havonta')['frequency'])  # Output: Frequency.MONTHLY
print(parse_frequency('negyedévente')['frequency'])  # Output: Frequency.QUARTERLY
print(parse_frequency('félévente')['frequency'])  # Output: Frequency.EVERY_HALF_YEAR
print(parse_frequency('évente')['frequency'])  # Output: Frequency.YEARLY

# Since Frequency is a string-based enum, values can be used as strings
print(str(parse_frequency('naponta')['frequency']))  # Output: "DAILY"

# Example with text context and positions
result = parse_frequency('Találkozzunk hetente a parkban')
# result 19}

Current Limitations

  • The parser doesn't yet support complex frequencies like naponta kétszer (twice a day)
  • Specific weekday expressions like minden kedden (every Tuesday) aren't currently recognized
  • Expressions like minden második pénteken (every second Friday) or minden hónap első hétfőjén (first Monday of every month) aren't supported

Datetime to text

The library is also capable of turning datetime objects into their Hungarian text representation.

from hun_date_parser import datetime2text
from datetime import datetime

datetime2text(datetime(2020, 12, 20, 18, 34), now=datetime(2020, 12, 27), time_precision=2)
# {'dates': ['múlt héten vasárnap', '2020 december 20'],
#  'times'34', 'este hat óra harmincnégy perc', 'este fél 7 után 4 perccel']}

License

This project is licensed under MIT license. Feel free to use it in your own projects.

Contribute

Any help or feedback in further developing the library is welcome!

Metadata

Release files for hun-date-parser 0.3.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hun-date-parser 0.3.4
File Size Uploaded
hun_date_parser-0.3.4.tar.gz 56.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for hun-date-parser 0.3.4
File Interpreter ABI Platform
hun_date_parser-0.3.4-py3-none-any.whl Python 3 none any Details

Total release size: 118.8 kB

Release files / hun_date_parser-0.3.4.tar.gz

Download URL hun_date_parser-0.3.4.tar.gz
Size 56.8 kB
Tags Source
SHA-256 checksum
How to use checksums
40cfd2f3bb9120487e5ddd2bbec0486cf991b81fb238a445bf4cc222d3b5722d
BLAKE2b-256 checksum
How to use checksums
1c6118bedcb7954685d0e84360474032eed5466bc1ce08ff5ee4bb9331784888
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.6

Release files / hun_date_parser-0.3.4-py3-none-any.whl

Download URL hun_date_parser-0.3.4-py3-none-any.whl
Size 62.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d0a8fb5c29a160e9c591374e60fc9844d24e0822071690a873c060748d648c16
BLAKE2b-256 checksum
How to use checksums
a4b576c96a17f83fbfb90beda178de187614c649f10e2d901afc45dc3f6217d1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.6
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page