Skip to main content

bdew_datetimes

A collection of utils to work with datetimes and holidays in the German energy market and is based on the python-holiday package.

The implementation considers the publications of the BDEW (Bundesverband der Energie- und Wasserwirtschaft e. V.) and EDI@Energy, which provide boundaries and guidance for the data exchange on the german energy market.

Current highlights:

  • BDEW-holiday calendar
    • allows dict like evaluation of dates and datetimes and contains all holidays considered by the BDEW
  • Statutory Periods ("Gesetzliche Fristen")
    • calculate dates of the kind "x Werktage ab Stichtag"
    • calculate dates of the kind "nter Werktag des Fristen- bzw. Liefermonats"
  • Gas-Day / Market Day evaluation

Future Scope:

  • providing subdivision holiday calendars to allow granular load profiles

Quick Start and Examples

Install the package from pypi:

pip install bdew_datetimes

Check if a date is a specific BDEW Holidays

The HolidaySum returned by create_bdew_calendar contains the BDEW specific holidays. This includes Heiligabend and Silvester as well as special days without Marktkommunikation but not the local or nationwide holidays in Germany and its states.

from datetime import date
from bdew_datetimes import create_bdew_calendar

bdew_holidays = create_bdew_calendar()  # this behaves like a dict

assert date(2022, 12, 31) in bdew_holidays # Silvester is a BDEW holiday
assert date(2022, 8, 8) in bdew_holidays is False # Augsburger Friedensfest is _not_ a BDEW holiday (but a holiday in Augsburg only)
assert date(2022, 12, 2) in bdew_holidays is False # The 12th of February is not a BDEW holiday

print(bdew_holidays.get('2022-01-01'))  # prints "Neujahr"

Check if a given Date is a BDEW Working Day

BDEW working days are those days taken into account for the "Fristenberechnung". The function is_bdew_working_day considers both national and state wide holidays as well as BDEW holidays:

from datetime import date

from bdew_datetimes.periods import is_bdew_working_day

assert is_bdew_working_day(date(2023, 1, 1)) is False  # Neujahr (national holiday)
assert is_bdew_working_day(date(2023, 1, 2)) is True  # regular weekday
assert is_bdew_working_day(date(2023, 1, 6)) is False  # Heilige Drei Könige (local holiday in parts of Germany)
assert is_bdew_working_day(date(2023, 4, 7)) is False  # Karfreitag (national holiday, but based on an astronomical calendar)
assert is_bdew_working_day(date(2023, 12, 24)) is False  # Heiligabend (BDEW holiday)

You can also get the next or previous working day for any date:

from datetime import date

from bdew_datetimes.periods import get_next_working_day, get_previous_working_day

assert get_next_working_day(date(2023, 1, 1)) == date(2023, 1, 2)  # the next working day after Neujahr
assert get_previous_working_day(date(2023, 1, 1)) == date(2022, 12, 30)  # the last working day of 2022
assert get_next_working_day(date(2023, 1, 20)) == date(2023, 1, 23)  # the next working day after a friday is the next monday

Calculate Statutory Periods

Statutory periods define the maximum time between e.g. the EDIFACT message for the "Anmeldung" and the actual start of supply ("Lieferbeginn").

from datetime import date

from bdew_datetimes.periods import DayType, EndDateType, Period, add_frist

# Eingang der Anmeldung des LFN erfolgt am 04.07.2016. Der Mindestzeitraum von zehn WT
# beginnt am 05.07.2016 und endet am 18.07.2016. Frühestes zulässiges Anmeldedatum
# ist damit der 19.07.2016, sodass die Marktlokation dem LFN frühestens zum Beginn
# des vorgenannten Tages zugeordnet wird.
eingang_der_anmeldung = date(2016, 7, 4)
gesetzliche_frist = Period(
    10,
    DayType.WORKING_DAY,
    end_date_type=EndDateType.EXCLUSIVE
    # lieferbeginn is the exclusive end of the previous supply contract
)
fruehest_moeglicher_lieferbeginn = add_frist(eingang_der_anmeldung, gesetzliche_frist)
assert fruehest_moeglicher_lieferbeginn == date(2016, 7, 19)

Calculate "Liefer- and Fristenmonate"

Liefer- and Fristenmonat are concepts used in MaBiS and GPKE:

from datetime import date

from bdew_datetimes.periods import get_nth_working_day_of_month, MonthType

# returns the 18th working day of the current month in Germany
get_nth_working_day_of_month(18)

# the 18th working day of November 2023
assert get_nth_working_day_of_month(18, start=date(2023, 11, 1)) == date(2023, 11, 28)

# the 42th working day of Fristenmonat July 2023
assert get_nth_working_day_of_month(42, month_type=MonthType.FRISTENMONAT, start=date(2023, 7, 1)) == date(2023, 9, 29)

Notes

The BDEW considers all days as holidays, which are nationwide holidays and days, which are a holiday in at least one state. Furthermore, the 24. and the 31. December are holidays as well. Therefore, this package utilizes a composition of all available german holiday calendars amd adds the two additional days.

Shifting holidays to the next weekday if they fall on a weekend is currently not considered.

License

This library is licensed under the MIT license, see the LICENSE file.

Metadata

Release files for bdew_datetimes 0.3.2

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

Source distribution (sdist)

Source distribution for bdew_datetimes 0.3.2
File Size Uploaded Provenance
bdew_datetimes-0.3.2.tar.gz 18.0 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for bdew_datetimes 0.3.2
File Interpreter ABI Platform
bdew_datetimes-0.3.2-py3-none-any.whl Python 3 none any Details

Total release size: 28.3 kB

Release files / bdew_datetimes-0.3.2.tar.gz

Download URL bdew_datetimes-0.3.2.tar.gz
Size 18.0 kB
Tags Source
SHA-256 checksum
How to use checksums
5eb44c2bd106b2e1dcb5801ce7578755c71964933aa9dc790453b796de18576a
BLAKE2b-256 checksum
How to use checksums
6da52b7ea21cc66fe3871b4ccd10c3464a4df5d7e2c9a57a7d7678c41020ca2f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.11.1

Release files / bdew_datetimes-0.3.2-py3-none-any.whl

Download URL bdew_datetimes-0.3.2-py3-none-any.whl
Size 10.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0b61d48b6fe6c187f54aac91438714d1b9dd1cc05956d8e14253cf811b122d39
BLAKE2b-256 checksum
How to use checksums
5202574ee4e7b0099a288805deb07dd18172dad9cc39d67f919e748c13eac1d7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.11.1

Security for bdew_datetimes 0.3.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

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