%global _empty_manifest_terminate_build 0 Name: python-business-python Version: 2.0.3 Release: 1 Summary: Date calculations based on business calendars. License: MIT License URL: https://github.com/gocardless/business-python Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c1/69/d317fd75249e67a36bb6c96f4c7d90bb120bb7834e7378d12d76aac1ce9f/business-python-2.0.3.tar.gz BuildArch: noarch Requires: python3-importlib_metadata Requires: python3-dateutil Requires: python3-pyyaml %description # Business (Python) [![circleci-badge](https://circleci.com/gh/gocardless/business-python.svg?style=shield)](https://app.circleci.com/pipelines/github/gocardless/business-python) [![pypi-badge](https://badge.fury.io/py/business-python.svg)](https://badge.fury.io/py/business-python) Date calculations based on business calendars. (Python 3.6+) Python implementation of https://github.com/gocardless/business ## Documentation To get business, simply: ```bash $ pip install business-python ``` ## Version 2.0.0 breaking changes In version 2.0.0 we have removed the bundled calendars. If you still need these they are available on [v1.0.1](https://github.com/gocardless/business-python/tree/74fe7e4068e0f16b68e7478f8b5ca1cc52f9a7d0/business/data). ### Migration - Download/create calendars to a directory within your project eg: `lib/calendars` - Change your code to include the `load_path` for your calendars - Continue using `.load("my_calendar")` as usual ```python # lib/calendars contains yml files Calendar.load_paths = ['lib/calendars'] calendar = Calendar.load("my_calendar") ``` ### Getting started Get started with business by creating an instance of the calendar class, passing in a hash that specifies which days of the week are considered working days, and which days are holidays. ```python from business.calendar import Calendar calendar = Calendar( working_days=["monday", "tuesday", "wednesday", "thursday", "friday"], # array items are either parseable date strings, or real datetime.date objects holidays=["January 1st, 2020", "April 10th, 2020"], extra_working_dates=[], ) ``` `extra_working_dates` key makes the calendar to consider a weekend day as a working day. If `working_days` is missing, then common default is used (mon-fri). If `holidays` is missing, "no holidays" assumed. If `extra_working_dates` is missing, then no changes in `working_days` will happen. Elements of `holidays` and `extra_working_dates` may be either strings that `Calendar.parse_date()` can understand, or YYYY-MM-DD (which is considered as a Date by Python YAML itself). #### Calendar YAML file example ```yaml # lib/calendars/my_calendar.yml working_days: - Monday - Sunday holidays: - 2017-01-08 # Same as January 8th, 2017 extra_working_dates: - 2020-12-26 # Will consider 26 Dec 2020 (A Saturday), a working day ``` The `load_cache` method allows a thread safe way to avoid reloading the same calendar multiple times, and provides a performant way to dynamically load calendars for different requests. #### Using business-python Define your calendars in a folder eg: `lib/calendars` and set this directory on `Calendar.load_paths=` ```python Calendar.load_paths = ['lib/calendars'] calendar = Calendar.load_cache("my_calendar") ``` ### Input data types The `parse_date` method is used to process the input date(s) in each method and return a `datetime.date` object. ```python Calendar.parse_date("2019-01-01") # => datetime.date(2019, 1, 1) ``` Supported data types are: - `datetime.date` - `datetime.datetime` - `pandas.Timestamp` (treated as `datetime.datetime`) - date string parseable by [`dateutil.parser.parse`](https://dateutil.readthedocs.io/en/stable/parser.html#dateutil.parser.parse) `numpy.datetime64` is not supported, but can be converted to `datetime.date`: ```python numpy.datetime64('2014-06-01T23:00:05.453000000').astype('M8[D]').astype('O') # => datetime.date(2014, 6, 1) ``` ### Checking for business days To check whether a given date is a business day (falls on one of the specified working days or extra working dates, and is not a holiday), use the `is_business_day` method on `Calendar`. ```python calendar.is_business_day("Monday, 8 June 2020") # => true calendar.is_business_day("Sunday, 7 June 2020") # => false ``` ### Business day arithmetic > For our purposes, date-based calculations are sufficient. Supporting time-based calculations as well makes the code significantly more complex. We chose to avoid this extra complexity by sticking solely to date-based mathematics. The `add_business_days` method is used to perform business day arithmetic on dates. ```python input_date = Calendar.parse_date("Thursday, 12 June 2014") calendar.add_business_days(input_date, 4).strftime("%A, %d %B %Y") # => "Wednesday, 18 June 2014" calendar.add_business_days(input_date, -4).strftime("%A, %d %B %Y") # => "Friday, 06 June 2014" ``` The `roll_forward` and `roll_backward` methods snap a date to a nearby business day. If provided with a business day, they will return that date. Otherwise, they will advance (forward for `roll_forward` and backward for `roll_backward`) until a business day is found. ```python input_date = Calendar.parse_date("Saturday, 14 June 2014") calendar.roll_forward(input_date).strftime("%A, %d %B %Y") # => "Monday, 16 June 2014" calendar.roll_backward(input_date).strftime("%A, %d %B %Y") # => "Friday, 13 June 2014" ``` In contrast, the `next_business_day` and `previous_business_day` methods will always move to a next or previous date until a business day is found, regardless if the input provided is a business day. ```python input_date = Calendar.parse_date("Monday, 9 June 2014") calendar.roll_forward(input_date).strftime("%A, %d %B %Y") # => "Monday, 09 June 2014" calendar.next_business_day(input_date).strftime("%A, %d %B %Y") # => "Tuesday, 10 June 2014" calendar.previous_business_day(input_date).strftime("%A, %d %B %Y") # => "Friday, 06 June 2014" ``` To count the number of business days between two dates, pass the dates to `business_days_between`. This method counts from start of the first date to start of the second date. So, assuming no holidays, there would be two business days between a Monday and a Wednesday. ```python from datetime import timedelta input_date = Calendar.parse_date("Saturday, 14 June 2014") calendar.business_days_between(input_date, input_date + timedelta(days=7)) # => 5 ``` The `get_business_day_of_month` method return the running total of business days for a given date in that month. This method counts the number of business days from the start of the first day of the month to the given input date. ```python input_date = Calendar.parse_date("Thursday, 12 June 2014") calendar.get_business_day_of_month(input_date) # => 9 ``` ## License & Contributing - This is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT). - Bug reports and pull requests are welcome on GitHub at https://github.com/gocardless/business-python. GoCardless ♥ open source. If you do too, come [join us](https://gocardless.com/about/jobs). %package -n python3-business-python Summary: Date calculations based on business calendars. Provides: python-business-python BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-business-python # Business (Python) [![circleci-badge](https://circleci.com/gh/gocardless/business-python.svg?style=shield)](https://app.circleci.com/pipelines/github/gocardless/business-python) [![pypi-badge](https://badge.fury.io/py/business-python.svg)](https://badge.fury.io/py/business-python) Date calculations based on business calendars. (Python 3.6+) Python implementation of https://github.com/gocardless/business ## Documentation To get business, simply: ```bash $ pip install business-python ``` ## Version 2.0.0 breaking changes In version 2.0.0 we have removed the bundled calendars. If you still need these they are available on [v1.0.1](https://github.com/gocardless/business-python/tree/74fe7e4068e0f16b68e7478f8b5ca1cc52f9a7d0/business/data). ### Migration - Download/create calendars to a directory within your project eg: `lib/calendars` - Change your code to include the `load_path` for your calendars - Continue using `.load("my_calendar")` as usual ```python # lib/calendars contains yml files Calendar.load_paths = ['lib/calendars'] calendar = Calendar.load("my_calendar") ``` ### Getting started Get started with business by creating an instance of the calendar class, passing in a hash that specifies which days of the week are considered working days, and which days are holidays. ```python from business.calendar import Calendar calendar = Calendar( working_days=["monday", "tuesday", "wednesday", "thursday", "friday"], # array items are either parseable date strings, or real datetime.date objects holidays=["January 1st, 2020", "April 10th, 2020"], extra_working_dates=[], ) ``` `extra_working_dates` key makes the calendar to consider a weekend day as a working day. If `working_days` is missing, then common default is used (mon-fri). If `holidays` is missing, "no holidays" assumed. If `extra_working_dates` is missing, then no changes in `working_days` will happen. Elements of `holidays` and `extra_working_dates` may be either strings that `Calendar.parse_date()` can understand, or YYYY-MM-DD (which is considered as a Date by Python YAML itself). #### Calendar YAML file example ```yaml # lib/calendars/my_calendar.yml working_days: - Monday - Sunday holidays: - 2017-01-08 # Same as January 8th, 2017 extra_working_dates: - 2020-12-26 # Will consider 26 Dec 2020 (A Saturday), a working day ``` The `load_cache` method allows a thread safe way to avoid reloading the same calendar multiple times, and provides a performant way to dynamically load calendars for different requests. #### Using business-python Define your calendars in a folder eg: `lib/calendars` and set this directory on `Calendar.load_paths=` ```python Calendar.load_paths = ['lib/calendars'] calendar = Calendar.load_cache("my_calendar") ``` ### Input data types The `parse_date` method is used to process the input date(s) in each method and return a `datetime.date` object. ```python Calendar.parse_date("2019-01-01") # => datetime.date(2019, 1, 1) ``` Supported data types are: - `datetime.date` - `datetime.datetime` - `pandas.Timestamp` (treated as `datetime.datetime`) - date string parseable by [`dateutil.parser.parse`](https://dateutil.readthedocs.io/en/stable/parser.html#dateutil.parser.parse) `numpy.datetime64` is not supported, but can be converted to `datetime.date`: ```python numpy.datetime64('2014-06-01T23:00:05.453000000').astype('M8[D]').astype('O') # => datetime.date(2014, 6, 1) ``` ### Checking for business days To check whether a given date is a business day (falls on one of the specified working days or extra working dates, and is not a holiday), use the `is_business_day` method on `Calendar`. ```python calendar.is_business_day("Monday, 8 June 2020") # => true calendar.is_business_day("Sunday, 7 June 2020") # => false ``` ### Business day arithmetic > For our purposes, date-based calculations are sufficient. Supporting time-based calculations as well makes the code significantly more complex. We chose to avoid this extra complexity by sticking solely to date-based mathematics. The `add_business_days` method is used to perform business day arithmetic on dates. ```python input_date = Calendar.parse_date("Thursday, 12 June 2014") calendar.add_business_days(input_date, 4).strftime("%A, %d %B %Y") # => "Wednesday, 18 June 2014" calendar.add_business_days(input_date, -4).strftime("%A, %d %B %Y") # => "Friday, 06 June 2014" ``` The `roll_forward` and `roll_backward` methods snap a date to a nearby business day. If provided with a business day, they will return that date. Otherwise, they will advance (forward for `roll_forward` and backward for `roll_backward`) until a business day is found. ```python input_date = Calendar.parse_date("Saturday, 14 June 2014") calendar.roll_forward(input_date).strftime("%A, %d %B %Y") # => "Monday, 16 June 2014" calendar.roll_backward(input_date).strftime("%A, %d %B %Y") # => "Friday, 13 June 2014" ``` In contrast, the `next_business_day` and `previous_business_day` methods will always move to a next or previous date until a business day is found, regardless if the input provided is a business day. ```python input_date = Calendar.parse_date("Monday, 9 June 2014") calendar.roll_forward(input_date).strftime("%A, %d %B %Y") # => "Monday, 09 June 2014" calendar.next_business_day(input_date).strftime("%A, %d %B %Y") # => "Tuesday, 10 June 2014" calendar.previous_business_day(input_date).strftime("%A, %d %B %Y") # => "Friday, 06 June 2014" ``` To count the number of business days between two dates, pass the dates to `business_days_between`. This method counts from start of the first date to start of the second date. So, assuming no holidays, there would be two business days between a Monday and a Wednesday. ```python from datetime import timedelta input_date = Calendar.parse_date("Saturday, 14 June 2014") calendar.business_days_between(input_date, input_date + timedelta(days=7)) # => 5 ``` The `get_business_day_of_month` method return the running total of business days for a given date in that month. This method counts the number of business days from the start of the first day of the month to the given input date. ```python input_date = Calendar.parse_date("Thursday, 12 June 2014") calendar.get_business_day_of_month(input_date) # => 9 ``` ## License & Contributing - This is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT). - Bug reports and pull requests are welcome on GitHub at https://github.com/gocardless/business-python. GoCardless ♥ open source. If you do too, come [join us](https://gocardless.com/about/jobs). %package help Summary: Development documents and examples for business-python Provides: python3-business-python-doc %description help # Business (Python) [![circleci-badge](https://circleci.com/gh/gocardless/business-python.svg?style=shield)](https://app.circleci.com/pipelines/github/gocardless/business-python) [![pypi-badge](https://badge.fury.io/py/business-python.svg)](https://badge.fury.io/py/business-python) Date calculations based on business calendars. (Python 3.6+) Python implementation of https://github.com/gocardless/business ## Documentation To get business, simply: ```bash $ pip install business-python ``` ## Version 2.0.0 breaking changes In version 2.0.0 we have removed the bundled calendars. If you still need these they are available on [v1.0.1](https://github.com/gocardless/business-python/tree/74fe7e4068e0f16b68e7478f8b5ca1cc52f9a7d0/business/data). ### Migration - Download/create calendars to a directory within your project eg: `lib/calendars` - Change your code to include the `load_path` for your calendars - Continue using `.load("my_calendar")` as usual ```python # lib/calendars contains yml files Calendar.load_paths = ['lib/calendars'] calendar = Calendar.load("my_calendar") ``` ### Getting started Get started with business by creating an instance of the calendar class, passing in a hash that specifies which days of the week are considered working days, and which days are holidays. ```python from business.calendar import Calendar calendar = Calendar( working_days=["monday", "tuesday", "wednesday", "thursday", "friday"], # array items are either parseable date strings, or real datetime.date objects holidays=["January 1st, 2020", "April 10th, 2020"], extra_working_dates=[], ) ``` `extra_working_dates` key makes the calendar to consider a weekend day as a working day. If `working_days` is missing, then common default is used (mon-fri). If `holidays` is missing, "no holidays" assumed. If `extra_working_dates` is missing, then no changes in `working_days` will happen. Elements of `holidays` and `extra_working_dates` may be either strings that `Calendar.parse_date()` can understand, or YYYY-MM-DD (which is considered as a Date by Python YAML itself). #### Calendar YAML file example ```yaml # lib/calendars/my_calendar.yml working_days: - Monday - Sunday holidays: - 2017-01-08 # Same as January 8th, 2017 extra_working_dates: - 2020-12-26 # Will consider 26 Dec 2020 (A Saturday), a working day ``` The `load_cache` method allows a thread safe way to avoid reloading the same calendar multiple times, and provides a performant way to dynamically load calendars for different requests. #### Using business-python Define your calendars in a folder eg: `lib/calendars` and set this directory on `Calendar.load_paths=` ```python Calendar.load_paths = ['lib/calendars'] calendar = Calendar.load_cache("my_calendar") ``` ### Input data types The `parse_date` method is used to process the input date(s) in each method and return a `datetime.date` object. ```python Calendar.parse_date("2019-01-01") # => datetime.date(2019, 1, 1) ``` Supported data types are: - `datetime.date` - `datetime.datetime` - `pandas.Timestamp` (treated as `datetime.datetime`) - date string parseable by [`dateutil.parser.parse`](https://dateutil.readthedocs.io/en/stable/parser.html#dateutil.parser.parse) `numpy.datetime64` is not supported, but can be converted to `datetime.date`: ```python numpy.datetime64('2014-06-01T23:00:05.453000000').astype('M8[D]').astype('O') # => datetime.date(2014, 6, 1) ``` ### Checking for business days To check whether a given date is a business day (falls on one of the specified working days or extra working dates, and is not a holiday), use the `is_business_day` method on `Calendar`. ```python calendar.is_business_day("Monday, 8 June 2020") # => true calendar.is_business_day("Sunday, 7 June 2020") # => false ``` ### Business day arithmetic > For our purposes, date-based calculations are sufficient. Supporting time-based calculations as well makes the code significantly more complex. We chose to avoid this extra complexity by sticking solely to date-based mathematics. The `add_business_days` method is used to perform business day arithmetic on dates. ```python input_date = Calendar.parse_date("Thursday, 12 June 2014") calendar.add_business_days(input_date, 4).strftime("%A, %d %B %Y") # => "Wednesday, 18 June 2014" calendar.add_business_days(input_date, -4).strftime("%A, %d %B %Y") # => "Friday, 06 June 2014" ``` The `roll_forward` and `roll_backward` methods snap a date to a nearby business day. If provided with a business day, they will return that date. Otherwise, they will advance (forward for `roll_forward` and backward for `roll_backward`) until a business day is found. ```python input_date = Calendar.parse_date("Saturday, 14 June 2014") calendar.roll_forward(input_date).strftime("%A, %d %B %Y") # => "Monday, 16 June 2014" calendar.roll_backward(input_date).strftime("%A, %d %B %Y") # => "Friday, 13 June 2014" ``` In contrast, the `next_business_day` and `previous_business_day` methods will always move to a next or previous date until a business day is found, regardless if the input provided is a business day. ```python input_date = Calendar.parse_date("Monday, 9 June 2014") calendar.roll_forward(input_date).strftime("%A, %d %B %Y") # => "Monday, 09 June 2014" calendar.next_business_day(input_date).strftime("%A, %d %B %Y") # => "Tuesday, 10 June 2014" calendar.previous_business_day(input_date).strftime("%A, %d %B %Y") # => "Friday, 06 June 2014" ``` To count the number of business days between two dates, pass the dates to `business_days_between`. This method counts from start of the first date to start of the second date. So, assuming no holidays, there would be two business days between a Monday and a Wednesday. ```python from datetime import timedelta input_date = Calendar.parse_date("Saturday, 14 June 2014") calendar.business_days_between(input_date, input_date + timedelta(days=7)) # => 5 ``` The `get_business_day_of_month` method return the running total of business days for a given date in that month. This method counts the number of business days from the start of the first day of the month to the given input date. ```python input_date = Calendar.parse_date("Thursday, 12 June 2014") calendar.get_business_day_of_month(input_date) # => 9 ``` ## License & Contributing - This is available as open source under the terms of the [MIT License](http://opensource.org/licenses/MIT). - Bug reports and pull requests are welcome on GitHub at https://github.com/gocardless/business-python. GoCardless ♥ open source. If you do too, come [join us](https://gocardless.com/about/jobs). %prep %autosetup -n business-python-2.0.3 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-business-python -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 2.0.3-1 - Package Spec generated