%global _empty_manifest_terminate_build 0 Name: python-pyvaru Version: 0.3.0 Release: 1 Summary: Rule based data validation library for python. License: MIT URL: https://github.com/daveoncode/pyvaru Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bc/73/08101145042d74f1e441a294345888012ef0ad3198901a192bc4f1418d58/pyvaru-0.3.0.tar.gz BuildArch: noarch %description Pyvaru is a simple, flexible and unobtrusive data validation library for Python 3 (3.4+), based on the concept of validation rules. From the software design point of view, a rule is a class implementing the strategy pattern, by encapsulating the validation logic in an interface method called ``apply()``. The library already offers a series of common validation rules like: - ``TypeRule`` (it checks that the target value is an instance of the expected type) - ``FullStringRule`` (it checks the the target value is a string with content) - ``ChoiceRule`` (it checks that the target value is contained in a list of available options) - ``MinValueRule`` (it checks that the target value is >= x) * - ``MaxValueRule`` (it checks that the target value is <= x) * - ``MinLengthRule`` (it checks that the target value length is >= x) * - ``MaxLengthRule`` (it checks that the target value length is <= x) * - ``RangeRule`` (it checks that the target value is contained in a given ``range``) - ``IntervalRule`` (it checks that the target value is contained in a given interval) - ``PatternRule`` (it checks that the target value matches a given regular expression) - ``PastDateRule`` (it checks that the target value is a date in the past) - ``FutureDateRule`` (it checks that the target value is a date in the future) - ``UniqueItemsRule`` (it checks that the target iterable does not contain duplicated items) \* where "x" is a provided reference value The developer is then free to create his custom rules by extending the abstract ``ValidationRule`` and implementing the logic in the ``apply()`` method. For example: class ContainsHelloRule(ValidationRule): def apply(self) -> bool: return 'hello' in self.apply_to These rules are then executed by a ``Validator``, which basically executes them in the provided order and eventually returns a ``ValidationResult`` containing the validation response. %package -n python3-pyvaru Summary: Rule based data validation library for python. Provides: python-pyvaru BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pyvaru Pyvaru is a simple, flexible and unobtrusive data validation library for Python 3 (3.4+), based on the concept of validation rules. From the software design point of view, a rule is a class implementing the strategy pattern, by encapsulating the validation logic in an interface method called ``apply()``. The library already offers a series of common validation rules like: - ``TypeRule`` (it checks that the target value is an instance of the expected type) - ``FullStringRule`` (it checks the the target value is a string with content) - ``ChoiceRule`` (it checks that the target value is contained in a list of available options) - ``MinValueRule`` (it checks that the target value is >= x) * - ``MaxValueRule`` (it checks that the target value is <= x) * - ``MinLengthRule`` (it checks that the target value length is >= x) * - ``MaxLengthRule`` (it checks that the target value length is <= x) * - ``RangeRule`` (it checks that the target value is contained in a given ``range``) - ``IntervalRule`` (it checks that the target value is contained in a given interval) - ``PatternRule`` (it checks that the target value matches a given regular expression) - ``PastDateRule`` (it checks that the target value is a date in the past) - ``FutureDateRule`` (it checks that the target value is a date in the future) - ``UniqueItemsRule`` (it checks that the target iterable does not contain duplicated items) \* where "x" is a provided reference value The developer is then free to create his custom rules by extending the abstract ``ValidationRule`` and implementing the logic in the ``apply()`` method. For example: class ContainsHelloRule(ValidationRule): def apply(self) -> bool: return 'hello' in self.apply_to These rules are then executed by a ``Validator``, which basically executes them in the provided order and eventually returns a ``ValidationResult`` containing the validation response. %package help Summary: Development documents and examples for pyvaru Provides: python3-pyvaru-doc %description help Pyvaru is a simple, flexible and unobtrusive data validation library for Python 3 (3.4+), based on the concept of validation rules. From the software design point of view, a rule is a class implementing the strategy pattern, by encapsulating the validation logic in an interface method called ``apply()``. The library already offers a series of common validation rules like: - ``TypeRule`` (it checks that the target value is an instance of the expected type) - ``FullStringRule`` (it checks the the target value is a string with content) - ``ChoiceRule`` (it checks that the target value is contained in a list of available options) - ``MinValueRule`` (it checks that the target value is >= x) * - ``MaxValueRule`` (it checks that the target value is <= x) * - ``MinLengthRule`` (it checks that the target value length is >= x) * - ``MaxLengthRule`` (it checks that the target value length is <= x) * - ``RangeRule`` (it checks that the target value is contained in a given ``range``) - ``IntervalRule`` (it checks that the target value is contained in a given interval) - ``PatternRule`` (it checks that the target value matches a given regular expression) - ``PastDateRule`` (it checks that the target value is a date in the past) - ``FutureDateRule`` (it checks that the target value is a date in the future) - ``UniqueItemsRule`` (it checks that the target iterable does not contain duplicated items) \* where "x" is a provided reference value The developer is then free to create his custom rules by extending the abstract ``ValidationRule`` and implementing the logic in the ``apply()`` method. For example: class ContainsHelloRule(ValidationRule): def apply(self) -> bool: return 'hello' in self.apply_to These rules are then executed by a ``Validator``, which basically executes them in the provided order and eventually returns a ``ValidationResult`` containing the validation response. %prep %autosetup -n pyvaru-0.3.0 %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-pyvaru -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 0.3.0-1 - Package Spec generated