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%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 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.0-1
- Package Spec generated
|
