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|
%global _empty_manifest_terminate_build 0
Name: python-dataclass-dict-convert
Version: 1.7.1
Release: 1
Summary: Convert between Dataclasses and dict/json
License: MIT
URL: https://gitlab.ilabt.imec.be/wvdemeer/dataclass-dict-convert
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/5d/f0/5e9c066557c40813be27106aaa51cc72050cc61dde168b9b4a4525eb82cd/dataclass-dict-convert-1.7.1.tar.gz
BuildArch: noarch
Requires: python3-dateutil
Requires: python3-stringcase
%description
# Dataclass Dict Convert
This library converts between python [dataclasses](https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass) and dicts (and json).
It was created because when using the [dataclasses-json](https://pypi.org/project/dataclasses-json/) library for my use case, I ran into limitations and performance issues.
(There's also [typed-json-dataclass](https://pypi.org/project/typed-json-dataclass) but I haven't evaluated that library.)
Since creating this library, I've discovered [Pydentic](https://pypi.org/project/pydentic/), which is a much more professional library, that in 99% of cases will be much more suitable than this library.
So I strongly recommend using Pydentic. If you use `dataclass-dict-convert`, beware that it is poorly maintained, not very well documented, may contain some bugs, and has some strange edge cases where it doesn't work.
`dataclass-dict-convert` supports lists, optionals, dicts, enums, nested dataclasses, etc.
It handles dates using RFC3339 (and enforces timezones and timezone aware `datetime`).
Example:
```python
from dataclasses import dataclass
from stringcase import camelcase
from typing import Optional, List
from dataclass_dict_convert import dataclass_dict_convert
@dataclass_dict_convert(dict_letter_case=camelcase)
@dataclass(frozen=True)
class TestB:
an_int: int
a_str: str
a_float: float
a_bool: bool
@dataclass_dict_convert(dict_letter_case=camelcase)
@dataclass(frozen=True)
class Test:
nestedClass: TestB
nestedInOpt: Optional[TestB]
nestedInList: List[TestB]
the_instanceB1 = TestB(1, 'foo', 0.1, True)
the_instanceB2 = TestB(2, 'bar', 0.2, False)
the_instanceB3 = TestB(3, 'baz', 0.3, True)
the_instanceB4 = TestB(4, 'huh', 0.4, False)
the_instance = Test(the_instanceB1, the_instanceB2, [the_instanceB3, the_instanceB4])
the_dict = {
'nestedClass': {'anInt': 1, 'aStr': 'foo', 'aFloat': 0.1, 'aBool': True, },
'nestedInOpt': {'anInt': 2, 'aStr': 'bar', 'aFloat': 0.2, 'aBool': False, },
'nestedInList': [
{'anInt': 3, 'aStr': 'baz', 'aFloat': 0.3, 'aBool': True, },
{'anInt': 4, 'aStr': 'huh', 'aFloat': 0.4, 'aBool': False, },
],
}
expected = the_dict
actual = the_instance.to_dict()
assert actual == expected
expected = the_instance
actual = Test.from_dict(the_dict)
assert actual == expected
```
The library also includes:
- RFC3339 tools (the default format for converting datetime to string),
- dataclass type checking tools
- dataclass copy method generator
- dataclass multiline repr (replace auto generated repr for dataclasses by a multiline version)
Links:
- Gitlab: https://gitlab.ilabt.imec.be/wvdemeer/dataclass-dict-convert
- PyPi: https://pypi.org/project/dataclass-dict-convert/
%package -n python3-dataclass-dict-convert
Summary: Convert between Dataclasses and dict/json
Provides: python-dataclass-dict-convert
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dataclass-dict-convert
# Dataclass Dict Convert
This library converts between python [dataclasses](https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass) and dicts (and json).
It was created because when using the [dataclasses-json](https://pypi.org/project/dataclasses-json/) library for my use case, I ran into limitations and performance issues.
(There's also [typed-json-dataclass](https://pypi.org/project/typed-json-dataclass) but I haven't evaluated that library.)
Since creating this library, I've discovered [Pydentic](https://pypi.org/project/pydentic/), which is a much more professional library, that in 99% of cases will be much more suitable than this library.
So I strongly recommend using Pydentic. If you use `dataclass-dict-convert`, beware that it is poorly maintained, not very well documented, may contain some bugs, and has some strange edge cases where it doesn't work.
`dataclass-dict-convert` supports lists, optionals, dicts, enums, nested dataclasses, etc.
It handles dates using RFC3339 (and enforces timezones and timezone aware `datetime`).
Example:
```python
from dataclasses import dataclass
from stringcase import camelcase
from typing import Optional, List
from dataclass_dict_convert import dataclass_dict_convert
@dataclass_dict_convert(dict_letter_case=camelcase)
@dataclass(frozen=True)
class TestB:
an_int: int
a_str: str
a_float: float
a_bool: bool
@dataclass_dict_convert(dict_letter_case=camelcase)
@dataclass(frozen=True)
class Test:
nestedClass: TestB
nestedInOpt: Optional[TestB]
nestedInList: List[TestB]
the_instanceB1 = TestB(1, 'foo', 0.1, True)
the_instanceB2 = TestB(2, 'bar', 0.2, False)
the_instanceB3 = TestB(3, 'baz', 0.3, True)
the_instanceB4 = TestB(4, 'huh', 0.4, False)
the_instance = Test(the_instanceB1, the_instanceB2, [the_instanceB3, the_instanceB4])
the_dict = {
'nestedClass': {'anInt': 1, 'aStr': 'foo', 'aFloat': 0.1, 'aBool': True, },
'nestedInOpt': {'anInt': 2, 'aStr': 'bar', 'aFloat': 0.2, 'aBool': False, },
'nestedInList': [
{'anInt': 3, 'aStr': 'baz', 'aFloat': 0.3, 'aBool': True, },
{'anInt': 4, 'aStr': 'huh', 'aFloat': 0.4, 'aBool': False, },
],
}
expected = the_dict
actual = the_instance.to_dict()
assert actual == expected
expected = the_instance
actual = Test.from_dict(the_dict)
assert actual == expected
```
The library also includes:
- RFC3339 tools (the default format for converting datetime to string),
- dataclass type checking tools
- dataclass copy method generator
- dataclass multiline repr (replace auto generated repr for dataclasses by a multiline version)
Links:
- Gitlab: https://gitlab.ilabt.imec.be/wvdemeer/dataclass-dict-convert
- PyPi: https://pypi.org/project/dataclass-dict-convert/
%package help
Summary: Development documents and examples for dataclass-dict-convert
Provides: python3-dataclass-dict-convert-doc
%description help
# Dataclass Dict Convert
This library converts between python [dataclasses](https://docs.python.org/3/library/dataclasses.html#dataclasses.dataclass) and dicts (and json).
It was created because when using the [dataclasses-json](https://pypi.org/project/dataclasses-json/) library for my use case, I ran into limitations and performance issues.
(There's also [typed-json-dataclass](https://pypi.org/project/typed-json-dataclass) but I haven't evaluated that library.)
Since creating this library, I've discovered [Pydentic](https://pypi.org/project/pydentic/), which is a much more professional library, that in 99% of cases will be much more suitable than this library.
So I strongly recommend using Pydentic. If you use `dataclass-dict-convert`, beware that it is poorly maintained, not very well documented, may contain some bugs, and has some strange edge cases where it doesn't work.
`dataclass-dict-convert` supports lists, optionals, dicts, enums, nested dataclasses, etc.
It handles dates using RFC3339 (and enforces timezones and timezone aware `datetime`).
Example:
```python
from dataclasses import dataclass
from stringcase import camelcase
from typing import Optional, List
from dataclass_dict_convert import dataclass_dict_convert
@dataclass_dict_convert(dict_letter_case=camelcase)
@dataclass(frozen=True)
class TestB:
an_int: int
a_str: str
a_float: float
a_bool: bool
@dataclass_dict_convert(dict_letter_case=camelcase)
@dataclass(frozen=True)
class Test:
nestedClass: TestB
nestedInOpt: Optional[TestB]
nestedInList: List[TestB]
the_instanceB1 = TestB(1, 'foo', 0.1, True)
the_instanceB2 = TestB(2, 'bar', 0.2, False)
the_instanceB3 = TestB(3, 'baz', 0.3, True)
the_instanceB4 = TestB(4, 'huh', 0.4, False)
the_instance = Test(the_instanceB1, the_instanceB2, [the_instanceB3, the_instanceB4])
the_dict = {
'nestedClass': {'anInt': 1, 'aStr': 'foo', 'aFloat': 0.1, 'aBool': True, },
'nestedInOpt': {'anInt': 2, 'aStr': 'bar', 'aFloat': 0.2, 'aBool': False, },
'nestedInList': [
{'anInt': 3, 'aStr': 'baz', 'aFloat': 0.3, 'aBool': True, },
{'anInt': 4, 'aStr': 'huh', 'aFloat': 0.4, 'aBool': False, },
],
}
expected = the_dict
actual = the_instance.to_dict()
assert actual == expected
expected = the_instance
actual = Test.from_dict(the_dict)
assert actual == expected
```
The library also includes:
- RFC3339 tools (the default format for converting datetime to string),
- dataclass type checking tools
- dataclass copy method generator
- dataclass multiline repr (replace auto generated repr for dataclasses by a multiline version)
Links:
- Gitlab: https://gitlab.ilabt.imec.be/wvdemeer/dataclass-dict-convert
- PyPi: https://pypi.org/project/dataclass-dict-convert/
%prep
%autosetup -n dataclass-dict-convert-1.7.1
%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-dataclass-dict-convert -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.1-1
- Package Spec generated
|
