%global _empty_manifest_terminate_build 0
Name:		python-ConfigFramework
Version:	3.0.3
Release:	1
Summary:	A small framework to build your flexible project configurations
License:	GPLv3
URL:		https://github.com/Rud356/ConfigFramework
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d6/42/c6f45d1c08c3d5f8eeece6e0767315c45cc48555d459e089fe269fd5732e/ConfigFramework-3.0.3.tar.gz
BuildArch:	noarch

Requires:	python3-pyyaml
Requires:	python3-sphinx
Requires:	python3-sphinx-rtd-theme
Requires:	python3-Pygments
Requires:	python3-mypy
Requires:	python3-types-PyYAML

%description
# ConfigFramework 3.0
![PyPI version](https://img.shields.io/pypi/v/ConfigFramework)
![Python version](https://img.shields.io/pypi/pyversions/ConfigFramework)
![PyPi downloads/m](https://img.shields.io/pypi/dm/ConfigFramework)
![Issues](https://img.shields.io/github/issues/Rud356/ConfigFramework)
[![Python package](https://github.com/Rud356/ConfigFramework/actions/workflows/python-tests.yml/badge.svg)](https://github.com/Rud356/ConfigFramework/actions/workflows/python-tests.yml)

A small and simple framework to build your configs. 

This project been created mostly because of me myself needing some simplistic
and at the same time powerful enough tool to create configs, validate them through have simple interface.

## Installing
Pypi link: https://pypi.org/project/ConfigFramework

Install with command:
`pip install ConfigFramework`

To install with mypy you must use command:
`pip install ConfigFramework[mypy]`

To install with mypy and dev dependencies building requirements you must use command:
`pip install ConfigFramework[mypy,dev]`

## Documentation
[ConfigFrameworks stable branch documentation](https://configframework.readthedocs.io)

### How to build docs for local usage
1. Install dev-requirements.txt via `pip install -r dev-requirements.txt`
2. Change a current directory to docs/
3. Execute `make html`
4. Open build/html folder and then open index.html in your browser

## Example of usage

Here's basic example:
```python3
from typing import Tuple
from config_framework import BaseConfig, VariableKey, Variable, types
from config_framework.loaders import Dict

loader = Dict.load(
    data=dict(
        user_id=1,
        nested_val=dict(pi=3.14),
        python="3.6.7"
    )
)


class ConfigSample(BaseConfig):
    user_id: Variable[int] = Variable(loader, VariableKey("user_id"))
    pi_value = Variable(loader, VariableKey("nested_val") / "pi")
    # Defaults only applied when key isn't found.
    # Also default values will be validated after initializing
    # and after you register new validator.
    some_value = Variable(loader, "not_found_value", default="Hello world")
    python: Variable[Tuple[int, int, int]] = Variable(
          loader, "python"
      )

    @staticmethod
    @python.register_deserializer
    def deserialize_version(
        var: Variable, value: str
    ) -> Tuple[int, int, int]:
        version = tuple(map(int, value.split(".")))
        if len(version) != 3:
            raise types.custom_exceptions.InvalidValueError(
                "Version must contain 3 parts"
            )

        return version  # noqa: there's a check on being must be exactly 3 parts

    @staticmethod
    @python.register_serializer
    def serialize_version(
        var: Variable, value: Tuple[int, int, int]
    ) -> str:
        if len(value) != 3:
            raise types.custom_exceptions.InvalidValueError(
                "Version must contain 3 parts"
            )

        version = ".".join(map(str, value))
        return version
    
    @staticmethod
    @user_id.register_validator
    def validate_user_id(var, value):
        # Functions can return bool values or raise
        # config_framework.types.custom_exceptions.InvalidValueError
        # for more detailed description.
        return value == 1

    def __post_init__(self) -> None:
        print("Post init here!")
        print("Values aren't locked yet")

        self.new_value = 122


config = ConfigSample()
print("User id:", config.user_id)
print("Pi value:", config.pi_value)
print("Some value:", config.some_value)
print("Post inited value:", config.new_value)

# Configs by default aren't modifiable since frozen=True
# If you need changing variables for modifying config - you must
# create an instance of like this: ConfigSample(frozen=False)
# But right now it will raise NotImplementedError
config.some_value = "random"
```

See examples with explanation [here](https://github.com/Rud356/ConfigFramework/blob/master/examples/)

## Supported formats
Config formats:
- Yaml
- Json (strings or files)
- Environment variables
- Pythons dictionaries
- Composite loading from multiple simple loaders

## Features
- Loading configs from multiple sources
- Creating custom loaders and variables types
- Nested configs
- Flexible configs definition
- Config values validations
- Casting variables values to specific types using functions
- Casting to acceptable variable type before dumping variable to loader
- Variables serialization/deserialization depending on from which loader it was fetched
- Default values for per loader or per variable
- Translating one config loaders data to other (with or without including default values for each one)
- Composite loaders that allow you to define where to look up values using only one loader, that handles
  combining others
- Simpler access to variables values (new in 3.0)

## About 3.0
This version of config framework breaks many things and has other structure, 
so you will have to manually migrate to this one. I think it was necessary
to improve many things, and I hope it will make your life easier.

### What is different?
- Now module will be called config_framework when you import it into project
- Structure of whole project is different comparing to 2.0
- Usage of VariableKey to create key that will tell how to access nested values
without worrying about what symbols to use, but requiring to explicitly write
VariableKey whenever you want to go from this root key
- Improved usability by using descriptors and making more logical arguments order
- By default, config will not allow you
assigning any values after `__post_init__` was called

### Known issues
- Typehint for `Variable[any_type]` doesn't work properly and give
only hints for Variable methods, while must give hints for any_type, when
called from instance of any subclass of BaseConfig


%package -n python3-ConfigFramework
Summary:	A small framework to build your flexible project configurations
Provides:	python-ConfigFramework
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-ConfigFramework
# ConfigFramework 3.0
![PyPI version](https://img.shields.io/pypi/v/ConfigFramework)
![Python version](https://img.shields.io/pypi/pyversions/ConfigFramework)
![PyPi downloads/m](https://img.shields.io/pypi/dm/ConfigFramework)
![Issues](https://img.shields.io/github/issues/Rud356/ConfigFramework)
[![Python package](https://github.com/Rud356/ConfigFramework/actions/workflows/python-tests.yml/badge.svg)](https://github.com/Rud356/ConfigFramework/actions/workflows/python-tests.yml)

A small and simple framework to build your configs. 

This project been created mostly because of me myself needing some simplistic
and at the same time powerful enough tool to create configs, validate them through have simple interface.

## Installing
Pypi link: https://pypi.org/project/ConfigFramework

Install with command:
`pip install ConfigFramework`

To install with mypy you must use command:
`pip install ConfigFramework[mypy]`

To install with mypy and dev dependencies building requirements you must use command:
`pip install ConfigFramework[mypy,dev]`

## Documentation
[ConfigFrameworks stable branch documentation](https://configframework.readthedocs.io)

### How to build docs for local usage
1. Install dev-requirements.txt via `pip install -r dev-requirements.txt`
2. Change a current directory to docs/
3. Execute `make html`
4. Open build/html folder and then open index.html in your browser

## Example of usage

Here's basic example:
```python3
from typing import Tuple
from config_framework import BaseConfig, VariableKey, Variable, types
from config_framework.loaders import Dict

loader = Dict.load(
    data=dict(
        user_id=1,
        nested_val=dict(pi=3.14),
        python="3.6.7"
    )
)


class ConfigSample(BaseConfig):
    user_id: Variable[int] = Variable(loader, VariableKey("user_id"))
    pi_value = Variable(loader, VariableKey("nested_val") / "pi")
    # Defaults only applied when key isn't found.
    # Also default values will be validated after initializing
    # and after you register new validator.
    some_value = Variable(loader, "not_found_value", default="Hello world")
    python: Variable[Tuple[int, int, int]] = Variable(
          loader, "python"
      )

    @staticmethod
    @python.register_deserializer
    def deserialize_version(
        var: Variable, value: str
    ) -> Tuple[int, int, int]:
        version = tuple(map(int, value.split(".")))
        if len(version) != 3:
            raise types.custom_exceptions.InvalidValueError(
                "Version must contain 3 parts"
            )

        return version  # noqa: there's a check on being must be exactly 3 parts

    @staticmethod
    @python.register_serializer
    def serialize_version(
        var: Variable, value: Tuple[int, int, int]
    ) -> str:
        if len(value) != 3:
            raise types.custom_exceptions.InvalidValueError(
                "Version must contain 3 parts"
            )

        version = ".".join(map(str, value))
        return version
    
    @staticmethod
    @user_id.register_validator
    def validate_user_id(var, value):
        # Functions can return bool values or raise
        # config_framework.types.custom_exceptions.InvalidValueError
        # for more detailed description.
        return value == 1

    def __post_init__(self) -> None:
        print("Post init here!")
        print("Values aren't locked yet")

        self.new_value = 122


config = ConfigSample()
print("User id:", config.user_id)
print("Pi value:", config.pi_value)
print("Some value:", config.some_value)
print("Post inited value:", config.new_value)

# Configs by default aren't modifiable since frozen=True
# If you need changing variables for modifying config - you must
# create an instance of like this: ConfigSample(frozen=False)
# But right now it will raise NotImplementedError
config.some_value = "random"
```

See examples with explanation [here](https://github.com/Rud356/ConfigFramework/blob/master/examples/)

## Supported formats
Config formats:
- Yaml
- Json (strings or files)
- Environment variables
- Pythons dictionaries
- Composite loading from multiple simple loaders

## Features
- Loading configs from multiple sources
- Creating custom loaders and variables types
- Nested configs
- Flexible configs definition
- Config values validations
- Casting variables values to specific types using functions
- Casting to acceptable variable type before dumping variable to loader
- Variables serialization/deserialization depending on from which loader it was fetched
- Default values for per loader or per variable
- Translating one config loaders data to other (with or without including default values for each one)
- Composite loaders that allow you to define where to look up values using only one loader, that handles
  combining others
- Simpler access to variables values (new in 3.0)

## About 3.0
This version of config framework breaks many things and has other structure, 
so you will have to manually migrate to this one. I think it was necessary
to improve many things, and I hope it will make your life easier.

### What is different?
- Now module will be called config_framework when you import it into project
- Structure of whole project is different comparing to 2.0
- Usage of VariableKey to create key that will tell how to access nested values
without worrying about what symbols to use, but requiring to explicitly write
VariableKey whenever you want to go from this root key
- Improved usability by using descriptors and making more logical arguments order
- By default, config will not allow you
assigning any values after `__post_init__` was called

### Known issues
- Typehint for `Variable[any_type]` doesn't work properly and give
only hints for Variable methods, while must give hints for any_type, when
called from instance of any subclass of BaseConfig


%package help
Summary:	Development documents and examples for ConfigFramework
Provides:	python3-ConfigFramework-doc
%description help
# ConfigFramework 3.0
![PyPI version](https://img.shields.io/pypi/v/ConfigFramework)
![Python version](https://img.shields.io/pypi/pyversions/ConfigFramework)
![PyPi downloads/m](https://img.shields.io/pypi/dm/ConfigFramework)
![Issues](https://img.shields.io/github/issues/Rud356/ConfigFramework)
[![Python package](https://github.com/Rud356/ConfigFramework/actions/workflows/python-tests.yml/badge.svg)](https://github.com/Rud356/ConfigFramework/actions/workflows/python-tests.yml)

A small and simple framework to build your configs. 

This project been created mostly because of me myself needing some simplistic
and at the same time powerful enough tool to create configs, validate them through have simple interface.

## Installing
Pypi link: https://pypi.org/project/ConfigFramework

Install with command:
`pip install ConfigFramework`

To install with mypy you must use command:
`pip install ConfigFramework[mypy]`

To install with mypy and dev dependencies building requirements you must use command:
`pip install ConfigFramework[mypy,dev]`

## Documentation
[ConfigFrameworks stable branch documentation](https://configframework.readthedocs.io)

### How to build docs for local usage
1. Install dev-requirements.txt via `pip install -r dev-requirements.txt`
2. Change a current directory to docs/
3. Execute `make html`
4. Open build/html folder and then open index.html in your browser

## Example of usage

Here's basic example:
```python3
from typing import Tuple
from config_framework import BaseConfig, VariableKey, Variable, types
from config_framework.loaders import Dict

loader = Dict.load(
    data=dict(
        user_id=1,
        nested_val=dict(pi=3.14),
        python="3.6.7"
    )
)


class ConfigSample(BaseConfig):
    user_id: Variable[int] = Variable(loader, VariableKey("user_id"))
    pi_value = Variable(loader, VariableKey("nested_val") / "pi")
    # Defaults only applied when key isn't found.
    # Also default values will be validated after initializing
    # and after you register new validator.
    some_value = Variable(loader, "not_found_value", default="Hello world")
    python: Variable[Tuple[int, int, int]] = Variable(
          loader, "python"
      )

    @staticmethod
    @python.register_deserializer
    def deserialize_version(
        var: Variable, value: str
    ) -> Tuple[int, int, int]:
        version = tuple(map(int, value.split(".")))
        if len(version) != 3:
            raise types.custom_exceptions.InvalidValueError(
                "Version must contain 3 parts"
            )

        return version  # noqa: there's a check on being must be exactly 3 parts

    @staticmethod
    @python.register_serializer
    def serialize_version(
        var: Variable, value: Tuple[int, int, int]
    ) -> str:
        if len(value) != 3:
            raise types.custom_exceptions.InvalidValueError(
                "Version must contain 3 parts"
            )

        version = ".".join(map(str, value))
        return version
    
    @staticmethod
    @user_id.register_validator
    def validate_user_id(var, value):
        # Functions can return bool values or raise
        # config_framework.types.custom_exceptions.InvalidValueError
        # for more detailed description.
        return value == 1

    def __post_init__(self) -> None:
        print("Post init here!")
        print("Values aren't locked yet")

        self.new_value = 122


config = ConfigSample()
print("User id:", config.user_id)
print("Pi value:", config.pi_value)
print("Some value:", config.some_value)
print("Post inited value:", config.new_value)

# Configs by default aren't modifiable since frozen=True
# If you need changing variables for modifying config - you must
# create an instance of like this: ConfigSample(frozen=False)
# But right now it will raise NotImplementedError
config.some_value = "random"
```

See examples with explanation [here](https://github.com/Rud356/ConfigFramework/blob/master/examples/)

## Supported formats
Config formats:
- Yaml
- Json (strings or files)
- Environment variables
- Pythons dictionaries
- Composite loading from multiple simple loaders

## Features
- Loading configs from multiple sources
- Creating custom loaders and variables types
- Nested configs
- Flexible configs definition
- Config values validations
- Casting variables values to specific types using functions
- Casting to acceptable variable type before dumping variable to loader
- Variables serialization/deserialization depending on from which loader it was fetched
- Default values for per loader or per variable
- Translating one config loaders data to other (with or without including default values for each one)
- Composite loaders that allow you to define where to look up values using only one loader, that handles
  combining others
- Simpler access to variables values (new in 3.0)

## About 3.0
This version of config framework breaks many things and has other structure, 
so you will have to manually migrate to this one. I think it was necessary
to improve many things, and I hope it will make your life easier.

### What is different?
- Now module will be called config_framework when you import it into project
- Structure of whole project is different comparing to 2.0
- Usage of VariableKey to create key that will tell how to access nested values
without worrying about what symbols to use, but requiring to explicitly write
VariableKey whenever you want to go from this root key
- Improved usability by using descriptors and making more logical arguments order
- By default, config will not allow you
assigning any values after `__post_init__` was called

### Known issues
- Typehint for `Variable[any_type]` doesn't work properly and give
only hints for Variable methods, while must give hints for any_type, when
called from instance of any subclass of BaseConfig


%prep
%autosetup -n ConfigFramework-3.0.3

%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-ConfigFramework -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.3-1
- Package Spec generated