noconf


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Version 1.0 PyPI version JSON
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home_pagehttps://github.com/dnouri/noconf
SummaryComponent-based configuration for everyone!
upload_time2023-08-25 11:54:38
maintainer
docs_urlNone
authorDaniel Nouri
requires_python
license
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            ======
noconf
======

Key features
============

1. **Flexible configuration**: noconf allows you to configure your
   Python applications using configuration files that use Python
   syntax.

2. **Multiple configuration files**: noconf allows you to split your
   configuration across multiple files, making it easier to manage and
   update your configuration as your application grows.

3. **Configuration referencing**: noconf allows you to reference other
   parts of your configuration from within your configuration,
   avoiding duplication and keeping your configuration DRY (Don't
   Repeat Yourself).

4. **Component-based programming**: noconf enables you to initialize
   classes using your configuration, making it easy to compose complex
   systems out of smaller, reusable components. This promotes code
   reuse and maintainability.

Usage
=====

At a minimum, noconf allows us to read configuration that's stored in
files with Python syntax, where the file contains exactly one top
level dictionary.

Let's first write a very simple config file:

>>> config1_fname = folder / "config1.py"
>>> config1_fname.write_text("""
... {'key1': 'value1', 'key2': ['value2']}
... """)
40

>>> from noconf import load
>>> load(config1_fname)
{'key1': 'value1', 'key2': ['value2']}

We can also chain configuration files, that is, load multiple
configuration files and merge them, where contents of the files later
in the list of files to load will take precedence:

>>> config2_fname = folder / "config2.py"
>>> config2_fname.write_text("""
... {'key1': 'new', 'key3': {'__copy__': 'key2'}}
... """)
47
>>> load((config1_fname, config2_fname))  # a tuple of config files
{'key1': 'new', 'key2': ['value2'], 'key3': ['value2']}

Notice that in the above example, we also used a `'__copy__'` feature,
which allows us to refer to other parts in the configuration, and to
avoid duplication.

We can also instantiate classes directly from the configuration.
Let's create a configuration file that instantiates a Python logging
FileHandler class.  We're also going to configure the FileHandler with
a filename that's passed as an environment variable.  We use the
special `environ` variable in noconf to access environment variables:

>>> setenv("LOGFILE", str(folder / "mylogfile.txt"))

>>> config3_fname = folder / "config3.py"
>>> config3_fname.write_text("""
... {
...     'handlers': [
...         {
...             '!': 'logging.FileHandler',
...             'filename': environ['LOGFILE'],
...         },
...     ],
... }
... """)
135
>>> config = load(config3_fname)
>>> filehandler = config['handlers'][0]

>>> from pathlib import Path
>>> Path(filehandler.baseFilename).parts[-1]
'mylogfile.txt'

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    "description": "======\nnoconf\n======\n\nKey features\n============\n\n1. **Flexible configuration**: noconf allows you to configure your\n   Python applications using configuration files that use Python\n   syntax.\n\n2. **Multiple configuration files**: noconf allows you to split your\n   configuration across multiple files, making it easier to manage and\n   update your configuration as your application grows.\n\n3. **Configuration referencing**: noconf allows you to reference other\n   parts of your configuration from within your configuration,\n   avoiding duplication and keeping your configuration DRY (Don't\n   Repeat Yourself).\n\n4. **Component-based programming**: noconf enables you to initialize\n   classes using your configuration, making it easy to compose complex\n   systems out of smaller, reusable components. This promotes code\n   reuse and maintainability.\n\nUsage\n=====\n\nAt a minimum, noconf allows us to read configuration that's stored in\nfiles with Python syntax, where the file contains exactly one top\nlevel dictionary.\n\nLet's first write a very simple config file:\n\n>>> config1_fname = folder / \"config1.py\"\n>>> config1_fname.write_text(\"\"\"\n... {'key1': 'value1', 'key2': ['value2']}\n... \"\"\")\n40\n\n>>> from noconf import load\n>>> load(config1_fname)\n{'key1': 'value1', 'key2': ['value2']}\n\nWe can also chain configuration files, that is, load multiple\nconfiguration files and merge them, where contents of the files later\nin the list of files to load will take precedence:\n\n>>> config2_fname = folder / \"config2.py\"\n>>> config2_fname.write_text(\"\"\"\n... {'key1': 'new', 'key3': {'__copy__': 'key2'}}\n... \"\"\")\n47\n>>> load((config1_fname, config2_fname))  # a tuple of config files\n{'key1': 'new', 'key2': ['value2'], 'key3': ['value2']}\n\nNotice that in the above example, we also used a `'__copy__'` feature,\nwhich allows us to refer to other parts in the configuration, and to\navoid duplication.\n\nWe can also instantiate classes directly from the configuration.\nLet's create a configuration file that instantiates a Python logging\nFileHandler class.  We're also going to configure the FileHandler with\na filename that's passed as an environment variable.  We use the\nspecial `environ` variable in noconf to access environment variables:\n\n>>> setenv(\"LOGFILE\", str(folder / \"mylogfile.txt\"))\n\n>>> config3_fname = folder / \"config3.py\"\n>>> config3_fname.write_text(\"\"\"\n... {\n...     'handlers': [\n...         {\n...             '!': 'logging.FileHandler',\n...             'filename': environ['LOGFILE'],\n...         },\n...     ],\n... }\n... \"\"\")\n135\n>>> config = load(config3_fname)\n>>> filehandler = config['handlers'][0]\n\n>>> from pathlib import Path\n>>> Path(filehandler.baseFilename).parts[-1]\n'mylogfile.txt'",
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Daniel Nouri
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