Skip to main content

A Package to combine YAML configurations and argument parsing

Project description

YAML Configuration and Argument Parsing

This package is designed to combine the parsing of configuration files and command line options. Basically, configuration files (currently we support YAML files only) will be parsed and returned in a NameSpace data structure. Additionally, all options contained in the configuration files will be added to a command line parser, so that any option from the command line can be overwritten in that NameSpace -- and all other options will be added to the NameSpace as well.

DISCLAIMER

This package is work in progress. Currently, only YAML configuration files and argparse parsers are supported. Also, the documentation might be incomplete and not be up-to-date yet.

Installation

This package is available on the Python Package Index, so you can simply do a pip install:

pip install yamlparser

For the latest version from github, you can also use pip install:

pip install git+https://github.com/AIML-IfI/yamlparser.git

Getting Help

If you find a bug in the code or wish to propose changes, feel free to file an issue or open a merge request. Please contact siebenkopf@googlemail.com in all other cases of issues.

Documentation

NameSpace

The NameSpace class is designed to hold configuration options. NameSpace's can be constructed from any type of nested dictionary:

namespace = yamlparser.NameSpace({
    "name" : "Jon Doe",
    "age"  : 42,
    "address" : {
        "street" : "Main Street",
        "number" : 10
    }
})

Each nested dictionary internally is transferred into a sub-namespace. Please note that keys in the dictionary are restricted to valid python variable names.

Similarly, NameSpace's can load these dictionaries directly from a YAML file:

namespace = yamlparser.NameSpace("config.yaml")

The options contained in a NameSpace can be accessed either as attributes, or via indexing:

namespace.name
namespace["age"]

Sub-namespaces follow the exact same principle:

namespace.address.street
namesapce["address"]["number"]

Generally, values can be added to a NameSpace by simple assignment:

namespace.address.city = "Zurich"
namespace["address"]["zip"] = 8050

It is even possible to create new sub-namespaces on the fly:

namespace.children.daughter = "Jane Doe"
namespace["children"].son = "Jake Doe"

NameSpace objects can be written to YAML files:

namespace.save("path/to/my/file.yaml")

You can also turn this NameSpace into a fully-quoted dictionary, where sub-namespaces are separated using a period . to avoid name clashes:

namespace.attributes()

will return:

{
    'name': 'Jon Doe',
    'age': 42,
    'address.street': 'Main Street',
    'address.number': 10,
    'address.city': 'Zurich',
    'address.zip': 8050,
    'children.daughter': 'Jane Doe',
    'children.son': 'Jake Doe'
}

Finally, you can format a given string with the contents of a NameSpace. Simply use fully-quoted embraced keys, and you will get the according values. This feature is particularly useful when you want to build file names according to configurations. Given the namespace object from above, you can query:

namespace.format("Name={name}, Address={address.street} {address.number}")

to obtain the result "Name=Jon Doe, Address=Main Street 10". Please note that format options (such as used in f-strings) are not (yet) supported. Also, if the key is not part of the namespace.attributes(), the entry will not be replaced:

namespace.format("Name={name}, Unknown={unknown}")

will result in "Name=Jon Doe, Unknown={unknown}".

Parser

The main of this package is to combine configurations read from YAML files with command line parsing. Precisely, we want to automatically be able to overwrite any parameter that is contained in a configuration file on the command line, but keep the default if it is not updated. For this purpose, we provide a simple function config_parser, which is called in the script.py that you can find in the main directory and writes the configuration to console:

[content of script.py]
import yamlparser
namespace = yamlparser.config_parser()
print(namespace.dump())

The config_parser function internally creates and argparse parser that requests for a (list of) configuration files. $ python script.py --help

usage: [-h] configuration_files [configuration_files ...]

positional arguments:
  configuration_files  The configuration files to parse. From the second config onward, it be key=value pairs to create sub-configurations

optional arguments:
  -h, --help           show this help message and exit

When presenting a configuration file, it is automatically parser and all its contents are added to the parser:

$ python script.py config.yaml --help

usage: script.py [-h] [--name NAME] [--age AGE] [--address.street ADDRESS.STREET] [--address.number ADDRESS.NUMBER] configuration_files [configuration_files ...]

positional arguments:
  configuration_files   The configuration files to parse. From the second config onward, it be key=value pairs to create sub-configurations

optional arguments:
  -h, --help            show this help message and exit
  --name NAME           Overwrite value for name, default=Jon Doe
  --age AGE             Overwrite value for age, default=42,
  --address.street ADDRESS.STREET
                        Overwrite value for address.street, default=Main Street
  --address.number ADDRESS.NUMBER
                        Overwrite value for address.number, default=10

When removing the --help option, you can see the parser configurations (the default behavior of script.py):

$ python script.py config.yaml

address:
    number: 10
    street: Main Street
age: 42
name: Jon Doe

You can overwrite any of these options on the command line:

$ python script.py config.yaml --name "Jane Doe" --address.number 911

address:
    number: 911
    street: Main Street
age: 42
name: Jane Doe

Note that by default, the options infer the data types from the YAML file, e.g., if the YAML file contains an integer, only integer values are accepted:

$ python script.py config.yaml --age 12.5

usage: script.py [-h] [--name NAME] [--age AGE] [--address.street ADDRESS.STREET] [--address.number ADDRESS.NUMBER] configuration_files [configuration_files ...]
script.py: error: argument --age: invalid int value: '12.5'

At least one configuration file needs to be present, but more than one file can be specified, in which case configurations of the former files are overwritten by latter files. It is also possible to add configuration files into sub-namespaces by defining a name=file.yaml on command line:

$ python script.py config.yaml data=config.yaml

address:
    number: 10
    street: Main Street
age: 42
data:
    address:
        number: 10
        street: Main Street
    age: 42
    name: Jon Doe
name: Jon Doe

Additionally, we wish to be able to add command line options to our configurations that do not appear in any configuration file. This can be done programmatically by providing a parser with specific options, and example is provided in extend.py:

[content of extended.py]
import yamlparser, argparse
parser = argparse.ArgumentParser()
parser.add_option("--haircolor")
parser.add_option("--dob.year", type=int)
parser.add_option("--dob.month", type=int, default=8)
namespace = yamlparser.config_parser(parser=parser)
print(namespace.dump())

When calling this script, the selected options will be added to the options:

$ python extended.py config.yaml --help

usage: extended.py [-h] [--haircolor HAIRCOLOR] [--dob.year DOB.YEAR] [--dob.month DOB.MONTH] [--name NAME] [--age AGE] [--address.street STREET] [--address.number NUMBER]
                  configuration_files [configuration_files ...]

positional arguments:
  configuration_files   The configuration files to parse. From the second config onward, it be key=value pairs to create sub-configurations

optional arguments:
  -h, --help            show this help message and exit
  --haircolor HAIRCOLOR
                        Set hair color
  --dob.year DOB.YEAR   Set year of birth
  --dob.month DOB.MONTH
                        Set month of birth, default=8
  --name NAME           Overwrite value for name, default=Jon Doe
  --age AGE             Overwrite value for age, default=42
  --address.street STREET
                        Overwrite value for address.street, default=Main Street
  --address.number NUMBER
                        Overwrite value for address.number, default=10

Any selected option will be reflected in the returned namespace:

$ python extended.py config.yaml --haircolor Brown

address:
    number: 10
    street: Main Street
age: 42
dob:
    month: 8
haircolor: Brown
name: Jon Doe

Please note that options without default values that are not provided on the command line are not represented in the configuration. We propose to provide default values for all options (which cannot be None) to avoid surprises.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yamlparser-0.0.16.tar.gz (11.0 kB view details)

Uploaded Source

Built Distribution

yamlparser-0.0.16-py3-none-any.whl (9.0 kB view details)

Uploaded Python 3

File details

Details for the file yamlparser-0.0.16.tar.gz.

File metadata

  • Download URL: yamlparser-0.0.16.tar.gz
  • Upload date:
  • Size: 11.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for yamlparser-0.0.16.tar.gz
Algorithm Hash digest
SHA256 38610edc054a922f738ba65ba98cd5cd5243304bd2dd3a6a9d28c4a6c70a7333
MD5 e39601dea3c0f9e4ba53ecaa1c6a37ee
BLAKE2b-256 1cb2b5613917fcd2fb9fd69574869472e5f15c66672f057891bd8f559d7b6e39

See more details on using hashes here.

File details

Details for the file yamlparser-0.0.16-py3-none-any.whl.

File metadata

  • Download URL: yamlparser-0.0.16-py3-none-any.whl
  • Upload date:
  • Size: 9.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.3

File hashes

Hashes for yamlparser-0.0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 b67a89be5ddcfcb86692982f7f11c9638f2b1b08f1c39e990cd69a0b602a53ff
MD5 4b3bfe2a4f83b60dc8e165dcca2f24f7
BLAKE2b-256 48088ab60ca4372cc3423bef8cf957ea5f71eb7011ee54e65178659bee0b19cc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page