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A python library for parsing multiple types of config files, envvars and command line arguments which takes the headache out of setting app configurations.

Project description

parse_it

A python library for parsing multiple types of config files, envvars and command line arguments that takes the headache out of setting app configurations.

Travis CI unit tests & auto PyPi push status: Build Status

Code coverage: codecov

Install

First install parse_it, for Python 3.5 & higher this is simply done using pip:

# Install from PyPi for Python version 3.5 & higher
pip install parse_it

If your using a Python 3.4 or older you will require the typing backported package as well, this is done with the following optional install:

# Install from PyPi for Python version 3.4 & lower
pip install parse_it[typing]

How to use

# Load parse_it
from parse_it import ParseIt

# Create parse_it object.
parser = ParseIt()

# Now you can read your configuration values no matter how they are configured (cli args, envvars, json/yaml/etc files)
my_config_key = parser.read_configuration_variable("my_config_key")

By default all configuration files will be assumed to be in the workdir or any (recursive) subfolder but that too can be easily changed:

# Load parse_it
from parse_it import ParseIt

# cat /etc/my_config_folder/my_config.json >>>
#
# {
#   "my_int": 123
# }
# 

# Create parse_it object that will look for the config files in the "/etc/my_config_folder" without looking in any subfolder
parser = ParseIt(config_folder_location="/etc/my_config_folder", recurse=False)
my_config_key = parser.read_configuration_variable("my_int")
# my_config_key will now be an int of 123

By default parse_it will look for the configuration options in the following order & will return the first one found:

  • cli_args - command line arguments that are passed in the following format --key value
  • env_vars - environment variables, you can also use envvars as an alias for it
  • json - JSON formatted files, any file ending with a .json extension in the configuration folder is assumed to be this
  • yaml - YAML formatted files, any file ending with a .yaml extension in the configuration folder is assumed to be this
  • yml - YAML formatted files, any file ending with a .yml extension in the configuration folder is assumed to be this
  • toml - TOML formatted files, any file ending with a .toml extension in the configuration folder is assumed to be this
  • tml - TOML formatted files, any file ending with a .tml extension in the configuration folder is assumed to be this
  • hcl - HCL formatted files, any file ending with a .hcl extension in the configuration folder is assumed to be this
  • tf - HCL formatted files, any file ending with a .tf extension in the configuration folder is assumed to be this
  • conf - INI formatted files, any file ending with a .conf extension in the configuration folder is assumed to be this
  • cfg - INI formatted files, any file ending with a .cfg extension in the configuration folder is assumed to be this
  • ini - INI formatted files, any file ending with a .ini extension in the configuration folder is assumed to be this
  • xml - XML formatted files, any file ending with a .xml extension in the configuration folder is assumed to be this
  • configuration default value - every configuration value can also optionally be set with a default value
  • global default value - the parser object also has a global default value which can be set

if multiple files of the same type exists in the same folder parse_it will look in all of them in alphabetical order before going to the next type,

You can decide on using your own custom order of any subset of the above options (default values excluded, they will always be last):

# Load parse_it
from parse_it import ParseIt

# Create parse_it object which will only look for envvars then yaml & yml files then json files
parser = ParseIt(config_type_priority=["env_vars", "yaml", "yml", "json"])

The global default value by default is None but if needed it's simple to set it:

# Load parse_it
from parse_it import ParseIt

# Create parse_it object with a custom default value
parser = ParseIt()
my_config_key = parser.read_configuration_variable("my_undeclared_key")
# my_config_key will now be a None

# Create parse_it object with a custom default value
parser = ParseIt(global_default_value="my_default_value")
my_config_key = parser.read_configuration_variable("my_undeclared_key")
# my_config_key will now be an string of "my_default_value"

parse_it will by default attempt to figure out the type of value returned so even in the case of envvars, cli args & INI files you will get strings/dicts/etc:

# Load parse_it
from parse_it import ParseIt

# This is just for the example
import os
os.environ["MY_INT"] = "123"
os.environ["MY_LIST"] = "['first_item', 'second_item', 'third_item']"
os.environ["MY_DICT"] = "{'key': 'value'}"

# Create parse_it object
parser = ParseIt()
my_config_key = parser.read_configuration_variable("MY_INT")
# my_config_key will now be an string of "123"
my_config_key = parser.read_configuration_variable("MY_LIST")
# my_config_key will now be an list of ['first_item', 'second_item', 'third_item']
my_config_key = parser.read_configuration_variable("MY_DICT")
# my_config_key will now be an dict of {'key': 'value'}

# you can easily disable the type estimation
parser = ParseIt(type_estimate=False)
my_config_key = parser.read_configuration_variable("MY_INT")
# my_config_key will now be an string of "123"
my_config_key = parser.read_configuration_variable("MY_LIST")
# my_config_key will now be an string of "['first_item', 'second_item', 'third_item']"
my_config_key = parser.read_configuration_variable("MY_DICT")
# my_config_key will now be an string of "{'key': 'value'}"

As envvars recommended syntax is to have all keys be UPPERCASE which is diffrent then all the rest of the configuration files parse_it will automatically change any needed config value to be in ALL CAPS when looking at envvars for the matching value but if needed you can of course disable that feature:

# Load parse_it
from parse_it import ParseIt

# This is just for the example
import os
os.environ["MY_STRING"] = "UPPER"
os.environ["my_string"] = "lower"

# Create parse_it object
parser = ParseIt()
my_config_key = parser.read_configuration_variable("my_string")
# my_config_key will now be an string of "UPPER"

# disabling force envvar uppercase
parser = ParseIt(force_envvars_uppercase=False)
my_config_key = parser.read_configuration_variable("my_string")
# my_config_key will now be an string of "lower"

You can also easily add a prefix to all envvars (note that force_envvars_uppercase will also affect the given prefix):

# Load parse_it
from parse_it import ParseIt

# This is just for the example
import os
os.environ["PREFIX_MY_INT"] = "123"

# add a prefix to all envvars used
parser = ParseIt(envvar_prefix="prefix_")
my_config_key = parser.read_configuration_variable("my_int")
# my_config_key will now be a int of 123

You can also set a default value on a per configuration key basis:

# Load parse_it
from parse_it import ParseIt

# get a default value of the key
parser = ParseIt()
my_config_key = parser.read_configuration_variable("my_undeclared_key", default_value="my_value")
# my_config_key will now be a string of "my_value"

You can also declare a key to be required (disabled by default) so it will raise a ValueError if not declared by the user anywhere:

# Load parse_it
from parse_it import ParseIt

# will raise an error as the key is not declared anywhere and required is set to True
parser = ParseIt()
my_config_key = parser.read_configuration_variable("my_undeclared_key", required=True)
# Will raise ValueError

While generally not a good idea sometimes you can't avoid it and will need to use a custom non standard file suffix, you can add a custom mapping of suffixes to any of the supported file formats as follows (note that config_type_priority should also be set to configure the priority of said custom suffix):

# Load parse_it
from parse_it import ParseIt

# Create parse_it object which will only look for envvars then the custom_yaml_suffix then standard yaml & yml files then json files
parser = ParseIt(config_type_priority=["env_vars", "custom_yaml_suffix", "yaml", "yml", "json"], custom_suffix_mapping={"yaml": ["custom_yaml_suffix"]})

You might sometimes want to check that the enduser passed to your config a specific type of variable, parse_it allows you to easily check if a value belongs to a given list of types by setting allowed_types which will then raise a TypeError if the value type given is not in the list of allowed_types, by default this is set to None so no type ensuring takes place:

# Load parse_it
from parse_it import ParseIt

# This is just for the example
import os
os.environ["ONLY_INTGERS_PLEASE"] = "123"

# Create parse_it object which will only look for envvars then the custom_yaml_suffix then standard yaml & yml files then json files
parser = ParseIt()

# skips the type ensuring check as it's not set so all types are accepted
my_config_key = parser.read_configuration_variable("only_intgers_please")

# the type of the variable value is in the list of allowed_types so no errors\warning\etc will be raised
my_config_key = parser.read_configuration_variable("only_intgers_please", allowed_types=[int])

# will raise a TypeError
my_config_key = parser.read_configuration_variable("only_intgers_please", allowed_types=[str, dict, list, None])

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