Environment parser
Requirements
- Python - Minimum required version is 3.8
Using the environment parser
EnvironmentParser class parses all environment variables with certain prefix and
creates a Python dictionary based on the structure of these variables. The values
are converted to booleans and integers when detected as such by default.
General variable structure rules:
- variable name after prefix should not be empty
- first character of variable name after prefix should not be "_"
- different levels of depth within environment variables are specified by using
"__" string.
- arrays can be specified by using numeric index as a key within particular level
- array numeric indices should be defined in order, variables with invalid index
will be discarded
Value conversion rules:
- value will be converted to boolean if it matches
true
or false
when lower
cased - value will be converted to integer if it contains digits only
Using the EnvironmentParser class
Example of instantiating of EnvironmentParser object using MYPREFIX
as a prefix
for environment variables. Upon instantiation, the object will automatically parse
the current environment variables and store them in its configuration
property.
import json
from adi_env_parser import EnvironmentParser
parser = EnvironmentParser(prefix="MYPREFIX")
print(json.dump(json.dumps(parser.configuration, indent=4)))
It is possible to provide existing JSON formatted file as a configuration base.
import json
from adi_env_parser import EnvironmentParser
parser = EnvironmentParser(prefix="MYPREFIX", config_file="configuration.json")
print(json.dump(json.dumps(parser.configuration, indent=4)))
It is possible to disable value conversion by setting convert_values
parameter
when instantiating EnvironmentParser
object.
from adi_env_parser import EnvironmentParser
parser = EnvironmentParser(prefix="MYPREFIX", convert_values=False)
Examples
Examples use PYENV as environment variable prefix. This is default prefix used
when not specifying one explicitly when instatiating EnvironmentParser.
Creating dictionary
Environment variables:
PYENV_hotel_name="Blue Falcon"
PYENV_rooms__room_1="James Holden"
PYENV_rooms__room_2="Amos Burton"
PYENV_rooms__room_3="Naomi Nagata"
PYENV_rooms__room_4="Alex Kamal"
Resulting object:
{
"hotel_name": "Blue Falcon",
"rooms": {
"room_1": "James Holden",
"room_2": "Amos Burton",
"room_3": "Naomi Nagata",
"room_4": "Alex Kamal"
}
}
Creating array
Environment variables:
PYENV_hotel_name="Blue Falcon"
PYENV_room_1__inventory__0="Wardrobe"
PYENV_room_1__inventory__1="Table"
PYENV_room_1__inventory__2="Lamp"
Resulting object:
{
"hotel_name": "Blue Falcon",
"room_1": {
"inventory": [
"Wardrobe",
"Table",
"Lamp"
]
}
}
Dictionaries within list
Environment variables:
PYENV_hotel_name="Blue Falcon"
PYENV_rooms__0__name="Room 1"
PYENV_rooms__0__capacity="2"
PYENV_rooms__2__name="Room 2"
PYENV_rooms__2__capacity="2"
Resulting object:
{
"hotel_name": "Blue Falcon",
"rooms": [
{
"name": "Room 1",
"capacity": "2"
},
{
"name": "Room 2",
"capacity": "2"
}
]
}
Console utility
Module provides console utility which can be used for parsing of environment
variables. It also supports reading of existing JSON formatted file and setting
indentation for output of created configuration JSON object.
➜ adi-env-parser --help
usage: adi-env-parser -p <prefix> -j <base_json_file>
Parses environment variables with defined prefix and creates JSON output from the parsed structure.
optional arguments:
-h, --help show this help message and exit
--prefix [PREFIX], -p [PREFIX]
Environment variable prefix. Default: PYENV
--json [JSON], -j [JSON]
JSON formatted file to read as base configuration
--indent [INDENT], -i [INDENT]
Number of spaces to use for indentation of output JSON string
--ignore-prefix IGNORE_PREFIX, -n IGNORE_PREFIX
Environment variable prefix to ignore. Can be used multiple times.
Development
Install development packages
pip install -e ".[dev]"
pip install -e ".[test]"
pip install -e ".[build-local]"
Install pre-commit
pre-commit install
Building and publishing new version
New version is built and published on tag in GitHub repository. The package version is infered from commit name.