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A simple configuration parser for Python
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theherk/figgypy
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A simple configuration parser.
pip install figgypy
importfiggypycfg=figgypy.set_config(conf_file)cfg.get_value('somevalue',optional_default)# orcfg.values['somevalue']# orcfg.values.get('somevalue',optional_default)# orfiggypy.get_value('somevalue',optional_default)
Config object can be created with a filename only, relative path, or absolute path.If only name or relative path is provided, look in this order:
- current directory
~/.config/<file_name>
/etc/<file_name>
It is a good idea to include you__package__
in the file name.For example,cfg = Config(os.path.join(__package__, 'config.yaml'))
.This way it will look foryour_package/config.yaml
,~/.config/your_package/config.yaml
, and/etc/your_package/config.yaml
.
The configuration file currently supports json,xml*, and yaml.
* note - xml will work, but since it requires having only one root, all of the configuration will be in a dictionary named that root. See examples below.
# a.pyfromfiggypyimportConfig,set_configcfg=Config(config_file='config.yaml')figgypy.set_config(cfg)# b.pyimportfiggypyfiggypy.get_value('somevalue')
importfiggypycfg=figgypy.Config()cfg.set_value('somedict', {'a':'aye','b':'bee'})
note: By default each is configured to run the decryption routine. This can be disabled.
importfiggypycfg=figgypy.Config(config_file='config.yaml',decrypt_gpg=False,decrypt_kms=False)cfg.decrypt_kms=True# configuration is reloaded and decrypted
You can run Config.setup to reconstruct the same Config object with new settings. Like this:
# in shared.pyimportfiggypycfg=figgypy.Config()figgypy.set_config(cfg)# in worker.pyimportfiggypycfg=get_config()cfg.setup(config_file=file_,kms_decrypt=False,gpg_config=gpgconf)
These changes should also make testing in your applications easier, because in the tests you can reload a different configuration on the same object:
importfiggypyfrommylibimporttotesttotest.config_file='tests/resources/config.yaml'
{"db": {"url":"mydburl.com","name":"mydbname","user":"myusername","pass":"correcthorsebatterystable" },"log": {"file":"/var/log/cool_project.log","level":"INFO" }}
cfg = Config('theabove.json')
This yields objectcfg
with attributesdb
andlog
, each of which are dictionaries.
<?xml version="1.0" encoding="utf-8"?><config> <db> <url>mydburl.com</url> <name>mydbname</name> <user>myusername</user> <pass>correcthorsebatterystable</pass> </db> <log> <file>/var/log/cool_project.log</file> <level>INFO</level> </log></config>
cfg = Config('theabove.xml')
This yields objectcfg
with attributeconfig
, which is the complete dictionary.
db:url:mydburl.comname:mydbnameuser:myusernamepass:correcthorsebatterystablelog:file:/var/log/cool_project.loglevel:INFO
cfg = Config('theabove.yaml')
This yields objectcfg
with attributesdb
andlog
, each of which are dictionaries. This is the exact same behaviour as json, which makes sense given the close relationship of yaml and json.
It is possible to use gpg to store PGP and KMS encrypted secrets in a config file.
db:host:db.heck.yapass:| -----BEGIN PGP MESSAGE----- Version: GnuPG v2 hQIMAzf92ZrOUZL3ARAAgWexav8+pc2lnqISEuQafFZrqYI0pU3xCuMXnFZp+hpU gb0LsaExZ136p4ATIinFHuaLt94hFx7gULgqoSigt/2fubnUCsOGedq122xYZdtV Ep/24WPVQPcMVIP9pDTJTk82A41BQsOrVYorAGjjB13zFizizYHApNTcWKr4/gfR jmCqAX5qusXB84fXBecCJ886uEQI2v7+Vxnk+fQMqNt3ybd/uLuBLShMSygr6uLX zktyeZvP2QqPSWe0OpttdcvD792/SI/CTznsjbMe0wr1L81csEQcj++4o5wJop3Y mbQvG/FxeDdRi2aCxh7JK2xdCsrQzXKTNG2QZMwWqatB5Lb6lJ1mNiJQGX2YK+nI lbjy5Cp2lHlNxa9QfB+KglueMnH9gDku5YqBDos6rCEuqK/aTDdMx0V7YGYTamZ3 3Za+OGi+hl/+4WX2gm+bOM2WWrIysiu9k1HMI1/onui/3hr1nClR8rGb4a5qDlpg yRrt7LuLRU4vGXpYm05dXlUeI3uT04ur/DwLo32ujnPo3dc8LFegX8N8p1LLS9vq vvrvXRnWsgeAvAYFBprbEYcz7sOU04HM9OGcyjYREMs3Ih6H2oBi3GavJ2x0MG75 M9JSTu/yytD8GCM3s+3RncKuEAxfZIk1Gbdz0pjb+U6G43qq8/vQPKtKuAeqJHDS SAER9YkKqbp0y85LbhUWNWPpHQ2zy8WB71TfYE6vBP5qjoxiqP/QGWjT/3jhCY+t 5k7R6XqvdvbSu1avFlEgApknzn94I+gsWQ== =QuDe -----END PGP MESSAGE-----
If you are using json, you'll need newlines. I achieved the following example withcat the_above.yaml | seria -j -
.
{"db": {"host":"db.heck.ya","pass":"-----BEGIN PGP MESSAGE-----\nVersion: GnuPG v2\n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\n5k7R6XqvdvbSu1avFlEgApknzn94I+gsWQ==\n=QuDe\n-----END PGP MESSAGE-----" }}
To store a KMS secret, just add the_kms
key to the configuration file.
db:host:db.heck.yapass:_kms:your KMS encrypted value
Seebelow for instructions on generating this value.
That's easy, right? Now this value will be decrypted and available just like you had typed in the value in the configuration file.
These can also be passed in as arguments when initializing.
aws_config= {'aws_access_key_id':aws_access_key_id,'aws_secret_access_key':aws_secret_access_key,'region_name':'us-east-1'}gpg_config= {'homedir':'noplace/like/home','keyring':'pubring.kbx'}cfg=figgypy.Config('config.yaml',aws_config=aws_config,gpg_config=gpg_config)
echo -n "Your super secret password" | gpg --encrypt --armor -r KEY_ID
Add the resulting armor to your configuration where necessary. If you are using yaml, this is very simple. Here is an example:
aws kms encrypt --key-id 'alias/your-key' --plaintext "your secret" --query CiphertextBlob --output text
or the preferred method:
fromfiggypy.utilimportkms_encryptencrypted=kms_encrypt('your secret','key or alias/key-alias',optional_aws_config)
This tool usesSeria to serialize between supported formats. Seria is a great tool if you want convert json, xml, or yaml to another of the same three formats.
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A simple configuration parser for Python