python-anyconfig
Introduction
python-anyconfig [1] is a python library provides common APIs to load and dump configuration files in various formats with some useful features such as contents merge, templates, query, schema validation and generation support.
- Home: https://github.com/ssato/python-anyconfig
- Author: Satoru SATOH <[email protected]>
- License: MIT licensed
- Document: http://python-anyconfig.readthedocs.org/en/latest/
- Download:
[1] | This name took an example from the 'anydbm' python standard library. |
Features
python-anyconfig provides very simple and unified APIs to process configuration files in various formats and related functions:
Loading configuration files:
- anyconfig.load (path_specs, ac_parser=None, ac_dict=None, ac_template=False, ac_context=None, **options)
loads configuration data from path_specs. path_specs may be a list of file paths, files or file-like objects, ~pathlib.Path class object, a namedtuple ~anyconfig.globals.IOInfo objects represents some inputs to load data from, and return a dict or dict like object, or a primitive types' data other than dict represents loaded configuration.
- anyconfig.loads (content, ac_parser=None, ac_dict=None, ac_template=False, ac_context=None, **options)
loads configuration data from a string just like json.loads does.
Dumping configuration files:
- anyconfig.dump (data, out, ac_parser=None, **options)
dumps a configuration data data in given format to the output out, may be a file, file like object.
- anyconfig.dumps (data, ac_parser=None, **options)
dumps a configuration data loaded from a string
Open configuration files:
- anyconfig.open (path, mode=None, ac_parser=None, **options)
open configuration files with suitable flags and return file/file-like objects, and this object can be passed to the anyconfig.load().
Merge dicts:
- anyconfig.merge (self, other, ac_merge=MS_DICTS, **options)
Update (merge) a mapping object 'self' with other mapping object 'other' or an iterable 'other' yields (key, value) tuples according to merge strategy 'ac_merge'.
Schema validation and generation of configuration files:
- anyconfig.validate (data, schema, ac_schema_safe=True, ac_schema_errors=False, **options)
validates configuration data loaded with anyconfig.load() with JSON schema [2] object also loaded with anyconfig.load(). anyconfig.load() may help loading JSON schema file[s] in any formats anyconfig supports.
- anyconfig.gen_schema (data, **options)
generates a mapping object represents a minimum JSON schema to validate configuration data later. This result object can be serialized to any formats including JSON with anyconfig.dump or anyconfig.dumps.
It enables to load configuration file[s] in various formats in the same manner, and in some cases, even there is no need to take care of the actual format of configuration file[s] like the followings:
import anyconfig
# Config type (format) is automatically detected by filename (file
# extension) in some cases.
conf1 = anyconfig.load("/path/to/foo/conf.d/a.yml")
# Similar to the above but the input is pathlib.Path object.
import pathlib
path_1 = pathlib.Path("/path/to/foo/conf.d/a.yml")
conf1_1 = anyconfig.load(path_1)
# Similar to the first one but load from file object opened:
with anyconfig.open("/path/to/foo/conf.d/a.yml") as fileobj:
conf1_2 = anyconfig.load(fileobj)
# Loaded config data is a mapping object, for example:
#
# conf1["a"] => 1
# conf1["b"]["b1"] => "xyz"
# conf1["c"]["c1"]["c13"] => [1, 2, 3]
# Or you can specify the format (config type) explicitly if its automatic
# detection may not work.
conf2 = anyconfig.load("/path/to/foo/conf.d/b.conf", ac_parser="yaml")
# Likewise.
with anyconfig.open("/path/to/foo/conf.d/b.conf") as fileobj:
conf2_2 = anyconfig.load(fileobj, ac_parser="yaml")
# Specify multiple config files by the list of paths. Configurations of each
# files will be merged.
conf3 = anyconfig.load(["/etc/foo.d/a.json", "/etc/foo.d/b.json"])
# Similar to the above but all or one of config file[s] might be missing.
conf4 = anyconfig.load(["/etc/foo.d/a.json", "/etc/foo.d/b.json"],
ac_ignore_missing=True)
# Specify config files by glob path pattern:
conf5 = anyconfig.load("/etc/foo.d/*.json")
# Similar to the above, but parameters in the former config file will be simply
# overwritten by the later ones instead of merge:
conf6 = anyconfig.load("/etc/foo.d/*.json", ac_merge=anyconfig.MS_REPLACE)
Also, it can process configuration files which are jinja2-based template files:
- Enables to load a substantial configuration rendered from half-baked configuration template files with given context
- Enables to load a series of configuration files indirectly 'include'-d from a/some configuration file[s] with using jinja2's 'include' directive.
In [1]: import anyconfig
In [2]: open("/tmp/a.yml", 'w').write("a: {{ a|default('aaa') }}\n")
In [3]: anyconfig.load("/tmp/a.yml", ac_template=True)
Out[3]: {'a': 'aaa'}
In [4]: anyconfig.load("/tmp/a.yml", ac_template=True, ac_context=dict(a='bbb'))
Out[4]: {'a': 'bbb'}
In [5]: open("/tmp/b.yml", 'w').write("{% include 'a.yml' %}\n") # 'include'
In [6]: anyconfig.load("/tmp/b.yml", ac_template=True, ac_context=dict(a='ccc'))
Out[6]: {'a': 'ccc'}
And python-anyconfig enables to validate configuration files in various formats with using JSON schema like the followings:
# Validate a JSON config file (conf.json) with JSON schema (schema.yaml).
# If validatation succeeds, `rc` -> True, `err` -> ''.
conf1 = anyconfig.load("/path/to/conf.json")
schema1 = anyconfig.load("/path/to/schema.yaml")
(rc, err) = anyconfig.validate(conf1, schema1) # err is empty if success, rc == 0
# Validate a config file (conf.yml) with JSON schema (schema.yml) while
# loading the config file.
conf2 = anyconfig.load("/a/b/c/conf.yml", ac_schema="/c/d/e/schema.yml")
# Validate config loaded from multiple config files with JSON schema
# (schema.json) while loading them.
conf3 = anyconfig.load("conf.d/*.yml", ac_schema="/c/d/e/schema.json")
# Generate jsonschema object from config files loaded and get string
# representation.
conf4 = anyconfig.load("conf.d/*.yml")
scm4 = anyconfig.gen_schema(conf4)
scm4_s = anyconfig.dumps(scm4, "json")
And you can query loaded data with JMESPath [3] expressions:
In [2]: dic = dict(a=dict(b=[dict(c="C", d=0)]))
In [3]: anyconfig.loads(anyconfig.dumps(dic, ac_parser="json"),
...: ac_parser="json", ac_query="a.b[0].c")
Out[3]: u'C'
In [4]:
And in the last place, python-anyconfig provides a CLI tool called anyconfig_cli to process configuration files and:
- Convert a/multiple configuration file[s] to another configuration files in different format
- Get configuration value in a/multiple configuration file[s]
- Validate configuration file[s] with JSON schema
- Generate minimum JSON schema file to validate given configuration file[s]
[2] | http://json-schema.org |
[3] | http://jmespath.org |
Supported configuration formats
python-anyconfig supports various file formats if requirements are satisfied and backends in charge are enabled and ready to use:
- Always supported formats of which backends are enabled by default:
Format | Type | Requirement |
---|---|---|
JSON | json | json (standard lib) or simplejson [4] |
Ini-like | ini | configparser (standard lib) |
Pickle | pickle | pickle (standard lib) |
XML | xml | ElementTree (standard lib) |
Java properties [5] | properties | None (native implementation with standard lib) |
B-sh | shellvars | None (native implementation with standard lib) |
- Supported formats of which backends are enabled automatically if requirements are satisfied:
Format | Type | Requirement |
---|---|---|
YAML | yaml | ruamel.yaml [6] or PyYAML [7] |
TOML | toml | toml [8] |
- Supported formats of which backends are enabled automatically if required plugin modules are installed: python-anyconfig utilizes plugin mechanism provided by setuptools [9] and may support other formats if corresponding plugin backend modules are installed along with python-anyconfig:
Format | Type | Required backend |
---|---|---|
Amazon Ion | ion | anyconfig-ion-backend [10] |
BSON | bson | anyconfig-bson-backend [11] |
CBOR | cbor | anyconfig-cbor-backend [12] or anyconfig-cbor2-backend [13] |
ConifgObj | configobj | anyconfig-configobj-backend [14] |
MessagePack | msgpack | anyconfig-msgpack-backend [15] |
The supported formats of python-anyconfig on your system are able to be listed by 'anyconfig_cli -L' like this:
$ anyconfig_cli -L
Supported config types: bson, configobj, ini, json, msgpack, toml, xml, yaml
$
or with the API 'anyconfig.list_types()' will show them:
In [8]: anyconfig.list_types()
Out[8]: ['bson', 'configobj', 'ini', 'json', 'msgpack', 'toml', 'xml', 'yaml']
In [9]:
[4] | https://pypi.python.org/pypi/simplejson |
[5] | ex. https://docs.oracle.com/javase/7/docs/api/java/util/Properties.html |
[6] | https://pypi.python.org/pypi/ruamel.yaml |
[7] | https://pypi.python.org/pypi/PyYAML |
[8] | https://pypi.python.org/pypi/toml |
[9] | http://peak.telecommunity.com/DevCenter/setuptools#dynamic-discovery-of-services-and-plugins |
[10] | https://pypi.python.org/pypi/anyconfig-ion-backend |
[11] | https://pypi.python.org/pypi/anyconfig-bson-backend |
[12] | https://pypi.python.org/pypi/anyconfig-cbor-backend |
[13] | https://pypi.python.org/pypi/anyconfig-cbor2-backend |
[14] | https://pypi.python.org/pypi/anyconfig-configobj-backend |
[15] | https://pypi.python.org/pypi/anyconfig-msgpack-backend |
Installation
Requirements
Many runtime dependencies are resolved dynamically and python-anyconfig just disables specific features if required dependencies are not satisfied. Therefore, only python standard library is required to install and use python-anyconfig at minimum.
The following packages need to be installed along with python-anyconfig to enable the features.
Feature | Requirements | Notes |
---|---|---|
YAML load/dump | ruamel.yaml or PyYAML | ruamel.yaml will be used instead of PyYAML if it's available to support the YAML 1.2 specification. |
TOML load/dump | toml | none |
BSON load/dump | bson | bson from pymongo package may work and bson [16] does not |
Template config | Jinja2 [17] | none |
Validation with JSON schema | jsonschema [18] | Not required to generate JSON schema. |
Query with JMESPath expression | jmespath [19] | none |
[16] | https://pypi.python.org/pypi/bson/ |
[17] | https://pypi.python.org/pypi/Jinja2/ |
[18] | https://pypi.python.org/pypi/jsonschema/ |
[19] | https://pypi.python.org/pypi/jmespath/ |
How to install
There is a couple of ways to install python-anyconfig:
Binary RPMs:
If you're running Fedora 27 or later, or CentOS, you can install RPMs from these official yum repos. And if you're running Red Hat Enterprise Linux 7 or later, you can install RPMs from EPEL repos [20] .
Or if you want to install the latest version, optionally, you can enable my copr repo, http://copr.fedoraproject.org/coprs/ssato/python-anyconfig/ .
PyPI: You can install python-anyconfig from PyPI with using pip:
$ pip install anyconfig
pip from git repo:
$ pip install git+https://github.com/ssato/python-anyconfig/
Build RPMs from source: It's easy to build python-anyconfig with using rpm-build and mock:
# Build Source RPM first and then build it with using mock (better way) $ python setup.py bdist_rpm --source-only && mock dist/python-anyconfig-<ver_dist>.src.rpm
or
# Build Binary RPM to install $ python setup.py bdist_rpm
and install RPMs built.
Build from source: Of course you can build and/or install python modules in usual way such like 'python setup.py bdist'.
[20] | Thanks to Brett-san! https://src.fedoraproject.org/rpms/python-anyconfig/ |
Help and feedbak
If you have any issues / feature request / bug reports with python-anyconfig, please open issue tickets on github.com, https://github.com/ssato/python-anyconfig/issues.
The following areas are still insufficient, I think.
- Make python-anyconfig robust for invalid inputs
- Make python-anyconfig scalable: some functions are limited by max recursion depth.
- Make python-anyconfig run faster: current implementation might be too complex and it run slower than expected as a result.
- Documentation:
- Especially API docs need more fixes and enhancements! CLI doc is non-fulfilling also.
- English is not my native lang and there may be many wrong and hard-to-understand expressions.
Any feedbacks, helps, suggestions are welcome! Please open github issues for these kind of problems also!