Java Property file parser and writer for Python
jProperties is a Java Property file parser and writer for Python. It aims to provide the same functionality as Java’s Properties class, although currently the XML property format is not supported.
Table of Contents
Objects of the type Properties can be used like a Python dictionary (but see Caveats below). The load() method populates the object by parsing input in the Java Property file format; the store() method writes the key-value pairs stored in the object to a stream in the same format.
The load() and store() methods both take an encoding parameter. By default this is set to iso-8859-1, but it can be set to any encoding supported by Python, including e. g. the widely used utf-8.
from jproperties import Properties p = Properties() with open("foobar.properties", "rb") as f: p.load(f, "utf-8")
That’s it, p now can be used like a dictionary containing properties from foobar.properties.
from jproperties import Properties p = Properties() p["foobar"] = "A very important message from our sponsors: Python is great!" with open("foobar.properties", "wb") as f: p.store(f, encoding="utf-8")
from jproperties import Properties with open("foobar.properties", "r+b") as f: p = Properties() p.load(f, "utf-8") # Do stuff with the p object... f.truncate(0) p.store(f, encoding="utf-8")
The property file parser supports including programmatically readable and settable metadata in property files. Metadata for a key is represented as a Python dictionary; the keys and values of this dictionary should be strings, although when the property file is written, all non-string objects will be converted to strings. This is a one-way conversion; when the metadata is read back again during a load(), all keys and values will be treated as simple strings.
By default, the store() method does not write out the metadata. To enable that feature, set the keyword argument strip_meta=False when calling the method.
Note that metadata support is always enabled. The only thing that is optional is actually writing out the metadata.
Metadata keys beginning with two underscores (__) are not written to the output stream by the store() method. Thus, they can be used to attach “runtime-only” metadata to properties. Currently, however, metadata with such keys is still read from the input stream by load(); this should probably be considered erroneous behaviour.
Metadata support influences how Properties objects are used as dictionary objects:
- To set a value for a key, do prop_object[key] = value or prop_object[key] = value, metadata. The first form will leave the key’s metadata unchanged. You can also use the setmeta() method to set a key’s metadata.
- To get the value of a key, do value, metadata = prop_object[key]. If there is no metadata for a key, metadata will be an empty dictionary. To retrieve only the metadata for a key, the getmeta() method can be used.
- When used as an iterator, Properties objects will simply return all keys in an unspecified order. No metadata is returned (but can be retrieved using getmeta()).
The internal dictionary holding the key-value pairs can be accessed using the properties property. Deleting that property deletes all key-value pairs from the object.
However, modifying properties using this special property will not modify metadata in any way. That means that deleting properties by doing del prop_obj.properties[key] will not remove the associated metadata from the object. Instead, do del prop_obj[key].
The properties property is nevertheless useful to set many default values before parsing a property file:
from jproperties import Properties prop_obj = Properties() prop_obj.properties = a_big_dictionary_with_defaults file_obj = codecs.open("foobar.properties", "rb", "iso-8859-1") prop_obj.load(file_obj, encoding=None)
- Python 3 support! Thanks to @tboz203, who did a lot of the work. (#1)
- Drop support for Python 2.6.
- This is the first “proper” PyPI release, with proper PyPI metadata and proper PyPI distributions. Nothing else has changed.
- Initial release
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