Python is heavily based on its core data types, and dict is one of the more
important ones. Even classes are basically a wrapper around a dict. This
converts metadata.App to be a subclass of dict so it can behave like a dict
when being dumped and loaded. This makes its drastically easier to use
different data formats for build metadata and for sending data to the
client. This approach will ultimately mean we no longer have to maintain
custom parsing and dumping code.
This also means then that the YAML/JSON field names will not have spaces in
them, and they will match exactly what it used as the dict keys once the
data is parsed, as well as matching exactly the instance attribute names:
* CurrentVersion: 1.2.6
* app['CurrentVersion'] == '1.2.6'
* app.CurrentVersion == '1.2.6'
Inspired by:
https://goodcode.io/articles/python-dict-object/
This puts all of the needed post parsing checks on the metadata into a
single method that is used by all parsing methods (.txt, JSON, XML, YAML).
This provides the single place to normalize the internal representation of
the metadata.
It would be good to also change the internal representation to use more Python
bool/int types so that less post parsing is needed for JSON, XML, and YAML.
The SMSSecure test .pickle was changed to account for the use of lstrip()
and rstrip() on all 'script' types.
This also changes the example JSON to use ints for versionCodes
The .pickle was created by dumping the output from parsing the current .txt
metadata for org.adaway. The JSON started from that pickle dump, but was
then hand edited to be more proper JSON, e.g. using boolean values.
