Generify

Added
- Generify custom encoder class
python
class GenerifyCustomEncoder(GenerifyEncoder):
def default(self, obj, path):
if isinstance(obj, datetime):
return obj.isoformat()
else:
return GenerifyEncoder.default(self, obj, path)
...
ret = generify({"a": 1, "b": Scalar()}, cls=GenerifyCustomEncoder)


Fixed
- Iterable handling convertion to list.
- pandas DataFrame index with objects handling, handle as iterable

- generify raise_getattr_exception flag, raising GenerifyGetAttrException of failure:
python
generic_obj = generify(obj, raise_getattr_exception=True)

Added
- generify raise_exception flag, raising GenerifyException of failure:
python
generic_obj = generify(obj, raise_exception=True)

- generify raise_getattr_exception flag, raising GenerifyGetAttrException of failure:
python
generic_obj = generify(obj, raise_getattr_exception=True)


Changed
Fixed
- fix list inplace change to content.

Added
- GenerifyJSONEncouder. usage:
python
from generify import generify, GenerifyJSONEncoder
...
generic_obj = generify(obj)
json.dumps(generic_obj, cls=GenerifyJSONEncoder)
...

Changed
Fixed
- fix handling namedtuples, keeping generified result as named tuples.

Added
generifies python classes to generic dict containing only python internals, numpy arrays and panda lists.
Usage example:
python
from generify import generify
...
generic_obj = generify(obj)
...


Changed
Fixed