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If the user has the file content in a buffer it is more efficient to be
able to hand it to the analyzer directly instead of writing it out into
a temporary file just to be read back in again by the requests module.
Add an observable key 'dataProvided' which can be set to True to change
behaviour of run_by_id() and in turn run_by_name() so it uses the 'data'
key as observable data directly instead of interpreting it as a file
name and opening that file.

I didn't want to change behaviour for compatibility which is why I added that new flag key 'dataProvided'. I don't much like it though and would be happy to implement any other logic that'd be acceptable, e.g. using isinstance() to detect if 'data' is a file-like.

I plan to use this functionality here: https://github.com/michaelweiser/PeekabooAV/blob/cf02ed3a891058c669fe8e54b35d352f197f617e/peekaboo/toolbox/cortex.py#L152

If the user has the file content in a buffer it is more efficient to be
able to hand it to the analyzer directly instead of writing it out into
a temporary file just to be read back in again by the requests module.
Add an observable key 'dataProvided' which can be set to True to change
behaviour of run_by_id() and in turn run_by_name() so it uses the 'data'
key as observable data directly instead of interpreting it as a file
name and opening that file.

Signed-off-by: Michael Weiser <michael.weiser@gmx.de>
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