Failure in accessing views with TimeFrame

[1192119703jzx]

Bug Description

When I run the app.py with an input mmif file with a view containing timeframe, it returns keyError: http://mmif.clams.ai/vocabulary/TimeFrame/v5

The following line of code caused the bug:

views_with_tframe = [v for v in mmif.get_views_for_document(videodocument.id) if v.metadata.contains[AnnotationTypes.TimeFrame]]

There are two potential issues with this line of code. First, for some input mmif files, they don't have the corresponding property "document": "d1" in their views with timeframe. This would cause the code be unable to capture the views that have timeframe using the code mmif.get_views_for_document(videodocument.id)
Second, v.metadata.contains[AnnotationTypes.TimeFrame]will always cause the keyError because when there isn't such a key "http://mmif.clams.ai/vocabulary/TimeFrame/v5" in the dictionary named "contains", it will return KeyError.

Reproduction steps

Run the app with an input miff file with a view containing timeframe.

Expected behavior

No response

Log output

No response

Screenshots

Traceback (most recent call last):
File "/home/zixinjiang/east/lib64/python3.9/site-packages/clams/restify/init.py", line 146, in post
return self.json_to_response(self.cla.annotate(raw_data, **raw_params))
File "/home/zixinjiang/east/lib64/python3.9/site-packages/clams/app/init.py", line 151, in annotate
annotated = self._annotate(mmif, **refined)
File "/home/zixinjiang/app-east-textdetection/app2.py", line 46, in _annotate
mmif = self.run_on_video(mmif, videodocument, new_view, **parameters)
File "/home/zixinjiang/app-east-textdetection/app2.py", line 94, in run_on_video
views_with_tframe = [v for v in mmif.get_views_for_document(videodocument.id)
File "/home/zixinjiang/app-east-textdetection/app2.py", line 95, in
if v.metadata.contains[AnnotationTypes.TimeFrame]]
File "/home/zixinjiang/east/lib64/python3.9/site-packages/mmif/serialize/model.py", line 477, in getitem
return self._items.getitem(key)
KeyError: http://mmif.clams.ai/vocabulary/TimeFrame/v5

Additional context

This bug could be solved by changing the code in such a way:

views_with_tframe = mmif.get_views_contain(AnnotationTypes.TimeFrame)