marcelrobeer / visualnarrator Goto Github PK

I need some help to extract conceptual models from user stories using Stanford CoreNLP library for java.

Hello, I am trying to use the attached file with user stories to get an output but I am getting the below specified error.

Traceback (most recent call last):
File "run.py", line 6, in
main()
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\cli.py", line 104, in main
stories = Reader.parse(args.filename))
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\vn.py", line 101, in run
self._get_gen(us_instances, m, systemname, print_ont, log_time=self.time)
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\utils\utility.py", line 78, in timed
result = method(*args, **kw)
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\vn.py", line 239, in _get_gen
out = patterns.make(systemname, self.threshold, self.link)
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\pattern.py", line 26, in make
self.onto = pf.make_patterns(self.user_stories, threshold)
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\pattern.py", line 229, in make_patterns
pi.identify(story)
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\pattern.py", line 339, in identify
self.identify_subj_dobj(story, 'ends')
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\pattern.py", line 421, in identify_subj_dobj
w_do = [self.getwt(x) for x in do]
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\pattern.py", line 421, in
w_do = [self.getwt(x) for x in do]
File "C:\Code\Machine Learning\IIM\VisualNarrator-master\VisualNarrator-master\vn\pattern.py", line 477, in getwt
if str.lower(token.text) == str.lower(wt.token.text):
AttributeError: 'NoneType' object has no attribute 'text'
g10-scrumalliance.txt

Please guide me that what is the usage method or command with arguments? Tried many times but showing errors. I've installed libraries according to recommendations. Please help me, im new in python.

Hi,

I'm using the example set of story given with the tool.

For the following story: "As a Visitor, I want to filter on event type, so that I can only see events of the type I want.", the tool exports the following JSON file using the --json option:

{ 'number': 1, 
  'text': 'As a Visitor, I want to filter on event type, so that I can only see events of the type I want.\n',
 'iloc': [3, 12, 20], 
'role': {'text': 'Visitor', 'indicator': 'As a'}, 
 'means': {'text': 'I can filter on event type', 'indicator': 'I want to'}}

Is it expected that the end ("_so that ...") is not available in the JSON file?

In requirements.txt numpy is listed as version 0.10.1 but this should be 1.10.1

VN should not have a hard stop when its NOT able to parse a single User story ..
SIAnalytics.txt

attached file is giving an error
Traceback (most recent call last):
File "run.py", line 6, in
main()
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\cli.py", line 104, in main
stories = Reader.parse(args.filename))
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\vn.py", line 101, in run
self._get_gen(us_instances, m, systemname, print_ont, log_time=self.time)
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\utils\utility.py", line 78, in timed
result = method(*args, **kw)
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\vn.py", line 240, in _get_gen
out = patterns.make(systemname, self.threshold, self.link)
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\pattern.py", line 26, in make
self.onto = pf.make_patterns(self.user_stories, threshold)
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\pattern.py", line 229, in make_patterns
pi.identify(story)
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\pattern.py", line 336, in identify
self.identify_func_role(story)
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\pattern.py", line 377, in identify_func_role
role.append(self.getwt(story.role.functional_role.main))
File "C:\Code\Machine Learning\IIM\VN-2\VisualNarrator-master (1)\VisualNarrator-master\vn\pattern.py", line 477, in getwt
if str.lower(token.text) == str.lower(wt.token.text):
AttributeError: 'NoneType' object has no attribute 'text'

How to open OMN file in protege? is it possible to open OMN file in protege?

Hello Marcel,

I was thinking if we can use Acceptance Criteria and add more information so that we can make it more comprehensive .. Any thoughts on this?

Raising this as a defect only to communicate with you.

regards,
Ashwar
[email protected]

I tried to run the software against this sentence :

As a Researcher I want to be able to reference a remote controlled vocabulary for my dataset so that I can be sure that columns of my tabular dataset are valid against a single shared list of terms.

and I get the following error :

Traceback (most recent call last):
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1434, in _has_valid_type
error()
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1429, in error
(key, self.obj._get_axis_name(axis)))
KeyError: 'the label [I] is not in the [index]'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/bikashg/Desktop/remote/userstories/lib/VisualNarrator/run.py", line 323, in
program()
File "/home/bikashg/Desktop/remote/userstories/lib/VisualNarrator/run.py", line 311, in program
return main(args.filename, args.system_name, args.print_us, args.print_ont, args.statistics, args.link, args.prolog, args.json, args.per_role, args.threshold, args.base_weight, weights, spacy_nlp)
File "/home/bikashg/Desktop/remote/userstories/lib/VisualNarrator/run.py", line 84, in main
matrices = matrix.generate(us_instances, ' '.join(success_stories), nlp)
File "/home/bikashg/Desktop/remote/userstories/lib/VisualNarrator/vn/matrix.py", line 41, in generate
w_us = self.remove_indicators(w_us, stories, nlp)
File "/home/bikashg/Desktop/remote/userstories/lib/VisualNarrator/vn/matrix.py", line 241, in remove_indicators
if matrix.loc[indicator, 'sum'] > 0:
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1325, in getitem
return self._getitem_tuple(key)
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 836, in _getitem_tuple
return self._getitem_lowerdim(tup)
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 967, in _getitem_lowerdim
section = self._getitem_axis(key, axis=i)
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1551, in _getitem_axis
self._has_valid_type(key, axis)
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1442, in _has_valid_type
error()
File "/home/bikashg/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py", line 1429, in error
(key, self.obj._get_axis_name(axis)))
KeyError: 'the label [I] is not in the [index]'

Hi,

I tried to use VisualNarrator while keeping a link between concepts and stories. However, when running the tool using the -l option, it generates an error at runtime:

azrael:tmp mosser$ python run.py output/example_stories.txt -p -l 
Initializing Natural Language Processor. . .
Traceback (most recent call last):
  File "run.py", line 314, in <module>
    program()
  File "run.py", line 302, in program
    return main(args.filename, args.system_name, args.print_us, args.print_ont, args.statistics, args.link, args.prolog, args.json, args.per_role, args.threshold, args.base_weight, weights, spacy_nlp)
  File "run.py", line 97, in main
    out = patterns.make(systemname, threshold, link)
  File "/usr/src/app/vn/pattern.py", line 26, in make
    self.link_to_story(self.onto.classes, self.user_stories)
  File "/usr/src/app/vn/pattern.py", line 46, in link_to_story
    parts = self.get_parts(cl.name, s)
  File "/usr/src/app/vn/pattern.py", line 143, in get_parts
    ends_compounds = flatten(story.ends.compounds)
NameError: name 'flatten' is not defined

Any ideas?

Ps. In the meanwhile, I can rely on the generated prolog file to recreate this information.

The --json option does not export regular JSON contents:

For example, the story "As a Visitor, I want to filter on event type, so that I can only see events of the type I want." is exported as the following:

{'number': 1, 'text': 'As a Visitor, I want to filter on event type, so that I can only see events of the type I want.\n', 'iloc': [3, 12, 20], 'role': {'text': 'Visitor', 'indicator': 'As a'}, 'means': {'text': 'I can filter on event type', 'indicator': 'I want to'}}

The JSON standard expects double quotes instead of single quotes.

{
   "number":1,
   "text":"As a Visitor, I want to filter on event type, so that I can only see events of the type I want.\n",
   "iloc":[
      3,
      12,
      20
   ],
   "role":{
      "text":"Visitor",
      "indicator":"As a"
   },
   "means":{
      "text":"I can filter on event type",
      "indicator":"I want to"
   }
}