def testRBLoop(self):
logging.getLogger().setLevel(logging.WARN)
ConfigReader()
wf = Workflow()
rb = ReviewRBInit(name="rb_review_init")
wf.append(rb)
rv = ReviewRBLoop(name='rb_review')
wf.append(rv)
wf.append(
PreviousNextHTML(
'<h2>Welcome to SmartAnno!</h2><h4>First, let's import txt data from a directory. </h4>',
name='intro'))
wf.filters = {'TypeA': ['heart'], 'TypeB': ['exam']}
wf.types = ['TypeA', 'TypeB']
wf.task_id = 1
wf.umls_extended = {}
wf.we_extended = {}
wf.dao = Dao('sqlite+pysqlite:///data/demo.sqlite',
sqlalchemy_dao.POOL_DISABLED)
wf.start()
if len(rb.branch_buttons) == 0:
# if no records in the db, the optional buttons won't show
rb.sample_size_input.value = 3
rb.complete()
wf.start()
print([doc.DOC_ID for doc in rb.data['docs']])
print([
anno.REVIEWED_TYPE for anno in wf.steps[0].data['annos'].values()
])
rb.sample_size_input.value = 1
rb.navigate(rb.branch_buttons[1])
pass
from SmartAnno.utils.KeywordsFiltering import KeywordsFiltering
from SmartAnno.gui.PreviousNextWidgets import PreviousNextHTML
from SmartAnno.utils.ReviewRBInit import ReviewRBInit
from SmartAnno.utils.ReviewRBLoop import ReviewRBLoop
from SmartAnno.utils.ReviewMLInit import ReviewMLInit
from SmartAnno.utils.ReviewMLLoop import ReviewMLLoop
from SmartAnno.models.logistic.LogisticBOWClassifiers import LogisticBOWClassifier
from SmartAnno.utils.DataSetChooser import DataSetChooser
logging.getLogger().setLevel(logging.DEBUG)
ConfigReader('../conf/smartanno_conf.json')
wf = Workflow(config_file=ConfigReader.config_file)
wf.api_key = ConfigReader.getValue("api_key")
wf.dao = Dao('sqlite+pysqlite:///../data/test.sqlite',
sqlalchemy_dao.POOL_DISABLED)
wf.task_name = 'language'
wf.append(
AnnotationTypeDef(
'<h3>Annotation types:</h3><p>List all the types you want to identify below. Each type per line.<br/>If you'
'have too many types, try set up them separately, so that you won't need to choose from a long list '
'for each sample. </p>',
name='types'))
wf.append(KeywordsFiltering(name='keywords'))
wf.append(
DataSetChooser(
name='dataset_chooser',
description='<h4>Choose which dateaset you want to use: </h4>'))
rb = ReviewRBInit(name="rb_review_init")
wf.append(rb)
rv = ReviewRBLoop(name='rb_review', rush_rule='../conf/rush_rules.tsv')