def result(request, task_id=None):
# read from celery the results
# save CSV file
task_results = celery_app.AsyncResult(task_id).get()
scoring_df = pd.read_csv(StringIO(task_results))
scoring_df = scoring_df.fillna('')
scoring_results_table = ScoringTable(scoring_df.to_dict('records'))
config = RequestConfig(request)
config.paginate = False
config.configure(scoring_results_table)
return render_to_response('review_scoring/result.html',
{"scoring_results": scoring_results_table,
"task_id": task_id,
"scoring_plot": create_html_plot_tooltip(scoring_df)},
context_instance=RequestContext(request))
def result(request, task_id=None):
# read from celery the results
# save CSV file
task_results = celery_app.AsyncResult(task_id).get()
scoring_df = pd.read_csv(StringIO(task_results))
scoring_df = scoring_df.fillna('')
scoring_results_table = ScoringTable(scoring_df.to_dict('records'))
config = RequestConfig(request)
config.paginate = False
config.configure(scoring_results_table)
return render_to_response(
'review_scoring/result.html', {
"scoring_results": scoring_results_table,
"task_id": task_id,
"scoring_plot": create_html_plot_tooltip(scoring_df)
},
context_instance=RequestContext(request))
def result(request, task_id=None):
# read from celery the results
# save CSV file
from reviewer_assignment_website import celery_app
from StringIO import StringIO
task_results = celery_app.AsyncResult(task_id).get()
assignment_df = pd.read_csv(StringIO(task_results))
assignment_df = assignment_df.fillna('')
reviewer_assignments_table = AssignmentTable(
assignment_df.to_dict('records'))
config = RequestConfig(request)
config.paginate = False
config.configure(reviewer_assignments_table)
return render_to_response('review_assign/result.html', {
"reviewer_assignments": reviewer_assignments_table,
"task_id": task_id
},
context_instance=RequestContext(request))
