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a/OSSEval/analysis/views.py |
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b/OSSEval/analysis/views.py |
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from django.utils import simplejson, timezone
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from django.utils import simplejson, timezone
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from django.views.generic import ListView
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from django.views.generic import ListView
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from xml.dom import minidom
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from xml.dom import minidom
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from forms import AnalysisForm, UploadFileForm, ImportChoice
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from forms import AnalysisForm, UploadFileForm, ImportChoice
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from analysis.models import Analysis, Configuration, Instance, UploadedFile, Answer
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from analysis.models import Analysis, Configuration, Instance, UploadedFile, Answer, Methodology, MethodologyVersion, Question, Page
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from methodology.models import Methodology, MethodologyVersion, Question, Page
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#from methodology.models import Methodology, MethodologyVersion, Question, Page
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from OSSEval.utils import xmlMinidom, TrivialJSONEncoder, SearchEngine
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from OSSEval.utils import xmlMinidom, TrivialJSONEncoder, SearchEngine
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def analysis_new(request, analysis_id=0):
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def analysis_new(request, analysis_id=0):
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if request.method == "POST":
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if request.method == "POST":
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form = AnalysisForm(request.POST)
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form = AnalysisForm(request.POST)
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return render(request, 'analysis/analysis_questions.html', {'analysis': analysis, 'analysis_detail': analysis_detail, 'methodology_version': analysis.methodology_version})
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return render(request, 'analysis/analysis_questions.html', {'analysis': analysis, 'analysis_detail': analysis_detail, 'methodology_version': analysis.methodology_version})
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def analysis_report(request, analysis_id):
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def analysis_report(request, analysis_id):
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analysis = get_object_or_404(Analysis, pk=analysis_id)
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analysis = get_object_or_404(Analysis, pk=analysis_id)
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analysis.calculate_scores()
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# print "I am in view 'analysis_report'; page: " + analysis.methodology_version.page_set.all()[0].name
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# print "has radar_chart: " + analysis.methodology_version.page_set.all()[0].radar_chart[:100]
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# print "has pippo: " + analysis.methodology_version.page_set.all()[0].pippo
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td_width = 100 / (1 + len(analysis.instance_set.all()))
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return render(request, 'analysis/analysis_report.html', {'analysis': analysis})
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return render(request, 'analysis/analysis_report.html', {'analysis': analysis, 'td_width': td_width})
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def save_answer(request):
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def save_answer(request):
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try:
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try:
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question_id = request.POST.get("question_id", "")
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question_id = request.POST.get("question_id", "")
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id_selected_instance = request.POST.get("id_selected_instance", "")
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id_selected_instance = request.POST.get("id_selected_instance", "")
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#eval python; python code assumes that all the information is in a structure called "i" which stands for "instance"
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#eval python; python code assumes that all the information is in a structure called "i" which stands for "instance"
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for question in list_of_questions:
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for question in list_of_questions:
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description = ""
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description = ""
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value = -1
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value = -1
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#run queries on search engine
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for query in question.query_set.all():
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description=""
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# eval_text defines the variable "description"
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exec(query.eval_text)
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sites = []
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# eval_site defines the variable "sites"
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exec(query.eval_site)
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search_count = str(SearchEngine.search_count(q, sites))
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search_url = SearchEngine.search_url(q, sites)
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search_engine_name = SearchEngine.search__engine_name()
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description += "<a target='_blank' href='" + search_url + "'>'" + SearchEngine.readable_query(q, sites) + "' on " + search_engine_name + ": (" + search_count + " results)</a><br>"
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# eval_description and eval_value might use the results from the above queries so have to be run after them
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exec(question.eval_description)
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exec(question.eval_description)
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exec(question.eval_value)
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exec(question.eval_value)
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#run queries on search engine
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for query in question.query_set.all():
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site = ""
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print query.eval_text
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exec(query.eval_text)
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print q
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print query.eval_site
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exec(query.eval_site)
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print site
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search_count = str(SearchEngine.search_count(q, site))
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search_url = SearchEngine.search_url(q, site)
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print "get_metadata search_url: " + search_url
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search_engine_name = SearchEngine.search__engine_name()
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description += "<a target='_blank' href='" + search_url + "'>'" + SearchEngine.readable_query(q, site) + "' on " + search_engine_name + ": (" + search_count + " results)</a><br>"
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q = {}
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q = {}
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q["question_id"] = question.id
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q["question_id"] = question.id
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print "question.id: " + str(question.id)
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q["description"] = description
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q["description"] = description
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q["value"] = value
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q["value"] = value
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metadata.append(q)
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metadata.append(q)
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#restituire la lista delle domande con le elaborazioni allegate
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#restituire la lista delle domande con le elaborazioni allegate
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