Beispiel #1
0
def index(page):
    page = page
    per_page = 10

    professor = ProfessorIndexForm()
    professores = Professor.query

    professor.descricao.data = request.args.get('descricao')
    professor.inicio.data = parse_date(
        request.args.get('inicio')) if request.args.get('inicio') else ''
    professor.fim.data = parse_date(
        request.args.get('fim')) if request.args.get('fim') else ''

    professores = professores.filter(
        Professor.descricao.ilike(sql_ilike_format(professor.descricao.data))
    ) if professor.descricao.data else professores
    professores = professores.filter(
        Professor.vencimento >= sql_date_format(professor.inicio.data)
    ) if professor.inicio.data else professores
    professores = professores.filter(
        Professor.vencimento <= sql_date_format(professor.fim.data)
    ) if professor.fim.data else professores

    professores = professores.order_by(Professor.codigo.desc()).paginate(
        page, per_page=per_page, error_out=True)

    return render_template('professores/index.html',
                           professores=professores,
                           titulo_form=professor)
Beispiel #2
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def get_attractions_aggregate(request):
    """
    Get average wait time of attractions
    ---
    nickname: AttractionsAggregate
    parameters:
        - name: startdate
          type: string
          in: query
          format: date-time
        - name: enddate
          format: date-time
          in: query
          type: string
        - name: attractions
          in: query
          type: array           
    """        
    attractionsParam = request.GET.get('attractions')
    if ',' in attractionsParam:
        myListAttractions = attractionsParam.split(',')
    else:
        myListAttractions = request.GET.getlist('attractions')
    start_date = parse_date(request.GET.get('startdate'))
    end_date = parse_date(request.GET.get('enddate'))
    docs = AttractionsDao.find_aggregate_attractions_between_date(myListAttractions,start_date, end_date)
    serializer = AggregateAttractionSerialize(data = docs, many=True)
    if serializer.is_valid():
        return Response(serializer.validated_data, status=status.HTTP_200_OK)
    else: 
        return Response(status=status.HTTP_400_BAD_REQUEST)
Beispiel #3
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def index(page):
    page = page
    per_page = 10

    disciplina = DisciplinaIndexForm()
    disciplinas = Disciplina.query

    disciplina.descricao.data = request.args.get('descricao')
    disciplina.inicio.data = parse_date(
        request.args.get('inicio')) if request.args.get('inicio') else ''
    disciplina.fim.data = parse_date(
        request.args.get('fim')) if request.args.get('fim') else ''

    disciplinas = disciplinas.filter(
        Disciplina.descricao.ilike(sql_ilike_format(disciplina.descricao.data))
    ) if disciplina.descricao.data else disciplinas
    disciplinas = disciplinas.filter(
        Disciplina.vencimento >= sql_date_format(disciplina.inicio.data)
    ) if disciplina.inicio.data else disciplinas
    disciplinas = disciplinas.filter(
        Disciplina.vencimento <= sql_date_format(disciplina.fim.data)
    ) if disciplina.fim.data else disciplinas

    disciplinas = disciplinas.order_by(Disciplina.codigo.desc()).paginate(
        page, per_page=per_page, error_out=True)

    return render_template('disciplinas/index.html',
                           disciplinas=disciplinas,
                           titulo_form=disciplina)
Beispiel #4
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Datei: api.py Projekt: yuecong/ok
    def create_submission(self, user, assignment, messages, submit, submitter):
        """
        Create submission using user as parent to ensure ordering.

        :param user: (object) caller
        :param assignment: (Assignment)
        :param messages: Data content of backup/submission
        :param submit: Whether this backup is a submission to be graded
        :param submitter: (object) caller or submitter
        :return: (Backup) submission
        """
        if not user.is_admin or not submitter:
            submitter = user.key

        message_date = None
        analytics = messages.get('analytics')
        if analytics:
            message_date = analytics.get('time', None)
        if message_date:
            created = parse_date(message_date)
        else:
            created = datetime.datetime.now()

        ms = lambda kind, message: models.Message(kind=kind, contents=message)
        db_messages = [ms(k, m) for k, m in messages.iteritems() if m]

        backup = models.Backup(submitter=submitter,
                               assignment=assignment.key,
                               messages=db_messages,
                               created=created)
        backup.put()
        deferred.defer(assign_submission, backup.key.id(), submit)
        return backup
Beispiel #5
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Datei: api.py Projekt: hpec/ok
    def create_submission(self, user, assignment, messages, submit, submitter):
        """Create submission using user as parent to ensure ordering."""
        if not user.is_admin:
            submitter = user.key
        # TODO - Choose member of group if the user is an admin.

        db_messages = []
        for kind, message in messages.iteritems():
            if message:
                db_messages.append(models.Message(kind=kind, contents=message))

        created = datetime.datetime.now()
        if messages.get('analytics'):
            date = messages['analytics']['time']
            if date:
                created = parse_date(date)

        submission = models.Submission(submitter=submitter,
                                       assignment=assignment.key,
                                       messages=db_messages,
                                       created=created)
        submission.put()
        deferred.defer(assign_submission, submission.key.id())

        return submission
Beispiel #6
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 def prepare_data(cls, array):
     if len(array) != cls.NUMBER_OF_COLUMNS:
         raise MinerError('wrong number of columns')
     array[2] = parse_date(array[2])
     array[-3] = locale.atoi(array[-3])
     array[-2] = locale.atof(array[-2])
     array[-1] = locale.atoi(array[-1])
Beispiel #7
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def index(page):
    page = page
    per_page = 10

    curso = CursoIndexForm()
    cursos = Curso.query

    curso.descricao.data = request.args.get('descricao')
    curso.inicio.data = parse_date(request.args.get('inicio')) if request.args.get('inicio') else '' 
    curso.fim.data = parse_date(request.args.get('fim')) if request.args.get('fim') else '' 

    cursos = cursos.filter( Curso.descricao.ilike(sql_ilike_format(curso.descricao.data)) ) if curso.descricao.data else cursos
    cursos = cursos.filter( Curso.vencimento >= sql_date_format(curso.inicio.data) ) if curso.inicio.data else cursos
    cursos = cursos.filter( Curso.vencimento <= sql_date_format(curso.fim.data) ) if curso.fim.data else cursos

    cursos = cursos.order_by(Curso.codigo.desc()).paginate(page, per_page=per_page, error_out=True)

    return render_template('cursos/index.html', cursos=cursos, titulo_form=curso)
Beispiel #8
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Datei: models.py Projekt: hpec/ok
    def upgrade(self):
        created = self.created

        analytics = self.messages.get('analytics')
        if analytics:
            date = analytics.get('time') or created
            if not date == created:
                created = parse_date(date)

        new_messages = [Message(kind=kind, contents=contents)
                        for kind, contents in self.messages.iteritems()]

        return Submission(
            submitter=self.submitter,
            assignment=self.assignment,
            created=created,
            messages=new_messages)
Beispiel #9
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def get_single_line_chart_hist(json, is_new_stats):
    stats = defaultdict(lambda: defaultdict(list))
    for stats_type in json:
        last_value = 0
        for date in json[stats_type]:
            date_obj = utils.parse_date(date)
            date_str = utils.format_date(date_obj)

            stats[stats_type]["labels"].append(date_str)
            stats[stats_type]["total"] = json[stats_type][date]
            curr_value = json[stats_type][date]

            if is_new_stats:
                new_value = curr_value - last_value
                last_value = curr_value
            else:
                new_value = curr_value

            stats[stats_type]["data"].append(new_value)

    return stats
Beispiel #10
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def analytics(request, tick, is_json_response):
    try:
        date_from = parse_date(request.GET['date_from'])
        date_to = parse_date(request.GET['date_to'])
    except KeyError:
        raise Http404

    qs = Trade.objects.filter(company__code=tick,
                              date__range=(date_from,
                                           date_to)).order_by('-date')
    open_price_list, high_price_list, low_price_list, close_price_list, date_list = zip(
        *qs.values_list('open_price', 'high_price', 'low_price', 'close_price',
                        'date'))

    prises = [
        open_price_list,
        high_price_list,
        low_price_list,
        close_price_list,
    ]
    new_data = [
        map(lambda x: round(x[0] - x[1], 2), pairwise(d)) for d in prises
    ]
    new_data = zip(date_list[:-1], *new_data)

    if is_json_response:
        return JsonResponse({
            'analytics': [{
                'date': trade_date,
                'open_delta': open_delta,
                'high_delta': high_delta,
                'low_delta': low_delta,
                'close_delta': close_delta
            } for trade_date, open_delta, high_delta, low_delta, close_delta in
                          new_data]
        })

    context = {
        'date_from':
        date_from,
        'date_to':
        date_to,
        'tick':
        tick,
        'open_price_list':
        json.dumps(open_price_list),
        'high_price_list':
        json.dumps(high_price_list),
        'low_price_list':
        json.dumps(low_price_list),
        'close_price_list':
        json.dumps(close_price_list),
        'date_list':
        json.dumps(
            tuple(map(lambda date: date.strftime('%Y-%m-%d'), date_list))),
        'range':
        qs.aggregate(Max('high_price'), Min('low_price')),
        'new_data':
        new_data,
    }

    return TemplateResponse(request, 'app/analytics.html', context)