Exemple #1
0
class Product(JsonObject):
    name = StringProperty()
    units = StringProperty()
    sms_code = StringProperty()
    description = StringProperty()
    is_active = BooleanProperty()
    program = ObjectProperty(item_type=Program)
Exemple #2
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class SMSUser(JsonObject):
    id = IntegerProperty()
    name = StringProperty()
    role = StringProperty()
    is_active = StringProperty()
    supply_point = ObjectProperty(item_type=SupplyPoint)
    email = StringProperty()
    phone_numbers = ListProperty()
    backend = StringProperty()
    family_name = StringProperty()
    to = StringProperty()
    language = StringProperty()
Exemple #3
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class EWSUser(JsonObject):
    username = StringProperty()
    first_name = StringProperty()
    last_name = StringProperty()
    email = StringProperty()
    password = StringProperty()
    is_staff = BooleanProperty()
    is_active = BooleanProperty()
    is_superuser = BooleanProperty()
    last_login = StringProperty()
    date_joined = StringProperty()
    location = IntegerProperty()
    supply_point = IntegerProperty()
    sms_notifications = BooleanProperty()
    organization = StringProperty()
    groups = ListProperty(item_type=Group)
    contact = ObjectProperty(item_type=SMSUser)
class ConditionalFormQuestionResponse(JsonObject):
    question = ObjectProperty(FormQuestionResponse)
    condition = ObjectProperty(FormActionCondition)
Exemple #5
0
class PercentageColumn(ReportColumn):
    type = TypeProperty('percent')
    numerator = ObjectProperty(FieldColumn, required=True)
    denominator = ObjectProperty(FieldColumn, required=True)
    format = StringProperty(
        choices=['percent', 'fraction', 'both', 'numeric_percent', 'decimal'],
        default='percent')

    def get_column_config(self, data_source_config, lang):
        # todo: better checks that fields are not expand
        num_config = self.numerator.get_column_config(data_source_config, lang)
        denom_config = self.denominator.get_column_config(
            data_source_config, lang)
        return ColumnConfig(
            columns=[
                AggregateColumn(
                    header=self.get_header(lang),
                    aggregate_fn=lambda n, d: {
                        'num': n,
                        'denom': d
                    },
                    format_fn=self.get_format_fn(),
                    columns=[
                        c.view
                        for c in num_config.columns + denom_config.columns
                    ],
                    slug=self.column_id,
                    data_slug=self.column_id,
                )
            ],
            warnings=num_config.warnings + denom_config.warnings,
        )

    def get_format_fn(self):
        NO_DATA_TEXT = '--'
        CANT_CALCULATE_TEXT = '?'

        class NoData(Exception):
            pass

        class BadData(Exception):
            pass

        def trap_errors(fn):
            def inner(*args, **kwargs):
                try:
                    return fn(*args, **kwargs)
                except BadData:
                    return CANT_CALCULATE_TEXT
                except NoData:
                    return NO_DATA_TEXT

            return inner

        def _raw(data):
            if data['denom']:
                try:
                    return round(float(data['num']) / float(data['denom']), 3)
                except (ValueError, TypeError):
                    raise BadData()
            else:
                raise NoData()

        def _raw_pct(data, round_type=float):
            return round_type(_raw(data) * 100)

        @trap_errors
        def _clean_raw(data):
            return _raw(data)

        @trap_errors
        def _numeric_pct(data):
            return _raw_pct(data, round_type=int)

        @trap_errors
        def _pct(data):
            return '{0:.0f}%'.format(_raw_pct(data))

        _fraction = lambda data: '{num}/{denom}'.format(**data)

        return {
            'percent': _pct,
            'fraction': _fraction,
            'both': lambda data: '{} ({})'.format(_pct(data), _fraction(data)),
            'numeric_percent': _numeric_pct,
            'decimal': _clean_raw,
        }[self.format]

    def get_column_ids(self):
        # override this to include the columns for the numerator and denominator as well
        return [
            self.column_id, self.numerator.column_id,
            self.denominator.column_id
        ]

    def get_fields(self, data_source_config=None, lang=None):
        return self.numerator.get_fields() + self.denominator.get_fields()

    def aggregations(self, data_source_config, lang):
        num_aggs = self.numerator.aggregations(data_source_config, lang)
        denom_aggs = self.denominator.aggregations(data_source_config, lang)
        return num_aggs + denom_aggs

    def get_es_data(self,
                    row,
                    data_source_config,
                    lang,
                    from_aggregation=True):
        num = self.numerator
        denom = self.denominator
        num_data = num.get_es_data(row, data_source_config, lang,
                                   from_aggregation)
        denom_data = denom.get_es_data(row, data_source_config, lang,
                                       from_aggregation)
        return {
            num.column_id: num_data[num.column_id],
            denom.column_id: denom_data[denom.column_id]
        }