Beispiel #1
0
class Summary(base.BaseResource):
    """Resource allowing to retrieve a rating summary."""
    @api_utils.paginated
    @api_utils.add_input_schema(
        'query', {
            voluptuous.Optional('groupby'):
            api_utils.MultiQueryParam(str),
            voluptuous.Optional('filters'):
            api_utils.SingleDictQueryParam(str, str),
            voluptuous.Optional('begin'):
            api_utils.SingleQueryParam(tzutils.dt_from_iso),
            voluptuous.Optional('end'):
            api_utils.SingleQueryParam(tzutils.dt_from_iso),
        })
    def get(self,
            groupby=None,
            filters={},
            begin=None,
            end=None,
            offset=0,
            limit=100):
        policy.authorize(flask.request.context, 'summary:get_summary',
                         {'project_id': flask.request.context.project_id})
        begin = begin or tzutils.get_month_start()
        end = end or tzutils.get_next_month()

        if not flask.request.context.is_admin:
            if flask.request.context.project_id is None:
                # Unscoped non-admin user
                return {
                    'total': 0,
                    'columns': [],
                    'results': [],
                }
            filters['project_id'] = flask.request.context.project_id

        metric_types = [filters.pop('type')] if 'type' in filters else None
        total = self._storage.total(
            begin=begin,
            end=end,
            groupby=groupby,
            filters=filters,
            metric_types=metric_types,
            offset=offset,
            limit=limit,
            paginate=True,
        )
        columns = []
        if len(total['results']) > 0:
            columns = list(total['results'][0].keys())

        return {
            'total': total['total'],
            'columns': columns,
            'results': [list(res.values()) for res in total['results']]
        }
Beispiel #2
0
class DataFrameList(base.BaseResource):
    @api_utils.add_input_schema('body', {
        voluptuous.Required('dataframes'): [dataframe.DataFrame.from_dict],
    })
    def post(self, dataframes=[]):
        policy.authorize(
            flask.request.context,
            'dataframes:add',
            {},
        )

        if not dataframes:
            raise http_exceptions.BadRequest(
                "Parameter dataframes must not be empty.")

        self._storage.push(dataframes)

        return {}, 204

    @api_utils.paginated
    @api_utils.add_input_schema(
        'query', {
            voluptuous.Optional('begin'):
            api_utils.SingleQueryParam(tzutils.dt_from_iso),
            voluptuous.Optional('end'):
            api_utils.SingleQueryParam(tzutils.dt_from_iso),
            voluptuous.Optional('filters'):
            api_utils.SingleDictQueryParam(str, str),
        })
    @api_utils.add_output_schema({
        voluptuous.Required('total'):
        int,
        voluptuous.Required('dataframes'): [dataframe.DataFrame.as_dict],
    })
    def get(self, offset=0, limit=100, begin=None, end=None, filters=None):

        policy.authorize(
            flask.request.context,
            'dataframes:get',
            {'tenant_id': flask.request.context.project_id},
        )

        begin = begin or tzutils.get_month_start()
        end = end or tzutils.get_next_month()

        if filters and 'type' in filters:
            metric_types = [filters.pop('type')]
        else:
            metric_types = None

        if not flask.request.context.is_admin:
            if flask.request.context.project_id is None:
                # Unscoped non-admin user
                return {'total': 0, 'dataframes': []}
            scope_key = CONF.collect.scope_key
            if filters:
                filters[scope_key] = flask.request.context.project_id
            else:
                filters = {scope_key: flask.request.context.project_id}

        results = self._storage.retrieve(
            begin=begin,
            end=end,
            filters=filters,
            metric_types=metric_types,
            offset=offset,
            limit=limit,
        )

        if results['total'] < 1:
            raise http_exceptions.NotFound(
                "No resource found for provided filters.")

        return {
            'total': results['total'],
            'dataframes': results['dataframes'],
        }