def build_query(self, query_type, args): """ Build query based on given query type and arguments. :param string query_type: a type of query :param dict args: the dict of args to be sent :return: the resulting query :rtype: Query """ query_dict = {'queryType': query_type} for key, val in six.iteritems(args): if key == 'aggregations': query_dict[key] = build_aggregators(val) elif key == 'post_aggregations': query_dict['postAggregations'] = Postaggregator.build_post_aggregators(val) elif key == 'datasource': query_dict['dataSource'] = val elif key == 'paging_spec': query_dict['pagingSpec'] = val elif key == 'limit_spec': query_dict['limitSpec'] = val elif key == "filter": query_dict[key] = Filter.build_filter(val) elif key == "having": query_dict[key] = Having.build_having(val) elif key == 'dimension': query_dict[key] = build_dimension(val) elif key == 'dimensions': query_dict[key] = [build_dimension(v) for v in val] else: query_dict[key] = val self.last_query = Query(query_dict, query_type) return self.last_query
def build_query(self, query_type, args): """ Build query based on given query type and arguments. :param string query_type: a type of query :param dict args: the dict of args to be sent :return: the resulting query :rtype: Query """ query_dict = {'queryType': query_type} for key, val in six.iteritems(args): if key == 'aggregations': query_dict[key] = build_aggregators(val) elif key == 'post_aggregations': query_dict['postAggregations'] = Postaggregator.build_post_aggregators(val) elif key == 'datasource': query_dict['dataSource'] = val elif key == 'paging_spec': query_dict['pagingSpec'] = val elif key == 'limit_spec': query_dict['limitSpec'] = val elif key == "filter": query_dict[key] = Filter.build_filter(val) elif key == "having": query_dict[key] = Having.build_having(val) elif key == 'dimension': query_dict[key] = build_dimension(val) elif key == 'dimensions': query_dict[key] = [build_dimension(v) for v in val] else: query_dict[key] = val self.last_query = Query(query_dict, query_type) return self.last_query
def build_query(self, query_type, args): """ Build query based on given query type and arguments. :param string query_type: a type of query :param dict args: the dict of args to be sent :return: the resulting query :rtype: Query """ query_dict = {"queryType": query_type} for key, val in six.iteritems(args): if key == "aggregations": query_dict[key] = build_aggregators(val) elif key == "post_aggregations": query_dict[ "postAggregations"] = Postaggregator.build_post_aggregators( val) elif key == "context": query_dict["context"] = val elif key == "datasource": query_dict["dataSource"] = self.parse_datasource( val, query_type) elif key == "paging_spec": query_dict["pagingSpec"] = val elif key == "limit_spec": query_dict["limitSpec"] = val elif key == "filter" and val is not None: query_dict[key] = Filter.build_filter(val) elif key == "having" and val is not None: query_dict[key] = Having.build_having(val) elif key == "dimension" and val is not None: query_dict[key] = build_dimension(val) elif key == "dimensions": query_dict[key] = [build_dimension(v) for v in val] else: query_dict[key] = val self.last_query = Query(query_dict, query_type) return self.last_query
def build_query_dict(self, query_type, args): query_dict = {"queryType": query_type} for key, val in six.iteritems(args): if key == "aggregations": query_dict[key] = build_aggregators(val) elif key == "post_aggregations": query_dict[ "postAggregations"] = Postaggregator.build_post_aggregators( val) elif key == "context": query_dict["context"] = val elif key == "datasource": query_dict["dataSource"] = self.parse_datasource( val, query_type) elif key == "paging_spec": query_dict["pagingSpec"] = val elif key == "limit_spec": query_dict["limitSpec"] = val elif key == "filter" and val is not None: query_dict[key] = Filter.build_filter(val) elif key == "having" and val is not None: query_dict[key] = Having.build_having(val) elif key == "dimension" and val is not None: query_dict[key] = build_dimension(val) elif key == "dimensions": query_dict[key] = [build_dimension(v) for v in val] elif key == 'virtualColumns': query_dict[key] = [ VirtualColumn.build_virtual_column(v) for v in val ] elif key == 'sub_query' and val is not None: query_dict['dataSource'] = { 'type': 'query', 'query': self.build_query_dict(query_type, val) } elif val is not None: query_dict[key] = val return query_dict