| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| import copy |
| from typing import Any, Dict, List |
| |
| from superset.utils.core import AnnotationType, DTTM_ALIAS |
| from tests.base_tests import get_table_by_name |
| |
| query_birth_names = { |
| "extras": { |
| "where": "", |
| "time_range_endpoints": ["inclusive", "exclusive"], |
| "time_grain_sqla": "P1D", |
| }, |
| "groupby": ["name"], |
| "metrics": [{"label": "sum__num"}], |
| "order_desc": True, |
| "orderby": [["sum__num", False]], |
| "row_limit": 100, |
| "granularity": "ds", |
| "time_range": "100 years ago : now", |
| "timeseries_limit": 0, |
| "timeseries_limit_metric": None, |
| "filters": [{"col": "gender", "op": "==", "val": "boy"}], |
| "having": "", |
| "having_filters": [], |
| "where": "", |
| } |
| |
| QUERY_OBJECTS: Dict[str, Dict[str, object]] = { |
| "birth_names": {**query_birth_names, "is_timeseries": False,}, |
| "birth_names:include_time": {**query_birth_names, "groupby": [DTTM_ALIAS, "name"],}, |
| } |
| |
| ANNOTATION_LAYERS = { |
| AnnotationType.FORMULA: { |
| "annotationType": "FORMULA", |
| "color": "#ff7f44", |
| "hideLine": False, |
| "name": "my formula", |
| "opacity": "", |
| "overrides": {"time_range": None}, |
| "show": True, |
| "showMarkers": False, |
| "sourceType": "", |
| "style": "solid", |
| "value": "3+x", |
| "width": 5, |
| }, |
| AnnotationType.EVENT: { |
| "name": "my event", |
| "annotationType": "EVENT", |
| "sourceType": "NATIVE", |
| "color": "#e04355", |
| "opacity": "", |
| "style": "solid", |
| "width": 5, |
| "showMarkers": False, |
| "hideLine": False, |
| "value": 1, |
| "overrides": {"time_range": None}, |
| "show": True, |
| "titleColumn": "", |
| "descriptionColumns": [], |
| "timeColumn": "", |
| "intervalEndColumn": "", |
| }, |
| AnnotationType.INTERVAL: { |
| "name": "my interval", |
| "annotationType": "INTERVAL", |
| "sourceType": "NATIVE", |
| "color": "#e04355", |
| "opacity": "", |
| "style": "solid", |
| "width": 1, |
| "showMarkers": False, |
| "hideLine": False, |
| "value": 1, |
| "overrides": {"time_range": None}, |
| "show": True, |
| "titleColumn": "", |
| "descriptionColumns": [], |
| "timeColumn": "", |
| "intervalEndColumn": "", |
| }, |
| AnnotationType.TIME_SERIES: { |
| "annotationType": "TIME_SERIES", |
| "color": None, |
| "descriptionColumns": [], |
| "hideLine": False, |
| "intervalEndColumn": "", |
| "name": "my line", |
| "opacity": "", |
| "overrides": {"time_range": None}, |
| "show": True, |
| "showMarkers": False, |
| "sourceType": "line", |
| "style": "dashed", |
| "timeColumn": "", |
| "titleColumn": "", |
| "value": 837, |
| "width": 5, |
| }, |
| } |
| |
| POSTPROCESSING_OPERATIONS = { |
| "birth_names": [ |
| { |
| "operation": "aggregate", |
| "options": { |
| "groupby": ["gender"], |
| "aggregates": { |
| "q1": { |
| "operator": "percentile", |
| "column": "sum__num", |
| "options": {"q": 25}, |
| }, |
| "median": {"operator": "median", "column": "sum__num",}, |
| }, |
| }, |
| }, |
| {"operation": "sort", "options": {"columns": {"q1": False, "gender": True},},}, |
| ] |
| } |
| |
| |
| def get_query_object( |
| query_name: str, add_postprocessing_operations: bool |
| ) -> Dict[str, Any]: |
| if query_name not in QUERY_OBJECTS: |
| raise Exception(f"QueryObject fixture not defined for datasource: {query_name}") |
| query_object = copy.deepcopy(QUERY_OBJECTS[query_name]) |
| if add_postprocessing_operations: |
| query_object["post_processing"] = _get_postprocessing_operation(query_name) |
| return query_object |
| |
| |
| def _get_postprocessing_operation(query_name: str) -> List[Dict[str, Any]]: |
| if query_name not in QUERY_OBJECTS: |
| raise Exception( |
| f"Post-processing fixture not defined for datasource: {query_name}" |
| ) |
| return copy.deepcopy(POSTPROCESSING_OPERATIONS[query_name]) |
| |
| |
| def get_query_context( |
| query_name: str, add_postprocessing_operations: bool = False, |
| ) -> Dict[str, Any]: |
| """ |
| Create a request payload for retrieving a QueryContext object via the |
| `api/v1/chart/data` endpoint. By default returns a payload corresponding to one |
| generated by the "Boy Name Cloud" chart in the examples. |
| |
| :param query_name: name of an example query, which is always in the format |
| of `datasource_name[:test_case_name]`, where `:test_case_name` is optional. |
| :param datasource_id: id of datasource to query. |
| :param datasource_type: type of datasource to query. |
| :param add_postprocessing_operations: Add post-processing operations to QueryObject |
| :return: Request payload |
| """ |
| table_name = query_name.split(":")[0] |
| table = get_table_by_name(table_name) |
| return { |
| "datasource": {"id": table.id, "type": table.type}, |
| "queries": [get_query_object(query_name, add_postprocessing_operations)], |
| } |