| # 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 datetime |
| |
| import pandas as pd |
| from sqlalchemy import BigInteger, Date, String |
| from sqlalchemy.sql import column |
| |
| from superset import db |
| from superset.connectors.sqla.models import SqlMetric |
| from superset.models.slice import Slice |
| from superset.utils import core as utils |
| |
| from .helpers import ( |
| get_example_data, |
| get_slice_json, |
| get_table_connector_registry, |
| merge_slice, |
| misc_dash_slices, |
| ) |
| |
| |
| def load_country_map_data(only_metadata: bool = False, force: bool = False) -> None: |
| """Loading data for map with country map""" |
| tbl_name = "birth_france_by_region" |
| database = utils.get_example_database() |
| table_exists = database.has_table_by_name(tbl_name) |
| |
| if not only_metadata and (not table_exists or force): |
| csv_bytes = get_example_data( |
| "birth_france_data_for_country_map.csv", is_gzip=False, make_bytes=True |
| ) |
| data = pd.read_csv(csv_bytes, encoding="utf-8") |
| data["dttm"] = datetime.datetime.now().date() |
| data.to_sql( |
| tbl_name, |
| database.get_sqla_engine(), |
| if_exists="replace", |
| chunksize=500, |
| dtype={ |
| "DEPT_ID": String(10), |
| "2003": BigInteger, |
| "2004": BigInteger, |
| "2005": BigInteger, |
| "2006": BigInteger, |
| "2007": BigInteger, |
| "2008": BigInteger, |
| "2009": BigInteger, |
| "2010": BigInteger, |
| "2011": BigInteger, |
| "2012": BigInteger, |
| "2013": BigInteger, |
| "2014": BigInteger, |
| "dttm": Date(), |
| }, |
| index=False, |
| ) |
| print("Done loading table!") |
| print("-" * 80) |
| |
| print("Creating table reference") |
| table = get_table_connector_registry() |
| obj = db.session.query(table).filter_by(table_name=tbl_name).first() |
| if not obj: |
| obj = table(table_name=tbl_name) |
| obj.main_dttm_col = "dttm" |
| obj.database = database |
| obj.filter_select_enabled = True |
| if not any(col.metric_name == "avg__2004" for col in obj.metrics): |
| col = str(column("2004").compile(db.engine)) |
| obj.metrics.append(SqlMetric(metric_name="avg__2004", expression=f"AVG({col})")) |
| db.session.merge(obj) |
| db.session.commit() |
| obj.fetch_metadata() |
| tbl = obj |
| |
| slice_data = { |
| "granularity_sqla": "", |
| "since": "", |
| "until": "", |
| "viz_type": "country_map", |
| "entity": "DEPT_ID", |
| "metric": { |
| "expressionType": "SIMPLE", |
| "column": {"type": "INT", "column_name": "2004"}, |
| "aggregate": "AVG", |
| "label": "Boys", |
| "optionName": "metric_112342", |
| }, |
| "row_limit": 500000, |
| "select_country": "france", |
| } |
| |
| print("Creating a slice") |
| slc = Slice( |
| slice_name="Birth in France by department in 2016", |
| viz_type="country_map", |
| datasource_type="table", |
| datasource_id=tbl.id, |
| params=get_slice_json(slice_data), |
| ) |
| misc_dash_slices.add(slc.slice_name) |
| merge_slice(slc) |