# 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 json import random import pandas as pd from sqlalchemy import Date, Float, String from superset import db from superset.models.dashboard import Dashboard from superset.models.slice import Slice from superset.utils import core as utils from .helpers import ( config, get_example_data, get_slice_json, merge_slice, TBL, update_slice_ids, ) def load_unicode_test_data(only_metadata=False, force=False): """Loading unicode test dataset from a csv file in the repo""" tbl_name = "unicode_test" database = utils.get_example_database() table_exists = database.has_table_by_name(tbl_name) if not only_metadata and (not table_exists or force): data = get_example_data( "unicode_utf8_unixnl_test.csv", is_gzip=False, make_bytes=True ) df = pd.read_csv(data, encoding="utf-8") # generate date/numeric data df["dttm"] = datetime.datetime.now().date() df["value"] = [random.randint(1, 100) for _ in range(len(df))] df.to_sql( # pylint: disable=no-member tbl_name, database.get_sqla_engine(), if_exists="replace", chunksize=500, dtype={ "phrase": String(500), "short_phrase": String(10), "with_missing": String(100), "dttm": Date(), "value": Float(), }, index=False, ) print("Done loading table!") print("-" * 80) print("Creating table [unicode_test] reference") obj = db.session.query(TBL).filter_by(table_name=tbl_name).first() if not obj: obj = TBL(table_name=tbl_name) obj.main_dttm_col = "dttm" obj.database = database db.session.merge(obj) db.session.commit() obj.fetch_metadata() tbl = obj slice_data = { "granularity_sqla": "dttm", "groupby": [], "metric": { "aggregate": "SUM", "column": {"column_name": "value"}, "expressionType": "SIMPLE", "label": "Value", }, "row_limit": config["ROW_LIMIT"], "since": "100 years ago", "until": "now", "viz_type": "word_cloud", "size_from": "10", "series": "short_phrase", "size_to": "70", "rotation": "square", "limit": "100", } print("Creating a slice") slc = Slice( slice_name="Unicode Cloud", viz_type="word_cloud", datasource_type="table", datasource_id=tbl.id, params=get_slice_json(slice_data), ) merge_slice(slc) print("Creating a dashboard") dash = db.session.query(Dashboard).filter_by(slug="unicode-test").first() if not dash: dash = Dashboard() js = """\ { "CHART-Hkx6154FEm": { "children": [], "id": "CHART-Hkx6154FEm", "meta": { "chartId": 2225, "height": 30, "sliceName": "slice 1", "width": 4 }, "type": "CHART" }, "GRID_ID": { "children": [ "ROW-SyT19EFEQ" ], "id": "GRID_ID", "type": "GRID" }, "ROOT_ID": { "children": [ "GRID_ID" ], "id": "ROOT_ID", "type": "ROOT" }, "ROW-SyT19EFEQ": { "children": [ "CHART-Hkx6154FEm" ], "id": "ROW-SyT19EFEQ", "meta": { "background": "BACKGROUND_TRANSPARENT" }, "type": "ROW" }, "DASHBOARD_VERSION_KEY": "v2" } """ dash.dashboard_title = "Unicode Test" pos = json.loads(js) update_slice_ids(pos, [slc]) dash.position_json = json.dumps(pos, indent=4) dash.slug = "unicode-test" dash.slices = [slc] db.session.merge(dash) db.session.commit()