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- # 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()
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