mirror of https://github.com/apache/superset.git
206 lines
6.7 KiB
Python
206 lines
6.7 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# isort:skip_file
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"""Unit tests for Superset CSV upload"""
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import json
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import logging
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import os
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import shutil
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from typing import Dict, Optional
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from unittest import mock
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import pandas as pd
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import pytest
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import superset.utils.database
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from superset.sql_parse import Table
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from superset import security_manager
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from tests.integration_tests.conftest import ADMIN_SCHEMA_NAME
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from tests.integration_tests.test_app import app # isort:skip
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from superset import db
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from superset.models.core import Database
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from superset.utils import core as utils
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from tests.integration_tests.base_tests import get_resp, login, SupersetTestCase
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logger = logging.getLogger(__name__)
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test_client = app.test_client()
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CSV_UPLOAD_DATABASE = "csv_explore_db"
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CSV_FILENAME1 = "testCSV1.csv"
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CSV_FILENAME2 = "testCSV2.csv"
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EXCEL_FILENAME = "testExcel.xlsx"
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PARQUET_FILENAME1 = "testZip/testParquet1.parquet"
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PARQUET_FILENAME2 = "testZip/testParquet2.parquet"
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ZIP_DIRNAME = "testZip"
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ZIP_FILENAME = "testZip.zip"
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EXCEL_UPLOAD_TABLE = "excel_upload"
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CSV_UPLOAD_TABLE = "csv_upload"
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PARQUET_UPLOAD_TABLE = "parquet_upload"
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CSV_UPLOAD_TABLE_W_SCHEMA = "csv_upload_w_schema"
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CSV_UPLOAD_TABLE_W_EXPLORE = "csv_upload_w_explore"
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@pytest.fixture(scope="module")
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def setup_csv_upload():
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with app.app_context():
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login(test_client, username="admin")
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upload_db = superset.utils.database.get_or_create_db(
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CSV_UPLOAD_DATABASE, app.config["SQLALCHEMY_EXAMPLES_URI"]
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)
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extra = upload_db.get_extra()
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extra["explore_database_id"] = superset.utils.database.get_example_database().id
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upload_db.extra = json.dumps(extra)
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upload_db.allow_file_upload = True
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db.session.commit()
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yield
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upload_db = get_upload_db()
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engine = upload_db.get_sqla_engine()
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engine.execute(f"DROP TABLE IF EXISTS {EXCEL_UPLOAD_TABLE}")
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engine.execute(f"DROP TABLE IF EXISTS {CSV_UPLOAD_TABLE}")
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engine.execute(f"DROP TABLE IF EXISTS {PARQUET_UPLOAD_TABLE}")
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engine.execute(f"DROP TABLE IF EXISTS {CSV_UPLOAD_TABLE_W_SCHEMA}")
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engine.execute(f"DROP TABLE IF EXISTS {CSV_UPLOAD_TABLE_W_EXPLORE}")
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db.session.delete(upload_db)
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db.session.commit()
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@pytest.fixture(scope="module")
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def create_csv_files():
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with open(CSV_FILENAME1, "w+") as test_file:
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for line in ["a,b", "john,1", "paul,2"]:
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test_file.write(f"{line}\n")
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with open(CSV_FILENAME2, "w+") as test_file:
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for line in ["b,c,d", "john,1,x", "paul,2,"]:
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test_file.write(f"{line}\n")
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yield
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os.remove(CSV_FILENAME1)
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os.remove(CSV_FILENAME2)
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@pytest.fixture()
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def create_excel_files():
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pd.DataFrame({"a": ["john", "paul"], "b": [1, 2]}).to_excel(EXCEL_FILENAME)
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yield
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os.remove(EXCEL_FILENAME)
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@pytest.fixture()
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def create_columnar_files():
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os.mkdir(ZIP_DIRNAME)
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pd.DataFrame({"a": ["john", "paul"], "b": [1, 2]}).to_parquet(PARQUET_FILENAME1)
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pd.DataFrame({"a": ["max", "bob"], "b": [3, 4]}).to_parquet(PARQUET_FILENAME2)
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shutil.make_archive(ZIP_DIRNAME, "zip", ZIP_DIRNAME)
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yield
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os.remove(ZIP_FILENAME)
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shutil.rmtree(ZIP_DIRNAME)
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def get_upload_db():
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return db.session.query(Database).filter_by(database_name=CSV_UPLOAD_DATABASE).one()
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def upload_csv(filename: str, table_name: str, extra: Optional[Dict[str, str]] = None):
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csv_upload_db_id = get_upload_db().id
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schema = utils.get_example_default_schema()
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form_data = {
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"csv_file": open(filename, "rb"),
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"sep": ",",
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"name": table_name,
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"con": csv_upload_db_id,
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"if_exists": "fail",
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"index_label": "test_label",
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"mangle_dupe_cols": False,
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}
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if schema:
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form_data["schema"] = schema
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if extra:
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form_data.update(extra)
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return get_resp(test_client, "/csvtodatabaseview/form", data=form_data)
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def upload_excel(
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filename: str, table_name: str, extra: Optional[Dict[str, str]] = None
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):
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excel_upload_db_id = get_upload_db().id
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schema = utils.get_example_default_schema()
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form_data = {
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"excel_file": open(filename, "rb"),
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"name": table_name,
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"con": excel_upload_db_id,
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"sheet_name": "Sheet1",
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"if_exists": "fail",
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"index_label": "test_label",
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"mangle_dupe_cols": False,
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}
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if schema:
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form_data["schema"] = schema
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if extra:
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form_data.update(extra)
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return get_resp(test_client, "/exceltodatabaseview/form", data=form_data)
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def upload_columnar(
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filename: str, table_name: str, extra: Optional[Dict[str, str]] = None
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):
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columnar_upload_db_id = get_upload_db().id
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schema = utils.get_example_default_schema()
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form_data = {
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"columnar_file": open(filename, "rb"),
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"name": table_name,
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"con": columnar_upload_db_id,
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"if_exists": "fail",
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"index_label": "test_label",
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}
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if schema:
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form_data["schema"] = schema
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if extra:
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form_data.update(extra)
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return get_resp(test_client, "/columnartodatabaseview/form", data=form_data)
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def mock_upload_to_s3(filename: str, upload_prefix: str, table: Table) -> str:
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"""
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HDFS is used instead of S3 for the unit tests.integration_tests.
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:param filename: The file to upload
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:param upload_prefix: The S3 prefix
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:param table: The table that will be created
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:returns: The HDFS path to the directory with external table files
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"""
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# only needed for the hive tests
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import docker
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client = docker.from_env()
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container = client.containers.get("namenode")
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# docker mounted volume that contains csv uploads
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src = os.path.join("/tmp/superset_uploads", os.path.basename(filename))
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# hdfs destination for the external tables
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dest_dir = os.path.join("/tmp/external/superset_uploads/", str(table))
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container.exec_run(f"hdfs dfs -mkdir -p {dest_dir}")
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dest = os.path.join(dest_dir, os.path.basename(filename))
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container.exec_run(f"hdfs dfs -put {src} {dest}")
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# hive external table expectes a directory for the location
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return dest_dir
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