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1621 lines
57 KiB
Python
1621 lines
57 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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import json
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from contextlib import contextmanager
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from datetime import datetime, timedelta
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from typing import List, Optional
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from unittest.mock import Mock, patch
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from uuid import uuid4
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import pytest
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from flask_sqlalchemy import BaseQuery
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from freezegun import freeze_time
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from sqlalchemy.sql import func
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from superset import db, security_manager
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from superset.models.core import Database
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from superset.models.dashboard import Dashboard
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from superset.models.reports import (
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ReportDataFormat,
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ReportExecutionLog,
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ReportRecipients,
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ReportRecipientType,
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ReportSchedule,
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ReportScheduleType,
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ReportScheduleValidatorType,
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ReportState,
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)
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from superset.models.slice import Slice
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from superset.reports.commands.exceptions import (
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AlertQueryError,
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AlertQueryInvalidTypeError,
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AlertQueryMultipleColumnsError,
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AlertQueryMultipleRowsError,
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ReportScheduleCsvFailedError,
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ReportScheduleCsvTimeout,
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ReportScheduleNotFoundError,
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ReportScheduleNotificationError,
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ReportSchedulePreviousWorkingError,
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ReportScheduleScreenshotFailedError,
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ReportScheduleScreenshotTimeout,
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ReportScheduleWorkingTimeoutError,
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)
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from superset.reports.commands.execute import AsyncExecuteReportScheduleCommand
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from superset.reports.commands.log_prune import AsyncPruneReportScheduleLogCommand
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from superset.utils.core import get_example_database
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from tests.integration_tests.fixtures.birth_names_dashboard import (
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load_birth_names_dashboard_with_slices,
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)
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from tests.integration_tests.fixtures.world_bank_dashboard import (
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load_world_bank_dashboard_with_slices_module_scope,
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)
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from tests.integration_tests.reports.utils import insert_report_schedule
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from tests.integration_tests.test_app import app
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from tests.integration_tests.utils import read_fixture
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pytestmark = pytest.mark.usefixtures(
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"load_world_bank_dashboard_with_slices_module_scope"
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)
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TEST_ID = str(uuid4())
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CSV_FILE = read_fixture("trends.csv")
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SCREENSHOT_FILE = read_fixture("sample.png")
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OWNER_EMAIL = "admin@fab.org"
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def get_target_from_report_schedule(report_schedule: ReportSchedule) -> List[str]:
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return [
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json.loads(recipient.recipient_config_json)["target"]
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for recipient in report_schedule.recipients
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]
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def get_error_logs_query(report_schedule: ReportSchedule) -> BaseQuery:
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return (
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db.session.query(ReportExecutionLog)
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.filter(
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ReportExecutionLog.report_schedule == report_schedule,
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ReportExecutionLog.state == ReportState.ERROR,
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)
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.order_by(ReportExecutionLog.end_dttm.desc())
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)
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def get_notification_error_sent_count(report_schedule: ReportSchedule) -> int:
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logs = get_error_logs_query(report_schedule).all()
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notification_sent_logs = [
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log.error_message
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for log in logs
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if log.error_message == "Notification sent with error"
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]
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return len(notification_sent_logs)
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def assert_log(state: str, error_message: Optional[str] = None):
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db.session.commit()
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logs = db.session.query(ReportExecutionLog).all()
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if state == ReportState.ERROR:
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# On error we send an email
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assert len(logs) == 3
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else:
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assert len(logs) == 2
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log_states = [log.state for log in logs]
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assert ReportState.WORKING in log_states
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assert state in log_states
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assert error_message in [log.error_message for log in logs]
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def create_report_notification(
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email_target: Optional[str] = None,
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slack_channel: Optional[str] = None,
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chart: Optional[Slice] = None,
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dashboard: Optional[Dashboard] = None,
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database: Optional[Database] = None,
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sql: Optional[str] = None,
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report_type: Optional[str] = None,
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validator_type: Optional[str] = None,
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validator_config_json: Optional[str] = None,
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grace_period: Optional[int] = None,
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report_format: Optional[ReportDataFormat] = None,
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name: Optional[str] = None,
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) -> ReportSchedule:
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report_type = report_type or ReportScheduleType.REPORT
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target = email_target or slack_channel
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config_json = {"target": target}
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owner = (
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db.session.query(security_manager.user_model)
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.filter_by(email=OWNER_EMAIL)
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.one_or_none()
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)
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if slack_channel:
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recipient = ReportRecipients(
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type=ReportRecipientType.SLACK,
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recipient_config_json=json.dumps(config_json),
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)
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else:
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recipient = ReportRecipients(
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type=ReportRecipientType.EMAIL,
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recipient_config_json=json.dumps(config_json),
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)
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if name is None:
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name = "report_with_csv" if report_format else "report"
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report_schedule = insert_report_schedule(
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type=report_type,
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name=name,
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crontab="0 9 * * *",
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description="Daily report",
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sql=sql,
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chart=chart,
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dashboard=dashboard,
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database=database,
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recipients=[recipient],
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owners=[owner],
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validator_type=validator_type,
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validator_config_json=validator_config_json,
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grace_period=grace_period,
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report_format=report_format or ReportDataFormat.VISUALIZATION,
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)
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return report_schedule
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def cleanup_report_schedule(report_schedule: ReportSchedule) -> None:
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db.session.query(ReportExecutionLog).filter(
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ReportExecutionLog.report_schedule == report_schedule
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).delete()
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db.session.query(ReportRecipients).filter(
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ReportRecipients.report_schedule == report_schedule
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).delete()
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db.session.delete(report_schedule)
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db.session.commit()
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@contextmanager
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def create_test_table_context(database: Database):
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database.get_sqla_engine().execute(
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"CREATE TABLE test_table AS SELECT 1 as first, 2 as second"
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)
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database.get_sqla_engine().execute(
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"INSERT INTO test_table (first, second) VALUES (1, 2)"
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)
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database.get_sqla_engine().execute(
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"INSERT INTO test_table (first, second) VALUES (3, 4)"
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)
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yield db.session
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database.get_sqla_engine().execute("DROP TABLE test_table")
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@pytest.fixture()
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def create_report_email_chart():
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with app.app_context():
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chart = db.session.query(Slice).first()
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report_schedule = create_report_notification(
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email_target="target@email.com", chart=chart
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_email_chart_with_csv():
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with app.app_context():
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chart = db.session.query(Slice).first()
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chart.query_context = '{"mock": "query_context"}'
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report_schedule = create_report_notification(
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email_target="target@email.com",
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chart=chart,
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report_format=ReportDataFormat.DATA,
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_email_chart_with_text():
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with app.app_context():
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chart = db.session.query(Slice).first()
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chart.query_context = '{"mock": "query_context"}'
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report_schedule = create_report_notification(
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email_target="target@email.com",
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chart=chart,
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report_format=ReportDataFormat.TEXT,
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_email_chart_with_csv_no_query_context():
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with app.app_context():
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chart = db.session.query(Slice).first()
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chart.query_context = None
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report_schedule = create_report_notification(
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email_target="target@email.com",
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chart=chart,
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report_format=ReportDataFormat.DATA,
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name="report_csv_no_query_context",
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_email_dashboard():
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with app.app_context():
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dashboard = db.session.query(Dashboard).first()
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report_schedule = create_report_notification(
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email_target="target@email.com", dashboard=dashboard
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_slack_chart():
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with app.app_context():
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chart = db.session.query(Slice).first()
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report_schedule = create_report_notification(
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slack_channel="slack_channel", chart=chart
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_slack_chart_with_csv():
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with app.app_context():
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chart = db.session.query(Slice).first()
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chart.query_context = '{"mock": "query_context"}'
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report_schedule = create_report_notification(
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slack_channel="slack_channel",
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chart=chart,
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report_format=ReportDataFormat.DATA,
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_slack_chart_with_text():
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with app.app_context():
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chart = db.session.query(Slice).first()
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chart.query_context = '{"mock": "query_context"}'
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report_schedule = create_report_notification(
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slack_channel="slack_channel",
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chart=chart,
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report_format=ReportDataFormat.TEXT,
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_report_slack_chart_working():
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with app.app_context():
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chart = db.session.query(Slice).first()
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report_schedule = create_report_notification(
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slack_channel="slack_channel", chart=chart
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)
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report_schedule.last_state = ReportState.WORKING
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report_schedule.last_eval_dttm = datetime(2020, 1, 1, 0, 0)
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db.session.commit()
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log = ReportExecutionLog(
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scheduled_dttm=report_schedule.last_eval_dttm,
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start_dttm=report_schedule.last_eval_dttm,
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end_dttm=report_schedule.last_eval_dttm,
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state=ReportState.WORKING,
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report_schedule=report_schedule,
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uuid=uuid4(),
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)
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db.session.add(log)
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db.session.commit()
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture()
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def create_alert_slack_chart_success():
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with app.app_context():
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chart = db.session.query(Slice).first()
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report_schedule = create_report_notification(
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slack_channel="slack_channel",
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chart=chart,
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report_type=ReportScheduleType.ALERT,
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)
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report_schedule.last_state = ReportState.SUCCESS
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report_schedule.last_eval_dttm = datetime(2020, 1, 1, 0, 0)
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log = ReportExecutionLog(
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report_schedule=report_schedule,
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state=ReportState.SUCCESS,
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start_dttm=report_schedule.last_eval_dttm,
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end_dttm=report_schedule.last_eval_dttm,
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scheduled_dttm=report_schedule.last_eval_dttm,
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)
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db.session.add(log)
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db.session.commit()
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture(
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params=["alert1",]
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)
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def create_alert_slack_chart_grace(request):
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param_config = {
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"alert1": {
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"sql": "SELECT count(*) from test_table",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "<", "threshold": 10}',
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},
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}
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with app.app_context():
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chart = db.session.query(Slice).first()
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example_database = get_example_database()
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with create_test_table_context(example_database):
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report_schedule = create_report_notification(
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slack_channel="slack_channel",
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chart=chart,
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report_type=ReportScheduleType.ALERT,
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database=example_database,
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sql=param_config[request.param]["sql"],
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validator_type=param_config[request.param]["validator_type"],
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validator_config_json=param_config[request.param][
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"validator_config_json"
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],
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)
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report_schedule.last_state = ReportState.GRACE
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report_schedule.last_eval_dttm = datetime(2020, 1, 1, 0, 0)
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log = ReportExecutionLog(
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report_schedule=report_schedule,
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state=ReportState.SUCCESS,
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start_dttm=report_schedule.last_eval_dttm,
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end_dttm=report_schedule.last_eval_dttm,
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scheduled_dttm=report_schedule.last_eval_dttm,
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)
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db.session.add(log)
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db.session.commit()
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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@pytest.fixture(
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params=["alert1", "alert2", "alert3", "alert4", "alert5", "alert6", "alert7",]
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)
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def create_alert_email_chart(request):
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param_config = {
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"alert1": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": ">", "threshold": 9}',
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},
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"alert2": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": ">=", "threshold": 10}',
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},
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"alert3": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "<", "threshold": 11}',
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},
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"alert4": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "<=", "threshold": 10}',
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},
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"alert5": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "!=", "threshold": 11}',
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},
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"alert6": {
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"sql": "SELECT 'something' as metric",
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"validator_type": ReportScheduleValidatorType.NOT_NULL,
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"validator_config_json": "{}",
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},
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"alert7": {
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"sql": "SELECT {{ 5 + 5 }} as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "!=", "threshold": 11}',
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},
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}
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with app.app_context():
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chart = db.session.query(Slice).first()
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example_database = get_example_database()
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with create_test_table_context(example_database):
|
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|
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report_schedule = create_report_notification(
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email_target="target@email.com",
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chart=chart,
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report_type=ReportScheduleType.ALERT,
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database=example_database,
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sql=param_config[request.param]["sql"],
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validator_type=param_config[request.param]["validator_type"],
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validator_config_json=param_config[request.param][
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"validator_config_json"
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],
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)
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yield report_schedule
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cleanup_report_schedule(report_schedule)
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|
|
|
|
@pytest.fixture(
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|
params=[
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"alert1",
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"alert2",
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"alert3",
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"alert4",
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"alert5",
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"alert6",
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"alert7",
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"alert8",
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"alert9",
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]
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)
|
|
def create_no_alert_email_chart(request):
|
|
param_config = {
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"alert1": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "<", "threshold": 10}',
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},
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"alert2": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": ">=", "threshold": 11}',
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},
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"alert3": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "<", "threshold": 10}',
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},
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"alert4": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "<=", "threshold": 9}',
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},
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"alert5": {
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"sql": "SELECT 10 as metric",
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"validator_type": ReportScheduleValidatorType.OPERATOR,
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"validator_config_json": '{"op": "!=", "threshold": 10}',
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},
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"alert6": {
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"sql": "SELECT first from test_table where 1=0",
|
|
"validator_type": ReportScheduleValidatorType.NOT_NULL,
|
|
"validator_config_json": "{}",
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},
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"alert7": {
|
|
"sql": "SELECT first from test_table where 1=0",
|
|
"validator_type": ReportScheduleValidatorType.OPERATOR,
|
|
"validator_config_json": '{"op": ">", "threshold": 0}',
|
|
},
|
|
"alert8": {
|
|
"sql": "SELECT Null as metric",
|
|
"validator_type": ReportScheduleValidatorType.NOT_NULL,
|
|
"validator_config_json": "{}",
|
|
},
|
|
"alert9": {
|
|
"sql": "SELECT Null as metric",
|
|
"validator_type": ReportScheduleValidatorType.OPERATOR,
|
|
"validator_config_json": '{"op": ">", "threshold": 0}',
|
|
},
|
|
}
|
|
with app.app_context():
|
|
chart = db.session.query(Slice).first()
|
|
example_database = get_example_database()
|
|
with create_test_table_context(example_database):
|
|
|
|
report_schedule = create_report_notification(
|
|
email_target="target@email.com",
|
|
chart=chart,
|
|
report_type=ReportScheduleType.ALERT,
|
|
database=example_database,
|
|
sql=param_config[request.param]["sql"],
|
|
validator_type=param_config[request.param]["validator_type"],
|
|
validator_config_json=param_config[request.param][
|
|
"validator_config_json"
|
|
],
|
|
)
|
|
yield report_schedule
|
|
|
|
cleanup_report_schedule(report_schedule)
|
|
|
|
|
|
@pytest.fixture(params=["alert1", "alert2"])
|
|
def create_mul_alert_email_chart(request):
|
|
param_config = {
|
|
"alert1": {
|
|
"sql": "SELECT first, second from test_table",
|
|
"validator_type": ReportScheduleValidatorType.OPERATOR,
|
|
"validator_config_json": '{"op": "<", "threshold": 10}',
|
|
},
|
|
"alert2": {
|
|
"sql": "SELECT first from test_table",
|
|
"validator_type": ReportScheduleValidatorType.OPERATOR,
|
|
"validator_config_json": '{"op": "<", "threshold": 10}',
|
|
},
|
|
}
|
|
with app.app_context():
|
|
chart = db.session.query(Slice).first()
|
|
example_database = get_example_database()
|
|
with create_test_table_context(example_database):
|
|
|
|
report_schedule = create_report_notification(
|
|
email_target="target@email.com",
|
|
chart=chart,
|
|
report_type=ReportScheduleType.ALERT,
|
|
database=example_database,
|
|
sql=param_config[request.param]["sql"],
|
|
validator_type=param_config[request.param]["validator_type"],
|
|
validator_config_json=param_config[request.param][
|
|
"validator_config_json"
|
|
],
|
|
)
|
|
yield report_schedule
|
|
|
|
cleanup_report_schedule(report_schedule)
|
|
|
|
|
|
@pytest.fixture(params=["alert1", "alert2"])
|
|
def create_invalid_sql_alert_email_chart(request):
|
|
param_config = {
|
|
"alert1": {
|
|
"sql": "SELECT 'string' ",
|
|
"validator_type": ReportScheduleValidatorType.OPERATOR,
|
|
"validator_config_json": '{"op": "<", "threshold": 10}',
|
|
},
|
|
"alert2": {
|
|
"sql": "SELECT first from foo_table",
|
|
"validator_type": ReportScheduleValidatorType.OPERATOR,
|
|
"validator_config_json": '{"op": "<", "threshold": 10}',
|
|
},
|
|
}
|
|
with app.app_context():
|
|
chart = db.session.query(Slice).first()
|
|
example_database = get_example_database()
|
|
with create_test_table_context(example_database):
|
|
|
|
report_schedule = create_report_notification(
|
|
email_target="target@email.com",
|
|
chart=chart,
|
|
report_type=ReportScheduleType.ALERT,
|
|
database=example_database,
|
|
sql=param_config[request.param]["sql"],
|
|
validator_type=param_config[request.param]["validator_type"],
|
|
validator_config_json=param_config[request.param][
|
|
"validator_config_json"
|
|
],
|
|
grace_period=60 * 60,
|
|
)
|
|
yield report_schedule
|
|
|
|
cleanup_report_schedule(report_schedule)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_email_chart_report_schedule(
|
|
screenshot_mock, email_mock, create_report_email_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart email report schedule with screenshot
|
|
"""
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_email_chart
|
|
)
|
|
# assert that the link sent is correct
|
|
assert (
|
|
f'<a href="http://0.0.0.0:8080/superset/slice/'
|
|
f'{create_report_email_chart.chart.id}/">Explore in Superset</a>'
|
|
in email_mock.call_args[0][2]
|
|
)
|
|
# Assert the email smtp address
|
|
assert email_mock.call_args[0][0] == notification_targets[0]
|
|
# Assert the email inline screenshot
|
|
smtp_images = email_mock.call_args[1]["images"]
|
|
assert smtp_images[list(smtp_images.keys())[0]] == SCREENSHOT_FILE
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_email_chart_report_dry_run(
|
|
screenshot_mock, email_mock, create_report_email_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart email report schedule dry run
|
|
"""
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
app.config["ALERT_REPORTS_NOTIFICATION_DRY_RUN"] = True
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
email_mock.assert_not_called()
|
|
app.config["ALERT_REPORTS_NOTIFICATION_DRY_RUN"] = False
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart_with_csv"
|
|
)
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.csv.get_chart_csv_data")
|
|
def test_email_chart_report_schedule_with_csv(
|
|
csv_mock, email_mock, mock_open, mock_urlopen, create_report_email_chart_with_csv,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart email report schedule with CSV
|
|
"""
|
|
# setup csv mock
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 200
|
|
response.read.return_value = CSV_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart_with_csv.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_email_chart_with_csv
|
|
)
|
|
# assert that the link sent is correct
|
|
assert (
|
|
f'<a href="http://0.0.0.0:8080/superset/slice/'
|
|
f'{create_report_email_chart_with_csv.chart.id}/">Explore in Superset</a>'
|
|
in email_mock.call_args[0][2]
|
|
)
|
|
# Assert the email smtp address
|
|
assert email_mock.call_args[0][0] == notification_targets[0]
|
|
# Assert the email csv file
|
|
smtp_images = email_mock.call_args[1]["data"]
|
|
assert smtp_images[list(smtp_images.keys())[0]] == CSV_FILE
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices",
|
|
"create_report_email_chart_with_csv_no_query_context",
|
|
)
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.csv.get_chart_csv_data")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_email_chart_report_schedule_with_csv_no_query_context(
|
|
screenshot_mock,
|
|
csv_mock,
|
|
email_mock,
|
|
mock_open,
|
|
mock_urlopen,
|
|
create_report_email_chart_with_csv_no_query_context,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart email report schedule with CSV (no query context)
|
|
"""
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
# setup csv mock
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 200
|
|
response.read.return_value = CSV_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID,
|
|
create_report_email_chart_with_csv_no_query_context.id,
|
|
datetime.utcnow(),
|
|
).run()
|
|
|
|
# verify that when query context is null we request a screenshot
|
|
screenshot_mock.assert_called_once()
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart_with_text"
|
|
)
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.csv.get_chart_dataframe")
|
|
def test_email_chart_report_schedule_with_text(
|
|
dataframe_mock,
|
|
email_mock,
|
|
mock_open,
|
|
mock_urlopen,
|
|
create_report_email_chart_with_text,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart email report schedule with text
|
|
"""
|
|
# setup dataframe mock
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 200
|
|
response.read.return_value = json.dumps(
|
|
{
|
|
"result": [
|
|
{
|
|
"data": {
|
|
"t1": {0: "c11", 1: "c21"},
|
|
"t2": {0: "c12", 1: "c22"},
|
|
"t3__sum": {0: "c13", 1: "c23"},
|
|
},
|
|
"colnames": [("t1",), ("t2",), ("t3__sum",)],
|
|
"indexnames": [(0,), (1,)],
|
|
},
|
|
],
|
|
}
|
|
).encode("utf-8")
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart_with_text.id, datetime.utcnow()
|
|
).run()
|
|
|
|
# assert that the data is embedded correctly
|
|
table_html = """<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr>
|
|
<th></th>
|
|
<th>t1</th>
|
|
<th>t2</th>
|
|
<th>t3__sum</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>c11</td>
|
|
<td>c12</td>
|
|
<td>c13</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>c21</td>
|
|
<td>c22</td>
|
|
<td>c23</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>"""
|
|
assert table_html in email_mock.call_args[0][2]
|
|
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_dashboard"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.DashboardScreenshot.get_screenshot")
|
|
def test_email_dashboard_report_schedule(
|
|
screenshot_mock, email_mock, create_report_email_dashboard
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test dashboard email report schedule
|
|
"""
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_dashboard.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_email_dashboard
|
|
)
|
|
# Assert the email smtp address
|
|
assert email_mock.call_args[0][0] == notification_targets[0]
|
|
# Assert the email inline screenshot
|
|
smtp_images = email_mock.call_args[1]["images"]
|
|
assert smtp_images[list(smtp_images.keys())[0]] == SCREENSHOT_FILE
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_slack_chart"
|
|
)
|
|
@patch("superset.reports.notifications.slack.WebClient.files_upload")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_slack_chart_report_schedule(
|
|
screenshot_mock, file_upload_mock, create_report_slack_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart slack report schedule
|
|
"""
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_slack_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_slack_chart
|
|
)
|
|
assert file_upload_mock.call_args[1]["channels"] == notification_targets[0]
|
|
assert file_upload_mock.call_args[1]["file"] == SCREENSHOT_FILE
|
|
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_slack_chart_with_csv"
|
|
)
|
|
@patch("superset.reports.notifications.slack.WebClient.files_upload")
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.utils.csv.get_chart_csv_data")
|
|
def test_slack_chart_report_schedule_with_csv(
|
|
csv_mock,
|
|
mock_open,
|
|
mock_urlopen,
|
|
file_upload_mock,
|
|
create_report_slack_chart_with_csv,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart slack report schedule with CSV
|
|
"""
|
|
# setup csv mock
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 200
|
|
response.read.return_value = CSV_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_slack_chart_with_csv.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_slack_chart_with_csv
|
|
)
|
|
assert file_upload_mock.call_args[1]["channels"] == notification_targets[0]
|
|
assert file_upload_mock.call_args[1]["file"] == CSV_FILE
|
|
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_slack_chart_with_text"
|
|
)
|
|
@patch("superset.reports.notifications.slack.WebClient.chat_postMessage")
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.utils.csv.get_chart_dataframe")
|
|
def test_slack_chart_report_schedule_with_text(
|
|
dataframe_mock,
|
|
mock_open,
|
|
mock_urlopen,
|
|
post_message_mock,
|
|
create_report_slack_chart_with_text,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart slack report schedule with text
|
|
"""
|
|
# setup dataframe mock
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 200
|
|
response.read.return_value = json.dumps(
|
|
{
|
|
"result": [
|
|
{
|
|
"data": {
|
|
"t1": {0: "c11", 1: "c21"},
|
|
"t2": {0: "c12", 1: "c22"},
|
|
"t3__sum": {0: "c13", 1: "c23"},
|
|
},
|
|
"colnames": [("t1",), ("t2",), ("t3__sum",)],
|
|
"indexnames": [(0,), (1,)],
|
|
},
|
|
],
|
|
}
|
|
).encode("utf-8")
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_slack_chart_with_text.id, datetime.utcnow()
|
|
).run()
|
|
|
|
table_markdown = """| | t1 | t2 | t3__sum |
|
|
|---:|:-----|:-----|:----------|
|
|
| 0 | c11 | c12 | c13 |
|
|
| 1 | c21 | c22 | c23 |"""
|
|
assert table_markdown in post_message_mock.call_args[1]["text"]
|
|
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures("create_report_slack_chart")
|
|
def test_report_schedule_not_found(create_report_slack_chart):
|
|
"""
|
|
ExecuteReport Command: Test report schedule not found
|
|
"""
|
|
max_id = db.session.query(func.max(ReportSchedule.id)).scalar()
|
|
with pytest.raises(ReportScheduleNotFoundError):
|
|
AsyncExecuteReportScheduleCommand(TEST_ID, max_id + 1, datetime.utcnow()).run()
|
|
|
|
|
|
@pytest.mark.usefixtures("create_report_slack_chart_working")
|
|
def test_report_schedule_working(create_report_slack_chart_working):
|
|
"""
|
|
ExecuteReport Command: Test report schedule still working
|
|
"""
|
|
# setup screenshot mock
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
with pytest.raises(ReportSchedulePreviousWorkingError):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_slack_chart_working.id, datetime.utcnow()
|
|
).run()
|
|
|
|
assert_log(
|
|
ReportState.WORKING,
|
|
error_message=ReportSchedulePreviousWorkingError.message,
|
|
)
|
|
assert create_report_slack_chart_working.last_state == ReportState.WORKING
|
|
|
|
|
|
@pytest.mark.usefixtures("create_report_slack_chart_working")
|
|
def test_report_schedule_working_timeout(create_report_slack_chart_working):
|
|
"""
|
|
ExecuteReport Command: Test report schedule still working but should timed out
|
|
"""
|
|
current_time = create_report_slack_chart_working.last_eval_dttm + timedelta(
|
|
seconds=create_report_slack_chart_working.working_timeout + 1
|
|
)
|
|
with freeze_time(current_time):
|
|
|
|
with pytest.raises(ReportScheduleWorkingTimeoutError):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_slack_chart_working.id, datetime.utcnow()
|
|
).run()
|
|
|
|
# Only needed for MySQL, understand why
|
|
db.session.commit()
|
|
logs = db.session.query(ReportExecutionLog).all()
|
|
# Two logs, first is created by fixture
|
|
assert len(logs) == 2
|
|
assert ReportScheduleWorkingTimeoutError.message in [
|
|
log.error_message for log in logs
|
|
]
|
|
assert create_report_slack_chart_working.last_state == ReportState.ERROR
|
|
|
|
|
|
@pytest.mark.usefixtures("create_alert_slack_chart_success")
|
|
def test_report_schedule_success_grace(create_alert_slack_chart_success):
|
|
"""
|
|
ExecuteReport Command: Test report schedule on success to grace
|
|
"""
|
|
# set current time to within the grace period
|
|
current_time = create_alert_slack_chart_success.last_eval_dttm + timedelta(
|
|
seconds=create_alert_slack_chart_success.grace_period - 10
|
|
)
|
|
|
|
with freeze_time(current_time):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_slack_chart_success.id, datetime.utcnow()
|
|
).run()
|
|
|
|
db.session.commit()
|
|
assert create_alert_slack_chart_success.last_state == ReportState.GRACE
|
|
|
|
|
|
@pytest.mark.usefixtures("create_alert_slack_chart_grace")
|
|
@patch("superset.reports.notifications.slack.WebClient.files_upload")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_report_schedule_success_grace_end(
|
|
screenshot_mock, file_upload_mock, create_alert_slack_chart_grace
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test report schedule on grace to noop
|
|
"""
|
|
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
# set current time to after the grace period
|
|
current_time = create_alert_slack_chart_grace.last_eval_dttm + timedelta(
|
|
seconds=create_alert_slack_chart_grace.grace_period + 1
|
|
)
|
|
|
|
with freeze_time(current_time):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_slack_chart_grace.id, datetime.utcnow()
|
|
).run()
|
|
|
|
db.session.commit()
|
|
assert create_alert_slack_chart_grace.last_state == ReportState.SUCCESS
|
|
|
|
|
|
@pytest.mark.usefixtures("create_alert_email_chart")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_alert_limit_is_applied(
|
|
screenshot_mock, email_mock, create_alert_email_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test that all alerts apply a SQL limit to stmts
|
|
"""
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
with patch.object(
|
|
create_alert_email_chart.database.db_engine_spec, "execute", return_value=None
|
|
) as execute_mock:
|
|
with patch.object(
|
|
create_alert_email_chart.database.db_engine_spec,
|
|
"fetch_data",
|
|
return_value=None,
|
|
) as fetch_data_mock:
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
assert "LIMIT 2" in execute_mock.call_args[0][1]
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_dashboard"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.DashboardScreenshot.get_screenshot")
|
|
def test_email_dashboard_report_fails(
|
|
screenshot_mock, email_mock, create_report_email_dashboard
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test dashboard email report schedule notification fails
|
|
"""
|
|
# setup screenshot mock
|
|
from smtplib import SMTPException
|
|
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
email_mock.side_effect = SMTPException("Could not connect to SMTP XPTO")
|
|
|
|
with pytest.raises(ReportScheduleNotificationError):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_dashboard.id, datetime.utcnow()
|
|
).run()
|
|
|
|
assert_log(ReportState.ERROR, error_message="Could not connect to SMTP XPTO")
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_alert_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
@patch.dict(
|
|
"superset.extensions.feature_flag_manager._feature_flags",
|
|
ALERTS_ATTACH_REPORTS=True,
|
|
)
|
|
def test_slack_chart_alert(
|
|
screenshot_mock, email_mock, create_alert_email_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart slack alert
|
|
"""
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(create_alert_email_chart)
|
|
# Assert the email smtp address
|
|
assert email_mock.call_args[0][0] == notification_targets[0]
|
|
# Assert the email inline screenshot
|
|
smtp_images = email_mock.call_args[1]["images"]
|
|
assert smtp_images[list(smtp_images.keys())[0]] == SCREENSHOT_FILE
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_alert_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch.dict(
|
|
"superset.extensions.feature_flag_manager._feature_flags",
|
|
ALERTS_ATTACH_REPORTS=False,
|
|
)
|
|
def test_slack_chart_alert_no_attachment(email_mock, create_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test chart slack alert
|
|
"""
|
|
# setup screenshot mock
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(create_alert_email_chart)
|
|
# Assert the email smtp address
|
|
assert email_mock.call_args[0][0] == notification_targets[0]
|
|
# Assert the there is no attached image
|
|
assert email_mock.call_args[1]["images"] is None
|
|
# Assert logs are correct
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_slack_chart"
|
|
)
|
|
@patch("superset.reports.notifications.slack.WebClient")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_slack_token_callable_chart_report(
|
|
screenshot_mock, slack_client_mock_class, create_report_slack_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test chart slack alert (slack token callable)
|
|
"""
|
|
slack_client_mock_class.return_value = Mock()
|
|
app.config["SLACK_API_TOKEN"] = Mock(return_value="cool_code")
|
|
# setup screenshot mock
|
|
screenshot_mock.return_value = SCREENSHOT_FILE
|
|
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_slack_chart.id, datetime.utcnow()
|
|
).run()
|
|
app.config["SLACK_API_TOKEN"].assert_called_once()
|
|
assert slack_client_mock_class.called_with(token="cool_code", proxy="")
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures("create_no_alert_email_chart")
|
|
def test_email_chart_no_alert(create_no_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test chart email no alert
|
|
"""
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_no_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
assert_log(ReportState.NOOP)
|
|
|
|
|
|
@pytest.mark.usefixtures("create_mul_alert_email_chart")
|
|
def test_email_mul_alert(create_mul_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test chart email multiple rows
|
|
"""
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
with pytest.raises(
|
|
(AlertQueryMultipleRowsError, AlertQueryMultipleColumnsError)
|
|
):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_mul_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_alert_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
def test_soft_timeout_alert(email_mock, create_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test soft timeout on alert queries
|
|
"""
|
|
from celery.exceptions import SoftTimeLimitExceeded
|
|
|
|
from superset.reports.commands.exceptions import AlertQueryTimeout
|
|
|
|
with patch.object(
|
|
create_alert_email_chart.database.db_engine_spec, "execute", return_value=None
|
|
) as execute_mock:
|
|
execute_mock.side_effect = SoftTimeLimitExceeded()
|
|
with pytest.raises(AlertQueryTimeout):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(create_alert_email_chart)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
assert_log(
|
|
ReportState.ERROR, error_message="A timeout occurred while executing the query."
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_alert_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
@patch.dict(
|
|
"superset.extensions.feature_flag_manager._feature_flags",
|
|
ALERTS_ATTACH_REPORTS=True,
|
|
)
|
|
def test_soft_timeout_screenshot(screenshot_mock, email_mock, create_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test soft timeout on screenshot
|
|
"""
|
|
from celery.exceptions import SoftTimeLimitExceeded
|
|
|
|
screenshot_mock.side_effect = SoftTimeLimitExceeded()
|
|
with pytest.raises(ReportScheduleScreenshotTimeout):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
assert_log(
|
|
ReportState.ERROR, error_message="A timeout occurred while taking a screenshot."
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart_with_csv"
|
|
)
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.csv.get_chart_csv_data")
|
|
def test_soft_timeout_csv(
|
|
csv_mock, email_mock, mock_open, mock_urlopen, create_report_email_chart_with_csv,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test fail on generating csv
|
|
"""
|
|
from celery.exceptions import SoftTimeLimitExceeded
|
|
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.side_effect = SoftTimeLimitExceeded()
|
|
|
|
with pytest.raises(ReportScheduleCsvTimeout):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart_with_csv.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_email_chart_with_csv
|
|
)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
assert_log(
|
|
ReportState.ERROR, error_message="A timeout occurred while generating a csv.",
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart_with_csv"
|
|
)
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.csv.get_chart_csv_data")
|
|
def test_generate_no_csv(
|
|
csv_mock, email_mock, mock_open, mock_urlopen, create_report_email_chart_with_csv,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test fail on generating csv
|
|
"""
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 200
|
|
response.read.return_value = None
|
|
|
|
with pytest.raises(ReportScheduleCsvFailedError):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart_with_csv.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_email_chart_with_csv
|
|
)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
assert_log(
|
|
ReportState.ERROR,
|
|
error_message="Report Schedule execution failed when generating a csv.",
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_fail_screenshot(screenshot_mock, email_mock, create_report_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test soft timeout on screenshot
|
|
"""
|
|
from celery.exceptions import SoftTimeLimitExceeded
|
|
|
|
from superset.reports.commands.exceptions import AlertQueryTimeout
|
|
|
|
screenshot_mock.side_effect = Exception("Unexpected error")
|
|
with pytest.raises(ReportScheduleScreenshotFailedError):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(create_report_email_chart)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
assert_log(
|
|
ReportState.ERROR, error_message="Failed taking a screenshot Unexpected error"
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_chart_with_csv"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.csv.urllib.request.urlopen")
|
|
@patch("superset.utils.csv.urllib.request.OpenerDirector.open")
|
|
@patch("superset.utils.csv.get_chart_csv_data")
|
|
def test_fail_csv(
|
|
csv_mock, mock_open, mock_urlopen, email_mock, create_report_email_chart_with_csv
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test error on csv
|
|
"""
|
|
|
|
response = Mock()
|
|
mock_open.return_value = response
|
|
mock_urlopen.return_value = response
|
|
mock_urlopen.return_value.getcode.return_value = 500
|
|
|
|
with pytest.raises(ReportScheduleCsvFailedError):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_report_email_chart_with_csv.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_report_email_chart_with_csv
|
|
)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
assert_log(
|
|
ReportState.ERROR, error_message="Failed generating csv <urlopen error 500>"
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_alert_email_chart"
|
|
)
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch.dict(
|
|
"superset.extensions.feature_flag_manager._feature_flags",
|
|
ALERTS_ATTACH_REPORTS=False,
|
|
)
|
|
def test_email_disable_screenshot(email_mock, create_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test soft timeout on screenshot
|
|
"""
|
|
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(create_alert_email_chart)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == notification_targets[0]
|
|
# Assert the there is no attached image
|
|
assert email_mock.call_args[1]["images"] is None
|
|
|
|
assert_log(ReportState.SUCCESS)
|
|
|
|
|
|
@pytest.mark.usefixtures("create_invalid_sql_alert_email_chart")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
def test_invalid_sql_alert(email_mock, create_invalid_sql_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test alert with invalid SQL statements
|
|
"""
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_invalid_sql_alert_email_chart
|
|
)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
|
|
|
|
@pytest.mark.usefixtures("create_invalid_sql_alert_email_chart")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
def test_grace_period_error(email_mock, create_invalid_sql_alert_email_chart):
|
|
"""
|
|
ExecuteReport Command: Test alert grace period on error
|
|
"""
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
# Only needed for MySQL, understand why
|
|
db.session.commit()
|
|
notification_targets = get_target_from_report_schedule(
|
|
create_invalid_sql_alert_email_chart
|
|
)
|
|
# Assert the email smtp address, asserts a notification was sent with the error
|
|
assert email_mock.call_args[0][0] == OWNER_EMAIL
|
|
assert (
|
|
get_notification_error_sent_count(create_invalid_sql_alert_email_chart) == 1
|
|
)
|
|
|
|
with freeze_time("2020-01-01T00:30:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
db.session.commit()
|
|
assert (
|
|
get_notification_error_sent_count(create_invalid_sql_alert_email_chart) == 1
|
|
)
|
|
|
|
# Grace period ends, assert a notification was sent
|
|
with freeze_time("2020-01-01T01:30:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
db.session.commit()
|
|
assert (
|
|
get_notification_error_sent_count(create_invalid_sql_alert_email_chart) == 2
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures("create_invalid_sql_alert_email_chart")
|
|
@patch("superset.reports.notifications.email.send_email_smtp")
|
|
@patch("superset.utils.screenshots.ChartScreenshot.get_screenshot")
|
|
def test_grace_period_error_flap(
|
|
screenshot_mock, email_mock, create_invalid_sql_alert_email_chart,
|
|
):
|
|
"""
|
|
ExecuteReport Command: Test alert grace period on error
|
|
"""
|
|
with freeze_time("2020-01-01T00:00:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
db.session.commit()
|
|
# Assert we have 1 notification sent on the log
|
|
assert (
|
|
get_notification_error_sent_count(create_invalid_sql_alert_email_chart) == 1
|
|
)
|
|
|
|
with freeze_time("2020-01-01T00:30:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
db.session.commit()
|
|
assert (
|
|
get_notification_error_sent_count(create_invalid_sql_alert_email_chart) == 1
|
|
)
|
|
|
|
# Change report_schedule to valid
|
|
create_invalid_sql_alert_email_chart.sql = "SELECT 1 AS metric"
|
|
create_invalid_sql_alert_email_chart.grace_period = 0
|
|
db.session.merge(create_invalid_sql_alert_email_chart)
|
|
db.session.commit()
|
|
|
|
with freeze_time("2020-01-01T00:31:00Z"):
|
|
# One success
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
# Grace period ends
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
|
|
db.session.commit()
|
|
|
|
create_invalid_sql_alert_email_chart.sql = "SELECT 'first'"
|
|
create_invalid_sql_alert_email_chart.grace_period = 10
|
|
db.session.merge(create_invalid_sql_alert_email_chart)
|
|
db.session.commit()
|
|
|
|
# assert that after a success, when back to error we send the error notification
|
|
# again
|
|
with freeze_time("2020-01-01T00:32:00Z"):
|
|
with pytest.raises((AlertQueryError, AlertQueryInvalidTypeError)):
|
|
AsyncExecuteReportScheduleCommand(
|
|
TEST_ID, create_invalid_sql_alert_email_chart.id, datetime.utcnow()
|
|
).run()
|
|
db.session.commit()
|
|
assert (
|
|
get_notification_error_sent_count(create_invalid_sql_alert_email_chart) == 2
|
|
)
|
|
|
|
|
|
@pytest.mark.usefixtures(
|
|
"load_birth_names_dashboard_with_slices", "create_report_email_dashboard"
|
|
)
|
|
@patch("superset.reports.dao.ReportScheduleDAO.bulk_delete_logs")
|
|
def test_prune_log_soft_time_out(bulk_delete_logs, create_report_email_dashboard):
|
|
from datetime import datetime, timedelta
|
|
|
|
from celery.exceptions import SoftTimeLimitExceeded
|
|
|
|
bulk_delete_logs.side_effect = SoftTimeLimitExceeded()
|
|
with pytest.raises(SoftTimeLimitExceeded) as excinfo:
|
|
AsyncPruneReportScheduleLogCommand().run()
|
|
assert str(excinfo.value) == "SoftTimeLimitExceeded()"
|