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feat: new reports scheduler (#11711)
* feat(reports): scheduler and delivery system * working version * improvements and fix grace_period * add tests and fix bugs * fix report API test * test MySQL test fail * delete-orphans * fix MySQL tests * address comments * lint
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# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
import json | ||
import logging | ||
from operator import eq, ge, gt, le, lt, ne | ||
from typing import Optional | ||
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import numpy as np | ||
from flask_babel import lazy_gettext as _ | ||
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from superset import jinja_context | ||
from superset.commands.base import BaseCommand | ||
from superset.models.reports import ReportSchedule, ReportScheduleValidatorType | ||
from superset.reports.commands.exceptions import ( | ||
AlertQueryInvalidTypeError, | ||
AlertQueryMultipleColumnsError, | ||
AlertQueryMultipleRowsError, | ||
) | ||
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logger = logging.getLogger(__name__) | ||
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OPERATOR_FUNCTIONS = {">=": ge, ">": gt, "<=": le, "<": lt, "==": eq, "!=": ne} | ||
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class AlertCommand(BaseCommand): | ||
def __init__(self, report_schedule: ReportSchedule): | ||
self._report_schedule = report_schedule | ||
self._result: Optional[float] = None | ||
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def run(self) -> bool: | ||
self.validate() | ||
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if self._report_schedule.validator_type == ReportScheduleValidatorType.NOT_NULL: | ||
self._report_schedule.last_value_row_json = self._result | ||
return self._result not in (0, None, np.nan) | ||
self._report_schedule.last_value = self._result | ||
operator = json.loads(self._report_schedule.validator_config_json)["op"] | ||
threshold = json.loads(self._report_schedule.validator_config_json)["threshold"] | ||
return OPERATOR_FUNCTIONS[operator](self._result, threshold) | ||
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def _validate_not_null(self, rows: np.recarray) -> None: | ||
self._result = rows[0][1] | ||
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def _validate_operator(self, rows: np.recarray) -> None: | ||
# check if query return more then one row | ||
if len(rows) > 1: | ||
raise AlertQueryMultipleRowsError( | ||
message=_( | ||
"Alert query returned more then one row. %s rows returned" | ||
% len(rows), | ||
) | ||
) | ||
# check if query returned more then one column | ||
if len(rows[0]) > 2: | ||
raise AlertQueryMultipleColumnsError( | ||
_( | ||
"Alert query returned more then one column. %s columns returned" | ||
% len(rows[0]) | ||
) | ||
) | ||
if rows[0][1] is None: | ||
return | ||
try: | ||
# Check if it's float or if we can convert it | ||
self._result = float(rows[0][1]) | ||
return | ||
except (AssertionError, TypeError, ValueError): | ||
raise AlertQueryInvalidTypeError() | ||
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def validate(self) -> None: | ||
""" | ||
Validate the query result as a Pandas DataFrame | ||
""" | ||
sql_template = jinja_context.get_template_processor( | ||
database=self._report_schedule.database | ||
) | ||
rendered_sql = sql_template.process_template(self._report_schedule.sql) | ||
df = self._report_schedule.database.get_df(rendered_sql) | ||
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if df.empty: | ||
return | ||
rows = df.to_records() | ||
if self._report_schedule.validator_type == ReportScheduleValidatorType.NOT_NULL: | ||
self._validate_not_null(rows) | ||
return | ||
self._validate_operator(rows) |
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