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chore: Migrate /superset/csv/<client_id> to API v1
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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. | ||
# pylint: disable=too-few-public-methods, too-many-arguments | ||
from __future__ import annotations | ||
|
||
import logging | ||
from typing import Any, cast, Dict | ||
|
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import pandas as pd | ||
from flask_babel import gettext as __, lazy_gettext as _ | ||
|
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from superset import app, db, results_backend, results_backend_use_msgpack | ||
from superset.commands.base import BaseCommand | ||
from superset.errors import ErrorLevel, SupersetError, SupersetErrorType | ||
from superset.exceptions import SupersetErrorException, SupersetSecurityException | ||
from superset.models.sql_lab import Query | ||
from superset.sql_parse import ParsedQuery | ||
from superset.sqllab.limiting_factor import LimitingFactor | ||
from superset.utils import core as utils, csv | ||
from superset.utils.dates import now_as_float | ||
from superset.views.utils import _deserialize_results_payload | ||
|
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config = app.config | ||
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logger = logging.getLogger(__name__) | ||
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class SqlResultExportCommand(BaseCommand): | ||
_client_id: str | ||
_query: Query | ||
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def __init__( | ||
self, | ||
client_id: str, | ||
) -> None: | ||
self._client_id = client_id | ||
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def validate(self) -> None: | ||
self._query = ( | ||
db.session.query(Query).filter_by(client_id=self._client_id).one_or_none() | ||
) | ||
if self._query is None: | ||
raise SupersetErrorException( | ||
SupersetError( | ||
message=__( | ||
"The query associated with these results could not be found. " | ||
"You need to re-run the original query." | ||
), | ||
error_type=SupersetErrorType.RESULTS_BACKEND_ERROR, | ||
level=ErrorLevel.ERROR, | ||
), | ||
status=404, | ||
) | ||
|
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try: | ||
self._query.raise_for_access() | ||
except SupersetSecurityException: | ||
raise SupersetErrorException( | ||
SupersetError( | ||
message=__("Cannot access the query"), | ||
error_type=SupersetErrorType.QUERY_SECURITY_ACCESS_ERROR, | ||
level=ErrorLevel.ERROR, | ||
), | ||
status=403, | ||
) | ||
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def run( | ||
self, | ||
) -> Dict[str, Any]: | ||
self.validate() | ||
blob = None | ||
if results_backend and self._query.results_key: | ||
logger.info( | ||
"Fetching CSV from results backend [%s]", self._query.results_key | ||
) | ||
blob = results_backend.get(self._query.results_key) | ||
if blob: | ||
logger.info("Decompressing") | ||
payload = utils.zlib_decompress( | ||
blob, decode=not results_backend_use_msgpack | ||
) | ||
obj = _deserialize_results_payload( | ||
payload, self._query, cast(bool, results_backend_use_msgpack) | ||
) | ||
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df = pd.DataFrame( | ||
data=obj["data"], | ||
dtype=object, | ||
columns=[c["name"] for c in obj["columns"]], | ||
) | ||
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logger.info("Using pandas to convert to CSV") | ||
else: | ||
logger.info("Running a query to turn into CSV") | ||
if self._query.select_sql: | ||
sql = self._query.select_sql | ||
limit = None | ||
else: | ||
sql = self._query.executed_sql | ||
limit = ParsedQuery(sql).limit | ||
if limit is not None and self._query.limiting_factor in { | ||
LimitingFactor.QUERY, | ||
LimitingFactor.DROPDOWN, | ||
LimitingFactor.QUERY_AND_DROPDOWN, | ||
}: | ||
# remove extra row from `increased_limit` | ||
limit -= 1 | ||
df = self._query.database.get_df(sql, self._query.schema)[:limit] | ||
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csv_data = csv.df_to_escaped_csv(df, index=False, **config["CSV_EXPORT"]) | ||
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return { | ||
"query": self._query, | ||
"count": len(df.index), | ||
"data": csv_data, | ||
} |
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