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171 lines
5.0 KiB
Python
171 lines
5.0 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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from flask_babel import lazy_gettext as _
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from marshmallow.validate import ValidationError
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from superset.commands.exceptions import (
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CommandException,
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CommandInvalidError,
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CreateFailedError,
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DeleteFailedError,
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ForbiddenError,
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UpdateFailedError,
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)
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from superset.views.base import get_datasource_exist_error_msg
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class DatabaseNotFoundValidationError(ValidationError):
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"""
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Marshmallow validation error for database does not exist
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"""
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def __init__(self) -> None:
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super().__init__(_("Database does not exist"), field_names=["database"])
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class DatabaseChangeValidationError(ValidationError):
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"""
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Marshmallow validation error database changes are not allowed on update
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"""
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def __init__(self) -> None:
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super().__init__(_("Database not allowed to change"), field_names=["database"])
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class DatasetExistsValidationError(ValidationError):
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"""
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Marshmallow validation error for dataset already exists
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"""
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def __init__(self, table_name: str) -> None:
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super().__init__(
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get_datasource_exist_error_msg(table_name), field_names=["table_name"]
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)
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class DatasetColumnNotFoundValidationError(ValidationError):
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"""
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Marshmallow validation error when dataset column for update does not exist
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"""
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def __init__(self) -> None:
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super().__init__(_("One or more columns do not exist"), field_names=["columns"])
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class DatasetColumnsDuplicateValidationError(ValidationError):
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"""
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Marshmallow validation error when dataset columns have a duplicate on the list
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"""
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def __init__(self) -> None:
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super().__init__(
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_("One or more columns are duplicated"), field_names=["columns"]
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)
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class DatasetColumnsExistsValidationError(ValidationError):
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"""
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Marshmallow validation error when dataset columns already exist
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"""
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def __init__(self) -> None:
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super().__init__(
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_("One or more columns already exist"), field_names=["columns"]
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)
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class DatasetMetricsNotFoundValidationError(ValidationError):
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"""
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Marshmallow validation error when dataset metric for update does not exist
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"""
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def __init__(self) -> None:
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super().__init__(_("One or more metrics do not exist"), field_names=["metrics"])
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class DatasetMetricsDuplicateValidationError(ValidationError):
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"""
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Marshmallow validation error when dataset metrics have a duplicate on the list
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"""
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def __init__(self) -> None:
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super().__init__(
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_("One or more metrics are duplicated"), field_names=["metrics"]
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)
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class DatasetMetricsExistsValidationError(ValidationError):
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"""
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Marshmallow validation error when dataset metrics already exist
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"""
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def __init__(self) -> None:
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super().__init__(
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_("One or more metrics already exist"), field_names=["metrics"]
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)
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class TableNotFoundValidationError(ValidationError):
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"""
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Marshmallow validation error when a table does not exist on the database
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"""
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def __init__(self, table_name: str) -> None:
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super().__init__(
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_(
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"Table [%(table_name)s] could not be found, "
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"please double check your "
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"database connection, schema, and "
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"table name",
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table_name=table_name,
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),
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field_names=["table_name"],
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)
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class OwnersNotFoundValidationError(ValidationError):
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def __init__(self) -> None:
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super().__init__(_("Owners are invalid"), field_names=["owners"])
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class DatasetNotFoundError(CommandException):
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message = "Dataset not found."
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class DatasetInvalidError(CommandInvalidError):
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message = _("Dataset parameters are invalid.")
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class DatasetCreateFailedError(CreateFailedError):
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message = _("Dataset could not be created.")
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class DatasetUpdateFailedError(UpdateFailedError):
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message = _("Dataset could not be updated.")
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class DatasetDeleteFailedError(DeleteFailedError):
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message = _("Dataset could not be deleted.")
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class DatasetRefreshFailedError(UpdateFailedError):
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message = _("Dataset could not be updated.")
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class DatasetForbiddenError(ForbiddenError):
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message = _("Changing this dataset is forbidden")
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