blob: 6f6cc8ada659e6e2f9d745718baecce136319fc8 [file] [log] [blame]
# 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 re
from flask_babel import lazy_gettext as _
from marshmallow import fields, Schema, ValidationError
from marshmallow.validate import Length
get_delete_ids_schema = {"type": "array", "items": {"type": "integer"}}
get_export_ids_schema = {"type": "array", "items": {"type": "integer"}}
def validate_python_date_format(value: str) -> None:
regex = re.compile(
r"""
^(
epoch_s|epoch_ms|
(?P<date>%Y(-%m(-%d)?)?)([\sT](?P<time>%H(:%M(:%S(\.%f)?)?)?))?
)$
""",
re.VERBOSE,
)
match = regex.match(value or "")
if not match:
raise ValidationError(_("Invalid date/timestamp format"))
class DatasetColumnsPutSchema(Schema):
id = fields.Integer()
column_name = fields.String(required=True, validate=Length(1, 255))
type = fields.String(validate=Length(1, 32))
verbose_name = fields.String(allow_none=True, Length=(1, 1024))
description = fields.String(allow_none=True)
expression = fields.String(allow_none=True)
filterable = fields.Boolean()
groupby = fields.Boolean()
is_active = fields.Boolean()
is_dttm = fields.Boolean(default=False)
python_date_format = fields.String(
allow_none=True, validate=[Length(1, 255), validate_python_date_format]
)
uuid = fields.String(allow_none=True)
class DatasetMetricsPutSchema(Schema):
id = fields.Integer()
expression = fields.String(required=True)
description = fields.String(allow_none=True)
metric_name = fields.String(required=True, validate=Length(1, 255))
metric_type = fields.String(allow_none=True, validate=Length(1, 32))
d3format = fields.String(allow_none=True, validate=Length(1, 128))
warning_text = fields.String(allow_none=True)
class DatasetPostSchema(Schema):
database = fields.Integer(required=True)
schema = fields.String(validate=Length(0, 250))
table_name = fields.String(required=True, allow_none=False, validate=Length(1, 250))
owners = fields.List(fields.Integer())
class DatasetPutSchema(Schema):
table_name = fields.String(allow_none=True, validate=Length(1, 250))
database_id = fields.Integer()
sql = fields.String(allow_none=True)
filter_select_enabled = fields.Boolean(allow_none=True)
fetch_values_predicate = fields.String(allow_none=True, validate=Length(0, 1000))
schema = fields.String(allow_none=True, validate=Length(0, 255))
description = fields.String(allow_none=True)
main_dttm_col = fields.String(allow_none=True)
offset = fields.Integer(allow_none=True)
default_endpoint = fields.String(allow_none=True)
cache_timeout = fields.Integer(allow_none=True)
is_sqllab_view = fields.Boolean(allow_none=True)
template_params = fields.String(allow_none=True)
owners = fields.List(fields.Integer())
columns = fields.List(fields.Nested(DatasetColumnsPutSchema))
metrics = fields.List(fields.Nested(DatasetMetricsPutSchema))
extra = fields.String(allow_none=True)
class DatasetRelatedChart(Schema):
id = fields.Integer()
slice_name = fields.String()
viz_type = fields.String()
class DatasetRelatedDashboard(Schema):
id = fields.Integer()
json_metadata = fields.Dict()
slug = fields.String()
title = fields.String()
class DatasetRelatedCharts(Schema):
count = fields.Integer(description="Chart count")
result = fields.List(
fields.Nested(DatasetRelatedChart), description="A list of dashboards"
)
class DatasetRelatedDashboards(Schema):
count = fields.Integer(description="Dashboard count")
result = fields.List(
fields.Nested(DatasetRelatedDashboard), description="A list of dashboards"
)
class DatasetRelatedObjectsResponse(Schema):
charts = fields.Nested(DatasetRelatedCharts)
dashboards = fields.Nested(DatasetRelatedDashboards)
class ImportV1ColumnSchema(Schema):
column_name = fields.String(required=True)
verbose_name = fields.String(allow_none=True)
is_dttm = fields.Boolean(default=False, allow_none=True)
is_active = fields.Boolean(default=True, allow_none=True)
type = fields.String(allow_none=True)
groupby = fields.Boolean()
filterable = fields.Boolean()
expression = fields.String(allow_none=True)
description = fields.String(allow_none=True)
python_date_format = fields.String(allow_none=True)
class ImportV1MetricSchema(Schema):
metric_name = fields.String(required=True)
verbose_name = fields.String(allow_none=True)
metric_type = fields.String(allow_none=True)
expression = fields.String(required=True)
description = fields.String(allow_none=True)
d3format = fields.String(allow_none=True)
extra = fields.Dict(allow_none=True)
warning_text = fields.String(allow_none=True)
class ImportV1DatasetSchema(Schema):
table_name = fields.String(required=True)
main_dttm_col = fields.String(allow_none=True)
description = fields.String(allow_none=True)
default_endpoint = fields.String(allow_none=True)
offset = fields.Integer()
cache_timeout = fields.Integer(allow_none=True)
schema = fields.String(allow_none=True)
sql = fields.String(allow_none=True)
params = fields.Dict(allow_none=True)
template_params = fields.Dict(allow_none=True)
filter_select_enabled = fields.Boolean()
fetch_values_predicate = fields.String(allow_none=True)
extra = fields.Dict(allow_none=True)
uuid = fields.UUID(required=True)
columns = fields.List(fields.Nested(ImportV1ColumnSchema))
metrics = fields.List(fields.Nested(ImportV1MetricSchema))
version = fields.String(required=True)
database_uuid = fields.UUID(required=True)
data = fields.URL()