superset schemas 源码
superset schemas 代码
文件路径:/superset/explore/schemas.py
# 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.
from marshmallow import fields, Schema
class DatasetSchema(Schema):
cache_timeout = fields.Integer(
description="Duration (in seconds) of the caching timeout for this dataset."
)
column_formats = fields.Dict(description="Column formats.")
columns = fields.List(fields.Dict(), description="Columns metadata.")
database = fields.Dict(description="Database associated with the dataset.")
datasource_name = fields.String(description="Dataset name.")
default_endpoint = fields.String(description="Default endpoint for the dataset.")
description = fields.String(description="Dataset description.")
edit_url = fields.String(description="The URL for editing the dataset.")
extra = fields.Dict(
description="JSON string containing extra configuration elements."
)
fetch_values_predicate = fields.String(
description="Predicate used when fetching values from the dataset."
)
filter_select = fields.Bool(description="SELECT filter applied to the dataset.")
filter_select_enabled = fields.Bool(description="If the SELECT filter is enabled.")
granularity_sqla = fields.List(
fields.List(fields.Dict()),
description=(
"Name of temporal column used for time filtering for SQL datasources. "
"This field is deprecated, use `granularity` instead."
),
)
health_check_message = fields.String(description="Health check message.")
id = fields.Integer(description="Dataset ID.")
is_sqllab_view = fields.Bool(description="If the dataset is a SQL Lab view.")
main_dttm_col = fields.String(description="The main temporal column.")
metrics = fields.List(fields.Dict(), description="Dataset metrics.")
name = fields.String(description="Dataset name.")
offset = fields.Integer(description="Dataset offset.")
order_by_choices = fields.List(
fields.List(fields.String()), description="List of order by columns."
)
owners = fields.List(fields.Integer(), description="List of owners identifiers")
params = fields.Dict(description="Extra params for the dataset.")
perm = fields.String(description="Permission expression.")
schema = fields.String(description="Dataset schema.")
select_star = fields.String(description="Select all clause.")
sql = fields.String(description="A SQL statement that defines the dataset.")
table_name = fields.String(
description="The name of the table associated with the dataset."
)
template_params = fields.Dict(description="Table template params.")
time_grain_sqla = fields.List(
fields.List(fields.String()),
description="List of temporal granularities supported by the dataset.",
)
type = fields.String(description="Dataset type.")
uid = fields.String(description="Dataset unique identifier.")
verbose_map = fields.Dict(description="Mapping from raw name to verbose name.")
class SliceSchema(Schema):
cache_timeout = fields.Integer(
description="Duration (in seconds) of the caching timeout for this chart."
)
certification_details = fields.String(description="Details of the certification.")
certified_by = fields.String(
description="Person or group that has certified this dashboard."
)
changed_on = fields.String(description="Timestamp of the last modification.")
changed_on_humanized = fields.String(
description="Timestamp of the last modification in human readable form."
)
datasource = fields.String(description="Datasource identifier.")
description = fields.String(description="Slice description.")
description_markeddown = fields.String(
description="Sanitized HTML version of the chart description."
)
edit_url = fields.String(description="The URL for editing the slice.")
form_data = fields.Dict(description="Form data associated with the slice.")
is_managed_externally = fields.Bool(
description="If the chart is managed outside externally."
)
modified = fields.String(description="Last modification in human readable form.")
owners = fields.List(fields.Integer(), description="Owners identifiers.")
query_context = fields.Dict(description="The context associated with the query.")
slice_id = fields.Integer(description="The slice ID.")
slice_name = fields.String(description="The slice name.")
slice_url = fields.String(description="The slice URL.")
class ExploreContextSchema(Schema):
form_data = fields.Dict(
description=(
"Form data from the Explore controls used to form the "
"chart's data query."
)
)
dataset = fields.Nested(DatasetSchema)
slice = fields.Nested(SliceSchema)
message = fields.String(description="Any message related to the processed request.")
相关信息
相关文章
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦