airflow dataset_schema 源码
airflow dataset_schema 代码
文件路径:/airflow/api_connexion/schemas/dataset_schema.py
# Licensed to the Apache Software Foundation (ASF) under one
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# 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 __future__ import annotations
from typing import NamedTuple
from marshmallow import Schema, fields
from marshmallow_sqlalchemy import SQLAlchemySchema, auto_field
from airflow.api_connexion.schemas.common_schema import JsonObjectField
from airflow.models.dagrun import DagRun
from airflow.models.dataset import (
DagScheduleDatasetReference,
DatasetEvent,
DatasetModel,
TaskOutletDatasetReference,
)
class TaskOutletDatasetReferenceSchema(SQLAlchemySchema):
"""TaskOutletDatasetReference DB schema"""
class Meta:
"""Meta"""
model = TaskOutletDatasetReference
dag_id = auto_field()
task_id = auto_field()
created_at = auto_field()
updated_at = auto_field()
class DagScheduleDatasetReferenceSchema(SQLAlchemySchema):
"""DagScheduleDatasetReference DB schema"""
class Meta:
"""Meta"""
model = DagScheduleDatasetReference
dag_id = auto_field()
created_at = auto_field()
updated_at = auto_field()
class DatasetSchema(SQLAlchemySchema):
"""Dataset DB schema"""
class Meta:
"""Meta"""
model = DatasetModel
id = auto_field()
uri = auto_field()
extra = JsonObjectField()
created_at = auto_field()
updated_at = auto_field()
producing_tasks = fields.List(fields.Nested(TaskOutletDatasetReferenceSchema))
consuming_dags = fields.List(fields.Nested(DagScheduleDatasetReferenceSchema))
class DatasetCollection(NamedTuple):
"""List of Datasets with meta"""
datasets: list[DatasetModel]
total_entries: int
class DatasetCollectionSchema(Schema):
"""Dataset Collection Schema"""
datasets = fields.List(fields.Nested(DatasetSchema))
total_entries = fields.Int()
dataset_schema = DatasetSchema()
dataset_collection_schema = DatasetCollectionSchema()
class BasicDAGRunSchema(SQLAlchemySchema):
"""Basic Schema for DAGRun"""
class Meta:
"""Meta"""
model = DagRun
dateformat = "iso"
run_id = auto_field(data_key='dag_run_id')
dag_id = auto_field(dump_only=True)
execution_date = auto_field(data_key="logical_date", dump_only=True)
start_date = auto_field(dump_only=True)
end_date = auto_field(dump_only=True)
state = auto_field(dump_only=True)
data_interval_start = auto_field(dump_only=True)
data_interval_end = auto_field(dump_only=True)
class DatasetEventSchema(SQLAlchemySchema):
"""Dataset Event DB schema"""
class Meta:
"""Meta"""
model = DatasetEvent
id = auto_field()
dataset_id = auto_field()
dataset_uri = fields.String(attribute='dataset.uri', dump_only=True)
extra = JsonObjectField()
source_task_id = auto_field()
source_dag_id = auto_field()
source_run_id = auto_field()
source_map_index = auto_field()
created_dagruns = fields.List(fields.Nested(BasicDAGRunSchema))
timestamp = auto_field()
class DatasetEventCollection(NamedTuple):
"""List of Dataset events with meta"""
dataset_events: list[DatasetEvent]
total_entries: int
class DatasetEventCollectionSchema(Schema):
"""Dataset Event Collection Schema"""
dataset_events = fields.List(fields.Nested(DatasetEventSchema))
total_entries = fields.Int()
dataset_event_schema = DatasetEventSchema()
dataset_event_collection_schema = DatasetEventCollectionSchema()
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