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8#
9# http://www.apache.org/licenses/LICENSE-2.0
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14# KIND, either express or implied. See the License for the
15# specific language governing permissions and limitations
16# under the License.
17from datetime import datetime
18from typing import List, Optional
19
20from airflow.utils.pydantic import BaseModel as BaseModelPydantic, ConfigDict
21
22
23class DagScheduleDatasetReferencePydantic(BaseModelPydantic):
24 """Serializable version of the DagScheduleDatasetReference ORM SqlAlchemyModel used by internal API."""
25
26 dataset_id: int
27 dag_id: str
28 created_at: datetime
29 updated_at: datetime
30
31 model_config = ConfigDict(from_attributes=True)
32
33
34class TaskOutletDatasetReferencePydantic(BaseModelPydantic):
35 """Serializable version of the TaskOutletDatasetReference ORM SqlAlchemyModel used by internal API."""
36
37 dataset_id: int
38 dag_id: str
39 task_id: str
40 created_at: datetime
41 updated_at: datetime
42
43 model_config = ConfigDict(from_attributes=True)
44
45
46class DatasetPydantic(BaseModelPydantic):
47 """Serializable representation of the Dataset ORM SqlAlchemyModel used by internal API."""
48
49 id: int
50 uri: str
51 extra: Optional[dict]
52 created_at: datetime
53 updated_at: datetime
54 is_orphaned: bool
55
56 consuming_dags: List[DagScheduleDatasetReferencePydantic]
57 producing_tasks: List[TaskOutletDatasetReferencePydantic]
58
59 model_config = ConfigDict(from_attributes=True)
60
61
62class DatasetEventPydantic(BaseModelPydantic):
63 """Serializable representation of the DatasetEvent ORM SqlAlchemyModel used by internal API."""
64
65 id: int
66 dataset_id: Optional[int]
67 extra: dict
68 source_task_id: Optional[str]
69 source_dag_id: Optional[str]
70 source_run_id: Optional[str]
71 source_map_index: Optional[int]
72 timestamp: datetime
73 dataset: Optional[DatasetPydantic]
74
75 model_config = ConfigDict(from_attributes=True, arbitrary_types_allowed=True)