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Source code for galaxy.schema.tasks
from typing import Optional
from pydantic import (
BaseModel,
Field,
)
from .schema import (
DatasetSourceType,
HistoryContentType,
ModelStoreFormat,
StoreExportPayload,
WriteStoreToPayload,
)
from ..schema import PdfDocumentType
[docs]class SetupHistoryExportJob(BaseModel):
history_id: int
job_id: int
store_directory: str
include_files: bool
include_hidden: bool
include_deleted: bool
[docs]class PrepareDatasetCollectionDownload(BaseModel):
short_term_storage_request_id: str
history_dataset_collection_association_id: int
[docs]class GeneratePdfDownload(BaseModel):
short_term_storage_request_id: str
# basic markdown - Galaxy directives need to be processed before handing off to this task
basic_markdown: str
document_type: PdfDocumentType
# serialize user info for tasks
# TODO: allow make the above optional and allow a session_id for anonymous users...
# session_id: Optional[str]
[docs]class GenerateHistoryDownload(StoreExportPayload):
history_id: int
short_term_storage_request_id: str
user: RequestUser
[docs]class GenerateHistoryContentDownload(StoreExportPayload):
content_type: HistoryContentType
content_id: int
short_term_storage_request_id: str
user: RequestUser
[docs]class GenerateInvocationDownload(StoreExportPayload):
invocation_id: int
short_term_storage_request_id: str
user: RequestUser
[docs]class WriteHistoryContentTo(WriteStoreToPayload):
content_type: HistoryContentType
content_id: int
user: RequestUser
[docs]class ImportModelStoreTaskRequest(BaseModel):
user: RequestUser
history_id: Optional[int]
source_uri: str
for_library: bool
model_store_format: Optional[ModelStoreFormat]
[docs]class MaterializeDatasetInstanceTaskRequest(BaseModel):
history_id: int
user: RequestUser
source: DatasetSourceType = Field(
None,
title="Source",
description="The source of the content. Can be other history element to be copied or library elements.",
)
content: int = Field(
None,
title="Content",
description=(
"Depending on the `source` it can be:\n"
"- The encoded id of the source library dataset\n"
"- The encoded id of the the HDA\n"
),
)