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task_processing.py
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"""Nextcloud API for declaring TaskProcessing provider."""
import contextlib
import dataclasses
import typing
from enum import IntEnum
from pydantic import RootModel
from pydantic.dataclasses import dataclass
from ..._exceptions import NextcloudException, NextcloudExceptionNotFound
from ..._misc import require_capabilities
from ..._session import AsyncNcSessionApp, NcSessionApp
_EP_SUFFIX: str = "ai_provider/task_processing"
class ShapeType(IntEnum):
"""Enum for shape types."""
NUMBER = 0
TEXT = 1
IMAGE = 2
AUDIO = 3
VIDEO = 4
FILE = 5
ENUM = 6
LIST_OF_NUMBERS = 10
LIST_OF_TEXTS = 11
LIST_OF_IMAGES = 12
LIST_OF_AUDIOS = 13
LIST_OF_VIDEOS = 14
LIST_OF_FILES = 15
@dataclass
class ShapeEnumValue:
"""Data object for input output shape enum slot value."""
name: str
"""Name of the enum slot value which will be displayed in the UI"""
value: str
"""Value of the enum slot value"""
@dataclass
class ShapeDescriptor:
"""Data object for input output shape entries."""
name: str
"""Name of the shape entry"""
description: str
"""Description of the shape entry"""
shape_type: ShapeType
"""Type of the shape entry"""
@dataclass
class TaskType:
"""TaskType description for the provider."""
id: str
"""The unique ID for the task type."""
name: str
"""The localized name of the task type."""
description: str
"""The localized description of the task type."""
input_shape: list[ShapeDescriptor]
"""The input shape of the task."""
output_shape: list[ShapeDescriptor]
"""The output shape of the task."""
@dataclass
class TaskProcessingProvider:
id: str
"""Unique ID for the provider."""
name: str
"""The localized name of this provider"""
task_type: str
"""The TaskType provided by this provider."""
expected_runtime: int = dataclasses.field(default=0)
"""Expected runtime of the task in seconds."""
optional_input_shape: list[ShapeDescriptor] = dataclasses.field(default_factory=list)
"""Optional input shape of the task."""
optional_output_shape: list[ShapeDescriptor] = dataclasses.field(default_factory=list)
"""Optional output shape of the task."""
input_shape_enum_values: dict[str, list[ShapeEnumValue]] = dataclasses.field(default_factory=dict)
"""The option dict for each input shape ENUM slot."""
input_shape_defaults: dict[str, str | int | float] = dataclasses.field(default_factory=dict)
"""The default values for input shape slots."""
optional_input_shape_enum_values: dict[str, list[ShapeEnumValue]] = dataclasses.field(default_factory=dict)
"""The option list for each optional input shape ENUM slot."""
optional_input_shape_defaults: dict[str, str | int | float] = dataclasses.field(default_factory=dict)
"""The default values for optional input shape slots."""
output_shape_enum_values: dict[str, list[ShapeEnumValue]] = dataclasses.field(default_factory=dict)
"""The option list for each output shape ENUM slot."""
optional_output_shape_enum_values: dict[str, list[ShapeEnumValue]] = dataclasses.field(default_factory=dict)
"""The option list for each optional output shape ENUM slot."""
def __repr__(self):
return f"<{self.__class__.__name__} name={self.name}, type={self.task_type}>"
class _TaskProcessingProviderAPI:
"""API for TaskProcessing providers, available as **nc.providers.task_processing.<method>**."""
def __init__(self, session: NcSessionApp):
self._session = session
def register(
self,
provider: TaskProcessingProvider,
custom_task_type: TaskType | None = None,
) -> None:
"""Registers or edit the TaskProcessing provider."""
require_capabilities("app_api", self._session.capabilities)
params = {
"provider": RootModel(provider).model_dump(),
**({"customTaskType": RootModel(custom_task_type).model_dump()} if custom_task_type else {}),
}
self._session.ocs("POST", f"{self._session.ae_url}/{_EP_SUFFIX}", json=params)
def unregister(self, name: str, not_fail=True) -> None:
"""Removes TaskProcessing provider."""
require_capabilities("app_api", self._session.capabilities)
try:
self._session.ocs("DELETE", f"{self._session.ae_url}/{_EP_SUFFIX}", params={"name": name})
except NextcloudExceptionNotFound as e:
if not not_fail:
raise e from None
def next_task(self, provider_ids: list[str], task_types: list[str]) -> dict[str, typing.Any]:
"""Get the next task processing task from Nextcloud."""
with contextlib.suppress(NextcloudException):
if r := self._session.ocs(
"GET",
"/ocs/v2.php/taskprocessing/tasks_provider/next",
json={"providerIds": provider_ids, "taskTypeIds": task_types},
):
return r
return {}
def set_progress(self, task_id: int, progress: float) -> dict[str, typing.Any]:
"""Report new progress value of the task to Nextcloud. Progress should be in range from 0.0 to 100.0."""
with contextlib.suppress(NextcloudException):
if r := self._session.ocs(
"POST",
f"/ocs/v2.php/taskprocessing/tasks_provider/{task_id}/progress",
json={"taskId": task_id, "progress": progress / 100.0},
):
return r
return {}
def upload_result_file(self, task_id: int, file: bytes | str | typing.Any) -> int:
"""Uploads file and returns fileID that should be used in the ``report_result`` function.
.. note:: ``file`` can be any file-like object.
"""
return self._session.ocs(
"POST",
f"/ocs/v2.php/taskprocessing/tasks_provider/{task_id}/file",
files={"file": file},
)["fileId"]
def report_result(
self,
task_id: int,
output: dict[str, typing.Any] | None = None,
error_message: str | None = None,
) -> dict[str, typing.Any]:
"""Report result of the task processing to Nextcloud."""
with contextlib.suppress(NextcloudException):
if r := self._session.ocs(
"POST",
f"/ocs/v2.php/taskprocessing/tasks_provider/{task_id}/result",
json={"taskId": task_id, "output": output, "errorMessage": error_message},
):
return r
return {}
class _AsyncTaskProcessingProviderAPI:
"""Async API for TaskProcessing providers."""
def __init__(self, session: AsyncNcSessionApp):
self._session = session
async def register(
self,
provider: TaskProcessingProvider,
custom_task_type: TaskType | None = None,
) -> None:
"""Registers or edit the TaskProcessing provider."""
require_capabilities("app_api", await self._session.capabilities)
params = {
"provider": RootModel(provider).model_dump(),
**({"customTaskType": RootModel(custom_task_type).model_dump()} if custom_task_type else {}),
}
await self._session.ocs("POST", f"{self._session.ae_url}/{_EP_SUFFIX}", json=params)
async def unregister(self, name: str, not_fail=True) -> None:
"""Removes TaskProcessing provider."""
require_capabilities("app_api", await self._session.capabilities)
try:
await self._session.ocs("DELETE", f"{self._session.ae_url}/{_EP_SUFFIX}", params={"name": name})
except NextcloudExceptionNotFound as e:
if not not_fail:
raise e from None
async def next_task(self, provider_ids: list[str], task_types: list[str]) -> dict[str, typing.Any]:
"""Get the next task processing task from Nextcloud."""
with contextlib.suppress(NextcloudException):
if r := await self._session.ocs(
"GET",
"/ocs/v2.php/taskprocessing/tasks_provider/next",
json={"providerIds": provider_ids, "taskTypeIds": task_types},
):
return r
return {}
async def set_progress(self, task_id: int, progress: float) -> dict[str, typing.Any]:
"""Report new progress value of the task to Nextcloud. Progress should be in range from 0.0 to 100.0."""
with contextlib.suppress(NextcloudException):
if r := await self._session.ocs(
"POST",
f"/ocs/v2.php/taskprocessing/tasks_provider/{task_id}/progress",
json={"taskId": task_id, "progress": progress / 100.0},
):
return r
return {}
async def upload_result_file(self, task_id: int, file: bytes | str | typing.Any) -> int:
"""Uploads file and returns fileID that should be used in the ``report_result`` function.
.. note:: ``file`` can be any file-like object.
"""
return (
await self._session.ocs(
"POST",
f"/ocs/v2.php/taskprocessing/tasks_provider/{task_id}/file",
files={"file": file},
)
)["fileId"]
async def report_result(
self,
task_id: int,
output: dict[str, typing.Any] | None = None,
error_message: str | None = None,
) -> dict[str, typing.Any]:
"""Report result of the task processing to Nextcloud."""
with contextlib.suppress(NextcloudException):
if r := await self._session.ocs(
"POST",
f"/ocs/v2.php/taskprocessing/tasks_provider/{task_id}/result",
json={"taskId": task_id, "output": output, "errorMessage": error_message},
):
return r
return {}