# Copyright 2025 qBraid
#
# Licensed 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
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"""
Module defining AzureQuantumJob class
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional, Union
from azure.quantum.target.microsoft import MicrosoftEstimatorResult
from azure.quantum.workspace import Workspace
from qbraid._logging import logger
from qbraid.runtime.azure.result_builder import AzureResultBuilder
from qbraid.runtime.enums import JobStatus
from qbraid.runtime.exceptions import JobStateError
from qbraid.runtime.job import QuantumJob
from qbraid.runtime.result import Result
from qbraid.runtime.result_data import AhsResultData, GateModelResultData
from .io_format import OutputDataFormat
if TYPE_CHECKING:
import azure.quantum
[docs]
class AzureQuantumJob(QuantumJob):
"""Azure job class."""
[docs]
def __init__(self, job_id: str, workspace: Optional[Workspace] = None, **kwargs):
super().__init__(job_id=job_id, **kwargs)
self._workspace = workspace or Workspace()
self._job = self.workspace.get_job(self.id)
@property
def workspace(self) -> azure.quantum.Workspace:
"""Return the Azure Quantum Workspace."""
return self._workspace
def details(self) -> dict[str, Any]:
"""Return the details of the Azure job and
update the metadata cache."""
self._job.refresh()
details = self._job.details.as_dict()
self._cache_metadata["details"] = details
return details
def status(self) -> JobStatus:
"""Return the current status of the Azure job.
Returns:
JobStatus: The current status of the job.
"""
details: dict = self.details()
status: str = details.get("status")
status_map = {
"Succeeded": JobStatus.COMPLETED,
"Waiting": JobStatus.QUEUED,
"Executing": JobStatus.RUNNING,
"Failed": JobStatus.FAILED,
"Cancelled": JobStatus.CANCELLED,
"Finishing": JobStatus.RUNNING,
}
return status_map.get(status, JobStatus.UNKNOWN)
@staticmethod
def _make_estimator_result(data: dict[str, Any]) -> MicrosoftEstimatorResult:
"""Create a MicrosoftEstimatorResult from the given data.
Args:
data (dict): The data to create the result from.
Returns:
MicrosoftEstimatorResult: The result created from the data.
Raises:
RuntimeError: If the job execution failed.
"""
if not data["success"]:
error_data = data["error_data"]
raise RuntimeError(
f"Cannot retrieve results as job execution failed "
f"({error_data['code']}: {error_data['message']})"
)
result_data = data["data"]
return MicrosoftEstimatorResult(result_data)
def result(self) -> Union[Result, MicrosoftEstimatorResult]:
"""Return the result of the Azure job.
Returns:
Union[Result, MicrosoftEstimatorResult]: The result of the job.
"""
if not self.is_terminal_state():
logger.info("Result will be available when job has reached final state.")
job: azure.quantum.Job = self._job
job.wait_until_completed()
success = job.details.status == "Succeeded"
details = job.details.as_dict()
if job.details.output_data_format == OutputDataFormat.RESOURCE_ESTIMATOR.value:
return self._make_estimator_result(
{
"job_id": job.id,
"target": job.details.target,
"job_name": job.details.name,
"success": success,
"data": job.get_results(),
"error_data": (
None if job.details.error_data is None else job.details.error_data.as_dict()
),
}
)
builder = AzureResultBuilder(job)
if job.details.output_data_format == OutputDataFormat.PASQAL.value:
data = AhsResultData(measurement_counts=builder.get_counts())
else:
data = GateModelResultData(measurement_counts=builder.get_counts())
return Result(
device_id=job.details.target, job_id=job.id, success=success, data=data, **details
)
def cancel(self) -> None:
"""Cancel the Azure job."""
if self.is_terminal_state():
raise JobStateError("Cannot cancel; job in terminal state.")
self._job = self.workspace.cancel_job(self._job)