How to view previous jobs and retrieve results
Viewing metadata and retrieving results from jobs previously submitted to Fire Opal
Fire Opal allows you to view a list of previous jobs with metadata and to retrieve results from previously submitted jobs.
Note: To achieve the highest degree of accuracy, be sure to always retrieve results directly from Fire Opal. Results obtained from hardware providers' platforms and SDKs will not include Fire Opal's post-processing will therefore be of lower quality.
In this guide, you will learn how to:
- View and filter a list of previous jobs.
- Use a job's unique ID to retrieve the results.
- Get a list of job metadata.
1. View list of previous jobs and metadata
To view pre-formatted metadata, use the activity_monitor function. As shown below, this function's default behavior is to display metadata from the most recent job.
from fireopal import activity_monitoractivity_monitor()Getting jobs for all statuses. To filter jobs by status, use the status keyword argument. Valid status values are: SUCCESS, FAILURE, REVOKED, PENDING, RECEIVED, RETRY, STARTED.
| Function | Status | Created at (UTC) | Updated at (UTC) | Action ID |
| -------- | ------- | ------------------- | ------------------- | --------- |
| execute | STARTED | 2023-10-10 18:12:24 | 2023-10-10 18:12:25 | 1824870 |
To view metadata for more than one job, use the limit parameter. For example, the code below displays the five most recent jobs.
activity_monitor(limit=5)Getting jobs for all statuses. To filter jobs by status, use the status keyword argument. Valid status values are: SUCCESS, FAILURE, REVOKED, PENDING, RECEIVED, RETRY, STARTED.
| Function | Status | Created at (UTC) | Updated at (UTC) | Action ID |
| -------- | ------- | ------------------- | ------------------- | --------- |
| execute | STARTED | 2023-10-10 18:12:24 | 2023-10-10 18:12:25 | 1824870 |
| validate | SUCCESS | 2023-10-10 18:12:10 | 2023-10-10 18:12:17 | 1824869 |
| execute | STARTED | 2023-10-10 17:52:27 | 2023-10-10 17:52:27 | 1824868 |
| execute | FAILURE | 2023-10-10 17:51:12 | 2023-10-10 17:51:17 | 1824867 |
| validate | SUCCESS | 2023-10-10 17:50:16 | 2023-10-10 17:50:25 | 1824866 |
To only view older jobs, the offset parameter can be used to skip more recent jobs. For example, the code below skips the five most recent jobs and views the sixth most recent.
activity_monitor(limit=1, offset=5)Getting jobs for all statuses. To filter jobs by status, use the status keyword argument. Valid status values are: SUCCESS, FAILURE, REVOKED, PENDING, RECEIVED, RETRY, STARTED.
| Function | Status | Created at (UTC) | Updated at (UTC) | Action ID |
| -------- | ------- | ------------------- | ------------------- | --------- |
| validate | SUCCESS | 2023-10-10 16:45:53 | 2023-10-10 16:45:59 | 1824865 |
As the outputs above indicate, we can also filter by status.
activity_monitor(limit=4, status="SUCCESS")| Function | Status | Created at (UTC) | Updated at (UTC) | Action ID |
| -------- | ------- | ------------------- | ------------------- | --------- |
| validate | SUCCESS | 2023-10-10 18:12:10 | 2023-10-10 18:12:17 | 1824869 |
| validate | SUCCESS | 2023-10-10 17:50:16 | 2023-10-10 17:50:25 | 1824866 |
| validate | SUCCESS | 2023-10-10 16:45:53 | 2023-10-10 16:45:59 | 1824865 |
| validate | SUCCESS | 2023-10-10 16:34:13 | 2023-10-10 16:34:18 | 1824864 |
2. Use a job's ID to retrieve results
The results of a successfully completed job can be retrieved by passing its ID to the get_result function.
Note: Only jobs that have completed successfully can be queried for results. Be sure to leave your jobs running for them to finish executing. Even in the case of kernel disconnection, the job will still complete, and results can later be retrieved.
from fireopal import get_resultimport warnings
job_id = "YOUR_JOB_ID"
# The get_result function will display any runtime warnings
# captured during the function call that generated the job.
# We suppress them here for brevity.
with warnings.catch_warnings():
warnings.simplefilter("ignore")
result = get_result(job_id)
print(result){'results': [{'000000': 0.013513385402017056, '000001': 0.0012759565358072978, '000011': 0.0036011607913108822, '000111': 0.006893546308909863, '011111': 0.0024122040902233247, '100111': 0.0028186530910052215, '110111': 0.003930582858170521, '111110': 0.031615686168495, '111111': 0.9339388247540609}]}
3. Get a list of job metadata
Finally, note that it's possible to instead retrieve information (metadata) about the job, such as the job status or time of creation. To do so, use the get_action_metadata function, which supports the same parameters as the activity_monitor and returns a list, as shown in the following example.
from fireopal import get_action_metadatametadata = get_action_metadata(limit=4, offset=37, status="SUCCESS")
# Each list element is an ActionMetadata instance, which is just a dataclass.
print(metadata[0])
print("\n")
# Like any dataclass, we can access the attribute values through dot notation.
print(
f"Function name: {metadata[0].name}\n"
f"Job status: {metadata[0].status}\n"
f"Job created at: {metadata[0].created_at}\n"
f"Job updated at: {metadata[0].updated_at}\n"
f"Action ID: {metadata[0].model_id}"
)ActionMetadata(name='execute', status='SUCCESS', created_at='2023-07-21 16:11:11', updated_at='2023-07-22 01:05:39', model_id='1759672')
Function name: execute
Job status: SUCCESS
Job created at: 2023-07-21 16:11:11
Job updated at: 2023-07-22 01:05:39
Action ID: 1759672
Now that you know how to view previous jobs and retrieve results, try creating and running circuits and you'll be able to retrieve the results at your convenience.
from fireopal import print_package_versions
print_package_versions()| Package | Version |
| --------------------- | ------- |
| Python | 3.10.11 |
| networkx | 2.8.8 |
| numpy | 1.26.0 |
| sympy | 1.12 |
| fire-opal | 6.3.0 |
| qctrl-workflow-client | 1.2.0 |
