| Name |
Type |
Description |
Notes |
| job_id |
str |
Identifier returned by the compose runner service. |
[optional] |
| meta_analysis_id |
str |
Identifier of the meta-analysis that was submitted. |
[optional] |
| artifact_prefix |
str |
Artifact key prefix for logs and outputs. |
[optional] |
| status |
str |
Latest known status reported by the compose runner. |
[optional] |
| status_url |
str |
Convenience URL for polling job status. |
[optional] |
| environment |
str |
Deployment environment the job was submitted to. |
[optional] |
| no_upload |
bool |
Indicates whether the upload step was skipped. |
[optional] |
| start_time |
datetime |
Start time reported by the compose runner status endpoint. |
[optional] |
| output |
Dict[str, object] |
Raw output payload returned by the compose runner. |
[optional] |
| logs |
List[MetaAnalysisJobLog] |
Aggregated log events returned by the compose runner. |
[optional] |
| created_at |
datetime |
Timestamp when the job entry was cached. |
[optional] |
| updated_at |
datetime |
Timestamp when the job entry was last refreshed. |
[optional] |
from neurosynth_compose_sdk.models.meta_analysis_job_response import MetaAnalysisJobResponse
# TODO update the JSON string below
json = "{}"
# create an instance of MetaAnalysisJobResponse from a JSON string
meta_analysis_job_response_instance = MetaAnalysisJobResponse.from_json(json)
# print the JSON string representation of the object
print(MetaAnalysisJobResponse.to_json())
# convert the object into a dict
meta_analysis_job_response_dict = meta_analysis_job_response_instance.to_dict()
# create an instance of MetaAnalysisJobResponse from a dict
meta_analysis_job_response_from_dict = MetaAnalysisJobResponse.from_dict(meta_analysis_job_response_dict)
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