76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
from connexion import NoContent
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from crc import session
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from crc.api.common import ApiError, ApiErrorSchema
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from crc.api.workflow import __get_workflow_api_model
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from crc.models.study import StudyModelSchema, StudyModel
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from crc.models.workflow import WorkflowModel, WorkflowApiSchema, WorkflowSpecModel
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from crc.services.workflow_processor import WorkflowProcessor
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def all_studies():
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# todo: Limit returned studies to a user
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schema = StudyModelSchema(many=True)
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return schema.dump(session.query(StudyModel).all())
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def add_study(body):
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study = StudyModelSchema().load(body, session=session)
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session.add(study)
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session.commit()
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# FIXME: We need to ask the protocol builder what workflows to add to the study, not just add them all.
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for spec in session.query(WorkflowSpecModel).all():
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WorkflowProcessor.create(study.id, spec.id)
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return StudyModelSchema().dump(study)
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def update_study(study_id, body):
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if study_id is None:
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error = ApiError('unknown_study', 'Please provide a valid Study ID.')
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return ApiErrorSchema.dump(error), 404
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study = session.query(StudyModel).filter_by(id=study_id).first()
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if study is None:
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error = ApiError('unknown_study', 'The study "' + study_id + '" is not recognized.')
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return ApiErrorSchema.dump(error), 404
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study = StudyModelSchema().load(body, session=session)
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session.add(study)
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session.commit()
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return StudyModelSchema().dump(study)
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def get_study(study_id):
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study = session.query(StudyModel).filter_by(id=study_id).first()
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schema = StudyModelSchema()
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if study is None:
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return NoContent, 404
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return schema.dump(study)
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def post_update_study_from_protocol_builder(study_id):
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# todo: Actually get data from an external service here
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return NoContent, 304
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def get_study_workflows(study_id):
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workflow_models = session.query(WorkflowModel).filter_by(study_id=study_id).all()
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api_models = []
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for workflow_model in workflow_models:
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processor = WorkflowProcessor(workflow_model.workflow_spec_id,
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workflow_model.bpmn_workflow_json)
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api_models.append( __get_workflow_api_model(processor))
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schema = WorkflowApiSchema(many=True)
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return schema.dump(api_models)
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def add_workflow_to_study(study_id, body):
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workflow_spec_model = session.query(WorkflowSpecModel).filter_by(id=body["id"]).first()
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if workflow_spec_model is None:
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error = ApiError('unknown_spec', 'The specification "' + body['id'] + '" is not recognized.')
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return ApiErrorSchema.dump(error), 404
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processor = WorkflowProcessor.create(study_id, workflow_spec_model.id)
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return WorkflowApiSchema().dump(__get_workflow_api_model(processor))
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