cr-connect-workflow/crc/api/stats.py

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from datetime import datetime
from flask import g
from crc import session
from crc.models.stats import WorkflowStatsModel, WorkflowStatsModelSchema, TaskEventModel, TaskEventModelSchema
def get_workflow_stats(workflow_id):
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workflow_model = session.query(WorkflowStatsModel).filter_by(workflow_id=workflow_id).first()
return WorkflowStatsModelSchema().dump(workflow_model)
def update_workflow_stats(workflow_model, workflow_api_model):
stats = session.query(WorkflowStatsModel) \
.filter_by(study_id=workflow_model.study_id) \
.filter_by(workflow_id=workflow_model.id) \
.filter_by(workflow_spec_id=workflow_model.workflow_spec_id) \
.filter_by(spec_version=workflow_model.spec_version) \
.first()
if stats is None:
stats = WorkflowStatsModel(
study_id=workflow_model.study_id,
workflow_id=workflow_model.id,
workflow_spec_id=workflow_model.workflow_spec_id,
spec_version=workflow_model.spec_version,
)
complete_states = ['CANCELLED', 'COMPLETED']
incomplete_states = ['MAYBE', 'LIKELY', 'FUTURE', 'WAITING', 'READY']
tasks = list(workflow_api_model.user_tasks)
stats.num_tasks_total = len(tasks)
stats.num_tasks_complete = sum(1 for t in tasks if t.state in complete_states)
stats.num_tasks_incomplete = sum(1 for t in tasks if t.state in incomplete_states)
stats.last_updated = datetime.now()
session.add(stats)
session.commit()
return WorkflowStatsModelSchema().dump(stats)
def log_task_complete(workflow_model, task_id):
task_event = TaskEventModel(
study_id=workflow_model.study_id,
user_uid=g.user.uid,
workflow_id=workflow_model.id,
workflow_spec_id=workflow_model.workflow_spec_id,
spec_version=workflow_model.spec_version,
task_id=task_id,
task_state='COMPLETE',
date=datetime.now(),
)
session.add(task_event)
session.commit()
return TaskEventModelSchema().dump(task_event)