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

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import uuid
from SpiffWorkflow.util.deep_merge import DeepMerge
from flask import g
from crc import session, app
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from crc.api.common import ApiError, ApiErrorSchema
from crc.models.api_models import WorkflowApi, WorkflowApiSchema, NavigationItem, NavigationItemSchema
from crc.models.file import FileModel, LookupDataSchema
from crc.models.stats import TaskEventModel
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from crc.models.workflow import WorkflowModel, WorkflowSpecModelSchema, WorkflowSpecModel, WorkflowSpecCategoryModel, \
WorkflowSpecCategoryModelSchema
from crc.services.file_service import FileService
from crc.services.lookup_service import LookupService
from crc.services.study_service import StudyService
from crc.services.workflow_processor import WorkflowProcessor
from crc.services.workflow_service import WorkflowService
def all_specifications():
schema = WorkflowSpecModelSchema(many=True)
return schema.dump(session.query(WorkflowSpecModel).all())
def add_workflow_specification(body):
new_spec: WorkflowSpecModel = WorkflowSpecModelSchema().load(body, session=session)
session.add(new_spec)
session.commit()
return WorkflowSpecModelSchema().dump(new_spec)
def get_workflow_specification(spec_id):
if spec_id is None:
raise ApiError('unknown_spec', 'Please provide a valid Workflow Specification ID.')
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spec: WorkflowSpecModel = session.query(WorkflowSpecModel).filter_by(id=spec_id).first()
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if spec is None:
raise ApiError('unknown_spec', 'The Workflow Specification "' + spec_id + '" is not recognized.')
return WorkflowSpecModelSchema().dump(spec)
def validate_workflow_specification(spec_id):
errors = []
try:
WorkflowService.test_spec(spec_id)
except ApiError as ae:
ae.message = "When populating all fields ... " + ae.message
errors.append(ae)
try:
# Run the validation twice, the second time, just populate the required fields.
WorkflowService.test_spec(spec_id, required_only=True)
except ApiError as ae:
ae.message = "When populating only required fields ... " + ae.message
errors.append(ae)
return ApiErrorSchema(many=True).dump(errors)
def update_workflow_specification(spec_id, body):
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if spec_id is None:
raise ApiError('unknown_spec', 'Please provide a valid Workflow Spec ID.')
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spec = session.query(WorkflowSpecModel).filter_by(id=spec_id).first()
if spec is None:
raise ApiError('unknown_study', 'The spec "' + spec_id + '" is not recognized.')
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schema = WorkflowSpecModelSchema()
spec = schema.load(body, session=session, instance=spec, partial=True)
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session.add(spec)
session.commit()
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return schema.dump(spec)
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def delete_workflow_specification(spec_id):
if spec_id is None:
raise ApiError('unknown_spec', 'Please provide a valid Workflow Specification ID.')
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spec: WorkflowSpecModel = session.query(WorkflowSpecModel).filter_by(id=spec_id).first()
if spec is None:
raise ApiError('unknown_spec', 'The Workflow Specification "' + spec_id + '" is not recognized.')
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# Delete all items in the database related to the deleted workflow spec.
files = session.query(FileModel).filter_by(workflow_spec_id=spec_id).all()
for file in files:
FileService.delete_file(file.id)
session.query(TaskEventModel).filter(TaskEventModel.workflow_spec_id == spec_id).delete()
# Delete all stats and workflow models related to this specification
for workflow in session.query(WorkflowModel).filter_by(workflow_spec_id=spec_id):
StudyService.delete_workflow(workflow)
session.query(WorkflowSpecModel).filter_by(id=spec_id).delete()
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session.commit()
def get_workflow(workflow_id, soft_reset=False, hard_reset=False):
workflow_model: WorkflowModel = session.query(WorkflowModel).filter_by(id=workflow_id).first()
processor = WorkflowProcessor(workflow_model, soft_reset=soft_reset, hard_reset=hard_reset)
workflow_api_model = WorkflowService.processor_to_workflow_api(processor)
return WorkflowApiSchema().dump(workflow_api_model)
def delete_workflow(workflow_id):
StudyService.delete_workflow(workflow_id)
def set_current_task(workflow_id, task_id):
workflow_model = session.query(WorkflowModel).filter_by(id=workflow_id).first()
user_uid = __get_user_uid(workflow_model.study.user_uid)
processor = WorkflowProcessor(workflow_model)
task_id = uuid.UUID(task_id)
spiff_task = processor.bpmn_workflow.get_task(task_id)
if spiff_task.state != spiff_task.COMPLETED and spiff_task.state != spiff_task.READY:
raise ApiError("invalid_state", "You may not move the token to a task who's state is not "
"currently set to COMPLETE or READY.")
# Only reset the token if the task doesn't already have it.
if spiff_task.state == spiff_task.COMPLETED:
spiff_task.reset_token(reset_data=True) # Don't try to copy the existing data back into this task.
processor.save()
WorkflowService.log_task_action(user_uid, workflow_model, spiff_task,
WorkflowService.TASK_ACTION_TOKEN_RESET,
version=processor.get_version_string())
workflow_api_model = WorkflowService.processor_to_workflow_api(processor, spiff_task)
return WorkflowApiSchema().dump(workflow_api_model)
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def update_task(workflow_id, task_id, body, terminate_loop=None):
workflow_model = session.query(WorkflowModel).filter_by(id=workflow_id).first()
if workflow_model is None:
raise ApiError("invalid_workflow_id", "The given workflow id is not valid.", status_code=404)
elif workflow_model.study is None:
raise ApiError("invalid_study", "There is no study associated with the given workflow.", status_code=404)
user_uid = __get_user_uid(workflow_model.study.user_uid)
processor = WorkflowProcessor(workflow_model)
task_id = uuid.UUID(task_id)
spiff_task = processor.bpmn_workflow.get_task(task_id)
if not spiff_task:
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raise ApiError("empty_task", "Processor failed to obtain task.", status_code=404)
if spiff_task.state != spiff_task.READY:
raise ApiError("invalid_state", "You may not update a task unless it is in the READY state. "
"Consider calling a token reset to make this task Ready.")
if terminate_loop:
spiff_task.terminate_loop()
spiff_task.update_data(body)
processor.complete_task(spiff_task)
processor.do_engine_steps()
processor.save()
WorkflowService.log_task_action(user_uid, workflow_model, spiff_task, WorkflowService.TASK_ACTION_COMPLETE,
version=processor.get_version_string())
workflow_api_model = WorkflowService.processor_to_workflow_api(processor)
return WorkflowApiSchema().dump(workflow_api_model)
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def list_workflow_spec_categories():
schema = WorkflowSpecCategoryModelSchema(many=True)
return schema.dump(session.query(WorkflowSpecCategoryModel).all())
def get_workflow_spec_category(cat_id):
schema = WorkflowSpecCategoryModelSchema()
return schema.dump(session.query(WorkflowSpecCategoryModel).filter_by(id=cat_id).first())
def add_workflow_spec_category(body):
schema = WorkflowSpecCategoryModelSchema()
new_cat: WorkflowSpecCategoryModel = schema.load(body, session=session)
session.add(new_cat)
session.commit()
return schema.dump(new_cat)
def update_workflow_spec_category(cat_id, body):
if cat_id is None:
raise ApiError('unknown_category', 'Please provide a valid Workflow Spec Category ID.')
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category = session.query(WorkflowSpecCategoryModel).filter_by(id=cat_id).first()
if category is None:
raise ApiError('unknown_category', 'The category "' + cat_id + '" is not recognized.')
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schema = WorkflowSpecCategoryModelSchema()
category = schema.load(body, session=session, instance=category, partial=True)
session.add(category)
session.commit()
return schema.dump(category)
def delete_workflow_spec_category(cat_id):
session.query(WorkflowSpecCategoryModel).filter_by(id=cat_id).delete()
session.commit()
def lookup(workflow_id, field_id, query=None, limit=10, id=None):
"""
given a field in a task, attempts to find the lookup table or function associated
with that field and runs a full-text query against it to locate the values and
labels that would be returned to a type-ahead box.
Tries to be fast, but first runs will be very slow.
"""
workflow = session.query(WorkflowModel).filter(WorkflowModel.id == workflow_id).first()
lookup_data = LookupService.lookup(workflow, field_id, query, limit, id)
return LookupDataSchema(many=True).dump(lookup_data)
def __get_user_uid(user_uid):
if 'user' in g:
if g.user.uid not in app.config['ADMIN_UIDS'] and user_uid != g.user.uid:
raise ApiError("permission_denied", "You are not authorized to edit the task data for this workflow.",
status_code=403)
else:
return g.user.uid
else:
raise ApiError("logged_out", "You are no longer logged in.", status_code=401)