mirror of
https://github.com/sartography/cr-connect-workflow.git
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Add the lane information to the Task model. Drop the foreign key constraint on the user_uid in the task log, as we might create tasks for users before they ever log into the system. Add a new endpoint to the API called task events. It should be possible to query this and get a list of all tasks that need a users attention. The task events returned include detailed information about the workflow and study as sub-models Rename all the actions in event log to things that are easier to pass over the api as arguments, make this backwards compatible, updating existing names in the database via the migration. Throughly test the navigation and task details as control of the workflow is passed between two lanes.
346 lines
15 KiB
Python
346 lines
15 KiB
Python
from copy import copy
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from datetime import datetime
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import json
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from typing import List
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import requests
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from SpiffWorkflow import WorkflowException
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from SpiffWorkflow.exceptions import WorkflowTaskExecException
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from ldap3.core.exceptions import LDAPSocketOpenError
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from crc import db, session, app
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from crc.api.common import ApiError
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from crc.models.file import FileModel, FileModelSchema, File
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from crc.models.ldap import LdapSchema
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from crc.models.protocol_builder import ProtocolBuilderStudy, ProtocolBuilderStatus
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from crc.models.task_event import TaskEventModel
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from crc.models.study import StudyModel, Study, Category, WorkflowMetadata
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from crc.models.workflow import WorkflowSpecCategoryModel, WorkflowModel, WorkflowSpecModel, WorkflowState, \
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WorkflowStatus
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from crc.services.file_service import FileService
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from crc.services.ldap_service import LdapService
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from crc.services.protocol_builder import ProtocolBuilderService
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from crc.services.workflow_processor import WorkflowProcessor
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from crc.services.approval_service import ApprovalService
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from crc.models.approval import Approval
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class StudyService(object):
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"""Provides common tools for working with a Study"""
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@staticmethod
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def get_studies_for_user(user):
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"""Returns a list of all studies for the given user."""
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db_studies = session.query(StudyModel).filter_by(user_uid=user.uid).all()
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studies = []
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for study_model in db_studies:
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studies.append(StudyService.get_study(study_model.id, study_model))
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return studies
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@staticmethod
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def get_all_studies_with_files():
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"""Returns a list of all studies"""
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db_studies = session.query(StudyModel).all()
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studies = []
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for s in db_studies:
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study = Study.from_model(s)
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study.files = FileService.get_files_for_study(study.id)
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studies.append(study)
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return studies
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@staticmethod
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def get_study(study_id, study_model: StudyModel = None):
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"""Returns a study model that contains all the workflows organized by category.
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IMPORTANT: This is intended to be a lightweight call, it should never involve
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loading up and executing all the workflows in a study to calculate information."""
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if not study_model:
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study_model = session.query(StudyModel).filter_by(id=study_id).first()
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study = Study.from_model(study_model)
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study.categories = StudyService.get_categories()
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workflow_metas = StudyService.__get_workflow_metas(study_id)
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study.approvals = ApprovalService.get_approvals_for_study(study.id)
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files = FileService.get_files_for_study(study.id)
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files = (File.from_models(model, FileService.get_file_data(model.id),
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FileService.get_doc_dictionary()) for model in files)
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study.files = list(files)
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# Calling this line repeatedly is very very slow. It creates the
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# master spec and runs it. Don't execute this for Abandoned studies, as
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# we don't have the information to process them.
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if study.protocol_builder_status != ProtocolBuilderStatus.ABANDONED:
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status = StudyService.__get_study_status(study_model)
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study.warnings = StudyService.__update_status_of_workflow_meta(workflow_metas, status)
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# Group the workflows into their categories.
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for category in study.categories:
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category.workflows = {w for w in workflow_metas if w.category_id == category.id}
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return study
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@staticmethod
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def delete_study(study_id):
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session.query(TaskEventModel).filter_by(study_id=study_id).delete()
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for workflow in session.query(WorkflowModel).filter_by(study_id=study_id):
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StudyService.delete_workflow(workflow)
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session.query(StudyModel).filter_by(id=study_id).delete()
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session.commit()
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@staticmethod
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def delete_workflow(workflow):
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for file in session.query(FileModel).filter_by(workflow_id=workflow.id).all():
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FileService.delete_file(file.id)
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for dep in workflow.dependencies:
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session.delete(dep)
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session.query(TaskEventModel).filter_by(workflow_id=workflow.id).delete()
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session.query(WorkflowModel).filter_by(id=workflow.id).delete()
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@staticmethod
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def get_categories():
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"""Returns a list of category objects, in the correct order."""
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cat_models = db.session.query(WorkflowSpecCategoryModel) \
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.order_by(WorkflowSpecCategoryModel.display_order).all()
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categories = []
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for cat_model in cat_models:
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categories.append(Category(cat_model))
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return categories
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@staticmethod
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def get_approvals(study_id):
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"""Returns a list of non-hidden approval workflows."""
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study = StudyService.get_study(study_id)
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cat = next(c for c in study.categories if c.name == 'approvals')
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approvals = []
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for wf in cat.workflows:
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if wf.state is WorkflowState.hidden:
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continue
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workflow = db.session.query(WorkflowModel).filter_by(id=wf.id).first()
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approvals.append({
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'study_id': study_id,
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'workflow_id': wf.id,
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'display_name': wf.display_name,
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'display_order': wf.display_order or 0,
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'name': wf.name,
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'state': wf.state.value,
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'status': wf.status.value,
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'workflow_spec_id': workflow.workflow_spec_id,
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})
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approvals.sort(key=lambda k: k['display_order'])
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return approvals
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@staticmethod
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def get_documents_status(study_id):
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"""Returns a list of documents related to the study, and any file information
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that is available.."""
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# Get PB required docs, if Protocol Builder Service is enabled.
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if ProtocolBuilderService.is_enabled() and study_id is not None:
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try:
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pb_docs = ProtocolBuilderService.get_required_docs(study_id=study_id)
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except requests.exceptions.ConnectionError as ce:
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app.logger.error(f'Failed to connect to the Protocol Builder - {str(ce)}', exc_info=True)
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pb_docs = []
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else:
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pb_docs = []
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# Loop through all known document types, get the counts for those files,
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# and use pb_docs to mark those as required.
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doc_dictionary = FileService.get_reference_data(FileService.DOCUMENT_LIST, 'code', ['id'])
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documents = {}
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for code, doc in doc_dictionary.items():
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if ProtocolBuilderService.is_enabled():
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pb_data = next((item for item in pb_docs if int(item['AUXDOCID']) == int(doc['id'])), None)
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doc['required'] = False
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if pb_data:
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doc['required'] = True
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doc['study_id'] = study_id
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doc['code'] = code
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# Make a display name out of categories
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name_list = []
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for cat_key in ['category1', 'category2', 'category3']:
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if doc[cat_key] not in ['', 'NULL']:
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name_list.append(doc[cat_key])
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doc['display_name'] = ' / '.join(name_list)
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# For each file, get associated workflow status
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doc_files = FileService.get_files_for_study(study_id=study_id, irb_doc_code=code)
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doc['count'] = len(doc_files)
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doc['files'] = []
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for file in doc_files:
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doc['files'].append({'file_id': file.id,
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'workflow_id': file.workflow_id})
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# update the document status to match the status of the workflow it is in.
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if 'status' not in doc or doc['status'] is None:
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workflow: WorkflowModel = session.query(WorkflowModel).filter_by(id=file.workflow_id).first()
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doc['status'] = workflow.status.value
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documents[code] = doc
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return documents
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@staticmethod
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def get_investigators(study_id, all=False):
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"""Convert array of investigators from protocol builder into a dictionary keyed on the type. """
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# Loop through all known investigator types as set in the reference file
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inv_dictionary = FileService.get_reference_data(FileService.INVESTIGATOR_LIST, 'code')
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# Get PB required docs
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pb_investigators = ProtocolBuilderService.get_investigators(study_id=study_id)
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# It is possible for the same type to show up more than once in some circumstances, in those events
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# append a counter to the name.
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investigators = {}
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for i_type in inv_dictionary:
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pb_data_entries = list(item for item in pb_investigators if item['INVESTIGATORTYPE'] == i_type)
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entry_count = 0
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investigators[i_type] = copy(inv_dictionary[i_type])
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investigators[i_type]['user_id'] = None
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for pb_data in pb_data_entries:
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entry_count += 1
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if entry_count == 1:
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t = i_type
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else:
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t = i_type + "_" + str(entry_count)
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investigators[t] = copy(inv_dictionary[i_type])
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investigators[t]['user_id'] = pb_data["NETBADGEID"]
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investigators[t].update(StudyService.get_ldap_dict_if_available(pb_data["NETBADGEID"]))
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if not all:
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investigators = dict(filter(lambda elem: elem[1]['user_id'] is not None, investigators.items()))
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return investigators
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@staticmethod
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def get_ldap_dict_if_available(user_id):
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try:
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return LdapSchema().dump(LdapService().user_info(user_id))
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except ApiError as ae:
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app.logger.info(str(ae))
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return {"error": str(ae)}
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except LDAPSocketOpenError:
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app.logger.info("Failed to connect to LDAP Server.")
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return {}
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@staticmethod
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def get_protocol(study_id):
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"""Returns the study protocol, if it has been uploaded."""
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file = db.session.query(FileModel)\
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.filter_by(study_id=study_id)\
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.filter_by(form_field_key='Study_Protocol_Document')\
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.first()
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return FileModelSchema().dump(file)
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@staticmethod
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def synch_with_protocol_builder_if_enabled(user):
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"""Assures that the studies we have locally for the given user are
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in sync with the studies available in protocol builder. """
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if ProtocolBuilderService.is_enabled():
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app.logger.info("The Protocol Builder is enabled. app.config['PB_ENABLED'] = " +
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str(app.config['PB_ENABLED']))
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# Get studies matching this user from Protocol Builder
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pb_studies: List[ProtocolBuilderStudy] = ProtocolBuilderService.get_studies(user.uid)
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# Get studies from the database
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db_studies = session.query(StudyModel).filter_by(user_uid=user.uid).all()
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# Update all studies from the protocol builder, create new studies as needed.
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# Futher assures that every active study (that does exist in the protocol builder)
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# has a reference to every available workflow (though some may not have started yet)
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for pb_study in pb_studies:
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db_study = next((s for s in db_studies if s.id == pb_study.STUDYID), None)
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if not db_study:
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db_study = StudyModel(id=pb_study.STUDYID)
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session.add(db_study)
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db_studies.append(db_study)
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db_study.update_from_protocol_builder(pb_study)
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StudyService._add_all_workflow_specs_to_study(db_study)
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# Mark studies as inactive that are no longer in Protocol Builder
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for study in db_studies:
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pb_study = next((pbs for pbs in pb_studies if pbs.STUDYID == study.id), None)
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if not pb_study:
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study.protocol_builder_status = ProtocolBuilderStatus.ABANDONED
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db.session.commit()
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@staticmethod
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def __update_status_of_workflow_meta(workflow_metas, status):
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# Update the status on each workflow
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warnings = []
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for wfm in workflow_metas:
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if wfm.name in status.keys():
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if not WorkflowState.has_value(status[wfm.name]):
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warnings.append(ApiError("invalid_status",
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"Workflow '%s' can not be set to '%s', should be one of %s" % (
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wfm.name, status[wfm.name], ",".join(WorkflowState.list())
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)))
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else:
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wfm.state = WorkflowState[status[wfm.name]]
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else:
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warnings.append(ApiError("missing_status", "No status specified for workflow %s" % wfm.name))
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return warnings
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@staticmethod
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def __get_workflow_metas(study_id):
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# Add in the Workflows for each category
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workflow_models = db.session.query(WorkflowModel). \
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join(WorkflowSpecModel). \
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filter(WorkflowSpecModel.is_master_spec == False). \
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filter(WorkflowModel.study_id == study_id). \
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all()
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workflow_metas = []
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for workflow in workflow_models:
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workflow_metas.append(WorkflowMetadata.from_workflow(workflow))
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return workflow_metas
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@staticmethod
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def __get_study_status(study_model):
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"""Uses the Top Level Workflow to calculate the status of the study, and it's
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workflow models."""
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master_specs = db.session.query(WorkflowSpecModel). \
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filter_by(is_master_spec=True).all()
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if len(master_specs) < 1:
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raise ApiError("missing_master_spec", "No specifications are currently marked as the master spec.")
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if len(master_specs) > 1:
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raise ApiError("multiple_master_specs",
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"There is more than one master specification, and I don't know what to do.")
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return WorkflowProcessor.run_master_spec(master_specs[0], study_model)
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@staticmethod
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def _add_all_workflow_specs_to_study(study_model:StudyModel):
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existing_models = session.query(WorkflowModel).filter(WorkflowModel.study == study_model).all()
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existing_specs = list(m.workflow_spec_id for m in existing_models)
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new_specs = session.query(WorkflowSpecModel). \
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filter(WorkflowSpecModel.is_master_spec == False). \
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filter(WorkflowSpecModel.id.notin_(existing_specs)). \
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all()
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errors = []
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for workflow_spec in new_specs:
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try:
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StudyService._create_workflow_model(study_model, workflow_spec)
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except WorkflowTaskExecException as wtee:
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errors.append(ApiError.from_task("workflow_startup_exception", str(wtee), wtee.task))
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except WorkflowException as we:
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errors.append(ApiError.from_task_spec("workflow_startup_exception", str(we), we.sender))
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return errors
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@staticmethod
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def _create_workflow_model(study: StudyModel, spec):
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workflow_model = WorkflowModel(status=WorkflowStatus.not_started,
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study=study,
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workflow_spec_id=spec.id,
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last_updated=datetime.now())
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session.add(workflow_model)
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session.commit()
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return workflow_model
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