cr-connect-workflow/example_data.py

114 lines
4.9 KiB
Python

import datetime
import glob
import os
import xml.etree.ElementTree as ElementTree
from crc import app, db, session
from crc.models.file import FileType, FileModel, FileDataModel, CONTENT_TYPES
from crc.models.study import StudyModel
from crc.models.user import UserModel
from crc.models.workflow import WorkflowSpecModel
from crc.services.file_service import FileService
from crc.services.workflow_processor import WorkflowProcessor
from crc.models.protocol_builder import ProtocolBuilderStatus
class ExampleDataLoader:
@staticmethod
def clean_db():
session.flush() # Clear out any transactions before deleting it all to avoid spurious errors.
for table in reversed(db.metadata.sorted_tables):
session.execute(table.delete())
session.flush()
def load_all(self):
users = [
UserModel(
uid='dhf8r',
email_address='dhf8r@virginia.EDU',
display_name='Daniel Harold Funk',
affiliation='staff@virginia.edu;member@virginia.edu',
eppn='dhf8r@virginia.edu',
first_name='Daniel',
last_name='Funk',
title='SOFTWARE ENGINEER V'
)
]
db.session.add_all(users)
db.session.commit()
studies = [
StudyModel(
id=1,
title='The impact of fried pickles on beer consumption in bipedal software developers.',
last_updated=datetime.datetime.now(),
protocol_builder_status=ProtocolBuilderStatus.IN_PROCESS,
primary_investigator_id='dhf8r',
sponsor='Sartography Pharmaceuticals',
ind_number='1234',
user_uid='dhf8r'
),
StudyModel(
id=2,
title='Requirement of hippocampal neurogenesis for the behavioral effects of soft pretzels',
last_updated=datetime.datetime.now(),
protocol_builder_status=ProtocolBuilderStatus.IN_PROCESS,
primary_investigator_id='dhf8r',
sponsor='Makerspace & Co.',
ind_number='5678',
user_uid='dhf8r'
),
]
db.session.add_all(studies)
db.session.commit()
self.create_spec(id="crc2_training_session_enter_core_info",
name="crc2_training_session_enter_core_info",
display_name="CR Connect2 - Training Session - Core Info",
description='Part of Milestone 3 Deliverable')
self.create_spec(id="crc2_training_session_data_security_plan",
name="crc2_training_session_data_security_plan",
display_name="CR Connect2 - Training Session - Data Security Plan",
description='Part of Milestone 3 Deliverable')
self.create_spec(id="crc2_training_session_sponsor_funding_source",
name="crc2_training_session_sponsor_funding_source",
display_name="CR Connect2 - Training Session - Sponsor and/or Funding Source",
description='Part of Milestone 3 Deliverable')
def create_spec(self, id, name, display_name="", description="", filepath=None):
"""Assumes that a directory exists in static/bpmn with the same name as the given id.
further assumes that the [id].bpmn is the primary file for the workflow.
returns an array of data models to be added to the database."""
global file
file_service = FileService()
spec = WorkflowSpecModel(id=id,
name=name,
display_name=display_name,
description=description,
is_status=id == 'status')
db.session.add(spec)
db.session.commit()
if not filepath:
filepath = os.path.join(app.root_path, 'static', 'bpmn', id, "*")
files = glob.glob(filepath)
for file_path in files:
noise, file_extension = os.path.splitext(file_path)
filename = os.path.basename(file_path)
is_status = filename.lower() == 'status.bpmn'
is_primary = filename.lower() == id + '.bpmn'
try:
file = open(file_path, 'rb')
data = file.read()
content_type = CONTENT_TYPES[file_extension[1:]]
file_service.add_workflow_spec_file(workflow_spec=spec, name=filename, content_type=content_type,
binary_data=data, primary=is_primary, is_status=is_status)
except IsADirectoryError as de:
# Ignore sub directories
pass
finally:
if file:
file.close()
return spec