cr-connect-workflow/example_data.py

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


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='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='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="sponsor_funding_source",
                         name="sponsor_funding_source",
                         display_name="Sponsor and/or Funding Source ",
                         description='TBD')

    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."""
        file_service = FileService()

        spec = WorkflowSpecModel(id=id,
                                 name=name,
                                 display_name=display_name,
                                 description=description)
        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_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)
            finally:
                file.close()
        return spec