67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
import datetime
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import os
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from crc import db, app
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from crc.models import StudyModel, WorkflowSpecModel, FileType, FileModel, FileDataModel
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class ExampleDataLoader:
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def make_data(self):
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studies = [
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StudyModel(
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id=1,
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title='The impact of fried pickles on beer consumption in bipedal software developers.',
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last_updated=datetime.datetime.now(),
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protocol_builder_status='in_process',
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primary_investigator_id='dhf8r',
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sponsor='Sartography Pharmaceuticals',
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ind_number='1234'
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),
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StudyModel(
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id=2,
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title='Requirement of hippocampal neurogenesis for the behavioral effects of soft pretzels',
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last_updated=datetime.datetime.now(),
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protocol_builder_status='in_process',
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primary_investigator_id='dhf8r',
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sponsor='Makerspace & Co.',
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ind_number='5678'
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),
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]
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workflow_specs = [WorkflowSpecModel(
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id="random_fact",
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display_name="Random Fact Generator",
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description='Displays a random fact about a topic of your choosing.',
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)]
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workflow_spec_files = [WorkflowSpecModel(
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id="random_fact",
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display_name="Random Fact Generator",
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description='Displays a random fact about a topic of your choosing.',
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)]
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workflow_spec_files = [FileModel(name="random_fact.bpmn",
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type=FileType.bpmn,
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version="1",
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last_updated=datetime.datetime.now(),
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primary=True,
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workflow_spec_id=workflow_specs[0].id)]
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filename = os.path.join(app.root_path, 'static', 'bpmn', 'random_fact', 'random_fact.bpmn')
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file = open(filename, "rb")
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workflow_data = [FileDataModel(data=file.read(), file_model=workflow_spec_files[0])]
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all_data = studies+workflow_specs+workflow_spec_files+workflow_data
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return all_data
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@staticmethod
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def clean_db():
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db.session.flush() # Clear out any transactions before deleting it all to avoid spurious errors.
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for table in reversed(db.metadata.sorted_tables):
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db.session.execute(table.delete())
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db.session.flush()
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def load_all(self):
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db.session.add_all(self.make_data())
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db.session.commit()
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db.session.flush()
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