def initialise_method_templates(session):
    """
    Initialise the default method templates.

    :param session: Database connection to add the created templates to
    :return: None
    """
    blank_template = session.query(MethodTemplate).filter_by(name="Blank Template").first()
    if not blank_template:
        blank_method = Method()
        #            blank_method.method_description = "Test description"
        session.add(blank_method)  # Add an empty project as a blank template

        blank_dataset = Dataset()
        blank_dataset.name = "Test Title"
        session.add(blank_dataset)  # Add an empty project as a blank template
        session.flush()

        blank_template = MethodTemplate()
        blank_template.template_id = blank_method.id
        blank_template.dataset_id = blank_dataset.id
        blank_template.category = "Blank (No pre-fill)"
        blank_template.name = "Blank Template"
        blank_template.description = (
            "An empty template that allows you to start from scratch (only for advanced "
            "users or if no other template is relevent)."
        )
        session.add(blank_template)  # Add an empty project as a blank template

    tree_template = session.query(MethodTemplate).filter_by(name="Artificial Tree").first()
    if not tree_template:
        tree_method = Method()
        tree_method.method_name = "Artificial Sensor Tree"
        tree_method.method_description = (
            "Collection method for ingesting aggregated tree sensor data from an external file server."
        )
        tree_method.data_source = PullDataSource.__tablename__

        tree_schema = MethodSchema()
        tree_schema.name = "ArtificialTree"
        tree_data_field = MethodSchemaField()
        tree_data_field.type = "file"
        tree_data_field.units = "text"
        tree_data_field.name = "TreeData"
        tree_data_field.description = "Aggregated data of all sensors for an artificial tree."
        tree_schema.custom_fields = [tree_data_field]
        tree_method.data_type = tree_schema
        #            blank_method.method_description = "Test description"
        session.add(tree_method)  # Add an empty project as a blank template

        tree_dataset = Dataset()
        tree_dataset.name = "Raw Artificial Tree Data"
        tree_datasource = PullDataSource()
        tree_datasource.uri = "http://emu.hpc.jcu.edu.au/tree/split/"
        tree_datasource.filename_pattern = ""
        tree_datasource.selected_sampling = PullDataSource.periodic_sampling.key
        tree_datasource.periodic_sampling = "1"
        tree_dataset.pull_data_source = tree_datasource
        session.add(tree_dataset)  # Add an empty project as a blank template
        session.flush()

        tree_template = MethodTemplate()
        tree_template.template_id = tree_method.id
        tree_template.dataset_id = tree_dataset.id
        tree_template.category = "Artificial Tree"
        tree_template.name = "Artificial Tree"
        tree_template.description = "Template for setting up ingestion from an artificial tree."
        session.add(tree_template)  # Add an empty project as a blank template

    sensor_template = session.query(MethodTemplate).filter_by(name="Artificial Tree Sensor").first()
    if not sensor_template:
        sensor_method = Method()
        sensor_method.method_name = "Artificial Tree Sensor"
        sensor_method.method_description = (
            "Filter and index one sensor station from the aggregated artificial tree data."
        )
        sensor_method.data_source = DatasetDataSource.__tablename__

        sensor_method.data_type = session.query(MethodSchema).filter_by(name="Temperature").first()
        #            blank_method.method_description = "Test description"
        session.add(sensor_method)  # Add an empty project as a blank template

        sensor_dataset = Dataset()
        sensor_dataset.name = "Artificial Tree Sensor"
        sensor_datasource = DatasetDataSource()
        sensor_datasource.custom_processing_parameters = (
            "file_field=TreeData, temp_field=Temperature, sensor_id=28180E08030000BE"
        )
        sensor_dataset.dataset_data_source = sensor_datasource
        session.add(sensor_dataset)  # Add an empty project as a blank template
        session.flush()

        sensor_template = MethodTemplate()
        sensor_template.template_id = sensor_method.id
        sensor_template.dataset_id = sensor_dataset.id
        sensor_template.category = "Artificial Tree"
        sensor_template.name = "Artificial Tree Sensor"
        sensor_template.description = "Templates setting up post-processing and indexing of one artificial tree sensor from the aggregated artificial tree data."
        session.add(sensor_template)  # Add an empty project as a blank template

    placeholder_template_names = [
        "DRO",
        "Australian Wet Tropics",
        "TERN Supersite",
        "The Wallace Initiative",
        "Tropical Futures",
    ]

    templates = session.query(MethodTemplate).all()
    print len(templates)
    if len(templates) <= 1:
        count = 0
        for name in placeholder_template_names:
            for i in range(random.randint(2, 5)):
                template = MethodTemplate()
                template.template_id = blank_template.id
                template.dataset_id = blank_template.dataset_id
                template.category = name
                template.name = name + " Placeholder Template " + str(count) + " (Testing Only)"
                count += 1
                template.description = (
                    "An empty template that allows you to start from scratch (only for advanced "
                    "users or if no other template is relevent)."
                )
                session.add(template)  # Add an empty project as a blank template
Ejemplo n.º 2
0
    def setUp(self):
        self.config = ConfigParser.SafeConfigParser()
        self.config.read('../../development.ini')
        settings = self.config._sections["app:main"]
        engine = engine_from_config(settings, 'sqlalchemy.')
        DBSession.configure(bind=engine)
        Base.metadata.create_all(engine)
        self.session = DBSession()

        self.auth = CredentialsAuthentication(self.config.get("app:main", "ingesterapi.username"), self.config.get("app:main", "ingesterapi.password"))
        self.ingester_api = IngesterAPIWrapper(self.config.get("app:main", "ingesterapi.url"), self.auth)

        self.project = Project()
#        self.project.description = "This is a test description for the DC24 provisioning interface"
#        self.project.no_activity = True
#        self.project.project_title = "This is a test title for the test DC24 project"
#        self.project.data_manager = "A Person"
#        self.project.project_lead = "Another Person"
#        self.project.brief_description = "This is a test brief description"
#        self.project.full_description = "This is a test full description"

#        keyword1 = Keyword()
#        keyword1.id = 0
#        keyword1.project_id = self.project.id
#        keyword1.keyword = "Test Keyword"
#        self.project.keywords.append(keyword1)

#        for1 = FieldOfResearch()
#        for1.id = 0
#        for1.project_id = self.project.id
#        for1.field_of_research = "010101"
#        self.project.fieldOfResearch.append(for1)
#
#        seo1 = FieldOfResearch()
#        seo1.id = 0
#        seo1.project_id = self.project.id
#        seo1.field_of_research = "010101"
#        self.project.socioEconomicObjective.append(seo1)
#        self.project.ecosystems_conservation_climate = True
#        self.project.typeOfResearch = "applied"
#        self.project.time_period_description = "Test time period description " + str(self.project.id)
#        self.project.date_from = 12345
#        self.project.date_to = 1234
#        self.project.location_description = "Test location description"

        test_location = Location()
        test_location.name = "Test Location"
        test_location.location = "POINT(135.8763427287297 -24.167471616893767)"
        test_location.elevation = 12.3

        self.project.information = Metadata()
        self.project.information.locations.append(test_location)
        self.project.information.retention_period = "5"
        self.project.metadata.national_significance = False

        method1 = Method()
        method1.method_name = "Artificial tree sensor"
        method1.method_description = "A custom developed sensor consisting of a calibrated temperature sensor and a humidity sensor (which also has an uncalibrated temperature sensor within it)"
        method1.data_source = PullDataSource.__tablename__

        temperature_schema = self.session.query(MethodSchema).filter_by(id=1).first()

        method1.data_type = MethodSchema()
        method1.data_type.name = "Test Schema"
        method1.data_type.parents.append(temperature_schema) # This is the default template schema that is setup on first run within scripts\initialise_database.py


# The data entry location offset functionality has been changed
#        offset_schema = MethodSchema()
#        offset_schema.id = 1
#        offset_schema.template_schema = True
#        offset_schema.name = "XYZ Offset Schema"
#        offset = LocationOffset()
#
#        x_offset = MethodSchemaField()
#        x_offset.id = 0
#        x_offset.method_schema_id = offset_schema.id
#        x_offset.type = "Double"
#        x_offset.units = "m"
#        offset_schema.custom_fields.append(x_offset)
#
#        y_offset = MethodSchemaField()
#        y_offset.id = 1
#        y_offset.method_schema_id = offset_schema.id
#        y_offset.type = "Double"
#        y_offset.units = "m"
#        offset_schema.custom_fields.append(y_offset)
#
#        z_offset = MethodSchemaField()
#        z_offset.id = 2
#        z_offset.method_schema_id = offset_schema.id
#        z_offset.type = "Double"
#        z_offset.units = "m"
#        offset_schema.custom_fields.append(z_offset)
#
#        method1.data_type.parents.append(offset_schema)

        custom_field = MethodSchemaField()
        custom_field.name = "Distance"
        custom_field.type = "file"
        custom_field.units = "text/cvs"
        method1.data_type.custom_fields.append(custom_field)
        self.project.methods.append(method1)

        self.session.add(method1)
        self.session.flush()

        dataset1 = Dataset()
        dataset1.method_id = method1.id
        dataset1.disabled = False
        dataset1.description = "Test dataset"

        data_source = PullDataSource()
        data_source.uri = "http://localhost/test_ingestion"
        data_source.mime_type = custom_field.units
        data_source.selected_sampling = PullDataSource.periodic_sampling.key
        data_source.file_field = custom_field.id
        data_source.periodic_sampling = 1

        dataset1.pull_data_source = data_source

        dataset1.time_period_description = "Test dataset time description"
        dataset1.date_from = 1234
        dataset1.date_to = 1234
        dataset1.location_description = "Test dataset location description"
        dataset1.elevation = 12.5

        # If project location is set:
        #   Allow user to provide offset only (set dataset location to project location)
        # Else:
        #   Must set location (with optional offset)

        # TODO: For locations in project: add as region to location

        dataset_location = Location()
        dataset_location.name = "Test Dataset Location"
        dataset_location.location = "POINT(132.8763427287297 -24.167471616893767)"
        dataset_location.elevation = 12.6
        dataset1.dataset_locations.append(dataset_location)

        location_offset = LocationOffset(0, 0, 5)
        dataset1.location_offset = location_offset

        self.project.datasets.append(dataset1)

        self.session.add(self.project)
        self.session.flush()