Пример #1
0
def forwards_func(apps, schema_editor):
    org_ks = {
        "Organization": {
            "name": "A test Organization",
            "website": "http://new_org.example.com",
            "description": ""
        },
        "KnowledgeServer": {
            "name": "A test OKS.",
            "netloc": "test.thekoa.org",
            "description": "It has some datasets and structures",
            "html_home": "",
            "html_disclaimer": ""
        }
    }
    KnowledgeServer.create_this_ks(org_ks)
    this_ks_d = KnowledgeServer.this_knowledge_server('default')

    dssContinentState = DataSetStructure()
    dssContinentState.name = "Test Continent-SubContinent-State"
    dssContinentState.SetNotNullFields()
    dssContinentState.save()

    mmContinent = dssContinentState.create_model_metadata(
        "Continent", "test1", "name")
    mmSubContinent = dssContinentState.create_model_metadata(
        "SubContinent", "test1", "name")
    mmState = dssContinentState.create_model_metadata("State", "test1", "name")

    # It creates ModelMetadata and a DataSet for each of them; having the DataSetStructure makes it
    # possible to release and materialize the datasets with dangling references that will be
    # resolved once the dss is released and materialized.
    KnowledgeServer.register_models([mmContinent, mmSubContinent, mmState])

    # it creates the root node of the dataset structure
    dssContinentState.root_model_metadata(mmContinent)
    # and child nodes for two attributes/fields
    dssContinentState.root_node.children_nodes_for(
        ["subcontinent_set", "state_set"], this_ks_d.netloc)
    dssContinentState.save()

    dss_dss = DataSetStructure.get_from_name(
        DataSetStructure.dataset_structure_DSN)

    ds = DataSet(
        description=
        'DataSet for data set structure "Continent-SubContinent-State"',
        knowledge_server=this_ks_d,
        dataset_structure=dss_dss,
        root=dssContinentState,
        version_major=0,
        version_minor=1,
        version_patch=0)
    ds.save()
    ds.set_released()

    europe = Continent()
    europe.name = "Europe"
    europe.save()
    asia = Continent()
    asia.name = "Asia"
    asia.save()
    south_europe = SubContinent()
    south_europe.name = "South Europe"
    south_europe.continent = europe
    south_europe.save()
    central_europe = SubContinent()
    central_europe.name = "Central Europe"
    central_europe.continent = europe
    central_europe.save()
    italy = State()
    italy.name = "Italy"
    italy.sub_continent = south_europe
    italy.continent = europe
    italy.save()
    spain = State()
    spain.name = "Spain"
    spain.sub_continent = south_europe
    spain.continent = europe
    spain.save()
    germany = State()
    germany.name = "Germany"
    germany.sub_continent = central_europe
    germany.continent = europe
    germany.save()

    ds = DataSet(knowledge_server=this_ks_d,
                 dataset_structure=dssContinentState,
                 root=europe,
                 description="Europe",
                 version_major=0,
                 version_minor=1,
                 version_patch=0,
                 version_description="")
    ds.save()
    ds.set_released()
    ds = DataSet(knowledge_server=this_ks_d,
                 dataset_structure=dssContinentState,
                 root=asia,
                 description="Asia",
                 version_major=0,
                 version_minor=1,
                 version_patch=0,
                 version_description="")
    ds.save()
    ds.set_released()
Пример #2
0
def forwards_func(apps, schema_editor):
    this_ks_d = KnowledgeServer.this_knowledge_server('default')

    dss_workflow = DataSetStructure(name='Workflow')
    dss_workflow.description = 'Workflow-Method-Attribute-PermissionStatement'
    dss_workflow.SetNotNullFields()
    dss_workflow.save()

    mm_workflow = Workflow().get_model_metadata(db_alias='default')
    models_for_dss_workflow = [
        {
            "name": "Attribute",
            "module": "ap",
            "name_field": "",
            "description_field": ""
        },
        {
            "name": "Widget",
            "module": "ap",
            "name_field": "",
            "description_field": ""
        },
        {
            "name": "AttributeInAMethod",
            "module": "ap",
            "name_field": "",
            "description_field": ""
        },
        {
            "name": "PermissionStatement",
            "module": "ap",
            "name_field": "",
            "description_field": ""
        },
    ]
    mm_attribute, mm_widget, mm_attribute_in_a_method, mm_permission_statement, mm_permission_holder = dss_workflow.create_many_model_metadata(
        models_for_dss_workflow)

    mm_workflow_method = dss_workflow.create_model_metadata(
        name="WorkflowMethod", module="ap")
    mm_attribute = dss_workflow.create_model_metadata(name="Attribute",
                                                      module="ap",
                                                      name_field="",
                                                      description_field="")
    mm_widget = dss_workflow.create_model_metadata(name="Widget",
                                                   module="ap",
                                                   name_field="",
                                                   description_field="")
    mm_attribute_in_a_method = dss_workflow.create_model_metadata(
        name="AttributeInAMethod",
        module="ap",
        name_field="",
        description_field="")
    mm_permission_statement = dss_workflow.create_model_metadata(
        name="PermissionStatement",
        module="ap",
        name_field="",
        description_field="")
    # check quale DSS
    mm_attribute_type = dss_workflow.create_model_metadata(
        name="AttributeType", module="ap")
    mm_attribute_group = dss_workflow.create_model_metadata(
        name="AttributeGroup", module="ap")
    # WorkflowsMethods è un many to many through, va fatto ?
    WorkflowTransition
    Application
    ModelMetadataSearch
    ApplicationStructureNodeSearch
    AttributeInASearch
    KSUser
    KSRole
    KSGroup
    # check quale DSS; sul diagramma sul foglio?

    # It creates a DataSet for each of them; having the DataSetStructure makes it
    # possible to release and materialize the datasets with dangling references that will be
    # resolved once the dss is released and materialized.
    KnowledgeServer.register_models([
        mm_workflow_method, mm_attribute_in_a_method, mm_permission_statement,
        mm_attribute, mm_attribute_type, mm_attribute_group, mm_widget,
        mm_permission_holder
    ])

    # it creates the root node from the ModelMetadata provided
    dss_workflow.root_model_metadata(mm_workflow)
    # child nodes for two attributes/fields
    dss_workflow.root_node.children_nodes_for(["methods"], this_ks_d.netloc)
    dss_workflow.root_node.children_external_references_nodes_for(
        ["type"], this_ks_d.netloc)

    method_node = dss_workflow.root_node.child_nodes.all()[0]
    method_node.children_external_references_nodes_for(
        ["initial_statuses", "final_status"], this_ks_d.netloc)
    method_node.children_nodes_for(["attributeinamethod_set", "permission"],
                                   this_ks_d.netloc)
    attribute_in_a_method_node = [
        cn for cn in method_node.child_nodes.all()
        if cn.attribute == "attributeinamethod_set"
    ][0]
    attribute_in_a_method_node.children_external_references_nodes_for(
        ["attribute", "custom_widget"], this_ks_d.netloc)

    permission_node = [
        cn for cn in method_node.child_nodes.all()
        if cn.attribute == "permission"
    ][0]
    permission_node.children_external_references_nodes_for(
        ["permission_holder"], this_ks_d.netloc)

    dss_workflow.save()

    dss_dss = DataSetStructure.get_from_name(
        DataSetStructure.dataset_structure_DSN)
    ds = DataSet(
        description=
        'DataSet for data set structure "Workflow-Method-Attribute-PermissionStatement"',
        knowledge_server=this_ks_d,
        dataset_structure=dss_dss,
        root=dss_workflow,
        version_major=0,
        version_minor=1,
        version_patch=0,
        version_description="")
    ds.save()
    ds.set_released()

    # Application now is on its own dataset structure so we don't create it and just use the shallow one
    mm_application = dss_workflow.create_model_metadata(
        name='Application',
        module='ap',
        name_field="name",
        description_field="description")
    KnowledgeServer.register_models([mm_application])