Пример #1
0
def apply_customization_workflow(name, ti):
    """Apply customizations, features as per configuration from a workflow. 
    Must (currently) be run after db setup.
    """
    # support to infer/get the domain class from the type key
    from bungeni.models import domain, orm
    def get_domain_kls(name):
        """Infer the target domain kls from the type key, following underscore 
        naming to camel case convention.
        """
        return getattr(domain, naming.camel(name))
    
    # get the domain class, and associate with type
    kls = get_domain_kls(name)
    ti.domain_model = kls
    
    # We "mark" the domain class with IWorkflowed, to be able to 
    # register/lookup adapters generically on this single interface.
    classImplements(kls, IWorkflowed)
    
    # dynamic features from workflow
    wf = ti.workflow
    # decorate/modify domain/schema/mapping as needed
    kls = domain.configurable_domain(kls, wf)
    orm.configurable_mappings(kls)
    
    # !+ following should be part of the domain.feature_audit(kls) logic
    if wf.has_feature("audit"):
        # create/set module-level dedicated auditor singleton for auditable kls
        bungeni.core.audit.set_auditor(kls)
Пример #2
0
def apply_customization_workflow(name):
    """Apply customizations, features as per configuration from a workflow. 
    Must (currently) be run after db setup.
    """

    # support to infer/get the domain class from the workflow name
    def camel(name):
        """Convert an underscore-separated word to CamelCase.
        """
        return "".join([s.capitalize() for s in name.split("_")])

    from bungeni.models import domain, schema, orm

    def get_domain_kls(workflow_name):
        """Infer a workflow's target domain kls from the workflow file name, 
        following underscore naming to camel case convention; names that do 
        not follow the convention are custom handled, as per mapping below.
        """
        # !+ should state it explicitly as a param?
        # !+ problem with multiple types sharing same workflow e.g.
        #    UserAddress, GroupAddress
        kls_name = camel(
            get_domain_kls.non_conventional.get(workflow_name, workflow_name))
        return getattr(domain, kls_name)

    # !+RENAME_TO_CONVENTION
    get_domain_kls.non_conventional = {
        "address":
        "address",  # !+ use common base cls for User & Group addresses
        "agendaitem": "agenda_item",
        "attachedfile": "attached_file",
        "event": "event_item",
        "groupsitting": "group_sitting",
        "tableddocument": "tabled_document",
    }
    # get the domain class
    kls = get_domain_kls(name)

    # We "mark" the domain class with IWorkflowed, to be able to
    # register/lookup adapters generically on this single interface.
    classImplements(kls, IWorkflowed)

    # dynamic features from workflow
    wf = get_workflow(name)
    # note: versionable implies auditable
    if wf.auditable or wf.versionable:
        # decorate the kls
        if wf.versionable:
            kls = domain.versionable(kls)
        elif wf.auditable:
            kls = domain.auditable(kls)
        # modify schema/mapping as needed
        schema.configurable_schema(kls)
        orm.configurable_mappings(kls)
        # create/set module-level dedicated auditor singleton for auditable kls
        bungeni.core.audit.set_auditor(kls)
Пример #3
0
 def _apply_customization_workflow(kls):
     # decorate/modify domain/schema/mapping as needed
     kls = domain.configurable_domain(kls, wf)
     schema.configurable_schema(kls)
     orm.configurable_mappings(kls)
     # !+ ok to call set_auditor(kls) more than once?
     # !+ following should be part of the domain.auditable(kls) logic
     if wf.has_feature("audit"):
         # create/set module-level dedicated auditor singleton for auditable kls
         bungeni.core.audit.set_auditor(kls)
Пример #4
0
 def _apply_customization_workflow(kls):
     # decorate/modify domain/schema/mapping as needed
     kls = domain.configurable_domain(kls, wf)
     schema.configurable_schema(kls)
     orm.configurable_mappings(kls)
     # !+ ok to call set_auditor(kls) more than once?
     # !+ following should be part of the domain.auditable(kls) logic
     if wf.has_feature("audit"):
         # create/set module-level dedicated auditor singleton for auditable kls
         bungeni.core.audit.set_auditor(kls)
Пример #5
0
def apply_customization_workflow(name):
    """Apply customizations, features as per configuration from a workflow. 
    Must (currently) be run after db setup.
    """
    # support to infer/get the domain class from the workflow name
    def camel(name):
        """Convert an underscore-separated word to CamelCase.
        """
        return "".join([ s.capitalize() for s in name.split("_") ])
    from bungeni.models import domain, schema, orm
    def get_domain_kls(workflow_name):
        """Infer a workflow's target domain kls from the workflow file name, 
        following underscore naming to camel case convention; names that do 
        not follow the convention are custom handled, as per mapping below.
        """
        # !+ should state it explicitly as a param?
        # !+ problem with multiple types sharing same workflow e.g. 
        #    UserAddress, GroupAddress
        kls_name = camel(
            get_domain_kls.non_conventional.get(workflow_name, workflow_name))
        return getattr(domain, kls_name)
    # !+RENAME_TO_CONVENTION
    get_domain_kls.non_conventional = {
        "address": "address", # !+ use common base cls for User & Group addresses
        "agendaitem": "agenda_item",
        "attachedfile": "attached_file",
        "event": "event_item",
        "groupsitting": "group_sitting",
        "tableddocument": "tabled_document",
    }
    # get the domain class
    kls = get_domain_kls(name)
    
    # We "mark" the domain class with IWorkflowed, to be able to 
    # register/lookup adapters generically on this single interface.
    classImplements(kls, IWorkflowed)
    
    # dynamic features from workflow
    wf = get_workflow(name)
    # note: versionable implies auditable
    if wf.auditable or wf.versionable:
        # decorate the kls
        if wf.versionable:
            kls = domain.versionable(kls)
        elif wf.auditable:
            kls = domain.auditable(kls)
        # modify schema/mapping as needed
        schema.configurable_schema(kls)
        orm.configurable_mappings(kls)
        # create/set module-level dedicated auditor singleton for auditable kls
        bungeni.core.audit.set_auditor(kls)
Пример #6
0
def load_workflow(name, iface, path_custom_workflows=capi.get_path_for("workflows")):
    """Setup the Workflow instance, from XML definition, for named workflow.
    """
    #
    # load / register as utility / retrieve
    #
    # if not component.queryUtility(IWorkflow, name): !+BREAKS_DOCTESTS
    if not _WORKFLOWS.has_key(name):
        wf = xmlimport.load(path_custom_workflows, name)
        log.debug("Loading WORKFLOW: %s %s" % (name, wf))

        # debug info
        for state_key, state in wf.states.items():
            log.debug("   STATE: %s %s" % (state_key, state))
            for p in state.permissions:
                log.debug("          %s" % (p,))
    else:
        wf = get_workflow(name)
        log.debug("Already Loaded WORKFLOW : %s %s" % (name, wf))
    # We "mark" the supplied iface with IWorkflowed, as a means to mark type
    # the iface is applied (that, at this point, may not be unambiguously
    # determined). This has the advantage of then being able to
    # register/lookup adapters on only this single interface.
    #
    # Normally this is done by applying the iface to the target type, but
    # at this point may may not be unambiguously determined--so, we instead
    # "mark" the interface itself... by simply adding IWorkflowed as an
    # inheritance ancestor to iface (if it is not already):
    if IWorkflowed not in iface.__bases__:
        iface.__bases__ = (IWorkflowed,) + iface.__bases__

    # apply customizations, features as per configuration of the document type
    def camel(name):
        """Convert an underscore-separated word to CamelCase."""
        return "".join([s.capitalize() for s in name.split("_")])

    from bungeni.models import domain, schema, orm

    def get_domain_kls(workflow_name):
        """Infer a workflow's target domain kls from the workflow file name, 
        following underscore naming to camel case convention; names that do 
        not follow the convention are custom handled, as per mapping below.
        """
        # !+ should state it explicitly as a param?
        # !+ problem with multiple types sharing same workflow e.g.
        #    UserAddress, GroupAddress
        kls_name = camel(get_domain_kls.non_conventional.get(workflow_name, workflow_name))
        return getattr(domain, kls_name)

    # !+RENAME_TO_CONVENTION
    get_domain_kls.non_conventional = {
        "address": "user_address",  # "group_address"?
        "agendaitem": "agenda_item",
        "attachedfile": "attached_file",
        "event": "event_item",
        "groupsitting": "group_sitting",
        "tableddocument": "tabled_document",
    }
    if wf.auditable or wf.versionable:
        kls = get_domain_kls(name)
        if wf.versionable:
            kls = domain.versionable(kls)
        elif wf.auditable:
            kls = domain.auditable(kls)
        schema.configurable_schema(kls)
        orm.configurable_mappings(kls)
        bungeni.core.audit.set_auditor(kls)
        kn = kls.__name__

    # register related adapters

    # Workflow instances as utilities
    provideUtilityWorkflow(wf, name)

    # Workflows are also the factory of own AdaptedWorkflows
    provideAdapterWorkflow(wf, iface)
Пример #7
0
def load_workflow(name, iface, 
        path_custom_workflows=capi.get_path_for("workflows")
    ):
    """Setup the Workflow instance, from XML definition, for named workflow.
    """
    #
    # load / register as utility / retrieve
    #
    #if not component.queryUtility(IWorkflow, name): !+BREAKS_DOCTESTS
    if not _WORKFLOWS.has_key(name):
        wf = xmlimport.load(path_custom_workflows, name)
        log.debug("Loading WORKFLOW: %s %s" % (name, wf))
        
        # debug info
        for state_key, state in wf.states.items():
            log.debug("   STATE: %s %s" % (state_key, state))
            for p in state.permissions:
                log.debug("          %s" % (p,))
    else:
        wf = get_workflow(name)
        log.debug("Already Loaded WORKFLOW : %s %s" % (name, wf))
    # We "mark" the supplied iface with IWorkflowed, as a means to mark type 
    # the iface is applied (that, at this point, may not be unambiguously 
    # determined). This has the advantage of then being able to 
    # register/lookup adapters on only this single interface.
    # 
    # Normally this is done by applying the iface to the target type, but
    # at this point may may not be unambiguously determined--so, we instead 
    # "mark" the interface itself... by simply adding IWorkflowed as an 
    # inheritance ancestor to iface (if it is not already):
    if (IWorkflowed not in iface.__bases__):
        iface.__bases__ = (IWorkflowed,) + iface.__bases__
    
    # apply customizations, features as per configuration of the document type 
    def camel(name):
        """Convert an underscore-separated word to CamelCase."""
        return "".join([ s.capitalize() for s in name.split("_") ])
    from bungeni.models import domain, schema, orm
    def get_domain_kls(workflow_name):
        """Infer a workflow's target domain kls from the workflow file name, 
        following underscore naming to camel case convention; names that do 
        not follow the convention are custom handled, as per mapping below.
        """
        # !+ should state it explicitly as a param?
        # !+ problem with multiple types sharing same workflow e.g. 
        #    UserAddress, GroupAddress
        kls_name = camel(
            get_domain_kls.non_conventional.get(workflow_name, workflow_name))
        return getattr(domain, kls_name)
    get_domain_kls.non_conventional = {
        "address": "user_address", # "group_address"?
        "agendaitem": "agenda_item",
        "attachedfile": "attached_file",
        "event": "event_item",
        "groupsitting": "group_sitting",
        "tableddocument": "tabled_document",
    }
    if wf.auditable or wf.versionable:
        kls = get_domain_kls(name)
        if wf.versionable:
            kls = domain.versionable(kls)
        elif wf.auditable:
            kls = domain.auditable(kls)
        schema.configurable_schema(kls)
        orm.configurable_mappings(kls)
        bungeni.core.audit.set_auditor(kls)
        kn = kls.__name__
    
    # register related adapters
    
    # Workflow instances as utilities
    provideUtilityWorkflow(wf, name)
    
    # Workflows are also the factory of own AdaptedWorkflows
    provideAdapterWorkflow(wf, iface)
    # !+VERSION_WORKFLOW(mr, apr-2011)
    if name == "version":
        component.provideAdapter(bungeni.core.version.ContextVersioned,
            (interfaces.IVersionable,),
            bungeni.core.interfaces.IVersioned)