cr-connect-workflow/crc/services/workflow_processor.py

import xml.etree.ElementTree as ElementTree

from SpiffWorkflow import Task as SpiffTask, Workflow
from SpiffWorkflow.bpmn.BpmnScriptEngine import BpmnScriptEngine
from SpiffWorkflow.bpmn.serializer.BpmnSerializer import BpmnSerializer
from SpiffWorkflow.bpmn.specs.EndEvent import EndEvent
from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
from SpiffWorkflow.camunda.parser.CamundaParser import CamundaParser
from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser
from SpiffWorkflow.operators import Operator

from crc import session
from crc.api.common import ApiError
from crc.models.file import FileDataModel, FileModel, FileType
from crc.models.workflow import WorkflowStatus, WorkflowModel


class CustomBpmnScriptEngine(BpmnScriptEngine):
    """This is a custom script processor that can be easily injected into Spiff Workflow.
    Rather than execute arbitrary code, this assumes the script references a fully qualified python class
    such as myapp.RandomFact. """

    def execute(self, task, script, **kwargs):
        """
        Assume that the script read in from the BPMN file is a fully qualified python class. Instantiate
        that class, pass in any data available to the current task so that it might act on it.
        Assume that the class implements the "do_task" method.

        This allows us to reference custom code from the BPMN diagram.
        """
        commands = script.split(" ")
        module_name = "crc." + commands[0]
        class_name = module_name.split(".")[-1]
        mod = __import__(module_name, fromlist=[class_name])
        klass = getattr(mod, class_name)
        klass().do_task(task, *commands[1:])

    def evaluate(self, task, expression):
        """
        Evaluate the given expression, within the context of the given task and
        return the result.
        """
        if isinstance(expression, Operator):
            return expression._matches(task)
        else:
            return self._eval(task, expression, **task.data)

    def _eval(self, task, expression, **kwargs):
        locals().update(kwargs)
        try :
            return eval(expression)
        except NameError as ne:
            raise ApiError('invalid_expression',
                           'The expression you provided does not exist:' + expression)



class MyCustomParser(BpmnDmnParser):
    """
    A BPMN and DMN parser that can also parse Camunda forms.
    """
    OVERRIDE_PARSER_CLASSES = BpmnDmnParser.OVERRIDE_PARSER_CLASSES
    OVERRIDE_PARSER_CLASSES.update(CamundaParser.OVERRIDE_PARSER_CLASSES)

class WorkflowProcessor(object):
    _script_engine = CustomBpmnScriptEngine()
    _serializer = BpmnSerializer()
    WORKFLOW_ID_KEY = "workflow_id"
    STUDY_ID_KEY = "session_id"

    def __init__(self, workflow_spec_id, bpmn_json):
        wf_spec = self.get_spec(workflow_spec_id)
        self.workflow_spec_id = workflow_spec_id
        self.bpmn_workflow = self._serializer.deserialize_workflow(bpmn_json, workflow_spec=wf_spec)
        self.bpmn_workflow.script_engine = self._script_engine

    @staticmethod
    def get_parser():
        parser = MyCustomParser()
        return parser

    @staticmethod
    def get_spec(workflow_spec_id):
        parser = WorkflowProcessor.get_parser()
        process_id = None
        file_data_models = session.query(FileDataModel) \
            .join(FileModel) \
            .filter(FileModel.workflow_spec_id == workflow_spec_id).all()
        for file_data in file_data_models:
            if file_data.file_model.type == FileType.bpmn:
                bpmn: ElementTree.Element = ElementTree.fromstring(file_data.data)
                if file_data.file_model.primary:
                    process_id = WorkflowProcessor.get_process_id(bpmn)
                parser.add_bpmn_xml(bpmn, filename=file_data.file_model.name)
            elif file_data.file_model.type == FileType.dmn:
                dmn: ElementTree.Element = ElementTree.fromstring(file_data.data)
                parser.add_dmn_xml(dmn, filename=file_data.file_model.name)
        if process_id is None:
            raise(Exception("There is no primary BPMN model defined for workflow %s" % workflow_spec_id))
        return parser.get_spec(process_id)


    @classmethod
    def create(cls,  study_id, workflow_spec_id):
        spec = WorkflowProcessor.get_spec(workflow_spec_id)
        bpmn_workflow = BpmnWorkflow(spec, script_engine=cls._script_engine)
        bpmn_workflow.do_engine_steps()
        json = cls._serializer.serialize_workflow(bpmn_workflow)
        processor = cls(workflow_spec_id, json)
        workflow_model = WorkflowModel(status=processor.get_status(),
                                       study_id=study_id,
                                       workflow_spec_id=workflow_spec_id)
        session.add(workflow_model)
        session.commit()
        # Need to commit twice, first to get a unique id for the workflow model, and
        # a second time to store the serilaization so we can maintain this link within
        # the spiff-workflow process.
        processor.bpmn_workflow.data[WorkflowProcessor.WORKFLOW_ID_KEY] = workflow_model.id
        processor.bpmn_workflow.data[WorkflowProcessor.STUDY_ID_KEY] = study_id
        workflow_model.bpmn_workflow_json = processor.serialize()
        session.add(workflow_model)
        session.commit()
        return processor

    def get_status(self):
        if self.bpmn_workflow.is_completed():
            return WorkflowStatus.complete
        user_tasks = self.bpmn_workflow.get_ready_user_tasks()
        if len(user_tasks) > 0:
            return WorkflowStatus.user_input_required
        else:
            return WorkflowStatus.waiting

    def do_engine_steps(self):
        self.bpmn_workflow.do_engine_steps()

    def serialize(self):
        return self._serializer.serialize_workflow(self.bpmn_workflow)

    def next_user_tasks(self):
        return self.bpmn_workflow.get_ready_user_tasks()

    def next_task(self):
        """Returns the next task that should be completed
        even if there are parallel tasks and multiple options are
        available.
        If the workflow is complete
        it will return the final end task.
        """

        # If the whole blessed mess is done, return the end_event task in the tree
        if self.bpmn_workflow.is_completed():
            last_task = None
            for task in SpiffTask.Iterator(self.bpmn_workflow.task_tree, SpiffTask.ANY_MASK):
                if isinstance(task.task_spec, EndEvent):
                    return task

        # If there are ready tasks to complete, return the next ready task, but return the one
        # in the active parallel path if possible.
        ready_tasks = self.bpmn_workflow.get_tasks(SpiffTask.READY)
        if len(ready_tasks) > 0:
            for task in ready_tasks:
                if task.parent == self.bpmn_workflow.last_task:
                    return task
            return ready_tasks[0]

        # If there are no ready tasks, but the thing isn't complete yet, find the first non-complete task
        # and return that
        next_task = None
        for task in SpiffTask.Iterator(self.bpmn_workflow.task_tree, SpiffTask.NOT_FINISHED_MASK):
            next_task = task
        return next_task




    def complete_task(self, task):
        self.bpmn_workflow.complete_task_from_id(task.id)

    def get_data(self):
        return self.bpmn_workflow.data

    def get_workflow_id(self):
        return self.bpmn_workflow.data[self.WORKFLOW_ID_KEY]

    def get_study_id(self):
        return self.bpmn_workflow.data[self.STUDY_ID_KEY]

    def get_ready_user_tasks(self):
        return self.bpmn_workflow.get_ready_user_tasks()

    def get_all_user_tasks(self):
        all_tasks = self.bpmn_workflow.get_tasks(SpiffTask.ANY_MASK)
        return [t for t in all_tasks if not self.bpmn_workflow._is_engine_task(t.task_spec)]

    @staticmethod
    def get_process_id(et_root: ElementTree.Element):
        process_elements = []
        for child in et_root:
            if child.tag.endswith('process') and child.attrib.get('isExecutable', False):
                process_elements.append(child)

        if len(process_elements) == 0:
            raise Exception('No executable process tag found')

        # There are multiple root elements
        if len(process_elements) > 1:

            # Look for the element that has the startEvent in it
            for e in process_elements:
                this_element: ElementTree.Element = e
                for child_element in list(this_element):
                    if child_element.tag.endswith('startEvent'):
                        return this_element.attrib['id']

            raise Exception('No start event found in %s' % et_root.attrib['id'])

        return process_elements[0].attrib['id']