mirror of
https://github.com/sartography/cr-connect-workflow.git
synced 2025-02-23 05:08:32 +00:00
3b57adb84c
* TaskEvents now contain the data for each event as it was when the task was completed. * When loading a task for the front end, if the task was completed previously, we take that data, and overwrite it with the lastest data, allowing users to see previously entered values. * Pulling in the Admin branch, as there are changes in that branch that are critical to seeing what is happening when we do this thing. * Moved code for converting a workflow to an API ready data stricture into the Workflow service where it belongs, and out of the API. * Hard resets just convert to using the latest spec, they don't try to keep the data from the last task. There is a better way. * Moving to a previous task does not attept to keep the data from the last completed task. * Added a function that will fix all the existing RRT data by adding critical data into the TaskEvent model. This can be called with from the flask command line tool.
408 lines
19 KiB
Python
408 lines
19 KiB
Python
import re
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import xml.etree.ElementTree as ElementTree
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from datetime import datetime
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from typing import List
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from SpiffWorkflow import Task as SpiffTask, WorkflowException
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from SpiffWorkflow.bpmn.BpmnScriptEngine import BpmnScriptEngine
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from SpiffWorkflow.bpmn.parser.ValidationException import ValidationException
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from SpiffWorkflow.bpmn.serializer.BpmnSerializer import BpmnSerializer
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from SpiffWorkflow.bpmn.specs.EndEvent import EndEvent
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from SpiffWorkflow.bpmn.workflow import BpmnWorkflow
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from SpiffWorkflow.camunda.parser.CamundaParser import CamundaParser
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from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser
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from SpiffWorkflow.exceptions import WorkflowTaskExecException
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from SpiffWorkflow.specs import WorkflowSpec
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from sqlalchemy import desc
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from crc import session
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from crc.api.common import ApiError
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from crc.models.file import FileDataModel, FileModel, FileType
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from crc.models.workflow import WorkflowStatus, WorkflowModel, WorkflowSpecDependencyFile
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from crc.scripts.script import Script
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from crc.services.file_service import FileService
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class CustomBpmnScriptEngine(BpmnScriptEngine):
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"""This is a custom script processor that can be easily injected into Spiff Workflow.
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Rather than execute arbitrary code, this assumes the script references a fully qualified python class
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such as myapp.RandomFact. """
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def execute(self, task: SpiffTask, script, **kwargs):
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"""
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Assume that the script read in from the BPMN file is a fully qualified python class. Instantiate
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that class, pass in any data available to the current task so that it might act on it.
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Assume that the class implements the "do_task" method.
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This allows us to reference custom code from the BPMN diagram.
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"""
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commands = script.split(" ")
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path_and_command = commands[0].rsplit(".", 1)
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if len(path_and_command) == 1:
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module_name = "crc.scripts." + self.camel_to_snake(path_and_command[0])
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class_name = path_and_command[0]
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else:
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module_name = "crc.scripts." + path_and_command[0] + "." + self.camel_to_snake(path_and_command[1])
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class_name = path_and_command[1]
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try:
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mod = __import__(module_name, fromlist=[class_name])
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klass = getattr(mod, class_name)
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study_id = task.workflow.data[WorkflowProcessor.STUDY_ID_KEY]
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if WorkflowProcessor.WORKFLOW_ID_KEY in task.workflow.data:
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workflow_id = task.workflow.data[WorkflowProcessor.WORKFLOW_ID_KEY]
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else:
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workflow_id = None
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if not isinstance(klass(), Script):
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raise ApiError.from_task("invalid_script",
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"This is an internal error. The script '%s:%s' you called " %
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(module_name, class_name) +
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"does not properly implement the CRC Script class.",
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task=task)
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if task.workflow.data[WorkflowProcessor.VALIDATION_PROCESS_KEY]:
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"""If this is running a validation, and not a normal process, then we want to
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mimic running the script, but not make any external calls or database changes."""
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klass().do_task_validate_only(task, study_id, workflow_id, *commands[1:])
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else:
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klass().do_task(task, study_id, workflow_id, *commands[1:])
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except ModuleNotFoundError:
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raise ApiError.from_task("invalid_script",
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"Unable to locate Script: '%s:%s'" % (module_name, class_name),
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task=task)
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def evaluate_expression(self, task, expression):
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"""
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Evaluate the given expression, within the context of the given task and
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return the result.
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"""
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exp, valid = self.validateExpression(expression)
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return self._eval(exp, **task.data)
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@staticmethod
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def camel_to_snake(camel):
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camel = camel.strip()
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return re.sub(r'(?<!^)(?=[A-Z])', '_', camel).lower()
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class MyCustomParser(BpmnDmnParser):
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"""
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A BPMN and DMN parser that can also parse Camunda forms.
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"""
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OVERRIDE_PARSER_CLASSES = BpmnDmnParser.OVERRIDE_PARSER_CLASSES
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OVERRIDE_PARSER_CLASSES.update(CamundaParser.OVERRIDE_PARSER_CLASSES)
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class WorkflowProcessor(object):
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_script_engine = CustomBpmnScriptEngine()
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_serializer = BpmnSerializer()
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WORKFLOW_ID_KEY = "workflow_id"
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STUDY_ID_KEY = "study_id"
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VALIDATION_PROCESS_KEY = "validate_only"
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def __init__(self, workflow_model: WorkflowModel, soft_reset=False, hard_reset=False, validate_only=False):
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"""Create a Workflow Processor based on the serialized information available in the workflow model.
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If soft_reset is set to true, it will try to use the latest version of the workflow specification
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without resetting to the beginning of the workflow. This will work for some minor changes to the spec.
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If hard_reset is set to true, it will use the latest spec, and start the workflow over from the beginning.
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which should work in casees where a soft reset fails.
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If neither flag is set, it will use the same version of the specification that was used to originally
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create the workflow model. """
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self.workflow_model = workflow_model
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if soft_reset or len(workflow_model.dependencies) == 0: # Depenencies of 0 means the workflow was never started.
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self.spec_data_files = FileService.get_spec_data_files(
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workflow_spec_id=workflow_model.workflow_spec_id)
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else:
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self.spec_data_files = FileService.get_spec_data_files(
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workflow_spec_id=workflow_model.workflow_spec_id,
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workflow_id=workflow_model.id)
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spec = self.get_spec(self.spec_data_files, workflow_model.workflow_spec_id)
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self.workflow_spec_id = workflow_model.workflow_spec_id
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try:
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self.bpmn_workflow = self.__get_bpmn_workflow(workflow_model, spec, validate_only)
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self.bpmn_workflow.script_engine = self._script_engine
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if self.WORKFLOW_ID_KEY not in self.bpmn_workflow.data:
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if not workflow_model.id:
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session.add(workflow_model)
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session.commit()
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# If the model is new, and has no id, save it, write it into the workflow model
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# and save it again. In this way, the workflow process is always aware of the
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# database model to which it is associated, and scripts running within the model
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# can then load data as needed.
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self.bpmn_workflow.data[WorkflowProcessor.WORKFLOW_ID_KEY] = workflow_model.id
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workflow_model.bpmn_workflow_json = WorkflowProcessor._serializer.serialize_workflow(self.bpmn_workflow)
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self.save()
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except KeyError as ke:
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raise ApiError(code="unexpected_workflow_structure",
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message="Failed to deserialize workflow"
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" '%s' version %s, due to a mis-placed or missing task '%s'" %
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(self.workflow_spec_id, self.get_version_string(), str(ke)) +
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" This is very likely due to a soft reset where there was a structural change.")
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if hard_reset:
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# Now that the spec is loaded, get the data and rebuild the bpmn with the new details
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self.hard_reset()
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workflow_model.bpmn_workflow_json = WorkflowProcessor._serializer.serialize_workflow(self.bpmn_workflow)
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self.save()
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if soft_reset:
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self.save()
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# set whether this is the latest spec file.
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if self.spec_data_files == FileService.get_spec_data_files(workflow_spec_id=workflow_model.workflow_spec_id):
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self.is_latest_spec = True
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else:
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self.is_latest_spec = False
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def __get_bpmn_workflow(self, workflow_model: WorkflowModel, spec: WorkflowSpec, validate_only=False):
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if workflow_model.bpmn_workflow_json:
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bpmn_workflow = self._serializer.deserialize_workflow(workflow_model.bpmn_workflow_json, workflow_spec=spec)
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else:
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bpmn_workflow = BpmnWorkflow(spec, script_engine=self._script_engine)
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bpmn_workflow.data[WorkflowProcessor.STUDY_ID_KEY] = workflow_model.study_id
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bpmn_workflow.data[WorkflowProcessor.VALIDATION_PROCESS_KEY] = validate_only
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bpmn_workflow.do_engine_steps()
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return bpmn_workflow
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def save(self):
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"""Saves the current state of this processor to the database """
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self.workflow_model.bpmn_workflow_json = self.serialize()
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complete_states = [SpiffTask.CANCELLED, SpiffTask.COMPLETED]
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tasks = list(self.get_all_user_tasks())
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self.workflow_model.status = self.get_status()
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self.workflow_model.total_tasks = len(tasks)
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self.workflow_model.completed_tasks = sum(1 for t in tasks if t.state in complete_states)
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self.workflow_model.last_updated = datetime.now()
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self.update_dependencies(self.spec_data_files)
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session.add(self.workflow_model)
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session.commit()
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def get_version_string(self):
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# this could potentially become expensive to load all the data in the data models.
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# in which case we might consider using a deferred loader for the actual data, but
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# trying not to pre-optimize.
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file_data_models = FileService.get_spec_data_files(self.workflow_model.workflow_spec_id,
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self.workflow_model.id)
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return WorkflowProcessor.__get_version_string_for_data_models(file_data_models)
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@staticmethod
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def get_latest_version_string_for_spec(spec_id):
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file_data_models = FileService.get_spec_data_files(spec_id)
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return WorkflowProcessor.__get_version_string_for_data_models(file_data_models)
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@staticmethod
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def __get_version_string_for_data_models(file_data_models):
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"""Version is in the format v[VERSION] (FILE_ID_LIST)
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For example, a single bpmn file with only one version would be
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v1 (12) Where 12 is the id of the file data model that is used to create the
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specification. If multiple files exist, they are added on in
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dot notation to both the version number and the file list. So
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a Spec that includes a BPMN, DMN, an a Word file all on the first
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version would be v1.1.1 (12.45.21)"""
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major_version = 0 # The version of the primary file.
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minor_version = [] # The versions of the minor files if any.
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file_ids = []
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for file_data in file_data_models:
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file_ids.append(file_data.id)
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if file_data.file_model.primary:
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major_version = file_data.version
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else:
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minor_version.append(file_data.version)
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minor_version.insert(0, major_version) # Add major version to beginning.
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version = ".".join(str(x) for x in minor_version)
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files = ".".join(str(x) for x in file_ids)
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full_version = "v%s (%s)" % (version, files)
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return full_version
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def update_dependencies(self, spec_data_files):
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existing_dependencies = FileService.get_spec_data_files(
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workflow_spec_id=self.workflow_model.workflow_spec_id,
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workflow_id=self.workflow_model.id)
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# Don't save the dependencies if they haven't changed.
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if existing_dependencies == spec_data_files:
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return
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# Remove all existing dependencies, and replace them.
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self.workflow_model.dependencies = []
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for file_data in spec_data_files:
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self.workflow_model.dependencies.append(WorkflowSpecDependencyFile(file_data_id=file_data.id))
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@staticmethod
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def run_master_spec(spec_model, study):
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"""Executes a BPMN specification for the given study, without recording any information to the database
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Useful for running the master specification, which should not persist. """
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spec_data_files = FileService.get_spec_data_files(spec_model.id)
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spec = WorkflowProcessor.get_spec(spec_data_files, spec_model.id)
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try:
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bpmn_workflow = BpmnWorkflow(spec, script_engine=WorkflowProcessor._script_engine)
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bpmn_workflow.data[WorkflowProcessor.STUDY_ID_KEY] = study.id
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bpmn_workflow.data[WorkflowProcessor.VALIDATION_PROCESS_KEY] = False
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bpmn_workflow.do_engine_steps()
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except WorkflowException as we:
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raise ApiError.from_task_spec("error_running_master_spec", str(we), we.sender)
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if not bpmn_workflow.is_completed():
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raise ApiError("master_spec_not_automatic",
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"The master spec should only contain fully automated tasks, it failed to complete.")
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return bpmn_workflow.last_task.data
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@staticmethod
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def get_parser():
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parser = MyCustomParser()
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return parser
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@staticmethod
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def get_spec(file_data_models: List[FileDataModel], workflow_spec_id):
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"""Returns a SpiffWorkflow specification for the given workflow spec,
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using the files provided. The Workflow_spec_id is only used to generate
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better error messages."""
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parser = WorkflowProcessor.get_parser()
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process_id = None
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for file_data in file_data_models:
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if file_data.file_model.type == FileType.bpmn:
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bpmn: ElementTree.Element = ElementTree.fromstring(file_data.data)
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if file_data.file_model.primary:
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process_id = FileService.get_process_id(bpmn)
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parser.add_bpmn_xml(bpmn, filename=file_data.file_model.name)
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elif file_data.file_model.type == FileType.dmn:
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dmn: ElementTree.Element = ElementTree.fromstring(file_data.data)
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parser.add_dmn_xml(dmn, filename=file_data.file_model.name)
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if process_id is None:
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raise (ApiError(code="no_primary_bpmn_error",
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message="There is no primary BPMN model defined for workflow %s" % workflow_spec_id))
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try:
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spec = parser.get_spec(process_id)
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except ValidationException as ve:
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raise ApiError(code="workflow_validation_error",
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message="Failed to parse Workflow Specification '%s'" % workflow_spec_id +
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"Error is %s" % str(ve),
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file_name=ve.filename,
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task_id=ve.id,
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tag=ve.tag)
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return spec
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@staticmethod
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def status_of(bpmn_workflow):
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if bpmn_workflow.is_completed():
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return WorkflowStatus.complete
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user_tasks = bpmn_workflow.get_ready_user_tasks()
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if len(user_tasks) > 0:
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return WorkflowStatus.user_input_required
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else:
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return WorkflowStatus.waiting
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def hard_reset(self):
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"""Recreate this workflow. This will be useful when a workflow specification changes.
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"""
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self.spec_data_files = FileService.get_spec_data_files(workflow_spec_id=self.workflow_spec_id)
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new_spec = WorkflowProcessor.get_spec(self.spec_data_files, self.workflow_spec_id)
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new_bpmn_workflow = BpmnWorkflow(new_spec, script_engine=self._script_engine)
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new_bpmn_workflow.data = self.bpmn_workflow.data
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new_bpmn_workflow.do_engine_steps()
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self.bpmn_workflow = new_bpmn_workflow
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def get_status(self):
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return self.status_of(self.bpmn_workflow)
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def do_engine_steps(self):
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try:
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self.bpmn_workflow.do_engine_steps()
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except WorkflowTaskExecException as we:
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raise ApiError.from_task("task_error", str(we), we.task)
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def serialize(self):
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return self._serializer.serialize_workflow(self.bpmn_workflow)
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def next_user_tasks(self):
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return self.bpmn_workflow.get_ready_user_tasks()
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def next_task(self):
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"""Returns the next task that should be completed
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even if there are parallel tasks and multiple options are
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available.
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If the workflow is complete
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it will return the final end task.
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"""
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# If the whole blessed mess is done, return the end_event task in the tree
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if self.bpmn_workflow.is_completed():
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for task in SpiffTask.Iterator(self.bpmn_workflow.task_tree, SpiffTask.ANY_MASK):
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if isinstance(task.task_spec, EndEvent):
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return task
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# If there are ready tasks to complete, return the next ready task, but return the one
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# in the active parallel path if possible.
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ready_tasks = self.bpmn_workflow.get_tasks(SpiffTask.READY)
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if len(ready_tasks) > 0:
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for task in ready_tasks:
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if task.parent == self.bpmn_workflow.last_task:
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return task
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return ready_tasks[0]
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# If there are no ready tasks, but the thing isn't complete yet, find the first non-complete task
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# and return that
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next_task = None
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for task in SpiffTask.Iterator(self.bpmn_workflow.task_tree, SpiffTask.NOT_FINISHED_MASK):
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next_task = task
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return next_task
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def previous_task(self):
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return None
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def complete_task(self, task):
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self.bpmn_workflow.complete_task_from_id(task.id)
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def get_data(self):
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return self.bpmn_workflow.data
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def get_workflow_id(self):
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return self.workflow_model.id
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def get_study_id(self):
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return self.bpmn_workflow.data[self.STUDY_ID_KEY]
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def get_ready_user_tasks(self):
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return self.bpmn_workflow.get_ready_user_tasks()
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def get_current_user_tasks(self):
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"""Return a list of all user tasks that are READY or
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COMPLETE and are parallel to the READY Task."""
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ready_tasks = self.bpmn_workflow.get_ready_user_tasks()
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additional_tasks = []
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if len(ready_tasks) > 0:
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for child in ready_tasks[0].parent.children:
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if child.state == SpiffTask.COMPLETED:
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additional_tasks.append(child)
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return ready_tasks + additional_tasks
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def get_all_user_tasks(self):
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all_tasks = self.bpmn_workflow.get_tasks(SpiffTask.ANY_MASK)
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return [t for t in all_tasks if not self.bpmn_workflow._is_engine_task(t.task_spec)]
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def get_all_completed_tasks(self):
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all_tasks = self.bpmn_workflow.get_tasks(SpiffTask.ANY_MASK)
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return [t for t in all_tasks
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if not self.bpmn_workflow._is_engine_task(t.task_spec) and t.state in [t.COMPLETED, t.CANCELLED]]
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def get_nav_item(self, task):
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for nav_item in self.bpmn_workflow.get_nav_list():
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if nav_item['task_id'] == task.id:
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return nav_item
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def find_task_and_field_by_field_id(self, field_id):
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"""Tracks down a form field by name in the workflow spec,
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only looks at ready tasks. Returns a tuple of the task, and form"""
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for spiff_task in self.bpmn_workflow.get_tasks():
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if hasattr(spiff_task.task_spec, "form"):
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for field in spiff_task.task_spec.form.fields:
|
|
if field.id == field_id:
|
|
return spiff_task, field
|
|
raise ApiError("invalid_field",
|
|
"Unable to find a task in the workflow with a lookup field called: %s" % field_id)
|