Hotfix/user task with timer cancel (#533)

* cherry picked changes from b12af9f3bc to pin form json files

* use the class name to determine what a task type is w/ burnettk

* initial thoughts to fix cancel timer issue w/ burnettk

* added migration to run predict on all open instances w/ burnettk

* remove debug, refactor data migrations, add benchmark_log_func

* log progress of script

* only process predicted tasks and their parents in the version 2 data miagration w/ burnettk

* added data migrator and using that to run version 2 migrations when needed w/ burnettk

* removed some unwanted code

* fix issue, but tests still need updating

* fix tests by returning code to closer to what it was

---------

Co-authored-by: jasquat <jasquat@users.noreply.github.com>
Co-authored-by: burnettk <burnettk@users.noreply.github.com>

spiffworkflow-backend/bin/boot_server_in_docker

@@ -93,7 +93,7 @@ fi
 
 # DELETE after this runs on all necessary environments
 # TODO: make a system somewhat like schema migrations (storing versions in a db table) to handle data migrations
-poetry run python ./bin/data_migrations/version_1_3.py
+poetry run python ./bin/data_migrations/run_all.py
 
 # --worker-class is not strictly necessary, since setting threads will automatically set the worker class to gthread, but meh
 export IS_GUNICORN="true"

spiffworkflow-backend/bin/data_migrations/run_all.py

@@ -0,0 +1,85 @@
+import time
+
+from flask import current_app
+from spiffworkflow_backend import create_app
+from spiffworkflow_backend.data_migrations.version_1_3 import VersionOneThree
+from spiffworkflow_backend.data_migrations.version_2 import Version2
+from spiffworkflow_backend.models.db import db
+from spiffworkflow_backend.models.process_instance import ProcessInstanceModel
+from sqlalchemy import update
+
+
+# simple decorator to time the func
+# https://stackoverflow.com/a/11151365/6090676, thank you
+def benchmark_log_func(func):
+    """
+    decorator to calculate the total time of a func
+    """
+
+    def st_func(*args, **kwargs):
+        t1 = time.time()
+        r = func(*args, **kwargs)
+        t2 = time.time()
+        # __qualname__, i know you use it every day. but if not, it's the function name prefixed with any qualifying class names
+        current_app.logger.debug(f"Function={func.__qualname__}, Time={t2 - t1}")
+        return r
+
+    return st_func
+
+
+@benchmark_log_func
+def put_serializer_version_onto_numeric_track() -> None:
+    old_busted_serializer_version = "1.0-spiffworkflow-backend"
+    update_query = (
+        update(ProcessInstanceModel)
+        .where(ProcessInstanceModel.spiff_serializer_version == old_busted_serializer_version)
+        .values(spiff_serializer_version="1")
+    )
+    db.session.execute(update_query)
+    db.session.commit()
+
+
+def all_potentially_relevant_process_instances() -> list[ProcessInstanceModel]:
+    return ProcessInstanceModel.query.filter(
+        ProcessInstanceModel.spiff_serializer_version < Version2.VERSION,
+        ProcessInstanceModel.status.in_(ProcessInstanceModel.non_terminal_statuses()),
+    ).all()
+
+
+@benchmark_log_func
+def run_version_1() -> None:
+    VersionOneThree().run()  # make this a class method
+
+
+@benchmark_log_func
+def run_version_2(process_instances: list[ProcessInstanceModel]) -> None:
+    Version2.run(process_instances)
+
+
+def main() -> None:
+    start_time = time.time()
+    app = create_app()
+    end_time = time.time()
+
+    with app.app_context():
+        current_app.logger.debug(f"data_migrations/run_all::create_app took {end_time - start_time} seconds")
+        start_time = time.time()
+        put_serializer_version_onto_numeric_track()
+        process_instances = all_potentially_relevant_process_instances()
+        potentially_relevant_instance_count = len(process_instances)
+        current_app.logger.debug(
+            f"Found potentially relevant process_instances: {potentially_relevant_instance_count}"
+        )
+        if potentially_relevant_instance_count > 0:
+            run_version_1()
+            # this will run while using the new per instance on demand data migration framework
+            # run_version_2(process_instances)
+
+        end_time = time.time()
+        current_app.logger.debug(
+            f"done running data migrations in ./bin/data_migrations/run_all.py. took {end_time - start_time} seconds"
+        )
+
+
+if __name__ == "__main__":
+    main()

spiffworkflow-backend/bin/run_data_migrations_locally

@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+function error_handler() {
+  >&2 echo "Exited with BAD EXIT CODE '${2}' in ${0} script at line: ${1}."
+  exit "$2"
+}
+trap 'error_handler ${LINENO} $?' ERR
+set -o errtrace -o errexit -o nounset -o pipefail
+
+script_dir="$( cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P )"
+. "${script_dir}/local_development_environment_setup"
+SPIFFWORKFLOW_BACKEND_RUN_BACKGROUND_SCHEDULER_IN_CREATE_APP=false
+poetry run python ./bin/data_migrations/run_all.py

spiffworkflow-backend/src/spiffworkflow_backend/data_migrations/process_instance_migrator.py

@@ -0,0 +1,53 @@
+import time
+from typing import Any
+
+from flask import current_app
+from spiffworkflow_backend.data_migrations.version_2 import Version2
+from spiffworkflow_backend.models.db import db
+from spiffworkflow_backend.models.process_instance import ProcessInstanceModel
+
+
+# simple decorator to time the func
+# https://stackoverflow.com/a/11151365/6090676, thank you
+def benchmark_log_func(func: Any) -> Any:
+    """
+    decorator to calculate the total time of a func
+    """
+
+    def st_func(*args: list, **kwargs: dict) -> Any:
+        t1 = time.time()
+        r = func(*args, **kwargs)
+        t2 = time.time()
+        # __qualname__, i know you use it every day. but if not, it's the function name prefixed with any qualifying class names
+        current_app.logger.debug(f"Function={func.__qualname__}, Time={t2 - t1}")
+        return r
+
+    return st_func
+
+
+class ProcessInstanceMigrator:
+    @classmethod
+    @benchmark_log_func
+    def run_version_2(cls, process_instance: ProcessInstanceModel) -> None:
+        if process_instance.spiff_serializer_version < Version2.VERSION:
+            Version2.run(process_instance)
+            process_instance.spiff_serializer_version = Version2.VERSION
+            db.session.add(process_instance)
+            db.session.commit()
+
+    @classmethod
+    def run(cls, process_instance: ProcessInstanceModel) -> None:
+        """This updates the serialization of an instance to the current expected state.
+
+        We do not run the migrator in cases where we do not expect to update the spiff internal state,
+        such as the process instance show page (where we do instantiate a processor).
+        Someday, we might need to run the migrator in more places, if using spiff to read depends on
+        an updated serialization.
+        """
+
+        # if the serializer version is None, then we are dealing with a new process instance,
+        # so we do not need to run the migrator
+        if process_instance.spiff_serializer_version is None:
+            return
+
+        cls.run_version_2(process_instance)

spiffworkflow-backend/src/spiffworkflow_backend/data_migrations/version_2.py

@@ -0,0 +1,39 @@
+import time
+
+from flask import current_app
+from SpiffWorkflow.task import Task as SpiffTask  # type: ignore
+from spiffworkflow_backend.models.process_instance import ProcessInstanceModel
+from spiffworkflow_backend.services.process_instance_processor import ProcessInstanceProcessor
+from spiffworkflow_backend.services.task_service import TaskService
+
+
+class Version2:
+    VERSION = "2"
+
+    @classmethod
+    def run(cls, process_instance: ProcessInstanceModel) -> None:
+        initial_time = time.time()
+        try:
+            processor = ProcessInstanceProcessor(process_instance)
+            processor.bpmn_process_instance._predict()
+
+            spiff_tasks = processor.bpmn_process_instance.get_tasks(updated_ts=initial_time)
+            task_service = TaskService(
+                process_instance, processor._serializer, processor.bpmn_definition_to_task_definitions_mappings
+            )
+
+            # implicit begin db transaction
+            for spiff_task in spiff_tasks:
+                cls.update_spiff_task_parents(spiff_task, task_service)
+
+            task_service.save_objects_to_database()
+        except Exception as ex:
+            current_app.logger.warning(
+                f"Failed to migrate process_instance '{process_instance.id}'. The error was {str(ex)}"
+            )
+
+    @classmethod
+    def update_spiff_task_parents(cls, spiff_task: SpiffTask, task_service: TaskService) -> None:
+        task_service.update_task_model_with_spiff_task(spiff_task)
+        if spiff_task.parent is not None:
+            cls.update_spiff_task_parents(spiff_task.parent, task_service)

spiffworkflow-backend/src/spiffworkflow_backend/routes/extensions_controller.py

@@ -147,6 +147,7 @@ def _run_extension(
 
     processor = None
     try:
+        # this is only creates new process instances so no need to worry about process instance migrations
         processor = ProcessInstanceProcessor(
             process_instance,
             script_engine=CustomBpmnScriptEngine(use_restricted_script_engine=False),

spiffworkflow-backend/src/spiffworkflow_backend/routes/process_instances_controller.py

@@ -12,6 +12,7 @@ from sqlalchemy import and_
 from sqlalchemy import or_
 from sqlalchemy.orm import aliased
 
+from spiffworkflow_backend.data_migrations.process_instance_migrator import ProcessInstanceMigrator
 from spiffworkflow_backend.exceptions.api_error import ApiError
 from spiffworkflow_backend.models.bpmn_process import BpmnProcessModel
 from spiffworkflow_backend.models.bpmn_process_definition import BpmnProcessDefinitionModel
@@ -158,10 +159,11 @@ def process_instance_terminate(
     modified_process_model_identifier: str,
 ) -> flask.wrappers.Response:
     process_instance = _find_process_instance_by_id_or_raise(process_instance_id)
-    processor = ProcessInstanceProcessor(process_instance)
 
     try:
         with ProcessInstanceQueueService.dequeued(process_instance):
+            ProcessInstanceMigrator.run(process_instance)
+            processor = ProcessInstanceProcessor(process_instance)
             processor.terminate()
     except (
         ProcessInstanceIsNotEnqueuedError,
@@ -660,9 +662,10 @@ def send_bpmn_event(
 
 
 def _send_bpmn_event(process_instance: ProcessInstanceModel, body: dict) -> Response:
-    processor = ProcessInstanceProcessor(process_instance)
     try:
         with ProcessInstanceQueueService.dequeued(process_instance):
+            ProcessInstanceMigrator.run(process_instance)
+            processor = ProcessInstanceProcessor(process_instance)
             processor.send_bpmn_event(body)
     except (
         ProcessInstanceIsNotEnqueuedError,

spiffworkflow-backend/src/spiffworkflow_backend/routes/tasks_controller.py

@@ -26,6 +26,7 @@ from sqlalchemy import func
 from sqlalchemy.orm import aliased
 from sqlalchemy.orm.util import AliasedClass
 
+from spiffworkflow_backend.data_migrations.process_instance_migrator import ProcessInstanceMigrator
 from spiffworkflow_backend.exceptions.api_error import ApiError
 from spiffworkflow_backend.exceptions.error import HumanTaskAlreadyCompletedError
 from spiffworkflow_backend.exceptions.error import HumanTaskNotFoundError
@@ -271,8 +272,10 @@ def manual_complete_task(
     execute = body.get("execute", True)
     process_instance = ProcessInstanceModel.query.filter(ProcessInstanceModel.id == process_instance_id).first()
     if process_instance:
-        processor = ProcessInstanceProcessor(process_instance)
-        processor.manual_complete_task(task_guid, execute, g.user)
+        with ProcessInstanceQueueService.dequeued(process_instance):
+            ProcessInstanceMigrator.run(process_instance)
+            processor = ProcessInstanceProcessor(process_instance)
+            processor.manual_complete_task(task_guid, execute, g.user)
     else:
         raise ApiError(
             error_code="complete_task",
@@ -629,6 +632,7 @@ def _dequeued_interstitial_stream(
             try:
                 if not ProcessInstanceQueueService.is_enqueued_to_run_in_the_future(process_instance):
                     with ProcessInstanceQueueService.dequeued(process_instance):
+                        ProcessInstanceMigrator.run(process_instance)
                         yield from _interstitial_stream(process_instance, execute_tasks=execute_tasks)
             except ProcessInstanceIsAlreadyLockedError:
                 yield from _interstitial_stream(process_instance, execute_tasks=False, is_locked=True)
@@ -771,6 +775,14 @@ def _task_submit_shared(
             status_code=400,
         )
 
+    # we're dequeing twice in this function.
+    # tried to wrap the whole block in one dequeue, but that has the confusing side-effect that every exception
+    # in the block causes the process instance to go into an error state. for example, when
+    # AuthorizationService.assert_user_can_complete_task raises. this would have been solvable, but this seems simpler,
+    # and the cost is not huge given that this function is not the most common code path in the world.
+    with ProcessInstanceQueueService.dequeued(process_instance):
+        ProcessInstanceMigrator.run(process_instance)
+
     processor = ProcessInstanceProcessor(
         process_instance, workflow_completed_handler=ProcessInstanceService.schedule_next_process_model_cycle
     )
@@ -993,10 +1005,8 @@ def _prepare_form_data(
 def _get_spiff_task_from_process_instance(
     task_guid: str,
     process_instance: ProcessInstanceModel,
-    processor: ProcessInstanceProcessor | None = None,
+    processor: ProcessInstanceProcessor,
 ) -> SpiffTask:
-    if processor is None:
-        processor = ProcessInstanceProcessor(process_instance)
     task_uuid = uuid.UUID(task_guid)
     spiff_task = processor.bpmn_process_instance.get_task_from_id(task_uuid)
 

spiffworkflow-backend/src/spiffworkflow_backend/services/process_instance_processor.py

@@ -387,7 +387,7 @@ IdToBpmnProcessSpecMapping = NewType("IdToBpmnProcessSpecMapping", dict[str, Bpm
 
 class ProcessInstanceProcessor:
     _default_script_engine = CustomBpmnScriptEngine()
-    SERIALIZER_VERSION = "1.0-spiffworkflow-backend"
+    SERIALIZER_VERSION = "2"
 
     wf_spec_converter = BpmnWorkflowSerializer.configure_workflow_spec_converter(SPIFF_SPEC_CONFIG)
     _serializer = BpmnWorkflowSerializer(wf_spec_converter, version=SERIALIZER_VERSION)

spiffworkflow-backend/src/spiffworkflow_backend/services/process_instance_service.py

@@ -16,6 +16,7 @@ from SpiffWorkflow.bpmn.specs.event_definitions.timer import TimerEventDefinitio
 from SpiffWorkflow.task import Task as SpiffTask  # type: ignore
 from SpiffWorkflow.util.task import TaskState  # type: ignore
 from spiffworkflow_backend import db
+from spiffworkflow_backend.data_migrations.process_instance_migrator import ProcessInstanceMigrator
 from spiffworkflow_backend.exceptions.api_error import ApiError
 from spiffworkflow_backend.exceptions.error import HumanTaskAlreadyCompletedError
 from spiffworkflow_backend.exceptions.error import HumanTaskNotFoundError
@@ -71,6 +72,7 @@ class ProcessInstanceService:
     @staticmethod
     def next_start_event_configuration(process_instance_model: ProcessInstanceModel) -> StartConfiguration:
         try:
+            # this is only called from create_process_instance so no need to worry about process instance migrations
             processor = ProcessInstanceProcessor(process_instance_model)
             start_configuration = WorkflowService.next_start_event_configuration(
                 processor.bpmn_process_instance, datetime.now(timezone.utc)
@@ -259,6 +261,7 @@ class ProcessInstanceService:
     ) -> ProcessInstanceProcessor | None:
         processor = None
         with ProcessInstanceQueueService.dequeued(process_instance):
+            ProcessInstanceMigrator.run(process_instance)
             processor = ProcessInstanceProcessor(
                 process_instance, workflow_completed_handler=cls.schedule_next_process_model_cycle
             )