merged in save_to_task_data branch and pyl with some cleanup w/ burnettk

This commit is contained in:
jasquat 2023-03-16 12:50:52 -04:00
commit 80d9fa8ad6
13 changed files with 41 additions and 37 deletions

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@ -31,7 +31,7 @@ on:
push:
branches:
- main
- feature/move_task_data_into_tables
- feature/use_tasks_as_logs
jobs:
create_frontend_docker_image:

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@ -1,5 +1,3 @@
from __future__ import with_statement
import logging
from logging.config import fileConfig

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@ -1894,8 +1894,8 @@ lxml = "*"
[package.source]
type = "git"
url = "https://github.com/sartography/SpiffWorkflow"
reference = "6cad2981712bb61eca23af1adfafce02d3277cb9"
resolved_reference = "6cad2981712bb61eca23af1adfafce02d3277cb9"
reference = "main"
resolved_reference = "f162aac43af3af18d1a55186aeccea154fb8b05d"
[[package]]
name = "SQLAlchemy"
@ -2274,7 +2274,7 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
[metadata]
lock-version = "1.1"
python-versions = ">=3.9,<3.12"
content-hash = "253dc24203f175f363158329b0303c11044bc1bb400b17189658251cb37029f7"
content-hash = "b9ea32912509637f1378d060771de7548d93953aa3db12d6a48098f7dc15205f"
[metadata.files]
alabaster = [

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@ -27,8 +27,8 @@ flask-marshmallow = "*"
flask-migrate = "*"
flask-restful = "*"
werkzeug = "*"
# SpiffWorkflow = {git = "https://github.com/sartography/SpiffWorkflow", rev = "f162aac43af3af18d1a55186aeccea154fb8b05d"}
SpiffWorkflow = {git = "https://github.com/sartography/SpiffWorkflow", rev = "6cad2981712bb61eca23af1adfafce02d3277cb9"}
SpiffWorkflow = {git = "https://github.com/sartography/SpiffWorkflow", rev = "main"}
# SpiffWorkflow = {git = "https://github.com/sartography/SpiffWorkflow", rev = "6cad2981712bb61eca23af1adfafce02d3277cb9"}
# SpiffWorkflow = {develop = true, path = "../SpiffWorkflow" }
sentry-sdk = "^1.10"
sphinx-autoapi = "^2.0"

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@ -11,7 +11,8 @@ from spiffworkflow_backend.models.db import db
from spiffworkflow_backend.models.db import SpiffworkflowBaseDBModel
from spiffworkflow_backend.models.group import GroupModel
from spiffworkflow_backend.models.process_instance import ProcessInstanceModel
from spiffworkflow_backend.models.task import Task, TaskModel
from spiffworkflow_backend.models.task import Task
from spiffworkflow_backend.models.task import TaskModel
from spiffworkflow_backend.models.user import UserModel

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@ -42,7 +42,8 @@ from spiffworkflow_backend.models.spec_reference import SpecReferenceCache
from spiffworkflow_backend.models.spec_reference import SpecReferenceNotFoundError
from spiffworkflow_backend.models.spiff_logging import SpiffLoggingModel
from spiffworkflow_backend.models.spiff_step_details import SpiffStepDetailsModel
from spiffworkflow_backend.models.task import Task, TaskModel
from spiffworkflow_backend.models.task import Task
from spiffworkflow_backend.models.task import TaskModel
from spiffworkflow_backend.models.user import UserModel
from spiffworkflow_backend.routes.process_api_blueprint import (
_find_process_instance_by_id_or_raise,
@ -236,9 +237,7 @@ def process_instance_log_list(
logs = (
log_query.order_by(TaskModel.end_in_seconds.desc()) # type: ignore
.outerjoin(HumanTaskModel, HumanTaskModel.task_model_id == TaskModel.id)
.outerjoin(
UserModel, UserModel.id == HumanTaskModel.completed_by_user_id
)
.outerjoin(UserModel, UserModel.id == HumanTaskModel.completed_by_user_id)
.add_columns(
UserModel.username,
)

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@ -225,7 +225,6 @@ class NonTaskDataBasedScriptEngineEnvironment(BasePythonScriptEngineEnvironment)
) -> None:
# TODO: once integrated look at the tests that fail without Box
# context is task.data
# import pdb; pdb.set_trace()
Box.convert_to_box(context)
self.state.update(self.globals)
self.state.update(external_methods or {})
@ -235,20 +234,15 @@ class NonTaskDataBasedScriptEngineEnvironment(BasePythonScriptEngineEnvironment)
finally:
# since the task data is not directly mutated when the script executes, need to determine which keys
# have been deleted from the environment and remove them from task data if present.
# import pdb; pdb.set_trace()
context_keys_to_drop = context.keys() - self.state.keys()
# import pdb; pdb.set_trace()
for key_to_drop in context_keys_to_drop:
context.pop(key_to_drop)
# import pdb; pdb.set_trace()
self.state = self.user_defined_state(external_methods)
# import pdb; pdb.set_trace()
# the task data needs to be updated with the current state so data references can be resolved properly.
# the state will be removed later once the task is completed.
import pdb; pdb.set_trace()
context.update(self.state)
def user_defined_state(self, external_methods: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
@ -291,7 +285,12 @@ class NonTaskDataBasedScriptEngineEnvironment(BasePythonScriptEngineEnvironment)
self.state[result_variable] = task.data.pop(result_variable)
class CustomScriptEngineEnvironment(NonTaskDataBasedScriptEngineEnvironment):
# SpiffWorkflow at revision f162aac43af3af18d1a55186aeccea154fb8b05d runs script tasks on ready
# which means that our will_complete_task hook does not have the correct env state when it runs
# so save everything to task data for now until we can figure out a better way to hook into that.
# Revision 6cad2981712bb61eca23af1adfafce02d3277cb9 is the last revision that can run with this.
# class CustomScriptEngineEnvironment(NonTaskDataBasedScriptEngineEnvironment):
class CustomScriptEngineEnvironment(BoxedTaskDataBasedScriptEngineEnvironment):
pass
@ -1559,7 +1558,7 @@ class ProcessInstanceProcessor:
serializer=self._serializer,
process_instance=self.process_instance_model,
bpmn_definition_to_task_definitions_mappings=self.bpmn_definition_to_task_definitions_mappings,
script_engine=self._script_engine,
# script_engine=self._script_engine,
)
if execution_strategy_name is None:

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@ -404,10 +404,10 @@ class ProcessInstanceReportService:
)
if report_filter.process_initiator_username is not None:
user = UserModel.query.filter_by(username=report_filter.process_initiator_username).first()
initiator = UserModel.query.filter_by(username=report_filter.process_initiator_username).first()
process_initiator_id = -1
if user:
process_initiator_id = user.id
if initiator:
process_initiator_id = initiator.id
process_instance_query = process_instance_query.filter_by(process_initiator_id=process_initiator_id)
if (

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@ -171,12 +171,12 @@ class TaskService:
tasks = bpmn_process_dict.pop("tasks")
bpmn_process_data_dict = bpmn_process_dict.pop("data")
if 'subprocesses' in bpmn_process_dict:
bpmn_process_dict.pop('subprocesses')
if 'spec' in bpmn_process_dict:
bpmn_process_dict.pop('spec')
if 'subprocess_specs' in bpmn_process_dict:
bpmn_process_dict.pop('subprocess_specs')
if "subprocesses" in bpmn_process_dict:
bpmn_process_dict.pop("subprocesses")
if "spec" in bpmn_process_dict:
bpmn_process_dict.pop("spec")
if "subprocess_specs" in bpmn_process_dict:
bpmn_process_dict.pop("subprocess_specs")
new_task_models = {}
new_json_data_dicts: dict[str, JsonDataDict] = {}

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@ -58,13 +58,13 @@ class TaskModelSavingDelegate(EngineStepDelegate):
serializer: BpmnWorkflowSerializer,
process_instance: ProcessInstanceModel,
bpmn_definition_to_task_definitions_mappings: dict,
script_engine,
# script_engine,
secondary_engine_step_delegate: Optional[EngineStepDelegate] = None,
) -> None:
self.secondary_engine_step_delegate = secondary_engine_step_delegate
self.process_instance = process_instance
self.bpmn_definition_to_task_definitions_mappings = bpmn_definition_to_task_definitions_mappings
self.script_engine = script_engine
# self.script_engine = script_engine
self.current_task_model: Optional[TaskModel] = None
self.current_task_start_in_seconds: Optional[float] = None
@ -106,8 +106,8 @@ class TaskModelSavingDelegate(EngineStepDelegate):
def did_complete_task(self, spiff_task: SpiffTask) -> None:
# if self.current_task_model and self.should_update_task_model():
if self.should_update_task_model():
if spiff_task.task_spec.name == 'top_level_script':
import pdb; pdb.set_trace()
# if spiff_task.task_spec.name == 'top_level_script':
# import pdb; pdb.set_trace()
# spiff_task.workflow.script_engine.environment.revise_state_with_task_data(spiff_task)
_bpmn_process, task_model, new_task_models, new_json_data_dicts = (
TaskService.find_or_create_task_model_from_spiff_task(

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@ -41,7 +41,7 @@ class ExampleDataLoader:
bpmn_file_name_with_extension = bpmn_file_name
if not bpmn_file_name_with_extension:
bpmn_file_name_with_extension = process_model_id
bpmn_file_name_with_extension = os.path.basename(process_model_id)
if not bpmn_file_name_with_extension.endswith(".bpmn"):
bpmn_file_name_with_extension += ".bpmn"
@ -65,7 +65,7 @@ class ExampleDataLoader:
file_name_matcher,
)
files = glob.glob(file_glob)
files = sorted(glob.glob(file_glob))
for file_path in files:
if os.path.isdir(file_path):
continue # Don't try to process sub directories

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@ -344,7 +344,9 @@ class TestProcessInstanceProcessor(BaseTest):
task_definition = task.task_definition
assert task_definition.bpmn_identifier == spiff_task_name
assert task_definition.bpmn_process_definition.bpmn_identifier == bpmn_process_identifier
assert task.python_env_data() == expected_python_env_data, f"{base_failure_message} Expected: {expected_python_env_data}. Received: {task.python_env_data()}"
message = f"{base_failure_message} Expected: {expected_python_env_data}. Received: {task.json_data()}"
# assert task.python_env_data() == expected_python_env_data, message
assert task.json_data() == expected_python_env_data, message
spiff_tasks_checked_once.append(spiff_task.task_spec.name)
all_spiff_tasks = processor_final.bpmn_process_instance.get_tasks()

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@ -29,6 +29,11 @@ export default function ProcessInstanceLogList({ variant }: OwnProps) {
}
useEffect(() => {
// Clear out any previous results to avoid a "flicker" effect where columns
// are updated above the incorrect data.
setProcessInstanceLogs([]);
setPagination(null);
const setProcessInstanceLogListFromResult = (result: any) => {
setProcessInstanceLogs(result.results);
setPagination(result.pagination);