Merge pull request #243 from sartography/feature/interstitial_do_not_update_pi_status

Feature/interstitial do not update pi status
This commit is contained in:
jasquat 2023-05-08 14:29:13 -04:00 committed by GitHub
commit ca8ddc55d7
5 changed files with 73 additions and 34 deletions

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@ -172,7 +172,7 @@ class ProcessInstanceModel(SpiffworkflowBaseDBModel):
@classmethod
def active_statuses(cls) -> list[str]:
return ["user_input_required", "waiting"]
return ["not_started", "user_input_required", "waiting"]
class ProcessInstanceModelSchema(Schema):

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@ -45,7 +45,8 @@ from spiffworkflow_backend.models.process_instance import (
)
from spiffworkflow_backend.models.process_instance_event import ProcessInstanceEventType
from spiffworkflow_backend.models.process_model import ProcessModelInfo
from spiffworkflow_backend.models.task import TaskModel # noqa: F401
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_principal_or_raise,
@ -400,6 +401,11 @@ def _interstitial_stream(process_instance: ProcessInstanceModel) -> Generator[st
extensions = TaskService.get_extensions_from_task_model(task_model)
return _render_instructions_for_end_user(task_model, extensions)
def render_data(return_type: str, entity: Union[ApiError, Task, ProcessInstanceModel]) -> str:
return_hash: dict = {"type": return_type}
return_hash[return_type] = entity
return f"data: {current_app.json.dumps(return_hash)} \n\n"
tasks = get_reportable_tasks()
while True:
for spiff_task in tasks:
@ -411,14 +417,18 @@ def _interstitial_stream(process_instance: ProcessInstanceModel) -> Generator[st
message=f"Failed to complete an automated task. Error was: {str(e)}",
status_code=400,
)
yield f"data: {current_app.json.dumps(api_error)} \n\n"
yield render_data("error", api_error)
raise e
if instructions and spiff_task.id not in reported_ids:
task = ProcessInstanceService.spiff_task_to_api_task(processor, spiff_task)
task.properties = {"instructionsForEndUser": instructions}
yield f"data: {current_app.json.dumps(task)} \n\n"
yield render_data("task", task)
reported_ids.append(spiff_task.id)
if spiff_task.state == TaskState.READY:
# do not do any processing if the instance is not currently active
if process_instance.status not in ProcessInstanceModel.active_statuses():
yield render_data("unrunnable_instance", process_instance)
break
try:
processor.do_engine_steps(execution_strategy_name="one_at_a_time")
processor.do_engine_steps(execution_strategy_name="run_until_user_message")
@ -427,7 +437,7 @@ def _interstitial_stream(process_instance: ProcessInstanceModel) -> Generator[st
api_error = ApiError.from_workflow_exception(
"engine_steps_error", "Failed complete an automated task.", exp=wfe
)
yield f"data: {current_app.json.dumps(api_error)} \n\n"
yield render_data("error", api_error)
return
except Exception as e:
api_error = ApiError(
@ -435,7 +445,7 @@ def _interstitial_stream(process_instance: ProcessInstanceModel) -> Generator[st
message=f"Failed to complete an automated task. Error was: {str(e)}",
status_code=400,
)
yield f"data: {current_app.json.dumps(api_error)} \n\n"
yield render_data("error", api_error)
return
processor.refresh_waiting_tasks()
ready_engine_task_count = get_ready_engine_step_count(processor.bpmn_process_instance)
@ -454,10 +464,10 @@ def _interstitial_stream(process_instance: ProcessInstanceModel) -> Generator[st
message=f"Failed to complete an automated task. Error was: {str(e)}",
status_code=400,
)
yield f"data: {current_app.json.dumps(api_error)} \n\n"
yield render_data("error", api_error)
raise e
task.properties = {"instructionsForEndUser": instructions}
yield f"data: {current_app.json.dumps(task)} \n\n"
yield render_data("task", task)
def get_ready_engine_step_count(bpmn_process_instance: BpmnWorkflow) -> int:
@ -472,8 +482,9 @@ def get_ready_engine_step_count(bpmn_process_instance: BpmnWorkflow) -> int:
)
def _dequeued_interstitial_stream(process_instance_id: int) -> Generator[str, Optional[str], None]:
def _dequeued_interstitial_stream(process_instance_id: int) -> Generator[Optional[str], Optional[str], None]:
process_instance = _find_process_instance_by_id_or_raise(process_instance_id)
with ProcessInstanceQueueService.dequeued(process_instance):
yield from _interstitial_stream(process_instance)

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@ -1688,14 +1688,15 @@ class TestProcessApi(BaseTest):
# The second script task should produce rendered jinja text
# The Manual Task should then return a message as well.
assert len(results) == 2
assert json_results[0]["state"] == "READY"
assert json_results[0]["title"] == "Script Task #2"
assert json_results[0]["properties"]["instructionsForEndUser"] == "I am Script Task 2"
assert json_results[1]["state"] == "READY"
assert json_results[1]["title"] == "Manual Task"
# import pdb; pdb.set_trace()
assert json_results[0]["task"]["state"] == "READY"
assert json_results[0]["task"]["title"] == "Script Task #2"
assert json_results[0]["task"]["properties"]["instructionsForEndUser"] == "I am Script Task 2"
assert json_results[1]["task"]["state"] == "READY"
assert json_results[1]["task"]["title"] == "Manual Task"
response = client.put(
f"/v1.0/tasks/{process_instance_id}/{json_results[1]['id']}",
f"/v1.0/tasks/{process_instance_id}/{json_results[1]['task']['id']}",
headers=headers,
)
@ -1705,14 +1706,14 @@ class TestProcessApi(BaseTest):
results = list(_dequeued_interstitial_stream(process_instance_id))
json_results = list(map(lambda x: json.loads(x[5:]), results)) # type: ignore
assert len(results) == 1
assert json_results[0]["state"] == "READY"
assert json_results[0]["can_complete"] is False
assert json_results[0]["title"] == "Please Approve"
assert json_results[0]["properties"]["instructionsForEndUser"] == "I am a manual task in another lane"
assert json_results[0]["task"]["state"] == "READY"
assert json_results[0]["task"]["can_complete"] is False
assert json_results[0]["task"]["title"] == "Please Approve"
assert json_results[0]["task"]["properties"]["instructionsForEndUser"] == "I am a manual task in another lane"
# Complete task as the finance user.
response = client.put(
f"/v1.0/tasks/{process_instance_id}/{json_results[0]['id']}",
f"/v1.0/tasks/{process_instance_id}/{json_results[0]['task']['id']}",
headers=self.logged_in_headers(finance_user),
)
@ -1722,8 +1723,8 @@ class TestProcessApi(BaseTest):
results = list(_dequeued_interstitial_stream(process_instance_id))
json_results = list(map(lambda x: json.loads(x[5:]), results)) # type: ignore
assert len(json_results) == 1
assert json_results[0]["state"] == "COMPLETED"
assert json_results[0]["properties"]["instructionsForEndUser"] == "I am the end task"
assert json_results[0]["task"]["state"] == "COMPLETED"
assert json_results[0]["task"]["properties"]["instructionsForEndUser"] == "I am the end task"
def test_process_instance_list_with_default_list(
self,

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@ -351,3 +351,15 @@ export interface ProcessModelCaller {
}
export interface UserGroup {}
type InterstitialPageResponseType =
| 'task_update'
| 'error'
| 'unrunnable_instance';
export interface InterstitialPageResponse {
type: InterstitialPageResponseType;
error?: any;
task?: ProcessInstanceTask;
process_instance?: ProcessInstance;
}

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@ -9,12 +9,14 @@ import { getBasicHeaders } from '../services/HttpService';
// @ts-ignore
import InstructionsForEndUser from '../components/InstructionsForEndUser';
import ProcessBreadcrumb from '../components/ProcessBreadcrumb';
import { ProcessInstanceTask } from '../interfaces';
import { ProcessInstance, ProcessInstanceTask } from '../interfaces';
import useAPIError from '../hooks/UseApiError';
export default function ProcessInterstitial() {
const [data, setData] = useState<any[]>([]);
const [lastTask, setLastTask] = useState<any>(null);
const [processInstance, setProcessInstance] =
useState<ProcessInstance | null>(null);
const [state, setState] = useState<string>('RUNNING');
const params = useParams();
const navigate = useNavigate();
@ -32,11 +34,13 @@ export default function ProcessInterstitial() {
headers: getBasicHeaders(),
onmessage(ev) {
const retValue = JSON.parse(ev.data);
if ('error_code' in retValue) {
addError(retValue);
} else {
setData((prevData) => [retValue, ...prevData]);
setLastTask(retValue);
if (retValue.type === 'error') {
addError(retValue.error);
} else if (retValue.type === 'task') {
setData((prevData) => [retValue.task, ...prevData]);
setLastTask(retValue.task);
} else if (retValue.type === 'unrunnable_instance') {
setProcessInstance(retValue.unrunnable_instance);
}
},
onclose() {
@ -49,9 +53,14 @@ export default function ProcessInterstitial() {
const shouldRedirect = useCallback(
(myTask: ProcessInstanceTask): boolean => {
return myTask && myTask.can_complete && userTasks.includes(myTask.type);
return (
!processInstance &&
myTask &&
myTask.can_complete &&
userTasks.includes(myTask.type)
);
},
[userTasks]
[userTasks, processInstance]
);
useEffect(() => {
@ -68,6 +77,9 @@ export default function ProcessInterstitial() {
}, [lastTask, navigate, userTasks, shouldRedirect]);
const getStatus = (): string => {
if (processInstance) {
return 'LOCKED';
}
if (!lastTask.can_complete && userTasks.includes(lastTask.type)) {
return 'LOCKED';
}
@ -153,12 +165,15 @@ export default function ProcessInterstitial() {
return <div>{myTask.error_message}</div>;
}
let message =
'There are no additional instructions or information for this task.';
if (processInstance && processInstance.status !== 'completed') {
message = `The tasks cannot be completed on this instance because its status is "${processInstance.status}".`;
}
return (
<div>
<InstructionsForEndUser
task={myTask}
defaultMessage="There are no additional instructions or information for this task."
/>
<InstructionsForEndUser task={myTask} defaultMessage={message} />
</div>
);
};