Merge branch 'main' of github.com:sartography/spiff-arena

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jasquat 2023-05-25 12:00:28 -04:00
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## 🚀 Getting Started with SpiffWorkflow ## 🚀 Getting Started with SpiffWorkflow
SpiffWorkflow is a platform that facilitates the execution of business processes performed within the Status platform. SpiffWorkflow is a platform that facilitates the execution of business processes. To begin using SpiffWorkflow, it is necessary to acquire the appropriate credentials and URL.
To access SpiffWorkflow, simply sign in using your Keycloak account. Once you have successfully signed in to the Spiff platform, it is crucial to familiarize yourself with the various sections within the SpiffWorkflow. This will enable you to gain a comprehensive understanding of the interface. Upon receiving the credentials, here is how you can get started with SpiffWorkflow!
```{image} images/Untitled.png ```{image} images/Untitled.png
:alt: Login Page :alt: Login Page
@ -20,13 +20,7 @@ To access SpiffWorkflow, simply sign in using your Keycloak account. Once you ha
```{image} images/Untitled_1.png ```{image} images/Untitled_1.png
:alt: Home Page :alt: Home Page
:width: 45% :width: 53%
```
```{admonition} Signing In
:class: warning
⚠️ In the event that you encounter any difficulties signing in to Spiff, please reach out to Jakub (**@jakubgs**) on Discord for assistance and further guidance.
``` ```
Here, we will provide a generic overview of each section step by step, allowing you to navigate and engage with the platform more effectively. Here, we will provide a generic overview of each section step by step, allowing you to navigate and engage with the platform more effectively.
@ -41,7 +35,7 @@ Once you are signed in, you can start exploring the home page. The home page has
- The "Completed" section allows you to view all completed process instances, including those initiated by you, those initiated by other SpiffWorkflow users with tasks completed by you and if applicable, those with tasks completed by a group of which you are a member. - The "Completed" section allows you to view all completed process instances, including those initiated by you, those initiated by other SpiffWorkflow users with tasks completed by you and if applicable, those with tasks completed by a group of which you are a member.
- The “Start New” section displays the processes you are permitted to start according to your role. - The “Start New” section displays the processes you are permitted to start according to your role.
```{admonition} Signing In ```{admonition} Key terms
:class: info :class: info
💡 **Process:** A process is a sequence of tasks that must be completed to achieve a specific goal. 💡 **Process:** A process is a sequence of tasks that must be completed to achieve a specific goal.
@ -58,8 +52,7 @@ If you are a member of a team, you may also have one or more Instances with task
The process section provides a comprehensive view of the process ecosystem by showcasing process groups and process models. The process section provides a comprehensive view of the process ecosystem by showcasing process groups and process models.
```{admonition} Process Groups ```{admonition} Process Groups
:class: info A **process group** is a way of grouping a bunch of **process models** and a **process model** contains all the files necessary to execute a specific process.
💡 A **process group** is a way of grouping a bunch of **process models.** A **process model** contains all the files necessary to execute a specific process.
``` ```
-- --
@ -67,17 +60,13 @@ The process section provides a comprehensive view of the process ecosystem by sh
### Step 3: Explore the Process Instances section ### Step 3: Explore the Process Instances section
The Process Instance section provides a detailed view of individual process instances, allowing you to track their progress and manage them effectively. This section includes essential information such as the instance ID, process name, the individual who started the process, the end date, and the current status. The Process Instance section provides a detailed view of individual process instances, allowing you to track their progress and manage them effectively.
This section includes essential information such as the instance ID, process name, the individual who started the process, the end date, and the current status.
![Untitled](images/Untitled_5.png) ![Untitled](images/Untitled_5.png)
```{admonition} Desktop Notifications When getting started with SpiffWorkflow, it's essential to take the time to explore and familiarize yourself with the platform's interface and features. Feel free to ask questions about the platform's features or how to get started.
:class: info
💡 To receive SpiffWorkflow notifications in StatusApp Desktop, Public key from your Status account should be added to your **Bamboo profile**. This will ensure that workflow-related notifications are sent to you.
```
When getting started with SpiffWorkflow, it's essential to take the time to explore and familiarize yourself with the platform's interface and features. Feel free to ask questions about the platform's features or how to get started. The PPG team is always on hand to provide assistance and support when needed.
--- ---

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from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser # type: ignore from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser # type: ignore
from SpiffWorkflow.spiff.parser.process import SpiffBpmnParser # type: ignore from SpiffWorkflow.spiff.parser.process import SpiffBpmnParser # type: ignore
from spiffworkflow_backend.specs.start_event import StartEvent
class MyCustomParser(BpmnDmnParser): # type: ignore class MyCustomParser(BpmnDmnParser): # type: ignore
"""A BPMN and DMN parser that can also parse spiffworkflow-specific extensions.""" """A BPMN and DMN parser that can also parse spiffworkflow-specific extensions."""
OVERRIDE_PARSER_CLASSES = BpmnDmnParser.OVERRIDE_PARSER_CLASSES OVERRIDE_PARSER_CLASSES = BpmnDmnParser.OVERRIDE_PARSER_CLASSES
OVERRIDE_PARSER_CLASSES.update(SpiffBpmnParser.OVERRIDE_PARSER_CLASSES) OVERRIDE_PARSER_CLASSES.update(SpiffBpmnParser.OVERRIDE_PARSER_CLASSES)
StartEvent.register_parser_class(OVERRIDE_PARSER_CLASSES)

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@ -101,7 +101,11 @@ from spiffworkflow_backend.services.workflow_execution_service import (
from spiffworkflow_backend.services.workflow_execution_service import ( from spiffworkflow_backend.services.workflow_execution_service import (
WorkflowExecutionService, WorkflowExecutionService,
) )
from spiffworkflow_backend.specs.start_event import (
StartEvent,
)
StartEvent.register_converter(SPIFF_SPEC_CONFIG)
# Sorry about all this crap. I wanted to move this thing to another file, but # Sorry about all this crap. I wanted to move this thing to another file, but
# importing a bunch of types causes circular imports. # importing a bunch of types causes circular imports.

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@ -46,6 +46,7 @@ from spiffworkflow_backend.services.process_instance_queue_service import (
ProcessInstanceQueueService, ProcessInstanceQueueService,
) )
from spiffworkflow_backend.services.process_model_service import ProcessModelService from spiffworkflow_backend.services.process_model_service import ProcessModelService
from spiffworkflow_backend.services.workflow_service import WorkflowService
class ProcessInstanceService: class ProcessInstanceService:
@ -54,6 +55,17 @@ class ProcessInstanceService:
FILE_DATA_DIGEST_PREFIX = "spifffiledatadigest+" FILE_DATA_DIGEST_PREFIX = "spifffiledatadigest+"
TASK_STATE_LOCKED = "locked" TASK_STATE_LOCKED = "locked"
@staticmethod
def calculate_start_delay_in_seconds(process_instance_model: ProcessInstanceModel) -> int:
try:
processor = ProcessInstanceProcessor(process_instance_model)
delay_in_seconds = WorkflowService.calculate_run_at_delay_in_seconds(
processor.bpmn_process_instance, datetime.now(timezone.utc)
)
except Exception:
delay_in_seconds = 0
return delay_in_seconds
@classmethod @classmethod
def create_process_instance( def create_process_instance(
cls, cls,
@ -77,7 +89,8 @@ class ProcessInstanceService:
) )
db.session.add(process_instance_model) db.session.add(process_instance_model)
db.session.commit() db.session.commit()
run_at_in_seconds = round(time.time()) delay_in_seconds = cls.calculate_start_delay_in_seconds(process_instance_model)
run_at_in_seconds = round(time.time()) + delay_in_seconds
ProcessInstanceQueueService.enqueue_new_process_instance(process_instance_model, run_at_in_seconds) ProcessInstanceQueueService.enqueue_new_process_instance(process_instance_model, run_at_in_seconds)
return process_instance_model return process_instance_model

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"""workflow_service."""
from datetime import datetime
from SpiffWorkflow.bpmn.workflow import BpmnWorkflow # type: ignore
from SpiffWorkflow.task import Task as SpiffTask # type: ignore
from SpiffWorkflow.task import TaskState
from spiffworkflow_backend.specs.start_event import StartEvent
class WorkflowService:
"""WorkflowService."""
@classmethod
def future_start_events(cls, workflow: BpmnWorkflow) -> list[SpiffTask]:
return [t for t in workflow.get_tasks(TaskState.FUTURE) if isinstance(t.task_spec, StartEvent)]
@classmethod
def next_start_event_delay_in_seconds(cls, workflow: BpmnWorkflow, now_in_utc: datetime) -> int:
start_events = cls.future_start_events(workflow)
start_delays: list[int] = []
for start_event in start_events:
start_delay = start_event.task_spec.start_delay_in_seconds(start_event, now_in_utc)
start_delays.append(start_delay)
start_delays.sort()
return start_delays[0] if len(start_delays) > 0 else 0
@classmethod
def calculate_run_at_delay_in_seconds(cls, workflow: BpmnWorkflow, now_in_utc: datetime) -> int:
# TODO: for now we are using the first start time because I am not sure how multiple
# start events should work. I think the right answer is to take the earliest start
# time and have later start events stay FUTURE/WAITING?, then we need to be able
# to respect the other start events when enqueue'ing.
#
# TODO: this method should also expand to include other FUTURE/WAITING timers when
# enqueue'ing so that we don't have to check timers every 10 or whatever seconds
# right now we assume that this is being called to create a process
return cls.next_start_event_delay_in_seconds(workflow, now_in_utc)

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"""docstring."""

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from datetime import datetime
from typing import Any
from typing import Dict
from SpiffWorkflow.bpmn.parser.util import full_tag # type: ignore
from SpiffWorkflow.bpmn.serializer.task_spec import EventConverter # type: ignore
from SpiffWorkflow.bpmn.serializer.task_spec import StartEventConverter as DefaultStartEventConverter
from SpiffWorkflow.bpmn.specs.defaults import StartEvent as DefaultStartEvent # type: ignore
from SpiffWorkflow.bpmn.specs.event_definitions import CycleTimerEventDefinition # type: ignore
from SpiffWorkflow.bpmn.specs.event_definitions import DurationTimerEventDefinition
from SpiffWorkflow.bpmn.specs.event_definitions import NoneEventDefinition
from SpiffWorkflow.bpmn.specs.event_definitions import TimeDateEventDefinition
from SpiffWorkflow.bpmn.specs.event_definitions import TimerEventDefinition
from SpiffWorkflow.spiff.parser.event_parsers import SpiffStartEventParser # type: ignore
from SpiffWorkflow.task import Task as SpiffTask # type: ignore
# TODO: cylce timers and repeat counts?
class StartEvent(DefaultStartEvent): # type: ignore
def __init__(self, wf_spec, bpmn_id, event_definition, **kwargs): # type: ignore
if isinstance(event_definition, TimerEventDefinition):
super().__init__(wf_spec, bpmn_id, NoneEventDefinition(), **kwargs)
self.timer_definition = event_definition
else:
super().__init__(wf_spec, bpmn_id, event_definition, **kwargs)
self.timer_definition = None
@staticmethod
def register_converter(spec_config: Dict[str, Any]) -> None:
spec_config["task_specs"].remove(DefaultStartEventConverter)
spec_config["task_specs"].append(StartEventConverter)
@staticmethod
def register_parser_class(parser_config: Dict[str, Any]) -> None:
parser_config[full_tag("startEvent")] = (SpiffStartEventParser, StartEvent)
def start_delay_in_seconds(self, my_task: SpiffTask, now_in_utc: datetime) -> int:
script_engine = my_task.workflow.script_engine
evaluated_expression = None
parsed_duration = None
if isinstance(self.timer_definition, TimerEventDefinition) and script_engine is not None:
evaluated_expression = script_engine.evaluate(my_task, self.timer_definition.expression)
if evaluated_expression is not None:
if isinstance(self.timer_definition, TimeDateEventDefinition):
parsed_duration = TimerEventDefinition.parse_time_or_duration(evaluated_expression)
time_delta = parsed_duration - now_in_utc
return time_delta.seconds # type: ignore
elif isinstance(self.timer_definition, DurationTimerEventDefinition):
parsed_duration = TimerEventDefinition.parse_iso_duration(evaluated_expression)
time_delta = TimerEventDefinition.get_timedelta_from_start(parsed_duration, now_in_utc)
return time_delta.seconds # type: ignore
elif isinstance(self.timer_definition, CycleTimerEventDefinition):
return 0
return 0
class StartEventConverter(EventConverter): # type: ignore
def __init__(self, registry): # type: ignore
super().__init__(StartEvent, registry)

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"""Test_workflow_service."""
from datetime import datetime
from datetime import timedelta
from datetime import timezone
from typing import Generator
import pytest
from SpiffWorkflow.bpmn.workflow import BpmnWorkflow # type: ignore
from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser # type: ignore
from SpiffWorkflow.spiff.parser.process import SpiffBpmnParser # type: ignore
from tests.spiffworkflow_backend.helpers.base_test import BaseTest
from spiffworkflow_backend.services.workflow_service import (
WorkflowService,
)
from spiffworkflow_backend.specs.start_event import StartEvent
BPMN_WRAPPER = """
<bpmn:definitions xmlns:bpmn="http://www.omg.org/spec/BPMN/20100524/MODEL"
xmlns:bpmndi="http://www.omg.org/spec/BPMN/20100524/DI"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:dc="http://www.omg.org/spec/DD/20100524/DC"
xmlns:di="http://www.omg.org/spec/DD/20100524/DI"
id="Definitions_96f6665"
targetNamespace="http://bpmn.io/schema/bpmn"
exporter="Camunda Modeler"
exporterVersion="3.0.0-dev"
>
{}
</bpmn:definitions>
"""
@pytest.fixture()
def now_in_utc() -> Generator[datetime, None, None]:
yield datetime.now(timezone.utc)
@pytest.fixture()
def example_start_datetime_in_utc_str() -> Generator[str, None, None]:
yield "2019-10-01T12:00:00+00:00"
@pytest.fixture()
def example_start_datetime_minus_5_mins_in_utc(
example_start_datetime_in_utc_str: str,
) -> Generator[datetime, None, None]:
example_datetime = datetime.fromisoformat(example_start_datetime_in_utc_str)
yield example_datetime - timedelta(minutes=5)
class CustomBpmnDmnParser(BpmnDmnParser): # type: ignore
OVERRIDE_PARSER_CLASSES = {}
OVERRIDE_PARSER_CLASSES.update(BpmnDmnParser.OVERRIDE_PARSER_CLASSES)
OVERRIDE_PARSER_CLASSES.update(SpiffBpmnParser.OVERRIDE_PARSER_CLASSES)
StartEvent.register_parser_class(OVERRIDE_PARSER_CLASSES)
def workflow_from_str(bpmn_str: str, process_id: str) -> BpmnWorkflow:
parser = CustomBpmnDmnParser()
parser.add_bpmn_str(bpmn_str)
top_level = parser.get_spec(process_id)
subprocesses = parser.get_subprocess_specs(process_id)
return BpmnWorkflow(top_level, subprocesses)
def workflow_from_fragment(bpmn_fragment: str, process_id: str) -> BpmnWorkflow:
return workflow_from_str(BPMN_WRAPPER.format(bpmn_fragment), process_id)
class TestWorkflowService(BaseTest):
"""TestWorkflowService."""
def test_run_at_delay_is_0_for_regular_start_events(self, now_in_utc: datetime) -> None:
workflow = workflow_from_fragment(
"""
<bpmn:process id="no_tasks" name="No Tasks" isExecutable="true">
<bpmn:startEvent id="StartEvent_1">
<bpmn:outgoing>Flow_184umot</bpmn:outgoing>
</bpmn:startEvent>
<bpmn:endEvent id="Event_0qq9il3">
<bpmn:incoming>Flow_184umot</bpmn:incoming>
</bpmn:endEvent>
<bpmn:sequenceFlow id="Flow_184umot" sourceRef="StartEvent_1" targetRef="Event_0qq9il3" />
</bpmn:process>
""",
"no_tasks",
)
delay = WorkflowService.calculate_run_at_delay_in_seconds(workflow, now_in_utc)
assert delay == 0
def test_run_at_delay_is_30_for_30_second_duration_start_timer_event(self, now_in_utc: datetime) -> None:
workflow = workflow_from_fragment(
"""
<bpmn:process id="Process_aldvgey" isExecutable="true">
<bpmn:startEvent id="StartEvent_1">
<bpmn:outgoing>Flow_1x1o335</bpmn:outgoing>
<bpmn:timerEventDefinition id="TimerEventDefinition_1vi6a54">
<bpmn:timeDuration xsi:type="bpmn:tFormalExpression">"PT30S"</bpmn:timeDuration>
</bpmn:timerEventDefinition>
</bpmn:startEvent>
<bpmn:sequenceFlow id="Flow_1x1o335" sourceRef="StartEvent_1" targetRef="Event_0upbokh" />
<bpmn:endEvent id="Event_0upbokh">
<bpmn:incoming>Flow_1x1o335</bpmn:incoming>
</bpmn:endEvent>
</bpmn:process>
""",
"Process_aldvgey",
)
delay = WorkflowService.calculate_run_at_delay_in_seconds(workflow, now_in_utc)
assert delay == 30
def test_run_at_delay_is_300_if_5_mins_before_date_start_timer_event(
self, example_start_datetime_in_utc_str: str, example_start_datetime_minus_5_mins_in_utc: datetime
) -> None:
workflow = workflow_from_fragment(
f"""
<bpmn:process id="Process_aldvgey" isExecutable="true">
<bpmn:startEvent id="StartEvent_1">
<bpmn:outgoing>Flow_1x1o335</bpmn:outgoing>
<bpmn:timerEventDefinition id="TimerEventDefinition_1vi6a54">
<bpmn:timeDate xsi:type="bpmn:tFormalExpression">"{example_start_datetime_in_utc_str}"</bpmn:timeDate>
</bpmn:timerEventDefinition>
</bpmn:startEvent>
<bpmn:sequenceFlow id="Flow_1x1o335" sourceRef="StartEvent_1" targetRef="Event_0upbokh" />
<bpmn:endEvent id="Event_0upbokh">
<bpmn:incoming>Flow_1x1o335</bpmn:incoming>
</bpmn:endEvent>
</bpmn:process>
""",
"Process_aldvgey",
)
delay = WorkflowService.calculate_run_at_delay_in_seconds(workflow, example_start_datetime_minus_5_mins_in_utc)
assert delay == 300