sartography
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cr-connect-workflow
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Dropping the RRT-Data-Fix, it should have come out already, but had a failing test, so pulling it out now rather than delve into what is going wrong with obsolete code.

This commit is contained in:
Dan Funk 2020-07-20 11:39:50 -04:00
parent de54b63e20
commit 06430550c8
7 changed files with 19 additions and 170 deletions
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4
Pipfile
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@ -38,8 +38,8 @@ recommonmark = "*"
requests = "*"
sentry-sdk = {extras = ["flask"],version = "==0.14.4"}
sphinx = "*"
#spiffworkflow = {editable = true,git = "https://github.com/sartography/SpiffWorkflow.git",ref = "master"}
spiffworkflow = {editable = true,path="/home/kelly/sartography/SpiffWorkflow/"}
spiffworkflow = {editable = true,git = "https://github.com/sartography/SpiffWorkflow.git",ref = "master"}
#spiffworkflow = {editable = true,path="/home/kelly/sartography/SpiffWorkflow/"}
swagger-ui-bundle = "*"
webtest = "*"
werkzeug = "*"

88
Pipfile.lock generated
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@ -1,7 +1,7 @@
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"markers": "python_version >= '3.5'",
"version": "==1.1.4"
},
"spiffworkflow": {
"editable": true,
"path": "/home/kelly/sartography/SpiffWorkflow"
"git": "https://github.com/sartography/SpiffWorkflow.git",
"ref": "161b3e2ac62a824c6b771e9b817a2bd477af0d17"
},
"sqlalchemy": {
"hashes": [
@ -962,24 +919,21 @@
"sha256:f57be5673e12763dd400fea568608700a63ce1c6bd5bdbc3cc3a2c5fdb045274",
"sha256:fc728ece3d5c772c196fd338a99798e7efac7a04f9cb6416299a3638ee9a94cd"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==1.3.18"
},
"swagger-ui-bundle": {
"hashes": [
"sha256:49d2e12d60a6499e9d37ea37953b5d700f4e114edc7520fe918bae5eb693a20e",
"sha256:c5373b683487b1b914dccd23bcd9a3016afa2c2d1cda10f8713c0a9af0f91dd3",
"sha256:f776811855092c086dbb08216c8810a84accef8c76c796a135caa13645c5cc68"
"sha256:f5255f786cde67a2638111f4a7d04355836743198a83c4ecbe815d9fc384b0c8",
"sha256:f5691167f2e9f73ecbe8229a89454ae5ea958f90bb0d4583ed7adaae598c4122"
],
"index": "pypi",
"version": "==0.0.6"
"version": "==0.0.8"
},
"urllib3": {
"hashes": [
"sha256:3018294ebefce6572a474f0604c2021e33b3fd8006ecd11d62107a5d2a963527",
"sha256:88206b0eb87e6d677d424843ac5209e3fb9d0190d0ee169599165ec25e9d9115"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' and python_version < '4'",
"version": "==1.25.9"
},
"vine": {
@ -987,7 +941,6 @@
"sha256:133ee6d7a9016f177ddeaf191c1f58421a1dcc6ee9a42c58b34bed40e1d2cd87",
"sha256:ea4947cc56d1fd6f2095c8d543ee25dad966f78692528e68b4fada11ba3f98af"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==1.3.0"
},
"waitress": {
@ -995,7 +948,6 @@
"sha256:1bb436508a7487ac6cb097ae7a7fe5413aefca610550baf58f0940e51ecfb261",
"sha256:3d633e78149eb83b60a07dfabb35579c29aac2d24bb803c18b26fb2ab1a584db"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
"version": "==1.4.4"
},
"webob": {
@ -1003,7 +955,6 @@
"sha256:a3c89a8e9ba0aeb17382836cdb73c516d0ecf6630ec40ec28288f3ed459ce87b",
"sha256:aa3a917ed752ba3e0b242234b2a373f9c4e2a75d35291dcbe977649bd21fd108"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==1.8.6"
},
"webtest": {
@ -1050,7 +1001,6 @@
"sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b",
"sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96"
],
"markers": "python_version >= '3.6'",
"version": "==3.1.0"
}
},
@ -1060,7 +1010,6 @@
"sha256:08a96c641c3a74e44eb59afb61a24f2cb9f4d7188748e76ba4bb5edfa3cb7d1c",
"sha256:f7b7ce16570fe9965acd6d30101a28f62fb4a7f9e926b3bbc9b61f8b04247e72"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==19.3.0"
},
"coverage": {
@ -1116,7 +1065,6 @@
"sha256:68c70cc7167bdf5c7c9d8f6954a7837089c6a36bf565383919bb595efb8a17e5",
"sha256:b78134b2063dd214000685165d81c154522c3ee0a1c0d4d113c80361c234c5a2"
],
"markers": "python_version >= '3.5'",
"version": "==8.4.0"
},
"packaging": {
@ -1124,7 +1072,6 @@
"sha256:4357f74f47b9c12db93624a82154e9b120fa8293699949152b22065d556079f8",
"sha256:998416ba6962ae7fbd6596850b80e17859a5753ba17c32284f67bfff33784181"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==20.4"
},
"pbr": {
@ -1140,7 +1087,6 @@
"sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0",
"sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==0.13.1"
},
"py": {
@ -1148,7 +1094,6 @@
"sha256:366389d1db726cd2fcfc79732e75410e5fe4d31db13692115529d34069a043c2",
"sha256:9ca6883ce56b4e8da7e79ac18787889fa5206c79dcc67fb065376cd2fe03f342"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==1.9.0"
},
"pyparsing": {
@ -1156,7 +1101,6 @@
"sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1",
"sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"
],
"markers": "python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==2.4.7"
},
"pytest": {
@ -1172,7 +1116,6 @@
"sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259",
"sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced"
],
"markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
"version": "==1.15.0"
},
"wcwidth": {
@ -1187,7 +1130,6 @@
"sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b",
"sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96"
],
"markers": "python_version >= '3.6'",
"version": "==3.1.0"
}
}

6
crc/__init__.py
View File

@ -91,9 +91,3 @@ def clear_db():
from example_data import ExampleDataLoader
ExampleDataLoader.clean_db()
@app.cli.command()
def rrt_data_fix():
"""Finds all the empty task event logs, and populates
them with good wholesome data."""
from crc.services.workflow_service import WorkflowService
WorkflowService.fix_legacy_data_model_for_rrt()

4
crc/services/workflow_processor.py
View File

@ -17,7 +17,7 @@ from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser
from SpiffWorkflow.exceptions import WorkflowTaskExecException
from SpiffWorkflow.specs import WorkflowSpec
from crc import session
from crc import session, app
from crc.api.common import ApiError
from crc.models.file import FileDataModel, FileModel, FileType
from crc.models.workflow import WorkflowStatus, WorkflowModel, WorkflowSpecDependencyFile
@ -40,7 +40,6 @@ class CustomBpmnScriptEngine(BpmnScriptEngine):
"""
# Shlex splits the whole string while respecting double quoted strings within
commands = shlex.split(script)
failedOnce = False
prevError = ''
if commands[0] != '#!':
@ -52,7 +51,6 @@ class CustomBpmnScriptEngine(BpmnScriptEngine):
else:
commands = commands[1:]
printable_comms = commands
path_and_command = commands[0].rsplit(".", 1)
if len(path_and_command) == 1:
module_name = "crc.scripts." + self.camel_to_snake(path_and_command[0])

35
crc/services/workflow_service.py
View File

@ -449,41 +449,6 @@ class WorkflowService(object):
db.session.add(task_event)
db.session.commit()
@staticmethod
def fix_legacy_data_model_for_rrt():
""" Remove this after use! This is just to fix RRT so the data is handled correctly.
Utility that is likely called via the flask command line, it will loop through all the
workflows in the system and attempt to add the right data into the task action log so that
users do not have to re fill out all of the forms if they start over or go back in the workflow.
Viciously inefficient, but should only have to run one time for RRT"""
workflows = db.session.query(WorkflowModel).all()
for workflow_model in workflows:
task_logs = db.session.query(TaskEventModel) \
.filter(TaskEventModel.workflow_id == workflow_model.id) \
.filter(TaskEventModel.action == WorkflowService.TASK_ACTION_COMPLETE) \
.order_by(TaskEventModel.date.desc()).all()
processor = WorkflowProcessor(workflow_model)
# Grab all the data from last task completed, which will be everything in this
# rrt situation because of how we were keeping all the data at the time.
latest_data = processor.next_task().data
# Move forward in the task spec tree, dropping any data that would have been
# added in subsequent tasks, just looking at form data, will not track the automated
# task data additions, hopefully this doesn't hang us.
for log in task_logs:
# if log.task_data is not None: # Only do this if the task event does not have data populated in it.
# continue
data = copy.deepcopy(latest_data) # Or you end up with insane crazy issues.
# In the simple case of RRT, there is exactly one task for the given task_spec
task = processor.bpmn_workflow.get_tasks_from_spec_name(log.task_name)[0]
data = WorkflowService.extract_form_data(data, task)
log.form_data = data
db.session.add(log)
db.session.commit()
@staticmethod
def extract_form_data(latest_data, task):
"""Removes data from latest_data that would be added by the child task or any of its children."""

6
docker_run.sh
View File

@ -23,12 +23,6 @@ if [ "$RESET_DB_RRT" = "true" ]; then
pipenv run flask load-example-rrt-data
fi
if [ "$FIX_RRT_DATA" = "true" ]; then
echo 'Fixing RRT data...'
pipenv run flask rrt-data-fix
fi
# THIS MUST BE THE LAST COMMAND!
if [ "$APPLICATION_ROOT" = "/" ]; then
pipenv run gunicorn --bind 0.0.0.0:$PORT0 wsgi:app

46
tests/workflow/test_workflow_service.py
View File

@ -88,51 +88,7 @@ class TestWorkflowService(BaseTest):
WorkflowService.populate_form_with_random_data(task, task_api, required_only=False)
self.assertTrue(isinstance(task.data["sponsor"], dict))
def test_fix_legacy_data_model_for_rrt(self):
ExampleDataLoader().load_rrt() # Make sure the research_rampup is loaded, as it's not a test spec.
workflow = self.create_workflow('research_rampup')
processor = WorkflowProcessor(workflow, validate_only=True)
# Use the test spec code to complete the workflow of research rampup.
while not processor.bpmn_workflow.is_completed():
processor.bpmn_workflow.do_engine_steps()
tasks = processor.bpmn_workflow.get_tasks(SpiffTask.READY)
for task in tasks:
task_api = WorkflowService.spiff_task_to_api_task(task, add_docs_and_forms=True)
WorkflowService.populate_form_with_random_data(task, task_api, False)
task.complete()
# create the task events
WorkflowService.log_task_action('dhf8r', workflow, task,
WorkflowService.TASK_ACTION_COMPLETE,
version=processor.get_version_string())
processor.save()
db.session.commit()
WorkflowService.fix_legacy_data_model_for_rrt()
# All tasks should now have data associated with them.
task_logs = db.session.query(TaskEventModel) \
.filter(TaskEventModel.workflow_id == workflow.id) \
.filter(TaskEventModel.action == WorkflowService.TASK_ACTION_COMPLETE) \
.order_by(TaskEventModel.date).all() # Get them back in order.
self.assertEqual(17, len(task_logs))
for log in task_logs:
task = processor.bpmn_workflow.get_tasks_from_spec_name(log.task_name)[0]
self.assertIsNotNone(log.form_data)
# Each task should have the data in the form for that task in the task event.
if hasattr(task.task_spec, 'form'):
for field in task.task_spec.form.fields:
if field.has_property(Task.PROP_OPTIONS_REPEAT):
self.assertIn(field.get_property(Task.PROP_OPTIONS_REPEAT), log.form_data)
else:
self.assertIn(field.id, log.form_data)
# Some spot checks:
# The first task should be empty, with all the data removed.
self.assertEqual({}, task_logs[0].form_data)
def test_dmn_evaluation_errors_in_oncomplete_raise_api_errors_during_validation(self):
workflow_spec_model = self.load_test_spec("decision_table_invalid")
with self.assertRaises(NameError):
with self.assertRaises(ApiError):
WorkflowService.test_spec(workflow_spec_model.id)