Typeahead datastore (#321)
* Wiring up the datastore * Writes into the data store * Bulk save needs the timestamps * Prep to do the local query * Local typeahead working * Pre pr cleanup * ignore migrations dir in pre-commit for ruff w/ burnettk * Getting ./bin/pyl to pass --------- Co-authored-by: jasquat <jasquat@users.noreply.github.com>
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@ -51,6 +51,7 @@ repos:
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language: system
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types: [python]
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require_serial: true
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exclude: "/migrations/"
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- id: trailing-whitespace
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files: ^spiffworkflow-backend/
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name: Trim Trailing Whitespace
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@ -0,0 +1,44 @@
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"""empty message
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Revision ID: 377be1608b45
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Revises: e4b6bbf83a3e
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Create Date: 2023-06-07 12:39:19.989484
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"""
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from alembic import op
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import sqlalchemy as sa
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# revision identifiers, used by Alembic.
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revision = '377be1608b45'
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down_revision = 'e4b6bbf83a3e'
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branch_labels = None
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depends_on = None
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def upgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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op.create_table('typeahead',
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sa.Column('id', sa.Integer(), nullable=False),
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sa.Column('category', sa.String(length=255), nullable=True),
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sa.Column('search_term', sa.String(length=255), nullable=True),
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sa.Column('result', sa.JSON(), nullable=True),
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sa.Column('updated_at_in_seconds', sa.Integer(), nullable=True),
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sa.Column('created_at_in_seconds', sa.Integer(), nullable=True),
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sa.PrimaryKeyConstraint('id')
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)
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with op.batch_alter_table('typeahead', schema=None) as batch_op:
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batch_op.create_index(batch_op.f('ix_typeahead_category'), ['category'], unique=False)
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batch_op.create_index(batch_op.f('ix_typeahead_search_term'), ['search_term'], unique=False)
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# ### end Alembic commands ###
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def downgrade():
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# ### commands auto generated by Alembic - please adjust! ###
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with op.batch_alter_table('typeahead', schema=None) as batch_op:
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batch_op.drop_index(batch_op.f('ix_typeahead_search_term'))
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batch_op.drop_index(batch_op.f('ix_typeahead_category'))
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op.drop_table('typeahead')
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# ### end Alembic commands ###
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@ -0,0 +1,65 @@
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from time import time
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from typing import Any
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from SpiffWorkflow.bpmn.serializer.helpers.spec import BpmnSpecConverter # type: ignore
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from SpiffWorkflow.bpmn.specs.data_spec import BpmnDataStoreSpecification # type: ignore
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from SpiffWorkflow.task import Task as SpiffTask # type: ignore
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from spiffworkflow_backend.models.db import db
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from spiffworkflow_backend.models.typeahead import TypeaheadModel
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class TypeaheadDataStore(BpmnDataStoreSpecification): # type: ignore
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"""TypeaheadDataStore."""
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def get(self, my_task: SpiffTask) -> None:
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"""get."""
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raise Exception("This is a write only data store.")
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def set(self, my_task: SpiffTask) -> None:
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"""set."""
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typeahead_data_by_category = my_task.data[self.bpmn_id]
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for category, items in typeahead_data_by_category.items():
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db.session.query(TypeaheadModel).filter_by(category=category).delete()
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objects = [self._make_object(category, item) for item in items]
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db.session.bulk_save_objects(objects)
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db.session.commit()
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del my_task.data[self.bpmn_id]
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def _make_object(self, category: str, item: dict[str, Any]) -> TypeaheadModel:
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now = round(time())
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return TypeaheadModel(
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category=category,
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search_term=item["search_term"],
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result=item["result"],
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created_at_in_seconds=now,
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updated_at_in_seconds=now,
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)
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@staticmethod
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def register_converter(spec_config: dict[str, Any]) -> None:
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spec_config["task_specs"].append(TypeaheadDataStoreConverter)
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@staticmethod
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def register_data_store_class(data_store_classes: dict[str, Any]) -> None:
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data_store_classes["TypeaheadDataStore"] = TypeaheadDataStore
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class TypeaheadDataStoreConverter(BpmnSpecConverter): # type: ignore
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"""TypeaheadDataStoreConverter."""
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def __init__(self, registry): # type: ignore
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"""__init__."""
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super().__init__(TypeaheadDataStore, registry)
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def to_dict(self, spec: Any) -> dict[str, Any]:
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"""to_dict."""
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return {
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"bpmn_id": spec.bpmn_id,
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"bpmn_name": spec.bpmn_name,
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"capacity": spec.capacity,
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"is_unlimited": spec.is_unlimited,
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}
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def from_dict(self, dct: dict[str, Any]) -> TypeaheadDataStore:
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"""from_dict."""
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return TypeaheadDataStore(**dct)
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@ -79,5 +79,8 @@ from spiffworkflow_backend.models.active_user import (
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from spiffworkflow_backend.models.process_model_cycle import (
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ProcessModelCycleModel,
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) # noqa: F401
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from spiffworkflow_backend.models.typeahead import (
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TypeaheadModel,
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) # noqa: F401
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add_listeners()
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@ -0,0 +1,16 @@
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from dataclasses import dataclass
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from spiffworkflow_backend.models.db import SpiffworkflowBaseDBModel
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from spiffworkflow_backend.models.db import db
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@dataclass
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class TypeaheadModel(SpiffworkflowBaseDBModel):
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__tablename__ = "typeahead"
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id: int = db.Column(db.Integer, primary_key=True)
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category: str = db.Column(db.String(255), index=True)
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search_term: str = db.Column(db.String(255), index=True)
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result: dict = db.Column(db.JSON)
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updated_at_in_seconds: int = db.Column(db.Integer)
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created_at_in_seconds: int = db.Column(db.Integer)
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@ -1,3 +1,4 @@
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import json
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from typing import Any
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import flask.wrappers
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@ -6,6 +7,8 @@ from flask import current_app
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from flask.wrappers import Response
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from spiffworkflow_backend.config import HTTP_REQUEST_TIMEOUT_SECONDS
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from spiffworkflow_backend.models.db import db
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from spiffworkflow_backend.models.typeahead import TypeaheadModel
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def connector_proxy_typeahead_url() -> Any:
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def typeahead(category: str, prefix: str, limit: int) -> flask.wrappers.Response:
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if _has_local_data(category):
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return _local_typeahead(category, prefix, limit)
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return _remote_typeahead(category, prefix, limit)
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def _local_typeahead(category: str, prefix: str, limit: int) -> flask.wrappers.Response:
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results = (
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db.session.query(TypeaheadModel.result)
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.filter(
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TypeaheadModel.category == category,
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TypeaheadModel.search_term.ilike(f"{prefix}%"), # type: ignore
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)
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.order_by(TypeaheadModel.search_term)
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.limit(limit)
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.all()
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or []
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)
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# this is a bummer but sqlalchemy returns a tuple of one field for each result
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results = [result[0] for result in results]
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response = json.dumps(results)
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return Response(response, status=200, mimetype="application/json")
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def _remote_typeahead(category: str, prefix: str, limit: int) -> flask.wrappers.Response:
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url = f"{connector_proxy_typeahead_url()}/v1/typeahead/{category}?prefix={prefix}&limit={limit}"
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proxy_response = requests.get(url, timeout=HTTP_REQUEST_TIMEOUT_SECONDS)
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response = proxy_response.text
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return Response(response, status=status, mimetype="application/json")
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def _has_local_data(category: str) -> bool:
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return db.session.query(TypeaheadModel.category).filter_by(category=category).first() is not None
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@ -1,5 +1,8 @@
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from typing import Any
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from SpiffWorkflow.dmn.parser.BpmnDmnParser import BpmnDmnParser # type: ignore
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from SpiffWorkflow.spiff.parser.process import SpiffBpmnParser # type: ignore
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from spiffworkflow_backend.data_stores.typeahead import TypeaheadDataStore
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from spiffworkflow_backend.specs.start_event import StartEvent
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OVERRIDE_PARSER_CLASSES.update(SpiffBpmnParser.OVERRIDE_PARSER_CLASSES)
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StartEvent.register_parser_class(OVERRIDE_PARSER_CLASSES)
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DATA_STORE_CLASSES: dict[str, Any] = {}
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TypeaheadDataStore.register_data_store_class(DATA_STORE_CLASSES)
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@ -41,6 +41,7 @@ from SpiffWorkflow.spiff.serializer.config import SPIFF_SPEC_CONFIG # type: ign
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from SpiffWorkflow.task import Task as SpiffTask # type: ignore
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from SpiffWorkflow.task import TaskState
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from SpiffWorkflow.util.deep_merge import DeepMerge # type: ignore
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from spiffworkflow_backend.data_stores.typeahead import TypeaheadDataStore
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from spiffworkflow_backend.exceptions.api_error import ApiError
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from spiffworkflow_backend.models.bpmn_process import BpmnProcessModel
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from spiffworkflow_backend.models.bpmn_process_definition import BpmnProcessDefinitionModel
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from sqlalchemy import and_
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StartEvent.register_converter(SPIFF_SPEC_CONFIG)
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TypeaheadDataStore.register_converter(SPIFF_SPEC_CONFIG)
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# Sorry about all this crap. I wanted to move this thing to another file, but
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# importing a bunch of types causes circular imports.
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