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https://github.com/paperless-ngx/paperless-ngx.git
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@@ -56,4 +56,29 @@ class Migration(migrations.Migration):
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verbose_name="Workflow Action Type",
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),
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),
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migrations.AlterField(
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model_name="paperlesstask",
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name="task_type",
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field=models.CharField(
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choices=[
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("consume_file", "Consume File"),
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("train_classifier", "Train Classifier"),
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("sanity_check", "Sanity Check"),
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("index_optimize", "Index Optimize"),
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("mail_fetch", "Mail Fetch"),
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("llm_index", "LLM Index"),
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("empty_trash", "Empty Trash"),
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("check_workflows", "Check Workflows"),
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("bulk_update", "Bulk Update"),
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("reprocess_document", "Reprocess Document"),
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("build_share_link", "Build Share Link"),
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("bulk_delete", "Bulk Delete"),
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("apply_ai_suggestions", "Apply AI Suggestions"),
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],
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db_index=True,
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help_text="The kind of work being performed",
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max_length=50,
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verbose_name="Task Type",
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),
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),
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]
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@@ -695,6 +695,7 @@ class PaperlessTask(ModelWithOwner):
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REPROCESS_DOCUMENT = "reprocess_document", _("Reprocess Document")
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BUILD_SHARE_LINK = "build_share_link", _("Build Share Link")
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BULK_DELETE = "bulk_delete", _("Bulk Delete")
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APPLY_AI_SUGGESTIONS = "apply_ai_suggestions", _("Apply AI Suggestions")
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COMPLETE_STATUSES = (
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Status.SUCCESS,
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@@ -998,7 +998,12 @@ def run_workflows(
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# Queued rather than run sync
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from documents.tasks import apply_ai_suggestions
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apply_ai_suggestions.delay(action.pk, document.pk)
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# kwargs so the PaperlessTask record can note the
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# document, see _extract_input_data
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apply_ai_suggestions.delay(
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action_id=action.pk,
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document_id=document.pk,
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)
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if not use_overrides:
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# limit title to 128 characters
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@@ -1054,6 +1059,7 @@ TRACKED_TASKS: dict[str, PaperlessTask.TaskType] = {
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"documents.tasks.update_document_content_maybe_archive_file": PaperlessTask.TaskType.REPROCESS_DOCUMENT,
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"documents.tasks.build_share_link_bundle": PaperlessTask.TaskType.BUILD_SHARE_LINK,
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"documents.bulk_edit.delete": PaperlessTask.TaskType.BULK_DELETE,
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"documents.tasks.apply_ai_suggestions": PaperlessTask.TaskType.APPLY_AI_SUGGESTIONS,
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}
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_CELERY_STATE_TO_STATUS: dict[str, PaperlessTask.Status] = {
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@@ -1107,6 +1113,12 @@ def _extract_input_data(
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return {"account_ids": account_ids}
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return {}
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if task_type == PaperlessTask.TaskType.APPLY_AI_SUGGESTIONS:
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document_id = task_kwargs.get("document_id")
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if document_id is not None:
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return {"document_id": document_id}
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return {}
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return {}
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@@ -385,6 +385,25 @@ class TestTaskFailureHandler:
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task_failure_handler(task_id=None, exception=ValueError("x"), traceback=None)
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@pytest.mark.django_db
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class TestApplyAiSuggestionsTracking:
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def test_records_the_document_it_is_for(self) -> None:
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"""
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The action queues one task per document, so the tracked record notes
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which document it is for -- otherwise a bulk run is an indistinguishable
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wall of identical entries in the tasks list.
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"""
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task_id = send_publish(
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"documents.tasks.apply_ai_suggestions",
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(),
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{"action_id": 1, "document_id": 42},
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)
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task = PaperlessTask.objects.get(task_id=task_id)
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assert task.task_type == PaperlessTask.TaskType.APPLY_AI_SUGGESTIONS
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assert task.input_data == {"document_id": 42}
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@pytest.mark.django_db
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class TestTaskRevokedHandler:
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def test_marks_task_revoked(self, mocker: pytest_mock.MockerFixture) -> None:
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