mirror of
https://github.com/paperless-ngx/paperless-ngx.git
synced 2026-08-20 09:43:29 +00:00
Feature: Paperless AI (#10319)
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@@ -1,6 +1,7 @@
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import json
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from io import BytesIO
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from pathlib import Path
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from unittest.mock import patch
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from django.contrib.auth.models import User
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from django.core.files.uploadedfile import SimpleUploadedFile
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@@ -66,6 +67,13 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
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"barcode_max_pages": None,
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"barcode_enable_tag": None,
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"barcode_tag_mapping": None,
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"ai_enabled": False,
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"llm_embedding_backend": None,
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"llm_embedding_model": None,
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"llm_backend": None,
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"llm_model": None,
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"llm_api_key": None,
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"llm_endpoint": None,
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},
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)
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@@ -611,3 +619,76 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
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)
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self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)
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self.assertEqual(ApplicationConfiguration.objects.count(), 1)
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def test_update_llm_api_key(self):
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"""
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GIVEN:
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- Existing config with llm_api_key specified
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WHEN:
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- API to update llm_api_key is called with all *s
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- API to update llm_api_key is called with empty string
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THEN:
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- llm_api_key is unchanged
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- llm_api_key is set to None
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"""
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config = ApplicationConfiguration.objects.first()
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config.llm_api_key = "1234567890"
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config.save()
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# Test with all *
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response = self.client.patch(
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f"{self.ENDPOINT}1/",
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json.dumps(
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{
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"llm_api_key": "*" * 32,
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},
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),
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content_type="application/json",
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)
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self.assertEqual(response.status_code, status.HTTP_200_OK)
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config.refresh_from_db()
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self.assertEqual(config.llm_api_key, "1234567890")
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# Test with empty string
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response = self.client.patch(
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f"{self.ENDPOINT}1/",
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json.dumps(
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{
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"llm_api_key": "",
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},
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),
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content_type="application/json",
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)
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self.assertEqual(response.status_code, status.HTTP_200_OK)
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config.refresh_from_db()
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self.assertEqual(config.llm_api_key, None)
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def test_enable_ai_index_triggers_update(self):
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"""
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GIVEN:
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- Existing config with AI disabled
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WHEN:
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- Config is updated to enable AI with llm_embedding_backend
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THEN:
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- LLM index is triggered to update
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"""
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config = ApplicationConfiguration.objects.first()
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config.ai_enabled = False
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config.llm_embedding_backend = None
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config.save()
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with (
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patch("documents.tasks.llmindex_index.delay") as mock_update,
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patch("paperless_ai.indexing.vector_store_file_exists") as mock_exists,
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):
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mock_exists.return_value = False
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self.client.patch(
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f"{self.ENDPOINT}1/",
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json.dumps(
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{
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"ai_enabled": True,
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"llm_embedding_backend": "openai",
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},
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),
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content_type="application/json",
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)
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mock_update.assert_called_once()
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