mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-23 15:38:55 +01:00
216acf545f
- Partition configuration for indexing local data based on user accounts - Store indexed data in an underlying postgres db using the `pgvector` extension - Add migrations for all relevant user data and embeddings generation. Very little performance optimization has been done for the lookup time - Apply filters using SQL queries - Start removing many server-level configuration settings - Configure GitHub test actions to run during any PR. Update the test action to run in a containerized environment with a DB. - Update the Docker image and docker-compose.yml to work with the new application design
290 lines
11 KiB
Python
290 lines
11 KiB
Python
# Standard Modules
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from io import BytesIO
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from PIL import Image
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from urllib.parse import quote
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import pytest
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# External Packages
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from fastapi.testclient import TestClient
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from fastapi import FastAPI
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# Internal Packages
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from khoj.configure import configure_routes, configure_search_types
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from khoj.utils import state
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from khoj.utils.state import search_models, content_index, config
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from khoj.search_type import text_search, image_search
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from khoj.utils.rawconfig import ContentConfig, SearchConfig
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from khoj.processor.org_mode.org_to_jsonl import OrgToJsonl
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from database.models import KhojUser
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from database.adapters import EmbeddingsAdapters
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# Test
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# ----------------------------------------------------------------------------------------------------
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def test_search_with_invalid_content_type(client):
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# Arrange
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user_query = quote("How to call Khoj from Emacs?")
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# Act
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response = client.get(f"/api/search?q={user_query}&t=invalid_content_type")
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# Assert
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assert response.status_code == 422
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# ----------------------------------------------------------------------------------------------------
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def test_search_with_valid_content_type(client):
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for content_type in ["all", "org", "markdown", "image", "pdf", "github", "notion"]:
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# Act
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response = client.get(f"/api/search?q=random&t={content_type}")
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# Assert
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assert response.status_code == 200, f"Returned status: {response.status_code} for content type: {content_type}"
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# ----------------------------------------------------------------------------------------------------
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def test_update_with_invalid_content_type(client):
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# Act
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response = client.get(f"/api/update?t=invalid_content_type")
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# Assert
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assert response.status_code == 422
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# ----------------------------------------------------------------------------------------------------
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def test_regenerate_with_invalid_content_type(client):
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# Act
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response = client.get(f"/api/update?force=true&t=invalid_content_type")
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# Assert
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assert response.status_code == 422
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# ----------------------------------------------------------------------------------------------------
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def test_index_update(client):
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# Arrange
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files = get_sample_files_data()
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headers = {"x-api-key": "secret"}
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# Act
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response = client.post("/api/v1/index/update", files=files, headers=headers)
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# Assert
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assert response.status_code == 200
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# ----------------------------------------------------------------------------------------------------
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def test_regenerate_with_valid_content_type(client):
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for content_type in ["all", "org", "markdown", "image", "pdf", "notion"]:
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# Arrange
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files = get_sample_files_data()
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headers = {"x-api-key": "secret"}
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# Act
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response = client.post(f"/api/v1/index/update?t={content_type}", files=files, headers=headers)
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# Assert
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assert response.status_code == 200, f"Returned status: {response.status_code} for content type: {content_type}"
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# ----------------------------------------------------------------------------------------------------
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def test_regenerate_with_github_fails_without_pat(client):
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# Act
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response = client.get(f"/api/update?force=true&t=github")
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# Arrange
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files = get_sample_files_data()
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headers = {"x-api-key": "secret"}
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# Act
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response = client.post(f"/api/v1/index/update?t=github", files=files, headers=headers)
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# Assert
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assert response.status_code == 200, f"Returned status: {response.status_code} for content type: github"
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db
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@pytest.mark.skip(reason="Flaky test on parallel test runs")
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def test_get_configured_types_via_api(client, sample_org_data):
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# Act
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text_search.setup(OrgToJsonl, sample_org_data, regenerate=False)
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enabled_types = EmbeddingsAdapters.get_unique_file_types(user=None).all().values_list("file_type", flat=True)
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# Assert
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assert list(enabled_types) == ["org"]
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_get_api_config_types(client, search_config: SearchConfig, sample_org_data):
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# Arrange
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text_search.setup(OrgToJsonl, sample_org_data, regenerate=False)
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# Act
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response = client.get(f"/api/config/types")
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# Assert
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assert response.status_code == 200
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assert response.json() == ["all", "org", "markdown", "image"]
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_get_configured_types_with_no_content_config(fastapi_app: FastAPI):
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# Arrange
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state.SearchType = configure_search_types(config)
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original_config = state.config.content_type
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state.config.content_type = None
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configure_routes(fastapi_app)
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client = TestClient(fastapi_app)
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# Act
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response = client.get(f"/api/config/types")
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# Assert
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assert response.status_code == 200
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assert response.json() == ["all"]
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# Restore
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state.config.content_type = original_config
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# ----------------------------------------------------------------------------------------------------
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def test_image_search(client, content_config: ContentConfig, search_config: SearchConfig):
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# Arrange
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search_models.image_search = image_search.initialize_model(search_config.image)
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content_index.image = image_search.setup(
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content_config.image, search_models.image_search.image_encoder, regenerate=False
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)
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query_expected_image_pairs = [
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("kitten", "kitten_park.jpg"),
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("a horse and dog on a leash", "horse_dog.jpg"),
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("A guinea pig eating grass", "guineapig_grass.jpg"),
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]
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for query, expected_image_name in query_expected_image_pairs:
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# Act
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response = client.get(f"/api/search?q={query}&n=1&t=image")
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# Assert
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assert response.status_code == 200
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actual_image = Image.open(BytesIO(client.get(response.json()[0]["entry"]).content))
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expected_image = Image.open(content_config.image.input_directories[0].joinpath(expected_image_name))
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# Assert
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assert expected_image == actual_image
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_notes_search(client, search_config: SearchConfig, sample_org_data):
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# Arrange
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text_search.setup(OrgToJsonl, sample_org_data, regenerate=False)
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user_query = quote("How to git install application?")
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# Act
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response = client.get(f"/api/search?q={user_query}&n=1&t=org&r=true")
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# Assert
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assert response.status_code == 200
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# assert actual_data contains "Khoj via Emacs" entry
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search_result = response.json()[0]["entry"]
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assert "git clone https://github.com/khoj-ai/khoj" in search_result
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_notes_search_with_only_filters(
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client, content_config: ContentConfig, search_config: SearchConfig, sample_org_data
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):
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# Arrange
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text_search.setup(
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OrgToJsonl,
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sample_org_data,
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regenerate=False,
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)
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user_query = quote('+"Emacs" file:"*.org"')
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# Act
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response = client.get(f"/api/search?q={user_query}&n=1&t=org")
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# Assert
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assert response.status_code == 200
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# assert actual_data contains word "Emacs"
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search_result = response.json()[0]["entry"]
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assert "Emacs" in search_result
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_notes_search_with_include_filter(client, sample_org_data):
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# Arrange
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text_search.setup(OrgToJsonl, sample_org_data, regenerate=False)
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user_query = quote('How to git install application? +"Emacs"')
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# Act
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response = client.get(f"/api/search?q={user_query}&n=1&t=org")
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# Assert
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assert response.status_code == 200
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# assert actual_data contains word "Emacs"
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search_result = response.json()[0]["entry"]
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assert "Emacs" in search_result
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_notes_search_with_exclude_filter(client, sample_org_data):
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# Arrange
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text_search.setup(
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OrgToJsonl,
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sample_org_data,
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regenerate=False,
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)
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user_query = quote('How to git install application? -"clone"')
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# Act
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response = client.get(f"/api/search?q={user_query}&n=1&t=org")
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# Assert
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assert response.status_code == 200
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# assert actual_data does not contains word "clone"
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search_result = response.json()[0]["entry"]
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assert "clone" not in search_result
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# ----------------------------------------------------------------------------------------------------
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@pytest.mark.django_db(transaction=True)
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def test_different_user_data_not_accessed(client, sample_org_data, default_user: KhojUser):
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# Arrange
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text_search.setup(OrgToJsonl, sample_org_data, regenerate=False, user=default_user)
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user_query = quote("How to git install application?")
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# Act
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response = client.get(f"/api/search?q={user_query}&n=1&t=org")
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# Assert
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assert response.status_code == 200
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# assert actual response has no data as the default_user is different from the user making the query (anonymous)
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assert len(response.json()) == 0
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def get_sample_files_data():
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return {
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"files": ("path/to/filename.org", "* practicing piano", "text/org"),
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"files": ("path/to/filename1.org", "** top 3 reasons why I moved to SF", "text/org"),
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"files": ("path/to/filename2.org", "* how to build a search engine", "text/org"),
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"files": ("path/to/filename.pdf", "Moore's law does not apply to consumer hardware", "application/pdf"),
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"files": ("path/to/filename1.pdf", "The sun is a ball of helium", "application/pdf"),
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"files": ("path/to/filename2.pdf", "Effect of sunshine on baseline human happiness", "application/pdf"),
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"files": ("path/to/filename.txt", "data,column,value", "text/plain"),
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"files": ("path/to/filename1.txt", "<html>my first web page</html>", "text/plain"),
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"files": ("path/to/filename2.txt", "2021-02-02 Journal Entry", "text/plain"),
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"files": ("path/to/filename.md", "# Notes from client call", "text/markdown"),
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"files": (
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"path/to/filename1.md",
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"## Studying anthropological records from the Fatimid caliphate",
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"text/markdown",
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),
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"files": ("path/to/filename2.md", "**Understanding science through the lens of art**", "text/markdown"),
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}
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