Files
DocsGPT/tests/vectorstore/test_vector_creator.py
Alex 574f96341e refactor: rename the application package to docsgpt
The backend import package is now docsgpt, the name it will carry on PyPI;
application was far too generic to install into anyone's site-packages.
git mv plus a mechanical rewrite of every import, dotted string and path
reference: 734 Python files, the compose files, Dockerfile, workflows, docs,
setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage
config, .gitignore. Behaviour is unchanged.

Kept for one release:
- A top-level application package whose meta-path finder resolves
  application.x.y to the already-imported docsgpt.x.y object, so old imports
  and entry points (celery -A application.app.celery,
  uvicorn application.asgi:asgi_app) keep working with a FutureWarning.
- Celery registers every application.* task name as an alias of its
  docsgpt.* task on start-up, so messages queued by the previous release still
  run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries
  the previous release wrote are left unread instead of firing twice.

The backend image builds from the repository root (docker build -f
docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore
allow-lists docsgpt/ and application/ and keeps caches, local data, .env
files, the sample index files and the Dockerfile out. Compose and the image
workflows point at the new context.
2026-09-07 10:20:43 +01:00

40 lines
1.6 KiB
Python

from unittest.mock import patch
import pytest
from docsgpt.vectorstore.vector_creator import VectorCreator
@pytest.mark.unit
class TestVectorCreator:
def test_registered_vectorstores(self):
assert "faiss" in VectorCreator.vectorstores
assert "elasticsearch" in VectorCreator.vectorstores
assert "mongodb" in VectorCreator.vectorstores
assert "qdrant" in VectorCreator.vectorstores
assert "milvus" in VectorCreator.vectorstores
assert "pgvector" in VectorCreator.vectorstores
def test_create_vectorstore_invalid_type(self):
with pytest.raises(ValueError, match="No vectorstore class found for type"):
VectorCreator.create_vectorstore("nonexistent")
def test_create_vectorstore_case_insensitive(self):
with patch.object(
VectorCreator.vectorstores["faiss"], "__init__", return_value=None
) as mock_init:
mock_init.return_value = None
VectorCreator.create_vectorstore("FAISS", source_id="test", embeddings_key="key")
mock_init.assert_called_once_with(source_id="test", embeddings_key="key")
def test_create_vectorstore_passes_args(self):
with patch.object(
VectorCreator.vectorstores["mongodb"], "__init__", return_value=None
) as mock_init:
VectorCreator.create_vectorstore(
"mongodb", source_id="src1", embeddings_key="ek", database="mydb"
)
mock_init.assert_called_once_with(
source_id="src1", embeddings_key="ek", database="mydb"
)