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.
This commit is contained in:
Alex committed 2026-09-07 10:20:43 +01:00
1 parent 3e7f1f91b4
commit 574f96341e
984 files changed
+9847 -9682

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@@ -6,9 +6,9 @@ import pytest
def _make_mongodb_store(source_id="test-source"):
"""Helper to create a MongoDBVectorStore with all external deps mocked."""
with patch(
"application.vectorstore.base.BaseVectorStore._get_embeddings"
"docsgpt.vectorstore.base.BaseVectorStore._get_embeddings"
) as mock_get_emb, patch(
"application.vectorstore.mongodb.settings"
"docsgpt.vectorstore.mongodb.settings"
) as mock_settings, patch.dict(
"sys.modules", {"pymongo": MagicMock()}
):
@@ -19,7 +19,7 @@ def _make_mongodb_store(source_id="test-source"):
mock_settings.EMBEDDINGS_NAME = "test_model"
mock_settings.MONGO_URI = "mongodb://localhost:27017"
from application.vectorstore.mongodb import MongoDBVectorStore
from docsgpt.vectorstore.mongodb import MongoDBVectorStore
store = MongoDBVectorStore(
source_id=source_id,
@@ -37,7 +37,7 @@ def _make_mongodb_store(source_id="test-source"):
@pytest.mark.unit
class TestMongoDBVectorStoreInit:
def test_source_id_cleaned(self):
store, _, _ = _make_mongodb_store(source_id="application/indexes/abc123/")
store, _, _ = _make_mongodb_store(source_id="docsgpt/indexes/abc123/")
assert store._source_id == "abc123"
@@ -269,7 +269,7 @@ class TestMongoDBVectorStoreDeleteChunk:
store, mock_collection, _ = _make_mongodb_store()
mock_collection.delete_one.return_value = Mock(deleted_count=1)
with patch("application.vectorstore.mongodb.ObjectId", create=True):
with patch("docsgpt.vectorstore.mongodb.ObjectId", create=True):
# We need to mock bson.objectid.ObjectId
with patch.dict("sys.modules", {"bson": MagicMock(), "bson.objectid": MagicMock()}):
from unittest.mock import MagicMock as MM