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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+11 -11
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@@ -13,9 +13,9 @@ from unittest.mock import patch
import pytest
from application.storage.db.bootstrap import ensure_vector_schema
from application.vectorstore import pgvector as pgvector_module
from application.vectorstore.pgvector import PGVectorStore
from docsgpt.storage.db.bootstrap import ensure_vector_schema
from docsgpt.vectorstore import pgvector as pgvector_module
from docsgpt.vectorstore.pgvector import PGVectorStore
pytestmark = pytest.mark.integration
@@ -88,7 +88,7 @@ def live_dsn(postgresql, monkeypatch):
pytest.skip(f"pgvector extension unavailable: {exc}")
dsn = _dsn(postgresql.info)
from application.core import settings as settings_module
from docsgpt.core import settings as settings_module
settings = settings_module.settings
monkeypatch.setattr(settings, "VECTOR_STORE", "pgvector", raising=False)
@@ -111,14 +111,14 @@ def stub_embeddings():
"""
stub = _StubEmbeddings()
with patch(
"application.vectorstore.base.get_embeddings", return_value=stub
"docsgpt.vectorstore.base.get_embeddings", return_value=stub
), patch(
"application.vectorstore.base.build_local_embeddings", return_value=stub
"docsgpt.vectorstore.base.build_local_embeddings", return_value=stub
), patch(
"application.vectorstore.model_registry.dimension_for",
"docsgpt.vectorstore.model_registry.dimension_for",
return_value=STUB_DIM,
), patch(
"application.vectorstore.base.BaseVectorStore._get_embeddings",
"docsgpt.vectorstore.base.BaseVectorStore._get_embeddings",
return_value=stub,
):
yield stub
@@ -150,9 +150,9 @@ class TestBootHookCreatesTheSchema:
wide = _WideStubEmbeddings()
with patch(
"application.vectorstore.base.get_embeddings", return_value=wide
"docsgpt.vectorstore.base.get_embeddings", return_value=wide
), patch(
"application.vectorstore.model_registry.dimension_for",
"docsgpt.vectorstore.model_registry.dimension_for",
return_value=wide.dimension,
):
with pytest.raises(RuntimeError) as excinfo:
@@ -165,7 +165,7 @@ class TestBootHookCreatesTheSchema:
def test_creates_graph_tables_when_graphrag_is_enabled(
self, live_dsn, postgresql, stub_embeddings, monkeypatch
):
from application.core import settings as settings_module
from docsgpt.core import settings as settings_module
monkeypatch.setattr(
settings_module.settings, "GRAPHRAG_ENABLED", True, raising=False