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