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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+21 -21
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@@ -10,16 +10,16 @@ from types import SimpleNamespace
import pytest
from application.agents.workflow_agent import WorkflowAgent
from application.agents.workflows.cel_evaluator import evaluate_cel
from application.agents.workflows.schemas import (
from docsgpt.agents.workflow_agent import WorkflowAgent
from docsgpt.agents.workflows.cel_evaluator import evaluate_cel
from docsgpt.agents.workflows.schemas import (
NodeType,
Workflow,
WorkflowEdge,
WorkflowGraph,
WorkflowNode,
)
from application.agents.workflows.workflow_engine import WorkflowEngine
from docsgpt.agents.workflows.workflow_engine import WorkflowEngine
def _engine() -> WorkflowEngine:
@@ -118,14 +118,14 @@ def patch_sandbox(monkeypatch):
return list(state["captured"])
monkeypatch.setattr(
"application.sandbox.sandbox_creator.SandboxCreator.get_manager", _get_manager
"docsgpt.sandbox.sandbox_creator.SandboxCreator.get_manager", _get_manager
)
monkeypatch.setattr(
"application.sandbox.artifacts_capture.snapshot_signatures",
"docsgpt.sandbox.artifacts_capture.snapshot_signatures",
lambda *a, **k: state.__setitem__("snapshot_calls", state["snapshot_calls"] + 1) or {},
)
monkeypatch.setattr(
"application.sandbox.artifacts_capture.capture_artifacts", _capture
"docsgpt.sandbox.artifacts_capture.capture_artifacts", _capture
)
state["manager_holder"] = manager_holder
return state
@@ -206,16 +206,16 @@ def test_execute_closes_run_session_once_at_end(monkeypatch):
"""The run-scoped sandbox session opened by a code node is closed once when execute() ends."""
manager = _FakeManager(_Result(ok=True, stdout="ok"))
monkeypatch.setattr(
"application.sandbox.sandbox_creator.SandboxCreator.get_manager", lambda: manager
"docsgpt.sandbox.sandbox_creator.SandboxCreator.get_manager", lambda: manager
)
monkeypatch.setattr(
"application.sandbox.sandbox_creator.SandboxCreator.peek_manager", lambda: manager
"docsgpt.sandbox.sandbox_creator.SandboxCreator.peek_manager", lambda: manager
)
monkeypatch.setattr(
"application.sandbox.artifacts_capture.snapshot_signatures", lambda *a, **k: {}
"docsgpt.sandbox.artifacts_capture.snapshot_signatures", lambda *a, **k: {}
)
monkeypatch.setattr(
"application.sandbox.artifacts_capture.capture_artifacts", lambda *a, **k: []
"docsgpt.sandbox.artifacts_capture.capture_artifacts", lambda *a, **k: []
)
start = WorkflowNode(
@@ -354,7 +354,7 @@ def test_code_node_json_schema_merges_artifact_reference(patch_sandbox):
def test_code_node_timeout_clamped_to_cap(patch_sandbox, monkeypatch):
from application.core.settings import settings
from docsgpt.core.settings import settings
monkeypatch.setattr(settings, "SANDBOX_EXEC_TIMEOUT", 30, raising=False)
engine = _engine()
@@ -378,11 +378,11 @@ def test_materialize_code_inputs_rejects_oversize(monkeypatch):
"""A code-node input whose declared version ``size`` exceeds the cap raises before staging."""
from contextlib import contextmanager
from application.core.settings import settings
from docsgpt.core.settings import settings
monkeypatch.setattr(settings, "SANDBOX_MAX_INPUT_BYTES", 100, raising=False)
monkeypatch.setattr(
"application.agents.tools.artifact_ref.resolve_artifact_id",
"docsgpt.agents.tools.artifact_ref.resolve_artifact_id",
lambda repo, raw, **k: str(raw),
)
@@ -405,11 +405,11 @@ def test_materialize_code_inputs_rejects_oversize(monkeypatch):
raise AssertionError("bytes must not be read when declared size exceeds the cap")
monkeypatch.setattr(
"application.storage.db.repositories.artifacts.ArtifactsRepository", _Repo
"docsgpt.storage.db.repositories.artifacts.ArtifactsRepository", _Repo
)
monkeypatch.setattr("application.storage.db.session.db_readonly", _readonly)
monkeypatch.setattr("docsgpt.storage.db.session.db_readonly", _readonly)
monkeypatch.setattr(
"application.storage.storage_creator.StorageCreator.get_storage",
"docsgpt.storage.storage_creator.StorageCreator.get_storage",
staticmethod(lambda: _Storage()),
)
@@ -425,7 +425,7 @@ def test_materialize_code_inputs_dedupes_same_filename(monkeypatch):
from contextlib import contextmanager
monkeypatch.setattr(
"application.agents.tools.artifact_ref.resolve_artifact_id",
"docsgpt.agents.tools.artifact_ref.resolve_artifact_id",
lambda repo, raw, **k: str(raw),
)
@@ -451,11 +451,11 @@ def test_materialize_code_inputs_dedupes_same_filename(monkeypatch):
return io.BytesIO(path.encode())
monkeypatch.setattr(
"application.storage.db.repositories.artifacts.ArtifactsRepository", _Repo
"docsgpt.storage.db.repositories.artifacts.ArtifactsRepository", _Repo
)
monkeypatch.setattr("application.storage.db.session.db_readonly", _readonly)
monkeypatch.setattr("docsgpt.storage.db.session.db_readonly", _readonly)
monkeypatch.setattr(
"application.storage.storage_creator.StorageCreator.get_storage",
"docsgpt.storage.storage_creator.StorageCreator.get_storage",
staticmethod(lambda: _Storage()),
)