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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+27 -27
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@@ -51,9 +51,9 @@ from unittest.mock import MagicMock, patch
import pytest
from flask import Flask
from application.api.answer.routes.base import BaseAnswerResource
from application.api.answer.services.conversation_service import ConversationService
from application.api.v1.routes import v1_bp
from docsgpt.api.answer.routes.base import BaseAnswerResource
from docsgpt.api.answer.services.conversation_service import ConversationService
from docsgpt.api.v1.routes import v1_bp
# ---------------------------------------------------------------------------
@@ -215,9 +215,9 @@ def _wire_db(engine, monkeypatch):
so we hand out fresh connections from the same ephemeral engine and
swap the journal writer for a no-op.
"""
from application.api.answer.services import conversation_service as conv_mod
from application.api.answer.services import continuation_service as cont_mod
from application.api.answer.routes import base as base_mod
from docsgpt.api.answer.services import conversation_service as conv_mod
from docsgpt.api.answer.services import continuation_service as cont_mod
from docsgpt.api.answer.routes import base as base_mod
@contextmanager
def _session():
@@ -658,28 +658,28 @@ class TestV1ContinuationRoutesStatelessly:
yield MagicMock()
with patch(
"application.api.v1.routes._lookup_agent",
"docsgpt.api.v1.routes._lookup_agent",
return_value={"id": "agent-1", "name": "Agent", "user_id": "owner"},
), patch(
"application.api.v1.routes.ContinuationService.claim_state",
"docsgpt.api.v1.routes.ContinuationService.claim_state",
return_value=None,
), patch(
"application.api.v1.routes._conversation_belongs_to_agent",
"docsgpt.api.v1.routes._conversation_belongs_to_agent",
return_value=True,
), patch(
"application.api.v1.routes.translate_request",
"docsgpt.api.v1.routes.translate_request",
side_effect=_fake_translate,
), patch(
"application.api.v1.routes.StreamProcessor",
"docsgpt.api.v1.routes.StreamProcessor",
return_value=fake_processor,
), patch(
"application.api.v1.routes._V1AnswerHelper",
"docsgpt.api.v1.routes._V1AnswerHelper",
return_value=fake_helper,
), patch(
"application.api.v1.routes.db_readonly",
"docsgpt.api.v1.routes.db_readonly",
_yield_conn,
), patch(
"application.api.v1.routes.translate_response",
"docsgpt.api.v1.routes.translate_response",
return_value={"id": "x", "choices": []},
):
with app.test_client() as c:
@@ -767,22 +767,22 @@ class TestV1ContinuationRoutesStatelessly:
yield MagicMock()
with patch(
"application.api.v1.routes._lookup_agent",
"docsgpt.api.v1.routes._lookup_agent",
return_value={"id": "agent-1", "name": "Agent", "user_id": "owner"},
), patch(
"application.api.v1.routes.translate_request",
"docsgpt.api.v1.routes.translate_request",
side_effect=_fake_translate,
), patch(
"application.api.v1.routes.StreamProcessor",
"docsgpt.api.v1.routes.StreamProcessor",
return_value=fake_processor,
), patch(
"application.api.v1.routes._V1AnswerHelper",
"docsgpt.api.v1.routes._V1AnswerHelper",
return_value=fake_helper,
), patch(
"application.api.v1.routes.db_readonly",
"docsgpt.api.v1.routes.db_readonly",
_yield_conn,
), patch(
"application.api.v1.routes.translate_response",
"docsgpt.api.v1.routes.translate_response",
return_value={"id": "x", "choices": []},
):
with app.test_client() as c:
@@ -888,7 +888,7 @@ class _PauseThenAnswerAgent:
def _seed_agent(conn, user_id: str, key: str) -> None:
from application.storage.db.repositories.agents import AgentsRepository
from docsgpt.storage.db.repositories.agents import AgentsRepository
AgentsRepository(conn).create(user_id, "Weather Agent", "published", key=key)
@@ -902,8 +902,8 @@ def _wire_v1_route_db(engine, monkeypatch):
title-gen ``LLMCreator`` on the base module, so a real two-POST round-trip
runs entirely against the ephemeral Postgres with no live LLM/provider.
"""
from application.api.v1 import routes as v1_routes_mod
from application.api.answer.routes import base as base_mod
from docsgpt.api.v1 import routes as v1_routes_mod
from docsgpt.api.answer.routes import base as base_mod
@contextmanager
def _readonly():
@@ -1007,11 +1007,11 @@ class TestV1ToolRoundTripEndToEnd:
# ---- POST #1: user question -> agent pauses for the client tool ----
with _wire_v1_route_db(pg_engine, monkeypatch), patch(
"application.api.answer.services.stream_processor.StreamProcessor"
"docsgpt.api.answer.services.stream_processor.StreamProcessor"
".build_agent",
_fake_build_agent,
), patch(
"application.api.v1.routes._conversation_belongs_to_agent",
"docsgpt.api.v1.routes._conversation_belongs_to_agent",
return_value=True,
):
with app.test_client() as c:
@@ -1049,11 +1049,11 @@ class TestV1ToolRoundTripEndToEnd:
# ---- POST #2: tool result + conversation_id -> agent answers ----
with _wire_v1_route_db(pg_engine, monkeypatch), patch(
"application.api.answer.services.stream_processor.StreamProcessor"
"docsgpt.api.answer.services.stream_processor.StreamProcessor"
".build_agent",
_fake_build_agent,
), patch(
"application.api.v1.routes._conversation_belongs_to_agent",
"docsgpt.api.v1.routes._conversation_belongs_to_agent",
return_value=True,
):
with app.test_client() as c: