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 -9
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@@ -32,7 +32,8 @@ services:
backend:
user: root
build:
context: ../application
context: ..
dockerfile: docsgpt/Dockerfile
args:
# Optional extras to bake in (comma-separated): docling, milvus. The
# docling extra brings the layout-model parser/OCR backend and its
@@ -57,9 +58,9 @@ services:
ports:
- "7091:7091"
volumes:
- ../application/indexes:/app/indexes
- ../application/inputs:/app/inputs
- ../application/vectors:/app/vectors
- ../docsgpt/indexes:/app/indexes
- ../docsgpt/inputs:/app/inputs
- ../docsgpt/vectors:/app/vectors
depends_on:
redis:
condition: service_started
@@ -69,7 +70,8 @@ services:
worker:
user: root
build:
context: ../application
context: ..
dockerfile: docsgpt/Dockerfile
args:
EXTRAS: ${EXTRAS:-}
INSTALL_DOCLING: ${INSTALL_DOCLING:-false}
@@ -80,7 +82,7 @@ services:
# fails after EMBEDDINGS_DELEGATE_TIMEOUT, because EMBEDDINGS_DELEGATE_TO_WORKER
# is on by default. For heavy/OCR parsing run a separate worker with `-Q parsing`;
# to keep query latency off the ingest pool, another with `-Q embeddings`.
command: celery -A application.app.celery worker -l INFO -B -Q docsgpt,parsing,embeddings
command: celery -A docsgpt.app.celery worker -l INFO -B -Q docsgpt,parsing,embeddings
env_file:
- ../.env
environment:
@@ -91,9 +93,9 @@ services:
- CACHE_REDIS_URL=redis://redis:6379/2
- POSTGRES_URI=postgresql://docsgpt:docsgpt@postgres:5432/docsgpt
volumes:
- ../application/indexes:/app/indexes
- ../application/inputs:/app/inputs
- ../application/vectors:/app/vectors
- ../docsgpt/indexes:/app/indexes
- ../docsgpt/inputs:/app/inputs
- ../docsgpt/vectors:/app/vectors
depends_on:
redis:
condition: service_started