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.

deployment/docker-compose-azure.yaml

@@ -26,7 +26,8 @@ services:
 
   backend:
     build:
-      context: ../application
+      context: ..
+      dockerfile: docsgpt/Dockerfile
       args:
         EXTRAS: ${EXTRAS:-}
         INSTALL_DOCLING: ${INSTALL_DOCLING:-false}
@@ -43,9 +44,9 @@ services:
     ports:
       - "7091:7091"
     volumes:
-      - ../application/indexes:/app/application/indexes
-      - ../application/inputs:/app/application/inputs
-      - ../application/vectors:/app/application/vectors
+      - ../docsgpt/indexes:/app/docsgpt/indexes
+      - ../docsgpt/inputs:/app/docsgpt/inputs
+      - ../docsgpt/vectors:/app/docsgpt/vectors
     depends_on:
       redis:
         condition: service_started
@@ -54,7 +55,8 @@ services:
 
   worker:
     build:
-      context: ../application
+      context: ..
+      dockerfile: docsgpt/Dockerfile
       args:
         EXTRAS: ${EXTRAS:-}
         INSTALL_DOCLING: ${INSTALL_DOCLING:-false}
@@ -62,7 +64,7 @@ services:
         # must set INSTALL_TESSERACT=true before rebuilding (see docker-compose.yaml).
         INSTALL_TESSERACT: ${INSTALL_TESSERACT:-false}
     # `parsing` queue carries read_document/parse_document; required for its await to resolve.
-    command: celery -A application.app.celery worker -l INFO -Q docsgpt,parsing,embeddings
+    command: celery -A docsgpt.app.celery worker -l INFO -Q docsgpt,parsing,embeddings
     env_file:
       - ../.env
     environment:

deployment/docker-compose-hub.yaml

@@ -44,9 +44,9 @@ 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
@@ -58,7 +58,7 @@ services:
     user: root
     image: arc53/docsgpt:${DOCSGPT_IMAGE_TAG:-develop}${DOCSGPT_IMAGE_VARIANT:-}
     # `parsing` queue carries read_document/parse_document; required for its await to resolve.
-    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:
@@ -68,9 +68,9 @@ 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

deployment/docker-compose-standalone.yaml

@@ -82,7 +82,7 @@ services:
     user: root
     # Consumes the default queue plus `parsing` (read_document) and `embeddings`
     # (query embedding); without the latter every search times out.
-    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:
       - path: .env
         required: false

deployment/docker-compose.yaml

@@ -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

deployment/k8s/deployments/docsgpt-deploy.yaml

@@ -42,7 +42,7 @@ spec:
             name: docsgpt-secrets
         env:
         - name: FLASK_APP
-          value: "application/app.py"
+          value: "docsgpt/app.py"
         - name: DEPLOYMENT_TYPE
           value: "cloud"
         - name: POSTGRES_URI
@@ -87,7 +87,7 @@ spec:
         image: arc53/docsgpt
         # `parsing` queue carries read_document/parse_document; required for its await to resolve.
         # For heavy/OCR parsing, run a separate deployment with `-Q parsing` (and GPU env).
-        command: ["celery", "-A", "application.app.celery", "worker", "-l", "INFO", "-n", "worker.%h", "-Q", "docsgpt,parsing,embeddings"]
+        command: ["celery", "-A", "docsgpt.app.celery", "worker", "-l", "INFO", "-n", "worker.%h", "-Q", "docsgpt,parsing,embeddings"]
         resources:
           limits:
             memory: "4Gi"

deployment/k8s/jobs/postgres-init-job.yaml

@@ -35,7 +35,7 @@ spec:
             name: docsgpt-secrets
         env:
         - name: FLASK_APP
-          value: "application/app.py"
+          value: "docsgpt/app.py"
         resources:
           limits:
             memory: "1Gi"

deployment/sandbox/README.md

@@ -190,7 +190,7 @@ Document reading no longer runs in this sandbox. The `read_document` tool and th
 workflow native-file extract branch enqueue a `parse_document` Celery task that
 parses the document **in the backend** (the `DOC_PARSER_ENGINE` parser — anydoc
 by default; Docling only when the optional
-`application/requirements-docling.txt` extra is installed) and awaits the
+`docsgpt/requirements-docling.txt` extra is installed) and awaits the
 result. The task is routed to a
 dedicated **`parsing` queue** (`settings.DOCUMENT_PARSE_QUEUE`, default
 `"parsing"`) so a parse enqueued from inside a Celery worker (headless/scheduled
@@ -199,7 +199,7 @@ agent) is served by a separate worker and never self-deadlocks the awaiting one.
 Run a dedicated parsing worker that consumes the `parsing` queue:
 
 ```bash
-celery -A application.app.celery worker -Q parsing -l INFO
+celery -A docsgpt.app.celery worker -Q parsing -l INFO
 ```
 
 It takes its own env, so parse-heavy work runs on a separate, optionally larger
@@ -214,7 +214,7 @@ and leaves this worker light.
 worker must also consume `parsing`, or the tool's await never resolves:
 
 ```bash
-celery -A application.app.celery worker -Q docsgpt,parsing,embeddings -l INFO
+celery -A docsgpt.app.celery worker -Q docsgpt,parsing,embeddings -l INFO
 ```
 
 Tuning settings: `DOCUMENT_PARSE_TIMEOUT` (seconds the tool awaits before