rename(547): the server is grimoire — package, image, DB defaults, backups

Step 2 of the Scribe -> Grimoire rename.

- src/scribe -> src/grimoire, and every import, patch target, module path,
  hypercorn entry point and `python -m grimoire.restore` with it; pyproject,
  uv.lock and the frontend package are named grimoire.
- Image git.fabledsword.com/bvandeusen/fabledgrimoire; CI's Postgres service
  runs as grimoire / grimoire_test.
- Compose files default the DB user, database and (prod) volume to grimoire,
  each overridable from .env, so an install created as Scribe keeps its data
  by setting POSTGRES_USER, POSTGRES_DB and PGDATA_VOLUME.
- Backups are written as grimoire-<ts>.tar with format grimoire-backup-tar.
  Archives named scribe-* with the scribe-backup-tar manifest still restore
  and are still counted at the destination (folder and S3), with tests.
- Exports, the MCP auth realm, the ASGI scope key and the persistent logger
  carry the new name.

Kept on purpose: the secret-sealing key label stays "scribe.secrets.v1",
because every stored secret was derived under it.

Plugin identity (plugin name, hooks, env vars, .scribe marker, skills) is
step 3.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

tests/test_integration_rule_scope.py

@@ -14,12 +14,12 @@ from unittest.mock import AsyncMock, MagicMock, patch
 import pytest
 import pytest_asyncio
 
-from scribe.models import async_session
-from scribe.models.embedding import EMBEDDING_DIM, RuleEmbedding
-from scribe.models.project import Project
-from scribe.models.share import ProjectShare
-from scribe.services import rulebooks as rulebooks_svc
-from scribe.services.embeddings import CHUNKER_VERSION, EMBEDDING_MODEL, semantic_search_rules
+from grimoire.models import async_session
+from grimoire.models.embedding import EMBEDDING_DIM, RuleEmbedding
+from grimoire.models.project import Project
+from grimoire.models.share import ProjectShare
+from grimoire.services import rulebooks as rulebooks_svc
+from grimoire.services.embeddings import CHUNKER_VERSION, EMBEDDING_MODEL, semantic_search_rules
 from tests.helpers import ensure_user
 
 pytestmark = [pytest.mark.integration, pytest.mark.usefixtures("_dispose_engine")]
@@ -46,7 +46,7 @@ async def homes():
         ids = {"owner": owner.id, "collaborator": collaborator.id, "a": a.id, "b": b.id}
         await s.commit()
 
-    with patch("scribe.services.rulebooks._refresh_rule_embedding", MagicMock()):
+    with patch("grimoire.services.rulebooks._refresh_rule_embedding", MagicMock()):
         book = await rulebooks_svc.create_rulebook(ids["owner"], "Scope house style")
         topic = await rulebooks_svc.create_topic(book.id, ids["owner"], "everywhere")
         glob = await rulebooks_svc.create_rule(
@@ -81,9 +81,9 @@ async def _found(user_id: int, **scope) -> set[int]:
     same."""
     report: dict = {}
     raised: list[str] = []
-    with patch("scribe.services.embeddings.get_embedding",
+    with patch("grimoire.services.embeddings.get_embedding",
                AsyncMock(return_value=QUERY_VEC)), \
-            patch("scribe.services.embeddings.logger") as log:
+            patch("grimoire.services.embeddings.logger") as log:
         # Called inside the except block, so the traceback is still current.
         log.warning.side_effect = lambda *_a, **_k: raised.append(traceback.format_exc())
         hits = await semantic_search_rules(user_id, "anything", limit=10,
@@ -139,7 +139,7 @@ async def test_an_in_scope_rule_is_found_however_many_closer_rules_are_out_of_sc
     mine_vec = [0.8, 0.6] + [0.0] * (EMBEDDING_DIM - 2)   # cosine 0.8
     books = []
     try:
-        with patch("scribe.services.rulebooks._refresh_rule_embedding", MagicMock()):
+        with patch("grimoire.services.rulebooks._refresh_rule_embedding", MagicMock()):
             book = await rulebooks_svc.create_rulebook(reader_id, "Reader's rules")
             books.append((book.id, reader_id))
             topic = await rulebooks_svc.create_topic(book.id, reader_id, "mine")