rename(547): the server is grimoire — package, image, DB defaults, backups
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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>
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@@ -16,11 +16,11 @@ import pytest
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import pytest_asyncio
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from sqlalchemy import delete
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from scribe.models import async_session
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from scribe.models.embedding import EMBEDDING_DIM, NoteEmbedding
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from scribe.models.note import Note
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from scribe.models.user import User
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from scribe.services.embeddings import semantic_search_notes
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from grimoire.models import async_session
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from grimoire.models.embedding import EMBEDDING_DIM, NoteEmbedding
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from grimoire.models.note import Note
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from grimoire.models.user import User
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from grimoire.services.embeddings import semantic_search_notes
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pytestmark = [pytest.mark.integration, pytest.mark.usefixtures("_dispose_engine")]
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@@ -33,7 +33,7 @@ def _vec(*nonzero_first):
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def _emb(note_id, user_id, chunk_index, vec):
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"""A chunk row at the current chunker version."""
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from scribe.services.embeddings import CHUNKER_VERSION, EMBEDDING_MODEL
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from grimoire.services.embeddings import CHUNKER_VERSION, EMBEDDING_MODEL
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return NoteEmbedding(
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note_id=note_id,
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@@ -83,7 +83,7 @@ async def seeded():
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async def test_semantic_search_ranks_and_thresholds_via_pgvector(seeded):
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user_id, near_id, far_id = seeded
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with patch(
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"scribe.services.embeddings.get_embedding",
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"grimoire.services.embeddings.get_embedding",
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AsyncMock(return_value=_vec(1.0)),
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):
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results = await semantic_search_notes(user_id=user_id, query="anything", limit=10)
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@@ -105,7 +105,7 @@ async def test_semantic_search_ranks_and_thresholds_via_pgvector(seeded):
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async def test_low_threshold_lets_orthogonal_through(seeded):
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user_id, near_id, far_id = seeded
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with patch(
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"scribe.services.embeddings.get_embedding",
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"grimoire.services.embeddings.get_embedding",
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AsyncMock(return_value=_vec(1.0)),
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):
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results = await semantic_search_notes(
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