Chunk ids stop reflecting document order once incremental re-indexing keeps
unchanged rows across edits. Backfill preserves the historical id ordering
so behavior is identical on day one.
Covers the public cache surface against real Postgres and a real local file
backend (no mocks): recall miss, remember->recall vector/text/order round-trip,
the dimension-mismatch refusal, the repository SQL behind eviction and dedup
(size sum, coldest ordering, TTL cutoff, duplicate-key no-op, reuse counter),
and the blob store save/load round-trip and delete.
The cached payload is the indexing pipeline's embeddings (markdown is
chunked then embedded), so "embedding cache" names the expensive output
directly and removes the "index" ambiguity (DB index vs vector index vs
indexing phase). Renames the service, settings, eligibility, eviction
task, metrics, config flags (INDEX_CACHE_* -> EMBEDDING_CACHE_*), object
prefix, and the table (index_cache_embedding_sets -> embedding_cache_sets)
with its constraint and indexes. Migration 161 renamed accordingly.
Every file ingestion path (Dropbox, Google Drive / Composio Drive, OneDrive,
local folder, Obsidian, and the legacy upload handlers) now parses via the
extract_with_cache facade instead of calling EtlPipelineService.extract
directly, so identical bytes are deduplicated globally regardless of source.
vision_llm is passed through, keeping the existing cacheability gate intact.
Pin AUTH_TYPE=LOCAL (and REGISTRATION_ENABLED=TRUE) in the test bootstrap so
the email/password auth routers mount during integration tests regardless of a
developer's .env=GOOGLE; without this the upload tests 404 on registration.
Also update three tests to the current QuotaInsufficientError signature
(balance_micros) after used_micros/limit_micros were removed.
