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feat: database abstraction layer for Oracle 23ai support - #947

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@DK09876 DK09876 commented Apr 9, 2026 •

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Summary

  • Introduces DatabaseBackend / DatabaseConnection ABCs and SQLDialect ABC to decouple the engine from asyncpg/PostgreSQL, enabling Oracle 23ai as a second database backend
  • Full Oracle 23ai support: migrations, HNSW vector search, Oracle Text BM25, entity resolution, graph retrieval
  • All retrieval SQL moved into dialect abstraction — no more inline _is_pg checks
  • Worker poller refactored to use DatabaseBackend — Oracle now runs async worker/poller like PG
  • observation_sources junction table replaces dialect-specific source_memory_ids array queries
  • Automatic list partitioning on memory_units(bank_id) for Oracle partition pruning

What works on Oracle

  • Retain (single-item, batch sync, and async/background) — full fact extraction, entity resolution, chunking, embeddings
  • Recall — all 4 retrieval strategies: semantic (HNSW), BM25 (Oracle Text CONTAINS/SCORE), graph (link expansion), temporal
  • Reflect — disposition-aware reasoning using recalled memories
  • Bank/memory/document CRUD — all endpoints
  • Mental models — creation and async background refresh
  • Consolidation — background observation synthesis via async worker
  • MCP — all tools functional
  • Entities — extraction, linking, cooccurrences, fuzzy resolution (JSON_TABLE + UTL_MATCH)
  • Worker/Poller — async task claiming, execution, retry, and recovery
  • Batch API — async batch retain with worker processing

Benchmark results (2,000 items, cross-encoder reranker, 10 iterations)

Metric PostgreSQL (pg0 native) Oracle 23ai (Docker) Ratio
Mean 0.311s 0.408s 1.31x
p50 0.254s 0.356s 1.40x
p95 0.614s 0.743s 1.21x

Note: PG runs against pg0 (native/embedded) while Oracle runs in Docker, so the gap includes Docker virtualization overhead. CPU-bound phases (reranking, embedding) are identical across both backends. An apples-to-apples comparison (both in Docker or both native) would narrow the difference.

Resolved limitations (all items from original review)

All 5 items from the original "Known Limitations" section have been resolved:

  1. Worker poller decoupled from asyncpg — WorkerPoller now takes DatabaseBackend instead of asyncpg.Pool. All pool.execute/pool.fetch calls replaced with backend.acquire() + connection methods. PG-specific COUNT(*) FILTER replaced with portable SUM(CASE WHEN ...). Oracle uses BrokerTaskBackend for full async worker support.

  2. Entity resolver fuzzy matching — _resolve_entities_batch_oracle_fuzzy uses JSON_TABLE + UTL_MATCH.JARO_WINKLER_SIMILARITY for native Oracle fuzzy entity resolution.

  3. source_memory_ids array queries — New observation_sources junction table (PG alembic migration + Oracle DDL) replaces all dialect-specific array operators. PG's unnest()/&& and Oracle's JSON_TABLE queries both replaced with standard SQL joins. Dual-write to both source_memory_ids column and junction table during transition.

  4. Per-bank vector index isolation — Oracle memory_units table uses PARTITION BY LIST (bank_id) AUTOMATIC with ORGANIZATION NEIGHBOR PARTITIONS on the HNSW index. Oracle creates partitions per bank on INSERT and the optimizer prunes partitions on bank_id-scoped queries.

  5. Bulk insert optimization — Oracle uses executemany batch insert in bulk_insert_from_arrays().

Remaining work (follow-up PRs)

  • Multi-tenant schema isolation for Oracle — PG uses fully-qualified table names ("schema"."table") via fq_table(). Oracle would need ALTER SESSION SET CURRENT_SCHEMA or equivalent. Not blocking any single-tenant Oracle deployment.
  • fq_table() / _is_oracle() cleanup — 257 call sites still use backend checks in business logic. Too large for this PR, separate cleanup.

Key design decisions

  • Escape hatch: self._pool = backend.get_pool() keeps all existing PG consumers working unchanged during transition
  • No behavior change for PG: Pure refactor for PostgreSQL users — all existing SQL untouched
  • Lazy oracledb import: Oracle backend only imports python-oracledb when selected, no hard dependency
  • Dialect pattern: build_semantic_arm() / build_bm25_arm() / prepare_bm25_text() build complete UNION ALL subquery arms per database, eliminating all inline backend checks from retrieval.py
  • Junction table over JSON: observation_sources normalizes the source-observation relationship into standard SQL, eliminating the last major source of dialect-specific query rewrites
  • Automatic partitioning: Oracle's PARTITION BY LIST AUTOMATIC provides per-bank isolation without application-managed DDL — partitions are created on first INSERT per bank_id
  • Text index compatibility: CTXSYS.CONTEXT domain indexes don't support LOCAL on LIST partitioned tables (ORA-29845). Global text index works fine when created after partitioning. Migration drops and recreates text index during partition conversion for existing installs.

Test plan

  • Full PG test suite: 1805 passed, 82 skipped, 0 failed
  • Full Oracle integration suite: 60 passed, 0 failed
  • Lint passes (ruff check, ruff format)
  • Oracle end-to-end: retain → consolidation → recall → reflect → mental models on Oracle 23ai Docker
  • Worker/poller tests updated for backend abstraction
  • Observation invalidation tests updated for junction table
  • Manual verification: partitioning active, all indexes VALID (including text + vector)

🤖 Generated with Claude Code

@DK09876
DK09876 force-pushed the feature/database-abstraction branch from ba92cd7 to 8cd903d Compare April 14, 2026 14:32
f" ORDER BY embedding <=> $1::vector"
f" LIMIT {hnsw_fetch})"
)
if not _is_pg:

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we should move this query code to a function of the abstraction and every impl has his own syntax.

all this if not _is_pg: are going to be a mess to maintain

@DK09876
DK09876 marked this pull request as ready for review April 15, 2026 20:29
DK09876 and others added 6 commits April 17, 2026 06:50
Introduce DatabaseBackend ABC and SQLDialect ABC to decouple the engine
from asyncpg/PostgreSQL, enabling Oracle 23ai as a second database platform.

- engine/db/: DatabaseBackend (pool lifecycle), DatabaseConnection (query execution), ResultRow (uniform row access)
- engine/db/postgresql.py: asyncpg implementation
- engine/db/oracle.py: python-oracledb implementation (thin mode)
- engine/sql/: SQLDialect ABC with 20+ dialect methods (params, vector ops, JSON, upsert, FTS, etc.)
- engine/sql/postgresql.py: PG dialect ($N, <=>, @>, unnest, ON CONFLICT, etc.)
- engine/sql/oracle.py: Oracle dialect (:N, MERGE INTO, VECTOR_DISTANCE, JSON_MERGEPATCH, etc.)
- config.py: HINDSIGHT_API_DATABASE_BACKEND env var (default: postgresql)
- memory_engine.py: uses DatabaseBackend.initialize() instead of raw asyncpg.create_pool(); exposes get_pool() for backward compat
- 52 unit tests covering all abstractions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
22 tests exercising OracleBackend + OracleDialect abstractions:
- Pool lifecycle (initialize, acquire, shutdown)
- Transaction commit/rollback semantics
- All DatabaseConnection methods (execute, executemany, fetch, fetchrow, fetchval)
- ResultRow dict-like access on real Oracle rows
- Vector insert + VECTOR_DISTANCE cosine search
- JSON insert/extract/MERGEPATCH
- MERGE INTO upsert via dialect
- ILIKE via UPPER() dialect
- UTL_MATCH fuzzy similarity via dialect
- FOR UPDATE SKIP LOCKED
- OFFSET/FETCH FIRST pagination via dialect
- Concurrent pool operations
- Dialect SQL fragments accepted by real Oracle (SYS_GUID, SYSTIMESTAMP, GREATEST)

All skip cleanly when ORACLE_TEST_DSN is not set.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace raw asyncpg pool usage across all SQL-executing consumers with
the DatabaseBackend interface, enabling Oracle 23ai support without
changing business logic.

Key changes:
- memory_engine.py passes self._backend instead of self._pool to all
  consumers (orchestrator, entity_resolver, bank_utils, config_resolver,
  webhooks, file storage, task backend, audit logger)
- BudgetedPool updated to handle both DatabaseBackend and raw pool,
  with _wraps_backend marker for acquire_with_retry dispatch
- acquire_with_retry recognizes BudgetedPool via _wraps_backend attr
- WebhookManager uses conn-based queries instead of pool convenience methods
- consolidator, storage, task_backend, audit use acquire_with_retry
  instead of direct pool.acquire()/pool.execute()
- Oracle backend: transparent query rewriting ($N->:N, strip ::casts,
  NOW()->SYSTIMESTAMP), transaction support via savepoints, cursor fixes
- DatabaseConnection.copy_records_to_table with asyncpg native COPY
  override and executemany INSERT fallback for Oracle
- Oracle query rewriter tests and backend integration test fixes

1344 tests pass; all failures are Groq API rate limiting, not migration.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Move all Oracle-specific logic behind conn.backend_type dispatch so the
PostgreSQL path is entirely untouched when running on PG.

Key changes:
- engine/schema.py: centralized fq_table/fq_table_explicit with Oracle
  awareness (Oracle skips schema prefix since it uses ALTER SESSION)
- engine/db/base.py: backend_type property, bulk_insert_from_arrays
  method, capability flags (supports_partial_indexes, supports_bm25,
  supports_unnest, supports_pg_trgm) on DatabaseConnection/Backend
- engine/db/oracle.py: massive expansion (+782) with transparent
  PG→Oracle query rewriting, RETURNING INTO handling, UUID RAW(16)
  conversion, ANY() expansion, array-contains rewriting, executemany
  bulk insert
- entity_resolver, link_utils, fact_storage, chunk_storage, bank_utils:
  Oracle fallback paths using conn.backend_type dispatch
- search/retrieval, link_expansion_retrieval: Oracle-aware search CTE
  dispatch (no BM25, different vector distance syntax)
- task_backend, storage/postgresql, webhooks/manager, worker/poller,
  admin/cli: delegate to schema.py for table qualification
- api/http.py: use backend instead of raw pool throughout
- migrations_oracle.py: stub for Oracle DDL migrations
- tests/test_db_abstraction.py: updated for tuple return from
  _rewrite_pg_to_oracle

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… tests

Implement full Oracle DDL migrations (13 tables, 30+ indexes, HNSW vector
index, Oracle Text index), Oracle-specific graph retrieval using JSON_TABLE
for observation expansion, and query rewriter fixes for JSONB boolean
patterns and quoted identifiers.

Key changes:
- migrations_oracle.py: full idempotent DDL replacing the stub
- link_expansion_retrieval.py: Oracle graph retrieval via JSON_TABLE/ROW_NUMBER
- oracle.py: JSONB boolean rewrite, CTE MATERIALIZED strip, COALESCE fix
- retrieval.py: subquery alias fix for Oracle derived tables
- 49 Oracle integration tests + 10 HTTP integration tests (all passing)
- conftest.py: Oracle test fixtures, fixed import ordering

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Per PR review feedback, moved backend-specific retrieval query SQL from
inline if/else blocks in retrieval.py into build_semantic_arm(),
build_bm25_arm(), and prepare_bm25_text() methods on the SQLDialect ABC.
Each database (PostgreSQL, Oracle) now owns its own query arm construction,
eliminating all _is_pg checks from retrieval.py.

Also fixes two migration bugs:
- h3c4d5e6f7g8: CREATE TABLE IF NOT EXISTS was a no-op when mental_models
  already existed from the reflections rename chain, so v4 columns (subtype,
  description, etc.) were never added. Added idempotent ALTER TABLE ADD
  COLUMN IF NOT EXISTS for each column.
- o0j1k2l3m4n5: CHECK constraint restricted subtype to 'directive' only,
  but memory_engine.py creates mental models with subtype='pinned'. Updated
  constraint to allow both.

Other fixes:
- Added session-scoped test cleanup to drop accumulated per-bank vector
  indexes and truncate stale data from pg0 between test runs
- Fixed pg_trgm tests: MagicMock conn needs explicit backend_type="postgresql"
  to prevent Oracle dispatch path from triggering
- Added RewriteResult NamedTuple to replace bare tuple return from
  _rewrite_pg_to_oracle (per project coding standards)
- Added type hints to _resolve_entities_batch_oracle_fuzzy

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@DK09876
DK09876 force-pushed the feature/database-abstraction branch from 0535fcc to 4b57ee7 Compare April 17, 2026 13:53
DK09876 and others added 2 commits April 17, 2026 16:31
…st flakiness

Thread ops through the retain pipeline (orchestrator → link_creation →
link_utils) via DatabaseBackend.ops property, eliminating scattered
create_data_access_ops() calls. Fix 14 test failures caused by LLM
non-determinism (mock deterministic facts), stale pg0 state (stamp
migrations), missing backend.ops access (use DatabaseBackend instead
of raw Pool), and incorrect default assertions.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add test-api-oracle job that mirrors test-api but runs against an
Oracle 23ai Free container service. Only runs when the PR has the
"oracle-tests" label, so it's off by default and doesn't affect
normal CI. Uses pytest -m oracle marker to run Oracle-specific tests.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@DK09876 DK09876 added the oracle-tests Enable Oracle 23ai integration tests in CI label Apr 17, 2026
DK09876 and others added 17 commits April 17, 2026 20:51
Migration h3c4d5e6f7g8 used CREATE TABLE IF NOT EXISTS which was a
no-op on databases where mental_models already existed from the
reflections rename chain. The fix added to h3c4d5e6f7g8 (Step 4b)
only helps fresh databases — existing ones already have the migration
stamped as applied. This new migration adds the missing columns
idempotently for databases in that state.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add migration d5y6z7a8b9c0 to idempotently add missing columns to
  mental_models table for databases where h3c4d5e6f7g8 was already
  stamped as applied before the fix
- Remove redundant "Wait for Oracle" step in CI — services health
  check already ensures Oracle is ready before steps run

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The test-api-oracle CI job was failing because oracledb wasn't installed.
Added it as an optional 'oracle' dependency group and regenerated the
lockfile so --all-extras picks it up.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Oracle's VECTOR type requires automatic segment space management (ASSM).
The SYSTEM tablespace uses manual SSM, causing ORA-43853 on table creation.
Fix: create a dedicated tablespace with ASSM and a test user before running
Oracle tests. Also fix DSN format to use path-based service name.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The mental_models table in Oracle migrations was missing
structured_content and last_refreshed_source_query columns that
memory_engine.py actively reads/writes. This caused mental model
create/refresh to fail on Oracle.

The Oracle HTTP test for mental models was asserting
`status in (200, 500)` which silently accepted this failure.
Tightened to assert 200 so missing columns can't hide behind
lenient assertions again.

Also documented known PG-only code paths (task_backend, poller,
webhooks, audit, config_resolver) in the Oracle backend docstring.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
WorkerPoller and BrokerTaskBackend still use raw asyncpg pool APIs and
PG-specific SQL (FOR UPDATE SKIP LOCKED, ::jsonb, NOW(), etc). Starting
them on an Oracle backend would crash immediately.

Guard both the embedded worker (API startup) and standalone worker
(hindsight-worker command) to skip/exit on Oracle. Operations that
normally go through the async worker will run synchronously instead.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Move _get_mu_table() from PG/Oracle ops duplicates into DataAccessOps
  base class (DRY)
- Remove unnecessary getattr() fallback for conn.backend_type in
  retrieval.py — it's a guaranteed property on DatabaseConnection
- Promote _oracle_special set to _ORACLE_TEXT_SPECIAL frozenset class
  constant on OracleDialect (avoid recreation per call)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
BrokerTaskBackend queues tasks into async_operations for the WorkerPoller
to pick up, but the poller is disabled on Oracle (it uses raw asyncpg).
This meant mental model refresh, consolidation, and async retain would
be queued as "pending" but never executed.

Fix: use SyncTaskBackend on Oracle, which executes tasks inline in the
request. This matches what the test fixtures already do and ensures all
operations complete on Oracle, just synchronously rather than in the
background.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… test

- Restore getattr(conn, "backend_type", "postgresql") in retrieval.py
  so raw asyncpg connections (used in test_hnsw_indexes) don't crash
- Guard RETURNING→INTO rewrite to only apply on INSERT/UPDATE/DELETE,
  preventing false matches on SELECT queries
- Add _safe_cleanup helpers in Oracle tests to suppress ORA-00060
  deadlock errors during test teardown
- Add TestOracleEndToEnd::test_full_lifecycle that verifies the complete
  retain→recall→reflect→mental model refresh flow, checking final state
  (not just HTTP 200) to catch issues like the SyncTaskBackend bug

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Oracle's thin driver defaults short strings like '[]' to VARCHAR2,
which fails with ORA-00932 when the target column is CLOB (e.g. tags,
metadata). Detect JSON-shaped strings in _make_bind_params and use
setinputsizes to explicitly type them as DB_TYPE_CLOB.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
setinputsizes must run after _expand_any_lists — otherwise it registers
types for params that get removed during expansion, causing DPY-4008
"no bind placeholder" errors. Move CLOB typing to a separate method
called after expansion in each DML path.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Rewrite COALESCE(col, '[]'::jsonb) || :N::jsonb to use
  JSON_MERGEPATCH with TO_CLOB for CLOB column compatibility
- Escape Oracle Text reserved words (about, near, not, etc.) with
  curly braces in CONTAINS queries to prevent DRG-50901 parse errors
- Guard json.loads() calls for result_metadata/task_payload to handle
  Oracle's pre-parsed JSON dicts alongside PG strings
- Rewrite FOR SHARE → FOR UPDATE (Oracle doesn't support FOR SHARE)
- Fix e2e test: replace nonexistent DELETE memory endpoint with list
  assertion, use substantive content for reliable fact extraction

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Run Oracle CI tests sequentially (-n0) to prevent ORA-00060 deadlocks
  from concurrent transactions against the same Oracle Free container.
- Fix trigger column quoting: previous guard skipped quoting bare
  `trigger` in SELECT when `"trigger"` already appeared in JSON_VALUE.
  Use negative lookbehind/lookahead to quote only unquoted occurrences.
- Use direct delete_bank (not _safe_cleanup) in test_retain_and_delete_cycle
  so mid-test bank deletion failures aren't silently swallowed.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replace 6 explicit backend-type string checks in business logic with
polymorphic dispatch through DatabaseBackend methods:

- api/http.py: use backend.supports_worker_poller instead of config check
- worker/main.py: use backend.supports_worker_poller instead of config check
- memory_engine.py: use backend.run_migrations() for migration dispatch
- memory_engine.py: use backend.create_task_backend() for task backend selection
- memory_engine.py: use conn.parse_json() for JSON column normalization (6 sites)
- config.py: type database_backend as Literal["postgresql", "oracle"]
- db/__init__.py: refactor factories to use helper functions
- db/base.py: add supports_worker_poller, run_migrations(), create_task_backend(),
  parse_json() to DatabaseBackend/DatabaseConnection ABCs

No backend-type string checks remain in business logic files. They only
exist in the db/ and sql/ abstraction layer factories where they belong.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Resolves conflicts in:
- memory_engine.py: integrated statement_timeout init callback with
  backend.initialize() abstraction
- retrieval.py: added extra_where param to dialect build_semantic_arm()
  and build_bm25_arm() methods to support created_after/created_before
  time range filtering from main
- openapi.json: took main's version (0.5.4)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
DK09876 and others added 4 commits April 22, 2026 13:27
…a safety

1. Oracle rewriter: fix _UPSERT_RE regex to handle nested function calls
   in VALUES clause (e.g. COALESCE($7, NOW())). The previous regex used
   [^)]+ which broke on nested parentheses. Also added
   _split_respecting_parens() to correctly split values with nested calls.

2. Alembic: add merge migration e6f7g8h9i0j1 to unify two heads
   (8c6fa6f7230b from main, d5y6z7a8b9c0 from oracle branch).

3. task_backend.py: rephrase docstring to avoid false positive from
   test_sql_schema_safety (matched "INSERTed into async_operations").

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Oracle COALESCE + SYSTIMESTAMP type mismatch: when a NULL datetime
   bind param appears in COALESCE(:N, SYSTIMESTAMP), Oracle's thin driver
   defaults the NULL to VARCHAR2, causing ORA-00932. Fixed by detecting
   this pattern in _apply_clob_input_sizes and hinting the param as
   DB_TYPE_TIMESTAMP_TZ.

2. result_metadata JSON parsing: main added json.loads(row["result_metadata"])
   in list_operations which fails on Oracle where JSON columns return
   pre-parsed dicts. Replaced with conn.parse_json() for backend-agnostic
   handling.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ON_TABLE entity resolution

- Refactor OracleOps.insert_facts_batch from N row-by-row fetchval calls
  to single executemany with client-side UUID generation (single network
  round-trip)
- Replace PG-only unnest($2::text[]) in Oracle fuzzy entity resolution
  with native JSON_TABLE to expand entity texts into rows
- Add unit tests verifying column mapping correctness, SQL structure,
  data transformation, fallback behavior, and candidate grouping

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@DK09876 DK09876 closed this Apr 24, 2026
@DK09876 DK09876 reopened this Apr 24, 2026
@DK09876
DK09876 force-pushed the feature/database-abstraction branch from b476798 to 339dc97 Compare April 24, 2026 19:25
…ON_TABLE entity resolution

- Refactor OracleOps.insert_facts_batch from N row-by-row fetchval calls
  to single executemany with client-side UUID generation (single network
  round-trip)
- Replace PG-only unnest($2::text[]) in Oracle fuzzy entity resolution
  with native JSON_TABLE to expand entity texts into rows
- Add unit tests verifying column mapping correctness, SQL structure,
  data transformation, fallback behavior, and candidate grouping

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@DK09876
DK09876 force-pushed the feature/database-abstraction branch from 339dc97 to f47acd9 Compare April 24, 2026 19:30
DK09876 and others added 14 commits April 24, 2026 12:32
…document stats)

Merge origin/main into feature/database-abstraction. Resolves conflicts
by keeping DatabaseBackend abstraction while incorporating main's new
features: statement_timeout init, per-fact-type document counts, and
cancel_operation status guard.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Merge two alembic heads (oracle merge + cancelled status) created by
  merging main into the database-abstraction branch.
- Fix get_document query that used GROUP BY on CLOB columns which Oracle
  cannot handle. Rewrote with subquery for counts and portable CASE WHEN
  syntax instead of PG-specific FILTER (WHERE ...).
- Add ty: ignore for Windows-only subprocess attrs in daemon_embed_manager.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Ruff reformatted a multi-line conditional to single line.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Phase 1: Refactor WorkerPoller from raw asyncpg pool to DatabaseBackend
abstraction. Oracle now uses BrokerTaskBackend (async worker/poller)
instead of SyncTaskBackend (inline). Portable SQL patterns replace
PG-specific COUNT(*) FILTER and pg_stat_activity.

Phase 2: Add observation_sources junction table replacing
source_memory_ids array/CLOB queries. Both PG and Oracle now use
identical standard SQL joins instead of dialect-specific unnest/&&
(PG) or JSON_TABLE (Oracle). Dual-write maintains backward compat.

Phase 3: Add automatic list partitioning on memory_units(bank_id)
for Oracle. Enables partition pruning on bank-scoped queries. HNSW
vector index uses ORGANIZATION NEIGHBOR PARTITIONS. Text index
(CTXSYS.CONTEXT) remains global — LOCAL not supported on LIST
partitioned tables.

All 5 Known Limitations from PR #947 review are now resolved:
1. Worker poller decoupled from asyncpg
2. Entity resolver (already done — JSON_TABLE + UTL_MATCH)
3. source_memory_ids array queries (junction table)
4. Per-bank vector index isolation (automatic partitioning)
5. Bulk insert optimization (already done — executemany)

Tests: 1805 PG passed, 60 Oracle passed, lint clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
OracleBackend.acquire() and transaction() now execute
ALTER SESSION SET CURRENT_SCHEMA before yielding connections,
matching PostgreSQL's search_path-based schema isolation.

fq_table() already returns bare table names for Oracle, relying
on this session-level setting. The migration infrastructure
already supported schema targeting (ALTER SESSION in
run_oracle_migrations). This closes the loop for runtime requests.

Removes the last Known Limitation from oracle.py.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… fixes

Oracle rejects FETCH FIRST with FOR UPDATE (ORA-02014), treating the
row-limiting clause as an inline view. The SQL rewriter now uses
ROWNUM in the WHERE clause when both LIMIT and FOR UPDATE are present.

Additional Oracle compatibility fixes discovered during E2E testing:
- Two-step consolidation claim to avoid FOR UPDATE + NOT EXISTS
- Remove AS keyword from table aliases (Oracle syntax)
- Handle JSON columns returned as dict (not string) by oracledb
- Add ::int to cast regex (was only matching ::integer)
- Fix schema guard for Oracle (backend_type check, not worker flag)

Verified: 60/60 Oracle integration tests, 1804/1804 PG tests pass,
full E2E lifecycle (retain→recall→reflect→mental models→consolidation)
confirmed on Oracle 23ai Docker.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Consolidate ~40 raw PG-specific SQL queries from business logic into the
DataAccessOps interface so both PostgreSQL and Oracle backends share a
clean contract.

- Phase 0: Remove 4 duplicate fq_table wrappers, use single import
- Phase 1: Add Backend.normalize_schema() (Oracle maps "public" → None)
- Phase 2: ConfigResolver accepts DatabaseBackend instead of asyncpg.Pool
- Phase 3: Webhook CRUD + delivery insertion moved to ops (7 new methods)
- Phase 4: Worker task claiming moved to ops.claim_tasks() — PG uses
  single-query FOR UPDATE SKIP LOCKED, Oracle uses two-step for ORA-02014
- Phase 5: Admin CLI documented as PG-only

Tests updated: worker fixtures use DatabaseBackend, config resolver and
webhook manager tests use backend instead of raw pool, new tests for
normalize_schema and fire_event_with_conn (including rollback behavior).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The oracle_memory conftest fixture now creates a dedicated HINDSIGHT_TEST
user with the USERS tablespace (ASSM) instead of running migrations as
SYSTEM. Oracle 23ai requires VECTOR columns in ASSM tablespaces, so
connecting as SYSTEM caused ORA-43853 for all integration/HTTP tests.

Also fixes test_oracle_backend_integration.py UUID assertion — the
abstraction layer normalizes RAW(16) to Python uuid.UUID objects, so
len(val) == 16 was wrong; now checks isinstance(val, uuid.UUID).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ests

The oracle_dsn/oracle_user/oracle_password fixtures read raw env vars
without URL parsing, so ORACLE_TEST_DSN=oracle://user:pass@host:port/svc
would be passed directly to oracledb.create_pool(dsn=...) and fail.
Added _parse_oracle_test_dsn() matching the conftest URL parsing logic.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…tions

- Add unique index on memory_links matching PG's idx_memory_links_unique
  so ON CONFLICT DO NOTHING duplicate suppression works on Oracle
- Add dedup migration step to handle pre-existing duplicate rows
- Move Oracle migrations to session scope (mirrors PG) for faster tests
- Fix thinking_budget → budget in HTTP integration tests (correct API field)
- Strengthen test assertions while keeping them resilient to LLM variability

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…zation

1. Config validation: detect missing local-ml deps at startup with a clear
   error message pointing users to `pip install hindsight-api[local-ml]`
   or remote provider env vars. Prevents cryptic ImportError deep in init.

2. Worker poller: gate PG-specific `schemas_with_pending_work()` call behind
   backend_type check. Previously fired on every Oracle poll cycle producing
   constant ORA-00904 errors and wasted round-trips.

3. Oracle datetime normalization: ensure fromisoformat() results are
   timezone-aware (UTC). Fixes "can't subtract offset-naive and
   offset-aware datetimes" in entity_resolver temporal scoring.
   Also expand timestamp column detection to include last_seen/event_date.

4. Strengthen test_large_content_chunking: assert >= 3 memory units from
   50-paragraph input and verify no failed async operations.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. list_document_chunks, get_entity_graph, get_memories_timeseries, and
   _refresh_mental_model all used _get_pool() (raw asyncpg pool) instead
   of _get_backend(). This caused 500 errors on Oracle because
   AsyncConnection has no fetchrow attribute. Switched all four to use
   the DatabaseBackend abstraction via _get_backend().

2. Oracle Text CONTAINS queries can fail with DRG-10599 when the CTXSYS
   text index hasn't synced or is unavailable. Added graceful fallback
   in retrieve_semantic_bm25_combined: catch Oracle Text errors and
   retry with semantic-only arms so search still returns results.

3. Added document chunks endpoint coverage to Oracle HTTP tests.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…binding

1. Oracle rewriter: add interval literal rewrite (interval '7 days' →
   NUMTODSINTERVAL(7, 'DAY')) and fix date_trunc to handle expressions
   like date_trunc('hour', col AT TIME ZONE 'UTC') by stripping AT
   TIME ZONE and matching non-trivial expressions.

2. Fix ORA-00932 in consolidation: NULL datetime params in COALESCE
   with timestamp columns (occurred_start, occurred_end, mentioned_at)
   now get explicit TIMESTAMP_TZ input sizes via setinputsizes.
   Previously Oracle defaulted NULL to VARCHAR2, causing type mismatch.

3. Config validation: downgrade missing local-ml check from ValueError
   to warning. The hard error broke tests that construct HindsightConfig
   without needing local embeddings.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@DK09876

DK09876 commented Apr 28, 2026

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Superseded by #1307 on rebased branch feature/database-abstraction-clean.

@DK09876 DK09876 closed this Apr 28, 2026
nepenth pushed a commit to nepenth/hindsight that referenced this pull request Aug 7, 2026
Phase 1: Refactor WorkerPoller from raw asyncpg pool to DatabaseBackend
abstraction. Oracle now uses BrokerTaskBackend (async worker/poller)
instead of SyncTaskBackend (inline). Portable SQL patterns replace
PG-specific COUNT(*) FILTER and pg_stat_activity.

Phase 2: Add observation_sources junction table replacing
source_memory_ids array/CLOB queries. Both PG and Oracle now use
identical standard SQL joins instead of dialect-specific unnest/&&
(PG) or JSON_TABLE (Oracle). Dual-write maintains backward compat.

Phase 3: Add automatic list partitioning on memory_units(bank_id)
for Oracle. Enables partition pruning on bank-scoped queries. HNSW
vector index uses ORGANIZATION NEIGHBOR PARTITIONS. Text index
(CTXSYS.CONTEXT) remains global — LOCAL not supported on LIST
partitioned tables.

All 5 Known Limitations from PR vectorize-io#947 review are now resolved:
1. Worker poller decoupled from asyncpg
2. Entity resolver (already done — JSON_TABLE + UTL_MATCH)
3. source_memory_ids array queries (junction table)
4. Per-bank vector index isolation (automatic partitioning)
5. Bulk insert optimization (already done — executemany)

Tests: 1805 PG passed, 60 Oracle passed, lint clean.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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