mirror of
https://github.com/rennf93/roboco.git
synced 2026-08-03 07:23:24 +02:00
fix: journals/learnings never reached the RAG corpus + git-readonly slug 404s (#339)
* fix(rag): per-index chunk floors — journals and learnings were never indexed The global 200-char garbage floor (sized for code/doc chunks) discarded every templated journal note and most distilled org-memory lessons, silently: ingest returned success with zero chunks, so agent journals and learnings were never retrievable via RAG. IndexConfig now carries a per-type min_chunk_length (journals 40, learnings 80, others unchanged). * fix(mcp): git-readonly tools default project_slug from the container env Agents 404ed /api/git/status with 'Project not found: roboco' — the tools made the LLM supply the slug and six doc examples taught a slug that matches no registered project. The tools now fall back to the ROBOCO_PROJECT_SLUG the orchestrator already injects, and the stale examples are corrected. * feat(rag): startup backfill re-ingests zero-chunk journals and learnings Before the per-index chunk-floor fix, ingest() returned success with chunk_count=0 for undersized content: every historical journal entry and distilled learning below the (then-global) 200-char floor was durably recorded in journal_entries but silently never got a chunks_journals / chunks_learnings row, and no exception meant the existing dead-letter (rag_index_failures) never saw it either. Extends the startup reconcile (roboco/api/app.py _reconcile_rag_indexes) with a new pass: backfill_unindexed_journals (roboco/services/ rag_index_failures.py) queries journal_entries for rows missing from each vector table and re-ingests them through the same live code paths (_reindex_journal_entry / record_learning). Journals and learnings are backfilled independently since a LEARNING entry can clear the (lower) JOURNALS floor while still failing the (higher) LEARNINGS floor — a learning's doc_source is a content hash, not the entry id, so presence there is checked by hashing each candidate the same way LearningsIndexPlugin.record_learning does and batch-querying chunks_learnings for those exact sources. Bounded to 200 rows per pass per boot (converges over restarts on a larger backlog) and best-effort per row (one failure never aborts the pass). Rows still under the current floor are excluded by a length filter in the SELECT so they are never retried forever, and private entries are excluded from the JOURNALS pass exactly like the live indexing path. * test(rag): scope backfill assertions to their own rows --------- Co-authored-by: Renn F <rennf93@users.noreply.github.com>
This commit is contained in:
Renzo F
@@ -0,0 +1,86 @@
|
||||
"""Per-index-type chunk-length floor — journals/learnings are short by
|
||||
design (templated notes, distilled lessons) and were always discarded by
|
||||
the global 200-char garbage filter ("All chunks filtered as garbage",
|
||||
raw_count=1 on every journal write). Journals get a 40-char floor,
|
||||
learnings an 80-char floor; every other index keeps the 200-char default.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from roboco.models.optimal import IndexType
|
||||
from roboco.services.optimal_brain.indexes.base import (
|
||||
_MIN_CHUNK_LENGTH,
|
||||
IndexConfig,
|
||||
_filter_quality_chunks,
|
||||
)
|
||||
from roboco.services.optimal_brain.text_chunker import Chunk
|
||||
|
||||
# Named constants — ruff PLR2004 forbids magic-number comparisons.
|
||||
_JOURNALS_FLOOR = 40
|
||||
_LEARNINGS_FLOOR = 80
|
||||
_DEFAULT_FLOOR = _MIN_CHUNK_LENGTH # 200
|
||||
|
||||
|
||||
def _chunk(text: str) -> Chunk:
|
||||
return Chunk(text=text, source="roboco://journals/entry-1")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# IndexConfig.from_settings — per-index-type floor
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_journals_config_lowers_floor_to_40() -> None:
|
||||
assert IndexConfig.from_settings(IndexType.JOURNALS).min_chunk_length == (
|
||||
_JOURNALS_FLOOR
|
||||
)
|
||||
|
||||
|
||||
def test_learnings_config_lowers_floor_to_80() -> None:
|
||||
assert IndexConfig.from_settings(IndexType.LEARNINGS).min_chunk_length == (
|
||||
_LEARNINGS_FLOOR
|
||||
)
|
||||
|
||||
|
||||
def test_other_index_keeps_default_floor() -> None:
|
||||
assert IndexConfig.from_settings(IndexType.DOCUMENTATION).min_chunk_length == (
|
||||
_DEFAULT_FLOOR
|
||||
)
|
||||
assert IndexConfig.from_settings(IndexType.CODE).min_chunk_length == _DEFAULT_FLOOR
|
||||
assert IndexConfig(persist_dir="/tmp/idx").min_chunk_length == _DEFAULT_FLOOR
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _filter_quality_chunks — the actual gate
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_120_char_journal_chunk_passes_journals_floor() -> None:
|
||||
text = (
|
||||
"Reflected on task rate-limiter-fix: fixed the off-by-one boundary "
|
||||
"check in the 429 threshold and added a regression test."
|
||||
)
|
||||
assert len(text) >= _JOURNALS_FLOOR * 3
|
||||
kept = _filter_quality_chunks([_chunk(text)], min_chunk_length=_JOURNALS_FLOOR)
|
||||
assert len(kept) == 1
|
||||
|
||||
|
||||
def test_150_char_chunk_still_fails_default_200_floor() -> None:
|
||||
text = "x" * (_DEFAULT_FLOOR - 50)
|
||||
kept = _filter_quality_chunks([_chunk(text)], min_chunk_length=_DEFAULT_FLOOR)
|
||||
assert kept == []
|
||||
|
||||
|
||||
def test_default_index_behavior_unchanged_no_arg() -> None:
|
||||
"""Omitting min_chunk_length keeps the historical 200-char behavior."""
|
||||
short = _chunk("x" * (_DEFAULT_FLOOR - 50))
|
||||
long_enough = _chunk("x" * (_DEFAULT_FLOOR + 50))
|
||||
assert _filter_quality_chunks([short]) == []
|
||||
assert _filter_quality_chunks([long_enough]) == [long_enough]
|
||||
|
||||
|
||||
def test_markdown_only_chunk_still_filtered_at_lowered_floor() -> None:
|
||||
"""A 40-char chunk that's mostly ``` / --- / # formatting is still junk."""
|
||||
text = "#" * (_JOURNALS_FLOOR // 2) + "-" * (_JOURNALS_FLOOR // 2)
|
||||
kept = _filter_quality_chunks([_chunk(text)], min_chunk_length=_JOURNALS_FLOOR)
|
||||
assert kept == []
|
||||
@@ -0,0 +1,505 @@
|
||||
"""DB-backed tests for the journals/learnings zero-chunk RAG backfill.
|
||||
|
||||
Before the per-index chunk-floor fix, ``ingest()`` returned success with
|
||||
``chunk_count=0`` for undersized content, so historical journal entries and
|
||||
learnings were durably recorded in ``journal_entries`` but never landed a row
|
||||
in the vector store. These tests exercise the REAL SQL against a real
|
||||
Postgres (`db_session`, see tests/conftest.py) — the JOIN/floor/ANY(...)
|
||||
logic can't be verified with a mocked session. ``optimal`` itself is mocked
|
||||
(index_journal_entry / record_learning) since the embedder is out of scope.
|
||||
|
||||
Run with: ROBOCO_TEST_DB_PORT=55432 ROBOCO_TEST_DB_USER=renzof pytest ...
|
||||
|
||||
``db_session`` rolls back at the end of each test, so nothing THIS file seeds
|
||||
leaks between its own tests. But the DB itself is session-scoped for the
|
||||
whole pytest run, and other test files commit real journal/learning rows
|
||||
against it (e.g. via gateway note-writing tests) — a full-suite / CI run can
|
||||
start this file's tests with a non-empty ``journal_entries`` table. Every
|
||||
assertion below is therefore scoped to the specific rows a test creates
|
||||
(by entry_id or by a uniquified content string), never to a global
|
||||
processed/remaining count — except the cap test, which measures the
|
||||
pre-existing "stray" candidate count first and sizes the cap around it.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import hashlib
|
||||
from typing import TYPE_CHECKING, Any
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
from uuid import UUID, uuid4
|
||||
|
||||
import pytest
|
||||
import pytest_asyncio
|
||||
from roboco.db.tables import AgentTable, JournalEntryTable, JournalTable
|
||||
from roboco.models.base import AgentRole, AgentStatus, JournalEntryType, Team
|
||||
from roboco.services import rag_index_failures as rif
|
||||
from sqlalchemy import text
|
||||
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from roboco.models.optimal import IndexJournalEntryParams
|
||||
from roboco.services.optimal_brain.indexes.learnings import RecordLearningParams
|
||||
|
||||
# Journals floor is 40, learnings floor is 80 (see optimal_brain/indexes/base.py).
|
||||
_LONG_CONTENT = "x" * 90 # clears both floors
|
||||
_MID_CONTENT = "y" * 50 # clears JOURNALS (40) but not LEARNINGS (80)
|
||||
_SHORT_CONTENT = "short" # clears neither floor
|
||||
|
||||
_TEST_CAP = 2 # how many of THIS test's own rows the cap test expects to fit
|
||||
|
||||
|
||||
def _unique_content(base: str) -> str:
|
||||
"""A floor-clearing content string that can't collide with another
|
||||
test's stray committed row, so hash/content-keyed presence checks stay
|
||||
deterministic under DB pollution."""
|
||||
return f"{base}-{uuid4().hex[:8]}"
|
||||
|
||||
|
||||
@pytest_asyncio.fixture(scope="session", loop_scope="session", autouse=True)
|
||||
async def _chunks_tables(_test_database_url: str) -> None:
|
||||
"""Create minimal chunks_journals/chunks_learnings tables once.
|
||||
|
||||
VectorStore normally provisions these (id, content, source, embedding,
|
||||
metadata, tsv); the backfill queries only touch ``source``, so a minimal
|
||||
shape is enough. Created via a throwaway engine so the DDL commits
|
||||
outside any per-test rolled-back transaction.
|
||||
"""
|
||||
engine = create_async_engine(_test_database_url, future=True)
|
||||
try:
|
||||
async with engine.begin() as conn:
|
||||
await conn.execute(
|
||||
text(
|
||||
"CREATE TABLE IF NOT EXISTS chunks_journals "
|
||||
"(id serial primary key, source text not null)"
|
||||
)
|
||||
)
|
||||
await conn.execute(
|
||||
text(
|
||||
"CREATE TABLE IF NOT EXISTS chunks_learnings "
|
||||
"(id serial primary key, source text not null)"
|
||||
)
|
||||
)
|
||||
finally:
|
||||
await engine.dispose()
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def _redirect_db_context(
|
||||
monkeypatch: pytest.MonkeyPatch, db_session: AsyncSession
|
||||
) -> None:
|
||||
"""Make get_db_context() (used inside the backfill functions) reuse the
|
||||
test's own session/transaction, so uncommitted seed rows are visible
|
||||
(read-your-own-writes) without needing an explicit commit + rollback of
|
||||
the whole test DB's shared tables between tests."""
|
||||
|
||||
class _Ctx:
|
||||
async def __aenter__(self) -> AsyncSession:
|
||||
return db_session
|
||||
|
||||
async def __aexit__(self, *_a: object) -> None:
|
||||
return None
|
||||
|
||||
monkeypatch.setattr(rif, "get_db_context", _Ctx)
|
||||
|
||||
|
||||
@pytest_asyncio.fixture
|
||||
async def _journal(db_session: AsyncSession) -> UUID:
|
||||
"""Seed one agent + its journal; returns the journal id."""
|
||||
agent = AgentTable(
|
||||
id=uuid4(),
|
||||
name="Backfill Test Agent",
|
||||
slug=f"backfill-{uuid4().hex[:8]}",
|
||||
role=AgentRole.DEVELOPER,
|
||||
team=Team.BACKEND,
|
||||
status=AgentStatus.ACTIVE,
|
||||
model_config={},
|
||||
system_prompt="x",
|
||||
capabilities=[],
|
||||
permissions={},
|
||||
metrics={},
|
||||
)
|
||||
db_session.add(agent)
|
||||
await db_session.flush()
|
||||
journal = JournalTable(id=uuid4(), agent_id=agent.id)
|
||||
db_session.add(journal)
|
||||
await db_session.flush()
|
||||
return UUID(str(journal.id))
|
||||
|
||||
|
||||
async def _seed_entry(
|
||||
db_session: AsyncSession,
|
||||
journal_id: UUID,
|
||||
content: str,
|
||||
*,
|
||||
entry_type: JournalEntryType = JournalEntryType.GENERAL,
|
||||
is_private: bool = False,
|
||||
) -> UUID:
|
||||
entry = JournalEntryTable(
|
||||
id=uuid4(),
|
||||
journal_id=journal_id,
|
||||
type=entry_type,
|
||||
title="t",
|
||||
content=content,
|
||||
is_private=is_private,
|
||||
tags=[],
|
||||
)
|
||||
db_session.add(entry)
|
||||
await db_session.flush()
|
||||
return UUID(str(entry.id))
|
||||
|
||||
|
||||
async def _insert_chunk(db_session: AsyncSession, table: str, source: str) -> None:
|
||||
await db_session.execute(
|
||||
text(f"INSERT INTO {table} (source) VALUES (:s)"), {"s": source}
|
||||
)
|
||||
|
||||
|
||||
def _optimal(**overrides: Any) -> MagicMock:
|
||||
optimal = MagicMock()
|
||||
optimal.is_index_registered = MagicMock(return_value=True)
|
||||
optimal.index_journal_entry = AsyncMock()
|
||||
optimal.record_learning = AsyncMock()
|
||||
for key, value in overrides.items():
|
||||
setattr(optimal, key, value)
|
||||
return optimal
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _backfill_journals
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_journals_selects_only_zero_chunk_entries(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""An entry with an existing chunks_journals row is left alone; one with
|
||||
none is re-ingested. Scoped to these two entry_ids since a polluted DB
|
||||
may carry other zero-chunk stray rows the pass also processes."""
|
||||
missing_id = await _seed_entry(db_session, _journal, _LONG_CONTENT)
|
||||
present_id = await _seed_entry(db_session, _journal, _LONG_CONTENT)
|
||||
await _insert_chunk(
|
||||
db_session, "chunks_journals", f"roboco://journals/{present_id}"
|
||||
)
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_journals(optimal)
|
||||
|
||||
called_ids = {
|
||||
c.args[0].entry_id for c in optimal.index_journal_entry.await_args_list
|
||||
}
|
||||
assert missing_id in called_ids
|
||||
assert present_id not in called_ids
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_journals_excludes_private_entries(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""A private entry is never a candidate — it's deliberately excluded
|
||||
from the shared JOURNALS corpus, not a pending backlog item."""
|
||||
private_id = await _seed_entry(db_session, _journal, _LONG_CONTENT, is_private=True)
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_journals(optimal)
|
||||
|
||||
called_ids = {
|
||||
c.args[0].entry_id for c in optimal.index_journal_entry.await_args_list
|
||||
}
|
||||
assert private_id not in called_ids
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_journals_excludes_sub_floor_entries(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""Content still under the JOURNALS floor would zero-chunk again — the
|
||||
SELECT excludes it so it is never retried forever."""
|
||||
short_id = await _seed_entry(db_session, _journal, _SHORT_CONTENT)
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_journals(optimal)
|
||||
|
||||
called_ids = {
|
||||
c.args[0].entry_id for c in optimal.index_journal_entry.await_args_list
|
||||
}
|
||||
assert short_id not in called_ids
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_journals_respects_cap(
|
||||
db_session: AsyncSession, _journal: UUID, monkeypatch: pytest.MonkeyPatch
|
||||
) -> None:
|
||||
"""The per-boot cap bounds how many rows a single pass fetches.
|
||||
|
||||
A polluted DB's stray zero-chunk rows sort first (earliest created_at)
|
||||
and spend part of the cap before this test's own rows do. So: measure
|
||||
the stray count with an unbounded pass first (mocked — nothing is
|
||||
actually written to chunks_journals), then size the cap to exactly
|
||||
`strays + _TEST_CAP` and seed one row more than that budget covers.
|
||||
Only _TEST_CAP of this test's own rows can then fit.
|
||||
"""
|
||||
monkeypatch.setattr(rif, "_BACKFILL_CAP", 1_000_000)
|
||||
strays, _ = await rif._backfill_journals(_optimal())
|
||||
|
||||
own_ids = [
|
||||
await _seed_entry(db_session, _journal, _LONG_CONTENT)
|
||||
for _ in range(_TEST_CAP + 1)
|
||||
]
|
||||
|
||||
monkeypatch.setattr(rif, "_BACKFILL_CAP", strays + _TEST_CAP)
|
||||
optimal = _optimal()
|
||||
processed, _remaining = await rif._backfill_journals(optimal)
|
||||
|
||||
assert processed == strays + _TEST_CAP
|
||||
called_ids = {
|
||||
c.args[0].entry_id for c in optimal.index_journal_entry.await_args_list
|
||||
}
|
||||
assert len(called_ids & set(own_ids)) == _TEST_CAP
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_journals_tolerates_failing_row(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""One row's re-index failure never aborts the rest of the pass — the
|
||||
fake ingest rejects THIS test's own fail_id specifically (by entry_id),
|
||||
so the proof holds regardless of how many stray rows are also in play."""
|
||||
fail_id = await _seed_entry(db_session, _journal, _LONG_CONTENT)
|
||||
ok_id = await _seed_entry(db_session, _journal, _LONG_CONTENT)
|
||||
succeeded: set[UUID] = set()
|
||||
|
||||
async def _index(params: IndexJournalEntryParams) -> None:
|
||||
if params.entry_id == fail_id:
|
||||
raise RuntimeError("ollama down")
|
||||
succeeded.add(params.entry_id)
|
||||
|
||||
optimal = _optimal(index_journal_entry=AsyncMock(side_effect=_index))
|
||||
await rif._backfill_journals(optimal)
|
||||
|
||||
called_ids = {
|
||||
c.args[0].entry_id for c in optimal.index_journal_entry.await_args_list
|
||||
}
|
||||
assert fail_id in called_ids
|
||||
assert ok_id in succeeded
|
||||
assert fail_id not in succeeded
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_journals_noop_when_index_not_registered(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""A JOURNALS plugin that never initialized is skipped, not errored."""
|
||||
await _seed_entry(db_session, _journal, _LONG_CONTENT)
|
||||
optimal = _optimal(is_index_registered=MagicMock(return_value=False))
|
||||
|
||||
processed, remaining = await rif._backfill_journals(optimal)
|
||||
|
||||
assert (processed, remaining) == (0, 0)
|
||||
optimal.index_journal_entry.assert_not_awaited()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _backfill_learnings
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_learnings_selects_only_missing_from_chunks_learnings(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""A LEARNING entry already present in chunks_journals (lower floor) can
|
||||
still be missing from chunks_learnings (higher floor) — the two passes
|
||||
check presence independently. Content is uniquified so this test's own
|
||||
row can't be shadowed by a stray row of identical content."""
|
||||
content = _unique_content(_LONG_CONTENT)
|
||||
entry_id = await _seed_entry(
|
||||
db_session, _journal, content, entry_type=JournalEntryType.LEARNING
|
||||
)
|
||||
# Already indexed into JOURNALS — irrelevant to the LEARNINGS check.
|
||||
await _insert_chunk(db_session, "chunks_journals", f"roboco://journals/{entry_id}")
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_learnings(optimal)
|
||||
|
||||
calls_by_content = {
|
||||
c.args[0].content: c.args[0] for c in optimal.record_learning.await_args_list
|
||||
}
|
||||
assert content in calls_by_content
|
||||
assert calls_by_content[content].shareable is True
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_learnings_skips_already_present(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""A learning whose hashed source already has a chunks_learnings row is
|
||||
left alone."""
|
||||
content = _unique_content(_LONG_CONTENT)
|
||||
await _seed_entry(
|
||||
db_session, _journal, content, entry_type=JournalEntryType.LEARNING
|
||||
)
|
||||
await _insert_chunk(db_session, "chunks_learnings", rif._learning_source(content))
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_learnings(optimal)
|
||||
|
||||
called_contents = {
|
||||
c.args[0].content for c in optimal.record_learning.await_args_list
|
||||
}
|
||||
assert content not in called_contents
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_learnings_excludes_sub_floor_entries(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""Content between the JOURNALS floor and the (higher) LEARNINGS floor
|
||||
would zero-chunk again in LEARNINGS — excluded so it's never retried
|
||||
forever. The length-based SQL filter excludes it structurally, so this
|
||||
holds regardless of any other candidate rows in play."""
|
||||
await _seed_entry(
|
||||
db_session, _journal, _MID_CONTENT, entry_type=JournalEntryType.LEARNING
|
||||
)
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_learnings(optimal)
|
||||
|
||||
called_contents = {
|
||||
c.args[0].content for c in optimal.record_learning.await_args_list
|
||||
}
|
||||
assert _MID_CONTENT not in called_contents
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_learnings_shareable_reflects_privacy(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""A private learning is still recorded, just non-shareable — mirrors
|
||||
the live _schedule_rag_index path."""
|
||||
content = _unique_content(_LONG_CONTENT)
|
||||
await _seed_entry(
|
||||
db_session,
|
||||
_journal,
|
||||
content,
|
||||
entry_type=JournalEntryType.LEARNING,
|
||||
is_private=True,
|
||||
)
|
||||
|
||||
optimal = _optimal()
|
||||
await rif._backfill_learnings(optimal)
|
||||
|
||||
calls_by_content = {
|
||||
c.args[0].content: c.args[0] for c in optimal.record_learning.await_args_list
|
||||
}
|
||||
assert content in calls_by_content
|
||||
assert calls_by_content[content].shareable is False
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_learnings_tolerates_failing_row(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""One row's re-index failure never aborts the rest of the pass — the
|
||||
fake ingest rejects THIS test's own fail_content specifically (by
|
||||
content), so the proof holds regardless of stray rows also in play."""
|
||||
fail_content = _unique_content(f"{_LONG_CONTENT}-fail")
|
||||
ok_content = _unique_content(f"{_LONG_CONTENT}-ok")
|
||||
await _seed_entry(
|
||||
db_session, _journal, fail_content, entry_type=JournalEntryType.LEARNING
|
||||
)
|
||||
await _seed_entry(
|
||||
db_session, _journal, ok_content, entry_type=JournalEntryType.LEARNING
|
||||
)
|
||||
succeeded: set[str] = set()
|
||||
|
||||
async def _record(params: RecordLearningParams) -> None:
|
||||
if params.content == fail_content:
|
||||
raise RuntimeError("ollama down")
|
||||
succeeded.add(params.content)
|
||||
|
||||
optimal = _optimal(record_learning=AsyncMock(side_effect=_record))
|
||||
await rif._backfill_learnings(optimal)
|
||||
|
||||
called_contents = {
|
||||
c.args[0].content for c in optimal.record_learning.await_args_list
|
||||
}
|
||||
assert fail_content in called_contents
|
||||
assert ok_content in succeeded
|
||||
assert fail_content not in succeeded
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_learnings_noop_when_index_not_registered(
|
||||
db_session: AsyncSession, _journal: UUID
|
||||
) -> None:
|
||||
"""A LEARNINGS plugin that never initialized is skipped, not errored."""
|
||||
await _seed_entry(
|
||||
db_session, _journal, _LONG_CONTENT, entry_type=JournalEntryType.LEARNING
|
||||
)
|
||||
optimal = _optimal(is_index_registered=MagicMock(return_value=False))
|
||||
|
||||
processed, remaining = await rif._backfill_learnings(optimal)
|
||||
|
||||
assert (processed, remaining) == (0, 0)
|
||||
optimal.record_learning.assert_not_awaited()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# _learning_source — must match LearningsIndexPlugin.record_learning exactly,
|
||||
# or the presence check can never find what the live path indexed.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_learning_source_matches_plugin_hash() -> None:
|
||||
content = "a distilled lesson"
|
||||
expected_hash = hashlib.md5(content.encode(), usedforsecurity=False).hexdigest()[
|
||||
:16
|
||||
]
|
||||
assert rif._learning_source(content) == f"roboco://learnings/lrn-{expected_hash}"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# backfill_unindexed_journals — orchestration + isolation between passes
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_unindexed_journals_isolates_pass_failures(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
"""A hard failure in one pass (e.g. lost DB connection) doesn't prevent
|
||||
the other pass from running."""
|
||||
monkeypatch.setattr(
|
||||
rif, "_backfill_journals", AsyncMock(side_effect=RuntimeError("db down"))
|
||||
)
|
||||
learnings_mock = AsyncMock(return_value=(3, 1))
|
||||
monkeypatch.setattr(rif, "_backfill_learnings", learnings_mock)
|
||||
|
||||
result = await rif.backfill_unindexed_journals(MagicMock())
|
||||
|
||||
assert result == {
|
||||
"journals_processed": 0,
|
||||
"journals_remaining": 0,
|
||||
"learnings_processed": 3,
|
||||
"learnings_remaining": 1,
|
||||
}
|
||||
learnings_mock.assert_awaited_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_unindexed_journals_returns_combined_counts(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
"""Happy path: both passes run and their counts are combined."""
|
||||
monkeypatch.setattr(rif, "_backfill_journals", AsyncMock(return_value=(2, 0)))
|
||||
monkeypatch.setattr(rif, "_backfill_learnings", AsyncMock(return_value=(1, 0)))
|
||||
|
||||
result = await rif.backfill_unindexed_journals(MagicMock())
|
||||
|
||||
assert result == {
|
||||
"journals_processed": 2,
|
||||
"journals_remaining": 0,
|
||||
"learnings_processed": 1,
|
||||
"learnings_remaining": 0,
|
||||
}
|
||||
Reference in New Issue
Block a user