Files
odysseus/tests
nsgds 7ae6133d7f fix(agent): don't let a materialized default budget defeat context-window scaling (#4122)
* fix(agent): don't let a materialized default budget defeat context scaling

#1230 scales agent_input_token_budget to the model's context window unless
the user explicitly set a budget, detected via is_setting_overridden(). But
the settings-save path materializes every DEFAULT_SETTINGS key into
settings.json (load_settings merges defaults; handlers persist the merged
dict), so the persisted default 6000 reads as "overridden" and the budget
code takes the min(6000, ctx) branch — silently re-capping long-context
models at 6000 for anyone who has ever saved a setting. This reintroduces
the exact regression #1170/#1230 set out to fix.

Add is_setting_customized() (saved value != default) and gate the scaling
on it instead of mere presence. A persisted default is not a user choice.

is_setting_overridden has exactly one consumer (this budget path), so the
change is contained. Tests cover the materialized-default regression, a
deliberately-chosen budget still being honoured, and the absent-key case.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(agent): rework context-budget fix per review (#4122)

Address RaresKeY's review:

P2 (explicitness): is_setting_customized treated a saved value equal to the
default as "not explicit", which ALSO blocked a user from deliberately pinning
the default budget. Reframe the default value itself as the AUTO sentinel —
agent_input_token_budget == DEFAULT_BUDGET means "scale to the model's context
window", any other value is an explicit cap. A materialized default still reads
as auto (fixing the original regression), and any non-default value the user
chooses is now honoured. Drop the now-unused is_setting_customized helper.

P2 (fallback context): auto-scaling trusted get_context_length() even when it
returned only the bare DEFAULT_CONTEXT fallback (no endpoint-reported / known
window), over-allocating on self-hosted/proxy setups. Add get_context_length_known()
(also returns whether the window was actually discovered); the budget block
passes 0 when unknown so auto-scaling stays conservative instead of inflating to
an unproven window.

hard_max stays auto-only — a deliberate explicit budget wins (#1190); kept that
contract and answered the reviewer's question rather than silently reversing it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* test(agent): lock the materialized-default budget regression (review on #4121)

Per WGlynn's review on the issue: add an end-to-end regression that saves an
UNRELATED setting (which makes the settings-save path materialize the budget
default into settings.json) and asserts the budget still auto-scales rather than
re-reading as an explicit 6000 cap — locking the exact reopening shut.

To make the test bite the production decision (not just re-derive it), extract
`budget_is_explicit()` into src/context_budget.py and use it from the agent loop.
It keys off value-vs-default (the default is the auto sentinel), NOT settings
presence — which is the whole point, since the save path materializes defaults.

Note: after this PR's rework, is_setting_overridden has ZERO production callers,
so the merged-dict materialization smell can't reach any setting through a
presence check today (WGlynn's durability concern).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(agent): bind the budget context window to its own provenance (review #4122)

RaresKeY caught a correctness bug in the fallback-context guard: stream_agent_loop
kept only the `known` flag from get_context_length_known() and budgeted off the
passed-in `context_length`, which can come from a *different* lookup. Two failures:
- local endpoints are re-queried, so the passed value can be a stale DEFAULT_CONTEXT
  fallback while the fresh probe proves the real (smaller) served context — we'd
  scale off the stale value;
- callers that don't pass context_length (scheduled tasks, teacher escalation,
  skill test runs, bg_monitor) were capped at 6000 even when a long window is
  discoverable.

Extract budget_context_for_model() which returns the freshly-probed window when
known else 0, binding the flag to the value it proves; the agent loop uses it.
Regression tests cover the stale-fallback, no-arg-caller, and probe-error paths.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(agent): fix stale budget comments + tighten to the contract (review #4122)

- settings.py: an explicit budget is clamped to the window only — hard_max is
  auto-only (#1190); drop the incorrect "and to hard_max".
- is_setting_overridden docstring: drop the stale "adaptive budgets" example;
  point value-sensitive callers at context_budget.budget_is_explicit.
- Tighten the budget-block comments to the contract (default = auto sentinel,
  non-default = explicit cap, hard_max = auto-only ceiling).

Comment/docstring-only; no behaviour change.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(agent): correct budget issue citations (#1190 → merged #1230/#1273)

The context-budget contract (auto-sentinel, explicit budgets honoured,
hard_max auto-only) merged via #1230#1190 was the earlier, closed,
superseded PR. Re-point the contract comments at #1230 (the live source,
already cited for the auto-sentinel two lines up in settings.py).

The configurable hard_max setting (`agent_input_token_hard_max`) was a
reviewer requirement first raised on #1190, omitted from the merged #1230,
and actually added in #1273 — credit #1273 for it and correct the test
comment's history (it previously implied this PR completed the requirement).

Comment/docstring-only; no behaviour change.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-15 15:17:28 +09:00
..
2026-05-31 23:58:26 +09:00
2026-06-01 02:22:17 +00:00
2026-05-31 23:58:26 +09:00

Test Suite Notes

Purpose

This file documents the shared test helpers and the review expectations that go with them. The suite is being refactored incrementally, so this is a working reference for that effort - not a claim that the suite is already fully organized. Read it before adding a new helper or before reviewing a PR that touches tests/helpers/.

For the broader rules - test taxonomy, determinism/isolation rules, the behavioral-vs-source-text policy, and helper/factory extraction rules - see TESTING_STANDARD.md. This file is the concrete helper reference; that file is the standard the refactor works toward.

Running focused subsets (taxonomy markers)

tests/conftest.py tags every test at collection time with two markers derived from its filename by tests/_taxonomy.py: an area_* marker (e.g. area_security) and a finer sub_* marker (e.g. sub_owner_scope). This adds markers only - it moves no files and changes no test behavior. Use them to run a focused slice:

python3 -m pytest -m area_security
python3 -m pytest -m "area_services and sub_cookbook"

Areas are security, routes, services, cli, js, helpers, unit, and uncategorized. Classification is conservative and token-based: a file that matches no area keyword falls back to area_uncategorized with its filename as the sub-area. The area_* names are registered in pyproject.toml; the dynamic sub_* names are registered before collection by pytest_configure in tests/conftest.py, so unknown-mark warnings still flag genuine typos.

For common focused runs, use tests/run_focus.py. It validates area and sub-area names, accepts sub-areas with or without the sub_ prefix, and passes extra pytest arguments after --:

python3 tests/run_focus.py --area security
python3 tests/run_focus.py --area services --sub-area cookbook
python3 tests/run_focus.py --sub-area sub_cookbook
python3 tests/run_focus.py --keyword taxonomy
python3 tests/run_focus.py --last-failed
python3 tests/run_focus.py --dry-run --area services --sub-area cookbook
python3 tests/run_focus.py --area services -- --maxfail=1 -q

Fast lane and duration visibility

--fast runs the fast lane: the tests that are not marked slow (it adds the marker expression not slow). It composes with --area/--sub-area using and. Because no tests may be marked slow yet, --fast can initially match the full focused selection; it becomes a real speed-up as slow marks are added from duration evidence. Use it for quick local or reviewer feedback; it does not replace broader focused or full-suite validation before merge.

--durations N and --durations-min FLOAT add pytest's slowest-test reporting so you can see where time goes. They are reporting only and do not count as a focus selector, so --durations must be combined with a real selector (--area, --sub-area, --keyword, --last-failed, or --fast).

Activate or otherwise use the project Python environment before running these commands. The examples use python3 intentionally to avoid hard-coding a local venv path.

python3 tests/run_focus.py --fast
python3 tests/run_focus.py --area services --fast
python3 tests/run_focus.py --area services --durations 25
python3 tests/run_focus.py --area services --fast --durations 25 --durations-min 0.05

The slow marker is opt-in. Mark a test slow only with duration evidence (from --durations), not by guessing - see the fast-lane policy in TESTING_STANDARD.md. --fast is for quick reviewer feedback and must not replace the full suite before merge. A slow mark only excludes a test from the fast lane; the test stays runnable directly, e.g.:

python3 -m pytest tests/test_auth_config_lock_concurrency.py
python3 -m pytest -m slow

Core principles

  • Keep PRs small and homogeneous: one kind of change per PR.
  • Prefer explicit local setup over hidden global fixtures.
  • Avoid expanding the root conftest.py unless absolutely necessary.
  • Do not mix file moves with logic changes in the same PR.
  • Do not weaken tests with skip/xfail just to make CI pass.
  • Validate the focused files you changed, plus any neighboring or order-sensitive groups they interact with.

Helper conventions

The helpers below live under tests/helpers/. They exist to remove repeated boilerplate that already appeared across multiple tests. Reach for one only when your test matches its intended use; do not stretch a helper to cover a new case.

tests.helpers.cli_loader.load_script

Use when a test needs to import a script under scripts/ without repeating SourceFileLoader / importlib.util boilerplate.

  • Intended for script/CLI tests that load a single file from scripts/.
  • Not for arbitrary package imports - use a normal import for those.
  • When migrating an existing test to it, keep the existing stubs and assertions unchanged. Any sys.modules stubs the script needs at import time must still be injected (e.g. via monkeypatch) before calling load_script.

tests.helpers.import_state.clear_module

Use when a test must drop one cached module and its parent-package attribute before a fresh import.

  • Clears sys.modules[name].
  • Clears the parent-package attribute when present.
  • Good replacement for local sys.modules.pop(...) + delattr(parent, child) blocks.

tests.helpers.import_state.preserve_import_state

Use when a test temporarily installs stubs into sys.modules and needs deterministic cleanup afterward.

  • Context manager: restores both sys.modules entries and parent-package attributes on exit (normal or exception).
  • Useful around module-level stubs or temporary imports.
  • Prefer narrow, explicit module names over broad ones.

tests.helpers.import_state.clear_fake_database_modules

Use only for the guarded fake/stub database cleanup pattern.

  • Preserves a real-looking core.database (one with a string __file__).
  • Removes a fake/stub core.database and the related src.database state.
  • Do not use as a general database reset fixture.

tests.helpers.import_state.clear_fake_endpoint_resolver_modules

Use only for the guarded fake/stub src.endpoint_resolver cleanup pattern.

  • Preserves real resolver modules (those with a truthy __file__).
  • Evicts fake/stub resolver modules and the dependent route modules that were cached against them.
  • Accepts explicit extra dependent module names to evict alongside the defaults.

tests.helpers.sqlite_db.make_temp_sqlite

Use for the repeated file-backed temp sqlite setup in tests.

  • Only constructs (SessionLocal, engine, tmpfile) from the repeated block.
  • Does not patch modules and does not clean up the temp file.
  • The caller must bind SessionLocal explicitly onto whatever module the code under test reads, and must keep the returned objects alive.
  • Do not use it as a general DB fixture framework.

tests.helpers.db_stubs.make_core_db_stub

Use for small import-time core.database stubs with a placeholder SessionLocal.

  • Pass model names via models when MagicMock attributes are sufficient.
  • Pass attributes when an import needs exact placeholder values.
  • Set install_core_package=True only when the test also needs a fake parent core module stub.
  • Keep custom fake sessions and route-specific database behavior local.

What not to abstract yet

Some remaining patterns should stay as-is for now rather than being forced into helpers:

  • Large mixed files such as security/review regression files.
  • Broad setup-oriented sys.modules stub installers.
  • One-off custom module patching.
  • Custom DB session, route, and app setup.

Validation expectations

Run validation locally before opening or approving a PR. Practical checks:

  • git diff --check - catch whitespace and conflict-marker errors.
  • python3 -m py_compile <changed files> - confirm changed files compile.
  • Focused pytest on the changed test files.
  • pytest on neighboring or order-sensitive test groups that share import state with the changed files.
  • grep for the old boilerplate when replacing it, to confirm no stragglers remain.
  • A fresh audit worktree when changing the helpers themselves, so stale __pycache__ or import state cannot mask a regression.

Current roadmap

  1. Import-state cleanup - complete.
  2. Document helper conventions (this file).
  3. Pilot the repeated import-time core.database stub helper.
  4. Add further tiny helpers only when the repeated semantics are clear.
  5. Start low-risk file moves only after helper conventions are documented.
  6. Avoid moving high-risk security/route regression files first.