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@@ -1,91 +0,0 @@
"""IMP-46 u1 — Frame transformation cache signature builder.
Deterministic SHA256 over the 8 declared structural axes:
frame_id, v4_label, cardinality, source_shape,
h3_count, char_count_bucket, layout_preset, zone_position
Guardrails:
* No sample/section identifiers in the signature surface (no-hardcoding lock).
* source_shape constrained to the bullet/paragraph/table/mixed enum.
* char_count_bucket is the *bucket label*; numeric counts must be projected
via :func:`bucket_char_count` before being fed to :func:`build_signature`.
* Schema version is embedded in the hashed payload so a future axis change
breaks the digest by design (cache invalidation on schema bump).
"""
from __future__ import annotations
import hashlib
import json
from enum import Enum
SCHEMA_VERSION = 1
class SourceShape(str, Enum):
BULLET = "bullet"
PARAGRAPH = "paragraph"
TABLE = "table"
MIXED = "mixed"
_CHAR_COUNT_BUCKETS: tuple[tuple[int, str], ...] = (
(50, "0-50"),
(150, "51-150"),
(400, "151-400"),
(1000, "401-1000"),
)
_CHAR_COUNT_BUCKET_OVERFLOW = "1001+"
CHAR_COUNT_BUCKET_LABELS: tuple[str, ...] = tuple(
label for _, label in _CHAR_COUNT_BUCKETS
) + (_CHAR_COUNT_BUCKET_OVERFLOW,)
def bucket_char_count(char_count: int) -> str:
"""Project a non-negative character count to its fixed bucket label."""
if isinstance(char_count, bool) or not isinstance(char_count, int):
raise TypeError("char_count must be a non-negative int")
if char_count < 0:
raise ValueError("char_count must be non-negative")
for upper, label in _CHAR_COUNT_BUCKETS:
if char_count <= upper:
return label
return _CHAR_COUNT_BUCKET_OVERFLOW
def build_signature(
*,
frame_id: str,
v4_label: str,
cardinality: int | None,
source_shape: SourceShape | str,
h3_count: int,
char_count_bucket: str,
layout_preset: str,
zone_position: str,
) -> str:
"""Return a deterministic SHA256 hex digest over the 8 declared axes."""
if isinstance(source_shape, SourceShape):
source_shape_value = source_shape.value
elif isinstance(source_shape, str):
source_shape_value = SourceShape(source_shape).value
else:
raise TypeError("source_shape must be SourceShape or str")
if char_count_bucket not in CHAR_COUNT_BUCKET_LABELS:
raise ValueError(
f"char_count_bucket={char_count_bucket!r} is not a known bucket "
f"label (expected one of {CHAR_COUNT_BUCKET_LABELS})"
)
payload = {
"schema_version": SCHEMA_VERSION,
"frame_id": frame_id,
"v4_label": v4_label,
"cardinality": cardinality,
"source_shape": source_shape_value,
"h3_count": h3_count,
"char_count_bucket": char_count_bucket,
"layout_preset": layout_preset,
"zone_position": zone_position,
}
encoded = json.dumps(payload, sort_keys=True, ensure_ascii=False).encode("utf-8")
return hashlib.sha256(encoded).hexdigest()
@@ -1,45 +0,0 @@
# IMP-38 V4 max_rank 정책 — separate yaml (catalog 오염 방지)
#
# 도입 배경:
# 기존 `lookup_v4_match_with_fallback(max_rank=3)` hardcoded → rank 4~32 의 등록 frame 도달 못함
# mdx05-2 같이 V4 rank 1~9 가 catalog 미등록 + rank 10~ 등록 case → chain_exhausted → unit 생성 X
#
# 4 round 합의 (IMP-38 #67):
# - Codex #1: frame_contracts.yaml 오염 회피 → 별 yaml 파일 (이 파일)
# - Codex #2: 3 변수 분리 (configured / judgments / catalog count)
# - Codex #3: effective_extended_ceiling = min(configured, len(judgments_full32))
#
# 적용 path: src/phase_z2_mapper.py 의 load_v4_fallback_policy() loader
# + src/phase_z2_pipeline.py 의 lookup_v4_match_with_fallback() 동적 max_rank logic
policy_type: dynamic_usable_count_based
# usable_threshold N:
# rank 1~default_max_rank 중 "usable" predicate 충족 frame 수 >= N → default_max_rank 유지
# < N → extended_max_rank 로 확장
usable_threshold: 1
# default_max_rank:
# normal case (usable_count >= threshold) 의 fallback chain 길이
# mdx03 같이 rank 1 use_as_is 매칭 잘 되는 case 보호
default_max_rank: 3
# extended_max_rank:
# usable_count < threshold case 의 확장 ceiling
# mdx05-2 같이 rank 1~9 미등록 case 처리
# ★ 실제 effective_extended_ceiling = min(extended_max_rank, len(judgments_full32))
# (Codex #2 정정: yaml ceiling 무력화 방지 + V4 schema 범위 초과 방지)
extended_max_rank: 32
# usable predicate (3-tier):
# (a) phase_z_status in MVP1_ALLOWED_STATUSES (matched_zone / adapt_matched_zone)
# (b) get_contract(template_id) is not None (catalog 등록)
# (c) capacity_fit ok (raw_content 제공 시만 — optional)
# 의미 신뢰 vs catalog presence trade-off:
# N=1 = 가장 보수 (rank 1 usable 시 확장 X — mdx03 정상 case 보호)
# default_max_rank=3 = 의미 신뢰 범위 (V4 rank 1~3)
# extended_max_rank=32 = catalog presence fallback (rank 4~32)
# graceful fallback (yaml 없을 시):
# loader 가 default {default_max_rank: 3, extended_max_rank: 3} 로 fall through (backward compat)
@@ -1,347 +0,0 @@
"""IMP-46 u3 — Fingerprint-based cache invalidation tests.
Scope (Stage 2 plan, u3):
* ``save_proposal`` persists ``fingerprints`` verbatim (u2 already covers
the round-trip; this suite re-asserts the read-side comparator).
* ``read_proposal`` accepts an optional ``fingerprints`` kwarg. When
supplied, the stored dict must equal the supplied dict EXACTLY (strict
equality). Mismatch — including missing keys, extra keys, or value
drift — returns ``None``.
* Default ``fingerprints=None`` performs no comparison (back-compat for
legacy callers).
* Fingerprint *computation* stays outside ``cache.py`` — these tests
treat the three declared shas (``contract_sha`` / ``partial_sha`` /
``catalog_sha``) as opaque hex strings, never recomputing them. The
cache layer is a content-addressed *comparator*, not a content
*hasher*.
All filesystem writes are scoped to ``tmp_path`` via
``monkeypatch.setattr`` on the module-level :data:`CACHE_ROOT`.
"""
from __future__ import annotations
import json
import pathlib
import pytest
from src.phase_z2_ai_fallback import cache as cache_mod
from src.phase_z2_ai_fallback.cache import (
KEY_DELIMITER,
read_proposal,
save_proposal,
)
from src.phase_z2_ai_fallback.schema import AiFallbackProposal, ProposalKind
_FRAME_ID = "1171281190"
_SIG_HASH = "f" * 64
_KEY = f"{_FRAME_ID}{KEY_DELIMITER}{_SIG_HASH}"
_FINGERPRINTS_BASELINE: dict[str, str] = {
"contract_sha": "c" * 64,
"partial_sha": "p" * 64,
"catalog_sha": "x" * 64,
}
def _proposal(payload: dict | None = None) -> AiFallbackProposal:
return AiFallbackProposal(
proposal_kind=ProposalKind.BUILDER_OPTIONS_PATCH,
payload=payload if payload is not None else {"item_parser": "bullet_v2"},
rationale="u3-test",
)
@pytest.fixture(autouse=True)
def _isolated_cache_root(tmp_path: pathlib.Path, monkeypatch: pytest.MonkeyPatch):
monkeypatch.setattr(cache_mod, "CACHE_ROOT", tmp_path / "frame_cache")
yield tmp_path / "frame_cache"
# -- save side: fingerprints persisted verbatim ---------------------------
def test_save_persists_fingerprints_verbatim(
_isolated_cache_root: pathlib.Path,
):
path = save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints=_FINGERPRINTS_BASELINE,
)
stored = json.loads(path.read_text(encoding="utf-8"))["fingerprints"]
assert stored == _FINGERPRINTS_BASELINE
# -- read side: back-compat (no fingerprints kwarg) -----------------------
def test_read_without_fingerprints_kwarg_returns_proposal(
_isolated_cache_root: pathlib.Path,
):
"""Legacy read path (no kwarg) skips invalidation — round-trip succeeds."""
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints=_FINGERPRINTS_BASELINE,
)
loaded = read_proposal(_KEY)
assert loaded is not None
assert loaded.payload == {"item_parser": "bullet_v2"}
def test_read_without_fingerprints_kwarg_ignores_stored_mismatch(
_isolated_cache_root: pathlib.Path,
):
"""A caller that has not adopted fingerprint-aware lookup must still
see the proposal — invalidation only kicks in when explicitly asked."""
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints={"contract_sha": "old"},
)
loaded = read_proposal(_KEY)
assert loaded is not None
# -- read side: matching fingerprints -------------------------------------
def test_read_with_matching_fingerprints_returns_proposal(
_isolated_cache_root: pathlib.Path,
):
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints=_FINGERPRINTS_BASELINE,
)
loaded = read_proposal(_KEY, fingerprints=dict(_FINGERPRINTS_BASELINE))
assert loaded is not None
assert loaded.proposal_kind is ProposalKind.BUILDER_OPTIONS_PATCH
def test_read_with_empty_fingerprints_matches_empty_stored(
_isolated_cache_root: pathlib.Path,
):
"""Both sides empty is an exact match, not a special-case None."""
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
# default fingerprints=None → stored as {}
)
loaded = read_proposal(_KEY, fingerprints={})
assert loaded is not None
# -- read side: invalidation on mismatch ----------------------------------
@pytest.mark.parametrize(
"drifted_axis",
["contract_sha", "partial_sha", "catalog_sha"],
)
def test_read_invalidates_on_single_axis_drift(
drifted_axis: str, _isolated_cache_root: pathlib.Path
):
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints=_FINGERPRINTS_BASELINE,
)
supplied = dict(_FINGERPRINTS_BASELINE)
supplied[drifted_axis] = "deadbeef" * 8 # 64-char distinct value
assert read_proposal(_KEY, fingerprints=supplied) is None
def test_read_invalidates_when_caller_supplies_extra_key(
_isolated_cache_root: pathlib.Path,
):
"""Strict equality — extra key on caller side is a mismatch."""
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints=_FINGERPRINTS_BASELINE,
)
supplied = dict(_FINGERPRINTS_BASELINE)
supplied["future_axis_sha"] = "z" * 64
assert read_proposal(_KEY, fingerprints=supplied) is None
def test_read_invalidates_when_caller_supplies_subset(
_isolated_cache_root: pathlib.Path,
):
"""Strict equality — subset on caller side is a mismatch."""
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
fingerprints=_FINGERPRINTS_BASELINE,
)
subset = {"contract_sha": _FINGERPRINTS_BASELINE["contract_sha"]}
assert read_proposal(_KEY, fingerprints=subset) is None
def test_read_invalidates_when_entry_saved_without_fingerprints(
_isolated_cache_root: pathlib.Path,
):
"""A pre-invalidation cache entry (empty stored fingerprints) MUST NOT
satisfy a fingerprint-aware lookup — caller demands proof of freshness."""
save_proposal(
_KEY,
_proposal(),
visual_check_passed=True,
user_approved=True,
# default fingerprints=None → stored as {}
)
assert read_proposal(_KEY, fingerprints=_FINGERPRINTS_BASELINE) is None
def test_read_invalidates_when_stored_fingerprints_not_dict(
_isolated_cache_root: pathlib.Path,
):
"""Hand-corrupted payload (fingerprints serialized as non-dict) → None."""
path = _isolated_cache_root / _FRAME_ID / f"{_SIG_HASH}.json"
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(
json.dumps(
{
"schema_version": 1,
"proposal": _proposal().model_dump(mode="json"),
"slide_css": None,
"fingerprints": ["contract_sha", "c" * 64],
}
),
encoding="utf-8",
)
assert read_proposal(_KEY, fingerprints=_FINGERPRINTS_BASELINE) is None
def test_read_invalidates_when_stored_fingerprints_field_missing(
_isolated_cache_root: pathlib.Path,
):
"""Legacy payload (no ``fingerprints`` field at all) → None when caller
demands fingerprint comparison."""
path = _isolated_cache_root / _FRAME_ID / f"{_SIG_HASH}.json"
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(
json.dumps(
{
"schema_version": 1,
"proposal": _proposal().model_dump(mode="json"),
"slide_css": None,
# fingerprints field deliberately omitted
}
),
encoding="utf-8",
)
assert read_proposal(_KEY, fingerprints={"contract_sha": "c" * 64}) is None
def test_read_with_matching_fingerprints_still_loses_to_missing_file():
"""File missing takes precedence over fingerprint check — no false hit."""
assert read_proposal(_KEY, fingerprints=_FINGERPRINTS_BASELINE) is None
def test_read_with_matching_fingerprints_still_loses_to_corrupt_json(
_isolated_cache_root: pathlib.Path,
):
path = _isolated_cache_root / _FRAME_ID / f"{_SIG_HASH}.json"
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text("{not valid json", encoding="utf-8")
assert read_proposal(_KEY, fingerprints=_FINGERPRINTS_BASELINE) is None
# -- read side: input validation symmetry with save -----------------------
def test_read_rejects_non_dict_fingerprints():
with pytest.raises(TypeError):
read_proposal(_KEY, fingerprints=["contract_sha", "c" * 64]) # type: ignore[arg-type]
def test_read_rejects_non_dict_fingerprints_string():
with pytest.raises(TypeError):
read_proposal(_KEY, fingerprints="contract_sha=c" * 8) # type: ignore[arg-type]
def test_read_rejects_non_dict_fingerprints_int():
with pytest.raises(TypeError):
read_proposal(_KEY, fingerprints=42) # type: ignore[arg-type]
# -- isolation: cache.py never computes fingerprints ----------------------
def test_cache_module_has_no_fingerprint_computer():
"""Guardrail: cache.py is a *comparator*, not a *hasher*. The three
declared shas are computed outside this module (step 12 / pipeline
glue). Adding a fingerprint computer here would leak Phase Z runtime
knowledge into the cache layer and violate AI isolation."""
public_surface = [
name
for name in dir(cache_mod)
if not name.startswith("_") and callable(getattr(cache_mod, name))
]
forbidden_substrings = ("hash", "sha", "fingerprint")
leaks = [
name
for name in public_surface
if any(sub in name.lower() for sub in forbidden_substrings)
]
assert leaks == [], (
f"cache.py public surface leaks fingerprint computation: {leaks}; "
"computation must live outside cache.py per IMP-46 u3 contract."
)
# -- isolation across distinct fingerprint sets ---------------------------
def test_distinct_fingerprint_sets_isolated_per_signature(
_isolated_cache_root: pathlib.Path,
):
"""Two entries under different signature hashes keep their own
fingerprints; reading one with the other's fingerprints misses."""
key_a = f"{_FRAME_ID}{KEY_DELIMITER}{'a' * 64}"
key_b = f"{_FRAME_ID}{KEY_DELIMITER}{'b' * 64}"
fps_a = {"contract_sha": "a" * 64}
fps_b = {"contract_sha": "b" * 64}
save_proposal(
key_a,
_proposal(payload={"sig": "a"}),
visual_check_passed=True,
user_approved=True,
fingerprints=fps_a,
)
save_proposal(
key_b,
_proposal(payload={"sig": "b"}),
visual_check_passed=True,
user_approved=True,
fingerprints=fps_b,
)
# Crossed lookups miss.
assert read_proposal(key_a, fingerprints=fps_b) is None
assert read_proposal(key_b, fingerprints=fps_a) is None
# Aligned lookups hit.
a_hit = read_proposal(key_a, fingerprints=fps_a)
b_hit = read_proposal(key_b, fingerprints=fps_b)
assert a_hit is not None and a_hit.payload == {"sig": "a"}
assert b_hit is not None and b_hit.payload == {"sig": "b"}
@@ -1,93 +0,0 @@
"""IMP-46 u6 — repository layout coverage for the persistent frame cache.
This module is a *layout* contract test, not a runtime test. It asserts the
files committed to source control that make ``data/frame_cache/`` exist on a
fresh checkout while keeping cached JSON payloads ignored by git:
* ``data/frame_cache/.gitkeep`` is tracked (so the cache root exists for a
fresh clone before any AI fallback run materialises payloads).
* ``.gitignore`` ignores ``data/*`` broadly, re-includes the
``data/frame_cache/`` directory, ignores its contents, and re-includes
``data/frame_cache/.gitkeep`` so cache payloads under
``data/frame_cache/{frame_id}/{signature_hash}.json`` remain ignored.
If somebody removes the ``.gitkeep`` marker, drops the negation lines from
``.gitignore``, or commits a real cache payload, this test fails. The cache
module surface (cache.py) is exercised by ``test_cache.py`` /
``test_cache_invalidation.py`` and is intentionally *not* re-asserted here —
this file is the layout-only lock that Stage 2 u6 declared.
"""
from __future__ import annotations
from pathlib import Path
import pytest
REPO_ROOT = Path(__file__).resolve().parents[2]
GITIGNORE_PATH = REPO_ROOT / ".gitignore"
CACHE_ROOT = REPO_ROOT / "data" / "frame_cache"
GITKEEP_PATH = CACHE_ROOT / ".gitkeep"
def _gitignore_lines() -> list[str]:
assert GITIGNORE_PATH.is_file(), f".gitignore missing at {GITIGNORE_PATH}"
text = GITIGNORE_PATH.read_text(encoding="utf-8")
return [line.strip() for line in text.splitlines()]
def test_frame_cache_root_directory_exists() -> None:
"""``data/frame_cache/`` must exist on disk as the cache root."""
assert CACHE_ROOT.is_dir(), (
f"frame cache root missing: {CACHE_ROOT}. The directory must exist "
"for save_proposal to write JSON payloads without first conjuring a "
"parent on demand from outside the cache module."
)
def test_gitkeep_marker_is_tracked_file() -> None:
"""``data/frame_cache/.gitkeep`` is the marker that keeps the dir tracked."""
assert GITKEEP_PATH.is_file(), (
f".gitkeep marker missing: {GITKEEP_PATH}. Without it the cache root "
"would disappear on a fresh clone (everything under data/ is "
"ignored by default)."
)
@pytest.mark.parametrize(
"rule",
[
# Broad ignore for everything under data/ (cache payloads, runs/, etc.).
"data/*",
# Re-include the frame_cache directory itself so child negations work.
"!data/frame_cache/",
# Ignore everything inside frame_cache/ (cached JSON payloads).
"data/frame_cache/*",
# Re-include the .gitkeep marker only.
"!data/frame_cache/.gitkeep",
],
)
def test_gitignore_contains_frame_cache_exception(rule: str) -> None:
"""The four ignore rules together pin the 'track marker only' contract."""
lines = _gitignore_lines()
assert rule in lines, (
f".gitignore missing IMP-46 u6 rule: {rule!r}. The four-line block "
"(data/*, !data/frame_cache/, data/frame_cache/*, "
"!data/frame_cache/.gitkeep) together ensure the cache root is "
"tracked while cached payloads remain ignored."
)
def test_gitignore_rule_order_keeps_payloads_ignored() -> None:
"""Rule order matters: the ``data/frame_cache/*`` re-ignore must come
AFTER the ``!data/frame_cache/`` directory re-include, otherwise the
re-include would shadow it and cached JSON payloads would be tracked."""
lines = _gitignore_lines()
reinclude_dir = lines.index("!data/frame_cache/")
reignore_contents = lines.index("data/frame_cache/*")
reinclude_marker = lines.index("!data/frame_cache/.gitkeep")
assert reinclude_dir < reignore_contents < reinclude_marker, (
"gitignore IMP-46 u6 block out of order: expected "
"'!data/frame_cache/' < 'data/frame_cache/*' < "
"'!data/frame_cache/.gitkeep' so cached payloads stay ignored while "
"only the marker is tracked."
)
@@ -1,184 +0,0 @@
"""IMP-46 u1 — Frame cache signature builder tests.
Verifies:
* Determinism — identical inputs yield the same SHA256 digest.
* Axis-change sensitivity — every one of the 8 declared axes mutates the
digest when changed in isolation.
* Public surface — only the 8 declared axes are accepted (no
sample/section identifier leakage).
* char_count bucket boundaries (0-50, 51-150, 151-400, 401-1000, 1001+).
* source_shape enum equivalence (string and SourceShape inputs match).
* schema_version is part of the hashed payload (digest stable for fixture).
"""
from __future__ import annotations
import inspect
import pytest
from src.phase_z2_ai_fallback.signature import (
CHAR_COUNT_BUCKET_LABELS,
SCHEMA_VERSION,
SourceShape,
bucket_char_count,
build_signature,
)
def _base_kwargs() -> dict:
return dict(
frame_id="frame_03",
v4_label="light_edit",
cardinality=3,
source_shape=SourceShape.BULLET,
h3_count=2,
char_count_bucket="51-150",
layout_preset="sidebar-right",
zone_position="top",
)
def test_schema_version_is_one() -> None:
assert SCHEMA_VERSION == 1
def test_bucket_labels_match_spec() -> None:
assert CHAR_COUNT_BUCKET_LABELS == (
"0-50",
"51-150",
"151-400",
"401-1000",
"1001+",
)
def test_signature_is_deterministic() -> None:
a = build_signature(**_base_kwargs())
b = build_signature(**_base_kwargs())
assert a == b
assert len(a) == 64
@pytest.mark.parametrize(
"axis, new_value",
[
("frame_id", "frame_04"),
("v4_label", "restructure"),
("cardinality", 5),
("source_shape", SourceShape.PARAGRAPH),
("h3_count", 3),
("char_count_bucket", "151-400"),
("layout_preset", "two-column"),
("zone_position", "bottom_l"),
],
)
def test_signature_changes_for_each_axis(axis: str, new_value: object) -> None:
base = build_signature(**_base_kwargs())
kwargs = _base_kwargs()
kwargs[axis] = new_value
assert build_signature(**kwargs) != base
def test_signature_accepts_string_source_shape() -> None:
enum_sig = build_signature(**_base_kwargs())
kwargs = _base_kwargs()
kwargs["source_shape"] = "bullet"
assert build_signature(**kwargs) == enum_sig
def test_signature_rejects_unknown_source_shape() -> None:
kwargs = _base_kwargs()
kwargs["source_shape"] = "nonsense"
with pytest.raises(ValueError):
build_signature(**kwargs)
def test_signature_rejects_unknown_char_count_bucket() -> None:
kwargs = _base_kwargs()
kwargs["char_count_bucket"] = "999-1234"
with pytest.raises(ValueError):
build_signature(**kwargs)
def test_signature_handles_none_cardinality() -> None:
kwargs = _base_kwargs()
kwargs["cardinality"] = None
sig = build_signature(**kwargs)
assert len(sig) == 64
kwargs2 = _base_kwargs()
kwargs2["cardinality"] = 0
assert build_signature(**kwargs2) != sig
def test_signature_surface_only_8_declared_axes() -> None:
params = set(inspect.signature(build_signature).parameters)
expected = {
"frame_id",
"v4_label",
"cardinality",
"source_shape",
"h3_count",
"char_count_bucket",
"layout_preset",
"zone_position",
}
assert params == expected
def test_bucket_boundaries() -> None:
assert bucket_char_count(0) == "0-50"
assert bucket_char_count(50) == "0-50"
assert bucket_char_count(51) == "51-150"
assert bucket_char_count(150) == "51-150"
assert bucket_char_count(151) == "151-400"
assert bucket_char_count(400) == "151-400"
assert bucket_char_count(401) == "401-1000"
assert bucket_char_count(1000) == "401-1000"
assert bucket_char_count(1001) == "1001+"
assert bucket_char_count(10_000) == "1001+"
def test_bucket_rejects_negative() -> None:
with pytest.raises(ValueError):
bucket_char_count(-1)
def test_bucket_rejects_non_int() -> None:
with pytest.raises(TypeError):
bucket_char_count(3.14) # type: ignore[arg-type]
with pytest.raises(TypeError):
bucket_char_count(True) # type: ignore[arg-type]
def test_signature_stable_known_fixture() -> None:
"""Lock the digest for a known fixture so a silent payload-shape change
(e.g. a new axis sneaks in, or schema_version drifts) breaks this test.
"""
sig = build_signature(
frame_id="frame_03",
v4_label="light_edit",
cardinality=3,
source_shape=SourceShape.BULLET,
h3_count=2,
char_count_bucket="51-150",
layout_preset="sidebar-right",
zone_position="top",
)
import hashlib
import json
expected_payload = {
"schema_version": 1,
"frame_id": "frame_03",
"v4_label": "light_edit",
"cardinality": 3,
"source_shape": "bullet",
"h3_count": 2,
"char_count_bucket": "51-150",
"layout_preset": "sidebar-right",
"zone_position": "top",
}
expected = hashlib.sha256(
json.dumps(expected_payload, sort_keys=True, ensure_ascii=False).encode("utf-8")
).hexdigest()
assert sig == expected
-159
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@@ -1,159 +0,0 @@
"""IMP-38 U2 — dynamic effective max_rank + trace 8-field + 3-tier usable predicate.
Verify:
- max_rank=None (default) → policy applied (usable_count + effective_max_rank 결정)
- max_rank=int (caller override) → that value used as-is (backward compat)
- trace contains 8 IMP-38 fields + legacy "max_rank" alias
- usable_count >= threshold → default_max_rank (mdx03 정상 case)
- usable_count < threshold → effective_extended_ceiling (mdx05-2 확장 case)
- effective_extended_ceiling = min(configured, len(judgments_full32)) (Codex #2)
- IMP-30 allow_provisional byte-identical (chain_exhausted 후 provisional 합성)
4 round 합의 (#67):
- Codex #1: 별 yaml (catalog 오염 방지)
- Codex #2: min(configured, len(judgments)) 정정
- Codex #3: load_frame_contracts() shape 무변
"""
from __future__ import annotations
import pytest
@pytest.fixture(autouse=True)
def _reset_policy_cache():
"""Reset module-level _V4_FALLBACK_POLICY_CACHE for test isolation."""
import src.phase_z2_mapper as mapper
mapper._V4_FALLBACK_POLICY_CACHE = None
yield
mapper._V4_FALLBACK_POLICY_CACHE = None
def _make_v4_section(judgments: list[dict]) -> dict:
"""Helper — V4 fixture with mdx_sections[section_id].judgments_full32."""
return {
"mdx_sections": {
"sec-1": {
"judgments_full32": judgments,
}
}
}
def _judgment(template_id: str, label: str, confidence: float = 0.5, frame_id: int = 0) -> dict:
"""Helper — V4 judgment entry shape."""
return {
"template_id": template_id,
"frame_id": frame_id or hash(template_id) % 10000,
"frame_number": 0,
"confidence": confidence,
"label": label,
}
# ─── U2 Test: caller override (backward compat) ────────────────────
def test_caller_override_uses_explicit_max_rank():
"""max_rank=3 explicit → effective_max_rank=3, policy_applied=caller_override."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
judgments = [_judgment(f"t{i}", "reject") for i in range(5)]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1", max_rank=3)
assert trace["policy_applied"] == "caller_override"
assert trace["effective_max_rank"] == 3
assert trace["max_rank"] == 3 # legacy alias
def test_caller_override_max_rank_5_used_directly():
"""max_rank=5 explicit → effective_max_rank=5 (policy 무시)."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
judgments = [_judgment(f"t{i}", "reject") for i in range(10)]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1", max_rank=5)
assert trace["policy_applied"] == "caller_override"
assert trace["effective_max_rank"] == 5
# ─── U2 Test: 8 trace fields presence ──────────────────────────────
def test_trace_contains_8_imp38_fields():
"""trace dict must contain all 8 IMP-38 fields + legacy max_rank alias."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
judgments = [_judgment(f"t{i}", "reject") for i in range(3)]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1")
expected = {
"requested_max_rank",
"default_max_rank",
"configured_extended_max_rank",
"judgments_count",
"effective_extended_ceiling",
"effective_max_rank",
"usable_count",
"policy_applied",
"max_rank", # legacy alias
}
missing = expected - set(trace.keys())
assert not missing, f"missing IMP-38 trace fields: {missing}"
# ─── U2 Test: Codex #2 정정 — min(configured, len(judgments_full32)) ──
def test_effective_extended_ceiling_is_min_of_configured_and_judgments_count():
"""Codex #2 LOCK — judgments_count < configured 일 때 ceiling = judgments_count."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
# 5 judgments only — configured extended (32) 보다 작음
judgments = [_judgment(f"t{i}", "reject") for i in range(5)]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1")
assert trace["judgments_count"] == 5
assert trace["effective_extended_ceiling"] == 5 # min(32, 5) = 5
# ─── U2 Test: no_judgments path ──────────────────────────────────
def test_no_judgments_path():
"""judgments_count=0 → policy_applied=no_judgments, effective_max_rank=default."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
v4 = _make_v4_section([])
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1")
assert trace["policy_applied"] == "no_judgments"
assert trace["judgments_count"] == 0
assert trace["effective_max_rank"] == trace["default_max_rank"]
assert trace["fallback_reason"] == "empty_v4_judgments"
# ─── U2 Test: no_v4_section ─────────────────────────────────────
def test_no_v4_section_path():
"""unknown section_id → fallback_reason=no_v4_section + trace still has 8 IMP-38 fields."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
v4 = {"mdx_sections": {}}
_match, trace = lookup_v4_match_with_fallback(v4, "unknown-sec")
assert trace["fallback_reason"] == "no_v4_section"
# 8 fields still present even when no section found
assert "policy_applied" in trace
assert "effective_max_rank" in trace
# ─── U2 Test: chain_exhausted message reflects effective_max_rank ──
def test_chain_exhausted_message_includes_effective_max_rank():
"""fallback_reason 메시지가 동적 effective_max_rank 반영 (hardcoded "1_to_3" X)."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
# 3 judgments all reject (catalog 등록 X 가정 — t1/t2/t3 는 catalog 에 없음)
judgments = [_judgment(f"unregistered_t{i}", "reject") for i in range(3)]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1", max_rank=3)
# chain exhausted — 메시지 가 effective_max_rank=3 반영
if trace["selection_path"] == "chain_exhausted":
# first_skip_reason 가 있으면 그게 우선, 없으면 default 메시지
assert (
trace["fallback_reason"] is not None
and ("no_auto_renderable" in trace["fallback_reason"] or "phase_z_status" in trace["fallback_reason"] or "no_contract" in trace["fallback_reason"])
)
-213
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@@ -1,213 +0,0 @@
"""IMP-47B u13 — Persist validated proposals through ``save_proposal`` after gates.
Scope (this slice):
Verify the new ``_persist_ai_repair_proposals_to_cache`` helper in
``src/phase_z2_pipeline.py`` honours the IMP-46 dual-gate truth table
on the post-Step-14 cache-save seam. The helper is exercised in
isolation (no Selenium, no full pipeline) with synthetic AI repair
records that mirror the gather → apply → coverage chain shape
produced by IMP-47B u4 / u5 / u7.
Guardrails proven by this test (IMP-46 + IMP-47B policy bullets):
* ``visual_check_passed=False`` always blocks — never bypassable, even
when ``auto_cache=True`` (IMP-46 u5 truth table cell).
* ``user_approved=False`` AND ``auto_cache=False`` → gate blocked
(default pipeline path has no UX approval gate; ``--auto-cache`` is
the documented bypass).
* ``visual_check_passed=True`` AND ``auto_cache=True`` → proposal
persisted on disk under ``data/frame_cache/{frame_id}/{hash}.json``
via ``cache.save_proposal``.
* Non-applied records (no_proposal / no_zone_match / unsupported /
error) → ``cache_save_status='not_applied'`` and NEVER reach
``save_proposal`` (no filesystem touch).
* Settings axis — ``settings.ai_fallback_auto_cache`` sourced through
the helper kwargs, never inlined (hardcoding ban).
"""
from __future__ import annotations
import pathlib
import pytest
from src.phase_z2_ai_fallback import cache as cache_mod
from src.phase_z2_ai_fallback.cache import AiFallbackCacheGateError
from src.phase_z2_ai_fallback.schema import AiFallbackProposal, ProposalKind
from src.phase_z2_pipeline import _persist_ai_repair_proposals_to_cache
def _applied_record(
*,
cache_key: str = "MOCK_FRAME::deadbeef" + "0" * 56,
fingerprints: dict | None = None,
slots: dict | None = None,
) -> dict:
"""Build an IMP-47B u4/u5 shaped record marked ``applied:partial_overrides``."""
if fingerprints is None:
fingerprints = {"contract_sha": "c1", "partial_sha": "p1", "catalog_sha": "k1"}
if slots is None:
slots = {"title": "AI repaired", "bullets": ["b1", "b2"]}
proposal = AiFallbackProposal(
proposal_kind=ProposalKind.PARTIAL_OVERRIDES,
payload={"slots": slots},
rationale="cache save gate test",
)
return {
"unit_index": 0,
"source_section_ids": ["MOCK_S1"],
"frame_template_id": "MOCK_FRAME",
"label": "reject",
"route_hint": "ai_adaptation_required",
"provisional": True,
"ai_called": True,
"skip_reason": None,
"proposal": proposal.model_dump(),
"error": None,
"cache_key": cache_key,
"fingerprints": fingerprints,
"apply_status": "applied:partial_overrides",
}
@pytest.fixture(autouse=True)
def _isolate_cache_root(tmp_path: pathlib.Path, monkeypatch: pytest.MonkeyPatch):
"""Redirect ``cache.CACHE_ROOT`` to a per-test tmp dir so save_proposal
writes never touch the real ``data/frame_cache/`` tree."""
monkeypatch.setattr(cache_mod, "CACHE_ROOT", tmp_path / "frame_cache")
yield tmp_path / "frame_cache"
def test_visual_check_failed_blocks_save_even_with_auto_cache(_isolate_cache_root):
"""visual_check_passed=False is never bypassable — auto_cache cannot override."""
record = _applied_record()
records = [record]
_persist_ai_repair_proposals_to_cache(
records,
visual_check_passed=False,
user_approved=True,
auto_cache=True,
)
assert record["cache_save_status"].startswith("gate_blocked:")
assert "visual_check_passed=False" in record["cache_save_status"]
# No filesystem write occurred.
assert not _isolate_cache_root.exists() or not any(_isolate_cache_root.rglob("*.json"))
def test_user_not_approved_and_no_auto_cache_blocks_save(_isolate_cache_root):
"""Default pipeline path (user_approved=False, auto_cache=False) → gate blocked."""
record = _applied_record()
records = [record]
_persist_ai_repair_proposals_to_cache(
records,
visual_check_passed=True,
user_approved=False,
auto_cache=False,
)
assert record["cache_save_status"].startswith("gate_blocked:")
assert "user_approved=False" in record["cache_save_status"]
assert not _isolate_cache_root.exists() or not any(_isolate_cache_root.rglob("*.json"))
def test_visual_passed_and_auto_cache_persists_proposal(_isolate_cache_root):
"""Happy path — visual_check_passed=True + auto_cache=True persists JSON."""
record = _applied_record()
records = [record]
_persist_ai_repair_proposals_to_cache(
records,
visual_check_passed=True,
user_approved=False,
auto_cache=True,
)
assert record["cache_save_status"] == "saved"
written = list(_isolate_cache_root.rglob("*.json"))
assert len(written) == 1
# Layout = {CACHE_ROOT}/{frame_id}/{signature_hash}.json.
written_path = written[0]
assert written_path.parent.name == "MOCK_FRAME"
def test_non_applied_records_are_skipped_without_filesystem_touch(_isolate_cache_root):
"""no_proposal / no_zone_match / unsupported_kind / error → never reach save_proposal."""
no_proposal_record = {
"unit_index": 0,
"apply_status": "no_proposal",
"proposal": None,
"cache_key": None,
"fingerprints": None,
}
no_zone_record = {
"unit_index": 1,
"apply_status": "no_zone_match",
"proposal": {"proposal_kind": "partial_overrides", "payload": {"slots": {}}, "rationale": ""},
"cache_key": "MOCK::abc",
"fingerprints": {"contract_sha": "c", "partial_sha": "p", "catalog_sha": "k"},
}
unsupported_record = {
"unit_index": 2,
"apply_status": "unsupported_kind_for_reject_route:builder_options_patch",
"proposal": {"proposal_kind": "builder_options_patch", "payload": {}, "rationale": ""},
"cache_key": "MOCK::def",
"fingerprints": {"contract_sha": "c", "partial_sha": "p", "catalog_sha": "k"},
}
error_record = {
"unit_index": 3,
"apply_status": None,
"proposal": None,
"cache_key": "MOCK::ghi",
"fingerprints": {"contract_sha": "c", "partial_sha": "p", "catalog_sha": "k"},
"error": "RuntimeError: boom",
}
records = [no_proposal_record, no_zone_record, unsupported_record, error_record]
_persist_ai_repair_proposals_to_cache(
records,
visual_check_passed=True,
user_approved=True,
auto_cache=True,
)
for r in records:
assert r["cache_save_status"] == "not_applied"
# Zero JSON files written because none of the records were applied.
assert not _isolate_cache_root.exists() or not any(_isolate_cache_root.rglob("*.json"))
def test_mixed_records_only_persist_applied_ones(_isolate_cache_root):
"""Mixed batch — only the ``applied:`` record is persisted."""
applied = _applied_record(cache_key="MOCK_FRAME::aaaaaaaa" + "0" * 56)
not_applied = {
"unit_index": 1,
"apply_status": "no_proposal",
"proposal": None,
"cache_key": None,
"fingerprints": None,
}
records = [applied, not_applied]
_persist_ai_repair_proposals_to_cache(
records,
visual_check_passed=True,
user_approved=False,
auto_cache=True,
)
assert applied["cache_save_status"] == "saved"
assert not_applied["cache_save_status"] == "not_applied"
written = list(_isolate_cache_root.rglob("*.json"))
assert len(written) == 1
def test_invalid_proposal_payload_surfaces_without_raising(_isolate_cache_root):
"""Malformed ``proposal`` dict → ``cache_save_status='invalid_proposal:...'``,
no filesystem write, no exception bubbling into the pipeline runtime."""
bad_record = {
"unit_index": 0,
"apply_status": "applied:partial_overrides",
"proposal": {"proposal_kind": "not_a_valid_enum_value", "payload": {}, "rationale": ""},
"cache_key": "MOCK::bad",
"fingerprints": {"contract_sha": "c", "partial_sha": "p", "catalog_sha": "k"},
}
records = [bad_record]
_persist_ai_repair_proposals_to_cache(
records,
visual_check_passed=True,
user_approved=True,
auto_cache=True,
)
assert bad_record["cache_save_status"].startswith("invalid_proposal:")
assert not _isolate_cache_root.exists() or not any(_isolate_cache_root.rglob("*.json"))
-95
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@@ -1,95 +0,0 @@
"""IMP-47B u7 — Post-AI source_section_ids coverage invariant tests.
Scope (this slice):
* Helper ``_check_post_ai_coverage_invariant(units, ai_repair_records)``
(src/phase_z2_pipeline.py) compares the pre-AI superset (unit
``source_section_ids``) to the post-apply superset present on
gather records. Per the AI isolation contract + dropped 절대 룰
(``feedback_ai_isolation_contract``), AI repair must not silently
drop a section.
* The helper returns a structured dict (``pre_ai_section_ids``,
``post_ai_section_ids``, ``dropped_section_ids``, ``status``) so u8
can surface ``status`` through ``slide_status.ai_repair_status``.
u8 slide_status surfacing and u10 E2E no-text-loss assertion are out
of scope for this unit. The helper is pure (no AI call, no IO) so a
synthetic stub-unit / stub-record fixture exercises it directly.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from src.phase_z2_pipeline import _check_post_ai_coverage_invariant
@dataclass
class _StubUnit:
source_section_ids: list[str] = field(default_factory=list)
def _record(source_section_ids: list[str]) -> dict:
"""Minimal gather-record stub — only the field u7 reads."""
return {"source_section_ids": list(source_section_ids)}
# ─── Case 1 : matched coverage → status='ok' ────────────────────────
def test_coverage_invariant_ok_when_records_match_units():
"""Records carry every unit's source_section_ids → no drop, status='ok'."""
units = [_StubUnit(["MOCK_S1", "MOCK_S2"]), _StubUnit(["MOCK_S3"])]
records = [_record(["MOCK_S1", "MOCK_S2"]), _record(["MOCK_S3"])]
result = _check_post_ai_coverage_invariant(units, records)
assert result["status"] == "ok"
assert result["dropped_section_ids"] == []
assert result["pre_ai_section_ids"] == ["MOCK_S1", "MOCK_S2", "MOCK_S3"]
assert result["post_ai_section_ids"] == ["MOCK_S1", "MOCK_S2", "MOCK_S3"]
# ─── Case 2 : record drops a section → status='violated' ────────────
def test_coverage_invariant_violated_when_record_drops_section():
"""If a record loses a unit's section_id (e.g., apply mutation bug),
the invariant reports status='violated' + dropped list (dropped 절대 룰).
"""
units = [_StubUnit(["MOCK_S1", "MOCK_S2"]), _StubUnit(["MOCK_S3"])]
records = [_record(["MOCK_S1"]), _record(["MOCK_S3"])] # MOCK_S2 dropped
result = _check_post_ai_coverage_invariant(units, records)
assert result["status"] == "violated"
assert result["dropped_section_ids"] == ["MOCK_S2"]
assert "MOCK_S2" in result["pre_ai_section_ids"]
assert "MOCK_S2" not in result["post_ai_section_ids"]
# ─── Case 3 : empty inputs → status='ok' (no false positive) ────────
def test_coverage_invariant_ok_on_empty_units_and_records():
"""Empty pipeline (no units / no records) is a vacuous pass —
avoids false-positive 'violated' on edge-case shapes (no AI work).
"""
result = _check_post_ai_coverage_invariant([], [])
assert result["status"] == "ok"
assert result["dropped_section_ids"] == []
assert result["pre_ai_section_ids"] == []
assert result["post_ai_section_ids"] == []
# ─── Case 4 : multiple drops + dedup ────────────────────────────────
def test_coverage_invariant_lists_all_dropped_sections_sorted_and_deduped():
"""Multiple missing sections → dropped_section_ids is sorted + deduped.
Duplicate ids across units / records collapse to a set comparison.
"""
units = [
_StubUnit(["MOCK_S3", "MOCK_S1"]),
_StubUnit(["MOCK_S2", "MOCK_S1"]), # MOCK_S1 duplicate
]
records: list[dict] = [] # full drop — every unit section missing
result = _check_post_ai_coverage_invariant(units, records)
assert result["status"] == "violated"
assert result["dropped_section_ids"] == ["MOCK_S1", "MOCK_S2", "MOCK_S3"]
assert result["pre_ai_section_ids"] == ["MOCK_S1", "MOCK_S2", "MOCK_S3"]
assert result["post_ai_section_ids"] == []
-269
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@@ -1,269 +0,0 @@
"""IMP-47B u10 — End-to-end reject smoke (mocked client + full chain + render).
Scope (this slice):
E2E chain proving the IMP-47B reject route activates, preserves
full coverage, and propagates the AI-repaired ``slot_payload``
into the rendered ``final.html`` artifact when the AI fallback
client returns a deterministic PARTIAL_OVERRIDES proposal. Wires
together the four pipeline helpers introduced by u4 / u5 / u7 / u8
plus the Step 13 render step:
gather → apply → coverage_invariant → ai_repair_status surfacing
→ render_slide → final.html
The chain mirrors the ``run_phase_z2_mvp1`` call sequence between
the Step 12 slot_payload write and the Step 20 ``slide_status``
attach (src/phase_z2_pipeline.py — u4 call site, u5 apply, u6
artifact, u7 invariant, u8 surface). The Step 13 render path
(``render_slide`` at src/phase_z2_pipeline.py:2319, called from the
production write site at src/phase_z2_pipeline.py:5107-5111)
consumes ``zones_data[i]["slot_payload"]`` verbatim, so this test
drives that exact production seam: it calls ``render_slide`` on
the post-apply ``zones_data`` and writes the resulting HTML to a
``final.html`` file inside ``tmp_path``, then asserts the AI
proposal text appears in the on-disk artifact. A heavy
``run_phase_z2_mvp1`` integration variant with Selenium overflow
check remains deferred — this smoke test stops at the rendered
HTML.
Guardrails proven by this test (IMP-47B policy bullets):
* AI 호출 = fallback path only → master flag default OFF preserved
(test enables for itself only, restores after).
* MDX 원문 100% 보존 → coverage_invariant.status == "ok",
source_section_ids identical before/after AI.
* 자동 frame swap 금지 → frame_template_id unchanged.
* frame visual 임의 변경 금지 → frame_contract / partial untouched
(apply only merges proposal.payload.slots into slot_payload).
* dropped 절대 룰 → slot_payload AI keys merged on top
of deterministic keys; pre-existing meta keys survive.
"""
from __future__ import annotations
from dataclasses import dataclass, field
from src.phase_z2_ai_fallback.schema import AiFallbackProposal, ProposalKind
from src.phase_z2_pipeline import (
_apply_ai_repair_proposals_to_zones,
_check_post_ai_coverage_invariant,
_run_step12_ai_repair,
_summarize_ai_repair_status,
)
@dataclass
class _StubUnit:
"""Synthetic CompositionUnit stand-in (subset of fields gather reads)."""
label: str | None = "reject"
provisional: bool = True
frame_template_id: str = "MOCK_T_reject"
frame_id: str = "MOCK_F_reject"
source_section_ids: list[str] = field(default_factory=lambda: ["MOCK_S1"])
raw_content: str = "MOCK MDX paragraph that must survive AI repair."
v4_rank: int | None = 1
cardinality: int | None = None
layout_preset: str = "two_zone_vertical"
zone_position: str = "top"
source_shape: str = "paragraph"
h3_count: int = 0
char_count: int = 48
def _patched_route_ai_fallback(**kwargs):
"""Deterministic stand-in for ``route_ai_fallback`` — returns a
PARTIAL_OVERRIDES proposal that mirrors the declared frame slots.
The validator (src/phase_z2_ai_fallback/validate.py:61-74) is not
re-invoked here because this helper bypasses the router; the
structural slot completeness is asserted by the apply step + the
coverage invariant downstream.
"""
return AiFallbackProposal(
proposal_kind=ProposalKind.PARTIAL_OVERRIDES,
payload={
"slots": {
"title": "AI repaired title",
"bullets": ["AI repaired bullet 1", "AI repaired bullet 2"],
}
},
rationale="E2E smoke proposal — deterministic.",
)
def test_e2e_reject_chain_applies_proposal_and_preserves_coverage(monkeypatch):
"""End-to-end reject smoke (synthetic chain, mocked client).
Drives the four IMP-47B u4/u5/u7/u8 helpers in pipeline order with
a single reject+provisional unit. Asserts every guardrail listed
in the module docstring + the four E2E invariants
(final.html-bound slot_payload / full coverage / no text loss /
human_review NOT required on the success path).
"""
# IMP-47B u4 wiring — patch the router seam in src/phase_z2_ai_fallback/step12.py
# so the gather call returns a deterministic PARTIAL_OVERRIDES proposal
# without touching the master flag / network / cache layers.
import src.phase_z2_ai_fallback.step12 as step12_mod
monkeypatch.setattr(step12_mod, "route_ai_fallback", _patched_route_ai_fallback)
unit = _StubUnit()
units = [unit]
# Step 12 gather (u4) — eligible reject reaches the patched router.
records = _run_step12_ai_repair(units)
assert len(records) == 1
assert records[0]["route_hint"] == "ai_adaptation_required"
assert records[0]["ai_called"] is True
assert records[0]["skip_reason"] is None
assert records[0]["proposal"]["proposal_kind"] == "partial_overrides"
assert records[0]["source_section_ids"] == ["MOCK_S1"]
# Step 12 apply (u5) — PARTIAL_OVERRIDES merged into the matching zone.
# zones_data[0]["slot_payload"] is exactly what render_slide consumes
# to emit final.html (src/phase_z2_pipeline.py:5107) — asserting it
# here proves the reject route now flows into the rendered HTML.
zones = [{
"position": "top",
"template_id": "MOCK_T_reject",
"slot_payload": {
"title": "deterministic title",
"bullets": ["deterministic bullet"],
"_truncated_count": 0,
},
}]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
assert records[0]["apply_status"] == "applied:partial_overrides"
# final.html-bound slot_payload carries AI proposal values
assert zones[0]["slot_payload"]["title"] == "AI repaired title"
assert zones[0]["slot_payload"]["bullets"] == [
"AI repaired bullet 1",
"AI repaired bullet 2",
]
# frame visual / pre-existing meta keys survive (no silent shrink).
assert zones[0]["template_id"] == "MOCK_T_reject"
assert zones[0]["slot_payload"]["_truncated_count"] == 0
# frame_template_id on the unit is byte-identical (no auto frame swap).
assert unit.frame_template_id == "MOCK_T_reject"
# Step 12 coverage invariant (u7) — full coverage, no text loss.
coverage = _check_post_ai_coverage_invariant(units, records)
assert coverage["status"] == "ok"
assert coverage["pre_ai_section_ids"] == ["MOCK_S1"]
assert coverage["post_ai_section_ids"] == ["MOCK_S1"]
assert coverage["dropped_section_ids"] == []
# Step 20 ai_repair_status surfacing (u8) — applied without human review.
status = _summarize_ai_repair_status(records, coverage)
assert status["status"] == "applied"
assert status["counts"]["applied"] == 1
assert status["counts"]["error"] == 0
assert status["counts"]["unsupported_kind"] == 0
assert status["coverage_status"] == "ok"
assert status.get("human_review_required") is not True
def test_e2e_reject_chain_writes_final_html_with_ai_repaired_slot(monkeypatch, tmp_path):
"""End-to-end reject smoke (real render path → final.html on disk).
Drives the full Stage-2 u10 chain INCLUDING ``render_slide``: the
AI-repaired ``slot_payload`` is fed through the same Jinja2
rendering seam the production pipeline uses
(src/phase_z2_pipeline.py:5107-5111), the resulting HTML is
written to ``tmp_path / "final.html"``, and the on-disk artifact
is then asserted to carry the AI proposal value. Uses
``bim_dx_comparison_table`` — a real registered frame partial
(templates/phase_z2/families/bim_dx_comparison_table.html) whose
template emits ``{{ slot_payload.title }}`` verbatim, so a
proposal-overridden title surfaces literally in the HTML output.
"""
import src.phase_z2_ai_fallback.step12 as step12_mod
monkeypatch.setattr(step12_mod, "route_ai_fallback", _patched_route_ai_fallback)
from src.phase_z2_pipeline import build_layout_css, render_slide
unit = _StubUnit(
frame_template_id="bim_dx_comparison_table",
zone_position="primary",
layout_preset="single",
)
# Step 12 gather + apply. Deterministic non-overridden slots
# (col_a_label, col_b_label, rows[*]) are seeded BEFORE apply so the
# post-render assertions below can prove u5 merge semantics
# (dict.update — not dict-replace) survive the render seam. The
# router proposal only carries ``{title, bullets}`` — every other
# slot must reach final.html untouched.
records = _run_step12_ai_repair([unit])
zones = [{
"position": "primary",
"template_id": "bim_dx_comparison_table",
"slot_payload": {
"title": "deterministic frame title",
"col_a_label": "DETERMINISTIC_COL_A_LABEL",
"col_b_label": "DETERMINISTIC_COL_B_LABEL",
"rows": [
{"label": "DET_ROW_LABEL", "col_a": "DET_ROW_A", "col_b": "DET_ROW_B"},
],
},
}]
_apply_ai_repair_proposals_to_zones(records, ["primary"], zones)
assert records[0]["apply_status"] == "applied:partial_overrides"
# Step 13 render — production seam (src/phase_z2_pipeline.py:5107-5111).
layout_css = build_layout_css("single", zones)
html = render_slide("IMP-47B E2E reject smoke", None, zones, "single", layout_css)
final_html_path = tmp_path / "final.html"
final_html_path.write_text(html, encoding="utf-8")
# final.html artifact exists on disk and is non-empty.
assert final_html_path.is_file()
assert final_html_path.stat().st_size > 0
rendered = final_html_path.read_text(encoding="utf-8")
# AI-repaired slot content appears in the rendered HTML.
assert "AI repaired title" in rendered
# Deterministic pre-apply title was overridden in the HTML output
# (no silent merge that leaves both values visible).
assert "deterministic frame title" not in rendered
# Non-overridden deterministic slots survive merge → render (u5
# dict.update semantics, not dict-replace; dropped 절대 룰 honoured
# at the render seam, not just in slot_payload memory).
assert "DETERMINISTIC_COL_A_LABEL" in rendered
assert "DETERMINISTIC_COL_B_LABEL" in rendered
assert "DET_ROW_LABEL" in rendered
assert "DET_ROW_A" in rendered
assert "DET_ROW_B" in rendered
# Frame template id is preserved end-to-end (no auto frame swap).
assert 'data-template-id="bim_dx_comparison_table"' in rendered
assert unit.frame_template_id == "bim_dx_comparison_table"
# MDX 원문 100% 보존 — coverage invariant + status surfacing.
coverage = _check_post_ai_coverage_invariant([unit], records)
assert coverage["status"] == "ok"
assert coverage["dropped_section_ids"] == []
status = _summarize_ai_repair_status(records, coverage)
assert status["status"] == "applied"
assert status.get("human_review_required") is not True
def test_e2e_reject_chain_no_text_loss_on_multi_section_unit(monkeypatch):
"""Multi-section reject unit — every section id flows through gather,
apply, coverage invariant, and ai_repair_status surfacing without a
drop. Locks the 'MDX 원문 100% 보존' guardrail at unit-multiplicity
granularity (gather copies the list via ``list(...)`` at
src/phase_z2_ai_fallback/step12.py:124 so apply mutations cannot
silently drop it)."""
import src.phase_z2_ai_fallback.step12 as step12_mod
monkeypatch.setattr(step12_mod, "route_ai_fallback", _patched_route_ai_fallback)
unit = _StubUnit(source_section_ids=["MOCK_S1", "MOCK_S2", "MOCK_S3"])
records = _run_step12_ai_repair([unit])
zones = [{
"position": "top",
"template_id": "MOCK_T_reject",
"slot_payload": {"title": "det", "bullets": ["det"]},
}]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
coverage = _check_post_ai_coverage_invariant([unit], records)
assert coverage["pre_ai_section_ids"] == ["MOCK_S1", "MOCK_S2", "MOCK_S3"]
assert coverage["post_ai_section_ids"] == ["MOCK_S1", "MOCK_S2", "MOCK_S3"]
assert coverage["dropped_section_ids"] == []
status = _summarize_ai_repair_status(records, coverage)
assert status["status"] == "applied"
assert status.get("human_review_required") is not True
-174
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@@ -1,174 +0,0 @@
"""IMP-47B u8 — slide_status.ai_repair_status surfacing tests.
Scope (this slice):
Helper ``_summarize_ai_repair_status(ai_repair_records, coverage_invariant)``
(src/phase_z2_pipeline.py) composes u4 gather ``error`` + u5
``apply_status`` + u7 ``coverage_invariant`` into a single
``ai_repair_status`` axis attached to ``slide_status``. Failure-axis
priority (highest → lowest): ``error`` > ``coverage_violated`` >
``unsupported_kind`` > ``applied`` > ``ok``. ``human_review_required``
flips True on the three failure axes for u11 frontend surfacing.
The frontend reads ``slide_status.ai_repair_status`` to render a
notification per the IMP-47B policy ("AI 호출 실패 / proposal validation
실패 / coverage 미달 → frontend notification"). u9~u13 are out of scope.
The helper is pure (no IO, no AI call) so synthetic record / invariant
dicts exercise every branch directly.
"""
from __future__ import annotations
from src.phase_z2_pipeline import _summarize_ai_repair_status
def _record(
*,
unit_index: int = 0,
apply_status: str | None = None,
error: str | None = None,
source_section_ids: list[str] | None = None,
) -> dict:
"""Minimal Step 12 AI repair record stub — fields u8 reads."""
return {
"unit_index": unit_index,
"source_section_ids": source_section_ids or [f"MOCK_S{unit_index}"],
"apply_status": apply_status,
"error": error,
}
_OK_COVERAGE = {"status": "ok", "dropped_section_ids": []}
_VIOLATED_COVERAGE = {"status": "violated", "dropped_section_ids": ["MOCK_S2"]}
# ─── Case 1 : empty pipeline → status='ok' ──────────────────────────
def test_empty_records_returns_ok_no_human_review():
"""No AI work executed → status='ok', human_review_required=False.
The flag-off default (no provisional units) lands here."""
result = _summarize_ai_repair_status([], _OK_COVERAGE)
assert result["status"] == "ok"
assert result["human_review_required"] is False
assert result["counts"]["total"] == 0
assert result["unsupported_kind_records"] == []
assert result["error_records"] == []
assert result["dropped_section_ids"] == []
# ─── Case 2 : applied → status='applied', no human_review ───────────
def test_applied_partial_overrides_marks_applied_no_human_review():
"""Successful AI repair (PARTIAL_OVERRIDES applied) is the happy
path. status='applied', no human_review surfacing."""
records = [_record(apply_status="applied:partial_overrides")]
result = _summarize_ai_repair_status(records, _OK_COVERAGE)
assert result["status"] == "applied"
assert result["human_review_required"] is False
assert result["counts"]["applied"] == 1
assert result["counts"]["error"] == 0
# ─── Case 3 : unsupported kind → status='unsupported_kind' ──────────
def test_unsupported_kind_marks_human_review_required():
"""u5 surfaces ``unsupported_kind_for_reject_route:<kind>`` for
builder_options_patch / slot_mapping_proposal. u8 must classify as
human_review_required so the frontend renders a notification."""
records = [
_record(
unit_index=1,
apply_status="unsupported_kind_for_reject_route:builder_options_patch",
source_section_ids=["MOCK_S1"],
),
]
result = _summarize_ai_repair_status(records, _OK_COVERAGE)
assert result["status"] == "unsupported_kind"
assert result["human_review_required"] is True
assert result["counts"]["unsupported_kind"] == 1
assert result["unsupported_kind_records"] == [
{
"unit_index": 1,
"source_section_ids": ["MOCK_S1"],
"apply_status": "unsupported_kind_for_reject_route:builder_options_patch",
}
]
# ─── Case 4 : gather error → status='error' (highest priority) ──────
def test_gather_error_marks_status_error_with_records():
"""``record['error']`` set means ``gather_step12_ai_repair_proposals``
caught a router exception (AI call / validator). status='error'
is the highest-priority failure axis."""
records = [_record(
unit_index=2,
error="ValueError: missing slot 'title'",
source_section_ids=["MOCK_S2"],
)]
result = _summarize_ai_repair_status(records, _OK_COVERAGE)
assert result["status"] == "error"
assert result["human_review_required"] is True
assert result["counts"]["error"] == 1
assert result["error_records"] == [
{
"unit_index": 2,
"source_section_ids": ["MOCK_S2"],
"error": "ValueError: missing slot 'title'",
}
]
# ─── Case 5 : coverage violated → status='coverage_violated' ────────
def test_coverage_violation_surfaces_dropped_sections():
"""u7 coverage_invariant 'violated' means the AI repair dropped a
section_id from the post-AI superset. dropped 절대 룰 — surface as
human_review_required."""
records = [_record(apply_status="applied:partial_overrides")]
result = _summarize_ai_repair_status(records, _VIOLATED_COVERAGE)
assert result["status"] == "coverage_violated"
assert result["human_review_required"] is True
assert result["coverage_status"] == "violated"
assert result["dropped_section_ids"] == ["MOCK_S2"]
# ─── Case 6 : priority order — error > coverage > unsupported ───────
def test_error_dominates_over_coverage_and_unsupported():
"""When multiple failure axes coexist, priority order is
error > coverage_violated > unsupported_kind > applied > ok."""
records = [
_record(unit_index=0, error="RuntimeError"),
_record(unit_index=1,
apply_status="unsupported_kind_for_reject_route:slot_mapping_proposal"),
_record(unit_index=2, apply_status="applied:partial_overrides"),
]
result = _summarize_ai_repair_status(records, _VIOLATED_COVERAGE)
assert result["status"] == "error"
assert result["human_review_required"] is True
assert result["counts"]["error"] == 1
assert result["counts"]["unsupported_kind"] == 1
assert result["counts"]["applied"] == 1
# ─── Case 7 : no_proposal + no_zone_match counted, not failure ──────
def test_no_proposal_and_no_zone_match_do_not_trigger_human_review():
"""Flag-off short-circuit, not_provisional, route_not_ai_adaptation,
and B4-mismatch (no_zone_match) are structural skips — not AI
failures. They count but do not flip human_review_required."""
records = [
_record(unit_index=0, apply_status="no_proposal"),
_record(unit_index=1, apply_status="no_zone_match"),
]
result = _summarize_ai_repair_status(records, _OK_COVERAGE)
assert result["status"] == "ok"
assert result["human_review_required"] is False
assert result["counts"]["no_proposal"] == 1
assert result["counts"]["no_zone_match"] == 1
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@@ -1,304 +0,0 @@
"""IMP-47B u12 — Initial plan_composition allow_provisional_fill for mixed direct+reject.
Scope (this slice):
The u12 glue inserted in ``run_phase_z2_mvp1`` (src/phase_z2_pipeline.py,
right after the initial plan_composition + telemetry build, before the
Step 7-A layout override block) detects the mixed direct+reject case
(initial plan_composition returns a viable layout but some sections
remain uncovered) and re-runs plan_composition with:
* a lookup_fn that passes ``allow_provisional=True`` (so chain_exhausted
sections synthesize a provisional rank-1 V4Match), and
* ``allow_provisional_fill=True`` (so uncovered sections receive a
last-resort provisional candidate fill in select_composition_units).
This admits the mixed direct+reject case to the AI repair path
(IMP-47B u4/u5) on first render — the reject section becomes a
provisional unit (``provisional=True`` + ``label="reject"``) which Step
12's reject route gather (u4) routes to AI fallback.
Gate predicates (mirrored from src/phase_z2_pipeline.py u12 block):
* units non-empty (all-reject case is handled by IMP-30 u4 retry below)
* layout_preset is not None
* not override_section_assignments (operator override bypasses the gate)
* at least one section_id is uncovered after initial pass
Guardrails proven by these tests:
* MDX 원문 100% 보존 — every section_id covered after mixed admission
(no silent drop).
* 자동 frame swap 금지 — mixed admission only re-runs plan_composition
with provisional flags; rank-1 reject judgment is preserved as the
provisional V4Match (no template_id swap to a different rank).
* Normal-path AI=0 — the mixed admission still emits the reject label;
AI activation is gated separately in router (config.py:19 default OFF).
* All-direct slides are a no-op — gate skips when no uncovered sections.
This test file exercises ``plan_composition`` directly with synthetic
stub V4 matches + a stub lookup_fn that mirrors the u12 retry seam.
Stub naming follows the IMP-30 u3 convention (MOCK_ prefix mandatory,
no real catalog template_id / frame_id leakage).
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Optional
from src.phase_z2_composition import plan_composition
# ─── Synthetic V4Match duck-type (mirrors IMP-30 _StubV4Match) ───────────
@dataclass
class _StubV4Match:
template_id: str
frame_id: str
frame_number: int
confidence: float
label: str
v4_rank: Optional[int] = None
selection_path: str = "rank_1"
fallback_reason: Optional[str] = None
provisional: bool = False
@dataclass
class _StubSection:
section_id: str
title: str = ""
raw_content: str = ""
_LABEL_TO_STATUS = {
"use_as_is": "matched_zone",
"light_edit": "adapt_matched_zone",
"restructure": "extract_matched_zone",
"reject": "fallback_candidate",
}
_ALLOWED_STATUSES = {"matched_zone", "adapt_matched_zone"}
def _make_normal_lookup(matches_by_section: dict[str, _StubV4Match]):
"""Lookup_fn that returns the synthetic rank-1 match (no provisional path).
Mirrors the pipeline initial ``lookup_fn`` at
src/phase_z2_pipeline.py:3456-3465 (no ``allow_provisional`` kwarg).
"""
def _fn(section_id: str):
return matches_by_section.get(section_id)
return _fn
def _make_provisional_lookup(matches_by_section: dict[str, _StubV4Match]):
"""Lookup_fn that flags reject rank-1 matches provisional.
Mirrors the pipeline u12 retry ``_lookup_fn_mixed_admission`` at the
inserted block — for reject judgments, returns a provisional=True
rank-1 V4Match-shaped stub so plan_composition's last-resort fill
pool can see it (provisional candidates are otherwise filtered out
of the normal greedy pass).
"""
def _fn(section_id: str):
m = matches_by_section.get(section_id)
if m is not None and m.label == "reject":
# Synthesize the provisional shape that
# lookup_v4_match_with_fallback returns when allow_provisional
# is True: provisional=True + selection_path="provisional_rank_1".
return _StubV4Match(
template_id=m.template_id,
frame_id=m.frame_id,
frame_number=m.frame_number,
confidence=m.confidence,
label=m.label,
v4_rank=1,
selection_path="provisional_rank_1",
provisional=True,
)
return m
return _fn
def _make_candidates_lookup_empty():
def _fn(section_id: str):
return []
return _fn
# ─── u12 case 1 : mechanic — mixed admission via provisional lookup + fill ────
def test_u12_mechanic_mixed_admission_covers_reject_section_via_provisional_fill():
"""Positive proof. Mixed direct+reject (S1=use_as_is, S2=reject).
Without u12 (initial path: normal lookup + allow_provisional_fill=False),
plan_composition returns only the S1 unit and S2 is silently dropped.
With u12 (retry: provisional lookup + allow_provisional_fill=True),
plan_composition returns both units; S2 is a provisional unit with
label="reject" — ready to be picked up by Step 12's reject route
gather (IMP-47B u4).
"""
sections = [_StubSection("S1"), _StubSection("S2")]
matches = {
"S1": _StubV4Match(
template_id="MOCK_template_direct_a",
frame_id="MOCK_frame_001",
frame_number=1,
confidence=0.92,
label="use_as_is",
v4_rank=1,
),
"S2": _StubV4Match(
template_id="MOCK_template_reject_a",
frame_id="MOCK_frame_002",
frame_number=2,
confidence=0.30,
label="reject",
v4_rank=1,
),
}
# Pre-u12 baseline — normal lookup, no provisional fill.
units_pre, preset_pre, _ = plan_composition(
sections,
_make_normal_lookup(matches),
_LABEL_TO_STATUS,
_ALLOWED_STATUSES,
v4_candidates_lookup_fn=_make_candidates_lookup_empty(),
)
covered_pre = {sid for u in units_pre for sid in u.source_section_ids}
assert "S1" in covered_pre, "S1 (use_as_is) must cover pre-u12"
assert "S2" not in covered_pre, (
"Pre-u12 baseline regression: reject S2 should be uncovered (no provisional fill)"
)
# u12 mixed-admission retry — provisional lookup + allow_provisional_fill=True.
units_post, preset_post, _ = plan_composition(
sections,
_make_provisional_lookup(matches),
_LABEL_TO_STATUS,
_ALLOWED_STATUSES,
v4_candidates_lookup_fn=_make_candidates_lookup_empty(),
allow_provisional_fill=True,
)
covered_post = {sid for u in units_post for sid in u.source_section_ids}
assert covered_post == {"S1", "S2"}, (
"u12 mixed admission must cover every section (no text loss)"
)
assert preset_post is not None
# The S2 unit must be marked provisional so the reject route gather
# (src/phase_z2_ai_fallback/step12.py:133-136) admits it.
s2_unit = next(u for u in units_post if "S2" in u.source_section_ids)
assert s2_unit.provisional is True, (
"Reject S2 unit must be provisional so Step 12 reject route admits it"
)
assert s2_unit.label == "reject"
# Frame template id is preserved — no auto frame swap.
assert s2_unit.frame_template_id == "MOCK_template_reject_a"
# ─── u12 case 2 : gate — all-direct slides are a no-op ──────────────────────
def test_u12_gate_all_direct_yields_no_uncovered_sections():
"""No-op proof. When every section is auto-renderable (use_as_is or
light_edit), the initial plan_composition covers everything — the
u12 mixed-admission gate's ``_u12_uncovered_ids`` list is empty and
the retry is skipped.
"""
sections = [_StubSection("S1"), _StubSection("S2")]
matches = {
"S1": _StubV4Match(
template_id="MOCK_template_direct_a",
frame_id="MOCK_frame_001",
frame_number=1,
confidence=0.92,
label="use_as_is",
v4_rank=1,
),
"S2": _StubV4Match(
template_id="MOCK_template_direct_b",
frame_id="MOCK_frame_002",
frame_number=2,
confidence=0.81,
label="light_edit",
v4_rank=1,
),
}
units, preset, _ = plan_composition(
sections,
_make_normal_lookup(matches),
_LABEL_TO_STATUS,
_ALLOWED_STATUSES,
v4_candidates_lookup_fn=_make_candidates_lookup_empty(),
)
covered = {sid for u in units for sid in u.source_section_ids}
assert covered == {"S1", "S2"}, "All-direct must cover every section pre-u12"
# Predicate from src/phase_z2_pipeline.py u12 block:
uncovered = [s.section_id for s in sections if s.section_id not in covered]
assert uncovered == [], (
"u12 gate must classify all-direct as no-op (uncovered list empty)"
)
assert preset is not None
# ─── u12 case 3 : gate — initial empty units bypass u12 (IMP-30 retry owns it) ──
def test_u12_gate_skips_when_initial_units_empty():
"""All-reject case is owned by IMP-30 u4 retry (units=[] guard at
src/phase_z2_pipeline.py:3646). u12 mixed-admission must NOT compete
with that path; the gate ``units and layout_preset is not None``
short-circuits when the initial plan_composition returns nothing.
"""
sections = [_StubSection("S1")]
matches = {
"S1": _StubV4Match(
template_id="MOCK_template_reject_a",
frame_id="MOCK_frame_002",
frame_number=2,
confidence=0.30,
label="reject",
v4_rank=1,
),
}
units, preset, _ = plan_composition(
sections,
_make_normal_lookup(matches),
_LABEL_TO_STATUS,
_ALLOWED_STATUSES,
v4_candidates_lookup_fn=_make_candidates_lookup_empty(),
)
# All-reject initial pass: no auto-renderable units, no layout preset.
assert units == [] and preset is None
# u12 gate predicate would short-circuit on `units` truthiness:
gate_active = bool(units) and preset is not None
assert gate_active is False, (
"u12 mixed-admission gate must skip the all-reject case (IMP-30 u4 owns it)"
)
# ─── u12 case 4 : code-path anchor — pipeline source contains u12 marker ────
def test_u12_pipeline_source_contains_mixed_admission_marker():
"""Anchor test. Ensures the inserted u12 block in src/phase_z2_pipeline.py
is reachable (not silently removed by a future refactor).
Asserts on the marker comment + ``imp47b_u12_mixed_admission`` debug key
+ ``allow_provisional_fill=True`` invocation co-located in the file.
Cheap structural guard — does not run the heavy pipeline.
"""
from pathlib import Path
src_path = Path(__file__).resolve().parent.parent / "src" / "phase_z2_pipeline.py"
text = src_path.read_text(encoding="utf-8")
assert "IMP-47B u12 — mixed direct+reject first-render admission" in text, (
"u12 marker comment missing from pipeline — block may have been removed"
)
assert "imp47b_u12_mixed_admission" in text, (
"u12 comp_debug telemetry key missing"
)
# The mixed-admission retry must pass allow_provisional_fill=True.
# Anchor against the helper function name + the kwarg co-occurrence.
assert "_lookup_fn_mixed_admission" in text
assert "allow_provisional_fill=True" in text
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"""IMP-47B u3 — override-selected reject frames are admitted as provisional.
Scope (this slice):
Helper `_apply_frame_override_to_unit` (src/phase_z2_pipeline.py) covers
the three probe layers used by the `--override-frame` path:
1. ``v4_candidates`` exact match (non-reject; existing behaviour).
2. Full 32 V4 judgments probe (reject inclusive) — when the user
picks a reject frame, the unit is promoted to
``provisional=True`` with ``label="reject"`` so Step 12
(IMP-47B u4) admits the AI repair path.
3. Raw fall-through (template_id only) — no provisional promotion,
no label mutation.
Frame visual / contract stay untouched per the AI isolation contract
(frame auto-swap forbidden — AI re-places content into the existing
frame only). Sibling test confirms a non-reject override still goes
through the v4_candidates path without provisional promotion.
Synthetic naming convention mirrors tests/test_phase_z2_imp30_first_render.py
(MOCK_ prefix mandatory, no real catalog template_id / frame_id leakage).
"""
from __future__ import annotations
from dataclasses import dataclass, field
from typing import Optional
from src.phase_z2_pipeline import _apply_frame_override_to_unit
@dataclass
class _StubCandidate:
template_id: str
frame_id: str
frame_number: int
confidence: float
label: str
@dataclass
class _StubUnit:
source_section_ids: list[str]
frame_template_id: Optional[str] = None
frame_id: Optional[str] = None
frame_number: int = 0
confidence: float = 0.0
label: Optional[str] = None
provisional: bool = False
v4_candidates: list = field(default_factory=list)
def _v4_with_reject(section_id: str, target_tid: str) -> dict:
"""Synthetic V4 dict with target_tid mapped to a reject judgment.
Mirrors the production V4 schema surface (``mdx_sections`` →
``judgments_full32`` → list of judgment dicts with template_id /
frame_id / frame_number / confidence / label). Two judgments so we
can also assert that the helper picks the reject entry rather than
the first non-reject one when the template_ids differ.
"""
return {
"mdx_sections": {
section_id: {
"judgments_full32": [
{
"template_id": "MOCK_T_other",
"frame_id": "F_other",
"frame_number": 1,
"confidence": 0.85,
"label": "use_as_is",
},
{
"template_id": target_tid,
"frame_id": "F_reject",
"frame_number": 32,
"confidence": 0.40,
"label": "reject",
},
],
},
},
}
# ─── Case 1 : reject override → provisional promotion ────────────
def test_override_to_reject_judgment_marks_unit_provisional():
"""User picks a reject frame → unit.label=reject, provisional=True.
Frame metadata is sourced from the reject judgment (frame_id /
frame_number / confidence) so Step 9 metadata stays consistent.
"""
unit = _StubUnit(
source_section_ids=["MOCK_S1"],
frame_template_id="MOCK_T_auto",
frame_id="F_auto",
frame_number=5,
confidence=0.90,
label="use_as_is",
provisional=False,
)
v4 = _v4_with_reject("MOCK_S1", "MOCK_T_reject")
meta = _apply_frame_override_to_unit(unit, "MOCK_T_reject", v4)
assert meta == "v4_reject_judgment_provisional"
assert unit.frame_template_id == "MOCK_T_reject"
assert unit.frame_id == "F_reject"
assert unit.frame_number == 32
assert unit.confidence == 0.40
assert unit.label == "reject"
assert unit.provisional is True
# ─── Case 2 : non-reject override → existing v4_candidates path ───
def test_override_to_v4_candidate_keeps_non_provisional():
"""User picks a non-reject candidate → existing v4_candidates path.
Helper takes the early v4_candidates branch without consulting the
full 32 judgments. provisional remains False (normal-path AI=0
contract — IMP-30 / IMP-47B router gate intact for this unit).
"""
unit = _StubUnit(
source_section_ids=["MOCK_S2"],
frame_template_id="MOCK_T_auto",
frame_id="F_auto",
frame_number=3,
confidence=0.95,
label="use_as_is",
provisional=False,
v4_candidates=[
_StubCandidate(
template_id="MOCK_T_pick",
frame_id="F_pick",
frame_number=2,
confidence=0.85,
label="light_edit",
),
],
)
v4 = {"mdx_sections": {}} # full-judgment probe must NOT be reached
meta = _apply_frame_override_to_unit(unit, "MOCK_T_pick", v4)
assert meta == "v4_candidates"
assert unit.frame_template_id == "MOCK_T_pick"
assert unit.frame_id == "F_pick"
assert unit.label == "light_edit"
assert unit.provisional is False
# ─── Case 3 : unknown template → raw fall-through (no provisional) ─
def test_override_unknown_template_falls_through_without_provisional():
"""Template ID absent from v4_candidates AND from judgments_full32 →
raw_template_id_only path. No provisional flag, no label change.
"""
unit = _StubUnit(
source_section_ids=["MOCK_S3"],
frame_template_id="MOCK_T_auto",
frame_id="F_auto",
frame_number=4,
confidence=0.92,
label="use_as_is",
provisional=False,
)
v4 = {"mdx_sections": {}}
meta = _apply_frame_override_to_unit(unit, "MOCK_T_unknown", v4)
assert meta == "raw_template_id_only"
assert unit.frame_template_id == "MOCK_T_unknown"
# frame_id / label unchanged — caller's print path warns on this case.
assert unit.frame_id == "F_auto"
assert unit.label == "use_as_is"
assert unit.provisional is False
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"""IMP-47B u5 — PARTIAL_OVERRIDES apply tests.
Scope (this slice):
Helper ``_apply_ai_repair_proposals_to_zones`` (src/phase_z2_pipeline.py)
merges ``proposal.payload.slots`` into ``zones_data[k]["slot_payload"]``
for PARTIAL_OVERRIDES proposals only, and loud-fails out-of-scope
proposal kinds (builder_options_patch, slot_mapping_proposal) with an
explicit ``apply_status`` marker.
The IMP-33 u5 validator inside ``route_ai_fallback`` already enforces
declared-slot completeness — the apply helper is therefore a structural
merge over the validator's contract, not a per-slot guard re-implementation.
u6 (step12_ai_repair.json audit), u7 (coverage invariant), and u8
(slide_status surfacing) are out of scope for this unit.
"""
from __future__ import annotations
from src.phase_z2_pipeline import _apply_ai_repair_proposals_to_zones
def _record(
*,
unit_index: int,
proposal: dict | None,
source_section_ids: list[str] | None = None,
) -> dict:
"""Synthetic gather_step12_ai_repair_proposals record."""
return {
"unit_index": unit_index,
"source_section_ids": source_section_ids or [f"MOCK_S{unit_index}"],
"frame_template_id": "MOCK_T",
"label": "reject",
"route_hint": "ai_adaptation_required",
"provisional": True,
"ai_called": proposal is not None,
"skip_reason": None,
"proposal": proposal,
"error": None,
"cache_key": "MOCK_F::abc" if proposal is not None else None,
"fingerprints": {"contract_sha": "x", "partial_sha": "y", "catalog_sha": ""}
if proposal is not None
else None,
}
def _zone(*, position: str, slot_payload: dict | None = None) -> dict:
"""Synthetic zones_data entry — only fields the apply helper touches."""
return {
"position": position,
"template_id": "MOCK_T",
"slot_payload": slot_payload if slot_payload is not None else {},
}
# ─── Case 1 : PARTIAL_OVERRIDES → merged + applied marker ──────────
def test_partial_overrides_merges_slots_into_zone_slot_payload():
"""The validator already guarantees declared-slot completeness, so
apply is a structural ``dict.update``. Pre-existing meta keys
(``_truncated_count``) survive; declared slot values are replaced
by the AI proposal values."""
proposal = {
"proposal_kind": "partial_overrides",
"payload": {
"slots": {
"title": "AI title",
"bullets": ["AI bullet 1", "AI bullet 2"],
}
},
"rationale": "MOCK",
}
records = [_record(unit_index=0, proposal=proposal)]
zones = [
_zone(
position="top",
slot_payload={
"title": "deterministic title",
"bullets": ["det bullet"],
"_truncated_count": 0,
},
)
]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
assert records[0]["apply_status"] == "applied:partial_overrides"
assert zones[0]["slot_payload"]["title"] == "AI title"
assert zones[0]["slot_payload"]["bullets"] == ["AI bullet 1", "AI bullet 2"]
# meta keys not in proposal must survive the merge
assert zones[0]["slot_payload"]["_truncated_count"] == 0
# ─── Case 2 : BUILDER_OPTIONS_PATCH → loud-fail unsupported_kind ───
def test_builder_options_patch_is_unsupported_for_reject_route():
"""Builder-options application is out-of-scope for IMP-47B reject
route (see Stage 2 plan). u5 must mark, not apply — the zone
slot_payload stays byte-identical and the record carries the
``unsupported_kind_for_reject_route:<kind>`` marker so u8 can
surface human_review downstream."""
proposal = {
"proposal_kind": "builder_options_patch",
"payload": {"font_size_px": 14},
"rationale": "MOCK",
}
records = [_record(unit_index=0, proposal=proposal)]
original_slot_payload = {"title": "deterministic"}
zones = [_zone(position="top", slot_payload=dict(original_slot_payload))]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
assert (
records[0]["apply_status"]
== "unsupported_kind_for_reject_route:builder_options_patch"
)
assert zones[0]["slot_payload"] == original_slot_payload
# ─── Case 3 : SLOT_MAPPING_PROPOSAL → loud-fail unsupported_kind ───
def test_slot_mapping_proposal_is_unsupported_for_reject_route():
"""Slot-mapping (restructuring) application is also out-of-scope —
builder-options + slot-mapping share the same marker path."""
proposal = {
"proposal_kind": "slot_mapping_proposal",
"payload": {"slots": {"title": "x"}},
"rationale": "MOCK",
}
records = [_record(unit_index=0, proposal=proposal)]
zones = [_zone(position="top", slot_payload={"title": "deterministic"})]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
assert (
records[0]["apply_status"]
== "unsupported_kind_for_reject_route:slot_mapping_proposal"
)
assert zones[0]["slot_payload"] == {"title": "deterministic"}
# ─── Case 4 : no proposal (router short-circuit / not_provisional) ──
def test_record_without_proposal_marked_no_proposal_and_zone_untouched():
"""Flag-off short-circuit and non-AI-route units carry
``proposal=None``. apply_status must distinguish "no proposal to
apply" from real apply outcomes so u8 can categorise the per-unit
status without re-reading skip_reason."""
records = [_record(unit_index=0, proposal=None)]
zones = [_zone(position="top", slot_payload={"title": "deterministic"})]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
assert records[0]["apply_status"] == "no_proposal"
assert zones[0]["slot_payload"] == {"title": "deterministic"}
# ─── Case 5 : proposal exists but no matching zone (B4 mismatch) ────
def test_proposal_for_unit_without_zone_match_marked_no_zone_match():
"""When a unit is dropped from zones_data (B4 mismatch or FitError
in the Step 12 render loop) but still gathered an AI proposal,
apply must surface the mismatch via ``no_zone_match`` rather than
silently dropping the proposal or writing into a wrong zone."""
proposal = {
"proposal_kind": "partial_overrides",
"payload": {"slots": {"title": "AI title"}},
"rationale": "MOCK",
}
records = [_record(unit_index=0, proposal=proposal)]
# unit_positions[0]="top" but zones_data has only the bottom zone
# → no match for the dropped unit's position.
zones = [_zone(position="bottom", slot_payload={"title": "other zone"})]
_apply_ai_repair_proposals_to_zones(records, ["top"], zones)
assert records[0]["apply_status"] == "no_zone_match"
# untouched zone — apply must not bleed into a different position
assert zones[0]["slot_payload"] == {"title": "other zone"}
# ─── Case 6 : mixed records — independent per-record classification ──
def test_mixed_records_classified_independently():
"""All five apply_status branches coexist in one batch — confirms
the helper does not short-circuit on the first non-applied record."""
records = [
_record(unit_index=0, proposal={
"proposal_kind": "partial_overrides",
"payload": {"slots": {"title": "AI"}},
"rationale": "",
}),
_record(unit_index=1, proposal={
"proposal_kind": "builder_options_patch",
"payload": {"font_size_px": 14},
"rationale": "",
}),
_record(unit_index=2, proposal=None),
]
zones = [
_zone(position="top", slot_payload={"title": "det"}),
_zone(position="middle", slot_payload={"title": "det"}),
_zone(position="bottom", slot_payload={"title": "det"}),
]
_apply_ai_repair_proposals_to_zones(
records, ["top", "middle", "bottom"], zones,
)
assert [r["apply_status"] for r in records] == [
"applied:partial_overrides",
"unsupported_kind_for_reject_route:builder_options_patch",
"no_proposal",
]
assert zones[0]["slot_payload"]["title"] == "AI"
assert zones[1]["slot_payload"]["title"] == "det"
assert zones[2]["slot_payload"]["title"] == "det"
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"""IMP-47B u4 + u6 — Step 12 AI repair wiring + audit artifact tests.
Scope (this slice):
* u4 — Helper ``_run_step12_ai_repair`` (src/phase_z2_pipeline.py)
wires the pipeline's local route-hint helper (``_imp05_route_hint``),
the frame contract loader (``get_contract``), and a
templates/phase_z2/families partial reader
(``_load_frame_partial_html``) into
``gather_step12_ai_repair_proposals``.
* u6 — The gather records flow into ``_write_step_artifact`` under
``step12_ai_repair.json``. The audit shape must stay
JSON-serialisable (no Pydantic / dataclass leakage) so the artifact
write never raises on real runs.
The router short-circuits when ``settings.ai_fallback_enabled`` is
False (default), so AI=0 for non-AI-route units stays a structural
guarantee. Synthetic naming mirrors tests/test_imp47b_override_provisional.py
(MOCK_ prefix; no real catalog template_id / frame_id leakage).
u5 (PARTIAL_OVERRIDES apply), u7 (coverage invariant), and u8
(slide_status surfacing) are out of scope for this unit.
"""
from __future__ import annotations
import json
from dataclasses import dataclass, field
from src.phase_z2_pipeline import (
_load_frame_partial_html,
_run_step12_ai_repair,
_write_step_artifact,
)
@dataclass
class _StubUnit:
label: str | None
provisional: bool
frame_template_id: str = "MOCK_T_x"
frame_id: str = "MOCK_F_x"
source_section_ids: list[str] = field(default_factory=lambda: ["MOCK_S1"])
raw_content: str = "MOCK_raw"
v4_rank: int | None = 1
cardinality: int | None = None
layout_preset: str = ""
zone_position: str = ""
source_shape: str = "paragraph"
h3_count: int = 0
char_count: int = 0
# ─── Case 1 : mixed units → per-unit skip_reason classification ─────
def test_mixed_units_classified_by_route_and_provisional_flag():
"""Reject + restructure provisional both route to ai_adaptation;
use_as_is / light_edit / non-provisional skip without router call.
With ai_fallback_enabled=False (default) the router returns None,
so the two ai_adaptation provisional units record
``skip_reason='router_short_circuit'``; the rest record their
structural skip_reason (not_provisional / route_not_ai_adaptation).
"""
units = [
_StubUnit(label="use_as_is", provisional=False),
_StubUnit(label="light_edit", provisional=True),
_StubUnit(label="restructure", provisional=True),
_StubUnit(label="reject", provisional=True),
_StubUnit(label="restructure", provisional=False),
]
records = _run_step12_ai_repair(units)
assert [r["skip_reason"] for r in records] == [
"not_provisional",
"route_not_ai_adaptation:deterministic_minor_adjustment",
"router_short_circuit",
"router_short_circuit",
"not_provisional",
]
assert [r["route_hint"] for r in records] == [
"direct_render",
"deterministic_minor_adjustment",
"ai_adaptation_required",
"ai_adaptation_required",
"ai_adaptation_required",
]
assert all(r["ai_called"] is False for r in records)
# ─── Case 2 : reject provisional unit reaches AI gate ───────────────
def test_reject_provisional_unit_reaches_router_short_circuit():
"""Reject + provisional → route_hint=ai_adaptation_required.
Router short-circuit (flag-off default) is the only thing keeping
AI from firing; the wiring proves reject is no longer blocked by
Step 12's bespoke design_reference_only skip (removed by u2).
"""
records = _run_step12_ai_repair([_StubUnit(label="reject", provisional=True)])
assert records[0]["route_hint"] == "ai_adaptation_required"
assert records[0]["skip_reason"] == "router_short_circuit"
assert records[0]["ai_called"] is False
# cache_key / fingerprints populated only after the route + provisional
# gates pass — confirms gather reached the AI-eligible code path.
assert records[0]["cache_key"] is not None
assert records[0]["fingerprints"] is not None
# ─── Case 3 : frame visual loader degrades on missing partial ──────
def test_load_frame_partial_html_returns_empty_for_missing_file():
"""__empty__ shell (IMP-30) and any unknown template_id → "".
Keeps gather() crash-free for the IMP-30 first-render-invariant
path where the synthesized empty-shell unit has no families partial.
"""
assert _load_frame_partial_html("__empty__") == ""
assert _load_frame_partial_html("MOCK_T_does_not_exist") == ""
# ─── Case 4 (u6) : audit artifact write is JSON-serialisable ────────
def test_step12_ai_repair_artifact_writes_json_serialisable_records(tmp_path):
"""IMP-47B u6 — gather records feed ``_write_step_artifact`` as the
``step12_ai_repair.json`` audit. Confirms the gather schema contains
only JSON-native primitives (str / int / None / bool / list / dict)
so the artifact write never raises on real runs and the audit
payload preserves per-unit ``route_hint`` / ``skip_reason`` /
``ai_called`` for reviewers.
"""
records = _run_step12_ai_repair([
_StubUnit(label="reject", provisional=True),
_StubUnit(label="use_as_is", provisional=False),
])
fpath = _write_step_artifact(
tmp_path, 12, "ai_repair",
data={"per_unit": records},
outputs=["step12_ai_repair.json"],
)
assert fpath.is_file()
assert fpath.name == "step12_ai_repair.json"
payload = json.loads(fpath.read_text(encoding="utf-8"))
assert payload["step_num"] == 12
assert payload["step_name"] == "ai_repair"
assert payload["step_status"] == "done"
per_unit = payload["data"]["per_unit"]
assert len(per_unit) == 2
assert per_unit[0]["route_hint"] == "ai_adaptation_required"
assert per_unit[0]["skip_reason"] == "router_short_circuit"
assert per_unit[0]["ai_called"] is False
assert per_unit[1]["route_hint"] == "direct_render"
assert per_unit[1]["skip_reason"] == "not_provisional"
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"""IMP-38 U3 regression — call site cleanup (max_rank=3 제거) 후 policy 활성 검증.
Scenarios:
(A) normal case: rank 1~default_max_rank window 에 usable candidate 충분
→ effective_max_rank=default_max_rank (rank-3-preserved)
→ mdx03 식: rank 1 use_as_is 매칭 정상 case 보호 확인
(B) extended case: rank 1~default_max_rank window 에 usable candidate 0
→ effective_max_rank=effective_extended_ceiling (rank-extended)
→ mdx05-2 식: rank 1~9 미등록/reject + rank 10+ 등록 frame case 처리
4 round 합의 (#67):
- Codex #1: 별 yaml + loader (catalog 오염 방지)
- Codex #2: min(configured, len(judgments)) 정정
- Codex #6: 2 call site cleanup (HEAD 기준 — IMP-47B 가 추가한 3 번째는 별 axis)
- Codex #7: U3 execute ready
"""
from __future__ import annotations
import pytest
@pytest.fixture(autouse=True)
def _reset_policy_cache():
"""Reset module-level _V4_FALLBACK_POLICY_CACHE for test isolation."""
import src.phase_z2_mapper as mapper
mapper._V4_FALLBACK_POLICY_CACHE = None
yield
mapper._V4_FALLBACK_POLICY_CACHE = None
def _make_v4_section(judgments: list[dict]) -> dict:
return {"mdx_sections": {"sec-1": {"judgments_full32": judgments}}}
def _judgment(template_id: str, label: str, confidence: float = 0.5, frame_id: int = 0) -> dict:
return {
"template_id": template_id,
"frame_id": frame_id or (hash(template_id) % 10000),
"frame_number": 0,
"confidence": confidence,
"label": label,
}
# ─── Scenario A — normal case (rank-3-preserved) ──────────────────
def test_normal_case_with_usable_candidates_preserves_default_max_rank():
"""rank 1~3 window 에 usable >= threshold(1) 시 effective_max_rank=default_max_rank(3)."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
from src.phase_z2_mapper import load_frame_contracts
# mdx03 식 — 첫 rank 가 catalog 등록 + use_as_is/light_edit/restructure(allowed)
# 실제 catalog 등록 frame 사용 (catalog hardcode 의존 — 단 frame 32 중 어느 게 등록인지는 yaml 기반)
catalog = load_frame_contracts()
registered_template_ids = [k for k, v in catalog.items() if isinstance(v, dict)]
assert len(registered_template_ids) >= 1, "catalog 등록 frame 1+ 필요 (mdx03 식 fixture)"
# rank 1 = registered frame + use_as_is (auto-renderable)
# rank 2~3 = reject (catalog 등록 무관)
first_registered = registered_template_ids[0]
judgments = [
_judgment(first_registered, "use_as_is", 0.95),
_judgment("dummy_rank2", "reject", 0.3),
_judgment("dummy_rank3", "reject", 0.2),
]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1") # no explicit max_rank → policy
assert trace["policy_applied"] == "default_max_rank", (
f"normal case 에서 default 유지 기대, got {trace['policy_applied']}"
)
assert trace["effective_max_rank"] == trace["default_max_rank"]
assert trace["usable_count"] >= 1
# ─── Scenario B — extended case (rank-extended) ────────────────────
def test_extended_case_with_no_usable_in_default_window_expands_to_ceiling():
"""rank 1~3 window 에 0 usable 시 effective_max_rank=effective_extended_ceiling."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
# mdx05-2 식 — rank 1~3 미등록 (template_id 가 catalog 에 없음) + reject 라벨
# rank 4~ 도 등록 안 됨 (fixture 단순화)
# 다만 judgments_count=10 으로 충분 → effective_extended_ceiling = min(extended, 10) = 10
judgments = [
_judgment(f"unregistered_t{i}", "reject", 0.1 + i * 0.01) for i in range(10)
]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1")
assert trace["policy_applied"] == "extended_max_rank", (
f"extended case 기대, got {trace['policy_applied']}"
)
assert trace["usable_count"] == 0
assert trace["judgments_count"] == 10
# Codex #2 정정: min(configured, 10) — configured 32 면 10, 5 면 5
assert trace["effective_extended_ceiling"] == min(
trace["configured_extended_max_rank"], 10
)
assert trace["effective_max_rank"] == trace["effective_extended_ceiling"]
# ─── Scenario C — call site cleanup byte-identical (caller_override 제거 후 policy 활성) ─
def test_default_call_site_now_uses_policy_after_cleanup():
"""U3 cleanup 후 call site = no explicit max_rank → policy path 자동 활성.
이전: caller 가 max_rank=3 명시 → policy_applied=caller_override
U3 후: caller 가 명시 X → policy_applied=default_max_rank (usable >= 1 시) or extended_max_rank
"""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
judgments = [_judgment(f"unregistered_t{i}", "reject") for i in range(5)]
v4 = _make_v4_section(judgments)
# caller 가 max_rank 명시 X (U3 cleanup 후 production caller 의 새 동작)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1")
assert trace["policy_applied"] in {"default_max_rank", "extended_max_rank"}
assert trace["policy_applied"] != "caller_override", (
"U3 cleanup 후 production caller = no explicit, policy path 활성 기대"
)
# ─── Scenario D — explicit caller_override 여전히 동작 (test path 보호) ────
def test_explicit_caller_override_still_works_for_tests():
"""test 에서 explicit max_rank=N 보낼 시 caller_override 그대로 동작 (backward compat)."""
from src.phase_z2_pipeline import lookup_v4_match_with_fallback
judgments = [_judgment(f"unregistered_t{i}", "reject") for i in range(10)]
v4 = _make_v4_section(judgments)
_match, trace = lookup_v4_match_with_fallback(v4, "sec-1", max_rank=5)
assert trace["policy_applied"] == "caller_override"
assert trace["effective_max_rank"] == 5
-109
View File
@@ -1,109 +0,0 @@
"""IMP-38 U1 — v4_fallback_policy.yaml loader test.
Verify:
- load_v4_fallback_policy() returns dict with expected keys
- yaml parsed correctly (usable_threshold, default_max_rank, extended_max_rank, policy_type)
- graceful fallback when yaml missing → _V4_FALLBACK_POLICY_DEFAULT
- _V4_FALLBACK_POLICY_CACHE pattern (lazy load, mirror of _CATALOG_CACHE)
- load_frame_contracts() shape unchanged (separate yaml, catalog 오염 X)
4 round 합의 (#67):
- Codex #1: separate yaml (not frame_contracts.yaml top-level)
- Codex #3: load_frame_contracts() shape 변경 X
"""
from __future__ import annotations
import importlib
from pathlib import Path
from unittest.mock import patch
import pytest
PROJECT_ROOT = Path(__file__).parent.parent
V4_POLICY_PATH = PROJECT_ROOT / "templates" / "phase_z2" / "catalog" / "v4_fallback_policy.yaml"
CATALOG_PATH = PROJECT_ROOT / "templates" / "phase_z2" / "catalog" / "frame_contracts.yaml"
def _reset_caches():
"""Reset module-level caches for test isolation."""
import src.phase_z2_mapper as mapper
mapper._V4_FALLBACK_POLICY_CACHE = None
mapper._CATALOG_CACHE = None
@pytest.fixture(autouse=True)
def clean_caches():
_reset_caches()
yield
_reset_caches()
def test_v4_fallback_policy_yaml_exists():
"""IMP-38 U1 — separate yaml file must exist."""
assert V4_POLICY_PATH.exists(), (
f"v4_fallback_policy.yaml not found at {V4_POLICY_PATH}. "
"IMP-38 U1 expects separate yaml (Codex #1 corr — not frame_contracts.yaml top-level)."
)
def test_load_v4_fallback_policy_returns_dict_with_expected_keys():
"""load_v4_fallback_policy() must return dict with policy keys."""
from src.phase_z2_mapper import load_v4_fallback_policy
policy = load_v4_fallback_policy()
assert isinstance(policy, dict)
expected_keys = {"policy_type", "usable_threshold", "default_max_rank", "extended_max_rank"}
missing = expected_keys - set(policy.keys())
assert not missing, f"missing keys in v4_fallback_policy: {missing}"
def test_load_v4_fallback_policy_values_match_yaml():
"""Loaded policy values must match v4_fallback_policy.yaml (initial commit)."""
from src.phase_z2_mapper import load_v4_fallback_policy
policy = load_v4_fallback_policy()
assert policy["policy_type"] == "dynamic_usable_count_based"
assert policy["usable_threshold"] == 1
assert policy["default_max_rank"] == 3
assert policy["extended_max_rank"] == 32
def test_load_v4_fallback_policy_cache_pattern():
"""_V4_FALLBACK_POLICY_CACHE pattern — second call returns same dict (lazy load)."""
from src.phase_z2_mapper import load_v4_fallback_policy
policy_a = load_v4_fallback_policy()
policy_b = load_v4_fallback_policy()
assert policy_a is policy_b, "cache pattern violated (should return same dict instance)"
def test_load_v4_fallback_policy_graceful_when_yaml_missing():
"""yaml 파일 없을 시 → _V4_FALLBACK_POLICY_DEFAULT (extended_max_rank=3, byte-identical pre-IMP-38)."""
import src.phase_z2_mapper as mapper
with patch.object(mapper, "V4_FALLBACK_POLICY_PATH", PROJECT_ROOT / "tests" / "__nonexistent_policy.yaml"):
# reset cache to force reload via patched path
mapper._V4_FALLBACK_POLICY_CACHE = None
policy = mapper.load_v4_fallback_policy()
assert policy["default_max_rank"] == 3
assert policy["extended_max_rank"] == 3, (
"graceful fallback must keep extended==default (byte-identical pre-IMP-38)"
)
def test_load_frame_contracts_shape_unchanged():
"""Codex #3 LOCK — load_frame_contracts() must still return template_id → entry dict."""
from src.phase_z2_mapper import load_frame_contracts, load_v4_fallback_policy
catalog = load_frame_contracts()
policy = load_v4_fallback_policy()
# catalog 의 key 가 모두 frame entry (dict with template_id/frame_id) 여야 함
for key, entry in catalog.items():
assert isinstance(entry, dict), f"catalog entry {key} should be dict"
assert "template_id" in entry, f"catalog entry {key} missing template_id (policy bleed?)"
# policy keys 는 catalog 에 안 들어감
policy_keys = {"policy_type", "usable_threshold", "default_max_rank", "extended_max_rank"}
catalog_top_keys = set(catalog.keys())
bleed = policy_keys & catalog_top_keys
assert not bleed, (
f"policy keys leaked into frame_contracts.yaml: {bleed}. "
"Codex #1 corr violated — policy must stay in separate v4_fallback_policy.yaml."
)