core/tests/test_narrative_example_intents.py
Shay d5a6e81b33 feat(adr-0067): cross-pack teaching chains — Plan Phase 4 closed
ADR-0064 bound each teaching corpus 1:1 to a single ratified pack;
chains whose subject + object resolved to different packs were
dropped at load time. Phases 1–3 ratified the per-pack DAGs needed
to lift that constraint safely.

ADR-0067 introduces a deliberately narrow cross-pack chain shape.
Each entry carries explicit subject_pack_id and object_pack_id
fields, and the loader verifies per-chain residency. Same-pack
entries are rejected as corpus-misfilings (anti-leakage). The
cross-pack composer is the fall-through after the in-pack composer,
so the cognition lane stays byte-identical.

Files:
- chat/cross_pack_grounding.py — CrossPackChain + loader +
  single-chain composer + multi-chain enumerators
- teaching/cross_pack_chains/cross_pack_chains_v1.jsonl — 5 seed
  chains (family×identity, parent×understanding, family×memory,
  identity×family, understanding×parent)
- chat/runtime.py — fall-through wiring in CAUSE/VERIFICATION
- chat/narrative_surface.py, chat/example_surface.py — merge
  cross-pack chains, per-chain pack-residency helpers
- tests/test_cross_pack_chains.py — 31 tests covering loader,
  surface, multi-chain access, runtime integration, in-pack
  precedence
- tests/test_narrative_example_intents.py — corpus-tag assertions
  widened to allow cross-pack aggregation

Verification:
- 31 new tests pass
- Curated lanes: smoke 67 / cognition 121 / teaching 17 / packs 6 /
  runtime 19 — all green
- Cognition eval byte-identical (public 100/100/91.7/100, holdout
  100/100/83.3/100)
- Full lane: 2098 passed, 2 skipped, 0 failed in 2:30
2026-05-18 17:22:43 -07:00

248 lines
8.9 KiB
Python

"""Phase 3.3 + 3.4 — NARRATIVE and EXAMPLE intent + composer tests.
The contracts pinned here:
NARRATIVE
- "Tell me about X" / "Describe X" / "What can you say about X"
classify as NARRATIVE before falling through to DEFINITION.
- Composer walks every reviewed chain rooted on X across all
registered teaching corpora; emits up to max_clauses unique
(predicate, object) clauses; deterministic ordering.
- Falls through to OOV invitation when X is unknown.
EXAMPLE
- "Give me an example of X" / "Show an instance of X" /
"Example of X" classify as EXAMPLE before DEFINITION.
- Composer surfaces chains where X is the OBJECT (reverse-chain
access pattern); dedupes by subject; deterministic ordering.
- Falls through to OOV invitation when X is unknown.
Both
- Surface composes only pack atoms + verbatim chain content +
fixed template — no content synthesis.
- Tagged ``grounding_source="teaching"`` (same provenance as
teaching_grounded_surface — both consume the reviewed corpora).
"""
from __future__ import annotations
import pytest
from chat.example_surface import example_grounded_surface
from chat.narrative_surface import narrative_grounded_surface
from chat.runtime import ChatRuntime
from generate.intent import IntentTag, classify_intent
# ---------------------------------------------------------------------------
# Intent classification
# ---------------------------------------------------------------------------
@pytest.mark.parametrize("prompt", [
"Tell me about light.",
"Tell me about parent",
"Describe truth",
"Describe photosynthesis.",
"What can you say about wisdom?",
"What do you know about memory?",
])
def test_narrative_patterns_classify_narrative(prompt: str) -> None:
intent = classify_intent(prompt)
assert intent.tag is IntentTag.NARRATIVE
assert intent.subject
@pytest.mark.parametrize("prompt", [
"Give me an example of truth.",
"Show me an instance of knowledge.",
"Show an example of parent.",
"Example of meaning",
])
def test_example_patterns_classify_example(prompt: str) -> None:
intent = classify_intent(prompt)
assert intent.tag is IntentTag.EXAMPLE
assert intent.subject
def test_narrative_pattern_precedes_definition() -> None:
"""``What can you say about X?`` could match the generic
``what is/are X`` pattern — assert NARRATIVE wins on the more
specific pattern."""
intent = classify_intent("What can you say about light?")
assert intent.tag is IntentTag.NARRATIVE
# ---------------------------------------------------------------------------
# NARRATIVE composer — pure function
# ---------------------------------------------------------------------------
def test_narrative_aggregates_multiple_chains() -> None:
"""``truth`` appears as the subject of multiple cognition chains;
the narrative composer emits a clause for each."""
surface = narrative_grounded_surface("truth")
assert surface is not None
assert "narrative-grounded (cognition_chains_v1)" in surface
assert "truth grounds knowledge" in surface
assert "truth requires evidence" in surface
def test_narrative_dedupes_by_predicate_object() -> None:
"""When cause + verification carry the same (connective, object),
only one clause is emitted."""
surface = narrative_grounded_surface("light")
assert surface is not None
# (light, cause, reveals, truth) + (light, verification, reveals, truth)
# → one clause "light reveals truth", not two.
assert surface.count("light reveals truth") == 1
def test_narrative_handles_relations_pack_subject() -> None:
surface = narrative_grounded_surface("parent")
assert surface is not None
# ADR-0067 — ``parent`` is the subject of both the in-pack chain
# ``parent precedes child`` (relations_chains_v1) and the cross-
# pack chain ``parent grounds understanding`` (cross_pack_chains_v1).
# The narrative composer aggregates both; the corpus tag reflects
# both binding sources.
assert "relations_chains_v1" in surface
assert "parent precedes child" in surface
def test_narrative_handles_relations_v2_subject() -> None:
surface = narrative_grounded_surface("mother")
assert surface is not None
assert "narrative-grounded (relations_chains_v2)" in surface
assert "mother precedes daughter" in surface
def test_narrative_unknown_lemma_returns_none() -> None:
assert narrative_grounded_surface("photosynthesis") is None
assert narrative_grounded_surface("xyzunknown") is None
def test_narrative_empty_input_returns_none() -> None:
assert narrative_grounded_surface("") is None
assert narrative_grounded_surface(" ") is None
def test_narrative_is_deterministic() -> None:
a = narrative_grounded_surface("truth")
b = narrative_grounded_surface("truth")
assert a == b
def test_narrative_max_clauses_caps_output() -> None:
"""``max_clauses=1`` should emit just the lexicographically-first
clause for a multi-chain subject."""
full = narrative_grounded_surface("truth", max_clauses=8)
capped = narrative_grounded_surface("truth", max_clauses=1)
assert full is not None
assert capped is not None
assert capped != full
assert len(capped) < len(full)
# ---------------------------------------------------------------------------
# EXAMPLE composer — pure function
# ---------------------------------------------------------------------------
def test_example_surfaces_reverse_chain() -> None:
"""``truth`` appears as the object of ``light reveals truth`` —
the example composer surfaces the chain inverted (X = object)."""
surface = example_grounded_surface("truth")
assert surface is not None
assert "example-grounded (cognition_chains_v1)" in surface
assert "light reveals truth" in surface
def test_example_aggregates_multiple_subjects() -> None:
"""``knowledge`` appears as the object of multiple chains; the
example composer dedupes by subject."""
surface = example_grounded_surface("knowledge")
assert surface is not None
# truth/understanding/evidence all relate to knowledge as object.
assert "knowledge" in surface
# Each is listed once at most.
subjects = ["truth", "understanding", "evidence"]
found = [s for s in subjects if f"{s}" in surface]
assert len(found) >= 1
def test_example_handles_relations_object() -> None:
"""``parent`` appears as object of ``child follows parent`` +
``family grounds parent`` — multiple examples. ADR-0067 added
``understanding requires parent`` (cross-pack), which is also
aggregated; the corpus tag widens to reflect both bindings."""
surface = example_grounded_surface("parent")
assert surface is not None
assert "relations_chains_v1" in surface
assert "parent" in surface
def test_example_unknown_object_returns_none() -> None:
assert example_grounded_surface("photosynthesis") is None
assert example_grounded_surface("xyzunknown") is None
def test_example_is_deterministic() -> None:
a = example_grounded_surface("truth")
b = example_grounded_surface("truth")
assert a == b
def test_example_max_examples_caps_output() -> None:
capped = example_grounded_surface("knowledge", max_examples=1)
full = example_grounded_surface("knowledge", max_examples=8)
assert capped is not None
assert full is not None
assert len(capped) <= len(full)
# ---------------------------------------------------------------------------
# Live runtime — NARRATIVE
# ---------------------------------------------------------------------------
def test_runtime_narrative_on_known_subject_routes_to_teaching() -> None:
rt = ChatRuntime()
resp = rt.chat("Tell me about truth.")
assert resp.grounding_source == "teaching"
assert "narrative-grounded" in resp.surface
assert "truth" in resp.surface
def test_runtime_narrative_on_oov_routes_to_oov_invitation() -> None:
rt = ChatRuntime()
resp = rt.chat("Describe photosynthesis.")
assert resp.grounding_source == "oov"
assert "photosynthesis" in resp.surface
assert "PackMutationProposal" in resp.surface
# ---------------------------------------------------------------------------
# Live runtime — EXAMPLE
# ---------------------------------------------------------------------------
def test_runtime_example_on_known_object_routes_to_teaching() -> None:
rt = ChatRuntime()
resp = rt.chat("Give me an example of truth.")
assert resp.grounding_source == "teaching"
assert "example-grounded" in resp.surface
assert "light reveals truth" in resp.surface
def test_runtime_example_on_oov_routes_to_oov_invitation() -> None:
rt = ChatRuntime()
resp = rt.chat("Example of photosynthesis")
assert resp.grounding_source == "oov"
def test_runtime_example_on_relations_object() -> None:
rt = ChatRuntime()
resp = rt.chat("Give me an example of parent.")
assert resp.grounding_source == "teaching"
assert "relations_chains_v1" in resp.surface