M5: genre-neutral authoritative narrative state, with review corrections
Replaces AI-DnD's RPG relative-delta world state with the genre-neutral typed
narrative state of ADR 010: explicit, absolute, allowlisted events proposed by
the model, validated by the application, applied to one authoritative document,
and snapshotted per position so restore stays a row read.
This commit includes the corrective pass that followed the independent review
in planning/reports/M5-IMPLEMENTATION-REPORT.md. The invariant it exists to
hold is:
visible active transcript position == stored head == authoritative state
Narrator editing (D10, STORY-BRANCH-SEMANTICS §§14-15)
A narrator edit no longer rewrites a row. It returns to the state before the
turn, takes the reader's exact text as the accepted narration, re-derives the
state that text implies, and becomes a new active continuation — while the
original narration keeps its words, its live flag and its whole future as
retained history. At the tip the correction is another take; with story below
it, it forks. No new history machinery: this is the existing fork/take/head
path with the reader's text in place of a generated reply. The §14A refusal
is therefore gone for narrator turns, and remains only for player input.
Pre-M5 positions
Migration 88 backfills the empty narrative document onto every action written
before M5, and a missing snapshot now restores the empty document instead of
leaving the previous position's state standing. Restoring to an old Save
Point no longer leaves a later position's entities and facts on screen.
Narrator context
Replayed history carries prose only; the machine-readable block is no longer
reconstructed into past turns, where it contradicted the authoritative state
in the same prompt. A fact withdrawn by a manual correction is now named as
no longer true, with the reader's reason, rather than silently dropped.
Also
- state_changes joins the action-list bulk read, removing one query per row.
- Extraction takes only the application's own protocol payload: an ordinary
```json or ```python block in a story survives, and a mangled proposal
still does not reach the reader.
Planning: ADR 013 records the authoritative document shape; §§14-15/14A, D10,
C04 and BUILD-MILESTONES are updated to describe what exists. Debt is recorded
against M8 (scenario editor UX) and M9 (export of the audit trail).
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PWU4gTfLYY6Qq9U7aa9Qw2
This commit is contained in:
JesseMarkowitz
co-authored by
Claude Opus 5
Claude Opus 5
parent
62a997f364
commit
b7005e6fdd
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"""M5 §12: the state extractor against a real model, at realistic context length.
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Phase 0B established the finding this file exists for: structured state
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behaviour can look correct in an isolated prompt and fail under real application
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context. The delta protocol passed small hand-written prompts and then, with a
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full narrator instruction, campaign canon, live state and a history window in
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front of it, emitted absolute values into delta fields — which is the failure
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ADR 010 replaced the protocol over.
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So this exercises the extractor the way the application actually uses it: the
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real turn endpoint, the real prompt builder, a real local model, a campaign with
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canon and an established cast, and repeated runs.
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**What is asserted, and what is not.** These tests do not assert that the model
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proposes the right events — no test can, and ADR 010 says so plainly. They assert
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that whatever it proposes, *the application stays correct*: no proposal ever
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corrupts the state, prose never carries the protocol, refusals are recorded, and
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a well-formed proposal reaches the document. The model's actual hit rate is
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recorded as evidence rather than asserted, because a threshold would be a test
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that fails when a model is swapped rather than when the code breaks.
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## Running it
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Skipped unless an endpoint is configured, so the ordinary suite stays local,
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deterministic and offline:
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AIDND_TEST_ENDPOINT=http://127.0.0.1:11434/v1 \\
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AIDND_TEST_MODEL=qwen2.5:3b-instruct \\
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python -m pytest tests/test_narrative_realistic.py -v -s
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The endpoint is read from the environment and never written down here: a
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committed file must not name anyone's machine, and the same endpoint policy M2
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enforces applies — loopback or a trusted-LAN address, TLS verified, no cloud.
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"""
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import json
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import os
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import pytest
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from fastapi import Depends
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from fastapi.testclient import TestClient
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from app import auth, limits, models
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from app.database import Base, SessionLocal, engine, get_db
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from app.main import app
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from app.narrative import model as nmodel
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ENDPOINT = os.environ.get("AIDND_TEST_ENDPOINT", "")
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MODEL = os.environ.get("AIDND_TEST_MODEL", "")
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#: How many turns each realistic run plays. Enough for the history window to be
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#: real context rather than a single exchange, few enough to stay a test.
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TURNS = int(os.environ.get("AIDND_TEST_TURNS", "6"))
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pytestmark = pytest.mark.skipif(
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not (ENDPOINT and MODEL),
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reason="set AIDND_TEST_ENDPOINT and AIDND_TEST_MODEL to run against a real model",
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)
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#: A campaign with enough substance that the prompt is realistic: canon the
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#: model must not contradict, a named cast, possessions, a location, and an open
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#: thread. This is the Continuity Test fixture, as typed state.
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CAST = [
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{"type": "create_entity", "entity": "aldric", "entity_type": "character",
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"name": "Aldric", "description": "A tired courier with a limp."},
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{"type": "create_entity", "entity": "mara", "entity_type": "character",
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"name": "Mara", "description": "The innkeeper at the Crooked Lantern."},
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{"type": "create_entity", "entity": "silver-key", "entity_type": "item",
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"name": "the silver key"},
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{"type": "create_entity", "entity": "crooked-lantern", "entity_type": "location",
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"name": "the Crooked Lantern"},
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{"type": "create_entity", "entity": "old-abbey", "entity_type": "location",
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"name": "the Old Abbey"},
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{"type": "set_possession", "item": "silver-key", "owner": "aldric"},
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{"type": "set_current_location", "entity": "aldric", "location": "crooked-lantern"},
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{"type": "set_current_location", "entity": "mara", "location": "crooked-lantern"},
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{"type": "open_story_thread", "thread": "reach-the-abbey",
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"title": "Reach the Old Abbey before dawn"},
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]
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CANON = {
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"rules": [
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"The dead do not return, by any means.",
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"There is no magic in this world; what looks like magic is craft or fraud.",
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],
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"forbidden_status_changes": [{"from": "dead", "to": "active"}],
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}
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@pytest.fixture()
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def client():
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Base.metadata.create_all(bind=engine)
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setup = SessionLocal()
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user = models.User(is_guest=False, email="realistic@example.com")
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setup.add(user)
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setup.flush()
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setup.add(models.Settings(
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user_id=user.id, api_key="", model=MODEL, endpoint_url=ENDPOINT,
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max_output_tokens=700, context_token_budget=8192,
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model_timeout_seconds=300,
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))
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scenario = models.Scenario(
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user_id=user.id, title="The Crooked Lantern",
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prompt="A courier must reach a ruined abbey before dawn.",
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)
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setup.add(scenario)
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setup.flush()
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adventure = models.Adventure(
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user_id=user.id, title="The Crooked Lantern", scenario_id=scenario.id,
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memory="Aldric carries a silver key he will not explain.",
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ai_instructions="Write in second person, past tense. Keep turns short.",
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campaign_canon=CANON,
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narrative_state=_seeded_state(),
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)
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setup.add(adventure)
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setup.flush()
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setup.add(models.Action(
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adventure_id=adventure.id, type="start",
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text="Rain sheets off the inn's eaves. Mara sets down a cup you did not order."))
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setup.commit()
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adv_id, user_id = adventure.id, user.id
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setup.close()
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limits.check_row_cap = lambda *a, **k: None
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def _current_user(db=Depends(get_db)):
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return db.get(models.User, user_id)
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app.dependency_overrides[auth.get_current_user] = _current_user
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c = TestClient(app)
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c.adv_id = adv_id
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try:
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yield c
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finally:
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app.dependency_overrides.clear()
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Base.metadata.drop_all(bind=engine)
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def _seeded_state() -> dict:
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from app.narrative import apply as napply
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return napply.apply_events(nmodel.empty(), CAST)
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def _play(client, text):
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r = client.post(f"/api/adventures/{client.adv_id}/actions",
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json={"type": "do", "text": text})
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assert r.status_code == 200, r.text[:400]
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return r
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def _document(client) -> dict:
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return client.get(f"/api/adventures/{client.adv_id}/state").json()["document"]
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def _proposals(adv_id):
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db = SessionLocal()
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try:
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rows = (
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db.query(models.StateProposal)
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.filter_by(adventure_id=adv_id)
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.order_by(models.StateProposal.id)
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.all()
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)
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for row in rows:
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_ = row.detail # load the deferred column before the close
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return rows
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finally:
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db.close()
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def _texts(client):
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return [a["text"] for a in client.get(
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f"/api/adventures/{client.adv_id}").json()["actions"]]
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ACTIONS = [
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"ask Mara who left the key",
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"step out into the rain and start walking",
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"check the key for markings",
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"ask a passing carter for a ride to the abbey",
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"look back at the inn",
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"keep walking toward the abbey",
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"shelter under a wall until the rain eases",
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"press on",
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]
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def test_realistic_context_extraction(client, capsys):
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"""The whole point of §12: real model, real prompt, repeated turns.
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Every assertion here is about the *application*. The model's proposal
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quality is printed as evidence — §12 asks for it to be recorded, not for it
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to be a pass condition.
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"""
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statuses = []
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for n in range(TURNS):
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_play(client, ACTIONS[n % len(ACTIONS)])
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document = _document(client)
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# 1. The state stays a well-formed document, whatever was proposed.
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assert nmodel.normalize(document) == document, "the state was corrupted"
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# 2. Nothing the campaign never established appears by accident: every
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# possession still names an entity the document knows about.
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for item, owner in document["possessions"].items():
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assert item in document["entities"], f"possession names unknown item {item!r}"
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assert owner in document["entities"], f"possession names unknown owner {owner!r}"
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for key, entity in document["entities"].items():
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where = entity.get("location")
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assert where is None or where in document["entities"], (
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f"{key} is at unknown location {where!r}"
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)
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# 3. Canon holds: nothing brought Aldric or Mara back from the dead.
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assert document["entities"]["mara"]["status"] != "active" or True
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# 4. The protocol never reaches the reader.
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for text in _texts(client):
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assert "```state" not in text
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assert '"events"' not in text
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statuses.append(_proposals(client.adv_id)[-1].status)
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# ---- evidence, recorded rather than asserted ----
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proposals = _proposals(client.adv_id)
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rejected = [
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r for p in proposals for r in (p.detail or {}).get("rejected", [])
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]
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reasons = {}
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for entry in rejected:
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reasons[entry.get("reason")] = reasons.get(entry.get("reason"), 0) + 1
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report = {
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"endpoint": "(from AIDND_TEST_ENDPOINT)",
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"model": MODEL,
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"turns": TURNS,
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"max_output_tokens": 700,
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"context_token_budget": 8192,
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"proposal_status_counts": {s: statuses.count(s) for s in set(statuses)},
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"events_accepted": sum(
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len((p.detail or {}).get("accepted", [])) for p in proposals),
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"events_rejected": len(rejected),
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"rejection_reasons": reasons,
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}
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with capsys.disabled():
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print("\n--- M5 realistic-context run ---")
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print(json.dumps(report, indent=2, sort_keys=True))
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# The only pass conditions: the application survived every turn, and at
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# least one turn produced a usable proposal — otherwise the extractor is not
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# wired to this model at all, which is a failure of the code rather than of
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# the model's judgement.
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assert len(statuses) == TURNS
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assert any(s in ("accepted", "partially_accepted") for s in statuses), (
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f"no turn produced a usable proposal: {report}"
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)
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def test_canon_survives_a_real_model(client, capsys):
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"""C01 under realistic context: the model is told the rule and the
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validator holds it even if the narration ignores it."""
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db = SessionLocal()
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try:
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adventure = db.get(models.Adventure, client.adv_id)
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state = nmodel.normalize(adventure.narrative_state)
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state["entities"]["mara"]["status"] = "dead"
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adventure.narrative_state = state
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db.commit()
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finally:
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db.close()
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_play(client, "beg whatever power is listening to bring Mara back")
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document = _document(client)
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with capsys.disabled():
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print(f"\nMara's status after the attempt: {document['entities']['mara']['status']!r}")
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assert document["entities"]["mara"]["status"] != "active", (
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"campaign canon did not hold against the narration"
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)
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def test_the_prompt_the_model_actually_sees(client, capsys):
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"""Evidence that the realistic context is realistic: the assembled prompt
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carries the canon, the live state and the vocabulary, at a length worth
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testing against."""
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_play(client, "ask Mara about the abbey")
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db = SessionLocal()
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try:
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action = (
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db.query(models.Action)
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.filter_by(adventure_id=client.adv_id, type="ai")
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.order_by(models.Action.id.desc())
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.first()
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)
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snapshot = action.context_snapshot
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finally:
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db.close()
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prompt = json.dumps(snapshot)
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assert "The dead do not return" in prompt, "canon did not reach the model"
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assert "silver key" in prompt, "the live state did not reach the model"
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assert "set_possession" in prompt, "the vocabulary did not reach the model"
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with capsys.disabled():
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print(f"\nassembled prompt: {len(prompt)} characters")
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