simulator/fixtures.py

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+"""Deterministic synthetic catalog so the selection model can be felt everywhere.
+
+The real catalog (catalog/library.jsonl) is empty; this generates one record per
+cell of the 5x5 brain x 5x5 mood coordinate space (625 records), with a seeded
+mix of content modes and review statuses and no real media attached.
+"""
+
+from __future__ import annotations
+
+import random
+
+from hef.catalog import Record
+
+MODES = ("audio", "video", "av")
+ARCHIVES = ("internet_archive", "musopen", "librivox", "nasa", "freesound")
+
+_LEFT_WORDS = ("Treatise", "Lecture", "Field Notes", "Reading", "Documentary")
+_RIGHT_WORDS = ("Reverie", "Nocturne", "Bloom", "Drift", "Aurora")
+
+
+def _title(left: int, right: int, dark: int, light: int, mode: str) -> str:
+    a = _LEFT_WORDS[left] if left >= right else _RIGHT_WORDS[right]
+    return f"{a} ({mode}) L{left}R{right}D{dark}Li{light}"
+
+
+def generate_fixture_catalog(seed: int = 1729) -> list[Record]:
+    """One valid Record per coordinate cell (625 total), deterministic for a seed."""
+    rng = random.Random(seed)
+    records: list[Record] = []
+    n = 0
+    for left in range(5):
+        for right in range(5):
+            for dark in range(5):
+                for light in range(5):
+                    mode = rng.choice(MODES)
+                    status = rng.choice(("proposed", "approved"))
+                    is_video = mode in ("video", "av")
+                    records.append(
+                        Record(
+                            id=f"fx-{n:04d}",
+                            title=_title(left, right, dark, light, mode),
+                            source_url=f"https://example.test/fx/{n:04d}",
+                            source_archive=rng.choice(ARCHIVES),
+                            license="public_domain",
+                            mode=mode,
+                            left=left,
+                            right=right,
+                            dark=dark,
+                            light=light,
+                            duration_s=rng.choice((300, 480, 600, 720, 900)),
+                            file_path="",
+                            review_status=status,
+                            resolution="1920x1080" if is_video else "",
+                            rationale=f"fixture at ({left},{right},{dark},{light})",
+                            reviewed_at="2026-06-04T00:00:00Z" if status == "approved" else None,
+                        )
+                    )
+                    n += 1
+    return records

tests/test_fixtures.py

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+from hef.catalog import validate_catalog
+from hef.selection import CONTENT_MODES
+from simulator.fixtures import generate_fixture_catalog
+
+
+def test_fixture_catalog_is_valid():
+    records = generate_fixture_catalog()
+    validate_catalog(records)  # raises on any invalid record or duplicate id
+
+
+def test_fixture_catalog_spans_the_coordinate_space():
+    records = generate_fixture_catalog()
+    coords = {(r.left, r.right, r.dark, r.light) for r in records}
+    # all 625 cells of the 5x5 brain x 5x5 mood space are present
+    assert len(coords) == 625
+
+
+def test_fixture_catalog_has_every_content_mode():
+    records = generate_fixture_catalog()
+    present = {r.mode for r in records}
+    assert CONTENT_MODES <= present
+
+
+def test_fixture_catalog_mixes_review_statuses():
+    records = generate_fixture_catalog()
+    statuses = {r.review_status for r in records}
+    assert statuses == {"proposed", "approved"}
+
+
+def test_fixture_catalog_references_no_real_media():
+    records = generate_fixture_catalog()
+    assert all(r.file_path == "" for r in records)
+
+
+def test_fixture_catalog_is_deterministic():
+    a = generate_fixture_catalog(seed=42)
+    b = generate_fixture_catalog(seed=42)
+    assert [r.id for r in a] == [r.id for r in b]
+    assert [r.mode for r in a] == [r.mode for r in b]
+    assert [r.review_status for r in a] == [r.review_status for r in b]