feat(schema): trait_templates + atlas_body_trait_bias tables + bake (#993)
D-232 architecture-flavor storage mechanism (content is #1005/#1017): - trait_templates: shared catalog of holistic template bundles — two-tier eligibility (hard gates bulk_class/prosperity_bps/ubiquity + soft weight mods), zone_affinity, allow/block tags, visual_bundle. List/map fields are JSON; all numerics integer basis-points (D-010). - atlas_body_trait_bias: sparse per-body hero pins — pin/boost/suppress with basis-point multiplier ranges (boost ≤3×, suppress ≥0.33× never 0). - Baked at import (steps 14/15) from wiki/economics/architecture_trait_ catalog.toml + architecture_trait_bias.toml. FK-validated (body_id → bodies, template_tag → trait_templates), enum + multiplier-range checks, graceful on absent source. Source location provisional pending Q-107; the baked tables are invariant per D-232. Retires the round-2 atlas_body_culture tables. - Catalog ships a 3-template bootstrap seed to prove the bake end-to-end; the full ~35-template catalog is #1005, hero pins #1017. - Stamp sources updated (IMPORT_ECONOMICS_SOURCES + GENERATOR_SOURCES). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -56,6 +56,9 @@ GENERATOR_SOURCES: dict[str, list[Path]] = {
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# with IMPORT_ECONOMICS_SOURCES in tooling/economy-db/import_economics.py.
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REPO_ROOT / "wiki" / "economics" / "specialization_vocabulary.toml",
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REPO_ROOT / "wiki" / "economics" / "system_specialization.toml",
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# D-232 architecture-flavor trait catalog + hero bias (#993).
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REPO_ROOT / "wiki" / "economics" / "architecture_trait_catalog.toml",
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REPO_ROOT / "wiki" / "economics" / "architecture_trait_bias.toml",
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],
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}
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@@ -45,6 +45,10 @@ COMMODITIES_TOML = REPO_ROOT / "wiki" / "economics" / "commodities.toml"
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CHAINS_TOML = REPO_ROOT / "wiki" / "economics" / "production_chains.toml"
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SPECIALIZATION_VOCAB_TOML = REPO_ROOT / "wiki" / "economics" / "specialization_vocabulary.toml"
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SYSTEM_SPECIALIZATION_TOML = REPO_ROOT / "wiki" / "economics" / "system_specialization.toml"
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# D-232 architecture-flavor trait-template catalog + sparse hero bias (#993).
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# Source-location is provisional pending Q-107; the baked tables are invariant.
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ARCHITECTURE_TRAIT_CATALOG_TOML = REPO_ROOT / "wiki" / "economics" / "architecture_trait_catalog.toml"
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ARCHITECTURE_TRAIT_BIAS_TOML = REPO_ROOT / "wiki" / "economics" / "architecture_trait_bias.toml"
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SCHEMA_SQL = REPO_ROOT / "server" / "data" / "systems-schema.sql"
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CORPORATIONS_DIR = REPO_ROOT / "wiki" / "corporations"
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WIKI_STAR_SYSTEMS = REPO_ROOT / "wiki" / "star-systems"
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@@ -90,6 +94,8 @@ IMPORT_ECONOMICS_SOURCES: tuple[Path, ...] = (
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# GENERATOR_SOURCES["import_economics"] in tooling/check-systems-db-stamp.
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SPECIALIZATION_VOCAB_TOML,
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SYSTEM_SPECIALIZATION_TOML,
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ARCHITECTURE_TRAIT_CATALOG_TOML,
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ARCHITECTURE_TRAIT_BIAS_TOML,
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)
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@@ -371,6 +377,45 @@ CREATE TABLE IF NOT EXISTS atlas_city_positions (
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);
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CREATE INDEX IF NOT EXISTS idx_atlas_city_positions_body ON atlas_city_positions(body_id);
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-- Architecture-flavor trait templates (D-232, #993). trait_templates = the
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-- shared catalog (baked from architecture_trait_catalog.toml); atlas_body_trait_bias
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-- = sparse per-body hero pins (#1017). List/map fields are JSON; numerics are
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-- integer basis-points (D-010). Retires the round-2 atlas_body_culture tables.
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DROP TABLE IF EXISTS atlas_body_culture_era;
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DROP TABLE IF EXISTS atlas_body_culture;
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CREATE TABLE IF NOT EXISTS trait_templates (
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tag TEXT PRIMARY KEY,
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label TEXT NOT NULL,
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cultural_description TEXT,
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corridor_pool TEXT NOT NULL DEFAULT 'baseline',
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geographic_sector TEXT,
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bulk_class_gate TEXT,
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production_ubiquity_gate TEXT,
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min_prosperity_bps INTEGER NOT NULL DEFAULT 0,
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base_weight INTEGER NOT NULL DEFAULT 10000,
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weight_mods TEXT,
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zone_affinity TEXT,
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allow_tags TEXT,
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block_tags TEXT,
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era_scope TEXT,
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visual_bundle TEXT,
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updated_at TEXT NOT NULL DEFAULT (datetime('now'))
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);
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CREATE INDEX IF NOT EXISTS idx_trait_templates_pool ON trait_templates(corridor_pool);
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CREATE INDEX IF NOT EXISTS idx_trait_templates_sector ON trait_templates(geographic_sector);
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CREATE TABLE IF NOT EXISTS atlas_body_trait_bias (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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body_id TEXT NOT NULL REFERENCES bodies(body_id) ON DELETE CASCADE,
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template_tag TEXT NOT NULL REFERENCES trait_templates(tag) ON DELETE CASCADE,
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bias_kind TEXT NOT NULL,
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weight_multiplier_bps INTEGER,
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note TEXT,
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updated_at TEXT NOT NULL DEFAULT (datetime('now')),
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UNIQUE (body_id, template_tag)
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);
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CREATE INDEX IF NOT EXISTS idx_atlas_body_trait_bias_body ON atlas_body_trait_bias(body_id);
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CREATE INDEX IF NOT EXISTS idx_atlas_body_trait_bias_tag ON atlas_body_trait_bias(template_tag);
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-- Normalize bodies.economic_role to the D-194 canonical 10-value set (#911).
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-- Idempotent: each UPDATE is a no-op if the old value is already gone.
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UPDATE bodies SET economic_role = 'agricultural' WHERE economic_role IN ('agriculture', 'mixed-agriculture');
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@@ -2015,6 +2060,139 @@ def _specialization_checks(conn, vocab, systems, strict):
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)
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# ---------------------------------------------------------------------------
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# Architecture-flavor trait templates (D-232, #993)
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# ---------------------------------------------------------------------------
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_TRAIT_CORRIDOR_POOLS = {"baseline", "heritage", "cross_corridor"}
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_TRAIT_BIAS_KINDS = {"pin", "boost", "suppress"}
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# JSON-encoded list/map columns on trait_templates (TOML inline arrays/tables ->
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# JSON text the generator parses).
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_TRAIT_JSON_LIST = ("bulk_class_gate", "production_ubiquity_gate", "allow_tags", "block_tags")
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_TRAIT_JSON_MAP = ("weight_mods", "zone_affinity", "visual_bundle")
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def populate_trait_templates(conn: sqlite3.Connection, dry_run: bool) -> int:
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"""Bake the D-232 architecture-flavor catalog into trait_templates (#993).
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Reads ARCHITECTURE_TRAIT_CATALOG_TOML (`[templates.<tag>]` stanzas) and
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rebuilds the table. List/map fields are stored as JSON text; numeric
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eligibility is integer basis-points (D-010). The catalog *content* is
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authored in #1005 — this baker is the mechanism. Absent source -> 0 rows
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(the table still exists for the downstream pipeline). Deterministic rebuild:
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clears trait_templates (cascading atlas_body_trait_bias) first.
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"""
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if dry_run:
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# Still surface row count that WOULD be baked.
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pass
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conn.execute("DELETE FROM atlas_body_trait_bias")
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conn.execute("DELETE FROM trait_templates")
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if not ARCHITECTURE_TRAIT_CATALOG_TOML.exists():
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return 0
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with open(ARCHITECTURE_TRAIT_CATALOG_TOML, "rb") as f:
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data = tomllib.load(f)
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templates = data.get("templates", {})
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errors: list[str] = []
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rows = []
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for tag, t in templates.items():
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pool = t.get("corridor_pool", "baseline")
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if pool not in _TRAIT_CORRIDOR_POOLS:
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errors.append(f"trait_templates '{tag}': corridor_pool '{pool}' invalid")
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if "label" not in t:
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errors.append(f"trait_templates '{tag}': missing required 'label'")
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for k in (*_TRAIT_JSON_LIST, *_TRAIT_JSON_MAP):
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# any provided list/map field must JSON-encode cleanly
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if k in t:
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try:
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json.dumps(t[k])
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except (TypeError, ValueError):
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errors.append(f"trait_templates '{tag}': field '{k}' not JSON-serialisable")
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rows.append((
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tag, t.get("label", ""), t.get("cultural_description"),
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pool, t.get("geographic_sector"),
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json.dumps(t["bulk_class_gate"]) if t.get("bulk_class_gate") else None,
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json.dumps(t["production_ubiquity_gate"]) if t.get("production_ubiquity_gate") else None,
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int(t.get("min_prosperity_bps", 0)),
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int(t.get("base_weight", 10000)),
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json.dumps(t["weight_mods"]) if t.get("weight_mods") else None,
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json.dumps(t["zone_affinity"]) if t.get("zone_affinity") else None,
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json.dumps(t["allow_tags"]) if t.get("allow_tags") else None,
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json.dumps(t["block_tags"]) if t.get("block_tags") else None,
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t.get("era_scope"),
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json.dumps(t["visual_bundle"]) if t.get("visual_bundle") else None,
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))
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if errors:
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print(f" TRAIT TEMPLATE ERRORS ({len(errors)}):")
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for e in errors:
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print(f" - {e}")
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raise _ImportAborted()
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conn.executemany(
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"""INSERT INTO trait_templates
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(tag, label, cultural_description, corridor_pool, geographic_sector,
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bulk_class_gate, production_ubiquity_gate, min_prosperity_bps,
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base_weight, weight_mods, zone_affinity, allow_tags, block_tags,
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era_scope, visual_bundle)
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VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""",
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rows,
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)
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return len(rows)
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def populate_atlas_body_trait_bias(conn: sqlite3.Connection, dry_run: bool) -> int:
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"""Bake the sparse per-body hero pins into atlas_body_trait_bias (#993).
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Reads ARCHITECTURE_TRAIT_BIAS_TOML (`[[bias]]` array). FK-validates body_id
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against bodies and template_tag against trait_templates (which must be baked
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first), and validates bias_kind + the basis-point multiplier ranges
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(boost 10001..30000 = <=3x; suppress 3300..9999 = >=0.33x never 0; pin: no
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multiplier). Hero-pin *content* is authored in #1017. Absent source -> 0
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rows. Must run AFTER populate_trait_templates.
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"""
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conn.execute("DELETE FROM atlas_body_trait_bias")
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if not ARCHITECTURE_TRAIT_BIAS_TOML.exists():
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return 0
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with open(ARCHITECTURE_TRAIT_BIAS_TOML, "rb") as f:
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data = tomllib.load(f)
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entries = data.get("bias", [])
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body_ids = {r[0] for r in conn.execute("SELECT body_id FROM bodies")}
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tags = {r[0] for r in conn.execute("SELECT tag FROM trait_templates")}
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errors: list[str] = []
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rows = []
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seen = set()
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for i, b in enumerate(entries):
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bid = b.get("body_id")
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tag = b.get("template_tag")
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kind = b.get("bias_kind")
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mult = b.get("weight_multiplier_bps")
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loc = f"bias[{i}] ({bid}/{tag})"
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if bid not in body_ids:
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errors.append(f"{loc}: body_id not in bodies")
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if tag not in tags:
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errors.append(f"{loc}: template_tag not in trait_templates")
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if kind not in _TRAIT_BIAS_KINDS:
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errors.append(f"{loc}: bias_kind '{kind}' invalid (pin|boost|suppress)")
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if (bid, tag) in seen:
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errors.append(f"{loc}: duplicate (body_id, template_tag)")
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seen.add((bid, tag))
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if kind == "boost" and not (mult and 10001 <= mult <= 30000):
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errors.append(f"{loc}: boost weight_multiplier_bps must be 10001..30000 (<=3x), got {mult}")
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if kind == "suppress" and not (mult and 3300 <= mult <= 9999):
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errors.append(f"{loc}: suppress weight_multiplier_bps must be 3300..9999 (>=0.33x, never 0), got {mult}")
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rows.append((bid, tag, kind, mult, b.get("note")))
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if errors:
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print(f" TRAIT BIAS ERRORS ({len(errors)}):")
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for e in errors:
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print(f" - {e}")
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raise _ImportAborted()
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conn.executemany(
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"""INSERT INTO atlas_body_trait_bias
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(body_id, template_tag, bias_kind, weight_multiplier_bps, note)
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VALUES (?,?,?,?,?)""",
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rows,
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)
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return len(rows)
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# ---------------------------------------------------------------------------
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# Main
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# ---------------------------------------------------------------------------
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@@ -2193,6 +2371,15 @@ def main():
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n_updated, n_inserted = populate_atlas_city_names_corps(conn, args.dry_run)
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print(f" {n_updated} rows updated, {n_inserted} reserved rows inserted")
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# 14. Architecture-flavor trait templates (D-232, #993). Catalog first,
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# then sparse per-body hero bias (FK -> trait_templates + bodies).
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print(" [14/15] Baking trait_templates catalog (D-232)...")
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n_templates = populate_trait_templates(conn, args.dry_run)
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print(f" {n_templates} trait templates")
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print(" [15/15] Baking atlas_body_trait_bias hero pins (D-232)...")
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n_bias = populate_atlas_body_trait_bias(conn, args.dry_run)
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print(f" {n_bias} body trait-bias rows")
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# Validate structural integrity (FK, chain refs, chain completeness).
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# These errors indicate broken imported data — do NOT commit.
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print("\n Validating structural integrity...")
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