feat(tooling): per-system gttr context + cosmopolitan corridor palettes (#833)

Two related quality fixes observed mid-run on Sirius + ACB + Ran:

1) Cosmopolitan corridor palettes. The six corridor inflection labels
were single-culture dominant ("administrative English / Gateway-era",
"British / Australian / Irish", "Korean/Japanese/Taiwanese", etc).
Gemma 2 2B interpreted these as "produce ONLY in this register" and
every core body came out anglophone, every east_reach body came out
East Asian. The real Earth diaspora in the setting is cosmopolitan —
a British surveyor on an east_reach moon still names a river after
their aunt in Dorset. The labels now spell out the dominant register
AND explicitly invite cross-cultural variety so Gemma samples from
the full few-shot pool instead of collapsing to one culture.

2) Per-system gttr context (the big one). The gttr.md files under
wiki/star-systems/<slug>/gttr.md already carry a vivid one-sentence
characterisation of every system — "where the rules live", "forty
years old and still in the draft", "the most connected system in
the Reach", "grandparents owned the land". This is a far stronger
cultural signal than the corridor inflection alone.

New column `star_systems.gttr_hook` stores a pre-extracted 45-word
hook per system. `tooling/db/populate_gttr_hook.py` parses each
gttr.md, regex-matches the first `**NAME**` paragraph, normalises
whitespace, truncates softly at a word cap, and stores it. Covers
all 301 systems (full coverage). Idempotent, safe to re-run after
any wiki update. Explicit transaction wrapper.

gemma_naming.py loads the hook cache at startup via
`load_system_gttr_hooks` and threads `system_hook` plus the system
and body proper names through process_body → name_feature →
_build_prompt. The prompt now carries:

    System: <proper_name>. Planet: <body_name>.
    About the system: <gttr_hook>

    Style: British. Answer: Cooper's Creek
    Style: Dutch.   Answer: Meijer Beek
    ...

Real-mode smoke on 10 cases across 4 contrasting systems shows the
hook is doing exactly what it should. Sample output on the same
body_id / local_id pairs:

  Tau Ceti     (cosmopolitan hub)         → Oakham River, Riverwood, Bridle Way
  Ran          (old-family agricultural)  → Hart's Well, Blackwood Ridge
  ACB          (Lattice Commission seat)  → Greenhaven, Rudge Brook
  Posto Avançado (PT frontier dead-end)   → Rio Preto, Serra de Caxias, Cunha's Cove

Posto Avançado went from "likely-English under the old corridor-only
prompt" to actual Portuguese names with a real Brazilian place stem
(Caxias), because the hook explicitly mentions wave_5 Portuguese
founders and frontier dead-end context. The gttr cultural one-liner
is the single strongest lever available for per-system cohesion —
this was the mono-culture issue observed in the first run, now fixed.

Token cost: ~60-90 extra tokens per prompt (hook + ident line).
Inference slowdown: ~5-10% per call. Acceptable for the quality gain.

Also restores 10 markers.json files that were stale from the aborted
run just killed — they were all core bodies at hop 0-1 which benefit
most from the gttr-context upgrade, so re-running them with the new
prompt is worth the ~3 minutes of re-inference.

server/data/systems-schema.sql

@@ -38,6 +38,15 @@ CREATE TABLE IF NOT EXISTS star_systems (
     cultural_corridor TEXT,
     generation_priority TEXT,
 
+    -- Short narrative hook extracted from the wiki's gttr.md file — the
+    -- first characterisation paragraph ("where the rules live", "forty
+    -- years old and still in the draft", etc). Populated by
+    -- tooling/db/populate_gttr_hook.py from wiki/star-systems/<slug>/gttr.md.
+    -- Used as compact cultural context in the Gemma 2 naming pipeline
+    -- (#833) so per-system feel is grounded in the canonical identity
+    -- rather than generic corridor labels.
+    gttr_hook TEXT,
+
     -- Economics (D-172)
     currency_zone TEXT DEFAULT 'TRACTUS_PRIMARY',  -- TRACTUS_PRIMARY | MARK_PRIMARY | MIXED
 

tooling/db/populate_gttr_hook.py

@@ -0,0 +1,215 @@
+#!/usr/bin/env python3
+"""
+Extract a short narrative hook from every wiki/star-systems/<slug>/gttr.md
+and store it on `star_systems.gttr_hook`.
+
+The GTTR ("Drifter's Guide to the Reach") files follow a consistent
+format: an H1 title, then a paragraph that opens with `**NAME**` followed
+by a 1-3 sentence characterisation. That characterisation is the hook —
+per D-191 §4 and the #833 naming pipeline it is the single strongest
+cultural signal available for each system, capturing things like:
+
+  - Gateway: "the most connected system in the Reach, the site of its
+    oldest research institution, and the location of a gate that goes
+    to Earth and that nobody uses"
+  - Ran: "a very nice place to live, provided you are the sort of
+    person whose grandparents owned the land"
+  - ACB: "where the Lattice Commission lives, which means it is where
+    the rules live"
+  - Posto Avançado: "forward post — the place beyond the established
+    line"
+
+This script parses each gttr.md, regex-extracts the first `**NAME**`
+paragraph, normalises whitespace, and truncates at a soft word cap so
+the hook stays cheap to inject into prompts. Empty or unmatched files
+leave the column NULL.
+
+Idempotent, safe to re-run after any wiki update. Explicit transaction
+wrapper with rollback on exception.
+
+Usage:
+    tooling/db/populate_gttr_hook.py
+    tooling/db/populate_gttr_hook.py --max-words 45
+    tooling/db/populate_gttr_hook.py --dry-run
+    tooling/db/populate_gttr_hook.py --system "GJ 71"
+"""
+
+import argparse
+import re
+import sqlite3
+import sys
+from pathlib import Path
+
+SCRIPT_DIR = Path(__file__).resolve().parent
+REPO_ROOT = (SCRIPT_DIR / ".." / "..").resolve()
+DB_PATH = REPO_ROOT / "server" / "data" / "systems.db"
+WIKI_SYSTEMS = REPO_ROOT / "wiki" / "star-systems"
+
+# Matches the first paragraph that opens with `**NAME**` at the start
+# of a line. Captures everything up to a blank line or the next H1/H2.
+# Non-greedy on the content.
+# Match a line that opens with `**NAME**` (any non-asterisk chars, since
+# names contain accents from many alphabets — Á, Ž, Ç, Ñ, etc) followed
+# by the paragraph body up to a blank line or the next markdown heading.
+_HOOK_RE = re.compile(
+    r"^\*\*([^\n*]+?)\*\*(.+?)(?:\n\n|\n#)",
+    re.DOTALL | re.MULTILINE,
+)
+
+
+def _system_slug_to_system_id(slug: str) -> str:
+    """Convert 'GJ-244A' → 'GJ 244A'. Mirrors populate_terrain_reference.py."""
+    if slug.startswith("GJ-"):
+        return "GJ " + slug[3:]
+    return slug
+
+
+def extract_hook(gttr_path: Path, max_words: int) -> str | None:
+    """Return a compact one-paragraph hook for this gttr.md, or None if
+    the file is missing or the opening paragraph can't be located."""
+    if not gttr_path.exists():
+        return None
+    text = gttr_path.read_text()
+
+    match = _HOOK_RE.search(text)
+    if not match:
+        return None
+
+    name_token = match.group(1).strip()
+    body = match.group(2).strip()
+
+    # Reconstruct "NAME is …" without the markdown asterisks. Add a
+    # single space between the name and the body since `.strip()` above
+    # removed the leading space from the captured body.
+    hook = f"{name_token} {body}"
+
+    # Collapse whitespace so multi-line paragraphs become one clean line.
+    hook = re.sub(r"\s+", " ", hook).strip()
+
+    # Strip a leading orphan "is" that comes from `**NAME**` + " is …":
+    # the regex captures the word "is" on its own because the opener is
+    # typically `**GATEWAY** (known as Tau Ceti...) is the most connected…`.
+    # Normal reading already works — this is just hygiene.
+    hook = re.sub(r"\s*\(\s*\)\s*", " ", hook)
+
+    # Hard cap at max_words. Truncate at the last word boundary before
+    # the cap and append an ellipsis so the reader knows it continues.
+    words = hook.split()
+    if len(words) > max_words:
+        hook = " ".join(words[:max_words]).rstrip(",;:") + "…"
+
+    return hook
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Populate star_systems.gttr_hook from wiki gttr.md files"
+    )
+    parser.add_argument("--db", default=str(DB_PATH), help="Path to systems.db")
+    parser.add_argument(
+        "--system",
+        help="Process only this system_id (e.g. 'GJ 71')",
+    )
+    parser.add_argument(
+        "--max-words",
+        type=int,
+        default=45,
+        help="Soft cap on hook length (default: 45 words)",
+    )
+    parser.add_argument(
+        "--dry-run",
+        action="store_true",
+        help="Extract and print but do not write to the DB",
+    )
+    parser.add_argument(
+        "--verbose",
+        action="store_true",
+        help="Print every extracted hook",
+    )
+    args = parser.parse_args()
+
+    db_path = Path(args.db)
+    if not db_path.exists():
+        print(f"error: {db_path} not found", file=sys.stderr)
+        sys.exit(1)
+
+    conn = sqlite3.connect(str(db_path), timeout=30.0)
+    conn.execute("PRAGMA journal_mode=WAL")
+    conn.execute("PRAGMA busy_timeout=15000")
+    conn.execute("PRAGMA foreign_keys=ON")
+
+    # Ensure the column exists — idempotent ADD COLUMN for old DBs.
+    try:
+        conn.execute("ALTER TABLE star_systems ADD COLUMN gttr_hook TEXT")
+    except sqlite3.OperationalError:
+        pass  # column already exists
+
+    print(f"\n  populate_gttr_hook.py")
+    print(f"  DB:        {db_path}")
+    print(f"  max words: {args.max_words}")
+    if args.dry_run:
+        print(f"  Mode:      DRY RUN")
+    print()
+
+    rows = conn.execute(
+        "SELECT system_id, proper_name FROM star_systems ORDER BY system_id"
+    ).fetchall()
+    if args.system:
+        rows = [r for r in rows if r[0] == args.system]
+
+    updated = 0
+    missing = 0
+    unmatched = 0
+
+    conn.execute("BEGIN")
+    try:
+        for system_id, proper_name in rows:
+            slug = system_id.replace(" ", "-", 1)
+            gttr_path = WIKI_SYSTEMS / slug / "gttr.md"
+
+            hook = extract_hook(gttr_path, args.max_words)
+            if hook is None:
+                if not gttr_path.exists():
+                    missing += 1
+                    if args.verbose:
+                        print(f"  MISSING {system_id:10s}  {gttr_path}")
+                else:
+                    unmatched += 1
+                    if args.verbose:
+                        print(f"  UNMATCHED {system_id:10s}  {gttr_path}")
+                continue
+
+            if args.verbose:
+                display = f"{system_id} ({proper_name})" if proper_name else system_id
+                print(f"  {display}")
+                print(f"    → {hook}")
+
+            if not args.dry_run:
+                conn.execute(
+                    "UPDATE star_systems SET gttr_hook = ? WHERE system_id = ?",
+                    (hook, system_id),
+                )
+            updated += 1
+
+        if args.dry_run:
+            conn.rollback()
+        else:
+            conn.commit()
+    except BaseException:
+        conn.rollback()
+        conn.close()
+        raise
+
+    conn.close()
+
+    print(f"\n  Done:")
+    print(f"    updated:   {updated}")
+    print(f"    missing:   {missing}")
+    print(f"    unmatched: {unmatched}")
+    if args.dry_run:
+        print(f"\n  Dry run — no DB writes.")
+    print()
+
+
+if __name__ == "__main__":
+    main()

tooling/planet-gen/gemma_naming.py

@@ -137,44 +137,66 @@ class Logger:
 # source of corridor identity in systems.db (cultural_corridor is a
 # legacy field that was never populated beyond sol-gateway-axis).
 CORRIDOR_PALETTES: dict[str, dict[str, str]] = {
+    # IMPORTANT: the inflection is a DOMINANT bias, not a hard lock.
+    # Earlier iterations used single-culture labels like
+    # "administrative English" or "Korean/Japanese/Taiwanese" which
+    # Gemma 2 2B interpreted as "produce ONLY in this register" — and
+    # every core body came out anglophone, every east_reach body came
+    # out East Asian, etc. The real Earth diaspora in the setting is
+    # cosmopolitan: a British surveyor on an east_reach moon still
+    # names a river after their aunt in Dorset. The inflections now
+    # explicitly name the dominant register AND invite diaspora
+    # variety so Gemma samples from the full cross-cultural few-shot
+    # pool instead of collapsing to the dominant label.
     "core": {
-        # NOTE the style label is deliberately plain: earlier versions used
-        # "institutional Latin / pan-Anglo / Gateway-era" which biased
-        # Gemma 2 2B toward Latinate coinages like "Aureus" / "Aetheria".
-        # "Administrative English" gets prosaic output that matches the
-        # settler-named frontier feel the core corridor actually has.
-        "inflection": "administrative English / Gateway-era",
-        "examples": "Meridian, Concord, East Ridge, Landing, Old Gate, Foreman's Run",
+        "inflection": "Gateway-era Earth diaspora, mostly English, "
+                      "all Earth cultures welcome",
+        "examples": "Meridian, Concord, East Ridge, Landing, Tanaka, "
+                    "Rahman, Okafor, Ribeiro",
     },
     "north_reach": {
-        "inflection": "British / Australian / Irish",
-        "examples": "Wolcott, Mildern, Ashbourne, Kiln, Briarfell, Tarndale",
+        "inflection": "British/Australian/Irish dominant, all Earth "
+                      "cultures welcome",
+        "examples": "Wolcott, Mildern, Ashbourne, Kiln, Briarfell, "
+                    "Tarndale, Ribeiro, Nakamura, Kowalski",
     },
     "south_reach": {
-        "inflection": "Portuguese / Swahili / Cape Verdean / Brazilian",
-        "examples": "Vargas, Inhaca, Monteforte, Serra, Ribeiro, Kilimi",
+        "inflection": "Portuguese/Swahili/Cape Verdean/Brazilian "
+                      "dominant, all Earth cultures welcome",
+        "examples": "Vargas, Inhaca, Monteforte, Serra, Ribeiro, "
+                    "Kilimi, Holmberg, Fairview, Tanaka",
     },
     "east_reach": {
-        "inflection": "Korean / Japanese / Taiwanese",
-        "examples": "Hanyang, Takamine, Seoraksan, Tsukuri, Ginoza, Baektu",
+        "inflection": "Korean/Japanese/Taiwanese dominant, all Earth "
+                      "cultures welcome",
+        "examples": "Hanyang, Takamine, Seoraksan, Tsukuri, Ginoza, "
+                    "Baektu, Kellogg, Oliveira, Novak",
     },
     "west_reach": {
-        "inflection": "German / Dutch / Nordic",
-        "examples": "Vanebach, Kloosterdam, Bergfjord, Hellekade, Straend",
+        "inflection": "German/Dutch/Nordic dominant, all Earth cultures "
+                      "welcome",
+        "examples": "Vanebach, Kloosterdam, Bergfjord, Hellekade, "
+                    "Straend, Cooper, Vargas, Nakamura",
     },
     "deep_frontier": {
-        "inflection": "founder-surname + noun (e.g. 'Okafor Reach', 'Stenner Cross')",
-        "examples": "Okafor Reach, Stenner Cross, Weller Hold, Pruitt Basin, Vickery Hold",
+        "inflection": "frontier founder-name era, any Earth culture",
+        "examples": "Okafor Reach, Stenner Cross, Weller Hold, Pruitt "
+                    "Basin, Vickery Hold, Kellogg Run, Nakamura Post, "
+                    "Ribeiro Landing",
     },
     # Legacy keys retained for backward compatibility with the
     # cultural_corridor column on the one system that uses it.
     "sol-gateway-axis": {
-        "inflection": "administrative English / Gateway-era",
-        "examples": "Meridian, Concord, East Ridge, Landing, Old Gate, Foreman's Run",
+        "inflection": "Gateway-era Earth diaspora, mostly English, "
+                      "all Earth cultures welcome",
+        "examples": "Meridian, Concord, Cardinal, Prefecture, Tanaka, "
+                    "Rahman, Okafor",
     },
     "inner_corridor": {
-        "inflection": "administrative English",
-        "examples": "Meridian, Concord, East Ridge, Landing, Old Gate",
+        "inflection": "Gateway-era Earth diaspora, mostly English, "
+                      "all Earth cultures welcome",
+        "examples": "Meridian, Concord, East Ridge, Landing, Tanaka, "
+                    "Rahman, Okafor",
     },
 }
 
@@ -657,6 +679,9 @@ def _build_prompt(
     body_id: str,
     local_id: str,
     attempt: int,
+    system_hook: str | None = None,
+    system_name: str | None = None,
+    body_name: str | None = None,
 ) -> str:
     """Assemble a few-shot prompt for the given feature type.
 
@@ -664,6 +689,15 @@ def _build_prompt(
     (body_id, local_id, attempt) — this puts a finger on the sampling
     scales so neighbouring features on the same body don't all draw
     from an identical prompt and collapse to identical outputs.
+
+    `system_hook` is the pre-extracted gttr.md characterisation for
+    this system (e.g. "RAN is, by all accounts, a very nice place to
+    live, provided you are the sort of person whose grandparents owned
+    the land"). When present it gets woven into the preamble so Gemma
+    has per-system cultural context — this is the single biggest lever
+    for producing names that feel like they belong to THIS world rather
+    than any world in this corridor. When absent the prompt degrades to
+    the corridor inflection alone.
     """
     cfg = _PROMPT_CONFIG.get(feature_type)
     if cfg is None:
@@ -684,6 +718,25 @@ def _build_prompt(
     # singular possessive ones ("their capital town"). Heuristic: if the
     # subject starts with "their", use "called"; otherwise "named".
     verb = "called" if subject.startswith("their ") else "named"
+
+    # Context block. When system / body proper names are available,
+    # label them explicitly so Gemma has the canonical identifiers in
+    # addition to the gttr hook. Redundancy helps on a small model —
+    # the hook already opens with the system name but putting it in a
+    # labeled "System:" line makes it harder to gloss over. When the
+    # gttr hook exists too, it goes on its own line as the cultural
+    # one-liner.
+    context_lines: list[str] = []
+    ident_parts = []
+    if system_name:
+        ident_parts.append(f"System: {system_name}")
+    if body_name:
+        ident_parts.append(f"Planet: {body_name}")
+    if ident_parts:
+        context_lines.append(". ".join(ident_parts) + ".")
+    if system_hook:
+        context_lines.append(f"About the system: {system_hook}")
+
     preamble = (
         f"Settlers {verb} {subject} after themselves, after what they saw, "
         f"or after places back home. Most names are mundane, short, and "
@@ -694,6 +747,9 @@ def _build_prompt(
     )
 
     lines = [preamble, ""]
+    if context_lines:
+        lines.extend(context_lines)
+        lines.append("")
     for style, example in pool:
         lines.append(f"Style: {style}.   Answer: {example}")
     lines.append("")
@@ -1207,6 +1263,7 @@ def name_feature(
     body_used: set[str],
     stem_counts: dict[str, int],
     stem_cap: int,
+    system_hook: str | None,
     world_seed: int,
     body_id: str,
     local_id: str,
@@ -1272,6 +1329,9 @@ def name_feature(
             body_id=body_id,
             local_id=local_id,
             attempt=attempt,
+            system_hook=system_hook,
+            system_name=ctx.get("system_proper_name"),
+            body_name=ctx.get("body_proper_name"),
         )
         try:
             raw = voice.request(prompt, seed)
@@ -1359,6 +1419,26 @@ def load_body_context(body_id: str, system_id: str, conn: sqlite3.Connection) ->
     }
 
 
+def load_system_gttr_hooks(conn: sqlite3.Connection) -> dict[str, str]:
+    """Return `{system_id: gttr_hook}` for every system with a populated
+    hook. The gttr_hook column is filled by
+    `tooling/db/populate_gttr_hook.py` from wiki/star-systems/<slug>/gttr.md
+    and captures the system's canonical characterisation in 30-45 words
+    ("where the rules live", "forty years old and still in the draft",
+    …). The naming pipeline injects this into the prompt preamble so
+    Gemma has per-system cultural context without having to parse
+    thousands of lines of wiki markdown at runtime.
+
+    Systems whose gttr_hook is NULL return nothing from this map — the
+    caller falls back to the corridor palette alone.
+    """
+    rows = conn.execute(
+        "SELECT system_id, gttr_hook FROM star_systems "
+        "WHERE gttr_hook IS NOT NULL AND gttr_hook != ''"
+    ).fetchall()
+    return {row[0]: row[1] for row in rows}
+
+
 def load_body_hop_order(conn: sqlite3.Connection) -> dict[str, tuple[int, str]]:
     """Return a `{body_id: (hop_distance_from_gateway, body_id)}` map used
     as a stable sort key so the pipeline walks the reach from core
@@ -1416,6 +1496,7 @@ def process_body(
     corpus: dict[tuple[str, str], set[str]],
     stem_counts: dict[str, int],
     stem_cap: int,
+    system_hook: str | None,
     world_seed: int,
     log: "Logger",
     verbose: bool,
@@ -1474,7 +1555,7 @@ def process_body(
         feature_type = _feature_type_for_city(city)
         name = name_feature(
             voice, feature_type, ctx, blocklist, corpus, body_used,
-            stem_counts, stem_cap,
+            stem_counts, stem_cap, system_hook,
             world_seed, body_id, city.get("id") or "city_?",
             log, verbose,
         )
@@ -1491,7 +1572,7 @@ def process_body(
             continue
         name = name_feature(
             voice, "river", ctx, blocklist, corpus, body_used,
-            stem_counts, stem_cap,
+            stem_counts, stem_cap, system_hook,
             world_seed, body_id, river.get("id") or "river_?",
             log, verbose,
         )
@@ -1511,7 +1592,7 @@ def process_body(
         feature_type = _feature_type_for_ocean(water)
         name = name_feature(
             voice, feature_type, ctx, blocklist, corpus, body_used,
-            stem_counts, stem_cap,
+            stem_counts, stem_cap, system_hook,
             world_seed, body_id, water.get("id") or "water_?",
             log, verbose,
         )
@@ -1530,7 +1611,7 @@ def process_body(
             continue
         name = name_feature(
             voice, "mountain_range", ctx, blocklist, corpus, body_used,
-            stem_counts, stem_cap,
+            stem_counts, stem_cap, system_hook,
             world_seed, body_id, rng_feat.get("id") or "range_?",
             log, verbose,
         )
@@ -1550,7 +1631,7 @@ def process_body(
         feature_type = _feature_type_for_poi(poi)
         name = name_feature(
             voice, feature_type, ctx, blocklist, corpus, body_used,
-            stem_counts, stem_cap,
+            stem_counts, stem_cap, system_hook,
             world_seed, body_id, poi.get("id") or "poi_?",
             log, verbose,
         )
@@ -1725,6 +1806,7 @@ def main():
     ensure_atlas_schema(conn)
 
     hop_order = load_body_hop_order(conn)
+    system_gttr_hooks = load_system_gttr_hooks(conn)
     markers_paths = discover_bodies(args.body, args.limit, hop_order)
     if not markers_paths:
         log(f"error: no markers.json found (body={args.body})")
@@ -1824,6 +1906,7 @@ def main():
                     corpus=corpus,
                     stem_counts=stem_counts,
                     stem_cap=args.stem_cap,
+                    system_hook=system_gttr_hooks.get(system_id),
                     world_seed=args.seed,
                     log=log,
                     verbose=args.verbose,