Board: surface the newly-nested municipals in county drill-downs

build_viz.py was resolving officials to counties without the place→county
crosswalk, so only FL's 67 counties had rosters. Factor the resolver out of
build.py into a shared build.place_resolver() and use it in both, so the
Board and the tree agree by construction.

- scripts/build.py — extract place_resolver(); main() now calls it (tree
  output byte-identical, refactor is behavior-preserving)
- scripts/build_viz.py — resolve via the shared resolver
- viz/county_data.json, viz/county_detail.json — regenerated

County drill-downs: 67 → 1049 counties with rosters; officials mapped
5184/5226 (42 county-unresolvable, tree-only). Deterministic.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

scripts/build.py

@@ -74,6 +74,29 @@ def acs_cslug(row):
     return slugify(norm_county(re.sub(r"\s+County$", "", base)))
 
 
+def place_resolver(acs_county, crosswalk):
+    """(normalized place name, state) -> county dir slug, from the crosswalk.
+
+    county_geoid is the stable key; the slug is taken from the ACS county node
+    (the same source that names county dirs) so municipals nest correctly. Only
+    unique name matches whose county has an ACS node are included — ambiguous
+    names, label-less rows, and counties with no ACS node fall through.
+    Shared by build.py and build_viz.py so the tree and the Board agree.
+    """
+    fips_to_cslug = {canonical_fips(r["county_fips"]): acs_cslug(r) for r in acs_county}
+    geoids = {}
+    for x in crosswalk:
+        geoids.setdefault(
+            (norm_place(x["place_name"]), x["state_code"]), set()).add(x["county_geoid"])
+    out = {}
+    for key, geos in geoids.items():
+        if len(geos) == 1:
+            cf = canonical_fips(next(iter(geos)))
+            if cf in fips_to_cslug:
+                out[key] = fips_to_cslug[cf]
+    return out
+
+
 # committee_title (source) -> normalized role on the committee
 ROLE_MAP = {
     "member": "member", "Chair": "chair", "Chairman": "chair",
@@ -572,21 +595,7 @@ def main():
     acs_county = load("acs_county.jsonl")
     acs_cd = load("acs_cd.jsonl")
     crosswalk = load("place_county_crosswalk.jsonl")
-
-    # place -> county resolver: (normalized place name, state) -> county dir slug.
-    # county_geoid is the stable key; the slug is taken from the ACS county node
-    # (the same source that names county dirs) so municipals nest correctly.
-    fips_to_cslug = {canonical_fips(r["county_fips"]): acs_cslug(r) for r in acs_county}
-    _place_geoids = {}
-    for x in crosswalk:
-        _place_geoids.setdefault(
-            (norm_place(x["place_name"]), x["state_code"]), set()).add(x["county_geoid"])
-    place_to_cslug = {}
-    for key, geos in _place_geoids.items():
-        if len(geos) == 1:
-            cf = canonical_fips(next(iter(geos)))
-            if cf in fips_to_cslug:
-                place_to_cslug[key] = fips_to_cslug[cf]
+    place_to_cslug = place_resolver(acs_county, crosswalk)
 
     bodies_by_code = {b["code"]: b for b in bodies}
     comm_codes = committee_codes(bodies)

scripts/build_viz.py

@@ -11,11 +11,11 @@ source. This regenerates its two companions deterministically:
                            — per-county drill-down roster.
 
 County/municipal officials are mapped to a county the same way build.py places
-them in the tree (county_slug / city helpers), so the viz and the tree agree by
-construction. Officials whose county can't be resolved to an ACS FIPS (e.g. the
-non-FL municipal rows still blocked on the place->county crosswalk) are counted
-in the tree but do not appear in the county-keyed viz — an honest gap, not a
-silent drop; the tally is printed at the end.
+them in the tree (shared county_slug + place_resolver), so the viz and the tree
+agree by construction. Officials whose county still can't be resolved to an ACS
+FIPS (ambiguous names, county-level rows mislabeled municipal, CT planning
+regions, label-less rows) are counted in the tree but do not appear in the
+county-keyed viz — an honest gap, not a silent drop; the tally is printed.
 
 Deterministic: sorted iteration, fixed key order. Two runs are byte-identical.
 """
@@ -47,6 +47,7 @@ def city_name(rec):
 def main():
     officeholders = build.load("officeholders-v3.jsonl")
     acs_county = build.load("acs_county.jsonl")
+    place_to_cslug = build.place_resolver(acs_county, build.load("place_county_crosswalk.jsonl"))
 
     # slug -> fips, and fips -> (name, state, demographics), deduped by fips
     slug_to_fips = {}
@@ -72,7 +73,7 @@ def main():
     for rec in officeholders:
         if rec["level"] not in ("county", "municipal"):
             continue
-        key = ((rec.get("state_abbr") or "").lower(), build.county_slug(rec))
+        key = ((rec.get("state_abbr") or "").lower(), build.county_slug(rec, place_to_cslug))
         oh_count[key] += 1
         name = rec.get("full_name") or rec.get("title") or "Unknown"
         role = rec.get("title") or ""