Fast deploy (index 406ebfb412f4)

Dockerfile

@@ -27,7 +27,7 @@ COPY frontend/dist ./frontend/dist
 
 # Pinned prebuilt index artifact (update when republishing the dataset).
 ARG INDEX_URL=https://huggingface.co/datasets/Mongoosetross/reverse-etymology-index/resolve/main/index.tar.zst
-ARG INDEX_SHA256=9c3162a2f1c8785d3795cf4f36eac544d18c2af2cf1479f19891e38f9a82cf1e
+ARG INDEX_SHA256=406ebfb412f4b65e0d6e0152aa537f9ddc16dead92faff73dddb61dcf4cdd540
 RUN mkdir -p data/index \
     && curl -fsSL "$INDEX_URL" -o /tmp/index.tar.zst \
     && if [ -n "$INDEX_SHA256" ]; then echo "$INDEX_SHA256  /tmp/index.tar.zst" | sha256sum -c -; fi \

backend/app.py

@@ -40,6 +40,7 @@ def health() -> dict:
         "loaded": atlas.loaded,
         "nodes": atlas.n,
         "edges": atlas.meta.get("edges"),
+        "hyperedges": atlas.meta.get("hyperedges"),
         "load_ms": getattr(atlas, "load_ms", None),
         "citation": atlas.meta.get("citation"),
     }
@@ -61,6 +62,7 @@ def meta() -> dict:
         "citation": m.get("citation"),
         "nodes": m.get("nodes"),
         "edges": m.get("edges"),
+        "hyperedges": m.get("hyperedges"),
     }
 
 

backend/atlas.py

@@ -11,6 +11,7 @@ from pathlib import Path
 import numpy as np
 
 from backend.constants import DEFAULT_RELATIONS, REL_TO_CODE, RELATIONS
+from pipeline.kaikki_etymology import HYPER_TEMPLATE_VOCAB
 from backend.filters import FilterContext, node_ok, path_filter_empty, path_ok, predicate_empty
 from backend.mmap_store import load_graph, mmap_dir
 from backend.models import EdgeFilter, TreeQuery
@@ -49,6 +50,16 @@ class Atlas:
         self.child_count: np.ndarray | None = None
         self.lang_meta: dict[str, dict] = {}
         self._arrays: dict[str, np.ndarray] = {}
+        self.hyper_parent: np.ndarray | None = None
+        self.hyper_rel: np.ndarray | None = None
+        self.hyper_conf: np.ndarray | None = None
+        self.hyper_tmpl: np.ndarray | None = None
+        self.hyper_part_off: np.ndarray | None = None
+        self.hyper_part_tgt: np.ndarray | None = None
+        self.inc_off: np.ndarray | None = None
+        self.inc_hyper: np.ndarray | None = None
+        self.par_off: np.ndarray | None = None
+        self.par_hyper: np.ndarray | None = None
 
     def load(self) -> None:
         sqlite_path = self.index_dir / "atlas.sqlite"
@@ -65,6 +76,16 @@ class Atlas:
         self.forward = CSR(arrays["fwd_off"], arrays["fwd_tgt"], arrays["fwd_rel"], arrays["fwd_conf"], arrays["fwd_src"])
         self.n = int(len(self.reverse.offsets) - 1)
         self.child_count = arrays["child_count"]
+        self.hyper_parent = arrays.get("hyper_parent")
+        self.hyper_rel = arrays.get("hyper_rel")
+        self.hyper_conf = arrays.get("hyper_conf")
+        self.hyper_tmpl = arrays.get("hyper_tmpl")
+        self.hyper_part_off = arrays.get("hyper_part_off")
+        self.hyper_part_tgt = arrays.get("hyper_part_tgt")
+        self.inc_off = arrays.get("inc_off")
+        self.inc_hyper = arrays.get("inc_hyper")
+        self.par_off = arrays.get("par_off")
+        self.par_hyper = arrays.get("par_hyper")
 
         self.conn = sqlite3.connect(f"file:{sqlite_path}?mode=ro", uri=True, check_same_thread=False)
         self.conn.row_factory = sqlite3.Row
@@ -269,6 +290,9 @@ class Atlas:
         child_rels: dict[str, int] = defaultdict(int)
         for e in rev.edge_range(nid):
             child_rels[RELATIONS[int(rev.rel[e])]] += 1
+        if self.inc_off is not None and self.inc_hyper is not None and self.hyper_rel is not None:
+            for h in self.inc_hyper[int(self.inc_off[nid]) : int(self.inc_off[nid + 1])]:
+                child_rels[RELATIONS[int(self.hyper_rel[int(h)])]] += 1
         etymon_ids = [int(fwd.targets[e]) for e in list(fwd.edge_range(nid))[:40]]
         extra = self.hydrate(etymon_ids)
         etymons = []
@@ -287,6 +311,49 @@ class Atlas:
                 }
             )
 
+        formations = []
+        if (
+            self.par_off is not None
+            and self.par_hyper is not None
+            and self.hyper_parent is not None
+            and self.hyper_part_off is not None
+            and self.hyper_part_tgt is not None
+        ):
+            part_ids: list[int] = []
+            hyper_ids = [int(h) for h in self.par_hyper[int(self.par_off[nid]) : int(self.par_off[nid + 1])]]
+            for h in hyper_ids:
+                a = int(self.hyper_part_off[h])
+                b = int(self.hyper_part_off[h + 1])
+                part_ids.extend(int(x) for x in self.hyper_part_tgt[a:b])
+            part_info = self.hydrate(part_ids) if part_ids else {}
+            for h in hyper_ids[:24]:
+                a = int(self.hyper_part_off[h])
+                b = int(self.hyper_part_off[h + 1])
+                tmpl_code = int(self.hyper_tmpl[h]) if self.hyper_tmpl is not None else 0
+                tmpl = HYPER_TEMPLATE_VOCAB[tmpl_code] if tmpl_code < len(HYPER_TEMPLATE_VOCAB) else "compound"
+                parts = []
+                for pi, pid in enumerate(self.hyper_part_tgt[a:b]):
+                    info = part_info.get(int(pid), {})
+                    parts.append(
+                        {
+                            "id": int(pid),
+                            "term": info.get("term", ""),
+                            "lang": info.get("lang", ""),
+                            "lang_display": info.get("lang_display"),
+                            "family_name": info.get("family_name"),
+                            "part_index": pi,
+                        }
+                    )
+                formations.append(
+                    {
+                        "id": h,
+                        "template": tmpl,
+                        "relation": RELATIONS[int(self.hyper_rel[h])] if self.hyper_rel is not None else "compound",
+                        "confidence": (int(self.hyper_conf[h]) / 100.0) if self.hyper_conf is not None else 0.9,
+                        "parts": parts,
+                    }
+                )
+
         cognates = []
         for row in self.conn.execute(
             """
@@ -335,6 +402,7 @@ class Atlas:
             **node,
             "child_relations": dict(child_rels),
             "etymons": etymons,
+            "formations": formations,
             "cognate_sets": cognates,
             "wals": wals[:80],
             "phonemes": phoneme_list,
@@ -381,13 +449,34 @@ def walk_tree(atlas: Atlas, query: TreeQuery, root: int, t0: float) -> dict:
     max_visit = query.edges.max_visit
 
     parent: dict[int, int] = {root: -1}
-    parent_edge: dict[int, int] = {root: -1}
+    parent_edge: dict[int, int] = {root: -1}  # binary edge index, or -1
+    parent_hyper: dict[int, int] = {root: -1}  # hyperedge id, or -1
+    parent_rel_code: dict[int, int] = {root: -1}
+    parent_conf_code: dict[int, int] = {root: 100}
     depth_of: dict[int, int] = {root: 0}
 
     q: deque[int] = deque([root])
     visited = 1
     truncated = False
 
+    def consider(child: int, via_parent: int, rel_code: int, conf_code: int, bin_e: int, hyp_h: int) -> bool:
+        nonlocal visited, truncated
+        if child in depth_of:
+            return False
+        depth_of[child] = depth_of[via_parent] + 1
+        parent[child] = via_parent
+        parent_edge[child] = bin_e
+        parent_hyper[child] = hyp_h
+        parent_rel_code[child] = rel_code
+        parent_conf_code[child] = conf_code
+        visited += 1
+        if visited >= max_visit:
+            truncated = True
+            q.clear()
+            return True
+        q.append(child)
+        return False
+
     while q:
         node = q.popleft()
         d = depth_of[node]
@@ -395,23 +484,36 @@ def walk_tree(atlas: Atlas, query: TreeQuery, root: int, t0: float) -> dict:
             continue
         start = int(rev.offsets[node])
         end = int(rev.offsets[node + 1])
+        stop = False
         for e in range(start, end):
             if rel_mask[int(rev.rel[e])] == 0:
                 continue
             if int(rev.conf[e]) < min_conf:
                 continue
             child = int(rev.targets[e])
-            if child in depth_of:
-                continue
-            depth_of[child] = d + 1
-            parent[child] = node
-            parent_edge[child] = e
-            visited += 1
-            if visited >= max_visit:
-                truncated = True
-                q.clear()
+            stop = consider(child, node, int(rev.rel[e]), int(rev.conf[e]), e, -1)
+            if stop:
+                break
+        if stop:
+            break
+        # Hypergraph: formations that use this node as a part → derived parent word.
+        if getattr(atlas, "inc_off", None) is not None and getattr(atlas, "inc_hyper", None) is not None and getattr(atlas, "hyper_parent", None) is not None:
+            ia = int(atlas.inc_off[node])
+            ib = int(atlas.inc_off[node + 1])
+            for h in atlas.inc_hyper[ia:ib]:
+                h = int(h)
+                rel_c = int(atlas.hyper_rel[h]) if atlas.hyper_rel is not None else REL_TO_CODE["compound"]
+                if rel_mask[rel_c] == 0:
+                    continue
+                conf_c = int(atlas.hyper_conf[h]) if atlas.hyper_conf is not None else 90
+                if conf_c < min_conf:
+                    continue
+                child = int(atlas.hyper_parent[h])
+                stop = consider(child, node, rel_c, conf_c, -1, h)
+                if stop:
+                    break
+            if stop:
                 break
-            q.append(child)
 
     has_child: set[int] = set()
     for nid, p in parent.items():
@@ -454,9 +556,9 @@ def walk_tree(atlas: Atlas, query: TreeQuery, root: int, t0: float) -> dict:
         cur = nid
         while cur != -1:
             path_nodes.append(cur)
-            pe = parent_edge.get(cur, -1)
-            if pe >= 0:
-                path_rels.append(int(rev.rel[pe]))
+            rc = parent_rel_code.get(cur, -1)
+            if rc >= 0:
+                path_rels.append(int(rc))
             cur = parent.get(cur, -1)
         path_nodes.reverse()
         path_rels.reverse()
@@ -490,19 +592,15 @@ def walk_tree(atlas: Atlas, query: TreeQuery, root: int, t0: float) -> dict:
     payload_nodes: list[dict] = []
 
     def relation_of(child: int) -> str:
-        e = parent_edge.get(child, -1)
-        if e < 0:
+        rc = parent_rel_code.get(child, -1)
+        if rc < 0:
             return ""
-        return RELATIONS[int(rev.rel[e])]
+        return RELATIONS[int(rc)]
 
     def conf_of(child: int) -> float:
-        e = parent_edge.get(child, -1)
-        if e < 0:
-            return 1.0
-        return int(rev.conf[e]) / 100.0
+        return int(parent_conf_code.get(child, 100)) / 100.0
 
     def add_word(nid: int) -> None:
-        e = parent_edge.get(nid, -1)
         payload_nodes.append(
             {
                 "id": nid,
@@ -513,7 +611,7 @@ def walk_tree(atlas: Atlas, query: TreeQuery, root: int, t0: float) -> dict:
                 "depth": int(depth_of[nid]),
                 "relation": relation_of(nid) if nid != root else None,
                 "confidence": conf_of(nid) if nid != root else None,
-                "source": int(rev.src[e]) if e >= 0 else 0,
+                "source": 0,
                 "child_count": int(atlas.child_count[nid]),
                 "visible_children": len(children.get(nid, [])),
             }

backend/mmap_store.py

@@ -17,6 +17,19 @@ MMAP_FILES = {
     "fwd_rel": ("fwd_rel.u8", np.uint8),
     "fwd_conf": ("fwd_conf.u8", np.uint8),
     "fwd_src": ("fwd_src.u8", np.uint8),
+    # N-ary compound/blend hyperedges (parent + ordered parts).
+    "hyper_parent": ("hyper_parent.i32", np.int32),
+    "hyper_rel": ("hyper_rel.u8", np.uint8),
+    "hyper_conf": ("hyper_conf.u8", np.uint8),
+    "hyper_tmpl": ("hyper_tmpl.u8", np.uint8),
+    "hyper_part_off": ("hyper_part_off.i32", np.int32),
+    "hyper_part_tgt": ("hyper_part_tgt.i32", np.int32),
+    # Incidence: part node → hyperedges that contain it (reverse morphology).
+    "inc_off": ("inc_off.i32", np.int32),
+    "inc_hyper": ("inc_hyper.i32", np.int32),
+    # Parent node → hyperedges for which it is the derived word.
+    "par_off": ("par_off.i32", np.int32),
+    "par_hyper": ("par_hyper.i32", np.int32),
     "lang_code": ("lang_code.u16", np.uint16),
     "child_count": ("child_count.u16", np.uint16),
     "lang_family": ("lang_family.u16", np.uint16),
@@ -29,6 +42,20 @@ MMAP_FILES = {
     "freq_rank": ("freq_rank.u32", np.uint32),
 }
 
+# Optional in older indexes (filled with empty arrays on load).
+HYPER_KEYS = (
+    "hyper_parent",
+    "hyper_rel",
+    "hyper_conf",
+    "hyper_tmpl",
+    "hyper_part_off",
+    "hyper_part_tgt",
+    "inc_off",
+    "inc_hyper",
+    "par_off",
+    "par_hyper",
+)
+
 
 def mmap_dir(index_dir: Path) -> Path:
     return Path(index_dir) / "mmap"
@@ -70,10 +97,28 @@ def load_graph(index_dir: Path, copy: bool = False) -> dict[str, np.ndarray]:
     for key, (fname, dtype) in MMAP_FILES.items():
         path = d / fname
         if not path.exists():
-            # Backward compatible: older indexes without frequency arrays.
+            # Backward compatible: older indexes without frequency / hyper arrays.
             if key in ("freq_zipf", "freq_rank") and n_nodes is not None:
                 out[key] = np.zeros(n_nodes, dtype=dtype)
                 continue
+            if key in HYPER_KEYS and n_nodes is not None:
+                if key == "hyper_part_off":
+                    out[key] = np.zeros(1, dtype=dtype)  # 0 hyperedges
+                elif key in ("inc_off", "par_off"):
+                    out[key] = np.zeros(n_nodes + 1, dtype=dtype)
+                elif key in (
+                    "hyper_parent",
+                    "hyper_rel",
+                    "hyper_conf",
+                    "hyper_tmpl",
+                    "hyper_part_tgt",
+                    "inc_hyper",
+                    "par_hyper",
+                ):
+                    out[key] = np.zeros(0, dtype=dtype)
+                else:
+                    out[key] = np.zeros(0, dtype=dtype)
+                continue
             raise FileNotFoundError(path)
         arr = open_array(path, dtype)
         out[key] = np.array(arr) if copy else arr

frontend/dist/assets/index-Cqu1pV49.css

@@ -0,0 +1 @@
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section{margin-top:14px}.modal-body h3{margin:0 0 6px;font-size:12px;letter-spacing:.04em;text-transform:uppercase;color:var(--muted);font-weight:600}.modal-muted{color:var(--muted);font-size:13px;margin:0}.modal-muted a{color:var(--teal)}.modal-senses{display:grid;gap:10px}.modal-pos{font-size:12px;color:var(--copper);font-style:italic;margin-bottom:2px}.modal-sense ol{margin:0;padding-left:18px;display:grid;gap:4px}.modal-sense li{font-size:14px;line-height:1.35}.modal-chips{display:flex;flex-wrap:wrap;gap:6px;margin:8px 0 0}.modal-foot{display:flex;flex-wrap:wrap;gap:8px;padding:12px 16px 16px;border-top:1px solid var(--line)}.modal-foot .ghost,.modal-foot a.ghost{text-decoration:none;display:inline-flex;align-items:center;min-height:40px}@media(max-width:840px){.workspace{grid-template-columns:1fr}.panel{display:none}.sheet-backdrop{display:block;position:absolute;inset:0;z-index:25;border:0;background:#00000073;padding:0}.panel.open-sheet{display:flex;flex-direction:column;position:absolute;left:0;right:0;bottom:0;z-index:30;height:min(78dvh,640px);max-height:calc(100% - 12px);border-right:0;border-left:0;border-top:1px solid var(--line);border-radius:18px 18px 0 0;background:var(--ink-2);padding:0 14px 18px;overflow:hidden;box-shadow:0 -12px 40px #00000059}.sheet-body{overflow:auto;-webkit-overflow-scrolling:touch;flex:1;min-height:0}.sheet-grab{display:grid;grid-template-columns:64px 1fr auto;align-items:center;gap:8px;padding:10px 0 8px;position:sticky;top:0;background:var(--ink-2);z-index:1}.sheet-grab>span{width:42px;height:4px;border-radius:99px;background:#f4efe447;justify-self:start;margin-left:10px}.sheet-grab 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frontend/dist/index.html

@@ -9,8 +9,8 @@
     <link rel="icon" href="/icon.svg" type="image/svg+xml" />
     <link rel="apple-touch-icon" href="/icon.svg" />
     <title>Reverse Etymology Atlas</title>
-    <script type="module" crossorigin src="/assets/index-3XAlyw9k.js"></script>
-    <link rel="stylesheet" crossorigin href="/assets/index-DylnFtmm.css">
+    <script type="module" crossorigin src="/assets/index-Cp4-piqH.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-Cqu1pV49.css">
   </head>
   <body>
     <div id="root"></div>