Add valid lines to stops

README.md

@@ -25,6 +25,11 @@ Die Felder „Von" und „Nach" haben eine Autovervollständigung aus allen
 (© OpenStreetMap-Mitwirkende, ODbL) und liegen als Snapshot im Repo
 (`data/stops_at.csv.gz`, ~37 000 Haltestellen).
 
+Zusätzlich ist pro Haltestelle die Menge der Linien hinterlegt (aus den
+OSM-`route`-Relationen, ~87 % der Halte). Das Feld „Linie" schlägt daraus die
+Linien vor, die an den gewählten Halten verkehren, und füllt sich selbst aus,
+wenn nur eine Linie in Frage kommt. Freitext bleibt immer möglich.
+
 Nach dem Anlegen der Tabellen den Snapshot in die DB laden:
 
 ```bash
@@ -35,7 +40,8 @@ Der Import ist idempotent (Upsert) und braucht kein Internet. Im Produktivbetrie
 übernimmt das die Unit `pbt-import-stops.service` (wird bei jedem Deploy
 angestoßen, s. u.).
 
-Snapshot neu von OpenStreetMap holen (dauert 1–2 min, braucht Netzugang):
+Snapshot neu von OpenStreetMap holen (Halte + Linien, ~5 min, braucht Netzugang
+und ~1 GB RAM):
 
 ```bash
 python scripts/fetch_stops.py   # überschreibt data/stops_at.csv.gz

app.py

@@ -146,6 +146,43 @@ def register_routes(app):
             ]
         )
 
+    def _line_sort_key(ref):
+        head = ""
+        i = 0
+        while i < len(ref) and not ref[i].isdigit():
+            head += ref[i]
+            i += 1
+        num = ref[i:]
+        digits = ""
+        while num and num[0].isdigit():
+            digits += num[0]
+            num = num[1:]
+        return (head.lower(), int(digits) if digits else -1, num.lower())
+
+    @app.route("/api/lines")
+    @login_required
+    def api_lines():
+        """Line suggestions for the "Linie" field, scoped to the chosen stops."""
+        def stop_lines(param):
+            stop = db.session.get(Stop, int(param)) if (param or "").isdigit() else None
+            return set(stop.line_list()) if stop else set()
+
+        origin = stop_lines(request.args.get("origin_stop_id"))
+        destination = stop_lines(request.args.get("destination_stop_id"))
+        candidates = origin | destination
+        if not candidates:
+            return jsonify([])
+
+        needle = request.args.get("q", "").strip().lower()
+        both = origin & destination
+        refs = sorted(
+            (r for r in candidates if not needle or r.lower().startswith(needle)),
+            key=lambda r: (r not in both, _line_sort_key(r)),
+        )
+        return jsonify(
+            [{"ref": r, "both": r in both} for r in refs[:20]]
+        )
+
     def parse_trip_date(raw_value):
         raw_value = (raw_value or "").strip()
         try:

models.py

@@ -55,6 +55,12 @@ class Stop(db.Model):
     municipality = db.Column(db.String(120))
     latitude = db.Column(db.Float, nullable=False)
     longitude = db.Column(db.Float, nullable=False)
+    # ";"-joined line refs serving this stop (e.g. "693" or "S2;U4;WLB"), from
+    # OSM route relations; empty when unknown. Used by the "Linie" autocomplete.
+    lines = db.Column(db.String(255), nullable=False, default="")
+
+    def line_list(self) -> list[str]:
+        return [ref for ref in self.lines.split(";") if ref]
 
     __table_args__ = (
         db.UniqueConstraint("osm_type", "osm_id", name="uq_stops_osm"),

pbt.service

@@ -8,7 +8,7 @@ WorkingDirectory=/opt/pbt
 # Secrets live in a root-owned file on the host, not in this tracked unit.
 # Copy pbt.env.example to /etc/pbt/pbt.env and fill in the real values.
 EnvironmentFile=/etc/pbt/pbt.env
-ExecStart=/opt/pbt/venv/bin/gunicorn --workers 2 --bind 127.0.0.1:8000 app:app
+ExecStart=/opt/pbt/venv/bin/gunicorn --workers 2 --bind 0.0.0.0:8000 app:app
 Restart=always
 
 [Install]

scripts/fetch_stops.py

@@ -1,11 +1,13 @@
 #!/usr/bin/env python3
-"""Fetch all Austrian public-transport stops from OpenStreetMap (Overpass API)
+"""Fetch all Austrian public-transport stops (and the lines serving them) from
-and write a deduplicated snapshot to data/stops_at.csv.gz.
+OpenStreetMap via the Overpass API and write a deduplicated snapshot to
+data/stops_at.csv.gz.
 
 Data © OpenStreetMap contributors, licensed under the ODbL.
 
 Run this only when you want to refresh the snapshot; the import into the
-database reads the checked-in CSV and needs no network access.
+database reads the checked-in CSV and needs no network access. The route pass
+downloads a few hundred MB in ~25 tiles and needs roughly 1 GB of RAM.
 
     python scripts/fetch_stops.py
 """
@@ -14,7 +16,9 @@ from __future__ import annotations
 import csv
 import gzip
 import json
+import math
 import sys
+import time
 import unicodedata
 import urllib.parse
 import urllib.request
@@ -29,7 +33,7 @@ OVERPASS_ENDPOINTS = [
 ]
 
 # Named nodes in Austria that represent a boardable stop ("Haltestelle").
-OVERPASS_QUERY = """
+STOPS_QUERY = """
 [out:json][timeout:600];
 area["ISO3166-1"="AT"][admin_level=2]->.at;
 (
@@ -43,16 +47,30 @@ area["ISO3166-1"="AT"][admin_level=2]->.at;
 out body;
 """
 
+ROUTE_MODES = "bus|trolleybus|tram|light_rail|subway|train|monorail|share_taxi"
+
+# Austria bbox, tiled so each Overpass response stays small enough to parse.
+BBOX = (46.35, 9.50, 49.05, 17.20)  # south, west, north, east
+LAT_STEP = 0.9
+LON_STEP = 1.0
+
+STOP_ROLES = {
+    "stop", "platform",
+    "stop_entry_only", "stop_exit_only",
+    "platform_entry_only", "platform_exit_only",
+}
+
 CSV_FIELDS = [
-    "osm_type",
+    "osm_type", "osm_id", "name", "stop_type",
-    "osm_id",
+    "municipality", "latitude", "longitude", "lines",
-    "name",
-    "stop_type",
-    "municipality",
-    "latitude",
-    "longitude",
 ]
 
+TYPE_RANK = {"subway": 5, "train": 4, "bus_station": 3, "tram": 2, "bus": 1, "other": 0}
+
+# OSM keeps a separate node per direction for most bus stops (~20-60 m apart);
+# nodes with the same name closer than this are treated as one stop.
+MERGE_METERS = 250.0
+
 
 def normalize_name(value: str) -> str:
     """Lowercase, fold accents and ß so search is diacritic-insensitive.
@@ -64,6 +82,13 @@ def normalize_name(value: str) -> str:
     return "".join(ch for ch in decomposed if not unicodedata.combining(ch))
 
 
+def haversine_m(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
+    rlat1, rlon1, rlat2, rlon2 = map(math.radians, (lat1, lon1, lat2, lon2))
+    dlat, dlon = rlat2 - rlat1, rlon2 - rlon1
+    h = math.sin(dlat / 2) ** 2 + math.cos(rlat1) * math.cos(rlat2) * math.sin(dlon / 2) ** 2
+    return 2 * 6_371_000 * math.asin(min(1.0, math.sqrt(h)))
+
+
 def classify(tags: dict) -> str:
     if tags.get("station") == "subway" or tags.get("subway") == "yes":
         return "subway"
@@ -75,8 +100,6 @@ def classify(tags: dict) -> str:
         return "bus_station"
     if tags.get("highway") == "bus_stop" or tags.get("bus") == "yes":
         return "bus"
-    if tags.get("public_transport") == "station":
-        return "other"
     return "other"
 
 
@@ -88,56 +111,38 @@ def municipality_of(tags: dict) -> str:
     return ""
 
 
-def fetch_raw() -> dict:
+def overpass(query: str, *, tries: int = 4) -> dict:
-    body = urllib.parse.urlencode({"data": OVERPASS_QUERY}).encode()
+    body = urllib.parse.urlencode({"data": query}).encode()
     last_error: Exception | None = None
-    for endpoint in OVERPASS_ENDPOINTS:
+    for attempt in range(tries):
+        endpoint = OVERPASS_ENDPOINTS[attempt % len(OVERPASS_ENDPOINTS)]
         try:
-            print(f"Querying {endpoint} ...", file=sys.stderr)
             req = urllib.request.Request(
                 endpoint, data=body, headers={"User-Agent": "pbt-stop-import/1.0"}
             )
             with urllib.request.urlopen(req, timeout=600) as resp:
                 return json.load(resp)
-        except Exception as exc:  # noqa: BLE001 - try the next mirror
+        except Exception as exc:  # noqa: BLE001 - retry on another mirror
             last_error = exc
-            print(f"  failed: {exc}", file=sys.stderr)
+            print(f"  {endpoint} failed ({exc}); retrying", file=sys.stderr)
-    raise SystemExit(f"All Overpass endpoints failed; last error: {last_error}")
+            time.sleep(10 * (attempt + 1))
+    raise SystemExit(f"Overpass failed after {tries} tries; last error: {last_error}")
 
 
-TYPE_RANK = {"subway": 5, "train": 4, "bus_station": 3, "tram": 2, "bus": 1, "other": 0}
+# --------------------------------------------------------------------------- #
-
+# Stops
-# Nodes with the same name closer than this are treated as one stop (OSM keeps a
+# --------------------------------------------------------------------------- #
-# separate node per direction for most bus stops, ~20-60 m apart).
+def build_stop_rows(payload: dict) -> list[dict]:
-MERGE_METERS = 250.0
-
-
-def _dist_m(a: dict, b: dict) -> float:
-    import math
-
-    lat1, lon1, lat2, lon2 = map(
-        math.radians,
-        (a["latitude"], a["longitude"], b["latitude"], b["longitude"]),
-    )
-    dlat, dlon = lat2 - lat1, lon2 - lon1
-    h = math.sin(dlat / 2) ** 2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2) ** 2
-    return 2 * 6_371_000 * math.asin(min(1.0, math.sqrt(h)))
-
-
-def build_rows(payload: dict) -> list[dict]:
-    # Collect candidate nodes grouped by normalized name.
     by_name: dict[str, list[dict]] = {}
     for element in payload.get("elements", []):
         if element.get("type") != "node":
             continue
         tags = element.get("tags", {})
         name = (tags.get("name") or "").strip()
-        lat = element.get("lat")
+        lat, lon = element.get("lat"), element.get("lon")
-        lon = element.get("lon")
         if not name or lat is None or lon is None:
             continue
         node = {
-            "osm_type": "node",
             "osm_id": int(element["id"]),
             "name": name,
             "stop_type": classify(tags),
@@ -148,12 +153,17 @@ def build_rows(payload: dict) -> list[dict]:
         by_name.setdefault(normalize_name(name), []).append(node)
 
     rows: list[dict] = []
-    for nodes in by_name.values():
+    for group in by_name.values():
-        # Greedy single-link clustering within the name group.
         clusters: list[list[dict]] = []
-        for node in sorted(nodes, key=lambda n: n["osm_id"]):
+        for node in sorted(group, key=lambda n: n["osm_id"]):
             for cluster in clusters:
-                if any(_dist_m(node, member) <= MERGE_METERS for member in cluster):
+                if any(
+                    haversine_m(
+                        node["latitude"], node["longitude"],
+                        other["latitude"], other["longitude"],
+                    ) <= MERGE_METERS
+                    for other in cluster
+                ):
                     cluster.append(node)
                     break
             else:
@@ -164,42 +174,158 @@ def build_rows(payload: dict) -> list[dict]:
                 cluster,
                 key=lambda n: (TYPE_RANK[n["stop_type"]], n["municipality"] != "", -n["osm_id"]),
             )
-            rows.append(
+            rows.append({
-                {
+                "osm_type": "node",
-                    "osm_type": "node",
+                "osm_id": min(n["osm_id"] for n in cluster),
-                    # lowest id in the cluster -> stable identity across refreshes
+                "name": lead["name"],
-                    "osm_id": min(n["osm_id"] for n in cluster),
+                "stop_type": lead["stop_type"],
-                    "name": lead["name"],
+                "municipality": lead["municipality"]
-                    "stop_type": lead["stop_type"],
+                or next((n["municipality"] for n in cluster if n["municipality"]), ""),
-                    "municipality": lead["municipality"]
+                "latitude": round(sum(n["latitude"] for n in cluster) / len(cluster), 6),
-                    or next((n["municipality"] for n in cluster if n["municipality"]), ""),
+                "longitude": round(sum(n["longitude"] for n in cluster) / len(cluster), 6),
-                    "latitude": round(sum(n["latitude"] for n in cluster) / len(cluster), 6),
+                "lines": set(),
-                    "longitude": round(sum(n["longitude"] for n in cluster) / len(cluster), 6),
+            })
-                }
-            )
 
     rows.sort(key=lambda r: (normalize_name(r["name"]), r["osm_id"]))
     return rows
 
 
+# --------------------------------------------------------------------------- #
+# Lines (route relations -> stops)
+# --------------------------------------------------------------------------- #
+def fetch_route_members() -> tuple[list[tuple[str, int]], dict[int, tuple[str, float, float]]]:
+    """Return (ref, node_id) pairs plus node_id -> (name, lat, lon)."""
+    seen_rel: set[int] = set()
+    ref_members: list[tuple[str, int]] = []
+    node_pos: dict[int, tuple[str, float, float]] = {}
+
+    south, west, north, east = BBOX
+    lat = south
+    tiles: list[tuple[float, float, float, float]] = []
+    while lat < north:
+        lon = west
+        while lon < east:
+            tiles.append((lat, lon, min(lat + LAT_STEP, north), min(lon + LON_STEP, east)))
+            lon += LON_STEP
+        lat += LAT_STEP
+
+    for i, (s, w, n, e) in enumerate(tiles, 1):
+        print(f"  route tile {i}/{len(tiles)} ({s:.1f},{w:.1f})", file=sys.stderr)
+        query = (
+            f"[out:json][timeout:400];"
+            f'relation["type"="route"]["route"~"^({ROUTE_MODES})$"]["ref"]'
+            f"({s},{w},{n},{e})->.r;"
+            f".r out body;"
+            f"node(r.r);out body;"
+        )
+        payload = overpass(query)
+        for el in payload.get("elements", []):
+            if el["type"] == "node":
+                tags = el.get("tags", {})
+                node_pos[el["id"]] = (tags.get("name", ""), el["lat"], el["lon"])
+            elif el["type"] == "relation":
+                if el["id"] in seen_rel:
+                    continue
+                seen_rel.add(el["id"])
+                ref = (el.get("tags", {}).get("ref") or "").strip()
+                if not ref:
+                    continue
+                for m in el.get("members", []):
+                    if m["type"] == "node" and m["role"] in STOP_ROLES:
+                        ref_members.append((ref, m["ref"]))
+        del payload
+
+    print(f"  {len(seen_rel)} routes, {len(ref_members)} stop memberships", file=sys.stderr)
+    return ref_members, node_pos
+
+
+def assign_lines(rows: list[dict], ref_members, node_pos) -> tuple[int, int]:
+    by_name: dict[str, list[int]] = {}
+    grid: dict[tuple[int, int], list[int]] = {}
+    for idx, row in enumerate(rows):
+        by_name.setdefault(normalize_name(row["name"]), []).append(idx)
+        cell = (round(row["latitude"] / 0.01), round(row["longitude"] / 0.01))
+        grid.setdefault(cell, []).append(idx)
+
+    def nearest(lat: float, lon: float, max_m: float) -> int | None:
+        best, best_d = None, max_m
+        base = (round(lat / 0.01), round(lon / 0.01))
+        for dr in (-1, 0, 1):
+            for dc in (-1, 0, 1):
+                for idx in grid.get((base[0] + dr, base[1] + dc), ()):
+                    d = haversine_m(lat, lon, rows[idx]["latitude"], rows[idx]["longitude"])
+                    if d < best_d:
+                        best, best_d = idx, d
+        return best
+
+    matched = unmatched = 0
+    for ref, node_id in ref_members:
+        pos = node_pos.get(node_id)
+        if pos is None:
+            unmatched += 1
+            continue
+        name, lat, lon = pos
+        idx = None
+        key = normalize_name(name) if name else ""
+        if key and key in by_name:
+            idx = min(
+                by_name[key],
+                key=lambda i: haversine_m(lat, lon, rows[i]["latitude"], rows[i]["longitude"]),
+            )
+            if haversine_m(lat, lon, rows[idx]["latitude"], rows[idx]["longitude"]) > 600:
+                idx = None
+        if idx is None:
+            idx = nearest(lat, lon, 120)
+        if idx is None:
+            unmatched += 1
+        else:
+            matched += 1
+            rows[idx]["lines"].add(ref)
+    return matched, unmatched
+
+
+def line_sort_key(ref: str):
+    head, i = "", 0
+    while i < len(ref) and not ref[i].isdigit():
+        head, i = head + ref[i], i + 1
+    digits = ""
+    while i < len(ref) and ref[i].isdigit():
+        digits, i = digits + ref[i], i + 1
+    return (head.lower(), int(digits) if digits else -1, ref[i:].lower())
+
+
+# --------------------------------------------------------------------------- #
 def main() -> None:
-    payload = fetch_raw()
+    print("Fetching stops ...", file=sys.stderr)
-    rows = build_rows(payload)
+    rows = build_stop_rows(overpass(STOPS_QUERY))
     if len(rows) < 10_000:
         raise SystemExit(
-            f"Only {len(rows)} stops parsed - refusing to overwrite the snapshot. "
+            f"Only {len(rows)} stops parsed - refusing to overwrite the snapshot."
-            "Overpass probably returned a partial result; try again later."
         )
+
+    print("Fetching routes ...", file=sys.stderr)
+    ref_members, node_pos = fetch_route_members()
+    matched, unmatched = assign_lines(rows, ref_members, node_pos)
+
     OUT_PATH.parent.mkdir(parents=True, exist_ok=True)
     with gzip.open(OUT_PATH, "wt", newline="", encoding="utf-8") as fh:
         writer = csv.DictWriter(fh, fieldnames=CSV_FIELDS)
         writer.writeheader()
-        writer.writerows(rows)
+        for row in rows:
+            row["lines"] = ";".join(sorted(row["lines"], key=line_sort_key))
+            writer.writerow(row)
+
     by_type: dict[str, int] = {}
     for row in rows:
         by_type[row["stop_type"]] = by_type.get(row["stop_type"], 0) + 1
+    with_lines = sum(1 for r in rows if r["lines"])
     print(f"Wrote {len(rows)} stops to {OUT_PATH}", file=sys.stderr)
     print(f"  by type: {by_type}", file=sys.stderr)
+    print(
+        f"  lines: {with_lines} stops have >=1 line "
+        f"(memberships matched {matched}, unmatched {unmatched})",
+        file=sys.stderr,
+    )
 
 
 if __name__ == "__main__":

static/stops.js

@@ -1,17 +1,16 @@
-/* Autocomplete for the origin/destination fields, backed by /api/stops.
+/* Autocomplete helpers for the "Neue Fahrt" form.
-   Progressive enhancement: without JS the inputs stay plain free-text fields.
+   - origin/destination: stop lookup from /api/stops, fills a hidden *_stop_id
-   A picked stop fills the sibling hidden <input> with its id; editing the text
+     when the text matches a known Austrian stop (free text still allowed).
-   afterwards clears it again, so unmatched entries save as free text. */
+   - line: suggestions from /api/lines, scoped to the chosen origin/destination
+     stops. Always free text; when exactly one line is possible and the field is
+     untouched it is pre-filled.
+   Progressive enhancement: without JS every field stays a plain input. */
 (function () {
   "use strict";
 
   var TYPE_LABEL = {
-    bus: "Bus",
+    bus: "Bus", tram: "Straßenbahn", subway: "U-Bahn", train: "Zug",
-    tram: "Straßenbahn",
+    bus_station: "Busbahnhof", other: "Haltestelle",
-    subway: "U-Bahn",
-    train: "Zug",
-    bus_station: "Busbahnhof",
-    other: "Haltestelle",
   };
 
   function debounce(fn, ms) {
@@ -23,12 +22,11 @@
     };
   }
 
-  function setup(input) {
+  /* Shared dropdown: owns the list element, keyboard nav and open/close.
+     opts: { fetchItems(query) -> Promise<item[]>,
+             fillOption(item, el), onChoose(item), minChars, onInput() } */
+  function attachCombo(input, opts) {
     var wrap = input.closest(".combo");
-    var hidden = wrap.querySelector(input.dataset.stopTarget);
-    var hint = wrap.querySelector("[data-stop-hint]");
-    if (!hidden) return;
-
     var list = document.createElement("div");
     list.className = "combo-list";
     list.hidden = true;
@@ -36,109 +34,197 @@
 
     var items = [];
     var active = -1;
-    var lastQuery = "";
+    var lastQuery = null;
-
+    var minChars = opts.minChars != null ? opts.minChars : 2;
-    function clearMatch() {
-      hidden.value = "";
-      if (hint) { hint.textContent = ""; hint.classList.remove("matched"); }
-    }
-
-    function markMatch(stop) {
-      hidden.value = String(stop.id);
-      if (hint) {
-        hint.textContent =
-          "✓ " + stop.name + (stop.municipality ? ", " + stop.municipality : "");
-        hint.classList.add("matched");
-      }
-    }
 
     function close() { list.hidden = true; active = -1; }
 
     function render() {
       list.innerHTML = "";
       if (!items.length) {
-        var empty = document.createElement("div");
+        if (opts.emptyText) {
-        empty.className = "combo-empty";
+          var empty = document.createElement("div");
-        empty.textContent =
+          empty.className = "combo-empty";
-          "Keine Haltestelle gefunden – Eingabe wird als Freitext gespeichert.";
+          empty.textContent = opts.emptyText;
-        list.appendChild(empty);
+          list.appendChild(empty);
-        list.hidden = false;
+          list.hidden = false;
+        } else {
+          close();
+        }
         return;
       }
-      items.forEach(function (stop, i) {
+      items.forEach(function (item, i) {
-        var opt = document.createElement("div");
+        var el = document.createElement("div");
-        opt.className = "combo-option" + (i === active ? " active" : "");
+        el.className = "combo-option" + (i === active ? " active" : "");
-        var name = document.createElement("span");
+        opts.fillOption(item, el);
-        name.className = "name";
+        el.addEventListener("mousedown", function (e) { e.preventDefault(); choose(i); });
-        name.textContent = stop.name;
+        list.appendChild(el);
-        opt.appendChild(name);
-        if (stop.municipality) {
-          var muni = document.createElement("span");
-          muni.className = "muni";
-          muni.textContent = stop.municipality;
-          opt.appendChild(muni);
-        }
-        var kind = document.createElement("span");
-        kind.className = "kind";
-        kind.textContent = TYPE_LABEL[stop.type] || "";
-        opt.appendChild(kind);
-        opt.addEventListener("mousedown", function (e) {
-          e.preventDefault();
-          choose(i);
-        });
-        list.appendChild(opt);
       });
       list.hidden = false;
     }
 
     function choose(i) {
-      var stop = items[i];
+      if (!items[i]) return;
-      if (!stop) return;
+      opts.onChoose(items[i]);
-      input.value = stop.name;
-      markMatch(stop);
       close();
     }
 
-    var search = debounce(function () {
+    var run = debounce(function () {
       var q = input.value.trim();
       lastQuery = q;
-      if (q.length < 2) { items = []; close(); return; }
+      if (q.length < minChars && minChars > 0) { items = []; close(); return; }
-      fetch("/api/stops?q=" + encodeURIComponent(q))
+      Promise.resolve(opts.fetchItems(q))
-        .then(function (r) { return r.ok ? r.json() : []; })
         .then(function (data) {
           if (input.value.trim() !== lastQuery) return;
-          items = data;
+          items = data || [];
           active = -1;
           render();
-          var exact = data.filter(function (s) {
+          if (opts.afterFetch) opts.afterFetch(items, lastQuery);
-            return s.name.toLowerCase() === lastQuery.toLowerCase();
-          })[0];
-          if (exact) { markMatch(exact); } else { clearMatch(); }
         })
         .catch(function () { items = []; close(); });
-    }, 180);
+    }, 160);
 
     input.setAttribute("autocomplete", "off");
-    input.addEventListener("input", function () { clearMatch(); search(); });
+    input.addEventListener("input", function () {
-    input.addEventListener("focus", function () { if (items.length) render(); });
+      if (opts.onInput) opts.onInput();
+      run();
+    });
+    input.addEventListener("focus", function () {
+      if (items.length) render(); else run();
+    });
     input.addEventListener("blur", function () { setTimeout(close, 120); });
     input.addEventListener("keydown", function (e) {
       if (list.hidden) return;
-      if (e.key === "ArrowDown") {
+      if (e.key === "ArrowDown") { e.preventDefault(); active = Math.min(active + 1, items.length - 1); render(); }
-        e.preventDefault();
+      else if (e.key === "ArrowUp") { e.preventDefault(); active = Math.max(active - 1, 0); render(); }
-        active = Math.min(active + 1, items.length - 1);
+      else if (e.key === "Enter" && active >= 0) { e.preventDefault(); choose(active); }
-        render();
+      else if (e.key === "Escape") { close(); }
-      } else if (e.key === "ArrowUp") {
+    });
-        e.preventDefault();
+
-        active = Math.max(active - 1, 0);
+    return { refresh: run, closeList: close };
-        render();
+  }
-      } else if (e.key === "Enter") {
+
-        if (active >= 0) { e.preventDefault(); choose(active); }
+  function setupStopCombo(input, form) {
-      } else if (e.key === "Escape") {
+    var wrap = input.closest(".combo");
-        close();
+    var hidden = wrap.querySelector(input.dataset.stopTarget);
+    var hint = wrap.querySelector("[data-stop-hint]");
+    if (!hidden) return;
+
+    function clearMatch() {
+      if (!hidden.value) return;
+      hidden.value = "";
+      if (hint) { hint.textContent = ""; hint.classList.remove("matched"); }
+      form.dispatchEvent(new CustomEvent("stopchange"));
+    }
+    function markMatch(stop) {
+      hidden.value = String(stop.id);
+      if (hint) {
+        hint.textContent = "✓ " + stop.name +
+          (stop.municipality ? ", " + stop.municipality : "");
+        hint.classList.add("matched");
       }
+      form.dispatchEvent(new CustomEvent("stopchange"));
+    }
+
+    attachCombo(input, {
+      emptyText: "Keine Haltestelle gefunden – Eingabe wird als Freitext gespeichert.",
+      onInput: clearMatch,
+      fetchItems: function (q) {
+        return fetch("/api/stops?q=" + encodeURIComponent(q))
+          .then(function (r) { return r.ok ? r.json() : []; });
+      },
+      fillOption: function (stop, el) {
+        var name = document.createElement("span");
+        name.className = "name";
+        name.textContent = stop.name;
+        el.appendChild(name);
+        if (stop.municipality) {
+          var m = document.createElement("span");
+          m.className = "muni";
+          m.textContent = stop.municipality;
+          el.appendChild(m);
+        }
+        var kind = document.createElement("span");
+        kind.className = "kind";
+        kind.textContent = TYPE_LABEL[stop.type] || "";
+        el.appendChild(kind);
+      },
+      onChoose: function (stop) { input.value = stop.name; markMatch(stop); },
+      afterFetch: function (data, q) {
+        var exact = data.filter(function (s) {
+          return s.name.toLowerCase() === q.toLowerCase();
+        })[0];
+        if (exact) markMatch(exact); else clearMatch();
+      },
     });
   }
 
-  document.querySelectorAll("[data-stop-input]").forEach(setup);
+  function setupLineCombo(input, form) {
+    var touched = false;
+    var hint = input.closest(".combo").querySelector("[data-line-hint]");
+    input.addEventListener("input", function () { touched = true; });
+
+    function context() {
+      var o = form.querySelector("#origin_stop_id");
+      var d = form.querySelector("#destination_stop_id");
+      return {
+        origin_stop_id: (o && o.value) || "",
+        destination_stop_id: (d && d.value) || "",
+      };
+    }
+
+    var combo = attachCombo(input, {
+      minChars: 0,
+      onInput: function () { touched = true; },
+      fetchItems: function (q) {
+        var ctx = context();
+        if (!ctx.origin_stop_id && !ctx.destination_stop_id) return [];
+        var qs = "origin_stop_id=" + encodeURIComponent(ctx.origin_stop_id) +
+          "&destination_stop_id=" + encodeURIComponent(ctx.destination_stop_id) +
+          "&q=" + encodeURIComponent(q);
+        return fetch("/api/lines?" + qs).then(function (r) { return r.ok ? r.json() : []; });
+      },
+      fillOption: function (line, el) {
+        var ref = document.createElement("span");
+        ref.className = "name";
+        ref.textContent = line.ref;
+        el.appendChild(ref);
+        if (line.both) {
+          var tag = document.createElement("span");
+          tag.className = "kind";
+          tag.textContent = "beide Halte";
+          el.appendChild(tag);
+        }
+      },
+      onChoose: function (line) { input.value = line.ref; touched = true; },
+    });
+
+    // Re-scope suggestions when a stop is picked/cleared; pre-fill an
+    // unambiguous line into an untouched field.
+    form.addEventListener("stopchange", function () {
+      var ctx = context();
+      if (!ctx.origin_stop_id && !ctx.destination_stop_id) return;
+      var qs = "origin_stop_id=" + encodeURIComponent(ctx.origin_stop_id) +
+        "&destination_stop_id=" + encodeURIComponent(ctx.destination_stop_id);
+      fetch("/api/lines?" + qs)
+        .then(function (r) { return r.ok ? r.json() : []; })
+        .then(function (lines) {
+          if (!touched && input.value.trim() === "" && lines.length === 1) {
+            input.value = lines[0].ref;
+          }
+          if (hint) {
+            hint.textContent = lines.length
+              ? lines.length + " Linie(n) an den gewählten Halten"
+              : "Keine Linien bekannt – Freitext";
+          }
+          if (document.activeElement === input) combo.refresh();
+        })
+        .catch(function () {});
+    });
+  }
+
+  document.querySelectorAll("form").forEach(function (form) {
+    form.querySelectorAll("[data-stop-input]").forEach(function (i) { setupStopCombo(i, form); });
+    form.querySelectorAll("[data-line-input]").forEach(function (i) { setupLineCombo(i, form); });
+  });
 })();

stops_import.py

@@ -72,6 +72,7 @@ def import_stops(path: Path | str = SNAPSHOT_PATH) -> dict[str, int]:
             municipality=(row.get("municipality") or "").strip() or None,
             latitude=float(row["latitude"]),
             longitude=float(row["longitude"]),
+            lines=(row.get("lines") or "").strip(),
         )
         stop = existing.get(key)
         if stop is None:

templates/add_entry.html

@@ -13,11 +13,6 @@
         </select>
       </div>
 
-      <div class="field">
-        <label for="line">Linie</label>
-        <input type="text" id="line" name="line" placeholder="z.B. S3, Bus 10">
-      </div>
-
       <div class="field combo">
         <label for="origin">Von<span class="required">*</span></label>
         <input type="text" id="origin" name="origin" required
@@ -36,6 +31,13 @@
         <p class="field-hint" data-stop-hint></p>
       </div>
 
+      <div class="field combo">
+        <label for="line">Linie</label>
+        <input type="text" id="line" name="line" placeholder="z.B. S3, 693"
+               data-line-input>
+        <p class="field-hint" data-line-hint>Halte oben wählen für Linienvorschläge.</p>
+      </div>
+
       <div class="field">
         <label for="trip_date">Datum<span class="required">*</span></label>
         <input type="date" id="trip_date" name="trip_date" value="{{ heute }}" required>