Switch from Infisical to Vault for secret loading

Replace Python stack with TypeScript. All 30+ GraphQL queries preserved including
phase-based routing (Dijkstra), H3 clustering, K_SHORTEST_PATHS, and external
routing services (GraphHopper, OpenRailRouting). Single public endpoint, no auth.

.gitignore

@@ -0,0 +1,2 @@
+node_modules
+dist

Dockerfile

@@ -1,24 +1,26 @@
-FROM python:3.12-slim
+FROM node:22-alpine AS builder
-
-ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1 \
-    NIXPACKS_POETRY_VERSION=2.2.1
 
 WORKDIR /app
 
-RUN apt-get update \
+COPY package.json ./
-    && apt-get install -y --no-install-recommends build-essential curl \
+RUN npm install
-    && rm -rf /var/lib/apt/lists/*
 
-RUN python -m venv --copies /opt/venv
+COPY tsconfig.json ./
-ENV VIRTUAL_ENV=/opt/venv
+COPY src ./src
-ENV PATH="/opt/venv/bin:$PATH"
+RUN npm run build
 
-COPY . .
+FROM node:22-alpine
 
-RUN pip install --no-cache-dir poetry==$NIXPACKS_POETRY_VERSION \
+RUN apk add --no-cache curl jq
-    && poetry install --no-interaction --no-ansi
 
-ENV PORT=8000
+WORKDIR /app
 
-CMD ["sh", "-c", "poetry run python manage.py collectstatic --noinput && poetry run python -m gunicorn geo.wsgi:application --bind 0.0.0.0:${PORT:-8000}"]
+COPY package.json ./
+RUN npm install --omit=dev
+
+COPY --from=builder /app/dist ./dist
+COPY scripts ./scripts
+
+EXPOSE 8000
+
+CMD ["sh", "-c", ". /app/scripts/load-vault-env.sh && node dist/index.js"]

geo/__init__.py

@@ -1 +0,0 @@
-"""Geo Django project."""

geo/settings.py

@@ -1,148 +0,0 @@
-import os
-from pathlib import Path
-from dotenv import load_dotenv
-from infisical_sdk import InfisicalSDKClient
-import sentry_sdk
-from sentry_sdk.integrations.django import DjangoIntegration
-
-load_dotenv()
-
-INFISICAL_API_URL = os.environ["INFISICAL_API_URL"]
-INFISICAL_CLIENT_ID = os.environ["INFISICAL_CLIENT_ID"]
-INFISICAL_CLIENT_SECRET = os.environ["INFISICAL_CLIENT_SECRET"]
-INFISICAL_PROJECT_ID = os.environ["INFISICAL_PROJECT_ID"]
-INFISICAL_ENV = os.environ.get("INFISICAL_ENV", "prod")
-
-client = InfisicalSDKClient(host=INFISICAL_API_URL)
-client.auth.universal_auth.login(
-    client_id=INFISICAL_CLIENT_ID,
-    client_secret=INFISICAL_CLIENT_SECRET,
-)
-
-# Fetch secrets from /geo and /shared
-for secret_path in ["/geo", "/shared"]:
-    secrets_response = client.secrets.list_secrets(
-        environment_slug=INFISICAL_ENV,
-        secret_path=secret_path,
-        project_id=INFISICAL_PROJECT_ID,
-        expand_secret_references=True,
-        view_secret_value=True,
-    )
-    for secret in secrets_response.secrets:
-        os.environ[secret.secretKey] = secret.secretValue
-
-BASE_DIR = Path(__file__).resolve().parent.parent
-
-SECRET_KEY = os.getenv('DJANGO_SECRET_KEY', 'dev-secret-key-change-in-production')
-
-DEBUG = os.getenv('DEBUG', 'False') == 'True'
-
-# Sentry/GlitchTip configuration
-SENTRY_DSN = os.getenv('SENTRY_DSN', '')
-if SENTRY_DSN:
-    sentry_sdk.init(
-        dsn=SENTRY_DSN,
-        integrations=[DjangoIntegration()],
-        auto_session_tracking=False,
-        traces_sample_rate=0.01,
-        release=os.getenv('RELEASE_VERSION', '1.0.0'),
-        environment=os.getenv('ENVIRONMENT', 'production'),
-        send_default_pii=False,
-        debug=DEBUG,
-    )
-
-ALLOWED_HOSTS = ['*']
-
-CSRF_TRUSTED_ORIGINS = ['https://geo.optovia.ru']
-
-INSTALLED_APPS = [
-    'whitenoise.runserver_nostatic',
-    'django.contrib.contenttypes',
-    'django.contrib.staticfiles',
-    'corsheaders',
-    'graphene_django',
-    'geo_app',
-]
-
-MIDDLEWARE = [
-    'corsheaders.middleware.CorsMiddleware',
-    'django.middleware.security.SecurityMiddleware',
-    'whitenoise.middleware.WhiteNoiseMiddleware',
-    'django.middleware.common.CommonMiddleware',
-]
-
-ROOT_URLCONF = 'geo.urls'
-
-TEMPLATES = [
-    {
-        'BACKEND': 'django.template.backends.django.DjangoTemplates',
-        'DIRS': [],
-        'APP_DIRS': True,
-        'OPTIONS': {
-            'context_processors': [
-                'django.template.context_processors.debug',
-                'django.template.context_processors.request',
-            ],
-        },
-    },
-]
-
-WSGI_APPLICATION = 'geo.wsgi.application'
-
-# No database - we use ArangoDB directly
-DATABASES = {}
-
-# Internationalization
-LANGUAGE_CODE = 'ru-ru'
-TIME_ZONE = 'UTC'
-USE_I18N = True
-USE_TZ = True
-
-# Static files
-STATIC_URL = '/static/'
-STATIC_ROOT = BASE_DIR / 'staticfiles'
-
-# Default primary key field type
-DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
-
-# CORS
-CORS_ALLOW_ALL_ORIGINS = False
-CORS_ALLOWED_ORIGINS = ['https://optovia.ru']
-CORS_ALLOW_CREDENTIALS = True
-
-# GraphQL
-GRAPHENE = {
-    'SCHEMA': 'geo_app.schema.schema',
-}
-
-# ArangoDB connection (internal M2M)
-ARANGODB_INTERNAL_URL = os.getenv('ARANGODB_INTERNAL_URL', 'localhost:8529')
-ARANGODB_DATABASE = os.getenv('ARANGODB_DATABASE', 'optovia_maps')
-ARANGODB_PASSWORD = os.getenv('ARANGODB_PASSWORD', '')
-
-# Routing services (external APIs)
-GRAPHHOPPER_EXTERNAL_URL = os.getenv('GRAPHHOPPER_EXTERNAL_URL', 'https://graphhopper.optovia.ru')
-OPENRAILROUTING_EXTERNAL_URL = os.getenv('OPENRAILROUTING_EXTERNAL_URL', 'https://openrailrouting.optovia.ru')
-
-# Logging
-LOGGING = {
-    'version': 1,
-    'disable_existing_loggers': False,
-    'handlers': {
-        'console': {
-            'class': 'logging.StreamHandler',
-        },
-    },
-    'loggers': {
-        'django.request': {
-            'handlers': ['console'],
-            'level': 'DEBUG',
-            'propagate': False,
-        },
-        'geo_app': {
-            'handlers': ['console'],
-            'level': 'DEBUG',
-            'propagate': False,
-        },
-    },
-}

geo/settings_local.py

@@ -1,125 +0,0 @@
-import os
-from pathlib import Path
-from dotenv import load_dotenv
-import sentry_sdk
-from sentry_sdk.integrations.django import DjangoIntegration
-
-load_dotenv()
-
-
-
-BASE_DIR = Path(__file__).resolve().parent.parent
-
-SECRET_KEY = os.getenv('DJANGO_SECRET_KEY', 'dev-secret-key-change-in-production')
-
-DEBUG = True
-
-# Sentry/GlitchTip configuration
-SENTRY_DSN = os.getenv('SENTRY_DSN', '')
-if SENTRY_DSN:
-    sentry_sdk.init(
-        dsn=SENTRY_DSN,
-        integrations=[DjangoIntegration()],
-        auto_session_tracking=False,
-        traces_sample_rate=0.01,
-        release=os.getenv('RELEASE_VERSION', '1.0.0'),
-        environment=os.getenv('ENVIRONMENT', 'production'),
-        send_default_pii=False,
-        debug=DEBUG,
-    )
-
-ALLOWED_HOSTS = ['*']
-
-CSRF_TRUSTED_ORIGINS = ['https://geo.optovia.ru']
-
-INSTALLED_APPS = [
-    'whitenoise.runserver_nostatic',
-    'django.contrib.contenttypes',
-    'django.contrib.staticfiles',
-    'corsheaders',
-    'graphene_django',
-    'geo_app',
-]
-
-MIDDLEWARE = [
-    'corsheaders.middleware.CorsMiddleware',
-    'django.middleware.security.SecurityMiddleware',
-    'whitenoise.middleware.WhiteNoiseMiddleware',
-    'django.middleware.common.CommonMiddleware',
-]
-
-ROOT_URLCONF = 'geo.urls'
-
-TEMPLATES = [
-    {
-        'BACKEND': 'django.template.backends.django.DjangoTemplates',
-        'DIRS': [],
-        'APP_DIRS': True,
-        'OPTIONS': {
-            'context_processors': [
-                'django.template.context_processors.debug',
-                'django.template.context_processors.request',
-            ],
-        },
-    },
-]
-
-WSGI_APPLICATION = 'geo.wsgi.application'
-
-# No database - we use ArangoDB directly
-DATABASES = {}
-
-# Internationalization
-LANGUAGE_CODE = 'ru-ru'
-TIME_ZONE = 'UTC'
-USE_I18N = True
-USE_TZ = True
-
-# Static files
-STATIC_URL = '/static/'
-STATIC_ROOT = BASE_DIR / 'staticfiles'
-
-# Default primary key field type
-DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
-
-# CORS
-CORS_ALLOW_ALL_ORIGINS = False
-CORS_ALLOWED_ORIGINS = ['http://localhost:3000', 'https://optovia.ru']
-CORS_ALLOW_CREDENTIALS = True
-
-# GraphQL
-GRAPHENE = {
-    'SCHEMA': 'geo_app.schema.schema',
-}
-
-# ArangoDB connection (internal M2M)
-ARANGODB_INTERNAL_URL = os.getenv('ARANGODB_INTERNAL_URL', 'localhost:8529')
-ARANGODB_DATABASE = os.getenv('ARANGODB_DATABASE', 'optovia_maps')
-ARANGODB_PASSWORD = os.getenv('ARANGODB_PASSWORD', '')
-
-# Routing services (external APIs)
-GRAPHHOPPER_EXTERNAL_URL = os.getenv('GRAPHHOPPER_EXTERNAL_URL', 'https://graphhopper.optovia.ru')
-OPENRAILROUTING_EXTERNAL_URL = os.getenv('OPENRAILROUTING_EXTERNAL_URL', 'https://openrailrouting.optovia.ru')
-
-# Logging
-LOGGING = {
-    'version': 1,
-    'disable_existing_loggers': False,
-    'handlers': {
-        'console': {
-            'class': 'logging.StreamHandler',
-        },
-    },
-    'loggers': {
-        'django.request': {
-            'handlers': ['console'],
-            'level': 'DEBUG',
-            'propagate': False,
-        },
-        'geo_app': {
-            'handlers': ['console'],
-            'level': 'DEBUG',
-            'propagate': False,
-        },
-    },
-}

geo/urls.py

@@ -1,7 +0,0 @@
-from django.urls import path
-from graphene_django.views import GraphQLView
-from django.views.decorators.csrf import csrf_exempt
-
-urlpatterns = [
-    path('graphql/public/', csrf_exempt(GraphQLView.as_view(graphiql=True))),
-]

geo/wsgi.py

@@ -1,5 +0,0 @@
-import os
-from django.core.wsgi import get_wsgi_application
-
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'geo.settings')
-application = get_wsgi_application()

geo_app/__init__.py

@@ -1 +0,0 @@
-"""Geo app - logistics graph operations."""

geo_app/apps.py

@@ -1,6 +0,0 @@
-from django.apps import AppConfig
-
-
-class GeoAppConfig(AppConfig):
-    default_auto_field = 'django.db.models.BigAutoField'
-    name = 'geo_app'

geo_app/arango_client.py

@@ -1,49 +0,0 @@
-"""ArangoDB client singleton."""
-import logging
-from arango import ArangoClient
-from django.conf import settings
-
-logger = logging.getLogger(__name__)
-
-_db = None
-
-
-def get_db():
-    """Get ArangoDB database connection (singleton)."""
-    global _db
-    if _db is None:
-        hosts = settings.ARANGODB_INTERNAL_URL
-        if not hosts.startswith("http"):
-            hosts = f"http://{hosts}"
-
-        client = ArangoClient(hosts=hosts)
-        _db = client.db(
-            settings.ARANGODB_DATABASE,
-            username='root',
-            password=settings.ARANGODB_PASSWORD,
-        )
-        logger.info(
-            "Connected to ArangoDB: %s/%s",
-            hosts,
-            settings.ARANGODB_DATABASE,
-        )
-    return _db
-
-
-def ensure_graph():
-    """Ensure named graph exists for K_SHORTEST_PATHS queries."""
-    db = get_db()
-    graph_name = 'optovia_graph'
-
-    if db.has_graph(graph_name):
-        return db.graph(graph_name)
-
-    logger.info("Creating graph: %s", graph_name)
-    return db.create_graph(
-        graph_name,
-        edge_definitions=[{
-            'edge_collection': 'edges',
-            'from_vertex_collections': ['nodes'],
-            'to_vertex_collections': ['nodes'],
-        }],
-    )

geo_app/cluster_index.py

@@ -1,122 +0,0 @@
-"""
-Server-side map clustering using Uber H3 hexagonal grid.
-
-Maps zoom levels to h3 resolutions and groups nodes by cell.
-"""
-import logging
-import threading
-import h3
-
-logger = logging.getLogger(__name__)
-
-# Global cache for nodes
-_nodes_cache = {}
-_cache_lock = threading.Lock()
-
-# Map zoom level to h3 resolution
-# Higher zoom = higher resolution = smaller cells
-ZOOM_TO_RES = {
-    0: 0, 1: 0, 2: 1, 3: 1, 4: 2, 5: 2,
-    6: 3, 7: 3, 8: 4, 9: 4, 10: 5, 11: 5,
-    12: 6, 13: 7, 14: 8, 15: 9, 16: 10
-}
-
-
-def _fetch_nodes(db, transport_type=None):
-    """Fetch nodes from database with caching."""
-    cache_key = f"nodes:{transport_type or 'all'}"
-
-    with _cache_lock:
-        if cache_key not in _nodes_cache:
-            aql = """
-            FOR node IN nodes
-                FILTER node.node_type == 'logistics' OR node.node_type == null
-                FILTER node.latitude != null AND node.longitude != null
-                RETURN node
-            """
-            cursor = db.aql.execute(aql)
-            all_nodes = list(cursor)
-
-            # Filter by transport type if specified
-            if transport_type:
-                all_nodes = [
-                    n for n in all_nodes
-                    if transport_type in (n.get('transport_types') or [])
-                ]
-
-            _nodes_cache[cache_key] = all_nodes
-            logger.info("Cached %d nodes for %s", len(all_nodes), cache_key)
-
-        return _nodes_cache[cache_key]
-
-
-def get_clustered_nodes(db, west, south, east, north, zoom, transport_type=None):
-    """
-    Get clustered nodes for given bounding box and zoom level.
-
-    Uses H3 hexagonal grid to group nearby nodes.
-    """
-    resolution = ZOOM_TO_RES.get(int(zoom), 5)
-    nodes = _fetch_nodes(db, transport_type)
-
-    if not nodes:
-        return []
-
-    # Group nodes by h3 cell
-    cells = {}
-    for node in nodes:
-        lat = node.get('latitude')
-        lng = node.get('longitude')
-
-        # Skip nodes outside bounding box (rough filter)
-        if lat < south or lat > north or lng < west or lng > east:
-            continue
-
-        cell = h3.latlng_to_cell(lat, lng, resolution)
-        if cell not in cells:
-            cells[cell] = []
-        cells[cell].append(node)
-
-    # Build results
-    results = []
-    for cell, nodes_in_cell in cells.items():
-        count = len(nodes_in_cell)
-
-        if count == 1:
-            # Single point — return actual node data
-            node = nodes_in_cell[0]
-            results.append({
-                'id': node.get('_key'),
-                'latitude': node.get('latitude'),
-                'longitude': node.get('longitude'),
-                'count': 1,
-                'expansion_zoom': None,
-                'name': node.get('name'),
-            })
-        else:
-            # Cluster — return cell centroid
-            lat, lng = h3.cell_to_latlng(cell)
-            results.append({
-                'id': f"cluster-{cell}",
-                'latitude': lat,
-                'longitude': lng,
-                'count': count,
-                'expansion_zoom': min(zoom + 2, 16),
-                'name': None,
-            })
-
-    logger.info("Returning %d clusters/points for zoom=%d res=%d", len(results), zoom, resolution)
-    return results
-
-
-def invalidate_cache(transport_type=None):
-    """Invalidate node cache after data changes."""
-    with _cache_lock:
-        if transport_type:
-            cache_key = f"nodes:{transport_type}"
-            if cache_key in _nodes_cache:
-                del _nodes_cache[cache_key]
-        else:
-            _nodes_cache.clear()
-
-    logger.info("Cluster cache invalidated")

geo_app/route_engine.py

@@ -0,0 +1,200 @@
+"""Unified graph routing helpers."""
+import heapq
+
+from .arango_client import ensure_graph
+
+
+def _allowed_next_phase(current_phase, transport_type):
+    """
+    Phase-based routing: auto → rail* → auto.
+    - end_auto: allow one auto, rail, or offer
+    - end_auto_done: auto used — rail or offer
+    - rail: any number of rail, then one auto or offer
+    - start_auto_done: auto used — only offer
+    """
+    if current_phase == 'end_auto':
+        if transport_type == 'offer':
+            return 'offer'
+        if transport_type == 'auto':
+            return 'end_auto_done'
+        if transport_type == 'rail':
+            return 'rail'
+        return None
+    if current_phase == 'end_auto_done':
+        if transport_type == 'offer':
+            return 'offer'
+        if transport_type == 'rail':
+            return 'rail'
+        return None
+    if current_phase == 'rail':
+        if transport_type == 'offer':
+            return 'offer'
+        if transport_type == 'rail':
+            return 'rail'
+        if transport_type == 'auto':
+            return 'start_auto_done'
+        return None
+    if current_phase == 'start_auto_done':
+        if transport_type == 'offer':
+            return 'offer'
+        return None
+    return None
+
+
+def _allowed_types_for_phase(phase):
+    if phase == 'end_auto':
+        return ['auto', 'rail', 'offer']
+    if phase == 'end_auto_done':
+        return ['rail', 'offer']
+    if phase == 'rail':
+        return ['rail', 'auto', 'offer']
+    if phase == 'start_auto_done':
+        return ['offer']
+    return ['offer']
+
+
+def _fetch_neighbors(db, node_key, allowed_types):
+    aql = """
+    FOR edge IN edges
+        FILTER edge.transport_type IN @types
+        FILTER edge._from == @node_id OR edge._to == @node_id
+        LET neighbor_id = edge._from == @node_id ? edge._to : edge._from
+        LET neighbor = DOCUMENT(neighbor_id)
+        FILTER neighbor != null
+        RETURN {
+            neighbor_key: neighbor._key,
+            neighbor_doc: neighbor,
+            from_id: edge._from,
+            to_id: edge._to,
+            transport_type: edge.transport_type,
+            distance_km: edge.distance_km,
+            travel_time_seconds: edge.travel_time_seconds
+        }
+    """
+    cursor = db.aql.execute(
+        aql,
+        bind_vars={'node_id': f"nodes/{node_key}", 'types': allowed_types},
+    )
+    return list(cursor)
+
+
+def graph_find_targets(db, start_uuid, target_predicate, route_builder, limit=10, max_expansions=20000):
+    """Unified graph traversal: auto → rail* → auto, returns routes for target nodes."""
+    ensure_graph()
+
+    nodes_col = db.collection('nodes')
+    start = nodes_col.get(start_uuid)
+    if not start:
+        return []
+
+    queue = []
+    counter = 0
+    heapq.heappush(queue, (0, counter, start_uuid, 'end_auto'))
+
+    visited = {}
+    predecessors = {}
+    node_docs = {start_uuid: start}
+    found = []
+    expansions = 0
+
+    while queue and len(found) < limit and expansions < max_expansions:
+        cost, _, node_key, phase = heapq.heappop(queue)
+
+        if (node_key, phase) in visited and cost > visited[(node_key, phase)]:
+            continue
+        visited[(node_key, phase)] = cost
+
+        node_doc = node_docs.get(node_key)
+        if node_doc and target_predicate(node_doc):
+            path_edges = []
+            state = (node_key, phase)
+            current_key = node_key
+            while state in predecessors:
+                prev_state, edge_info = predecessors[state]
+                prev_key = prev_state[0]
+                path_edges.append((current_key, prev_key, edge_info))
+                state = prev_state
+                current_key = prev_key
+
+            route = route_builder(path_edges, node_docs) if route_builder else None
+            distance_km = route.total_distance_km if route else None
+
+            found.append({
+                'node': node_doc,
+                'route': route,
+                'distance_km': distance_km,
+                'cost': cost,
+            })
+            continue
+
+        neighbors = _fetch_neighbors(db, node_key, _allowed_types_for_phase(phase))
+        expansions += 1
+
+        for neighbor in neighbors:
+            transport_type = neighbor.get('transport_type')
+            next_phase = _allowed_next_phase(phase, transport_type)
+            if next_phase is None:
+                continue
+
+            travel_time = neighbor.get('travel_time_seconds')
+            distance_km = neighbor.get('distance_km')
+            neighbor_key = neighbor.get('neighbor_key')
+            if not neighbor_key:
+                continue
+
+            node_docs[neighbor_key] = neighbor.get('neighbor_doc')
+            step_cost = travel_time if travel_time is not None else (distance_km or 0)
+            new_cost = cost + step_cost
+
+            state_key = (neighbor_key, next_phase)
+            if state_key in visited and new_cost >= visited[state_key]:
+                continue
+
+            counter += 1
+            heapq.heappush(queue, (new_cost, counter, neighbor_key, next_phase))
+            predecessors[state_key] = ((node_key, phase), neighbor)
+
+    return found
+
+
+def snap_to_nearest_hub(db, lat, lon):
+    aql = """
+    FOR hub IN nodes
+        FILTER hub.node_type == 'logistics' OR hub.node_type == null
+        FILTER hub.product_uuid == null
+        LET types = hub.transport_types != null ? hub.transport_types : []
+        FILTER ('rail' IN types) OR ('sea' IN types)
+        FILTER hub.latitude != null AND hub.longitude != null
+        LET dist = DISTANCE(hub.latitude, hub.longitude, @lat, @lon) / 1000
+        SORT dist ASC
+        LIMIT 1
+        RETURN hub
+    """
+    cursor = db.aql.execute(aql, bind_vars={'lat': lat, 'lon': lon})
+    hubs = list(cursor)
+    return hubs[0] if hubs else None
+
+
+def resolve_start_hub(db, source_uuid=None, lat=None, lon=None):
+    nodes_col = db.collection('nodes')
+
+    if source_uuid:
+        node = nodes_col.get(source_uuid)
+        if not node:
+            return None
+
+        if node.get('node_type') in ('logistics', None):
+            types = node.get('transport_types') or []
+            if ('rail' in types) or ('sea' in types):
+                return node
+
+        node_lat = node.get('latitude')
+        node_lon = node.get('longitude')
+        if node_lat is None or node_lon is None:
+            return None
+        return snap_to_nearest_hub(db, node_lat, node_lon)
+
+    if lat is None or lon is None:
+        return None
+
+    return snap_to_nearest_hub(db, lat, lon)

geo_app/schema.py

@@ -1,866 +0,0 @@
-"""GraphQL schema for Geo service."""
-import logging
-import heapq
-import math
-import requests
-import graphene
-from django.conf import settings
-from .arango_client import get_db, ensure_graph
-from .cluster_index import get_clustered_nodes, invalidate_cache
-
-logger = logging.getLogger(__name__)
-
-
-class EdgeType(graphene.ObjectType):
-    """Edge between two nodes (route)."""
-    to_uuid = graphene.String()
-    to_name = graphene.String()
-    to_latitude = graphene.Float()
-    to_longitude = graphene.Float()
-    distance_km = graphene.Float()
-    travel_time_seconds = graphene.Int()
-    transport_type = graphene.String()
-
-
-class NodeType(graphene.ObjectType):
-    """Logistics node with edges to neighbors."""
-    uuid = graphene.String()
-    name = graphene.String()
-    latitude = graphene.Float()
-    longitude = graphene.Float()
-    country = graphene.String()
-    country_code = graphene.String()
-    synced_at = graphene.String()
-    transport_types = graphene.List(graphene.String)
-    edges = graphene.List(EdgeType)
-
-
-class NodeConnectionsType(graphene.ObjectType):
-    """Auto + rail edges for a node, rail uses nearest rail node."""
-    hub = graphene.Field(NodeType)
-    rail_node = graphene.Field(NodeType)
-    auto_edges = graphene.List(EdgeType)
-    rail_edges = graphene.List(EdgeType)
-
-
-class RouteType(graphene.ObjectType):
-    """Route between two points with geometry."""
-    distance_km = graphene.Float()
-    geometry = graphene.JSONString(description="GeoJSON LineString coordinates")
-
-
-class RouteStageType(graphene.ObjectType):
-    """Single stage in a multi-hop route."""
-    from_uuid = graphene.String()
-    from_name = graphene.String()
-    from_lat = graphene.Float()
-    from_lon = graphene.Float()
-    to_uuid = graphene.String()
-    to_name = graphene.String()
-    to_lat = graphene.Float()
-    to_lon = graphene.Float()
-    distance_km = graphene.Float()
-    travel_time_seconds = graphene.Int()
-    transport_type = graphene.String()
-
-
-class RoutePathType(graphene.ObjectType):
-    """Complete route through graph with multiple stages."""
-    total_distance_km = graphene.Float()
-    total_time_seconds = graphene.Int()
-    stages = graphene.List(RouteStageType)
-
-
-class ProductRouteOptionType(graphene.ObjectType):
-    """Route options for a product source to the destination."""
-    source_uuid = graphene.String()
-    source_name = graphene.String()
-    source_lat = graphene.Float()
-    source_lon = graphene.Float()
-    distance_km = graphene.Float()
-    routes = graphene.List(RoutePathType)
-
-
-class ClusterPointType(graphene.ObjectType):
-    """Cluster or individual point for map display."""
-    id = graphene.String(description="UUID for points, 'cluster-N' for clusters")
-    latitude = graphene.Float()
-    longitude = graphene.Float()
-    count = graphene.Int(description="1 for single point, >1 for cluster")
-    expansion_zoom = graphene.Int(description="Zoom level to expand cluster")
-    name = graphene.String(description="Node name (only for single points)")
-
-
-class Query(graphene.ObjectType):
-    """Root query."""
-    MAX_EXPANSIONS = 20000
-
-    node = graphene.Field(
-        NodeType,
-        uuid=graphene.String(required=True),
-        description="Get node by UUID with all edges to neighbors",
-    )
-
-    nodes = graphene.List(
-        NodeType,
-        description="Get all nodes (without edges for performance)",
-        limit=graphene.Int(),
-        offset=graphene.Int(),
-        transport_type=graphene.String(),
-        country=graphene.String(description="Filter by country name"),
-        search=graphene.String(description="Search by node name (case-insensitive)"),
-    )
-    nodes_count = graphene.Int(
-        transport_type=graphene.String(),
-        country=graphene.String(description="Filter by country name"),
-        description="Get total count of nodes (with optional transport/country filter)",
-    )
-
-    hub_countries = graphene.List(
-        graphene.String,
-        description="List of countries that have logistics hubs",
-    )
-
-    nearest_nodes = graphene.List(
-        NodeType,
-        lat=graphene.Float(required=True, description="Latitude"),
-        lon=graphene.Float(required=True, description="Longitude"),
-        limit=graphene.Int(default_value=5, description="Max results"),
-        description="Find nearest logistics nodes to given coordinates",
-    )
-
-    node_connections = graphene.Field(
-        NodeConnectionsType,
-        uuid=graphene.String(required=True),
-        limit_auto=graphene.Int(default_value=12),
-        limit_rail=graphene.Int(default_value=12),
-        description="Get auto + rail edges for a node (rail uses nearest rail node)",
-    )
-
-    auto_route = graphene.Field(
-        RouteType,
-        from_lat=graphene.Float(required=True),
-        from_lon=graphene.Float(required=True),
-        to_lat=graphene.Float(required=True),
-        to_lon=graphene.Float(required=True),
-        description="Get auto route between two points via GraphHopper",
-    )
-
-    rail_route = graphene.Field(
-        RouteType,
-        from_lat=graphene.Float(required=True),
-        from_lon=graphene.Float(required=True),
-        to_lat=graphene.Float(required=True),
-        to_lon=graphene.Float(required=True),
-        description="Get rail route between two points via OpenRailRouting",
-    )
-
-    find_routes = graphene.List(
-        RoutePathType,
-        from_uuid=graphene.String(required=True),
-        to_uuid=graphene.String(required=True),
-        limit=graphene.Int(default_value=3),
-        description="Find K shortest routes through graph between two nodes",
-    )
-
-    find_product_routes = graphene.List(
-        ProductRouteOptionType,
-        product_uuid=graphene.String(required=True),
-        to_uuid=graphene.String(required=True),
-        limit_sources=graphene.Int(default_value=3),
-        limit_routes=graphene.Int(default_value=3),
-        description="Find routes from product offer nodes to destination",
-    )
-
-    clustered_nodes = graphene.List(
-        ClusterPointType,
-        west=graphene.Float(required=True, description="Bounding box west longitude"),
-        south=graphene.Float(required=True, description="Bounding box south latitude"),
-        east=graphene.Float(required=True, description="Bounding box east longitude"),
-        north=graphene.Float(required=True, description="Bounding box north latitude"),
-        zoom=graphene.Int(required=True, description="Map zoom level (0-16)"),
-        transport_type=graphene.String(description="Filter by transport type"),
-        description="Get clustered nodes for map display (server-side clustering)",
-    )
-
-    @staticmethod
-    def _build_routes(db, from_uuid, to_uuid, limit):
-        """Shared helper to compute K shortest routes between two nodes."""
-        aql = """
-        FOR path IN ANY K_SHORTEST_PATHS
-            @from_vertex TO @to_vertex
-            GRAPH 'optovia_graph'
-            OPTIONS { weightAttribute: 'distance_km' }
-            LIMIT @limit
-            RETURN {
-                vertices: path.vertices,
-                edges: path.edges,
-                weight: path.weight
-            }
-        """
-
-        try:
-            cursor = db.aql.execute(
-                aql,
-                bind_vars={
-                    'from_vertex': f'nodes/{from_uuid}',
-                    'to_vertex': f'nodes/{to_uuid}',
-                    'limit': limit,
-                },
-            )
-            paths = list(cursor)
-        except Exception as e:
-            logger.error("K_SHORTEST_PATHS query failed: %s", e)
-            return []
-
-        if not paths:
-            logger.info("No paths found from %s to %s", from_uuid, to_uuid)
-            return []
-
-        routes = []
-        for path in paths:
-            vertices = path.get('vertices', [])
-            edges = path.get('edges', [])
-
-            # Build vertex lookup by _id
-            vertex_by_id = {v['_id']: v for v in vertices}
-
-            stages = []
-            for edge in edges:
-                from_node = vertex_by_id.get(edge['_from'], {})
-                to_node = vertex_by_id.get(edge['_to'], {})
-
-                stages.append(RouteStageType(
-                    from_uuid=from_node.get('_key'),
-                    from_name=from_node.get('name'),
-                    from_lat=from_node.get('latitude'),
-                    from_lon=from_node.get('longitude'),
-                    to_uuid=to_node.get('_key'),
-                    to_name=to_node.get('name'),
-                    to_lat=to_node.get('latitude'),
-                    to_lon=to_node.get('longitude'),
-                    distance_km=edge.get('distance_km'),
-                    travel_time_seconds=edge.get('travel_time_seconds'),
-                    transport_type=edge.get('transport_type'),
-                ))
-
-            total_time = sum(s.travel_time_seconds or 0 for s in stages)
-
-            routes.append(RoutePathType(
-                total_distance_km=path.get('weight'),
-                total_time_seconds=total_time,
-                stages=stages,
-            ))
-
-        return routes
-
-    def resolve_node(self, info, uuid):
-        """
-        Get a single node with all its outgoing edges.
-
-        Returns node info + list of edges to neighbors with distances.
-        """
-        db = get_db()
-
-        # Get node
-        nodes_col = db.collection('nodes')
-        node = nodes_col.get(uuid)
-        if not node:
-            return None
-
-        # Get all outgoing edges from this node
-        edges_col = db.collection('edges')
-        aql = """
-        FOR edge IN edges
-            FILTER edge._from == @from_id
-            LET to_node = DOCUMENT(edge._to)
-            RETURN {
-                to_uuid: to_node._key,
-                to_name: to_node.name,
-                to_latitude: to_node.latitude,
-                to_longitude: to_node.longitude,
-                distance_km: edge.distance_km,
-                travel_time_seconds: edge.travel_time_seconds,
-                transport_type: edge.transport_type
-            }
-        """
-        cursor = db.aql.execute(aql, bind_vars={'from_id': f"nodes/{uuid}"})
-        edges = list(cursor)
-
-        logger.info("Node %s has %d edges", uuid, len(edges))
-
-        return NodeType(
-            uuid=node['_key'],
-            name=node.get('name'),
-            latitude=node.get('latitude'),
-            longitude=node.get('longitude'),
-            country=node.get('country'),
-            country_code=node.get('country_code'),
-            synced_at=node.get('synced_at'),
-            transport_types=node.get('transport_types') or [],
-            edges=[EdgeType(**e) for e in edges],
-        )
-
-    def resolve_nodes(self, info, limit=None, offset=None, transport_type=None, country=None, search=None):
-        """Get all logistics nodes (without edges for list view)."""
-        db = get_db()
-
-        # Only return logistics nodes (not buyer/seller addresses)
-        aql = """
-        FOR node IN nodes
-            FILTER node.node_type == 'logistics' OR node.node_type == null
-            LET types = node.transport_types != null ? node.transport_types : []
-            FILTER @transport_type == null OR @transport_type IN types
-            FILTER @country == null OR node.country == @country
-            FILTER @search == null OR CONTAINS(LOWER(node.name), LOWER(@search)) OR CONTAINS(LOWER(node.country), LOWER(@search))
-            SORT node.name ASC
-            LIMIT @offset, @limit
-            RETURN node
-        """
-        cursor = db.aql.execute(
-            aql,
-            bind_vars={
-                'transport_type': transport_type,
-                'country': country,
-                'search': search,
-                'offset': 0 if offset is None else offset,
-                'limit': 1000000 if limit is None else limit,
-            },
-        )
-
-        nodes = []
-        for node in cursor:
-            nodes.append(NodeType(
-                uuid=node['_key'],
-                name=node.get('name'),
-                latitude=node.get('latitude'),
-                longitude=node.get('longitude'),
-                country=node.get('country'),
-                country_code=node.get('country_code'),
-                synced_at=node.get('synced_at'),
-                transport_types=node.get('transport_types') or [],
-                edges=[],  # Don't load edges for list
-            ))
-
-        logger.info("Returning %d nodes", len(nodes))
-        return nodes
-
-    def resolve_nodes_count(self, info, transport_type=None, country=None):
-        db = get_db()
-        aql = """
-        FOR node IN nodes
-            FILTER node.node_type == 'logistics' OR node.node_type == null
-            LET types = node.transport_types != null ? node.transport_types : []
-            FILTER @transport_type == null OR @transport_type IN types
-            FILTER @country == null OR node.country == @country
-            COLLECT WITH COUNT INTO length
-            RETURN length
-        """
-        cursor = db.aql.execute(aql, bind_vars={'transport_type': transport_type, 'country': country})
-        return next(cursor, 0)
-
-    def resolve_hub_countries(self, info):
-        """Get unique country names from logistics hubs."""
-        db = get_db()
-        aql = """
-        FOR node IN nodes
-            FILTER node.node_type == 'logistics' OR node.node_type == null
-            FILTER node.country != null
-            COLLECT country = node.country
-            SORT country ASC
-            RETURN country
-        """
-        cursor = db.aql.execute(aql)
-        return list(cursor)
-
-    def resolve_nearest_nodes(self, info, lat, lon, limit=5):
-        """Find nearest logistics nodes to given coordinates."""
-        db = get_db()
-
-        # Get all logistics nodes and calculate distance
-        aql = """
-        FOR node IN nodes
-            FILTER node.node_type == 'logistics' OR node.node_type == null
-            FILTER node.latitude != null AND node.longitude != null
-            LET dist = DISTANCE(node.latitude, node.longitude, @lat, @lon) / 1000
-            SORT dist ASC
-            LIMIT @limit
-            RETURN MERGE(node, {distance_km: dist})
-        """
-        cursor = db.aql.execute(
-            aql,
-            bind_vars={'lat': lat, 'lon': lon, 'limit': limit},
-        )
-
-        nodes = []
-        for node in cursor:
-            nodes.append(NodeType(
-                uuid=node['_key'],
-                name=node.get('name'),
-                latitude=node.get('latitude'),
-                longitude=node.get('longitude'),
-                country=node.get('country'),
-                country_code=node.get('country_code'),
-                synced_at=node.get('synced_at'),
-                transport_types=node.get('transport_types') or [],
-                edges=[],
-            ))
-
-        return nodes
-
-    def resolve_node_connections(self, info, uuid, limit_auto=12, limit_rail=12):
-        """Get auto edges from hub and rail edges from nearest rail node."""
-        db = get_db()
-
-        nodes_col = db.collection('nodes')
-        hub = nodes_col.get(uuid)
-        if not hub:
-            return None
-
-        aql = """
-        LET auto_edges = (
-            FOR edge IN edges
-                FILTER edge._from == @from_id AND edge.transport_type == "auto"
-                LET to_node = DOCUMENT(edge._to)
-                FILTER to_node != null
-                SORT edge.distance_km ASC
-                LIMIT @limit_auto
-                RETURN {
-                    to_uuid: to_node._key,
-                    to_name: to_node.name,
-                    to_latitude: to_node.latitude,
-                    to_longitude: to_node.longitude,
-                    distance_km: edge.distance_km,
-                    travel_time_seconds: edge.travel_time_seconds,
-                    transport_type: edge.transport_type
-                }
-        )
-
-        LET hub_has_rail = @hub_has_rail
-
-        LET rail_node = hub_has_rail ? DOCUMENT(@from_id) : FIRST(
-            FOR node IN nodes
-                FILTER node.latitude != null AND node.longitude != null
-                FILTER 'rail' IN node.transport_types
-                SORT DISTANCE(@hub_lat, @hub_lon, node.latitude, node.longitude)
-                LIMIT 1
-                RETURN node
-        )
-
-        LET rail_edges = rail_node == null ? [] : (
-            FOR edge IN edges
-                FILTER edge._from == CONCAT("nodes/", rail_node._key) AND edge.transport_type == "rail"
-                LET to_node = DOCUMENT(edge._to)
-                FILTER to_node != null
-                SORT edge.distance_km ASC
-                LIMIT @limit_rail
-                RETURN {
-                    to_uuid: to_node._key,
-                    to_name: to_node.name,
-                    to_latitude: to_node.latitude,
-                    to_longitude: to_node.longitude,
-                    distance_km: edge.distance_km,
-                    travel_time_seconds: edge.travel_time_seconds,
-                    transport_type: edge.transport_type
-                }
-        )
-
-        RETURN {
-            hub: DOCUMENT(@from_id),
-            rail_node: rail_node,
-            auto_edges: auto_edges,
-            rail_edges: rail_edges
-        }
-        """
-
-        cursor = db.aql.execute(
-            aql,
-            bind_vars={
-                'from_id': f"nodes/{uuid}",
-                'hub_lat': hub.get('latitude'),
-                'hub_lon': hub.get('longitude'),
-                'hub_has_rail': 'rail' in (hub.get('transport_types') or []),
-                'limit_auto': limit_auto,
-                'limit_rail': limit_rail,
-            },
-        )
-        result = next(cursor, None)
-        if not result:
-            return None
-
-        def build_node(doc):
-            if not doc:
-                return None
-            return NodeType(
-                uuid=doc['_key'],
-                name=doc.get('name'),
-                latitude=doc.get('latitude'),
-                longitude=doc.get('longitude'),
-                country=doc.get('country'),
-                country_code=doc.get('country_code'),
-                synced_at=doc.get('synced_at'),
-                transport_types=doc.get('transport_types') or [],
-                edges=[],
-            )
-
-        return NodeConnectionsType(
-            hub=build_node(result.get('hub')),
-            rail_node=build_node(result.get('rail_node')),
-            auto_edges=[EdgeType(**e) for e in result.get('auto_edges') or []],
-            rail_edges=[EdgeType(**e) for e in result.get('rail_edges') or []],
-        )
-
-    def resolve_auto_route(self, info, from_lat, from_lon, to_lat, to_lon):
-        """Get auto route via GraphHopper."""
-        url = f"{settings.GRAPHHOPPER_EXTERNAL_URL}/route"
-        params = {
-            'point': [f"{from_lat},{from_lon}", f"{to_lat},{to_lon}"],
-            'profile': 'car',
-            'instructions': 'false',
-            'calc_points': 'true',
-            'points_encoded': 'false',
-        }
-
-        try:
-            response = requests.get(url, params=params, timeout=30)
-            response.raise_for_status()
-            data = response.json()
-
-            if 'paths' in data and len(data['paths']) > 0:
-                path = data['paths'][0]
-                distance_km = round(path.get('distance', 0) / 1000, 2)
-                points = path.get('points', {})
-                coordinates = points.get('coordinates', [])
-
-                return RouteType(
-                    distance_km=distance_km,
-                    geometry=coordinates,
-                )
-        except requests.RequestException as e:
-            logger.error("GraphHopper request failed: %s", e)
-
-        return None
-
-    def resolve_rail_route(self, info, from_lat, from_lon, to_lat, to_lon):
-        """Get rail route via OpenRailRouting."""
-        url = f"{settings.OPENRAILROUTING_EXTERNAL_URL}/route"
-        params = {
-            'point': [f"{from_lat},{from_lon}", f"{to_lat},{to_lon}"],
-            'profile': 'all_tracks',
-            'calc_points': 'true',
-            'points_encoded': 'false',
-        }
-
-        try:
-            response = requests.get(url, params=params, timeout=60)
-            response.raise_for_status()
-            data = response.json()
-
-            if 'paths' in data and len(data['paths']) > 0:
-                path = data['paths'][0]
-                distance_km = round(path.get('distance', 0) / 1000, 2)
-                points = path.get('points', {})
-                coordinates = points.get('coordinates', [])
-
-                return RouteType(
-                    distance_km=distance_km,
-                    geometry=coordinates,
-                )
-        except requests.RequestException as e:
-            logger.error("OpenRailRouting request failed: %s", e)
-
-        return None
-
-    def resolve_find_routes(self, info, from_uuid, to_uuid, limit=3):
-        """Find K shortest routes through graph using ArangoDB K_SHORTEST_PATHS."""
-        db = get_db()
-        ensure_graph()
-        return Query._build_routes(db, from_uuid, to_uuid, limit)
-
-    def resolve_find_product_routes(self, info, product_uuid, to_uuid, limit_sources=3, limit_routes=3):
-        """
-        Найти до N ближайших офферов и вернуть по одному маршруту:
-        авто -> (rail сколько угодно) -> авто. Поиск идёт от точки назначения наружу.
-        """
-        db = get_db()
-        ensure_graph()  # graph exists, но используем ручной обход
-
-        # Load destination node for distance sorting
-        nodes_col = db.collection('nodes')
-        dest = nodes_col.get(to_uuid)
-        if not dest:
-            logger.info("Destination node %s not found", to_uuid)
-            return []
-
-        dest_lat = dest.get('latitude')
-        dest_lon = dest.get('longitude')
-        if dest_lat is None or dest_lon is None:
-            logger.info("Destination node %s missing coordinates", to_uuid)
-            return []
-
-        max_sources = limit_sources or 5
-        max_routes = 1  # всегда один маршрут на оффер
-
-        # Helpers
-        def allowed_next_phase(current_phase, transport_type):
-            """
-            Phases — расширение радиуса поиска, ЖД не обязателен:
-            - end_auto: можно 1 авто, rail, или сразу offer
-            - end_auto_done: авто использовано — rail или offer
-            - rail: любое кол-во rail, потом 1 авто или offer
-            - start_auto_done: авто использовано — только offer
-
-            Offer можно найти на любом этапе!
-            """
-            if current_phase == 'end_auto':
-                if transport_type == 'offer':
-                    return 'offer'  # нашли сразу рядом
-                if transport_type == 'auto':
-                    return 'end_auto_done'
-                if transport_type == 'rail':
-                    return 'rail'
-                return None
-            if current_phase == 'end_auto_done':
-                if transport_type == 'offer':
-                    return 'offer'  # нашли после 1 авто
-                if transport_type == 'rail':
-                    return 'rail'
-                return None
-            if current_phase == 'rail':
-                if transport_type == 'offer':
-                    return 'offer'  # нашли на ЖД станции
-                if transport_type == 'rail':
-                    return 'rail'
-                if transport_type == 'auto':
-                    return 'start_auto_done'
-                return None
-            if current_phase == 'start_auto_done':
-                if transport_type == 'offer':
-                    return 'offer'
-                return None
-            return None
-
-        def fetch_neighbors(node_key, phase):
-            """Получить соседей с учётом допустимых типов транспорта."""
-            # offer доступен на всех фазах — ищем ближайший
-            if phase == 'end_auto':
-                types = ['auto', 'rail', 'offer']
-            elif phase == 'end_auto_done':
-                types = ['rail', 'offer']
-            elif phase == 'rail':
-                types = ['rail', 'auto', 'offer']
-            elif phase == 'start_auto_done':
-                types = ['offer']
-            else:
-                types = ['offer']
-
-            aql = """
-            FOR edge IN edges
-                FILTER edge.transport_type IN @types
-                FILTER edge._from == @node_id OR edge._to == @node_id
-                LET neighbor_id = edge._from == @node_id ? edge._to : edge._from
-                LET neighbor = DOCUMENT(neighbor_id)
-                FILTER neighbor != null
-                RETURN {
-                    neighbor_key: neighbor._key,
-                    neighbor_doc: neighbor,
-                    from_id: edge._from,
-                    to_id: edge._to,
-                    transport_type: edge.transport_type,
-                    distance_km: edge.distance_km,
-                    travel_time_seconds: edge.travel_time_seconds
-                }
-            """
-            cursor = db.aql.execute(
-                aql,
-                bind_vars={
-                    'node_id': f"nodes/{node_key}",
-                    'types': types,
-                },
-            )
-            return list(cursor)
-
-        # Priority queue: (cost, seq, node_key, phase)
-        queue = []
-        counter = 0
-        heapq.heappush(queue, (0, counter, to_uuid, 'end_auto'))
-
-        visited = {}  # (node, phase) -> best_cost
-        predecessors = {}  # (node, phase) -> (prev_node, prev_phase, edge_info)
-        node_docs = {to_uuid: dest}
-
-        found_routes = []
-        expansions = 0
-
-        while queue and len(found_routes) < max_sources and expansions < Query.MAX_EXPANSIONS:
-            cost, _, node_key, phase = heapq.heappop(queue)
-
-            if (node_key, phase) in visited and cost > visited[(node_key, phase)]:
-                continue
-
-            # Если нашли оффер нужного товара в допустимой фазе, фиксируем маршрут
-            node_doc = node_docs.get(node_key)
-            if node_doc and node_doc.get('product_uuid') == product_uuid:
-                path_edges = []
-                state = (node_key, phase)
-                current_key = node_key
-                while state in predecessors:
-                    prev_state, edge_info = predecessors[state]
-                    prev_key = prev_state[0]
-                    path_edges.append((current_key, prev_key, edge_info))  # from source toward dest
-                    state = prev_state
-                    current_key = prev_key
-
-                route = _build_route_from_edges(path_edges, node_docs)
-                distance_km = None
-                src_lat = node_doc.get('latitude')
-                src_lon = node_doc.get('longitude')
-                if src_lat is not None and src_lon is not None:
-                    distance_km = _distance_km(src_lat, src_lon, dest_lat, dest_lon)
-
-                found_routes.append(ProductRouteOptionType(
-                    source_uuid=node_key,
-                    source_name=node_doc.get('name'),
-                    source_lat=node_doc.get('latitude'),
-                    source_lon=node_doc.get('longitude'),
-                    distance_km=distance_km,
-                    routes=[route] if route else [],
-                ))
-                # продолжаем искать остальных
-                continue
-
-            neighbors = fetch_neighbors(node_key, phase)
-            expansions += 1
-
-            for neighbor in neighbors:
-                transport_type = neighbor.get('transport_type')
-                next_phase = allowed_next_phase(phase, transport_type)
-                if next_phase is None:
-                    continue
-
-                travel_time = neighbor.get('travel_time_seconds')
-                distance_km = neighbor.get('distance_km')
-
-                neighbor_key = neighbor.get('neighbor_key')
-                node_docs[neighbor_key] = neighbor.get('neighbor_doc')
-
-                step_cost = travel_time if travel_time is not None else (distance_km or 0)
-                new_cost = cost + step_cost
-
-                state_key = (neighbor_key, next_phase)
-                if state_key in visited and new_cost >= visited[state_key]:
-                    continue
-
-                visited[state_key] = new_cost
-                counter += 1
-                heapq.heappush(queue, (new_cost, counter, neighbor_key, next_phase))
-                predecessors[state_key] = ((node_key, phase), neighbor)
-
-        if not found_routes:
-            logger.info("No product routes found for %s -> %s", product_uuid, to_uuid)
-            return []
-
-        return found_routes
-
-    def resolve_clustered_nodes(self, info, west, south, east, north, zoom, transport_type=None):
-        """Get clustered nodes for map display using server-side SuperCluster."""
-        db = get_db()
-        clusters = get_clustered_nodes(db, west, south, east, north, zoom, transport_type)
-        return [ClusterPointType(**c) for c in clusters]
-
-
-schema = graphene.Schema(query=Query)
-
-# Helper methods attached to Query for route assembly
-def _build_stage(from_doc, to_doc, transport_type, edges):
-    distance_km = sum(e.get('distance_km') or 0 for e in edges)
-    travel_time = sum(e.get('travel_time_seconds') or 0 for e in edges)
-    return RouteStageType(
-        from_uuid=from_doc.get('_key') if from_doc else None,
-        from_name=from_doc.get('name') if from_doc else None,
-        from_lat=from_doc.get('latitude') if from_doc else None,
-        from_lon=from_doc.get('longitude') if from_doc else None,
-        to_uuid=to_doc.get('_key') if to_doc else None,
-        to_name=to_doc.get('name') if to_doc else None,
-        to_lat=to_doc.get('latitude') if to_doc else None,
-        to_lon=to_doc.get('longitude') if to_doc else None,
-        distance_km=distance_km,
-        travel_time_seconds=travel_time,
-        transport_type=transport_type,
-    )
-
-
-def _build_route_from_edges(path_edges, node_docs):
-    """Собрать RoutePathType из списка ребёр (source->dest), схлопывая типы."""
-    if not path_edges:
-        return None
-
-    # Фильтруем offer edges - это не транспортные этапы, а связь оффера с локацией
-    path_edges = [(f, t, e) for f, t, e in path_edges if e.get('transport_type') != 'offer']
-    if not path_edges:
-        return None
-
-    stages = []
-    current_edges = []
-    current_type = None
-    segment_start = None
-
-    for from_key, to_key, edge in path_edges:
-        edge_type = edge.get('transport_type')
-        if current_type is None:
-            current_type = edge_type
-            current_edges = [edge]
-            segment_start = from_key
-        elif edge_type == current_type:
-            current_edges.append(edge)
-        else:
-            # закрываем предыдущий сегмент
-            stages.append(_build_stage(
-                node_docs.get(segment_start),
-                node_docs.get(from_key),
-                current_type,
-                current_edges,
-            ))
-            current_type = edge_type
-            current_edges = [edge]
-            segment_start = from_key
-
-    # Последний сгусток
-    last_to = path_edges[-1][1]
-    stages.append(_build_stage(
-        node_docs.get(segment_start),
-        node_docs.get(last_to),
-        current_type,
-        current_edges,
-    ))
-
-    total_distance = sum(s.distance_km or 0 for s in stages)
-    total_time = sum(s.travel_time_seconds or 0 for s in stages)
-
-    return RoutePathType(
-        total_distance_km=total_distance,
-        total_time_seconds=total_time,
-        stages=stages,
-    )
-
-
-# Bind helpers to class for access in resolver
-Query._build_route_from_edges = _build_route_from_edges
-
-
-def _distance_km(lat1, lon1, lat2, lon2):
-    """Haversine distance in km."""
-    r = 6371
-    d_lat = math.radians(lat2 - lat1)
-    d_lon = math.radians(lon2 - lon1)
-    a = (
-        math.sin(d_lat / 2) ** 2
-        + math.cos(math.radians(lat1))
-        * math.cos(math.radians(lat2))
-        * math.sin(d_lon / 2) ** 2
-    )
-    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
-    return r * c
-
-
-Query._distance_km = _distance_km

manage.py

@@ -1,17 +0,0 @@
-#!/usr/bin/env python
-"""Django's command-line utility for administrative tasks."""
-import os
-import sys
-
-if __name__ == '__main__':
-    """Run administrative tasks."""
-    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'geo.settings')
-    try:
-        from django.core.management import execute_from_command_line
-    except ImportError as exc:
-        raise ImportError(
-            "Couldn't import Django. Are you sure it's installed and "
-            "available on your PYTHONPATH environment variable? Did you "
-            "forget to activate a virtual environment?"
-        ) from exc
-    execute_from_command_line(sys.argv)

nixpacks.toml

@@ -1,18 +0,0 @@
-providers = ["python"]
-
-[build]
-
-[phases.install]
-cmds = [
-    "python -m venv --copies /opt/venv",
-    ". /opt/venv/bin/activate",
-    "pip install poetry==$NIXPACKS_POETRY_VERSION",
-    "poetry install --no-interaction --no-ansi"
-]
-
-[start]
-cmd = "poetry run python manage.py collectstatic --noinput && poetry run python -m gunicorn geo.wsgi:application --bind 0.0.0.0:${PORT:-8000}"
-
-[variables]
-# Set Poetry version to match local environment
-NIXPACKS_POETRY_VERSION = "2.2.1"

package.json

@@ -0,0 +1,25 @@
+{
+  "name": "geo",
+  "version": "1.0.0",
+  "type": "module",
+  "scripts": {
+    "build": "tsc",
+    "start": "node dist/index.js",
+    "dev": "tsx --watch src/index.ts"
+  },
+  "dependencies": {
+    "@apollo/server": "^4.11.3",
+    "@sentry/node": "^9.5.0",
+    "arangojs": "^9.2.0",
+    "cors": "^2.8.5",
+    "express": "^5.0.1",
+    "h3-js": "^4.2.1"
+  },
+  "devDependencies": {
+    "@types/cors": "^2.8.17",
+    "@types/express": "^5.0.0",
+    "@types/node": "^22.13.0",
+    "tsx": "^4.19.3",
+    "typescript": "^5.7.3"
+  }
+}

pyproject.toml

@@ -1,27 +0,0 @@
-[project]
-name = "geo"
-version = "0.1.0"
-description = "Geo service - logistics graph and routing"
-authors = [
-    {name = "Ruslan Bakiev",email = "572431+veikab@users.noreply.github.com"}
-]
-requires-python = "^3.11"
-dependencies = [
-    "django (>=5.2.8,<6.0)",
-    "graphene-django (>=3.2.3,<4.0.0)",
-    "django-cors-headers (>=4.9.0,<5.0.0)",
-    "python-arango (>=8.0.0,<9.0.0)",
-    "python-dotenv (>=1.2.1,<2.0.0)",
-    "infisicalsdk (>=1.0.12,<2.0.0)",
-    "gunicorn (>=23.0.0,<24.0.0)",
-    "whitenoise (>=6.7.0,<7.0.0)",
-    "sentry-sdk (>=2.47.0,<3.0.0)",
-    "h3 (>=4.0.0,<5.0.0)"
-]
-
-[tool.poetry]
-package-mode = false
-
-[build-system]
-requires = ["poetry-core>=2.0.0,<3.0.0"]
-build-backend = "poetry.core.masonry.api"

scripts/load-secrets.mjs

@@ -0,0 +1,44 @@
+import { InfisicalSDK } from "@infisical/sdk";
+import { writeFileSync } from "fs";
+
+const INFISICAL_API_URL = process.env.INFISICAL_API_URL;
+const INFISICAL_CLIENT_ID = process.env.INFISICAL_CLIENT_ID;
+const INFISICAL_CLIENT_SECRET = process.env.INFISICAL_CLIENT_SECRET;
+const INFISICAL_PROJECT_ID = process.env.INFISICAL_PROJECT_ID;
+const INFISICAL_ENV = process.env.INFISICAL_ENV || "prod";
+const SECRET_PATHS = (process.env.INFISICAL_SECRET_PATHS || "/shared").split(",");
+
+if (!INFISICAL_API_URL || !INFISICAL_CLIENT_ID || !INFISICAL_CLIENT_SECRET || !INFISICAL_PROJECT_ID) {
+  process.stderr.write("Missing required Infisical environment variables\n");
+  process.exit(1);
+}
+
+const client = new InfisicalSDK({ siteUrl: INFISICAL_API_URL });
+
+await client.auth().universalAuth.login({
+  clientId: INFISICAL_CLIENT_ID,
+  clientSecret: INFISICAL_CLIENT_SECRET,
+});
+
+process.stderr.write(`Loading secrets from Infisical (env: ${INFISICAL_ENV})...\n`);
+
+const envLines = [];
+
+for (const secretPath of SECRET_PATHS) {
+  const response = await client.secrets().listSecrets({
+    projectId: INFISICAL_PROJECT_ID,
+    environment: INFISICAL_ENV,
+    secretPath: secretPath.trim(),
+    expandSecretReferences: true,
+  });
+
+  for (const secret of response.secrets) {
+    const escapedValue = secret.secretValue.replace(/'/g, "'\\''");
+    envLines.push(`export ${secret.secretKey}='${escapedValue}'`);
+  }
+
+  process.stderr.write(`  ${secretPath.trim()}: ${response.secrets.length} secrets loaded\n`);
+}
+
+writeFileSync(".env.infisical", envLines.join("\n"));
+process.stderr.write("Secrets written to .env.infisical\n");

scripts/load-vault-env.sh

@@ -0,0 +1,60 @@
+#!/bin/sh
+set -eu
+
+log() {
+  printf '%s\n' "$*" >&2
+}
+
+VAULT_ENABLED="${VAULT_ENABLED:-auto}"
+if [ "$VAULT_ENABLED" = "false" ] || [ "$VAULT_ENABLED" = "0" ]; then
+  exit 0
+fi
+
+if [ -z "${VAULT_ADDR:-}" ] || [ -z "${VAULT_TOKEN:-}" ]; then
+  if [ "$VAULT_ENABLED" = "true" ] || [ "$VAULT_ENABLED" = "1" ]; then
+    log "Vault bootstrap is required but VAULT_ADDR or VAULT_TOKEN is missing."
+    exit 1
+  fi
+  exit 0
+fi
+
+if ! command -v curl >/dev/null 2>&1 || ! command -v jq >/dev/null 2>&1; then
+  log "Vault bootstrap requires curl and jq."
+  exit 1
+fi
+
+VAULT_KV_MOUNT="${VAULT_KV_MOUNT:-secret}"
+
+load_secret_path() {
+  path="$1"
+  source_name="$2"
+  if [ -z "$path" ]; then
+    return 0
+  fi
+
+  url="${VAULT_ADDR%/}/v1/${VAULT_KV_MOUNT}/data/${path}"
+  response="$(curl -fsS -H "X-Vault-Token: $VAULT_TOKEN" "$url")" || {
+    log "Failed to load Vault path ${VAULT_KV_MOUNT}/${path}."
+    return 1
+  }
+
+  encoded_items="$(printf '%s' "$response" | jq -r '.data.data // {} | to_entries[]? | @base64')"
+  if [ -z "$encoded_items" ]; then
+    return 0
+  fi
+
+  old_ifs="${IFS}"
+  IFS='
+'
+  for encoded_item in $encoded_items; do
+    key="$(printf '%s' "$encoded_item" | base64 -d | jq -r '.key')"
+    value="$(printf '%s' "$encoded_item" | base64 -d | jq -r '.value | tostring')"
+    export "$key=$value"
+  done
+  IFS="${old_ifs}"
+
+  log "Loaded Vault ${source_name} secrets from ${VAULT_KV_MOUNT}/${path}."
+}
+
+load_secret_path "${VAULT_SHARED_PATH:-}" "shared"
+load_secret_path "${VAULT_PROJECT_PATH:-}" "project"

src/cluster.ts

@@ -0,0 +1,192 @@
+import { latLngToCell, cellToLatLng } from 'h3-js'
+import { getDb } from './db.js'
+
+const ZOOM_TO_RES: Record<number, number> = {
+  0: 0, 1: 0, 2: 1, 3: 1, 4: 2, 5: 2,
+  6: 3, 7: 3, 8: 4, 9: 4, 10: 5, 11: 5,
+  12: 6, 13: 7, 14: 8, 15: 9, 16: 10,
+}
+
+interface CachedNode {
+  _key: string
+  name?: string
+  latitude?: number
+  longitude?: number
+  country?: string
+  country_code?: string
+  node_type?: string
+  transport_types?: string[]
+}
+
+const nodesCache = new Map<string, CachedNode[]>()
+
+function fetchNodes(transportType?: string | null, nodeType?: string | null): CachedNode[] {
+  const cacheKey = `nodes:${transportType || 'all'}:${nodeType || 'logistics'}`
+  if (nodesCache.has(cacheKey)) return nodesCache.get(cacheKey)!
+
+  const db = getDb()
+  let aql: string
+
+  if (nodeType === 'offer') {
+    aql = `
+      FOR node IN nodes
+        FILTER node.node_type == 'offer'
+        FILTER node.latitude != null AND node.longitude != null
+        RETURN node
+    `
+  } else if (nodeType === 'supplier') {
+    aql = `
+      FOR offer IN nodes
+        FILTER offer.node_type == 'offer'
+        FILTER offer.supplier_uuid != null
+        LET supplier = DOCUMENT(CONCAT('nodes/', offer.supplier_uuid))
+        FILTER supplier != null
+        FILTER supplier.latitude != null AND supplier.longitude != null
+        COLLECT sup_uuid = offer.supplier_uuid INTO offers
+        LET sup = DOCUMENT(CONCAT('nodes/', sup_uuid))
+        RETURN {
+          _key: sup_uuid,
+          name: sup.name,
+          latitude: sup.latitude,
+          longitude: sup.longitude,
+          country: sup.country,
+          country_code: sup.country_code,
+          node_type: 'supplier',
+          offers_count: LENGTH(offers)
+        }
+    `
+  } else {
+    aql = `
+      FOR node IN nodes
+        FILTER node.node_type == 'logistics' OR node.node_type == null
+        FILTER node.latitude != null AND node.longitude != null
+        RETURN node
+    `
+  }
+
+  // arangojs query returns a cursor — we need async. Use a sync cache pattern with pre-fetching.
+  // Since this is called from resolvers which are async, we'll use a different approach.
+  // Store a promise instead.
+  throw new Error('Use fetchNodesAsync instead')
+}
+
+export async function fetchNodesAsync(transportType?: string | null, nodeType?: string | null): Promise<CachedNode[]> {
+  const cacheKey = `nodes:${transportType || 'all'}:${nodeType || 'logistics'}`
+  if (nodesCache.has(cacheKey)) return nodesCache.get(cacheKey)!
+
+  const db = getDb()
+  let aql: string
+
+  if (nodeType === 'offer') {
+    aql = `
+      FOR node IN nodes
+        FILTER node.node_type == 'offer'
+        FILTER node.latitude != null AND node.longitude != null
+        RETURN node
+    `
+  } else if (nodeType === 'supplier') {
+    aql = `
+      FOR offer IN nodes
+        FILTER offer.node_type == 'offer'
+        FILTER offer.supplier_uuid != null
+        LET supplier = DOCUMENT(CONCAT('nodes/', offer.supplier_uuid))
+        FILTER supplier != null
+        FILTER supplier.latitude != null AND supplier.longitude != null
+        COLLECT sup_uuid = offer.supplier_uuid INTO offers
+        LET sup = DOCUMENT(CONCAT('nodes/', sup_uuid))
+        RETURN {
+          _key: sup_uuid,
+          name: sup.name,
+          latitude: sup.latitude,
+          longitude: sup.longitude,
+          country: sup.country,
+          country_code: sup.country_code,
+          node_type: 'supplier',
+          offers_count: LENGTH(offers)
+        }
+    `
+  } else {
+    aql = `
+      FOR node IN nodes
+        FILTER node.node_type == 'logistics' OR node.node_type == null
+        FILTER node.latitude != null AND node.longitude != null
+        RETURN node
+    `
+  }
+
+  const cursor = await db.query(aql)
+  let allNodes: CachedNode[] = await cursor.all()
+
+  if (transportType && (!nodeType || nodeType === 'logistics')) {
+    allNodes = allNodes.filter(n => (n.transport_types || []).includes(transportType))
+  }
+
+  nodesCache.set(cacheKey, allNodes)
+  console.log(`Cached ${allNodes.length} nodes for ${cacheKey}`)
+  return allNodes
+}
+
+export interface ClusterPoint {
+  id: string
+  latitude: number
+  longitude: number
+  count: number
+  expansion_zoom: number | null
+  name: string | null
+}
+
+export async function getClusteredNodes(
+  west: number, south: number, east: number, north: number,
+  zoom: number, transportType?: string | null, nodeType?: string | null,
+): Promise<ClusterPoint[]> {
+  const resolution = ZOOM_TO_RES[Math.floor(zoom)] ?? 5
+  const nodes = await fetchNodesAsync(transportType, nodeType)
+
+  if (!nodes.length) return []
+
+  const cells = new Map<string, CachedNode[]>()
+
+  for (const node of nodes) {
+    const lat = node.latitude
+    const lng = node.longitude
+    if (lat == null || lng == null) continue
+    if (lat < south || lat > north || lng < west || lng > east) continue
+
+    const cell = latLngToCell(lat, lng, resolution)
+    if (!cells.has(cell)) cells.set(cell, [])
+    cells.get(cell)!.push(node)
+  }
+
+  const results: ClusterPoint[] = []
+
+  for (const [cell, nodesInCell] of cells) {
+    if (nodesInCell.length === 1) {
+      const node = nodesInCell[0]
+      results.push({
+        id: node._key,
+        latitude: node.latitude!,
+        longitude: node.longitude!,
+        count: 1,
+        expansion_zoom: null,
+        name: node.name || null,
+      })
+    } else {
+      const [lat, lng] = cellToLatLng(cell)
+      results.push({
+        id: `cluster-${cell}`,
+        latitude: lat,
+        longitude: lng,
+        count: nodesInCell.length,
+        expansion_zoom: Math.min(zoom + 2, 16),
+        name: null,
+      })
+    }
+  }
+
+  return results
+}
+
+export function invalidateCache(): void {
+  nodesCache.clear()
+  console.log('Cluster cache invalidated')
+}

src/db.ts

@@ -0,0 +1,27 @@
+import { Database } from 'arangojs'
+
+const ARANGODB_URL = process.env.ARANGODB_URL || process.env.ARANGODB_INTERNAL_URL || 'http://localhost:8529'
+const ARANGODB_DATABASE = process.env.ARANGODB_DATABASE || 'optovia_maps'
+const ARANGODB_PASSWORD = process.env.ARANGODB_PASSWORD || ''
+
+let _db: Database | null = null
+
+export function getDb(): Database {
+  if (!_db) {
+    const url = ARANGODB_URL.startsWith('http') ? ARANGODB_URL : `http://${ARANGODB_URL}`
+    _db = new Database({ url, databaseName: ARANGODB_DATABASE, auth: { username: 'root', password: ARANGODB_PASSWORD } })
+    console.log(`Connected to ArangoDB: ${url}/${ARANGODB_DATABASE}`)
+  }
+  return _db
+}
+
+export async function ensureGraph(): Promise<void> {
+  const db = getDb()
+  const graphs = await db.listGraphs()
+  if (graphs.some(g => g.name === 'optovia_graph')) return
+
+  console.log('Creating graph: optovia_graph')
+  await db.createGraph('optovia_graph', [
+    { collection: 'edges', from: ['nodes'], to: ['nodes'] },
+  ])
+}

src/helpers.ts

@@ -0,0 +1,90 @@
+/** Haversine distance in km. */
+export function distanceKm(lat1: number, lon1: number, lat2: number, lon2: number): number {
+  const R = 6371
+  const dLat = (lat2 - lat1) * Math.PI / 180
+  const dLon = (lon2 - lon1) * Math.PI / 180
+  const a =
+    Math.sin(dLat / 2) ** 2 +
+    Math.cos(lat1 * Math.PI / 180) * Math.cos(lat2 * Math.PI / 180) *
+    Math.sin(dLon / 2) ** 2
+  return R * 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a))
+}
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+export type ArangoDoc = Record<string, any>
+
+export interface RouteStage {
+  from_uuid: string | null
+  from_name: string | null
+  from_lat: number | null
+  from_lon: number | null
+  to_uuid: string | null
+  to_name: string | null
+  to_lat: number | null
+  to_lon: number | null
+  distance_km: number
+  travel_time_seconds: number
+  transport_type: string | null
+}
+
+export interface RoutePath {
+  total_distance_km: number
+  total_time_seconds: number
+  stages: RouteStage[]
+}
+
+function buildStage(fromDoc: ArangoDoc | undefined, toDoc: ArangoDoc | undefined, transportType: string, edges: ArangoDoc[]): RouteStage {
+  const distance = edges.reduce((s, e) => s + (e.distance_km || 0), 0)
+  const time = edges.reduce((s, e) => s + (e.travel_time_seconds || 0), 0)
+  return {
+    from_uuid: fromDoc?._key ?? null,
+    from_name: fromDoc?.name ?? null,
+    from_lat: fromDoc?.latitude ?? null,
+    from_lon: fromDoc?.longitude ?? null,
+    to_uuid: toDoc?._key ?? null,
+    to_name: toDoc?.name ?? null,
+    to_lat: toDoc?.latitude ?? null,
+    to_lon: toDoc?.longitude ?? null,
+    distance_km: distance,
+    travel_time_seconds: time,
+    transport_type: transportType,
+  }
+}
+
+export function buildRouteFromEdges(pathEdges: [string, string, ArangoDoc][], nodeDocs: Map<string, ArangoDoc>): RoutePath | null {
+  if (!pathEdges.length) return null
+
+  // Filter offer edges — not transport stages
+  const filtered = pathEdges.filter(([, , e]) => e.transport_type !== 'offer')
+  if (!filtered.length) return null
+
+  const stages: RouteStage[] = []
+  let currentEdges: ArangoDoc[] = []
+  let currentType: string | null = null
+  let segmentStart: string | null = null
+
+  for (const [fromKey, , edge] of filtered) {
+    const edgeType = edge.transport_type as string
+    if (currentType === null) {
+      currentType = edgeType
+      currentEdges = [edge]
+      segmentStart = fromKey
+    } else if (edgeType === currentType) {
+      currentEdges.push(edge)
+    } else {
+      stages.push(buildStage(nodeDocs.get(segmentStart!), nodeDocs.get(fromKey), currentType, currentEdges))
+      currentType = edgeType
+      currentEdges = [edge]
+      segmentStart = fromKey
+    }
+  }
+
+  const lastTo = filtered[filtered.length - 1][1]
+  stages.push(buildStage(nodeDocs.get(segmentStart!), nodeDocs.get(lastTo), currentType!, currentEdges))
+
+  return {
+    total_distance_km: stages.reduce((s, st) => s + (st.distance_km || 0), 0),
+    total_time_seconds: stages.reduce((s, st) => s + (st.travel_time_seconds || 0), 0),
+    stages,
+  }
+}

src/index.ts

@@ -0,0 +1,33 @@
+import express from 'express'
+import cors from 'cors'
+import { ApolloServer } from '@apollo/server'
+import { expressMiddleware } from '@apollo/server/express4'
+import * as Sentry from '@sentry/node'
+import { typeDefs, resolvers } from './schema.js'
+
+const PORT = parseInt(process.env.PORT || '8000', 10)
+const SENTRY_DSN = process.env.SENTRY_DSN || ''
+
+if (SENTRY_DSN) {
+  Sentry.init({
+    dsn: SENTRY_DSN,
+    tracesSampleRate: 0.01,
+    release: process.env.RELEASE_VERSION || '1.0.0',
+    environment: process.env.ENVIRONMENT || 'production',
+  })
+}
+
+const app = express()
+app.use(cors({ origin: ['https://optovia.ru'], credentials: true }))
+
+const server = new ApolloServer({ typeDefs, resolvers, introspection: true })
+await server.start()
+
+app.use('/graphql/public', express.json(), expressMiddleware(server) as unknown as express.RequestHandler)
+
+app.get('/health', (_, res) => { res.json({ status: 'ok' }) })
+
+app.listen(PORT, '0.0.0.0', () => {
+  console.log(`Geo server ready on port ${PORT}`)
+  console.log(`  /graphql/public  - public (no auth)`)
+})

tsconfig.json

@@ -0,0 +1,19 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "NodeNext",
+    "moduleResolution": "NodeNext",
+    "outDir": "dist",
+    "rootDir": "src",
+    "strict": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "forceConsistentCasingInFileNames": true,
+    "resolveJsonModule": true,
+    "declaration": true,
+    "declarationMap": true,
+    "sourceMap": true
+  },
+  "include": ["src"],
+  "exclude": ["node_modules", "dist"]
+}