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5f040426a2
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e15976382e | ||
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5d5e0fa4b5 |
@@ -96,11 +96,26 @@ class Query(graphene.ObjectType):
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limit=graphene.Int(),
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offset=graphene.Int(),
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transport_type=graphene.String(),
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country=graphene.String(description="Filter by country name"),
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search=graphene.String(description="Search by node name (case-insensitive)"),
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)
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nodes_count = graphene.Int(
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transport_type=graphene.String(),
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description="Get total count of nodes (with optional transport filter)",
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country=graphene.String(description="Filter by country name"),
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description="Get total count of nodes (with optional transport/country filter)",
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)
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hub_countries = graphene.List(
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graphene.String,
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description="List of countries that have logistics hubs",
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)
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nearest_nodes = graphene.List(
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NodeType,
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lat=graphene.Float(required=True, description="Latitude"),
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lon=graphene.Float(required=True, description="Longitude"),
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limit=graphene.Int(default_value=5, description="Max results"),
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description="Find nearest logistics nodes to given coordinates",
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)
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node_connections = graphene.Field(
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@@ -264,7 +279,7 @@ class Query(graphene.ObjectType):
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edges=[EdgeType(**e) for e in edges],
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)
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def resolve_nodes(self, info, limit=None, offset=None, transport_type=None, search=None):
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def resolve_nodes(self, info, limit=None, offset=None, transport_type=None, country=None, search=None):
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"""Get all logistics nodes (without edges for list view)."""
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db = get_db()
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@@ -274,6 +289,7 @@ class Query(graphene.ObjectType):
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FILTER node.node_type == 'logistics' OR node.node_type == null
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LET types = node.transport_types != null ? node.transport_types : []
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FILTER @transport_type == null OR @transport_type IN types
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FILTER @country == null OR node.country == @country
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FILTER @search == null OR CONTAINS(LOWER(node.name), LOWER(@search)) OR CONTAINS(LOWER(node.country), LOWER(@search))
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SORT node.name ASC
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LIMIT @offset, @limit
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@@ -283,6 +299,7 @@ class Query(graphene.ObjectType):
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aql,
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bind_vars={
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'transport_type': transport_type,
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'country': country,
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'search': search,
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'offset': 0 if offset is None else offset,
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'limit': 1000000 if limit is None else limit,
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@@ -306,19 +323,69 @@ class Query(graphene.ObjectType):
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logger.info("Returning %d nodes", len(nodes))
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return nodes
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def resolve_nodes_count(self, info, transport_type=None):
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def resolve_nodes_count(self, info, transport_type=None, country=None):
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db = get_db()
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aql = """
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FOR node IN nodes
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FILTER node.node_type == 'logistics' OR node.node_type == null
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LET types = node.transport_types != null ? node.transport_types : []
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FILTER @transport_type == null OR @transport_type IN types
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FILTER @country == null OR node.country == @country
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COLLECT WITH COUNT INTO length
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RETURN length
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"""
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cursor = db.aql.execute(aql, bind_vars={'transport_type': transport_type})
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cursor = db.aql.execute(aql, bind_vars={'transport_type': transport_type, 'country': country})
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return next(cursor, 0)
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def resolve_hub_countries(self, info):
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"""Get unique country names from logistics hubs."""
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db = get_db()
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aql = """
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FOR node IN nodes
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FILTER node.node_type == 'logistics' OR node.node_type == null
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FILTER node.country != null
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COLLECT country = node.country
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SORT country ASC
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RETURN country
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"""
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cursor = db.aql.execute(aql)
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return list(cursor)
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def resolve_nearest_nodes(self, info, lat, lon, limit=5):
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"""Find nearest logistics nodes to given coordinates."""
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db = get_db()
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# Get all logistics nodes and calculate distance
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aql = """
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FOR node IN nodes
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FILTER node.node_type == 'logistics' OR node.node_type == null
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FILTER node.latitude != null AND node.longitude != null
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LET dist = DISTANCE(node.latitude, node.longitude, @lat, @lon) / 1000
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SORT dist ASC
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LIMIT @limit
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RETURN MERGE(node, {distance_km: dist})
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"""
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cursor = db.aql.execute(
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aql,
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bind_vars={'lat': lat, 'lon': lon, 'limit': limit},
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)
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nodes = []
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for node in cursor:
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nodes.append(NodeType(
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uuid=node['_key'],
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name=node.get('name'),
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latitude=node.get('latitude'),
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longitude=node.get('longitude'),
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country=node.get('country'),
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country_code=node.get('country_code'),
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synced_at=node.get('synced_at'),
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transport_types=node.get('transport_types') or [],
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edges=[],
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))
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return nodes
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def resolve_node_connections(self, info, uuid, limit_auto=12, limit_rail=12):
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"""Get auto edges from hub and rail edges from nearest rail node."""
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db = get_db()
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