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next-tjwater-server/app/algorithms/valve_isolation/topology_search.py
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feat: extend operational investigation workflows
2026-10-30 17:30:19 +08:00

143 lines
5.6 KiB
Python

"""Topology-only valve isolation search."""
from collections import defaultdict, deque
from typing import Any, Iterable, Literal
VALVE_LINK_TYPE = "valve"
AccidentElementType = Literal["auto", "link", "node"]
def _parse_link_entry(link_entry: str) -> tuple[str, str, str, str]:
parts = link_entry.split(":", 3)
if len(parts) != 4:
raise ValueError(f"Invalid link entry format: {link_entry}")
return parts[0], parts[1], parts[2], parts[3]
def _reachable_nodes(
adjacency: dict[str, list[tuple[str, str]]],
start_nodes: Iterable[str],
blocked_links: set[str],
) -> set[str]:
visited = set(start_nodes)
queue = deque(visited)
while queue:
for neighbor, link_id in adjacency.get(queue.popleft(), ()):
if link_id not in blocked_links and neighbor not in visited:
visited.add(neighbor)
queue.append(neighbor)
return visited
def valve_isolation_analysis(
link_entries: Iterable[str],
accident_elements: str | list[str],
disabled_valves: list[str] | None = None,
*,
accident_element_type: AccidentElementType = "auto",
water_source_nodes: Iterable[str] | None = None,
closed_links: Iterable[str] = (),
) -> dict[str, Any]:
"""Find nearest valve boundaries, then check source connectivity.
Legacy untyped IDs prefer links; explicit node mode handles cross-type ID
collisions. Supply impact is a before/after connectivity difference, not
a hydraulic pressure or demand calculation. Without source metadata only
the provisional boundary search is available.
"""
disabled_valves_set = set(disabled_valves or [])
target_elements = (
[accident_elements]
if isinstance(accident_elements, str)
else accident_elements
)
if not target_elements:
raise ValueError("At least one accident element is required")
if accident_element_type not in {"auto", "link", "node"}:
raise ValueError(f"Invalid accident element type: {accident_element_type}")
closed_links_set = set(closed_links)
adjacency: dict[str, list[tuple[str, str]]] = defaultdict(list)
all_valves: dict[str, tuple[str, str]] = {}
link_lookup: dict[str, tuple[str, str, str]] = {}
node_set: set[str] = set()
for link_entry in link_entries:
link_id, link_type, node1, node2 = _parse_link_entry(link_entry)
link_type_name = str(link_type).lower()
link_lookup[link_id] = (node1, node2, link_type_name)
node_set.update((node1, node2))
if link_type_name == VALVE_LINK_TYPE:
all_valves[link_id] = (node1, node2)
if link_id not in closed_links_set:
adjacency[node1].append((node2, link_id))
adjacency[node2].append((node1, link_id))
unknown_disabled = disabled_valves_set - all_valves.keys()
if unknown_disabled:
raise ValueError(f"Disabled valve was not found in topology: {sorted(unknown_disabled)}")
start_nodes: set[str] = set()
for element in target_elements:
if accident_element_type != "node" and element in link_lookup:
node1, node2, _ = link_lookup[element]
start_nodes.update((node1, node2))
elif accident_element_type != "link" and element in node_set:
start_nodes.add(element)
else:
raise ValueError(f"Accident element {element} was not found in topology")
closable_valves = set(all_valves) - disabled_valves_set - closed_links_set
affected_nodes = _reachable_nodes(adjacency, start_nodes, closable_valves)
must_close_valves: list[str] = []
optional_valves: list[str] = []
for valve_id in closable_valves:
node1, node2 = all_valves[valve_id]
node1_affected = node1 in affected_nodes
node2_affected = node2 in affected_nodes
if node1_affected and node2_affected:
optional_valves.append(valve_id)
elif node1_affected or node2_affected:
must_close_valves.append(valve_id)
must_close_valves.sort()
optional_valves.sort()
isolatable = bool(must_close_valves)
failure_reason = None if isolatable else "no_boundary_valves"
sources = set(water_source_nodes or ())
source_check_performed = bool(sources)
supply_affected_nodes = None
if water_source_nodes is not None:
if not sources:
isolatable = False
failure_reason = "water_sources_unavailable"
else:
after_closure = _reachable_nodes(adjacency, sources, set(must_close_valves))
if affected_nodes & after_closure:
isolatable = False
failure_reason = "connected_to_water_source"
if isolatable:
before_closure = _reachable_nodes(adjacency, sources, set())
supply_affected_nodes = sorted(before_closure - after_closure)
result: dict[str, Any] = {
"accident_elements": target_elements,
"accident_element_type": accident_element_type,
"disabled_valves": disabled_valves,
"affected_nodes": sorted(affected_nodes) if isolatable else [],
"affected_node_count": len(affected_nodes),
"must_close_valves": must_close_valves,
"optional_valves": optional_valves,
"isolatable": isolatable,
"source_check_performed": source_check_performed,
"isolation_failure_reason": failure_reason,
"supply_affected_nodes": supply_affected_nodes,
"supply_affected_node_count": (
len(supply_affected_nodes) if supply_affected_nodes is not None else None
),
}
if len(target_elements) == 1:
result["accident_element"] = target_elements[0]
return result