减少爆管定位代码中引入的不确定性

This commit is contained in:
2026-03-09 11:29:57 +08:00
parent d55e23bc44
commit f9111ab9c1
5 changed files with 145 additions and 31 deletions
@@ -20,6 +20,17 @@ def _to_metis_edge_weight(edge_weight):
return max(1, int(round(weight)))
def _dedupe_preserve_order(items):
seen = set()
output = []
for item in items:
if item in seen:
continue
seen.add(item)
output.append(item)
return output
def pick_center_pipe(node_x, node_y, candidate_pipe, pipe_start_node, pipe_end_node):
candidate_pipe_list = list(candidate_pipe)
start_nodes = pipe_start_node[candidate_pipe_list]
@@ -34,14 +45,52 @@ def pick_center_pipe(node_x, node_y, candidate_pipe, pipe_start_node, pipe_end_n
return candidate_pipe_list[center_idx]
def pick_max_diameter_pipe(candidate_pipe, pipe_diameter):
candidate_pipe_list = list(candidate_pipe)
diameters = pd.to_numeric(
pipe_diameter.reindex(candidate_pipe_list), errors="coerce"
).dropna()
if len(diameters) != len(candidate_pipe_list):
missing = sorted(set(candidate_pipe_list) - set(diameters.index))
preview = ", ".join(map(str, missing[:10]))
raise ValueError(f"Missing or invalid diameter for pipes: {preview}")
max_diameter = float(diameters.max())
max_diameter_pipes = sorted(
[pipe for pipe, diameter in diameters.items() if float(diameter) == max_diameter],
key=str,
)
return max_diameter_pipes[0]
def pick_dual_center_pipes(
node_x, node_y, candidate_pipe, pipe_start_node, pipe_end_node, pipe_diameter
):
geometric_center = pick_center_pipe(
node_x, node_y, candidate_pipe, pipe_start_node, pipe_end_node
)
diameter_center = pick_max_diameter_pipe(candidate_pipe, pipe_diameter)
return _dedupe_preserve_order([geometric_center, diameter_center])
def find_new_center_pipe(
node_x, node_y, candidate_pipe, pipe_start_node, pipe_end_node, record_center
node_x,
node_y,
candidate_pipe,
pipe_start_node,
pipe_end_node,
pipe_diameter,
record_center,
):
new_candidate_pipe = sorted(set(candidate_pipe) - set(record_center))
if new_candidate_pipe == []:
new_candidate_pipe = candidate_pipe
center_t = pick_center_pipe(
node_x, node_y, new_candidate_pipe, pipe_start_node, pipe_end_node
node_x,
node_y,
new_candidate_pipe,
pipe_start_node,
pipe_end_node,
)
return center_t
@@ -66,6 +115,7 @@ def metis_grouping_pipe_weight(
node_pipe_dic,
all_node_series,
couple_node_length,
pipe_diameter,
):
all_node_iter_series_new = all_node_series[all_node_iter]
all_node_iter_series_new = all_node_iter_series_new.sort_values(ascending=True)
@@ -82,10 +132,12 @@ def metis_grouping_pipe_weight(
correspond_dic = {}
count_node = 0
w = []
for node_name, neighbors in G1.adjacency():
for node_name in all_node_iter_new:
neighbors = G1[node_name]
w_temp = []
n_t = [node_dict[node_name]]
for neighbor_name, edge_data in neighbors.items():
for neighbor_name in sorted(neighbors.keys()):
edge_data = neighbors[neighbor_name]
edge_key = f"{node_name},{neighbor_name}"
reverse_edge_key = f"{neighbor_name},{node_name}"
if edge_key in couple_node_length:
@@ -122,14 +174,14 @@ def metis_grouping_pipe_weight(
w_f = w_f + w_new[i]
# (edgecuts, parts) = pymetis.part_graph(nparts=group_num, adjacency=adjacency_list_new)
# metis_options = pymetis.Options()
# metis_options.seed = 42
metis_options = pymetis.Options()
metis_options.seed = 42
(edgecuts, parts) = pymetis.part_graph(
nparts=group_num,
adjncy=final_adjacency_list,
xadj=xadj,
eweights=w_f,
# options=metis_options,
options=metis_options,
)
# (edgecuts, parts) = pymetis.part_graph(nparts=group_num, adjacency=adjacency_list_new)
candidate_group_list = [[] * 1 for i in range(group_num)]
@@ -145,6 +197,7 @@ def metis_grouping_pipe_weight(
new_center = []
new_group = []
new_center_candidates = []
new_all_node = []
candidate_pipe_set = set(candidate_pipe_input)
all_grouped_pipe = []
@@ -158,7 +211,7 @@ def metis_grouping_pipe_weight(
# 求交集
nodeset = G_sub.nodes()
pipeset_set = set(cal_area_node_linked_pipe(nodeset, node_pipe_dic))
candidate_pipe = list(pipeset_set.intersection(candidate_pipe_set))
candidate_pipe = sorted(pipeset_set.intersection(candidate_pipe_set))
# 判断集合是否保留
if len(candidate_pipe) > 0:
@@ -170,21 +223,30 @@ def metis_grouping_pipe_weight(
pipe_start_node_all,
pipe_end_node_all,
)
center_candidates_t = pick_dual_center_pipes(
node_x,
node_y,
candidate_pipe,
pipe_start_node_all,
pipe_end_node_all,
pipe_diameter,
)
# 更新
new_center.append(center_t)
new_center_candidates.append(center_candidates_t)
new_group.append(candidate_pipe)
new_all_node.append(nodeset)
all_grouped_pipe = all_grouped_pipe + candidate_pipe
else:
for c in sub_graphs:
for c in sorted(sub_graphs, key=lambda c: min(c)):
G_temp = G0.subgraph(c)
nodeset = G_temp.nodes()
pipeset = cal_area_node_linked_pipe(nodeset, node_pipe_dic)
pipeset_set = set(pipeset)
# 求交集
candidate_pipe = list(pipeset_set.intersection(candidate_pipe_set))
candidate_pipe = sorted(pipeset_set.intersection(candidate_pipe_set))
# print(len(candidate_node))
# 判断集合是否保留
if len(candidate_pipe) > 0:
@@ -196,8 +258,17 @@ def metis_grouping_pipe_weight(
pipe_start_node_all,
pipe_end_node_all,
)
center_candidates_t = pick_dual_center_pipes(
node_x,
node_y,
candidate_pipe,
pipe_start_node_all,
pipe_end_node_all,
pipe_diameter,
)
# 更新
new_center.append(center_t)
new_center_candidates.append(center_candidates_t)
new_group.append(candidate_pipe)
new_all_node.append(nodeset)
all_grouped_pipe = all_grouped_pipe + candidate_pipe
@@ -217,8 +288,12 @@ def metis_grouping_pipe_weight(
each_group,
pipe_start_node_all,
pipe_end_node_all,
pipe_diameter,
record_center,
)
new_center_candidates[c_g] = _dedupe_preserve_order(
[new_center[c_g]] + list(new_center_candidates[c_g])
)
record_center.append(new_center[c_g])
c_g += 1
@@ -227,7 +302,7 @@ def metis_grouping_pipe_weight(
# node_x, node_y,
# pipe_start_node_all, pipe_end_node_all
# )
return new_center, new_group, new_all_node
return new_center, new_group, new_all_node, new_center_candidates
def visualize_metis_partition(