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main.py
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'''
功能：地质层位建模
输入：层位、断层解释数据文件
输出：层位模型obj文件
'''
from DataManage import DataManage
from DrawData import DrawDataManage
from Catalog import Catalog
from Vertex import Vertex
import Utils as utils
import numpy as np
import matplotlib.pyplot as plt
import copy
# import matplotlib
# matplotlib.use("Agg")
# 水平向右相连
def linkR(p1, p2):
Vertexs[p1].setBranchRight(p2)
Vertexs[p2].setBranchLeft(p1)
# 垂直向上相连
def linkT(p1, p2):
Vertexs[p1].setBranchTop(p2)
Vertexs[p2].setBranchBottom(p1)
# 顶点向量转字符串
def p2str(arr):
p = [str((arr[0] )), str((arr[1])), str((arr[2]))]
p_str = ''.join(p)
return p_str
# 比较两个顶点是否相等
def comparePoint(p1, p2):
if(p1[0] == p2[0] and p1[1] == p2[1] and p1[2] == p2[2]):
return True
return False
# 求平均
def getMean(arr):
sum = 0
for i in range(len(arr)):
sum = sum + arr[i]
return sum / len(arr)
# 求中位数
def getMid(arr):
l = len(arr)
return arr[int(l / 2)]
def setGridZ(h, cross_pairs):
for i in range(len(cross_pairs)):
if(cross_pairs[i] == []):
continue
cross = cross_pairs[i]
divideGridZ(h, cross)
for i in range(len(h)):
for j in range(len(h[i])):
h_v = h[i][j]
h_p = h_v.getPosition()
for m in range(len(h_p[2])):
if(len(h_p[2][m]) == 0):
h_p[2][m] = m * 0.000000001
else:
mean = getMid(h_p[2][m])
h_p[2][m] = mean
def divideGridZ(h, cross):
k = 0
for i in range(len(h)):
if(k >= len(cross[0])):
continue
r1 = int(h[i][0].getPosition()[1] * 10000)
r2 = int(cross[0][k][1] * 10000)
t_p = cross[0][k]
b_p = cross[1][k]
l_p = []
r_p = []
if(t_p[0] < b_p[0]):
l_p = t_p
r_p = b_p
else:
l_p = b_p
r_p = t_p
if(r1 == r2):
k = k + 1
else:
continue
for j in range(len(h[i])):
h_v = h[i][j]
h_p = h_v.getPosition()
r1 = h_p[0]
r2 = l_p[0]
r3 = r_p[0]
if(r1 > r2 and r1 < r3):
mid_z = (l_p[2] + r_p[2]) / 2
l = len(h_p[2])
if(len(h_p[2][0]) == 0):
h_p[2].append([])
for m in range(l):
temp = []
temp2 = []
for n in range(len(h_p[2][m])):
if(h_p[2][m][n] < mid_z):
temp.append(h_p[2][m][n])
else:
temp2.append(h_p[2][m][n])
if(len(temp) != 0 and len(temp2) != 0):
h_p[2][m] = temp
h_p[2].append(temp2)
elif(len(temp) == 0 and len(temp2) != 0):
h_p[2][m] = temp2
elif(len(temp) != 0 and len(temp2) == 0):
h_p[2][m] = temp
if __name__ == '__main__':
# 平滑次数
smooth_times = 30
catalog = Catalog()
'''
数据加载
'''
for q in range(0, 5):
############################# 数据预处理 ###########################
dataManage = DataManage()
drawDataManage = DrawDataManage()
dataManage.loadLayersData([catalog.layers[q]])
dataManage.loadFaultsData(catalog.faults)
dataManage.loadCrossPointsData(catalog.types[q], catalog.layers[q], catalog.faults)
newLayer = []
newf = []
TYPES = catalog.types[q]
layersData = dataManage.getLayersData()
faultsData = dataManage.getFaultsData()
for i in range(len(layersData[0])):
if(layersData[0][i][0] >= 275):
newLayer.append(layersData[0][i])
layersData = [newLayer]
newf = []
for i in range(len(faultsData)):
temp = []
for j in range(len(faultsData[i])):
if(faultsData[i][j][0] >= 275):
temp.append(faultsData[i][j])
newf.append(temp)
faultsData = newf
crossPointsData = dataManage.getCrossPointsData()
# 交线首尾封闭
for i in range(int(len(crossPointsData) / 2)):
if(TYPES[i] <= 0):
continue
if(crossPointsData[i * 2][0][1] > 176 and not((q == 5 and i == 10) or (q == 0 and i == 10) or (q == 1 and i == 10))):
x = (crossPointsData[i * 2][0][0] + crossPointsData[i * 2 + 1][0][0]) / 2
z = (crossPointsData[i * 2][0][2] + crossPointsData[i * 2 + 1][0][2]) / 2
add_p = [x, crossPointsData[i * 2][0][1] - 16, z]
crossPointsData[i * 2].insert(0, add_p)
crossPointsData[i * 2 + 1].insert(0, add_p)
if(crossPointsData[i * 2][-1][1] < 1232):
x = (crossPointsData[i * 2][-1][0] + crossPointsData[i * 2 + 1][-1][0]) / 2
z = (crossPointsData[i * 2][-1][2] + crossPointsData[i * 2 + 1][-1][2]) / 2
add_p = [x, crossPointsData[i * 2][-1][1] + 16, z]
crossPointsData[i * 2].append(add_p)
crossPointsData[i * 2 + 1].append(add_p)
layersLen = len(layersData)
faultsLen = len(faultsData)
crossPointsLen = len(crossPointsData)
blocksData = layersData + faultsData + crossPointsData
# 工区边界
minX = drawDataManage.getMinX()
maxX = drawDataManage.getMaxX()
minY = drawDataManage.getMinY()
maxY = drawDataManage.getMaxY()
minZ = drawDataManage.getMinZ()
maxZ = drawDataManage.getMaxZ()
for i in range(len(blocksData)):
if(blocksData[i] == []):
continue
npBlocks = np.array(blocksData[i])
npBlocks_T = npBlocks.T
x11 = npBlocks_T[0]
y11 = npBlocks_T[1]
z11 = npBlocks_T[2]
if(minX > np.min(x11)):
minX = np.min(x11)
if(maxX < np.max(x11)):
maxX = np.max(x11)
if(minY > np.min(y11)):
minY = np.min(y11)
if(maxY < np.max(y11)):
maxY = np.max(y11)
if(minZ > np.min(z11)):
minZ = np.min(z11)
if(maxZ < np.max(z11)):
maxZ = np.max(z11)
drawDataManage.setMinX(minX)
drawDataManage.setMaxX(maxX)
drawDataManage.setMinY(minY)
drawDataManage.setMaxY(maxY)
drawDataManage.setMinZ(minZ)
drawDataManage.setMaxZ(maxZ)
# 归一化
norm_blockData = []
for i in range(len(blocksData)):
if(blocksData[i] == []):
norm_blockData.append([])
continue
npBlocks = np.array(blocksData[i])
npBlocks_T = npBlocks.T
x11 = npBlocks_T[0]
y11 = npBlocks_T[1]
z11 = npBlocks_T[2]
x11 = utils.normalize(x11, minX, maxX)
y11 = utils.normalize(y11, minY, maxY)
z11 = utils.normalize(z11, minZ, maxZ)
norm_blockData.append([x11, y11, z11])
drawDataManage.setBlockData(norm_blockData)
norm_layers = []
norm_faults = []
norm_crossPoints = []
for i in range(len(norm_blockData)):
if(i < layersLen):
norm_layers.append(norm_blockData[i])
if(i >= layersLen and i < layersLen + faultsLen):
norm_faults.append(norm_blockData[i])
if(i >= layersLen + faultsLen):
norm_crossPoints.append(norm_blockData[i])
drawDataManage.setLayersData(norm_layers)
drawDataManage.setFaultsData(norm_faults)
drawDataManage.setCrossPointsData(norm_crossPoints)
############################# 数据准备完成 ###########################
# 三分量
sample_faults = drawDataManage.getFaultsData()
sample_layers = drawDataManage.getLayersData()
sample_crossPoints = drawDataManage.getCrossPointsData()
sample_crossPoints_len = len(sample_crossPoints)
sample_crossPoints_pairs = []
# 一个断层对一个层位有两条交线
pair = []
for i in range(sample_crossPoints_len):
pair.append(sample_crossPoints[i])
if((i % 2) == 1):
sample_crossPoints_pairs.append(pair)
pair = []
############################# 层位处理 ###############################
sample_layer = sample_layers[0] # 三分量
sample_layer_position = np.array(sample_layer).T
sample_layer_trace = utils.dataToTraceData(sample_layer_position)
sample_layer_len = len(sample_layer_position)
# 网格
beishu = 2
x_grid_size = 50 * beishu
y_grid_size = 66 * beishu
grid_x = np.linspace(0, 1, x_grid_size + 1)
grid_y = np.linspace(0, 1, y_grid_size + 1)
crossPoints_grid_pairs = []
# 交线按照网格采样
for i in range(len(sample_crossPoints_pairs)):
if(TYPES[i] == 0):
crossPoints_grid_pairs.append([])
continue
sample_crossPoints_pair = sample_crossPoints_pairs[i]
top = sample_crossPoints_pair[0]
bottom = sample_crossPoints_pair[1]
crossPoints_top_grid = []
crossPoints_bottom_grid = []
for j in range(len(top[0]) - 1):
for k in range(beishu):
crossPoints_top_grid.append([top[0][j] + (top[0][j + 1] - top[0][j]) / beishu * k, top[1][j] + (top[1][j + 1] - top[1][j]) / beishu * k, top[2][j] + (top[2][j + 1] - top[2][j]) / beishu * k])
crossPoints_bottom_grid.append([bottom[0][j] + (bottom[0][j + 1] - bottom[0][j]) / beishu * k, bottom[1][j] + (bottom[1][j + 1] - bottom[1][j]) / beishu * k, bottom[2][j] + (bottom[2][j + 1] - bottom[2][j]) / beishu * k])
crossPoints_top_grid.append([top[0][j + 1], top[1][j + 1], top[2][j + 1]])
crossPoints_bottom_grid.append([bottom[0][j + 1], bottom[1][j + 1], bottom[2][j + 1]])
crossPoints_grid_pairs.append([crossPoints_top_grid, crossPoints_bottom_grid])
# 网格拓扑构建
grid_vertices = []
grid_vertices_grid = []
v_index = -1
# 初始化网格
for i in range(len(grid_y)):
grid_vertices_temp = []
for j in range(len(grid_x)):
v_index = v_index + 1
v = Vertex()
v.setIndex(v_index)
v.setPosition([grid_x[j], grid_y[i] , [[]]])
v.setType(0)
if(j - 1 < 0):
v.setBranchLeft(-1)
else:
v.setBranchLeft(v_index - 1)
if(j + 1 > len(grid_x) - 1):
v.setBranchRight(-1)
else:
v.setBranchRight(v_index + 1)
if(i - 1 < 0):
v.setBranchBottom(-1)
else:
v.setBranchBottom(v_index - len(grid_x))
if(i + 1 > len(grid_y) - 1):
v.setBranchTop(-1)
else:
v.setBranchTop(v_index + len(grid_x))
grid_vertices.append(v)
grid_vertices_temp.append(v)
grid_vertices_grid.append(grid_vertices_temp)
# 根据种子数据设置网格z值
for j in range(len(sample_layer_position)):
p = sample_layer_position[j]
p_x = p[0]
p_y = p[1]
p_z = p[2]
grid_i = int(p_x * x_grid_size + 0.5)
grid_j = int(p_y * y_grid_size + 0.5)
grid_vertices[grid_j * (x_grid_size + 1) + grid_i].position[2][0].append(p_z)
grid_vertices[grid_j * (x_grid_size + 1) + grid_i].setControl(0)
###### 将网格点的z值按照原始数据进行分层，将区块内的点z值求和平均采样
setGridZ(grid_vertices_grid, crossPoints_grid_pairs)
faces = []
vertices_hash = {}
vertices = []
vertices_index = -1
Vertexs = []
# 网格vertex点创建
for i in range(len(grid_vertices_grid)):
for j in range(len(grid_vertices_grid[i])):
h_v = grid_vertices_grid[i][j]
h_p = h_v.getPosition()
if(len(h_p[2]) == 1):
h_v.setType(0)
if(len(h_p[2]) == 2):
h_v.setType(1)
if(len(h_p[2]) == 3):
h_v.setType(10)
for m in range(len(h_p[2])):
vertices_index = vertices_index + 1
p = [str((h_p[0] )), str((h_p[1])), str((h_p[2][m]))]
p_str = ''.join(p)
vertices_hash[p_str] = vertices_index
v = Vertex()
v.setIndex(v_index)
if(h_p[2][m] > 0.00000001):
v.setControl(1)
else:
v.setControl(0)
if(len(h_p[2]) == 1):
v.setType(0)
else:
v.setType(1)
v.setPosition([h_p[0], h_p[1], h_p[2][m]])
Vertexs.append(v)
# 交线vertex点创建
cross_border_index = []
for i in range(len(crossPoints_grid_pairs)):
if(TYPES[i] == 0):
continue
cross_border_index_temp = []
for j in range(len(crossPoints_grid_pairs[i][0])):
t_p = crossPoints_grid_pairs[i][0][j]
b_p = crossPoints_grid_pairs[i][1][j]
l_p = b_p
r_p = t_p
if(t_p[0] < b_p[0]):
l_p = t_p
r_p = b_p
if(comparePoint(t_p, b_p) and TYPES[i] > 0):
p = [str((t_p[0] )), str((t_p[1])), str(t_p[2])]
p_str = ''.join(p)
vertices_index = vertices_index + 1
vertices_hash[p_str] = vertices_index
v = Vertex()
v.setIndex(v_index)
v.setPosition([t_p[0], t_p[1], t_p[2]])
v.setControl(1)
v.setType(3)
Vertexs.append(v)
cross_border_index_temp.append(j)
cross_border_index.append(cross_border_index_temp)
continue
p1 = [str((t_p[0] )), str((t_p[1])), str(0.01)]
p2 = [str((t_p[0] )), str((t_p[1])), str((t_p[2]))]
p3 = [str((b_p[0] )), str((b_p[1])), str(0.01)]
p4 = [str((b_p[0] )), str((b_p[1])), str((b_p[2]))]
p_str1 = ''.join(p1)
p_str2 = ''.join(p2)
p_str3 = ''.join(p3)
p_str4 = ''.join(p4)
vertices_index = vertices_index + 1
vertices_hash[p_str1] = vertices_index
v = Vertex()
v.setIndex(v_index)
v.setPosition([t_p[0], t_p[1], 0.01])
v.setControl(0)
v.setType(4)
Vertexs.append(v)
vertices_index = vertices_index + 1
vertices_hash[p_str2] = vertices_index
v = Vertex()
v.setIndex(v_index)
v.setPosition([t_p[0], t_p[1], t_p[2]])
v.setControl(1)
v.setType(3)
Vertexs.append(v)
vertices_index = vertices_index + 1
vertices_hash[p_str3] = vertices_index
v = Vertex()
v.setIndex(v_index)
v.setPosition([b_p[0], b_p[1], 0.01])
v.setControl(0)
v.setType(4)
Vertexs.append(v)
vertices_index = vertices_index + 1
vertices_hash[p_str4] = vertices_index
v = Vertex()
v.setIndex(v_index)
v.setPosition([b_p[0], b_p[1], b_p[2]])
v.setType(3)
v.setControl(1)
Vertexs.append(v)
x = []
y = []
z = []
x2 = []
y2 = []
z2 = []
x3 = []
y3 = []
z3 = []
borders_faults = []
p_live = 2
f8_cross = []
f6_cross = []
f4_cross = []
f2_cross = []
for u in range(len(crossPoints_grid_pairs)):
if(TYPES[u] == 0):
continue
# 左边界断层
if(TYPES[u] == -1):
borders_faults.append(crossPoints_grid_pairs[u][0])
# 右边界断层
if(TYPES[u] == -2):
borders_faults.append(crossPoints_grid_pairs[u][0])
top = crossPoints_grid_pairs[u][1]
bottom = crossPoints_grid_pairs[u][0]
cross_index = -1
border_flag = 0
p_live = p_live + 1
if(u == 13):
p_live = 100
f8_i = 0
f4_i = 0
f6_i = 0
f2_i = 0
f8_flag = 0
f6_flag = 0
f4_flag = 0
f2_flag = 0
for i in range(len(grid_vertices_grid) - 1):
a = int(grid_vertices_grid[i][0].getPosition()[1] * 10000)
b = int(top[-2][1] * 10000)
c = int(top[0][1] * 10000)
if((comparePoint(top[0], bottom[0]) and a == c)):
border_flag = 1
elif((comparePoint(top[-1], bottom[-1]) and a == b)):
border_flag = -1
else:
border_flag = 0
if(TYPES[u] == -1):
border_flag = 0
if(a >= c and a <= b):
cross_index = cross_index + 1
t_p = top[cross_index]
b_p = bottom[cross_index]
t_p2 = top[cross_index + 1]
b_p2 = bottom[cross_index + 1]
l_p = []
r_p = []
l_p2 = []
r_p2 = []
if(t_p[0] < b_p[0]):
l_p = t_p
r_p = b_p
else:
l_p = b_p
r_p = t_p
if(t_p2[0] < b_p2[0]):
l_p2 = t_p2
r_p2 = b_p2
else:
l_p2 = b_p2
r_p2 = t_p2
if(l_p[0] > l_p2[0]):
l_p_min = l_p2
l_p_max = l_p
else:
l_p_min = l_p
l_p_max = l_p2
if(l_p[1] > l_p2[1]):
temp = l_p
l_p = l_p2
l_p2 = temp
if(r_p[0] < r_p2[0]):
r_p_max = r_p2
r_p_min = r_p
else:
r_p_max = r_p
r_p_min = r_p2
if(r_p[1] > r_p2[1]):
temp = r_p
r_p = r_p2
r_p2 = temp
# TT_D的f8断层交线
if(q == 5 and u == 11):
f8_cross.append([l_p, r_p])
if(q == 5 and u == 9):
f4_cross.append([l_p, r_p])
if(q == 5 and u == 10):
f6_cross.append([l_p, r_p])
if(q == 5 and u == 12):
if(f8_i < len(f8_cross) - 1 and l_p[1] == f8_cross[f8_i][0][1]):
f8_flag = 1
f8_i = f8_i + 1
if(f4_i < len(f4_cross) - 1 and l_p[1] == f4_cross[f4_i][0][1]):
f4_flag = 1
f4_i = f4_i + 1
if(f6_i < len(f6_cross) - 1 and l_p[1] == f6_cross[f6_i][0][1]):
f6_flag = 1
f6_i = f6_i + 1
top_point = True
for j in range(len(grid_vertices_grid[i]) - 1):
h_v = grid_vertices_grid[i][j]
h_p = h_v.getPosition()
if(len(h_p[2]) == 2):
x2.append(h_p[0])
y2.append(h_p[1])
elif(len(h_p[2]) == 1):
x.append(h_p[0])
y.append(h_p[1])
elif(len(h_p[2]) == 3):
x3.append(h_p[0])
y3.append(h_p[1])
v1 = grid_vertices_grid[i][j]
v2 = grid_vertices_grid[i][j + 1]
v3 = grid_vertices_grid[i + 1][j]
v4 = grid_vertices_grid[i + 1][j + 1]
p1 = v1.getPosition()
p2 = v2.getPosition()
p3 = v3.getPosition()
p4 = v4.getPosition()
pre_p1 = grid_vertices_grid[i][j - 1].getPosition()
pre_p2 = grid_vertices_grid[i + 1][j - 1].getPosition()
ps = [p1, p2, p3, p4]
pi = []
# 交线头部闭合
if(border_flag == 1):
p1_i = vertices_hash[p2str([p1[0], p1[1], p1[2][0]])]
p2_i = vertices_hash[p2str([p2[0], p2[1], p2[2][0]])]
p3_i = vertices_hash[p2str([p3[0], p3[1], p3[2][0]])]
p4_i = vertices_hash[p2str([p4[0], p4[1], p4[2][0]])]
pre_p1_i = vertices_hash[p2str([pre_p1[0], pre_p1[1], pre_p1[2][0]])]
pre_p2_i = vertices_hash[p2str([pre_p2[0], pre_p2[1], pre_p2[2][0]])]
# 交线在一个格子
if(p1[0] < l_p[0] and p3[0] < l_p2[0] and p2[0] > r_p[0] and p4[0] > r_p2[0]):
v1.setLive(p_live)
v2.setLive(p_live)
v3.setLive(p_live)
v4.setLive(p_live)
l_c_pp1 = [l_p2[0], l_p2[1], l_p2[2]]
l_c_pp2 = [l_p2[0], l_p2[1], 0.01]
o_c_pp = [l_p[0], l_p[1], l_p[2]]
l_c_pp1_i = vertices_hash[p2str(l_c_pp1)]
l_c_pp2_i = vertices_hash[p2str(l_c_pp2)]
o_c_pp_i = vertices_hash[p2str(o_c_pp)]
r_c_pp1 = [r_p2[0], r_p2[1], r_p2[2]]
r_c_pp2 = [r_p2[0], r_p2[1], 0.01]
r_c_pp1_i = vertices_hash[p2str(r_c_pp1)]
r_c_pp2_i = vertices_hash[p2str(r_c_pp2)]
if(len(p2[2]) == 1 and len(p4[2]) == 1):
linkR(o_c_pp_i, p2_i)
linkR(r_c_pp2_i, p4_i)
faces.append([p2_i, p4_i, r_c_pp2_i])
faces.append([r_c_pp2_i, o_c_pp_i, p2_i])
if(len(p1[2]) == 1 and len(p3[2]) == 1):
linkR(p3_i, l_c_pp2_i)
linkR(p1_i, o_c_pp_i)
faces.append([p1_i, p3_i, o_c_pp_i])
faces.append([p3_i, o_c_pp_i, l_c_pp2_i])
# 多层部分
faces.append([l_c_pp1_i, r_c_pp2_i, o_c_pp_i])
faces.append([l_c_pp2_i, r_c_pp1_i, o_c_pp_i])
if(len(p1[2]) == 1 and len(p2[2]) == 1):
faces.append([p1_i, o_c_pp_i, p2_i])
# 交线在两个格子,重复点位p3
elif(p1[0] < l_p[0] and p2[0] > r_p[0] and p3[0] > l_p2[0] and p4[0] > r_p2[0] and p3[0] < r_p2[0]):
p3_2_i = vertices_hash[p2str([p3[0], p3[1], p3[2][1]])]
l_c_pp1 = [l_p2[0], l_p2[1], l_p2[2]]
l_c_pp2 = [l_p2[0], l_p2[1], 0.01]
o_c_pp = [l_p[0], l_p[1], l_p[2]]
l_c_pp1_i = vertices_hash[p2str(l_c_pp1)]
l_c_pp2_i = vertices_hash[p2str(l_c_pp2)]
o_c_pp_i = vertices_hash[p2str(o_c_pp)]
r_c_pp1 = [r_p2[0], r_p2[1], r_p2[2]]
r_c_pp2 = [r_p2[0], r_p2[1], 0.01]
r_c_pp1_i = vertices_hash[p2str(r_c_pp1)]
r_c_pp2_i = vertices_hash[p2str(r_c_pp2)]
linkR(p1_i, o_c_pp_i)
linkR(o_c_pp_i, p2_i)
linkR(l_c_pp2_i, p3_2_i)
linkR(l_c_pp1_i, p3_i)
linkR(p3_2_i, r_c_pp1_i)
linkR(p3_i, r_c_pp2_i)
linkR(r_c_pp2_i, p4_i)
linkR(pre_p2_i, l_c_pp2_i)
linkR(pre_p1_i, p1_i)
faces.append([l_c_pp2_i, o_c_pp_i, p3_2_i])
faces.append([l_c_pp1_i, o_c_pp_i, p3_i])
faces.append([p3_2_i, o_c_pp_i, r_c_pp1_i])
faces.append([p3_i, o_c_pp_i, r_c_pp2_i])
faces.append([r_c_pp2_i, o_c_pp_i, p2_i])
faces.append([r_c_pp2_i, p4_i, p2_i])
faces.append([p1_i, o_c_pp_i, l_c_pp2_i])
faces.append([pre_p1_i, pre_p2_i, l_c_pp2_i])
faces.append([pre_p1_i, p1_i, l_c_pp2_i])
faces.append([p1_i, o_c_pp_i, p2_i])
# 交线在两个格子,重复点位p3
elif(pre_p1[0] < l_p[0] and p1[0] > l_p[0] and pre_p2[0] < l_p2[0] and p3[0] > l_p2[0] and p3[0] < r_p2[0] and p1[0] > r_p[0] and p4[0] > r_p2[0]):
p3_2_i = vertices_hash[p2str([p3[0], p3[1], p3[2][1]])]
l_c_pp1 = [l_p2[0], l_p2[1], l_p2[2]]
l_c_pp2 = [l_p2[0], l_p2[1], 0.01]
o_c_pp = [l_p[0], l_p[1], l_p[2]]
l_c_pp1_i = vertices_hash[p2str(l_c_pp1)]
l_c_pp2_i = vertices_hash[p2str(l_c_pp2)]
o_c_pp_i = vertices_hash[p2str(o_c_pp)]
r_c_pp1 = [r_p2[0], r_p2[1], r_p2[2]]
r_c_pp2 = [r_p2[0], r_p2[1], 0.01]
r_c_pp1_i = vertices_hash[p2str(r_c_pp1)]
r_c_pp2_i = vertices_hash[p2str(r_c_pp2)]
linkR(pre_p2_i, l_c_pp2_i)
linkR(l_c_pp2_i, p3_2_i)
linkR(l_c_pp1_i, p3_i)
linkR(p3_2_i, r_c_pp1_i)
linkR(p3_i, r_c_pp2_i)
linkR(r_c_pp2_i, p4_i)
linkR(pre_p1_i, o_c_pp_i)
linkR(o_c_pp_i, p1_i)
linkR(p1_i, p2_i)
faces.append([l_c_pp2_i, o_c_pp_i, p3_2_i])
faces.append([l_c_pp1_i, o_c_pp_i, p3_i])
faces.append([p3_2_i, o_c_pp_i, r_c_pp1_i])
faces.append([p3_i, o_c_pp_i, r_c_pp2_i])
faces.append([r_c_pp2_i, o_c_pp_i, p1_i])
faces.append([r_c_pp2_i, p1_i, p2_i])
faces.append([r_c_pp2_i, p2_i, p4_i])
faces.append([pre_p2_i, pre_p1_i, l_c_pp2_i])
faces.append([pre_p1_i, o_c_pp_i, l_c_pp2_i])
faces.append([pre_p1_i, o_c_pp_i, p1_i])
elif(p1[0] < l_p[0] and p2[0] > r_p[0] and p4[0] < r_p2[0] and pre_p2[0] > l_p2[0]):
pre_p3 = grid_vertices_grid[i][j - 2].getPosition()
pre_p4 = grid_vertices_grid[i + 1][j - 2].getPosition()
pre_p3_i = vertices_hash[p2str([pre_p3[0], pre_p3[1], pre_p3[2][0]])]
pre_p4_i = vertices_hash[p2str([pre_p4[0], pre_p4[1], pre_p4[2][0]])]
next_p3 = grid_vertices_grid[i][j + 2].getPosition()
next_p4 = grid_vertices_grid[i + 1][j + 2].getPosition()
next_p3_i = vertices_hash[p2str([next_p3[0], next_p3[1], next_p3[2][0]])]
next_p4_i = vertices_hash[p2str([next_p4[0], next_p4[1], next_p4[2][0]])]
p3_2_i = vertices_hash[p2str([p3[0], p3[1], p3[2][1]])]
p4_2_i = vertices_hash[p2str([p4[0], p4[1], p4[2][1]])]
pre_p2_2_i = vertices_hash[p2str([pre_p2[0], pre_p2[1], pre_p2[2][1]])]
l_c_pp1 = [l_p2[0], l_p2[1], l_p2[2]]
l_c_pp2 = [l_p2[0], l_p2[1], 0.01]
o_c_pp = [l_p[0], l_p[1], l_p[2]]
l_c_pp1_i = vertices_hash[p2str(l_c_pp1)]
l_c_pp2_i = vertices_hash[p2str(l_c_pp2)]
o_c_pp_i = vertices_hash[p2str(o_c_pp)]
r_c_pp1 = [r_p2[0], r_p2[1], r_p2[2]]
r_c_pp2 = [r_p2[0], r_p2[1], 0.01]
r_c_pp1_i = vertices_hash[p2str(r_c_pp1)]
r_c_pp2_i = vertices_hash[p2str(r_c_pp2)]
linkR(pre_p4_i, l_c_pp2_i)
linkR(l_c_pp2_i, pre_p2_2_i)
linkR(l_c_pp1_i, pre_p2_i)
linkR(pre_p2_2_i, p3_2_i)
linkR(pre_p2_i, p3_i)
linkR(p3_2_i, p4_2_i)
linkR(p3_i, p4_i)
linkR(p4_2_i, r_c_pp1_i)
linkR(p4_i, r_c_pp2_i)
linkR(r_c_pp2_i, next_p4_i)
linkR(pre_p3_i, pre_p1_i)
linkR(pre_p1_i, p1_i)
linkR(p1_i, o_c_pp_i)
# linkR(o_c_pp_i, p2_i)
# linkR(p2_i, p3_i)
faces.append([pre_p3_i, pre_p4_i, pre_p1_i])
faces.append([pre_p1_i, pre_p4_i, l_c_pp2_i])
faces.append([pre_p1_i, p1_i, l_c_pp2_i])
faces.append([o_c_pp_i, p1_i, l_c_pp2_i])
# faces.append([next_p3_i, next_p4_i, p2_i])
# faces.append([r_c_pp2_i, next_p4_i, p2_i])
# faces.append([r_c_pp2_i, o_c_pp_i, p2_i])
faces.append([pre_p2_2_i, o_c_pp_i, l_c_pp2_i])
faces.append([pre_p2_i, o_c_pp_i, l_c_pp1_i])
faces.append([pre_p2_2_i, o_c_pp_i, p3_2_i])
faces.append([pre_p2_i, o_c_pp_i, p3_i])
faces.append([p4_2_i, o_c_pp_i, p3_2_i])
faces.append([p4_i, o_c_pp_i, p3_i])
# faces.append([p4_2_i, o_c_pp_i, r_c_pp1_i])
# faces.append([p4_i, o_c_pp_i, r_c_pp2_i])
else:
if(q == 5 and u != 12):
continue
l_c_pp1 = [l_p2[0], l_p2[1], l_p2[2]]
l_c_pp2 = [l_p2[0], l_p2[1], 0.01]
o_c_pp = [l_p[0], l_p[1], l_p[2]]
l_c_pp1_i = vertices_hash[p2str(l_c_pp1)]
l_c_pp2_i = vertices_hash[p2str(l_c_pp2)]
o_c_pp_i = vertices_hash[p2str(o_c_pp)]
r_c_pp1 = [r_p2[0], r_p2[1], r_p2[2]]
r_c_pp2 = [r_p2[0], r_p2[1], 0.01]
r_c_pp1_i = vertices_hash[p2str(r_c_pp1)]
r_c_pp2_i = vertices_hash[p2str(r_c_pp2)]
if(top_point and p3[0] > l_p2[0] and p4[0] < r_p2[0]):
k = 1
t1 = grid_vertices_grid[i + 1][j + k].getPosition()
t2 = grid_vertices_grid[i + 1][j].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
t2_2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][1]])]
linkR(l_c_pp2_i, t2_2_i)
linkR(l_c_pp1_i, t2_i)
faces.append([l_c_pp2_i, t2_2_i, o_c_pp_i])
faces.append([l_c_pp1_i, t2_i, o_c_pp_i])
while(t1[0] < r_p2[0]):
t1_i = vertices_hash[p2str([t1[0], t1[1], t1[2][0]])]
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
t1_2_i = vertices_hash[p2str([t1[0], t1[1], t1[2][1]])]
t2_2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][1]])]
linkR(t1_i, t2_i)
linkR(t1_2_i, t2_2_i)
linkT(t1_i, o_c_pp_i)
linkT(t2_i, o_c_pp_i)
linkT(t1_2_i, o_c_pp_i)
linkT(t2_2_i, o_c_pp_i)
faces.append([t1_i, t2_i, o_c_pp_i])
faces.append([t1_2_i, t2_2_i, o_c_pp_i])
t2 = copy.deepcopy(t1)
k = k + 1
t1 = grid_vertices_grid[i + 1][j + k].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
t2_2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][1]])]
linkR(t2_i, r_c_pp2_i)
linkR(t2_2_i, r_c_pp1_i)
faces.append([t2_i, r_c_pp2_i, o_c_pp_i])
faces.append([t2_2_i, r_c_pp1_i, o_c_pp_i])
faces.append([p1_i, p2_i, o_c_pp_i])
top_point = False
# 网格单层与左交线拼接处
if(p1[0] < l_p_min[0] and p2[0] > l_p_min[0]):
if(TYPES[u] == 4 and v1.getType() == 10):
continue
pp1 = [p1[0], p1[1], p1[2][0]]
pp2 = [p2[0], p2[1], p2[2][0]]
pp3 = [p3[0], p3[1], p3[2][0]]
pp4 = [p4[0], p4[1], p4[2][0]]
pp1_i = vertices_hash[p2str(pp1)]
pp2_i = vertices_hash[p2str(pp2)]
pp3_i = vertices_hash[p2str(pp3)]
pp4_i = vertices_hash[p2str(pp4)]
c_pp1 = [l_p[0], l_p[1],l_p[2]]
c_pp2 = [l_p2[0], l_p2[1], 0.01]
c_pp1_i = vertices_hash[p2str(c_pp1)]
c_pp2_i = vertices_hash[p2str(c_pp2)]
next_p1 = grid_vertices_grid[i][j + 2].getPosition()
next_p2 = grid_vertices_grid[i + 1][j + 2].getPosition()
pre_p1 = grid_vertices_grid[i][j - 1].getPosition()
pre_p2 = grid_vertices_grid[i + 1][j - 1].getPosition()
# 交线在一个格子内
if(p2[0] > l_p_max[0] and p4[0] > l_p_max[0]):
linkR(pp1_i, c_pp1_i)
linkR(pp3_i, c_pp2_i)
linkT(c_pp1_i, c_pp2_i)
faces.append([pp1_i, pp3_i, c_pp1_i])
faces.append([c_pp1_i, c_pp2_i, pp3_i])
# 交线在两个格子以上
elif(p1[0] < l_p[0] and p2[0] > l_p[0] and p4[0] < l_p2[0]):
k = 1
linkR(pp1_i, c_pp1_i)
linkR(pp3_i, pp4_i)
linkT(pp1_i, pp3_i)
faces.append([pp1_i, pp3_i, pp4_i])
faces.append([pp1_i, c_pp1_i, pp4_i])
t1 = grid_vertices_grid[i + 1][j + k + 1].getPosition()
t2 = grid_vertices_grid[i + 1][j + 1].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
while(t1[0] < l_p2[0]):
t1_i = vertices_hash[p2str([t1[0], t1[1], t1[2][0]])]
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
linkR(t2_i, t1_i)
faces.append([t1_i, t2_i, c_pp1_i])
t2 = copy.deepcopy(t1)
k = k + 1
t1 = grid_vertices_grid[i + 1][j + k].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
linkR(t2_i, c_pp2_i)
faces.append([c_pp1_i, t2_i, c_pp2_i])
# 交线在两个格子以上反
elif(p3[0] < l_p2[0] and p4[0] > l_p2[0] and p2[0] < l_p[0]):
k = 1
linkR(pp3_i, c_pp2_i)
linkR(pp1_i, pp2_i)
linkT(pp1_i, pp3_i)
faces.append([pp1_i, pp2_i, pp3_i])
faces.append([pp2_i, c_pp2_i, pp3_i])
t1 = grid_vertices_grid[i][j + k + 1].getPosition()
t2 = grid_vertices_grid[i][j + 1].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
while(t1[0] < l_p[0]):
t1_i = vertices_hash[p2str([t1[0], t1[1], t1[2][0]])]
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
linkR(t2_i, t1_i)
linkT(t2_i, c_pp2_i)
faces.append([t1_i, t2_i, c_pp2_i])
t2 = copy.deepcopy(t1)
k = k + 1
t1 = grid_vertices_grid[i][j + k].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
linkR(t2_i, c_pp1_i)
faces.append([c_pp1_i, t2_i, c_pp2_i])
# 网格单层与右交线拼接处
if(p1[0] < r_p_max[0] and p2[0] > r_p_max[0]):
if(TYPES[u] == 4 and v1.getType() == 10):
continue
if(len(p2[2]) == 2):
continue
if(len(p4[2]) == 2):
continue
if(TYPES[u] == -1):
continue
pp1 = [p1[0], p1[1], p1[2][0]]
pp2 = [p2[0], p2[1], p2[2][0]]
pp3 = [p3[0], p3[1], p3[2][0]]
pp4 = [p4[0], p4[1], p4[2][0]]
pp1_i = vertices_hash[p2str(pp1)]
pp2_i = vertices_hash[p2str(pp2)]
pp3_i = vertices_hash[p2str(pp3)]
pp4_i = vertices_hash[p2str(pp4)]
pre_p1 = grid_vertices_grid[i][j - 1].getPosition()
pre_p2 = grid_vertices_grid[i + 1][j - 1].getPosition()
pre_p3 = grid_vertices_grid[i][j - 2].getPosition()
pre_p4 = grid_vertices_grid[i + 1][j - 2].getPosition()
dis_min = 9999
c_pp1 = [r_p[0], r_p[1], r_p[2]]
c_pp2 = [r_p2[0], r_p2[1], 0.01]
c_pp1_i = vertices_hash[p2str(c_pp1)]
c_pp2_i = vertices_hash[p2str(c_pp2)]
# 交线在一个格子内
if(p2[0] > r_p[0] and p4[0] > r_p2[0] and p3[0] < r_p2[0] and p1[0] < r_p[0]):
linkR(c_pp1_i, pp2_i)
linkR(c_pp2_i, pp4_i)
linkT(c_pp1_i, c_pp2_i)
faces.append([pp2_i, pp4_i, c_pp2_i])
faces.append([c_pp1_i, c_pp2_i, pp2_i])
# 交线在两个格子以上
elif(p3[0] < r_p2[0] and p4[0] > r_p2[0] and p1[0] > r_p[0]):
k = 1
linkR(c_pp2_i, pp4_i)
linkR(pp1_i, pp2_i)
linkT(pp2_i, pp4_i)
faces.append([pp1_i, pp2_i, pp4_i])
faces.append([pp1_i, c_pp2_i, pp4_i])
t1 = grid_vertices_grid[i][j - k].getPosition()
t2 = grid_vertices_grid[i][j].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
while(t1[0] > r_p[0]):
t1_i = vertices_hash[p2str([t1[0], t1[1], t1[2][0]])]
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
linkR(t1_i, t2_i)
linkT(t2_i, c_pp2_i)
faces.append([t1_i, t2_i, c_pp2_i])
t2 = copy.deepcopy(t1)
k = k + 1
t1 = grid_vertices_grid[i][j - k].getPosition()
t2_i = vertices_hash[p2str([t2[0], t2[1], t2[2][0]])]
linkR(c_pp1_i, t2_i)
faces.append([c_pp1_i, t2_i, c_pp2_i])
# 交线在两个格子以上反
elif(p1[0] < r_p[0] and p2[0] > r_p[0] and p3[0] > r_p2[0]):
k = 1
linkR(c_pp1_i, pp2_i)
linkR(pp3_i, pp4_i)