transsimision_line_section/PWFile.py

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import math
import os.path
from collections import OrderedDict
import re
import attrs
import pandas as pd
import xlwings as xw
from Apyautocad import Apyautocad, APoint
import os
import numpy as np
from time import sleep
from attrs import define
from typing import List
import error
from array import array
def get_layer_if_not_exist_create_it(doc, layer_name):
layers = doc.Layers
for foo in range(layers.Count):
layer = layers.Item(foo)
if layer.Name == layer_name:
return layer
return layers.Add(layer_name)
@define
class SEntry:
tower_name: str = ""
tower_height: float = 0
tower_type: str = ""
mileage_in_s: int = 0
back_k: float = 0 # 杆塔后侧的k值
forth_k: float = 0 # 杆塔前侧的k值
altitude_off: float = 0 # 中心桩高差
foundation_low: float = 0 # 基降
fitting: str = "" # 金具
is_tension_tower: bool = False # 是否为耐张塔
back_representive_span: float = 0 # 后侧代表档距
forth_representive_span: float = 0 # 前侧代表档距
class SFile:
def __init__(self) -> None:
self.tower_dic = None
def open(self, s_file_path):
self.tower_dic = OrderedDict()
tower_dic = self.tower_dic
with open(s_file_path, encoding="gbk") as s_file_obj:
new_k = 0
new_reprtv_span = 0
last_k = -1
last_reprtv_span = -1
last_tower_name = ""
for line in s_file_obj:
norm_line = line.strip()
if norm_line == "":
continue
if "首端转角号" in norm_line:
new_k = float(norm_line.split(":")[-1].replace("E", "e")) # 模板系数
new_reprtv_span = float(
re.findall(r"代表档距 : {2}(\d+) {3}模板系数", norm_line)[0]
) # 代表档距
continue
if "塔号" in norm_line:
# next_is_tension_tower=True
if last_tower_name != "":
tower_dic[last_tower_name].is_tension_tower = True
continue
norm_entry = re.sub(r"\s+", ",", norm_line)
sep_entry = norm_entry.split(",")
tower_name = sep_entry[0]
if tower_name in tower_dic:
tower_dic[tower_name].forth_k = new_k # 更新耐张塔前侧k值。
tower_dic[
tower_name
].forth_representive_span = new_reprtv_span # 更新耐张塔前侧代表档距。
last_k = tower_dic[tower_name].forth_k
last_reprtv_span = tower_dic[tower_name].forth_representive_span
continue
s_entry = SEntry()
s_entry.tower_name = tower_name
last_tower_name = tower_name
s_entry.tower_type = sep_entry[6]
s_entry.tower_height = float(sep_entry[7])
s_entry.mileage_in_s = float(sep_entry[1])
s_entry.back_k = last_k
s_entry.back_representive_span = last_reprtv_span
s_entry.forth_k = new_k
s_entry.forth_representive_span = new_reprtv_span
s_entry.altitude_off = float(sep_entry[3])
s_entry.foundation_low = float(sep_entry[4])
s_entry.fitting = sep_entry[8]
last_k = s_entry.forth_k
last_reprtv_span = s_entry.forth_representive_span
tower_dic[tower_name] = s_entry
tower_dic[list(tower_dic.keys())[-1]].forth_k = -1
tower_dic[list(tower_dic.keys())[0]].is_tension_tower = True
tower_dic[list(tower_dic.keys())[-1]].is_tension_tower = True
@define
class Fitting: # 金具
fitting_length_dic = {}
def __init__(self, fitting_file_path):
content = []
with open(fitting_file_path) as fitting_file:
for line in fitting_file:
norm_line = line.strip()
if norm_line == "":
continue
norm_entry = re.sub("\s+", ",", norm_line)
content.append(norm_entry.split(","))
ite = iter(content[7:])
for fit in ite: # 跳过前面7行
fit_name = fit[0]
fit_parameter = next(ite)
self.fitting_length_dic[fit_name] = float(fit_parameter[2]) / 1000
@define
class ColorEnume:
wire_color_rgb = [122, 219, 245]
tree_color_rgb = [240, 226, 81]
ground_color_rgb = [82, 79, 254]
span_text_color_rgb = [140, 245, 236]
representive_span_text_color_rgb = [255, 172, 75]
# 读取Z文件找到Z断面第一个点的坐标
def plane_z_origin(z_file_path):
with open(z_file_path) as zfile:
content = zfile.read()
norm_content = re.sub("\s+", ",", content)
sep = norm_content.split(",")
return np.array([float(sep[0]), float(sep[1])])
def deduce_zfile_from_cad_path(cad_file_path):
dwg_file_name = os.path.split(cad_file_path)
dwg_prefix = dwg_file_name[1].split(".")[0]
return os.path.join(dwg_file_name[0], f"Z{dwg_prefix}")
def deduce_fit_db_from_cad_path(cad_file_path):
dwg_file_name = os.path.split(cad_file_path)
dwg_prefix = dwg_file_name[1].split(".")[0]
return os.path.join(dwg_file_name[0], "Fit.db")
def curve_fun(x, span, k, gaocha): # 弧垂公式
return x * gaocha / span - x * (span - x) * k
def np2d_to_array(np2d): # 把2维numpy数组转换成cad可以用的数组
t = np.hstack((np2d, np.zeros((np2d.shape[0], 1)))).reshape(1, np2d.shape[0] * 3)
return t[0]
@define
class StringImpactExcel:
def read(self, wb, gaocha, span, tension):
pos代表档距 = "F13"
pos档距 = "L13"
pos高差 = "R13"
pos张力 = "AB18"
pos总串长 = "C8"
sheet = wb.sheets["模板"]
sheet.range(pos高差).value = gaocha
sheet.range(pos档距).value = span
sheet.range(pos张力).value = tension
string_length = sheet.range(pos总串长).value
x = np.linspace(string_length, span, int(span / 5), endpoint=True)
x[0] = sheet.range("E23").value
x[1] = sheet.range("E24").value
sheet.range(f"E25:E{25+len(x)-3}").value = x[2:].reshape(len(x[2:]), 1)
y = (
np.array(sheet.range(f"V23:V{23+len(x)-1}").value) / 2
) # 表格是乘以了2的为了和x保持一致没有乘比例。
return (x, y)
def set_true_color(object, r_or_rgb_list, g=0, b=0):
true_color = object.TrueColor
if type(r_or_rgb_list) == List or type(r_or_rgb_list) == list:
true_color.SetRGB(*r_or_rgb_list)
else:
true_color.SetRGB(r_or_rgb_list, g, b)
object.TrueColor = true_color
@define
class StringImpactExcelRecord:
from_tower_name: str = ""
fo_tower_name: str = ""
representive_span: float = 0 # 代表档距
span: float = 0
tension: float = 0
gaocha: float = 0
@define
class StringImpactPlate:
_dwg_file_path: str
_s_file_path: str
_draw_start_tower_name: str
_draw_end_tower_name: str
_continouse_tension_excel: str
_string_impact_curve_excel: str
_cad: None
excel_record_list: List = [] # 记录对excel的操作
def _find_target_tower_index(
self, start_tower_name: str, end_tower_name, tower_dict
):
# 从 start_tower_name开始寻找一个耐张段
index = []
tower_key_list = list(tower_dict.keys())
try:
index_of_first_tower = tower_key_list.index(start_tower_name)
if (
tower_dict[tower_key_list[index_of_first_tower]].is_tension_tower
== True
):
index.append(index_of_first_tower)
except ValueError: # 没找到第一个塔,就直接返回
return index
try:
index_of_last_tower = tower_key_list.index(end_tower_name)
# 开始补充第一个和最后一个直接的耐张塔
for index_of_tension_tower in range(
index_of_first_tower + 1, index_of_last_tower
):
if (
tower_dict[tower_key_list[index_of_tension_tower]].is_tension_tower
== True
):
index.append(index_of_tension_tower)
if tower_dict[tower_key_list[index_of_last_tower]].is_tension_tower == True:
index.append(index_of_last_tower)
except ValueError: # 没找到最后一个塔,就只画一个耐张段
for index_of_tension_tower in range(
index_of_first_tower + 1, len(tower_key_list)
):
if (
tower_dict[tower_key_list[index_of_tension_tower]].is_tension_tower
== True
):
index.append(index_of_tension_tower)
break
# can_start_find = False
# for tower_key in tower_key_list:
# tower_info = tower_dict[tower_key]
# if tower_info.tower_name == start_tower_name:
# can_start_find = True
# continue
# if can_start_find and tower_info.is_tension_tower == True:
# found_tower_name = tower_info.tower_name
# index.append(tower_key_list.index(found_tower_name))
# break
return index
def _plot(self, cad, plot_x, plot_y):
custom_layer = get_layer_if_not_exist_create_it(cad.doc, "123custom_layer")
plot_vector = np2d_to_array(np.hstack((plot_x, plot_y)))
added_curve = cad.model.AddPolyLine(plot_vector)
added_curve.Layer = custom_layer.Name
set_true_color(added_curve, *ColorEnume.wire_color_rgb)
# TODO 应该读规程的
plot_ground_y = plot_y - 16 * 2
plot_ground_vector = np2d_to_array(np.hstack((plot_x, plot_ground_y)))
added_ground_curve = cad.model.AddPolyLine(plot_ground_vector)
added_ground_curve.Layer = custom_layer.Name
set_true_color(added_ground_curve, *ColorEnume.ground_color_rgb)
plot_tree_y = plot_y - 13.5 * 2
plot_tree_vector = np2d_to_array(np.hstack((plot_x, plot_tree_y)))
added_tree_curve = cad.model.AddPolyLine(plot_tree_vector)
added_tree_curve.Layer = custom_layer.Name
set_true_color(added_tree_curve, *ColorEnume.tree_color_rgb)
def _draw_action(self, excel_app, cad):
# TODO 计算代表档距
s_file = SFile()
s_file.open(self._s_file_path)
tower_dict = s_file.tower_dic
tower_key_list = list(tower_dict.keys())
draw_tower_indexes = self._find_target_tower_index(
self._draw_start_tower_name, self._draw_end_tower_name, tower_dict
)
fitting_file_path = deduce_fit_db_from_cad_path(self._dwg_file_path)
fitting = Fitting(fitting_file_path)
z_file_path = deduce_zfile_from_cad_path(self._dwg_file_path)
plate_origin = plane_z_origin(z_file_path)
continouse_wb = excel_app.books.open(self._continouse_tension_excel)
continouse_sheet = continouse_wb.sheets["模板"]
wb_string_impact = excel_app.books.open(self._string_impact_curve_excel)
stringImpactExcel = StringImpactExcel()
sleep(1)
for draw_tower_index in draw_tower_indexes:
draw_tower_key = tower_key_list[draw_tower_index]
tower_info: SEntry = tower_dict[draw_tower_key]
if draw_tower_index < tower_key_list.index(
self._draw_end_tower_name
): # 不是最后一个,或者只有第一个。
# 画前侧
forth_reprtv_span = tower_info.forth_representive_span
continouse_sheet.range("B69").value = forth_reprtv_span
high_temperature_tension = continouse_sheet.range("L69").value
forth_tower_info: SEntry = tower_dict[
tower_key_list[draw_tower_index + 1]
]
if forth_tower_info.is_tension_tower:
forth_tower_fitting_length = 0
else:
forth_tower_fitting_length = fitting.fitting_length_dic[
forth_tower_info.fitting
]
gaocha_of_tower = (
(
forth_tower_info.tower_height
- forth_tower_info.foundation_low
- forth_tower_fitting_length
)
- (tower_info.tower_height - tower_info.foundation_low)
+ forth_tower_info.altitude_off
)
span_of_tower = forth_tower_info.mileage_in_s - tower_info.mileage_in_s
(x, y) = stringImpactExcel.read(
wb_string_impact,
gaocha_of_tower,
span_of_tower,
high_temperature_tension,
)
plot_x = (
plate_origin[0]
+ (
tower_dict[tower_key_list[draw_tower_index]].mileage_in_s
- tower_dict[self._draw_start_tower_name].mileage_in_s
)
/ 5
+ x / 5
).reshape(len(x), 1)
accumulate_altitude_off = np.sum(
[
tower_dict[tower_key_list[bar]].altitude_off
for bar in range(
tower_key_list.index(self._draw_start_tower_name) + 1, draw_tower_index + 1
)
]
)
plot_y = (
plate_origin[1]
+ accumulate_altitude_off * 2
+ (tower_info.tower_height - tower_info.foundation_low + y) * 2
).reshape(len(x), 1)
self._plot(cad, plot_x, plot_y)
if draw_tower_index > tower_key_list.index(
self._draw_start_tower_name
): # 不是第一个,或者只有最后一个
# 画后侧
back_reprtv_span = tower_info.back_representive_span
continouse_sheet.range("B69").value = back_reprtv_span
high_temperature_tension = continouse_sheet.range("L69").value
back_tower_info: SEntry = tower_dict[
tower_key_list[draw_tower_index - 1]
]
if back_tower_info.is_tension_tower:
back_tower_fitting_length = 0
else:
back_tower_fitting_length = fitting.fitting_length_dic[
back_tower_info.fitting
]
gaocha_of_tower = (
(
back_tower_info.tower_height
- back_tower_info.foundation_low
- back_tower_fitting_length
)
- (tower_info.tower_height - tower_info.foundation_low)
- tower_info.altitude_off
)
span_of_tower = tower_info.mileage_in_s - back_tower_info.mileage_in_s
(x, y) = stringImpactExcel.read(
wb_string_impact,
gaocha_of_tower,
span_of_tower,
high_temperature_tension,
)
plot_tower_x = (
plate_origin[0]
+ (
tower_dict[tower_key_list[draw_tower_index]].mileage_in_s
- tower_dict[self._draw_start_tower_name].mileage_in_s
)
/ 5
- x / 5 # 从右往左画
).reshape(len(x), 1)
accumulate_altitude_off = np.sum(
[
tower_dict[tower_key_list[bar]].altitude_off
for bar in range(
tower_key_list.index(self._draw_start_tower_name) + 1, draw_tower_index + 1
)
]
)
plot_tower_y = (
plate_origin[1]
+ accumulate_altitude_off * 2
+ (tower_info.tower_height - tower_info.foundation_low + y) * 2
).reshape(len(x), 1)
self._plot(cad, plot_tower_x, plot_tower_y)
# draw_first_tower_key = tower_key_list[draw_tower_indexes[0]]
# first_tower_info: SEntry = tower_dict[draw_first_tower_key]
# forth_reprtv_span = first_tower_info.forth_representive_span
# continouse_sheet.range("B69").value = forth_reprtv_span
# high_temperature_tension = continouse_sheet.range("L69").value
# if first_tower_info.is_tension_tower:
# forth_tower_info: SEntry = tower_dict[
# tower_key_list[draw_tower_indexes[0] + 1]
# ]
# if forth_tower_info.is_tension_tower:
# forth_tower_fitting_length = 0
# else:
# forth_tower_fitting_length = fitting.fitting_length_dic[
# forth_tower_info.fitting
# ]
# gaocha_of_first_tower = (
# (
# forth_tower_info.tower_height
# - forth_tower_info.foundation_low
# - forth_tower_fitting_length
# )
# - (first_tower_info.tower_height - first_tower_info.foundation_low)
# + forth_tower_info.altitude_off
# )
# span_of_first_tower = (
# forth_tower_info.mileage_in_s - first_tower_info.mileage_in_s
# )
# (x, y) = stringImpactExcel.read(
# wb_string_impact,
# gaocha_of_first_tower,
# span_of_first_tower,
# high_temperature_tension,
# )
# # TODO: 没有考虑断面中间有耐张塔的情况
# plot_x = (plate_origin[0] + x / 5).reshape(len(x), 1)
# plot_y = (
# plate_origin[1]
# + (first_tower_info.tower_height - first_tower_info.foundation_low + y)
# * 2
# ).reshape(len(x), 1)
# self._plot(cad, plot_x, plot_y)
# # 记录
# # TODO:记录还没有用
# record = StringImpactExcelRecord()
# record.from_tower_name = first_tower_info.tower_name
# record.fo_tower_name = forth_tower_info.tower_name
# record.span = span_of_first_tower
# record.representive_span = first_tower_info.forth_representive_span
# record.gaocha = gaocha_of_first_tower
# record.tension = high_temperature_tension
# self.excel_record_list.append(record)
# # 画右侧耐张塔的弧垂
# draw_last_tower_key = tower_key_list[draw_tower_indexes[-1]]
# last_tower_info: SEntry = tower_dict[draw_last_tower_key] # 最后一个塔位
# if last_tower_info.is_tension_tower:
# back_reprtv_span = last_tower_info.back_representive_span
# back_tower_info: SEntry = tower_dict[
# tower_key_list[draw_tower_indexes[-1] - 1]
# ]
# if back_tower_info.is_tension_tower:
# back_tower_fitting_length = 0
# else:
# back_tower_fitting_length = fitting.fitting_length_dic[
# back_tower_info.fitting
# ]
# gaocha_of_last_tower = (
# (
# back_tower_info.tower_height
# - back_tower_info.foundation_low
# - back_tower_fitting_length
# )
# - (last_tower_info.tower_height - last_tower_info.foundation_low)
# - last_tower_info.altitude_off
# )
# span_of_last_tower = (
# last_tower_info.mileage_in_s - back_tower_info.mileage_in_s
# )
# (x, y) = stringImpactExcel.read(
# wb_string_impact,
# gaocha_of_last_tower,
# span_of_last_tower,
# high_temperature_tension,
# )
# plot_last_tower_x = (
# plate_origin[0]
# + (
# tower_dict[tower_key_list[draw_tower_indexes[-1]]].mileage_in_s
# - tower_dict[tower_key_list[draw_tower_indexes[0]]].mileage_in_s
# )
# / 5
# - x / 5 # 从右往左画
# ).reshape(len(x), 1)
# accumulate_altitude_off = np.sum(
# [
# tower_dict[tower_key_list[bar]].altitude_off
# for bar in range(draw_tower_indexes[0] + 1, draw_tower_indexes[-1] + 1)
# ]
# )
# plot_last_tower_y = (
# plate_origin[1]
# + accumulate_altitude_off * 2
# + (last_tower_info.tower_height - last_tower_info.foundation_low + y)
# * 2
# ).reshape(len(x), 1)
# plot_last_tower_vector = np2d_to_array(
# np.hstack((plot_last_tower_x, plot_last_tower_y))
# )
# self._plot(cad, plot_last_tower_x, plot_last_tower_y)
def draw(self):
if self._cad:
with xw.App(visible=False) as excel_app:
self._draw_action(excel_app, self._cad)
else:
with xw.App(visible=False) as excel_app, Apyautocad(
create_if_not_exists=True, visible=True, auto_close=True
) as cad:
cad.app.Documents.Open(self._dwg_file_path)
self._draw_action(excel_app, cad)
def saveAs(self, save_to):
self._cad.SaveAs(save_to)
@define
class ContinuousPlate:
_dwg_file_path: str
_s_file_path: str
_from_tower_name: str
_end_tower_name: str
cad: object = None
def draw(self):
s_file = SFile()
s_file_path = self._s_file_path
s_file.open(s_file_path)
dwg_file_path = self._dwg_file_path
with Apyautocad(
create_if_not_exists=True, visible=True, auto_close=False
) as cad:
self.cad = cad
doc = cad.app.Documents.Open(dwg_file_path)
sleep(1)
custom_layer = get_layer_if_not_exist_create_it(doc, "123custom_layer")
tower_dict = s_file.tower_dic
z_file_path = deduce_zfile_from_cad_path(dwg_file_path)
z_point = plane_z_origin(z_file_path)
fitting_file_path = deduce_fit_db_from_cad_path(dwg_file_path)
fitting = Fitting(fitting_file_path)
fitting_length_dict = fitting.fitting_length_dic
first_tower_point = z_point
last_tower_info = None # 上一个塔位信息
accu_mileage = 0 # 累计档距
accu_altitude_off = 0 # 累计高差
is_first_tower = True
can_start_draw = -1
start_tower_name = self._from_tower_name
tower_key_list = list(tower_dict.keys())
draw_count_limit = (
tower_key_list.index(self._end_tower_name)
- tower_key_list.index(self._from_tower_name)
+ 1
)
draw_count = 0
for tower in tower_dict:
tower_info = tower_dict[tower]
if tower_info.tower_name == start_tower_name:
can_start_draw = 0
elif can_start_draw != 0:
continue
if not last_tower_info:
last_tower_info = tower_info
if draw_count > draw_count_limit - 1:
break
foundation_low = tower_info.foundation_low
accu_mileage = (
accu_mileage
+ tower_info.mileage_in_s
- last_tower_info.mileage_in_s
)
if draw_count == draw_count_limit - 1:
# 画代表档距
represented_span_text = f"{tower_info.back_representive_span:.0f}"
represented_span_text_point = np.array(
[(accu_mileage / 2) / 5 + 50, 1]
)
added_represented_span_text = cad.model.AddText(
represented_span_text,
APoint(*represented_span_text_point.tolist()),
3,
)
set_true_color(
added_represented_span_text,
ColorEnume.representive_span_text_color_rgb,
)
added_represented_span_text.Layer = custom_layer.Name
if is_first_tower: # 是否是开始画的第一个塔。
accu_altitude_off = 0
else:
accu_altitude_off = (
accu_altitude_off + tower_info.altitude_off
) # 中心桩高程
np_tower_start = first_tower_point + np.array(
[
accu_mileage / 5,
(accu_altitude_off - foundation_low) * 2,
]
)
tower_height = tower_info.tower_height
if tower_info.is_tension_tower:
np_tower_end = first_tower_point + np.array(
[
accu_mileage / 5,
(accu_altitude_off + tower_height - foundation_low) * 2,
]
)
else:
np_tower_end = first_tower_point + np.array(
[
accu_mileage / 5,
(
accu_altitude_off
+ tower_height
- foundation_low
- fitting_length_dict[tower_info.fitting]
+ 3
)
* 2,
]
) # 直线塔杆高只比悬垂挂点高3米
# 画杆高
tower_pole = cad.model.AddPolyLine(
np2d_to_array(np.vstack((np_tower_start, np_tower_end)))
)
tower_pole.Layer = custom_layer.Name
tower_pole.SetWidth(0, 0.8, 0.8)
set_true_color(tower_pole, 0, 255, 255)
# 画塔名和呼高
added_tower_name = cad.model.AddText(
f"{tower_info.tower_name}",
APoint(*(np_tower_end + np.array([-5, 13])).tolist()),
5,
)
added_tower_name.Layer = custom_layer.Name
if (
abs(math.floor(tower_info.tower_height) - tower_info.tower_height)
< 0.1
): # 考虑了半米呼高的情况
draw_tower_height_str = f"{tower_info.tower_height:.0f}"
else:
draw_tower_height_str = f"{tower_info.tower_height:.1f}"
added_hugao = cad.model.AddText(
f"{tower_info.tower_type}-{draw_tower_height_str}",
APoint(*(np_tower_end + np.array([-5, 5])).tolist()),
5,
)
added_hugao.Layer = custom_layer.Name
draw_count += 1
# 画弧垂
if not is_first_tower: # 从第二基塔开始画
draw_k = tower_info.back_k
span = tower_info.mileage_in_s - last_tower_info.mileage_in_s
last_tower_fiting = last_tower_info.fitting
last_tower_fitting_length = fitting_length_dict[last_tower_fiting]
if last_tower_info.is_tension_tower:
last_tower_fitting_length = 0
tower_fitting = tower_info.fitting
tower_fitting_length = fitting_length_dict[tower_fitting]
if tower_info.is_tension_tower:
tower_fitting_length = 0
last_tower_height = last_tower_info.tower_height
last_foundation_low = last_tower_info.foundation_low
# 挂点高差
fiting_altitude_off = (
tower_info.altitude_off
+ (tower_height - foundation_low - tower_fitting_length)
- (
last_tower_height
- last_foundation_low
- last_tower_fitting_length
)
) # 前侧高为正
# 画导线弧垂
x = np.linspace(0, span, int(span), endpoint=True)
curve = curve_fun(x, span, draw_k, fiting_altitude_off)
draw_curve_x = (first_tower_point[0]) + (
x + accu_mileage - span
) / 5
draw_curve_y = (
first_tower_point[1]
+ (
+curve
+ accu_altitude_off
- tower_info.altitude_off
- last_tower_info.foundation_low
+ last_tower_info.tower_height
- last_tower_fitting_length
)
* 2
)
draw_curve_x = draw_curve_x.reshape(len(draw_curve_x), 1)
draw_curve_y = draw_curve_y.reshape(len(draw_curve_y), 1)
# TODO 应该读规程的
draw_ground_curve_y = draw_curve_y - 16 * 2 # 切地线
draw_tree_curve_y = draw_curve_y - 13.5 * 2 # 切树线
draw_point = np.hstack(
(draw_curve_x, draw_curve_y, np.zeros((len(draw_curve_x), 1)))
)
draw_ground_curve_point = np.hstack(
(
draw_curve_x,
draw_ground_curve_y,
np.zeros((len(draw_curve_x), 1)),
)
)
draw_tree_curve_point = np.hstack(
(
draw_curve_x,
draw_tree_curve_y,
np.zeros((len(draw_curve_x), 1)),
)
)
added_curve = cad.model.AddPolyLine(
draw_point.reshape(1, draw_curve_x.shape[0] * 3)[0]
)
added_curve.Layer = custom_layer.Name
set_true_color(added_curve, *ColorEnume.wire_color_rgb)
added_ground_curve = cad.model.AddPolyLine(
draw_ground_curve_point.reshape(
1, draw_ground_curve_y.shape[0] * 3
)[0]
)
added_ground_curve.Layer = custom_layer.Name
set_true_color(added_ground_curve, *ColorEnume.ground_color_rgb)
added_tree_curve = cad.model.AddPolyLine(
draw_tree_curve_point.reshape(
1, draw_tree_curve_y.shape[0] * 3
)[0]
)
added_tree_curve.Layer = custom_layer.Name
set_true_color(added_tree_curve, *ColorEnume.tree_color_rgb)
# 画档距
span_text_insert_point = np.array(
[(accu_mileage - span / 2) / 5 + 50, 6]
)
added_span_text = cad.model.AddText(
f"{span:.0f}", APoint(*span_text_insert_point.tolist()), 3
)
# 画档距分割线
add_span_splitter = cad.model.AddPolyLine(
array(
"d",
[
(accu_mileage) / 5 + 50,
5,
0,
(accu_mileage) / 5 + 50,
10,
0,
],
)
)
add_span_splitter.Layer = custom_layer.Name
set_true_color(added_span_text, *ColorEnume.span_text_color_rgb)
added_span_text.Layer = custom_layer.Name
is_first_tower = False
last_tower_info = tower_info
def saveAs(self, save_to):
cad = self.cad
doc = cad.doc
doc.SaveAs(save_to)
@define
class ControlFile:
_z_excel_file_path: str = attrs.field(init=True, kw_only=False)
_z_file_path: str = ""
_dwg_file_path: str = ""
_from_tower_name: str = ""
_end_tower_name: str = ""
_consider_string_weight: bool = False
_excel_string_weight_path: str = ""
_excel_continuous_path: str = ""
_s_file_path: str = ""
_dir_prefix: str = ""
_z_file_name: str = ""
_close_cad_document: bool = attrs.field(init=True, kw_only=False, default=True)
def __attrs_post_init__(self):
z_excel_file_path = self._z_excel_file_path
excel_pf = pd.read_excel(z_excel_file_path)
pf_dict = excel_pf.to_dict("records")[0]
z_excel_path = os.path.split(z_excel_file_path)
self._z_file_name = pf_dict["Z文件"]
dir_prefix = z_excel_path[0]
self._dir_prefix = dir_prefix
self._from_tower_name = pf_dict["起始塔号"]
self._end_tower_name = pf_dict["终止塔号"]
if pf_dict["是否考虑耐张串影响"] == "":
self._consider_string_weight = True
self._excel_string_weight_path = pf_dict["计算耐张串影响用表格"]
self._excel_continuous_path = pf_dict["计算连续档用表格"]
self._z_file_path = os.path.join(dir_prefix, pf_dict["Z文件"])
self._dwg_file_path = os.path.join(dir_prefix, pf_dict["DWG文件"])
self._s_file_path = os.path.join(dir_prefix, pf_dict["S文件"])
def get_zt_dwg_file_path(self): # 获得生成的dwg文件名路径
return os.path.join(self._dir_prefix, "ZT" + self._z_file_name + ".dwg")
def draw(self):
if not os.path.exists(self._dwg_file_path):
raise error.DWGFileNotExistError(self._dwg_file_path)
continuous_plate = ContinuousPlate(
self._dwg_file_path,
self._s_file_path,
self._from_tower_name,
self._end_tower_name,
)
continuous_plate.draw()
string_impact_plate = StringImpactPlate(
self._dwg_file_path,
self._s_file_path,
self._from_tower_name,
self._end_tower_name,
self._excel_continuous_path,
self._excel_string_weight_path,
continuous_plate.cad,
)
string_impact_plate.draw()
cad = continuous_plate.cad
cad.doc.SaveAs(self.get_zt_dwg_file_path())
cad.doc.Utility.Prompt("断面已生成。\n")
# # 画完后再打开
# cad = None
# continousePlate = None
# with Apyautocad(
# create_if_not_exists=True, visible=True, auto_close=False
# ) as cad:
# cad.app.Documents.Open(self.get_zt_dwg_file_path())
if self._close_cad_document:
cad.doc.Close(False)