88 lines
3.1 KiB
Python
88 lines
3.1 KiB
Python
from collections import OrderedDict
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import re
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from attrs import define
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@define
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class SEntry:
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tower_name: str = ""
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tower_height: float = 0
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tower_type: str = ""
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mileage_in_s: int = 0
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back_k: float = 0
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forth_k: float = 0
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altitude_off: float = 0
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foundation_low: float = 0 # 基降
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fitting: str = "" # 金具
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is_tension_tower: bool = False
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class SFile:
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def __init__(self) -> None:
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self.tower_dic = None
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def open(self, s_file_path):
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self.tower_dic = OrderedDict()
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tower_dic = self.tower_dic
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with open(s_file_path, encoding="gbk") as s_file_obj:
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new_k = 0
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last_k = -1
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# next_is_tension_tower=False
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last_tower_name = ""
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for line in s_file_obj:
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norm_line = line.strip()
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if norm_line == "":
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continue
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if "首端转角号" in norm_line:
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new_k = float(norm_line.split(":")[-1].replace("E", "e")) # 模板系数
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continue
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if "塔号" in norm_line:
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# next_is_tension_tower=True
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if last_tower_name != "":
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tower_dic[last_tower_name].is_tension_tower = True
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continue
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norm_entry = re.sub("\s+", ",", norm_line)
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sep_entry = norm_entry.split(",")
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tower_name = sep_entry[0]
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if tower_name in tower_dic:
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tower_dic[tower_name].forth_k = new_k # 更新耐张塔前侧k值。
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continue
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s_entry = SEntry()
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# s_entry.is_tension_tower=next_is_tension_tower
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# next_is_tension_tower=False
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s_entry.tower_name = tower_name
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last_tower_name = tower_name
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s_entry.tower_type = sep_entry[6]
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s_entry.tower_height = float(sep_entry[7])
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s_entry.mileage_in_s = float(sep_entry[1])
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s_entry.back_k = last_k
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s_entry.forth_k = new_k
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s_entry.altitude_off = float(sep_entry[3])
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s_entry.foundation_low = float(sep_entry[4])
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s_entry.fitting = sep_entry[8]
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last_k = s_entry.forth_k
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tower_dic[tower_name] = s_entry
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tower_dic[list(tower_dic.keys())[-1]].forth_k = -1
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tower_dic[list(tower_dic.keys())[0]].is_tension_tower = True
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tower_dic[list(tower_dic.keys())[-1]].is_tension_tower = True
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@define
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class Fitting:
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fitting_length_dic = {}
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def __init__(self, fitting_file_path):
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content = []
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with open(fitting_file_path) as fitting_file:
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for line in fitting_file:
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norm_line = line.strip()
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if norm_line == "":
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continue
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norm_entry = re.sub("\s+", ",", norm_line)
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content.append(norm_entry.split(","))
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ite = iter(content[7:])
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for fit in ite: # 跳过前面7行
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fit_name = fit[0]
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fit_parameter = next(ite)
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self.fitting_length_dic[fit_name] = float(fit_parameter[2]) / 1000
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