mirror of
https://github.com/Alex38Lyon/Synthese-PSM_LARRA.git
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Alex38Lyon
3114 lines
140 KiB
Python
3114 lines
140 KiB
Python
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"""
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#############################################################################################
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# #
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# Script pour convertir des données topographiques des formats #
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# .th de Therion (brut, sans les dossiers) #
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# .mak ou .dat de compass #
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# .tro de visual topo #
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# #
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# au format th et th2 de Therion #
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# by Alexandre PONT (alexandre_pont@yahoo.fr) #
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# #
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# Définir les différentes variables dans fichier config.ini #
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# #
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# Usage : python pyCreateTh.py #
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# Commandes : pyCreateTh.py --help #
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# #
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#############################################################################################
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Merci à :
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- Tanguy Racine pour les scripts https://github.com/tr1813
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- Xavier Robert pour les principes de base https://github.com/robertxa
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- Xavier Robert pour les scripts de conversion .tro https://github.com/robertxa/pytherion
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- Benoit Urruty https://github.com/BenoitURRUTY
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Sources documentaires :
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- Format des fichiers compass : https://fountainware.com/compass/Documents/FileFormats/FileFormats.htm
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Création Alex le 2025 06 09
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En cours :
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- tester la avec les dernières option de la version de DAT (CORRECTION2 et suivants)
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- améliorer fonction wall shot pour faire habillage des th2 files, les jointures...
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- traiter les series avec 1 ou 2 stations
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- PB des cartouches et des échelles pour faire des pdf automatiquement
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- tester différentes version pour les fichiers .tro
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"""
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Version = "2025.07.04"
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#################################################################################################
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#################################################################################################
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import os, re, argparse, shutil, sys, time, math
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from os.path import isfile, join, abspath, splitext
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from pathlib import Path
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import numpy as np
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import networkx as nx
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import pandas as pd
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pd.set_option('future.no_silent_downcasting', True)
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from datetime import datetime
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from collections import defaultdict
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from copy import deepcopy
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from alive_progress import alive_bar # https://github.com/rsalmei/alive-progress
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from contextlib import redirect_stdout
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from Lib.survey import SurveyLoader, NoSurveysFoundException
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from Lib.therion import compile_template, compile_file, get_stats_from_log
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from Lib.general_fonctions import setup_logger, Colors, safe_relpath, colored_help
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from Lib.general_fonctions import load_config, select_file_tk_window, release_log_file, sanitize_filename
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from Lib.general_fonctions import copy_template_if_not_exists, add_copyright_header, copy_file_with_copyright, update_template_files
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import Lib.global_data as globalData
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from Lib.pytro2th.tro2th import convert_tro #Version local modifiée
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#################################################################################################
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debug_log = False # Mode debug des messages
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#################################################################################################
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# Renommage des tableau pdFrame de station #
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#################################################################################################
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@pd.api.extensions.register_series_accessor("stationName")
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class StationNameAccessor:
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def __init__(self, pandas_obj):
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self._obj = pandas_obj
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def __call__(self):
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return (
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self._obj
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.str.replace('[', '_d_', regex=False)
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.str.replace(']', '_f_', regex=False)
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.str.replace('@', '_a_', regex=False)
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.str.replace(' ', '_e_', regex=False)
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.str.replace('p', '_p_', regex=False)
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)
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#################################################################################################
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def parse_therion_surveys(file_path):
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"""Parse les enquêtes Therion à partir d'un fichier.
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Args:
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file_path (str): Le chemin d'accès au fichier à analyser.
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Returns:
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list: Une liste des noms d'enquête trouvés dans le fichier.
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"""
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survey_names = []
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try:
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file, val, encodage = load_text_file_utf8(file_path, os.path.basename(file_path))
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# lines = file.readlines()
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lines = file.splitlines()
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# with open(filepath, 'r', encoding=enc) as f:
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# content = f.read()
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for line in lines:
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# Look for lines starting with survey
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line = line.strip()
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if line.startswith('survey ') and ' -title ' in line:
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# Split the line and extract the survey name
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start_index = line.find('survey ') + len('survey ')
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end_index = line.find(' -title ')
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survey_name = line[start_index:end_index].strip()
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survey_names.append(survey_name)
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except FileNotFoundError:
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log.error(f"File {Colors.ENDC}{safe_relpath(file_path)}{Colors.ERROR} not found.{Colors.ENDC}")
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globalData.error_count += 1
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except PermissionError:
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log.error(f"Insufficient permissions to read {Colors.ENDC}{safe_relpath(file_path)}")
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globalData.error_count += 1
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except Exception as e:
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log.error(f"An error occurred (parse_therion_surveys): {Colors.ENDC}{e}{Colors.ERROR}, file: {Colors.ENDC}{safe_relpath(file_path)}")
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globalData.error_count += 1
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return survey_names
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#################################################################################################
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def convert_to_line_polaire_df(df_lines):
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"""Convertit un DataFrame de lignes cartésiennes (x1, y1, x2, y2, name1, name2)
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en un DataFrame avec représentation polaire (x1, y1, azimut_deg, longueur, name1, name2).
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Args:
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df_lines (pd.DataFrame): Le DataFrame contenant les lignes à convertir.
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Returns:
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pd.DataFrame: Un DataFrame avec les colonnes polaires.
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"""
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try:
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# Forcer la conversion des colonnes numériques
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df_lines = df_lines.copy() # évite de modifier l'original
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cols_to_float = ["x1", "y1", "x2", "y2"]
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for col in cols_to_float:
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df_lines[col] = pd.to_numeric(df_lines[col], errors="coerce")
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# Supprimer les lignes invalides (NaN après conversion)
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df_lines = df_lines.dropna(subset=cols_to_float)
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dx = df_lines["x2"] - df_lines["x1"]
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dy = df_lines["y2"] - df_lines["y1"]
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# Calcul de la longueur et de l'azimut
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length = np.hypot(dx, dy)
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azimut = (np.degrees(np.arctan2(dx, dy))) % 360
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if "group_id" in df_lines.columns:
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df_polaire = pd.DataFrame({
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"x1": df_lines["x1"],
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"y1": df_lines["y1"],
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"x2": df_lines["x2"],
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"y2": df_lines["y2"],
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"azimut_deg": azimut,
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"longueur": length,
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"name1": df_lines["name1"],
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"name2": df_lines["name2"],
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"group_id": df_lines["group_id"],
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"rank_in_group": df_lines["rank_in_group"],
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})
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else :
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df_polaire = pd.DataFrame({
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"x1": df_lines["x1"],
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"y1": df_lines["y1"],
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"x2": df_lines["x2"],
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"y2": df_lines["y2"],
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"azimut_deg": azimut,
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"longueur": length,
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"name1": df_lines["name1"],
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"name2": df_lines["name2"],
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})
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return df_polaire
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except Exception as e:
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log.error(f"Issue in polar conversion: {Colors.ENDC}{e}")
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globalData.error_count += 1
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return pd.DataFrame()
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#################################################################################################
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def parse_xvi_file(thNameXvi):
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"""Parse un fichier .xvi et extrait les stations et les lignes.
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Args:
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thNameXvi (str): chemin complet du fichier .xvi à lire.
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Returns:
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tuple: Un tuple contenant les stations, les lignes, et les bornes (x_min, x_max, y_min, y_max, x_ecart, y_ecart).
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"""
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stations = {}
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lines = []
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splays = []
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with open(join(thNameXvi), "r", encoding="utf-8") as f:
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xvi_content = f.read()
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xviStations, xviShots = xvi_content.split("XVIshots")
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# Extraction des stations
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for line in xviStations.split("\n"):
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match = re.search(r"{\s*(-?\d+\.\d+)\s*(-?\d+\.\d+)\s([^@]+)(?:@([^\s}]*))?\s*}", line)
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if match:
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x, y, station_number, namespace = match.groups()
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namespace_array = namespace.split(".") if namespace else []
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station = station_number
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if len(namespace_array) > 1:
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station = "{}@{}".format(station_number, ".".join(namespace_array[0:-1]))
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if station != "." and station != "-":
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stations[f"{x}.{y}"] = [x, y, station]
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# Calcul des bornes x et y
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xValues = [float(value[0]) for value in stations.values()]
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yValues = [float(value[1]) for value in stations.values()]
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x_min, x_max = min(xValues), max(xValues)
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y_min, y_max = min(yValues), max(yValues)
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x_ecart = x_max - x_min
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y_ecart = y_max - y_min
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for line in xviShots.split("\n"):
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match = re.search(r"^\s*{\s*(-?\d+\.\d+)\s+(-?\d+\.\d+)\s+(-?\d+\.\d+)\s+(-?\d+\.\d+)(.*)}", line)
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if match:
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x1, y1, x2, y2, rest = match.groups()
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key1 = f"{x1}.{y1}"
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key2 = f"{x2}.{y2}"
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station1 = stations[key1][2] if key1 in stations else None
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station2 = stations[key2][2] if key2 in stations else None
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# Ajout de la ligne principale si les stations sont valides
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if station1 not in [".", "-", None] and station2 not in [".", "-", None]:
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lines.append([x1, y1, x2, y2, station1, station2])
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else:
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splays.append([x1, y1, x2, y2, station1, station2])
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# Vérifie s'il y a au moins 8 autres champs pour les splays
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additional_coords = re.findall(r"-?\d+\.\d+", rest)
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if len(additional_coords) >= 8:
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splays.append([x1, y1, additional_coords[0], additional_coords[1], station1, "-"])
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# splays.append([x2, y2, additional_coords[2], additional_coords[3], station2, "-"])
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# splays.append([x2, y2, additional_coords[4], additional_coords[5], station2, "-"])
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splays.append([x1, y1, additional_coords[6], additional_coords[7], station1, "-"])
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return stations, lines, splays, x_min, x_max, y_min, y_max, x_ecart, y_ecart
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#################################################################################################
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def assign_groups_and_ranks(df_lines):
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"""Assigne des groupes et des rangs aux lignes du DataFrame.
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Args:
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df_lines (pd.DataFrame): Le DataFrame contenant les lignes à traiter.
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Returns:
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pd.DataFrame: Un DataFrame avec les colonnes "group_id" et "rank_in_group" ajoutées.
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"""
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G = nx.Graph()
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for _, row in df_lines.iterrows():
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G.add_edge(row["name1"], row["name2"])
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used_edges = set()
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results = []
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equates = [] # Liste des (group_id, start_point, end_point)
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group_id = 0
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def walk_path(u, prev=None):
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path = []
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current = u
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while True:
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neighbors = [n for n in G.neighbors(current) if n != prev]
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if len(neighbors) != 1:
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break
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next_node = neighbors[0]
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edge = tuple(sorted((current, next_node)))
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if edge in used_edges:
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break
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used_edges.add(edge)
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path.append(edge)
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prev = current
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current = next_node
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return path
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# Noeuds ayant un degré différent de 2
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start_nodes = [n for n in G.nodes if G.degree(n) != 2]
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# Si tous les nœuds ont un degré 2 : cycle fermé
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if not start_nodes:
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start_nodes = [list(G.nodes)[0]]
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for node in start_nodes:
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for neighbor in G.neighbors(node):
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edge = tuple(sorted((node, neighbor)))
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if edge in used_edges:
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continue
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used_edges.add(edge)
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path = [(node, neighbor)] + walk_path(neighbor, node)
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for rank, (n1, n2) in enumerate(path):
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match = df_lines[(df_lines["name1"] == n1) & (df_lines["name2"] == n2)]
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if match.empty:
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match = df_lines[(df_lines["name1"] == n2) & (df_lines["name2"] == n1)]
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if not match.empty:
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row = match.iloc[0].copy()
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row["group_id"] = group_id
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row["rank_in_group"] = rank
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results.append(row)
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if rank == 0:
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start_point = n1
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end_point = path[-1][1] if path else start_point
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equates.append((group_id, str(start_point), str(end_point)))
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group_id += 1
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# Création du DataFrame principal
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df_result = pd.DataFrame(results)
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# Création du DataFrame equates
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df_equates = pd.DataFrame(equates, columns=["group_id", "start_point", "end_point"])
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df_equates["group_id"] = df_equates["group_id"].astype(int)
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df_equates["start_point"] = df_equates["start_point"].astype(str)
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df_equates["end_point"] = df_equates["end_point"].astype(str)
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# Ajout de la colonne max_rank (si possible)
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if not df_result.empty and "group_id" in df_result.columns:
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max_ranks = df_result.groupby("group_id")["rank_in_group"].max().reset_index()
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max_ranks.rename(columns={"rank_in_group": "max_rank"}, inplace=True)
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max_ranks["max_rank"] = max_ranks["max_rank"].astype(int)
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df_equates = df_equates.merge(max_ranks, on="group_id", how="left")
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else:
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df_equates["max_rank"] = 0
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# Ajout de la colonne start_group (raccord logique avec un autre groupe)
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end_to_group = df_equates[["end_point", "group_id"]].copy()
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end_to_group.rename(columns={"end_point": "start_point", "group_id": "start_group"}, inplace=True)
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end_to_group["start_point"] = end_to_group["start_point"].astype(str)
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df_equates = df_equates.merge(end_to_group, on="start_point", how="left")
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# Remplacer les NaN dans start_group par 0
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df_equates["start_group"] = df_equates["start_group"].fillna(0).astype(int)
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return df_result, df_equates
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#################################################################################################
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def add_start_end_splays(df_splays_complet, df_equates):
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"""Ajoute des splays de début et de fin au DataFrame des splays.
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Args:
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df_splays_complet (pd.DataFrame): Le DataFrame complet des splays.
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df_equates (pd.DataFrame): Le DataFrame des équivalences.
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Returns:
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pd.DataFrame: Le DataFrame des splays mis à jour avec les nouveaux splays.
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"""
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df_splays_new = df_splays_complet.copy()
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for _, row in df_equates.iterrows():
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group_id = row["group_id"]
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end_point = row["end_point"]
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start_point = row["start_point"]
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start_group = row["start_group"]
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# Vérifie si le end_point est déjà dans les splays
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mask = (df_splays_complet["name1"] == end_point) & (df_splays_complet["group_id"] == group_id)
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if not mask.any():
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# Trouver un splay existant du même groupe pour copier la structure
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splay_example = df_splays_complet[df_splays_complet["name1"] == end_point].copy()
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if not splay_example.empty:
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splay_example["group_id"] = group_id
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splay_example["rank_in_group"] = row["max_rank"] + 1
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ref_row = df_splays_complet[
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(df_splays_complet["group_id"] == group_id) &
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(df_splays_complet["rank_in_group"] == row["max_rank"] - 1)
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]
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if not ref_row.empty:
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splay_example["longueur_ref"] = ref_row.iloc[0]["longueur_ref"]
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splay_example["bissectrice"] = ref_row.iloc[0]["bissectrice"]
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splay_example = splay_example.drop_duplicates()
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df_splays_new = pd.concat([df_splays_new, splay_example], ignore_index=True)
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# print(f"\n splay_example end add: {len(splay_example)}")
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# print(splay_example)
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# Vérifie si le end_point est déjà dans les splays
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mask = (df_splays_complet["name1"] == start_point) & (df_splays_complet["group_id"] == start_group)
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if not mask.any():
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# Trouver un splay existant du même groupe pour copier la structure
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splay_example = df_splays_complet[df_splays_complet["name1"] == start_point].copy()
|
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if not splay_example.empty:
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splay_example["group_id"] = group_id
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splay_example["rank_in_group"] = 0
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ref_row = df_splays_complet[
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||
(df_splays_complet["group_id"] == start_group) &
|
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(df_splays_complet["rank_in_group"] == 0)
|
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]
|
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if not ref_row.empty:
|
||
splay_example["longueur_ref"] = ref_row.iloc[0]["longueur_ref"]
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splay_example["bissectrice"] = ref_row.iloc[0]["bissectrice"]
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splay_example = splay_example.drop_duplicates()
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df_splays_new = pd.concat([df_splays_new, splay_example], ignore_index=True)
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# print(f"\n splay_example start add : {len(splay_example)}")
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# print(splay_example)
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# else:
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# Aucun splay existant pour ce group_id : on ignore ou on crée un modèle vide
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# print(f"Aucun modèle de splay pour group_id {group_id} — point {end_point} ignoré.")
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||
return df_splays_new
|
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|
||
|
||
#################################################################################################
|
||
def align_points(smoothX1, smoothY1, X, Y, smoothX2, smoothY2):
|
||
"""Aligne les points en fonction de leur position l'un par rapport à l'autre.
|
||
|
||
Args:
|
||
smoothX1 (float): Coordonnée X du premier point lissé.
|
||
smoothY1 (float): Coordonnée Y du premier point lissé.
|
||
X (float): Coordonnée X du point central.
|
||
Y (float): Coordonnée Y du point central.
|
||
smoothX2 (float): Coordonnée X du deuxième point lissé.
|
||
smoothY2 (float): Coordonnée Y du deuxième point lissé.
|
||
|
||
Raises:
|
||
ValueError: Si les deux points lissés sont confondus.
|
||
|
||
Returns:
|
||
tuple: Les coordonnées des points lissés alignés.
|
||
"""
|
||
|
||
# Vecteurs d'origine vers smooth1 et smooth2
|
||
dx1, dy1 = smoothX1 - X, smoothY1 - Y
|
||
dx2, dy2 = smoothX2 - X, smoothY2 - Y
|
||
|
||
# Vecteur directeur initial entre smooth1 et smooth2
|
||
dir_x, dir_y = smoothX2 - smoothX1, smoothY2 - smoothY1
|
||
|
||
# Normalisation du vecteur directeur
|
||
length = math.hypot(dir_x, dir_y)
|
||
if length == 0:
|
||
raise ValueError("Les deux points smooth sont confondus, la direction est indéfinie.")
|
||
|
||
dir_x /= length
|
||
dir_y /= length
|
||
|
||
# Calcul des distances originales depuis le centre
|
||
dist1 = math.hypot(dx1, dy1)
|
||
dist2 = math.hypot(dx2, dy2)
|
||
|
||
# Recalcule des points alignés, en gardant les distances depuis le point central
|
||
_smoothX1 = X + dir_x * dist1 * globalData.kSmooth
|
||
_smoothY1 = Y + dir_y * dist1 * globalData.kSmooth
|
||
|
||
_smoothX2 = X - dir_x * dist2 * globalData.kSmooth
|
||
_smoothY2 = Y - dir_y * dist2 * globalData.kSmooth
|
||
|
||
return (_smoothX1, _smoothY1), (_smoothX2, _smoothY2)
|
||
|
||
|
||
#################################################################################################
|
||
def wall_construction_smoothed(df_lines, df_splays, x_min, x_max, y_min, y_max):
|
||
"""Construit les murs en utilisant les lignes et les splays fournis.
|
||
|
||
Args:
|
||
df_lines (pd.DataFrame): Le DataFrame des lignes.
|
||
df_splays (pd.DataFrame): Le DataFrame des splays.
|
||
x_min (float): La coordonnée X minimale.
|
||
x_max (float): La coordonnée X maximale.
|
||
y_min (float): La coordonnée Y minimale.
|
||
y_max (float): La coordonnée Y maximale.
|
||
|
||
Returns:
|
||
list: Une liste de murs construits.
|
||
"""
|
||
|
||
th2_walls=[]
|
||
_list = ""
|
||
|
||
# pd.set_option('display.max_rows', None)
|
||
# pd.set_option('display.max_columns', None)
|
||
# pd.set_option('display.width', None)
|
||
# pd.set_option('display.max_colwidth', None)
|
||
# print(f"\n df_lines: {len(df_lines)} :\n{df_lines}")
|
||
# print(f"\n df_splays: {len(df_splays)} :\n{df_splays}")
|
||
|
||
|
||
if len(df_lines) <= 2 or len(df_splays) <= 2:
|
||
return th2_walls, 0, 0, 0, 0
|
||
|
||
df_lines, df_equates = assign_groups_and_ranks(df_lines)
|
||
|
||
# Conversion en polaire
|
||
df_lines_polaire = convert_to_line_polaire_df(df_lines)
|
||
df_splays_polaire = convert_to_line_polaire_df(df_splays)
|
||
|
||
df_temp = df_lines_polaire.copy()
|
||
df_temp['rank_in_group_prev'] = df_temp['rank_in_group'] + 1
|
||
|
||
# Fusionner pour récupérer l'azimut précédent
|
||
df_lines_polaire = df_lines_polaire.merge(
|
||
df_temp[['group_id', 'rank_in_group_prev', 'azimut_deg']],
|
||
left_on=['group_id', 'rank_in_group'],
|
||
right_on=['group_id', 'rank_in_group_prev'],
|
||
how='left',
|
||
suffixes=('', '_prev')
|
||
)
|
||
|
||
# Renommer et nettoyer
|
||
df_lines_polaire['azimut_prev_deg'] = df_lines_polaire['azimut_deg_prev']
|
||
df_lines_polaire = df_lines_polaire.drop(['rank_in_group_prev', 'azimut_deg_prev'], axis=1)
|
||
df_lines_polaire['azimut_prev_deg'] = df_lines_polaire['azimut_prev_deg'].fillna(df_lines_polaire['azimut_deg'])
|
||
df_lines_polaire['bissectrice'] = (df_lines_polaire['azimut_deg'] + df_lines_polaire['azimut_prev_deg']) / 2
|
||
|
||
|
||
# print(f"\n df_lines_polaire: {len(df_lines_polaire)} :\n{df_lines_polaire}")
|
||
# print(f"\n df_equates: {len(df_equates)} :\n{df_equates}")
|
||
|
||
# Index des lignes polaires par station name1
|
||
index_by_station = df_lines_polaire.set_index("name1")[["bissectrice", "longueur"]]
|
||
|
||
# Jointure pour récupérer azimut_ref et longueur_ref
|
||
_df_splays_complet = df_splays_polaire.copy()
|
||
_df_splays_complet = _df_splays_complet.join(index_by_station, on="name1", rsuffix="_ref")
|
||
|
||
# Remplacer les valeurs manquantes par défaut : azimut_ref = 0, longueur_ref = 0
|
||
_df_splays_complet["bissectrice"] = _df_splays_complet["bissectrice"].fillna(0)
|
||
_df_splays_complet["longueur_ref"] = _df_splays_complet["longueur_ref"].fillna(0)
|
||
|
||
df_splays_complet = _df_splays_complet.merge(
|
||
df_lines[["name1", "group_id", "rank_in_group"]],
|
||
on="name1",
|
||
how="left"
|
||
)
|
||
|
||
missing_mask = df_splays_complet["group_id"].isna()
|
||
|
||
for idx, row in df_splays_complet[missing_mask].iterrows():
|
||
name1 = row["name1"]
|
||
match = df_lines_polaire[df_lines_polaire["name2"] == name1]
|
||
if not match.empty:
|
||
group_id = match["group_id"].values[0]
|
||
max_rank = df_lines_polaire[df_lines_polaire["group_id"] == group_id]["rank_in_group"].max()
|
||
|
||
df_splays_complet.loc[idx, "bissectrice"] = match["azimut_deg"].values[0]
|
||
df_splays_complet.loc[idx, "longueur_ref"] = match["longueur"].values[0]
|
||
df_splays_complet.loc[idx, "group_id"] = group_id
|
||
df_splays_complet.loc[idx, "rank_in_group"] = max_rank + 1
|
||
|
||
df_splays_complet = add_start_end_splays(df_splays_complet, df_equates)
|
||
|
||
df_splays_complet = df_splays_complet.sort_values(by=["group_id", "rank_in_group"]).reset_index(drop=True)
|
||
|
||
df_splays_complet["delta_azimut"] = df_splays_complet["bissectrice"] - df_splays_complet["azimut_deg"]
|
||
|
||
df_splays_complet["proj"] = np.sin(np.radians(df_splays_complet["bissectrice"] - df_splays_complet["azimut_deg"])) * df_splays_complet["longueur"]
|
||
|
||
df_splays_complet["group_id"] = df_splays_complet["group_id"].astype(int)
|
||
df_splays_complet["rank_in_group"] = df_splays_complet["rank_in_group"].astype(int)
|
||
|
||
# print(f"\n df_splays_complet: {len(df_splays_complet)} :\n{df_splays_complet}")
|
||
|
||
# Filtrage des extrêmes min/max par station name1
|
||
df_valid_proj = df_splays_complet.dropna(subset=["proj"])
|
||
|
||
# print(f"\n df_splays_complet: {len(df_splays_complet)} :\n{df_splays_complet}")
|
||
|
||
idx_max = df_valid_proj.groupby(["group_id", "rank_in_group"])["proj"].idxmax()
|
||
df_result01 = df_valid_proj.loc[idx_max].reset_index(drop=True)
|
||
# idx_max = df_valid_proj.groupby("name1")["proj"].idxmax()
|
||
df_result01 = pd.concat([df_valid_proj.loc[idx_max]]).drop_duplicates()
|
||
df_sorted01 = df_result01.sort_values(by=["group_id", "rank_in_group"]).reset_index(drop=True)
|
||
|
||
idx_min = df_valid_proj.groupby(["group_id", "rank_in_group"])["proj"].idxmin()
|
||
df_result02 = df_valid_proj.loc[idx_min].reset_index(drop=True)
|
||
# idx_min = df_valid_proj.groupby("name1")["proj"].idxmin()
|
||
df_result02 = pd.concat([df_valid_proj.loc[idx_min]]).drop_duplicates()
|
||
df_sorted02 = df_result02.sort_values(by=["group_id", "rank_in_group"]).reset_index(drop=True)
|
||
|
||
# Affichage de contrôle
|
||
# print(f"\n df_sorted01: {len(df_sorted01)} :\n{df_sorted01}")
|
||
# print(f"\n df_sorted02: {len(df_sorted02)} :\n{df_sorted02}")
|
||
# print(f"\n idx_min: {len(idx_min)} :\n{idx_min}")
|
||
|
||
smooth02 = []
|
||
smooth01 = []
|
||
|
||
for gid in sorted(df_sorted01["group_id"].unique()):
|
||
df_group = df_sorted02[df_sorted02["group_id"] == gid]
|
||
|
||
# _list += f"line wall\n"
|
||
_linex2 = 0.0
|
||
_liney2 = 0.0
|
||
|
||
for line in df_group.itertuples(index=False):
|
||
X = line.x2 + (- line.x2 + _linex2) / 2
|
||
Y = line.y2 + (- line.y2 + _liney2) / 2
|
||
if _linex2 == 0.0 and _liney2 == 0.0:
|
||
row = {
|
||
'smoothX1': None,
|
||
'smoothY1': None,
|
||
'smoothX2': None,
|
||
'smoothY2': None,
|
||
'X': line.x2,
|
||
'Y': line.y2,
|
||
'Jump': False,
|
||
}
|
||
else :
|
||
row = {
|
||
'smoothX1': X,
|
||
'smoothY1': Y,
|
||
'smoothX2': X,
|
||
'smoothY2': Y,
|
||
'X': line.x2,
|
||
'Y': line.y2,
|
||
'Jump': False,
|
||
}
|
||
|
||
_linex2 = line.x2
|
||
_liney2 = line.y2
|
||
smooth02.append(row)
|
||
if line.x2 > x_max: x_max = line.x2
|
||
if line.x2 < x_min: x_min = line.x2
|
||
if line.y2 > y_max: y_max = line.y2
|
||
if line.y2 < y_min: y_min = line.y2
|
||
row = {
|
||
'smoothX1': None,
|
||
'smoothY1': None,
|
||
'smoothX2': None,
|
||
'smoothY2': None,
|
||
'X': None,
|
||
'Jump': True,
|
||
}
|
||
smooth02.append(row)
|
||
|
||
_linex2 = 0.0
|
||
_liney2 = 0.0
|
||
|
||
df_group = df_sorted01[df_sorted01["group_id"] == gid]
|
||
|
||
for line in df_group.itertuples(index=False):
|
||
X = line.x2 + (- line.x2 + _linex2) / 2
|
||
Y = line.y2 + (- line.y2 + _liney2) / 2
|
||
if _linex2 == 0.0 and _liney2 == 0.0:
|
||
row = {
|
||
'smoothX1': None,
|
||
'smoothY1': None,
|
||
'smoothX2': None,
|
||
'smoothY2': None,
|
||
'X': line.x2,
|
||
'Y': line.y2,
|
||
'Jump': False,
|
||
}
|
||
else :
|
||
row = {
|
||
'smoothX1': X,
|
||
'smoothY1': Y,
|
||
'smoothX2': X,
|
||
'smoothY2': Y,
|
||
'X': line.x2,
|
||
'Y': line.y2,
|
||
'Jump': False,
|
||
}
|
||
|
||
_linex2 = line.x2
|
||
_liney2 = line.y2
|
||
smooth01.append(row)
|
||
if line.x2 > x_max: x_max = line.x2
|
||
if line.x2 < x_min: x_min = line.x2
|
||
if line.y2 > y_max: y_max = line.y2
|
||
if line.y2 < y_min: y_min = line.y2
|
||
|
||
row = {
|
||
'smoothX1': None,
|
||
'smoothY1': None,
|
||
'smoothX2': None,
|
||
'smoothY2': None,
|
||
'X': None,
|
||
'Jump': True,
|
||
}
|
||
smooth01.append(row)
|
||
|
||
df_smooth01 = pd.DataFrame(smooth01)
|
||
df_smooth02 = pd.DataFrame(smooth02)
|
||
|
||
# print(f"\n df_sorted01: {len(df_sorted01)} :\n{df_sorted01}")
|
||
# print(f"\n df_smooth01: {len(df_smooth01)} :\n{df_smooth01}")
|
||
|
||
if len(df_smooth01) > 1:
|
||
_list = "line wall -reverse on\n"
|
||
|
||
for i in range(len(df_smooth01) - 1):
|
||
row_current = df_smooth01.iloc[i]
|
||
row_next = df_smooth01.iloc[i + 1]
|
||
|
||
if row_current['Jump'] == True :
|
||
_list +="\tsmooth off\nendline\n\nline wall -reverse on\n"
|
||
continue
|
||
if pd.isna(row_current[['smoothX2', 'smoothY2', 'X', 'Y']]).any() or pd.isna(row_next[['smoothX1', 'smoothY1']]).any():
|
||
_list += f"\t{row_current['X']} {row_current['Y']}\n"
|
||
continue
|
||
|
||
result = align_points(
|
||
smoothX1=row_next['smoothX1'],
|
||
smoothY1=row_next['smoothY1'],
|
||
X=row_current['X'],
|
||
Y=row_current['Y'],
|
||
smoothX2=row_current['smoothX2'],
|
||
smoothY2=row_current['smoothY2']
|
||
)
|
||
|
||
if result:
|
||
(_sx1, _sy1), (_sx2, _sy2) = result
|
||
df_smooth01.at[i+1, 'smoothX1'] = _sx2
|
||
df_smooth01.at[i+1, 'smoothY1'] = _sy2
|
||
df_smooth01.at[i, 'smoothX2'] = _sx1
|
||
df_smooth01.at[i, 'smoothY2'] = _sy1
|
||
|
||
_list += f"\t{row_current['smoothX1']:.2f} {row_current['smoothY1']:.2f} {row_current['smoothX2']:.2f} {row_current['smoothY2']:.2f} {row_current['X']} {row_current['Y']}\n"
|
||
|
||
_list += "\tsmooth off\nendline\n\nline wall\n"
|
||
|
||
|
||
for i in range(len(df_smooth02) - 1):
|
||
row_current = df_smooth02.iloc[i]
|
||
row_next = df_smooth02.iloc[i + 1]
|
||
|
||
# Vérifie qu'aucune valeur utilisée n'est NaN
|
||
if row_current['Jump'] == True :
|
||
_list +="\tsmooth off\nendline\n\nline wall\n"
|
||
continue
|
||
if pd.isna(row_current[['smoothX2', 'smoothY2', 'X', 'Y']]).any() or pd.isna(row_next[['smoothX1', 'smoothY1']]).any():
|
||
_list += f"\t{row_current['X']} {row_current['Y']}\n"
|
||
continue
|
||
|
||
result = align_points(
|
||
smoothX1=row_next['smoothX1'],
|
||
smoothY1=row_next['smoothY1'],
|
||
X=row_current['X'],
|
||
Y=row_current['Y'],
|
||
smoothX2=row_current['smoothX2'],
|
||
smoothY2=row_current['smoothY2']
|
||
)
|
||
|
||
if result:
|
||
(_sx1, _sy1), (_sx2, _sy2) = result
|
||
df_smooth02.at[i+1, 'smoothX1'] = _sx2
|
||
df_smooth02.at[i+1, 'smoothY1'] = _sy2
|
||
df_smooth02.at[i, 'smoothX2'] = _sx1
|
||
df_smooth02.at[i, 'smoothY2'] = _sy1
|
||
|
||
_list += f"\t{row_current['smoothX1']:.2f} {row_current['smoothY1']:.2f} {row_current['smoothX2']:.2f} {row_current['smoothY2']:.2f} {row_current['X']} {row_current['Y']}\n"
|
||
|
||
_list += "\tsmooth off\nendline\n"
|
||
|
||
th2_walls.append(globalData.th2wall.format(list = _list))
|
||
|
||
return th2_walls, x_min, x_max, y_min, y_max
|
||
|
||
|
||
#################################################################################################
|
||
# Création des dossiers à partir d'un th file #
|
||
#################################################################################################
|
||
def create_th_folders(ENTRY_FILE,
|
||
PROJECTION = "all",
|
||
TARGET = "None",
|
||
FORMAT = "th2",
|
||
SCALE = "500",
|
||
UPDATE = False,
|
||
CONFIG_PATH = "",
|
||
totReadMeError = "") :
|
||
|
||
"""Création des dossiers et fichiers à partir d'un fichier .th
|
||
|
||
Args:
|
||
ENTRY_FILE (str): Chemin du fichier Therion d'entrée.
|
||
PROJECTION (str): Type de projection à utiliser.
|
||
TARGET (str): Cible de la projection.
|
||
FORMAT (str): Format de sortie, par défaut "th2".
|
||
SCALE (str): Échelle à utiliser, par défaut "500".
|
||
UPDATE (bool): Indique si l'on met à jour les fichiers existants.
|
||
CONFIG_PATH (str): Chemin vers le fichier de configuration Therion.
|
||
totReadMeError (str): Message d'erreur pour le fichier README.
|
||
|
||
Returns:
|
||
bool: True si la création des dossiers et fichiers a réussi, False sinon.
|
||
|
||
"""
|
||
|
||
threads = []
|
||
TH_NAME = sanitize_filename(os.path.splitext(os.path.basename(ENTRY_FILE))[0])
|
||
DEST_PATH = os.path.dirname(ENTRY_FILE) + "/" + TH_NAME
|
||
ABS_PATH = os.path.dirname(ENTRY_FILE)
|
||
shortCurentFile = safe_relpath(ENTRY_FILE)
|
||
|
||
log.debug(f"ENTRY_FILE: {ENTRY_FILE}")
|
||
log.debug(f"PROJECTION: {PROJECTION}")
|
||
log.debug(f"TARGET: {TARGET}")
|
||
log.debug(f"FORMAT: {FORMAT}")
|
||
log.debug(f"SCALE: {SCALE}")
|
||
log.debug(f"TH_NAME: {TH_NAME}")
|
||
log.debug(f"DEST_PATH: {DEST_PATH}")
|
||
log.debug(f"ABS_PATH: {ABS_PATH}")
|
||
|
||
# if PROJECTION.lower() != "plan" and PROJECTION.lower() != "extended" and PROJECTION.lower() != "all":
|
||
# log.critical(f"Sorry, projection '{Colors.ENDC}{PROJECTION}{Colors.ERROR}' not yet implemented{Colors.ENDC}")
|
||
# # exit(1)
|
||
|
||
if not os.path.isfile(ENTRY_FILE):
|
||
log.critical(f"The Therion file didn't exist: {Colors.ENDC}{shortCurentFile}")
|
||
exit(1)
|
||
|
||
if FORMAT not in ["th2", "plt"]:
|
||
log.critical(f"Please choose a supported format: th2, plt{Colors.ENDC}")
|
||
exit(1)
|
||
|
||
# Normalise name, namespace, key, file path
|
||
log.info(f"Parsing survey entry file: {Colors.ENDC}{shortCurentFile}")
|
||
|
||
survey_list = parse_therion_surveys(ENTRY_FILE)
|
||
|
||
if TARGET == "None" :
|
||
if len(survey_list) > 1 :
|
||
log.critical(f"Multiple surveys were found, not yet implemented{Colors.ENDC}")
|
||
exit(1)
|
||
|
||
TARGET = survey_list[0]
|
||
|
||
log.info(f"Parsing survey target: {Colors.ENDC}{TARGET}")
|
||
|
||
loader = SurveyLoader(ENTRY_FILE)
|
||
survey = loader.get_survey_by_id(survey_list[0])
|
||
|
||
if not survey:
|
||
raise NoSurveysFoundException(f"No survey found with that selector")
|
||
|
||
if UPDATE :
|
||
DEST_PATH = os.path.dirname(args.file)
|
||
log.info(f"Update th2 files: {Colors.ENDC}{DEST_PATH}")
|
||
log.debug(f"\t{Colors.BLUE}survey_file : {Colors.ENDC} {args.file}")
|
||
log.debug(f"\t{Colors.BLUE}ENTRY_FILE: {Colors.ENDC} {ENTRY_FILE}")
|
||
log.debug(f"\t{Colors.BLUE}PROJECTION: {Colors.ENDC} {PROJECTION}")
|
||
log.debug(f"\t{Colors.BLUE}TARGET: {Colors.ENDC} {TARGET}")
|
||
# log.info(f"\t{Colors.BLUE}OUTPUT: {Colors.ENDC} {OUTPUT}")
|
||
log.debug(f"\t{Colors.BLUE}FORMAT: {Colors.ENDC} {FORMAT}")
|
||
log.debug(f"\t{Colors.BLUE}SCALE: {Colors.ENDC} {SCALE}")
|
||
log.debug(f"\t{Colors.BLUE}TH_NAME: {Colors.ENDC} {TH_NAME}")
|
||
log.debug(f"\t{Colors.BLUE}DEST_PATH: {Colors.ENDC} {DEST_PATH}")
|
||
log.debug(f"\t{Colors.BLUE}ABS_PATH: {Colors.ENDC} {ABS_PATH}")
|
||
|
||
#################################################################################################
|
||
# Copy template folders #
|
||
#################################################################################################
|
||
if not UPDATE:
|
||
log.debug(f"Copy template folder and adapte it")
|
||
copy_template_if_not_exists(globalData.templatePath, DEST_PATH)
|
||
copy_file_with_copyright(ENTRY_FILE, DEST_PATH + "/Data", globalData.Copyright)
|
||
|
||
|
||
#################################################################################################
|
||
# Produce the parsable XVI file #
|
||
#################################################################################################
|
||
log.info(f"Compiling 2D XVI file: {Colors.ENDC}{TH_NAME}")
|
||
|
||
if UPDATE:
|
||
thFile = Path(DEST_PATH + "\\" + TH_NAME + ".th")
|
||
thName = Path(DEST_PATH + "\\" + TH_NAME)
|
||
|
||
else :
|
||
thFile = Path(DEST_PATH + "\\Data\\" + TH_NAME + ".th")
|
||
thName = Path(DEST_PATH + "\\Data\\" + TH_NAME)
|
||
|
||
template_args = {
|
||
"th_file": thFile,
|
||
"selector": survey.therion_id,
|
||
"th_name": thName,
|
||
"XVIscale": globalData.XVIScale,
|
||
}
|
||
|
||
logfile, tmpdir, totReadMeError = compile_template(globalData.thconfigTemplate, template_args, totReadMeError, cleanup=False, therion_path=globalData.therionPath)
|
||
|
||
shutil.rmtree(tmpdir)
|
||
|
||
if logfile == "Therion error":
|
||
# log.error(f"Therion error in: {Colors.ENDC}{TH_NAME}")
|
||
flagErrorCompile = True
|
||
stat = {"length": 0, "depth": 0}
|
||
else :
|
||
flagErrorCompile = False
|
||
stat = get_stats_from_log(logfile)
|
||
|
||
#################################################################################################
|
||
# Update files #
|
||
#################################################################################################
|
||
if not UPDATE:
|
||
|
||
proj = args.proj.lower()
|
||
values = {
|
||
"none": ("# ", "# ", "# "),
|
||
"plan": ("", "", "# "),
|
||
"extended": ("", "# ", ""),
|
||
}
|
||
|
||
maps, plan, extended = values.get(proj, ("", "", ""))
|
||
|
||
totdata = globalData.totfile.format(
|
||
TH_NAME = TH_NAME,
|
||
ERR = "# " if flagErrorCompile else "",
|
||
Plan = plan,
|
||
Extended = extended,
|
||
Maps = maps)
|
||
|
||
# Adapte templates
|
||
config_vars = {
|
||
'fileName': TH_NAME,
|
||
'caveName': TH_NAME.replace("_", " "),
|
||
'Author': globalData.Author,
|
||
'Copyright': globalData.Copyright,
|
||
'Scale' : SCALE,
|
||
'Target' : TARGET,
|
||
'mapComment' : globalData.mapComment,
|
||
'club' : globalData.club,
|
||
'thanksto' : globalData.thanksto.replace("_", r"\_"),
|
||
'datat' : globalData.datat.replace("_", r"\_"),
|
||
'wpage' : globalData.wpage.replace("_", r"\_"),
|
||
'cs' : globalData.cs,
|
||
'configPath' : CONFIG_PATH,
|
||
'totData' : totdata,
|
||
'maps' : maps,
|
||
'plan': plan,
|
||
'XVIscale':globalData.XVIScale,
|
||
'extended': extended,
|
||
'XVIscale':globalData.XVIScale,
|
||
'other_scraps_plan' : "",
|
||
'file_info' : f'# File generated by pyCreateTh.py version: {Version} date: {datetime.now().strftime("%Y.%m.%d %H:%M:%S")}',
|
||
}
|
||
|
||
update_template_files(DEST_PATH + '/template.thconfig', config_vars, DEST_PATH + '/' + TH_NAME + '.thconfig')
|
||
update_template_files(DEST_PATH + '/template-tot.th', config_vars, DEST_PATH + '/' + TH_NAME + '-tot.th')
|
||
update_template_files(DEST_PATH + '/template-readme.md', config_vars, DEST_PATH + '/' + TH_NAME + '-readme.md')
|
||
|
||
#################################################################################################
|
||
# Parse the Plan XVI file #
|
||
#################################################################################################
|
||
other_scraps_plan = ""
|
||
if PROJECTION.lower() == "plan" or PROJECTION.lower() == "all" and not flagErrorCompile :
|
||
if UPDATE:
|
||
thNameXvi = DEST_PATH + "/" + TH_NAME + "-Plan.xvi"
|
||
else :
|
||
thNameXvi = DEST_PATH + "/Data/" + TH_NAME + "-Plan.xvi"
|
||
|
||
log.info(f"Parsing Plan XVI file: {Colors.ENDC}{safe_relpath(thNameXvi)}")
|
||
|
||
stations = {}
|
||
lines = []
|
||
|
||
stations, lines, splays, x_min, x_max, y_min, y_max, x_ecart, y_ecart = parse_xvi_file(thNameXvi)
|
||
|
||
# df_stations = pd.DataFrame.from_dict(stations, orient='index')
|
||
df_lines = pd.DataFrame(lines, columns=["x1", "y1", "x2", "y2", "name1", "name2"])
|
||
df_splays = pd.DataFrame(splays, columns=["x1", "y1", "x2", "y2", "name1", "name2"]).drop_duplicates()
|
||
|
||
df_splays["is_zero_length"] = (df_splays["x1"] == df_splays["x2"]) & (df_splays["y1"] == df_splays["y2"])
|
||
|
||
|
||
# Identifier les groupes avec au moins un splay non nul
|
||
non_zero_groups = df_splays.loc[~df_splays["is_zero_length"], ["name1", "name2"]]
|
||
non_zero_group_keys = set(tuple(x) for x in non_zero_groups.to_numpy())
|
||
|
||
df_splays = df_splays[(~df_splays["is_zero_length"]) | df_splays[["name1", "name2"]].apply(tuple, axis=1).isin(non_zero_group_keys) ]
|
||
|
||
# Supprimer la colonne temporaire si elle existe
|
||
if "is_zero_length" in df_splays.columns:
|
||
df_splays = df_splays.drop(columns="is_zero_length")
|
||
|
||
th2_walls = []
|
||
|
||
if globalData.wallLineInTh2 :
|
||
th2_walls, x_min, x_max, y_min, y_max = wall_construction_smoothed(df_lines, df_splays, x_min, x_max, y_min, y_max)
|
||
|
||
|
||
if UPDATE:
|
||
th2_name = DEST_PATH + "/" + TH_NAME
|
||
else :
|
||
th2_name = DEST_PATH + "/Data/" + TH_NAME
|
||
|
||
output_path = f'{th2_name}-Plan.{FORMAT}'
|
||
|
||
scrap_to_add = int(len(stations)/globalData.stationByScrap)-1
|
||
|
||
# log.debug(stations)
|
||
|
||
log.info(f"Writing output to: {Colors.ENDC}{safe_relpath(output_path)}")
|
||
|
||
# Write TH2
|
||
if FORMAT == "th2":
|
||
seen = set()
|
||
th2_lines = []
|
||
th2_points = []
|
||
th2_names = []
|
||
other_scraps_plan = f"\tSP-{TARGET}_01\n\tbreak\n"
|
||
|
||
for line in lines:
|
||
th2_lines.append(globalData.th2Line.format(x1=line[0], y1=line[1], x2=line[2], y2=line[3]))
|
||
coords1 = "{}.{}".format(line[0], line[1])
|
||
|
||
if coords1 not in seen:
|
||
seen.add(coords1)
|
||
th2_points.append(globalData.th2Point.format(x=line[0], y=line[1], station=line[4]))
|
||
th2_names.append(globalData.th2Name.format(x=line[0], y=line[1], station=line[4]))
|
||
coords2 = "{}.{}".format(line[2], line[3])
|
||
|
||
if "{}.{}".format(line[2], line[3]) not in seen:
|
||
seen.add(coords2)
|
||
if line[5] != None:
|
||
th2_points.append(globalData.th2Point.format(x=line[2], y=line[3], station=line[5]))
|
||
th2_names.append(globalData.th2Name.format(x=line[2], y=line[3], station=line[5]))
|
||
|
||
|
||
if isfile(output_path):
|
||
log.warning(f"{Colors.ENDC}{os.path.basename(output_path)}{Colors.WARNING} file already exists - overwrite")
|
||
|
||
if True :
|
||
# name = TARGET,
|
||
log.debug(f"Therion output path: {Colors.ENDC}{safe_relpath(output_path)}")
|
||
|
||
with open(str(output_path), "w+") as f:
|
||
f.write(globalData.th2FileHeader)
|
||
f.write(globalData.th2File.format(
|
||
name = TARGET,
|
||
Copyright = globalData.Copyright,
|
||
Copyright_Short = globalData.CopyrightShort,
|
||
points="\n".join(th2_points),
|
||
lines="\n".join(th2_lines) if globalData.linesInTh2 else "",
|
||
walls="\n".join(th2_walls) if globalData.wallLineInTh2 else "",
|
||
names="\n".join(th2_names) if globalData.stationNamesInTh2 else "",
|
||
projection="plan",
|
||
projection_short="P",
|
||
author=globalData.Author,
|
||
year=datetime.now().year,
|
||
version = Version,
|
||
date=datetime.now().strftime("%Y.%m.%d-%H:%M:%S"),
|
||
X_Min=x_min*1.2,
|
||
X_Max=x_max*1.2,
|
||
Y_Min=y_min*1.2,
|
||
Y_Max=y_max*1.2,
|
||
X_Max_X_Min =x_ecart,
|
||
Y_Max_Y_Min =y_ecart,
|
||
insert_XVI = "{" + stations[next(iter(stations))][0] + "1 1.0} {"
|
||
+ stations[next(iter(stations))][1] + " "
|
||
+ stations[next(iter(stations))][2] +"} "
|
||
+ os.path.basename(thNameXvi) + " 0 {}",
|
||
)
|
||
)
|
||
if scrap_to_add >= 1 :
|
||
for i in range(scrap_to_add):
|
||
f.write(globalData.th2Scrap.format(
|
||
name=TARGET,
|
||
projection="plan",
|
||
projection_short="P",
|
||
author=globalData.Author,
|
||
year=datetime.now().year,
|
||
Copyright_Short = globalData.CopyrightShort,
|
||
num=f"{i+2:02}",
|
||
)
|
||
)
|
||
|
||
|
||
#################################################################################################
|
||
# Parse the Extended XVI file #
|
||
#################################################################################################
|
||
other_scraps_extended = ""
|
||
if PROJECTION.lower() == "extended" or PROJECTION.lower() == "all" and not flagErrorCompile :
|
||
if UPDATE:
|
||
thNameXvi = DEST_PATH + "/" + TH_NAME + "-Extended.xvi"
|
||
else :
|
||
thNameXvi = DEST_PATH + "/Data/" + TH_NAME + "-Extended.xvi"
|
||
|
||
log.info(f"Parsing extended XVI file: {Colors.ENDC}{safe_relpath(thNameXvi)}")
|
||
|
||
# Parse the Extended XVI file
|
||
stations = {}
|
||
lines = []
|
||
|
||
stations, lines, splays, x_min, x_max, y_min, y_max, x_ecart, y_ecart = parse_xvi_file(thNameXvi)
|
||
|
||
# df_stations = pd.DataFrame.from_dict(stations, orient='index')
|
||
df_lines = pd.DataFrame(lines, columns=["x1", "y1", "x2", "y2", "name1", "name2"])
|
||
df_splays = pd.DataFrame(splays, columns=["x1", "y1", "x2", "y2", "name1", "name2"]).drop_duplicates()
|
||
|
||
df_splays["is_zero_length"] = (df_splays["x1"] == df_splays["x2"]) & (df_splays["y1"] == df_splays["y2"])
|
||
|
||
# Identifier les groupes avec au moins un splay non nul
|
||
non_zero_groups = df_splays.loc[~df_splays["is_zero_length"], ["name1", "name2"]]
|
||
non_zero_group_keys = set(tuple(x) for x in non_zero_groups.to_numpy())
|
||
|
||
df_splays = df_splays[(~df_splays["is_zero_length"]) | df_splays[["name1", "name2"]].apply(tuple, axis=1).isin(non_zero_group_keys) ]
|
||
|
||
|
||
# Supprimer la colonne temporaire si elle existe
|
||
if "is_zero_length" in df_splays.columns:
|
||
df_splays = df_splays.drop(columns="is_zero_length")
|
||
|
||
th2_walls = []
|
||
|
||
if globalData.wallLineInTh2 :
|
||
th2_walls, x_min, x_max, y_min, y_max, = wall_construction_smoothed(df_lines, df_splays, x_min, x_max, y_min, y_max)
|
||
|
||
|
||
if UPDATE:
|
||
th2_name = DEST_PATH + "/" + TH_NAME
|
||
else :
|
||
th2_name = DEST_PATH + "/Data/" + TH_NAME
|
||
|
||
output_path = f'{th2_name}-Extended.{FORMAT}'
|
||
|
||
scrap_to_add = int(len(stations)/globalData.stationByScrap)-1
|
||
|
||
log.info(f"Writing output to: {Colors.ENDC}{safe_relpath(output_path)}")
|
||
|
||
# Write TH2
|
||
if FORMAT == "th2":
|
||
|
||
seen = set()
|
||
th2_lines = []
|
||
th2_points = []
|
||
th2_names = []
|
||
|
||
other_scraps_extended = f"\tSC-{TARGET}_01\n\tbreak\n"
|
||
|
||
for line in lines:
|
||
th2_lines.append(globalData.th2Line.format(x1=line[0], y1=line[1], x2=line[2], y2=line[3]))
|
||
coords1 = "{}.{}".format(line[0], line[1])
|
||
|
||
if coords1 not in seen:
|
||
seen.add(coords1)
|
||
th2_points.append(globalData.th2Point.format(x=line[0], y=line[1], station=line[4]))
|
||
th2_names.append(globalData.th2Name.format(x=line[0], y=line[1], station=line[4]))
|
||
coords2 = "{}.{}".format(line[2], line[3])
|
||
|
||
if "{}.{}".format(line[2], line[3]) not in seen:
|
||
seen.add(coords2)
|
||
if line[5] != None:
|
||
th2_points.append(globalData.th2Point.format(x=line[2], y=line[3], station=line[5]))
|
||
th2_names.append(globalData.th2Name.format(x=line[2], y=line[3], station=line[5]))
|
||
|
||
|
||
if isfile(output_path):
|
||
log.warning(f"{Colors.ENDC}{os.path.basename(output_path)}{Colors.WARNING} file already exists - overwrite")
|
||
|
||
if True :
|
||
log.debug(f"Therion output path :\t{Colors.ENDC}{output_path}")
|
||
|
||
with open(str(output_path), "w+") as f:
|
||
f.write(globalData.th2FileHeader)
|
||
f.write(globalData.th2File.format(
|
||
name = TARGET,
|
||
Copyright = globalData.Copyright,
|
||
Copyright_Short = globalData.CopyrightShort,
|
||
points="\n".join(th2_points),
|
||
lines="\n".join(th2_lines) if globalData.linesInTh2 else "",
|
||
walls="\n".join(th2_walls) if globalData.wallLineInTh2 else "",
|
||
names="\n".join(th2_names) if globalData.stationNamesInTh2 else "",
|
||
projection="extended",
|
||
projection_short="C",
|
||
author=globalData.Author,
|
||
year=datetime.now().year,
|
||
version = Version,
|
||
date=datetime.now().strftime("%Y.%m.%d-%H:%M:%S"),
|
||
X_Min=x_min*1.2,
|
||
X_Max=x_max*1.2,
|
||
Y_Min=y_min*1.2,
|
||
Y_Max=y_max*1.2,
|
||
X_Max_X_Min =x_ecart,
|
||
Y_Max_Y_Min =y_ecart,
|
||
insert_XVI = "{" + stations[next(iter(stations))][0] + "1 1.0} {"
|
||
+ stations[next(iter(stations))][1] + " "
|
||
+ stations[next(iter(stations))][2] +"} "
|
||
+ os.path.basename(thNameXvi) + " 0 {}",
|
||
)
|
||
)
|
||
if scrap_to_add >= 1 :
|
||
for i in range(scrap_to_add):
|
||
# other_scraps_extended = other_scraps_extended + f"\tSC-{TARGET[0]}_{i+2:02}\n\tbreak\n"
|
||
f.write(globalData.th2Scrap.format(
|
||
name=TARGET,
|
||
projection="extended",
|
||
projection_short="C",
|
||
author=globalData.Author,
|
||
Copyright_Short=globalData.CopyrightShort,
|
||
year=datetime.now().year,
|
||
num=f"{i+2:02}",
|
||
)
|
||
)
|
||
|
||
|
||
#################################################################################################
|
||
# Update -maps files #
|
||
#################################################################################################
|
||
if not UPDATE:
|
||
|
||
config_vars = {
|
||
'fileName': TH_NAME,
|
||
'caveName': TH_NAME.replace("_", " "),
|
||
'Author': globalData.Author,
|
||
'Copyright': globalData.Copyright,
|
||
'Scale' : SCALE,
|
||
'Target' : TARGET,
|
||
'mapComment' : globalData.mapComment,
|
||
'club' : globalData.club,
|
||
'thanksto' : globalData.thanksto,
|
||
'datat' : globalData.datat,
|
||
'wpage' : globalData.wpage,
|
||
'cs' : globalData.cs,
|
||
'maps' : maps,
|
||
'plan': plan,
|
||
'extended': extended,
|
||
'configPath' : CONFIG_PATH,
|
||
'other_scraps_plan' : other_scraps_plan,
|
||
'other_scraps_extended' : other_scraps_extended,
|
||
'file_info' : f"# File generated by pyCreateTh.py version {Version} date: {datetime.now().strftime("%Y.%m.%d-%H:%M:%S")}",
|
||
}
|
||
|
||
|
||
update_template_files(DEST_PATH + '/template-maps.th', config_vars, DEST_PATH + '/' + TH_NAME + '-maps.th')
|
||
|
||
|
||
#################################################################################################
|
||
# Final therion compilation #
|
||
#################################################################################################
|
||
if not UPDATE:
|
||
if globalData.finalTherionExe == True:
|
||
FILE = os.path.dirname(ENTRY_FILE) + "/" + TH_NAME + "/" + TH_NAME + ".thconfig"
|
||
# log.info(f"Final therion compilation: {Colors.ENDC}{safe_relpath(FILE)}")
|
||
if not flagErrorCompile :
|
||
t = compile_file(FILE, therion_path=globalData.therionPath)
|
||
threads.append(t)
|
||
|
||
return flagErrorCompile, stat, totReadMeError, threads
|
||
|
||
|
||
#################################################################################################
|
||
# lecture d'un fichier .mak #
|
||
#################################################################################################
|
||
def mak_to_th_file(ENTRY_FILE) :
|
||
"""Convertit un fichier .mak en fichier .th.
|
||
|
||
Args:
|
||
ENTRY_FILE (str): Le chemin vers le fichier .mak d'entrée.
|
||
|
||
Returns:
|
||
bool: True si la conversion a réussi, False sinon.
|
||
|
||
"""
|
||
|
||
# Liste des threads lancés
|
||
threads = []
|
||
|
||
_ConfigPath = "./../../"
|
||
shortCurentFile = safe_relpath(ENTRY_FILE)
|
||
|
||
totReadMeList = ""
|
||
totReadMeError = ""
|
||
totReadMeFixPoint = ""
|
||
|
||
|
||
|
||
datFiles = []
|
||
patternDat = re.compile(r'^#.*?\.dat[,;]$', re.IGNORECASE) # Motif insensible à la casse
|
||
|
||
fixPoints = []
|
||
patternFixPoints = re.compile(r'^([\w-]+)\[(m|f)\s*[, ]\s*(-?\d+\.?\d*)\s*[, ]\s*(-?\d+\.?\d*)\s*[, ]\s*(-?\d+\.?\d*)\]\s*[,;]?\s*(?:/.*)?$',re.IGNORECASE)
|
||
|
||
UTM = []
|
||
|
||
Datums = set() # Pour stocker les valeurs uniques trouvées
|
||
|
||
try:
|
||
with open(ENTRY_FILE, 'r') as file:
|
||
for line in file:
|
||
line = line.strip() # Supprime les espaces et sauts de ligne
|
||
if patternDat.match(line):
|
||
# Supprime le '#' au début et '.dat,' ou '.dat;' à la fin (insensible à la casse)
|
||
cleaned_entry = re.sub(r'^#|\.dat[,;]$', '', line, flags=re.IGNORECASE)
|
||
datFiles.append(cleaned_entry + ".DAT")
|
||
|
||
match = patternFixPoints.match(line)
|
||
|
||
if match:
|
||
name_point, mf, x, y, z = match.groups()
|
||
fixPoints.append([name_point, mf.lower(), float(x), float(y), float(z)])
|
||
|
||
if line.startswith('@') and line.endswith(';'):
|
||
parts = line[1:-1].split(',') # Supprime "@" et ";", puis découpe
|
||
if len(parts) >= 4:
|
||
UTM.append(int(parts[3]) if parts[3].isdigit() else parts[3])
|
||
|
||
if line.startswith('&') and line.endswith(';'):
|
||
# Extrait la valeur entre & et ;
|
||
Datum = line[1:-1].strip() # Supprime '&' et ';'
|
||
Datums.add(Datum)
|
||
|
||
except FileNotFoundError:
|
||
log.error(f"The mak file {Colors.ENDC}{ENTRY_FILE}{Colors.ERROR} dit not exist")
|
||
globalData.error_count += 1
|
||
|
||
except Exception as e:
|
||
log.error(f"An error occurred (readMakFile): {Colors.ENDC}{e}")
|
||
globalData.error_count += 1
|
||
|
||
|
||
# Vérification des valeurs
|
||
if len(Datums) > 1:
|
||
log.critical(f"Several different Datums found in {Colors.ENDC}{shortCurentFile}{Colors.CRITICAL}, case not handled! : {Colors.ENDC}{Datums}")
|
||
exit(0)
|
||
elif not Datums :
|
||
log.critical(f"no datum found in mak file : {Colors.ENDC}{shortCurentFile}")
|
||
exit(0)
|
||
elif not datFiles :
|
||
log.critical(f"No dat file found in mak file : {Colors.ENDC}{shortCurentFile}")
|
||
exit(0)
|
||
elif not fixPoints :
|
||
log.critical(f"No fix points found in mak file : {Colors.ENDC}{shortCurentFile}")
|
||
exit(0)
|
||
|
||
datum_lower = next(iter(Datums)).strip().lower().replace(" ","")
|
||
|
||
if datum_lower not in globalData.datumToEPSG:
|
||
log.critical(f"Unknown Datum : {datum_lower}")
|
||
exit(0)
|
||
|
||
# Extraction du numéro de zone UTM et de l'hémisphère (N/S)
|
||
if int(UTM[0]) >= 0 :
|
||
zone_num = int(UTM[0])
|
||
hemisphere = "N"
|
||
else :
|
||
zone_num = -int(UTM[0])
|
||
hemisphere = "S"
|
||
|
||
# print(zone_num)
|
||
|
||
# Vérification de la validité de la zone UTM (1-60)
|
||
if not 1 <= zone_num <= 60:
|
||
log.critical("The UTM zone must be between 1 and 60")
|
||
exit(0)
|
||
|
||
# Construction du code EPSG
|
||
epsg_prefix = globalData.datumToEPSG[datum_lower]
|
||
epsg_code = f"{epsg_prefix}{zone_num}" if hemisphere == "N" else f"{epsg_prefix}{zone_num + 100}"
|
||
|
||
# Génération du CRS QGIS (format WKT)
|
||
crs_wkt = f'EPSG:{epsg_code}'
|
||
|
||
|
||
log.info(f"Reading mak file: {Colors.ENDC}{shortCurentFile}{Colors.GREEN}, fixed station: {Colors.ENDC}{len(fixPoints)}{Colors.GREEN}, files: {Colors.ENDC}{len(datFiles)}{Colors.GREEN}, UTM Zone: {Colors.ENDC}{UTM[0]}{Colors.GREEN}, Datum: {Colors.ENDC}{next(iter(Datums))}{Colors.GREEN}, SCR: {Colors.ENDC}{crs_wkt}")
|
||
totReadMeFixPoint = f"* Source mak file: {os.path.basename(ENTRY_FILE)}, fixed station: {len(fixPoints)}, files: {len(datFiles)}, UTM Zone: {UTM[0]}, Datum: {next(iter(Datums))}, SCR: {crs_wkt}\n"
|
||
|
||
QtySections = 0
|
||
|
||
for file in datFiles :
|
||
ABS_file = os.path.dirname(abspath(args.file)) + "\\"+ file
|
||
content, val, encodage = load_text_file_utf8(ABS_file, os.path.basename(ABS_file))
|
||
section = content.split('\x0c')
|
||
QtySections += len(section)
|
||
|
||
|
||
SurveyTitleMak = sanitize_filename(os.path.basename(abspath(args.file))[:-4])
|
||
|
||
folderDest = os.path.dirname(abspath(args.file)) + "/" + SurveyTitleMak
|
||
|
||
copy_template_if_not_exists(globalData.templatePath,folderDest)
|
||
|
||
|
||
##############################################################################################
|
||
# Boucle pour lire les dat #
|
||
##############################################################################################
|
||
|
||
|
||
stationList = pd.DataFrame(columns=['StationName', 'Survey_Name_01', 'Survey_Name_02'])
|
||
totdata = f"\t## Input list:\n"
|
||
totMapsPlan = ""
|
||
totMapsExtended = ""
|
||
|
||
proj = args.proj.lower()
|
||
values = {
|
||
"none": ("# ", "# ", "# "),
|
||
"plan": ("", "", "# "),
|
||
"extended": ("", "# ", ""),
|
||
}
|
||
|
||
maps, plan, extended = values.get(proj, ("", "", ""))
|
||
|
||
with alive_bar(QtySections,
|
||
title=f"{Colors.GREEN}Surveys progress: {Colors.BLUE}",
|
||
length = 20,
|
||
enrich_print=False,
|
||
stats=True, # Désactive les stats par défaut pour plus de lisibilité
|
||
elapsed=True, # Optionnel : masque le temps écoulé
|
||
monitor=True, # Optionnel : masque les métriques (ex: "eta")
|
||
bar="smooth" # Style de la barre (autres options: "smooth", "classic", "blocks")
|
||
) as bar:
|
||
|
||
with redirect_stdout(sys.__stdout__):
|
||
for file in datFiles:
|
||
|
||
if globalData.error_count > 0:
|
||
bar.text(f"{Colors.INFO}file: {Colors.ENDC}{file[:-4]}{Colors.ERROR}, error: {Colors.ENDC}{globalData.error_count}")
|
||
else :
|
||
bar.text(f"{Colors.INFO}file: {Colors.ENDC}{file[:-4]}")
|
||
|
||
_file = os.path.dirname(abspath(args.file)) + "\\" + file
|
||
shutil.copy(_file, folderDest + "\\Data\\")
|
||
ABS_file = folderDest + "\\Data\\" + file
|
||
|
||
totReadMeError += f"* file: {file}\n"
|
||
totReadMeList += f"file: {file}\n"
|
||
|
||
Station, SurveyTitle, totReadMeError, thread2 = dat_to_th_files(ABS_file, fixPoints, crs_wkt, _ConfigPath, totReadMeError, bar)
|
||
|
||
threads += thread2
|
||
|
||
totdata += f"\tinput Data/{SurveyTitle}/{SurveyTitle}-tot.th\n"
|
||
totMapsPlan += f"\t{plan}MP-{SurveyTitle}-Plan-tot@{SurveyTitle}\n\t{plan}break\n"
|
||
totMapsExtended += f"\t{extended}MC-{SurveyTitle}-Extended-tot@{SurveyTitle}\n\t{extended}break\n"
|
||
|
||
if not Station.empty:
|
||
__stationList = pd.concat([stationList, Station], ignore_index=True)
|
||
__stationList.sort_values(by='Survey_Name_02', inplace=True, ignore_index=True)
|
||
stationList = __stationList.copy()
|
||
|
||
destination = os.path.join(folderDest, "Sources", os.path.basename(ABS_file))
|
||
if os.path.exists(destination):
|
||
os.remove(destination)
|
||
|
||
shutil.move(ABS_file, destination)
|
||
|
||
bar()
|
||
|
||
|
||
#################################################################################################
|
||
# Gestion des equates
|
||
#################################################################################################
|
||
|
||
totdata +=f"\n"
|
||
|
||
_stationList = stationList.copy()
|
||
|
||
_stationList["Survey_Name_01"] = _stationList["Survey_Name_01"] + "."+ _stationList["Survey_Name_01"]+ "." + _stationList["Survey_Name_02"]
|
||
# On numérote les doublons de Survey_Name pour chaque StationName
|
||
_stationList['Survey_Number'] = _stationList.groupby('StationName').cumcount() + 1
|
||
|
||
# print(_stationList)
|
||
|
||
# On pivote le tableau pour que chaque Survey_Name devienne une colonne
|
||
tableau_pivot = _stationList.pivot(index='StationName', columns='Survey_Number', values='Survey_Name_01')
|
||
|
||
tableau_pivot.columns = [f'Survey_Name_{i}' for i in tableau_pivot.columns]
|
||
|
||
# print(f"tableau_pivot : {Colors.ENDC}{tableau_pivot}{Colors.INFO} in {Colors.ENDC}{args.file}")
|
||
|
||
totdata +=f"\n\t## Equates list:\n"
|
||
|
||
if 'Survey_Name_2' in tableau_pivot.columns:
|
||
# On réinitialise l'index pour avoir StationName comme colonne normale
|
||
tableau_pivot = tableau_pivot.reset_index()
|
||
tableau_equate = tableau_pivot[tableau_pivot['Survey_Name_2'].notna()]
|
||
|
||
log.info(f"Total des 'equates' in mak file: {Colors.ENDC}{len(tableau_equate)}{Colors.INFO} in {Colors.ENDC}{safe_relpath(args.file)}")
|
||
# print(tableau_equate)
|
||
# print(f"fixPoints: {Colors.ENDC}{fixPoints}{Colors.INFO} in {Colors.ENDC}{args.file}")
|
||
|
||
# Pour chaque ligne du tableau
|
||
for _, row in tableau_equate.iterrows():
|
||
station = row['StationName']
|
||
|
||
# On récupère tous les Survey_Name non vides (NaN exclus)
|
||
surveys = [row[col] for col in tableau_equate.columns if col.startswith('Survey_Name') and pd.notna(row[col])]
|
||
|
||
# Pour chaque paire unique (i < j), on écrit la ligne 'equate'
|
||
for i in range(len(surveys)):
|
||
for j in range(i + 1, len(surveys)):
|
||
if surveys[i].split('.')[2] != surveys[j].split('.')[2]:
|
||
totdata +=f"\tequate {station}@{surveys[i]} {station}@{surveys[j]}\n"
|
||
# print(f"\tequate {station}@{surveys[i]} {station}@{surveys[j]}")
|
||
else:
|
||
log.info(f"No 'equats' found in {Colors.ENDC}{args.file}")
|
||
|
||
totdata +=f"\n\t## Maps list:\n\t{maps}input {SurveyTitleMak}-maps.th\n"
|
||
|
||
config_vars = {
|
||
'fileName': SurveyTitleMak,
|
||
'caveName': SurveyTitleMak.replace("_", " "),
|
||
'Author': globalData.Author,
|
||
'Copyright': globalData.Copyright,
|
||
'Scale' : args.scale,
|
||
'Target' : "TARGET",
|
||
'mapComment' : globalData.mapComment,
|
||
'club' : globalData.club,
|
||
'thanksto' : globalData.thanksto,
|
||
'datat' : globalData.datat,
|
||
'wpage' : globalData.wpage,
|
||
'cs' : crs_wkt,
|
||
'configPath' : " ",
|
||
'totData' : totdata,
|
||
'maps' : maps,
|
||
'plan': plan,
|
||
'extended': extended,
|
||
'XVIscale':globalData.XVIScale,
|
||
'other_scraps_plan' : totMapsPlan,
|
||
'other_scraps_extended' : totMapsExtended,
|
||
'readMeList' : totReadMeList,
|
||
'errorList' : totReadMeError,
|
||
'fixPointList' : totReadMeFixPoint,
|
||
'file_info' : f"# File generated by pyCreateTh.py version: {Version} date: {datetime.now().strftime("%Y.%m.%d-%H:%M:%S")}",
|
||
}
|
||
|
||
DEST_PATH = os.path.dirname(args.file) + '/' + SurveyTitleMak
|
||
|
||
update_template_files(DEST_PATH + '/template.thconfig', config_vars, DEST_PATH + '/' + SurveyTitleMak + '.thconfig')
|
||
update_template_files(DEST_PATH + '/template-tot.th', config_vars, DEST_PATH + '/' + SurveyTitleMak + '-tot.th')
|
||
update_template_files(DEST_PATH + '/template-maps.th', config_vars, DEST_PATH + '/' + SurveyTitleMak + '-maps.th')
|
||
update_template_files(DEST_PATH + '/template-readme.md', config_vars, DEST_PATH + '/' + SurveyTitleMak + '-readme.md')
|
||
|
||
#################################################################################################
|
||
# Final therion compilation #
|
||
#################################################################################################
|
||
|
||
if globalData.finalTherionExe == True:
|
||
FILE = DEST_PATH + '/' + SurveyTitleMak + '.thconfig'
|
||
t = compile_file(FILE, therion_path=globalData.therionPath)
|
||
threads.append(t)
|
||
|
||
return SurveyTitleMak, threads
|
||
|
||
|
||
#################################################################################################
|
||
def station_list(data, list, fixPoints, currentSurveyName) :
|
||
"""Crée une liste de stations à partir des données fournies.
|
||
|
||
Args:
|
||
data (DataFrame): Les données d'entrée contenant les informations sur les stations.
|
||
list (DataFrame): La liste des stations existantes.
|
||
fixPoints (list): Les points de fixation à considérer.
|
||
currentSurveyName (str): Le nom de l'enquête en cours.
|
||
|
||
Returns:
|
||
DataFrame: La liste mise à jour des stations.
|
||
|
||
"""
|
||
|
||
|
||
# Création d'un DataFrame à partir des données
|
||
rows1 = [line.split() for line in data['DATA']]
|
||
dfDATA = pd.DataFrame(rows1)
|
||
|
||
# stations = pd.concat([dfDATA.iloc[1:, 0], dfDATA.iloc[1:, 1]]).drop_duplicates().str.replace('[', '%').str.replace(']', '%%').str.replace('@', '_._')
|
||
|
||
stations = pd.concat([dfDATA.iloc[1:, 0], dfDATA.iloc[1:, 1]]).drop_duplicates().stationName()
|
||
|
||
fixed_names = {point[0] for point in fixPoints}
|
||
stations = stations[~stations.isin(fixed_names)]
|
||
|
||
new_entries = pd.DataFrame({
|
||
'StationName': stations,
|
||
'Survey_Name_01': currentSurveyName
|
||
})
|
||
|
||
list = pd.concat([list, new_entries], ignore_index=True)
|
||
|
||
return list, dfDATA
|
||
|
||
|
||
#################################################################################################
|
||
def formated_station_list(df, dataFormat, unit = "meter", shortCurentFile ="None") :
|
||
"""Formate une liste de stations à partir d'un DataFrame.
|
||
Args:
|
||
df (DataFrame): Le DataFrame contenant les données des stations.
|
||
dataFormat (str): Le format des données à utiliser pour le traitement.
|
||
unit (str): L'unité de mesure à utiliser (par défaut "meter").
|
||
shortCurentFile (str): Le nom du fichier en cours de traitement (pour les logs).
|
||
|
||
Returns:
|
||
DataFrame: Le DataFrame formaté avec les colonnes appropriées.
|
||
"""
|
||
|
||
|
||
# Remplacer les None/NaN par des espaces
|
||
df = df.fillna(" ")
|
||
|
||
|
||
# Conserver la première ligne (en-têtes) séparément
|
||
header_row = df.iloc[0]
|
||
|
||
# Traiter uniquement les lignes à partir de la deuxième (index 1)
|
||
df_data = df.iloc[1:].copy()
|
||
|
||
columns = dataFormat.split()
|
||
|
||
Koef = 0.3048 if unit == "length meter" else 1.0
|
||
|
||
if "length" in columns:
|
||
col_name = df_data.columns[columns.index("length") - 2]
|
||
df_data.iloc[:, col_name] = (df_data.iloc[:, col_name].astype(float) * Koef).apply(lambda x: f"{x:.2f}")
|
||
|
||
if "up" in columns:
|
||
col_name = df_data.columns[columns.index("up") - 2]
|
||
df_data[col_name] = pd.to_numeric(df_data[col_name], errors='coerce') * Koef
|
||
df_data[col_name] = df_data[col_name].apply(lambda x: "-" if pd.notna(x) and x < 0 else f"{x:.2f}" if pd.notna(x) else "")
|
||
|
||
if "down" in columns:
|
||
col_name = df_data.columns[columns.index("down") - 2]
|
||
df_data[col_name] = pd.to_numeric(df_data[col_name], errors='coerce') * Koef
|
||
df_data[col_name] = df_data[col_name].apply(lambda x: "-" if pd.notna(x) and x < 0 else f"{x:.2f}" if pd.notna(x) else "")
|
||
|
||
if "right" in columns:
|
||
col_name = df_data.columns[columns.index("right") - 2]
|
||
df_data[col_name] = pd.to_numeric(df_data[col_name], errors='coerce') * Koef
|
||
df_data[col_name] = df_data[col_name].apply(lambda x: "-" if pd.notna(x) and x < 0 else f"{x:.2f}" if pd.notna(x) else "")
|
||
|
||
if "left" in columns:
|
||
col_name = df_data.columns[columns.index("left") - 2]
|
||
df_data[col_name] = pd.to_numeric(df_data[col_name], errors='coerce') * Koef
|
||
df_data[col_name] = df_data[col_name].apply(lambda x: "-" if pd.notna(x) and x < 0 else f"{x:.2f}" if pd.notna(x) else "")
|
||
|
||
if "compass" in columns:
|
||
df_data.iloc[:, columns.index("compass")-2] = (df_data.iloc[:, columns.index("compass")-2].astype(float)).apply(lambda x: f"{x:.1f}")
|
||
|
||
if "clino" in columns:
|
||
df_data.iloc[:, columns.index("clino")-2] = (df_data.iloc[:, columns.index("clino")-2].astype(float)).apply(lambda x: f"{x:.1f}")
|
||
|
||
if "from" in columns:
|
||
df_data.iloc[:, columns.index("from")-2] = (df_data.iloc[:, columns.index("from")-2].astype(str).stationName())
|
||
|
||
if "to" in columns:
|
||
df_data.iloc[:, columns.index("to")-2] = (df_data.iloc[:, columns.index("to")-2].astype(str).stationName())
|
||
|
||
# Remplacer les NaN par des espaces après transformation
|
||
df_data = df_data.fillna(" ")
|
||
|
||
# Ajouter un '# ' au début de la colonne 9 (si non vide)
|
||
df_data.iloc[:, 9] = df_data.iloc[:, 9].apply(lambda x: f"# {x}" if str(x).strip() and str(x) != " " else x)
|
||
|
||
# Ajouter "_hab" à la colonne 2 si FROM == TO
|
||
df_data.iloc[:, 1] = df_data.apply(
|
||
lambda row: f"{row.iloc[1]}_hab" if str(row.iloc[0]).strip() == str(row.iloc[1]).strip() else row.iloc[1],
|
||
axis=1
|
||
)
|
||
|
||
# Gestion des flags surface et not surface
|
||
new_rows = []
|
||
|
||
for idx, row in df_data.iterrows():
|
||
col10 = str(row.iloc[9])
|
||
|
||
# Si la colonne 10 contient #|L# Exclude from Length
|
||
if "#|L#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "flags surface"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "flags not surface"
|
||
new_rows.append(not_surface_row)
|
||
|
||
# Si la colonne 10 contient #|S# type Spay (habillages)
|
||
elif "#|S#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "flags splay"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "flags not splay"
|
||
new_rows.append(not_surface_row)
|
||
|
||
# Si la colonne 10 contient #|X# total exclusion
|
||
elif "#|X#" in col10 or "#|XL#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "flags duplicate"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "flags not duplicate"
|
||
new_rows.append(not_surface_row)
|
||
log.warning(f"Flags '{Colors.ENDC}{col10}{Colors.WARNING}' not implemented in therion, line {Colors.ENDC}{idx+1}{Colors.WARNING} in {Colors.ENDC}{shortCurentFile}")
|
||
|
||
# Si la colonne 10 contient #|P# exclude from plotting
|
||
elif "#|P#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "# flags exclude from plot no implemented"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "# flags not exclude from plot no implemented"
|
||
new_rows.append(not_surface_row)
|
||
log.warning(f"Flags exclude from plot #|P# not implemented in therion, line {Colors.ENDC}{idx+1}{Colors.WARNING} in {Colors.ENDC}{shortCurentFile}")
|
||
|
||
# Si la colonne 10 contient #|C# exclude from closure
|
||
elif "#|C#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "# flags exclude from closure no implemented"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "# flags not exclude from closure no implemented"
|
||
new_rows.append(not_surface_row)
|
||
log.warning(f"Flags #|C# exclude from closure not implemented in therion, line {Colors.ENDC}{idx+1}{Colors.WARNING} in {Colors.ENDC}{shortCurentFile}")
|
||
|
||
# Si la colonne 10 contient #|PL# exclude from plotting and Length
|
||
elif "#|PL#" in col10 or "#|LP#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "flags duplicate"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "flags not duplicate"
|
||
new_rows.append(not_surface_row)
|
||
log.warning(f"Flags '{Colors.ENDC}{col10}{Colors.WARNING}' not implemented in therion, line {Colors.ENDC}{idx+1}{Colors.WARNING} in {Colors.ENDC}{shortCurentFile}")
|
||
|
||
# Si la colonne 10 contient #|LC# exclude from Length and Closure
|
||
elif "#|LC#" in col10 or "#|CL#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "flags duplicate"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "flags not duplicate"
|
||
new_rows.append(not_surface_row)
|
||
log.warning(f"Flags '{Colors.ENDC}{col10}{Colors.WARNING}' not implemented in therion, line {Colors.ENDC}{idx+1}{Colors.WARNING} in {Colors.ENDC}{shortCurentFile}")
|
||
|
||
# Si la colonne 10 contient #|PLC# exclude from plotting, closure and length
|
||
elif "#|PLC#" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "flags duplicate"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "flags not duplicate"
|
||
new_rows.append(not_surface_row)
|
||
|
||
elif "#|" in col10:
|
||
surface_row = [" "] * len(row)
|
||
surface_row[0] = "# flags unknown no implemented"
|
||
new_rows.append(surface_row)
|
||
|
||
new_rows.append(row.tolist())
|
||
|
||
not_surface_row = [" "] * len(row)
|
||
not_surface_row[0] = "# flags not unknown no implemented"
|
||
new_rows.append(not_surface_row)
|
||
log.error(f"Flags unknown '{Colors.ENDC}{col10}{Colors.WARNING}' not implemented, line {Colors.ENDC}{idx+1}{Colors.WARNING} in {Colors.ENDC}{shortCurentFile}")
|
||
globalData.error_count += 1
|
||
|
||
else:
|
||
new_rows.append(row.tolist())
|
||
|
||
prev_row = row # Garder trace de la ligne précédente
|
||
|
||
cleaned_rows = []
|
||
i = 0
|
||
while i < len(new_rows):
|
||
current = new_rows[i]
|
||
if (i + 1 < len(new_rows) and
|
||
str(current[0]).strip() == "flags not surface" and
|
||
str(new_rows[i + 1][0]).strip() == "flags surface"):
|
||
i += 2
|
||
elif (i + 1 < len(new_rows) and
|
||
str(current[0]).strip() == "flags not splay" and
|
||
str(new_rows[i + 1][0]).strip() == "flags splay"):
|
||
i += 2
|
||
elif (i + 1 < len(new_rows) and
|
||
str(current[0]).strip() == "flags not duplicate" and
|
||
str(new_rows[i + 1][0]).strip() == "flags duplicate"):
|
||
i += 2
|
||
elif (i + 1 < len(new_rows) and
|
||
str(current[0]).strip() == "# flags not exclude from closure no implemented" and
|
||
str(new_rows[i + 1][0]).strip() == "# flags exclude from closure no implemented"):
|
||
i += 2
|
||
elif (i + 1 < len(new_rows) and
|
||
str(current[0]).strip() == "# flags not exclude from plot no implemented" and
|
||
str(new_rows[i + 1][0]).strip() == "# flags exclude from plot no implemented"):
|
||
i += 2
|
||
elif (i + 1 < len(new_rows) and
|
||
str(current[0]).strip() == "# flags not unknown no implemented" and
|
||
str(new_rows[i + 1][0]).strip() == "# flags unknown no implemented"):
|
||
i += 2
|
||
else:
|
||
cleaned_rows.append(current)
|
||
i += 1
|
||
|
||
# Convertir les lignes en chaines formatées
|
||
output = []
|
||
|
||
# Ajouter la première ligne (en-têtes) telle quelle
|
||
header_str = "\t\t" + "\t".join(map(str, header_row))
|
||
output.append(header_str)
|
||
|
||
# Ajouter les autres lignes traitées
|
||
for row in cleaned_rows:
|
||
row_str = "\t\t"
|
||
flag = False
|
||
for i in row :
|
||
if str(i) == " " :
|
||
row_str += ""
|
||
elif str(i).startswith("#") or flag == True :
|
||
row_str += f" {str(i)}"
|
||
flag = True
|
||
else:
|
||
row_str += f"\t{str(i)}"
|
||
output.append(row_str)
|
||
|
||
return "\n".join(output)
|
||
|
||
|
||
#################################################################################################
|
||
def find_duplicates_by_date_and_team(data):
|
||
"""Finds duplicates in the data based on SURVEY_DATE and SURVEY_TEAM.
|
||
|
||
Args:
|
||
data (list): A list of dictionaries containing survey data.
|
||
|
||
Returns:
|
||
list: A list of dictionaries containing information about duplicates found.
|
||
|
||
"""
|
||
grouped = defaultdict(list)
|
||
|
||
# Étape 1 : regroupement par (SURVEY_DATE, SURVEY_TEAM)
|
||
for entry in data:
|
||
key = (entry['SURVEY_DATE'], entry['SURVEY_TEAM'])
|
||
grouped[key].append(entry)
|
||
|
||
duplicates = []
|
||
|
||
for key, entries in grouped.items():
|
||
if len(entries) < 2:
|
||
continue
|
||
|
||
# Construire un mapping ID -> stations
|
||
id_to_entry = {entry['ID']: entry for entry in entries}
|
||
id_to_stations = {entry['ID']: set(entry['STATION'].iloc[:, 0]) for entry in entries}
|
||
|
||
# Construire les connexions directes (graphe implicite)
|
||
adjacency = defaultdict(set)
|
||
ids = list(id_to_entry.keys())
|
||
|
||
for i in range(len(ids)):
|
||
for j in range(i + 1, len(ids)):
|
||
id_i, id_j = ids[i], ids[j]
|
||
if id_to_stations[id_i] & id_to_stations[id_j]: # intersection non vide
|
||
adjacency[id_i].add(id_j)
|
||
adjacency[id_j].add(id_i)
|
||
|
||
# Trouver les composantes connexes (DFS)
|
||
visited = set()
|
||
|
||
def dfs(node, component):
|
||
visited.add(node)
|
||
component.append(node)
|
||
for neighbor in adjacency[node]:
|
||
if neighbor not in visited:
|
||
dfs(neighbor, component)
|
||
|
||
for id_ in ids:
|
||
if id_ not in visited:
|
||
component = []
|
||
dfs(id_, component)
|
||
if len(component) > 1:
|
||
# Calcul des stations communes (fusion de toutes)
|
||
stations_union = set()
|
||
for i in range(len(component)):
|
||
for j in range(i + 1, len(component)):
|
||
common = id_to_stations[component[i]] & id_to_stations[component[j]]
|
||
stations_union.update(common)
|
||
|
||
duplicates.append({
|
||
'SURVEY_DATE': key[0],
|
||
'SURVEY_TEAM': key[1],
|
||
'IDS': sorted(component),
|
||
'COMMON_STATIONS': sorted(stations_union)
|
||
})
|
||
|
||
return duplicates
|
||
|
||
|
||
#################################################################################################
|
||
def find_duplicates_by_date(data):
|
||
"""Finds duplicates in the data based on SURVEY_DATE.
|
||
|
||
Args:
|
||
data (list): A list of dictionaries containing survey data.
|
||
|
||
Returns:
|
||
list: A list of dictionaries containing information about duplicates found.
|
||
"""
|
||
|
||
grouped = defaultdict(list)
|
||
|
||
# Étape 1 : regroupement uniquement par SURVEY_DATE
|
||
for entry in data:
|
||
key = entry['SURVEY_DATE']
|
||
grouped[key].append(entry)
|
||
|
||
duplicates = []
|
||
|
||
for survey_date, entries in grouped.items():
|
||
if len(entries) < 2:
|
||
continue
|
||
|
||
# Construire un mapping ID -> stations
|
||
id_to_entry = {entry['ID']: entry for entry in entries}
|
||
id_to_stations = {entry['ID']: set(entry['STATION'].iloc[:, 0]) for entry in entries}
|
||
|
||
# Construire les connexions directes (graphe implicite)
|
||
adjacency = defaultdict(set)
|
||
ids = list(id_to_entry.keys())
|
||
|
||
for i in range(len(ids)):
|
||
for j in range(i + 1, len(ids)):
|
||
id_i, id_j = ids[i], ids[j]
|
||
if id_to_stations[id_i] & id_to_stations[id_j]: # intersection non vide
|
||
adjacency[id_i].add(id_j)
|
||
adjacency[id_j].add(id_i)
|
||
|
||
# Trouver les composantes connexes (DFS)
|
||
visited = set()
|
||
|
||
def dfs(node, component):
|
||
visited.add(node)
|
||
component.append(node)
|
||
for neighbor in adjacency[node]:
|
||
if neighbor not in visited:
|
||
dfs(neighbor, component)
|
||
|
||
for id_ in ids:
|
||
if id_ not in visited:
|
||
component = []
|
||
dfs(id_, component)
|
||
if len(component) > 1:
|
||
# Calcul des stations communes (fusion de toutes)
|
||
stations_union = set()
|
||
for i in range(len(component)):
|
||
for j in range(i + 1, len(component)):
|
||
common = id_to_stations[component[i]] & id_to_stations[component[j]]
|
||
stations_union.update(common)
|
||
|
||
# Utiliser le SURVEY_TEAM de la première occurrence
|
||
first_entry = id_to_entry[component[0]]
|
||
|
||
duplicates.append({
|
||
'SURVEY_DATE': survey_date,
|
||
'SURVEY_TEAM': first_entry['SURVEY_TEAM'],
|
||
'IDS': sorted(component),
|
||
'COMMON_STATIONS': sorted(stations_union)
|
||
})
|
||
|
||
return duplicates
|
||
|
||
|
||
#################################################################################################
|
||
def points_uniques(data, crs_wkt):
|
||
"""Extrait les points uniques de la colonne 0 du DataFrame 'data' et les compare avec la colonne 1.
|
||
Exclut les points présents dans 'crs_wkt' si fourni.
|
||
|
||
Args:
|
||
data (DataFrame): Le DataFrame contenant les données.
|
||
crs_wkt (list, optional): Une liste de points à exclure.
|
||
|
||
Returns:
|
||
list: Une liste de points uniques.
|
||
"""
|
||
|
||
# Création d'un DataFrame à partir des lignes de données
|
||
rows = [line.split() for line in data['DATA']]
|
||
dfDATA = pd.DataFrame(rows)
|
||
|
||
# Extraction des colonnes 0 et 1, en ignorant la première ligne (souvent en-tête)
|
||
col0 = dfDATA.iloc[1:, 0]
|
||
col1 = dfDATA.iloc[1:, 1]
|
||
|
||
# Nettoyage des noms (remplacement des crochets)
|
||
col0_clean = col0.stationName()
|
||
col1_clean = col1.stationName()
|
||
|
||
# Exclure les points présents dans la colonne 1
|
||
uniques_col0 = col0_clean[~col0_clean.isin(col1_clean)]
|
||
|
||
# Supprimer les doublons
|
||
uniques_col0 = uniques_col0.drop_duplicates()
|
||
|
||
# Exclure les points présents dans la liste crs_wkt
|
||
if isinstance(crs_wkt, (set, list)):
|
||
uniques_col0 = uniques_col0[~uniques_col0.isin(crs_wkt)]
|
||
|
||
return uniques_col0.reset_index(drop=True).tolist()
|
||
|
||
|
||
#################################################################################################
|
||
def merge_duplicate_surveys(data, duplicates, id_offset=10000):
|
||
"""Merges duplicate survey entries into a single entry.
|
||
|
||
Args:
|
||
data (list): A list of dictionaries containing survey data.
|
||
duplicates (list): A list of dictionaries containing information about duplicates found.
|
||
id_offset (int, optional): An offset to apply to the IDs of merged entries. Defaults to 10000.
|
||
|
||
Returns:
|
||
list: A list of merged survey entries.
|
||
|
||
"""
|
||
|
||
|
||
id_to_entry = {entry['ID']: entry for entry in data}
|
||
merged_data = []
|
||
used_ids = set()
|
||
|
||
for i, group in enumerate(duplicates):
|
||
ids = group['IDS']
|
||
merged_entry = {
|
||
'ID': id_offset + i,
|
||
'SURVEY_TITLE': data[ids[0]]['SURVEY_TITLE'],
|
||
'SURVEY_NAME': None,
|
||
'SURVEY_DATE': group['SURVEY_DATE'],
|
||
'COMMENT': data[ids[0]]['COMMENT'],
|
||
'SURVEY_TEAM': group['SURVEY_TEAM'],
|
||
'DECLINATION': data[ids[0]]['DECLINATION'],
|
||
'FORMAT': data[ids[0]]['FORMAT'],
|
||
'CORRECTIONS': data[ids[0]]['CORRECTIONS'],
|
||
"CORRECTIONS2": data[ids[0]]['CORRECTIONS2'],
|
||
"DISCOVERY": data[ids[0]]['DISCOVERY'],
|
||
"PREFIX": data[ids[0]]['PREFIX'],
|
||
'DATA': [],
|
||
'STATION': [],
|
||
'SOURCE': []
|
||
}
|
||
|
||
# Liste des champs texte simples à hériter (on peut affiner selon stratégie souhaitée)
|
||
text_fields = ['SURVEY_TITLE', 'COMMENT', 'DECLINATION', 'FORMAT', 'CORRECTIONS']
|
||
|
||
# Regrouper les valeurs pour tous les champs à fusionner
|
||
text_values = {field: set() for field in text_fields}
|
||
survey_name_list = set()
|
||
source_set = set()
|
||
station_frames = []
|
||
|
||
first_data_line = True
|
||
|
||
for id_ in ids:
|
||
entry = id_to_entry[id_]
|
||
used_ids.add(id_)
|
||
|
||
for field in text_fields:
|
||
value = entry.get(field)
|
||
if value not in [None, '']:
|
||
text_values[field].add(value)
|
||
|
||
name = entry.get('SURVEY_NAME')
|
||
if name not in [None, '']:
|
||
survey_name_list.add(name)
|
||
|
||
data_lines = entry.get('DATA', [])
|
||
if data_lines:
|
||
if first_data_line:
|
||
merged_entry['DATA'].extend(data_lines)
|
||
first_data_line = False
|
||
else:
|
||
merged_entry['DATA'].extend(data_lines[1:]) # ignorer l'entête
|
||
|
||
sources = entry.get('SOURCE', [])
|
||
if isinstance(sources, str):
|
||
source_set.add(sources)
|
||
elif isinstance(sources, list):
|
||
source_set.update(sources)
|
||
|
||
if isinstance(entry['STATION'], pd.DataFrame):
|
||
station_frames.append(entry['STATION'])
|
||
|
||
# Affecter les valeurs texte (si une seule unique valeur, sinon None)
|
||
for field in text_fields:
|
||
if len(text_values[field]) == 1:
|
||
merged_entry[field] = next(iter(text_values[field]))
|
||
|
||
# Nouveau nom concaténé avec "_"
|
||
if survey_name_list:
|
||
sorted_names = sorted(survey_name_list)
|
||
full_name = "_".join(sorted_names)
|
||
if len(full_name) <= 40:
|
||
merged_entry['SURVEY_NAME'] = full_name
|
||
else:
|
||
# Tronquer au milieu
|
||
prefix = sorted_names[0]
|
||
suffix = sorted_names[-1]
|
||
connector = "_-_"
|
||
max_prefix_suffix_len = 50 - len(connector)
|
||
# On répartit équitablement entre début et fin (si possible)
|
||
half_len = max_prefix_suffix_len // 2
|
||
prefix = prefix[:half_len]
|
||
suffix = suffix[-(max_prefix_suffix_len - len(prefix)):]
|
||
merged_entry['SURVEY_NAME'] = prefix + connector + suffix
|
||
|
||
# Fusionner les DataFrames STATION
|
||
if station_frames:
|
||
merged_entry['STATION'] = pd.concat(station_frames, ignore_index=True)
|
||
|
||
merged_entry['SOURCE'] = "\n".join(sorted(source_set))
|
||
merged_data.append(merged_entry)
|
||
|
||
# Ajouter les entrées qui ne faisaient pas partie des doublons
|
||
for entry in data:
|
||
if entry['ID'] not in used_ids:
|
||
merged_data.append(deepcopy(entry))
|
||
|
||
return merged_data
|
||
|
||
|
||
#################################################################################################
|
||
def dat_survey_format_extract(section_data, headerData, currentSurveyName, fichier, totReadMeError):
|
||
"""Extracts and validates the format code from the section data.
|
||
|
||
Args:
|
||
section_data (dict): The section data containing survey information.
|
||
headerData (dict): The header data for the survey.
|
||
currentSurveyName (str): The name of the current survey.
|
||
fichier (str): The file being processed.
|
||
totReadMeError (str): A string to accumulate error messages.
|
||
|
||
Returns:
|
||
dataFormat (str), length (int), compass (str), clino (str), totReadMeError (str)
|
||
|
||
"""
|
||
|
||
if section_data['FORMAT'] is None or len(section_data['FORMAT']) < 11 or len(section_data['FORMAT']) > 15 :
|
||
log.error(f"Error in format code {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}")
|
||
log.debug(f"Error in format code SURVEY_NAME {Colors.ENDC}{section_data['SURVEY_NAME']}")
|
||
log.debug(f"Error in format code SURVEY_DATE {Colors.ENDC}{section_data['SURVEY_DATE']}")
|
||
log.debug(f"SURVEY TITLE: {Colors.ENDC}{section_data['SURVEY_TITLE']}")
|
||
log.debug(f"COMMENT: {Colors.ENDC}{section_data['COMMENT']}")
|
||
log.debug(f"SURVEY TEAM: {Colors.ENDC}{section_data['SURVEY_TEAM']}")
|
||
log.debug(f"DECLINATION: {Colors.ENDC}{section_data['DECLINATION']}")
|
||
log.debug(f"FORMAT: {Colors.ENDC}{section_data['FORMAT']}")
|
||
log.debug(f"CORRECTIONS: {Colors.ENDC}{section_data['CORRECTIONS']}")
|
||
log.debug(f"DATA: {Colors.ENDC}{(section_data['DATA'])}")
|
||
log.debug(f"DATA Qté: {Colors.ENDC}{len(section_data['DATA'])}")
|
||
log.debug(f"STATION: {Colors.ENDC}{(section_data['STATION'])}")
|
||
log.debug(f"SOURCE: {Colors.ENDC}{section_data['SOURCE']}\n")
|
||
globalData.error_count += 1
|
||
totReadMeError += f"\tError in format code {section_data['FORMAT']} in {currentSurveyName}\n"
|
||
|
||
def Dimension(string="") :
|
||
directions = {'U': " up", 'D': " down", 'R': " right", 'L': " left"}
|
||
if string in directions:
|
||
return directions[string]
|
||
else:
|
||
log.error(f"Error in format str {Colors.ENDC}{string}{Colors.ERROR} code {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{fichier}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tError in format str {string} code {section_data['FORMAT']} in {fichier} in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
return ""
|
||
|
||
def LRUD_association(string="") :
|
||
# In Therion the standard LRUD association is the shot and not the station
|
||
# LRUD Association: F=From Station, T=To Station
|
||
if string == 'F' : return ""
|
||
elif string == 'T' : return ""
|
||
else :
|
||
log.error(f"Error in format str {Colors.ENDC}{string}{Colors.ERROR} code {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{fichier}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tError in format str {string} code {section_data['FORMAT']} in {fichier} in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
return ""
|
||
|
||
def Backsight(string="") : # Backsight: B=Redundant, N or empty=No Redundant Backsights.
|
||
if string == 'B' :
|
||
log.error(f"Backsight unit not yet implemented {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tBacksight unit not yet implemented {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
return ""
|
||
elif string == 'N' : return ""
|
||
else :
|
||
log.error(f"Error in format str {Colors.ENDC}{string}{Colors.ERROR} code {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{fichier}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tError in format str {string} code {section_data['FORMAT']} in {fichier} in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
return ""
|
||
|
||
def ShotOrder(string="") :
|
||
if string == 'L' : return " length"
|
||
elif string == 'A' : return " compass"
|
||
elif string == 'D' :
|
||
if clino == 'depth feet' : return " depthchange"
|
||
else : return " clino"
|
||
elif string == 'a' : return " backcompass"
|
||
elif string == 'd' : return " backclino"
|
||
else :
|
||
log.error(f"Error in format str {Colors.ENDC}{string}{Colors.ERROR} code {Colors.ENDC}{section_data['FORMAT']}{Colors.ERROR} in {Colors.ENDC}{fichier}{Colors.ERROR} in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tError in format str {string} code {section_data['FORMAT']} in {fichier} in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
return ""
|
||
|
||
type_Data = "normal"
|
||
|
||
################################################ Section Units 0-3 ###############################################
|
||
if section_data['FORMAT'][0] == 'D' : compass = 'compass degree'
|
||
elif section_data['FORMAT'][0] == 'R' : compass = 'compass grads'
|
||
else :
|
||
compass = 'Compass_error'
|
||
log.error(f"Compass bearing unit 'quads' not yet implemented in {Colors.ENDC}{currentSurveyName}")
|
||
globalData.error_count += 1
|
||
totReadMeError += f"\tCompass bearing unit 'quads' not yet implemented in survey {currentSurveyName}\n"
|
||
|
||
if section_data['FORMAT'][1] == 'D' : length = 'length feet'
|
||
elif section_data['FORMAT'][1] == 'M' : length = 'length meter'
|
||
else :
|
||
length = 'Length_error'
|
||
log.error(f"Length unit 'Feet and Inches' not yet implemented in {Colors.ENDC}{currentSurveyName}")
|
||
globalData.error_count += 1
|
||
totReadMeError += f"\tLength unit 'Feet and Inches' not yet implemented in {currentSurveyName}\n"
|
||
|
||
|
||
if section_data['FORMAT'][3] == 'D' : clino = 'clino degree'
|
||
elif section_data['FORMAT'][3] == 'R' : clino = 'clino grads'
|
||
# elif section_data['FORMAT'][3] == 'G' : clino = 'percent' # %Grades à vérifier?
|
||
# elif section_data['FORMAT'][3] == 'M' : clino = 'grads' # Degrees and Minutes
|
||
elif section_data['FORMAT'][3] == 'W' :
|
||
clino = 'clino degree' # Depth Gauge
|
||
type_Data = "normal" # Depth Gauge
|
||
else :
|
||
clino = 'Inclination_error'
|
||
log.error(f"Inclination unit not yet implemented in {Colors.ENDC}{currentSurveyName}")
|
||
globalData.error_count += 1
|
||
totReadMeError += f"\tInclination unit not yet implemented in {currentSurveyName}\n"
|
||
|
||
################################################ Section dimensions 4-7 ###############################################
|
||
dataFormat = " " + headerData[5].lower()
|
||
dataFormat += " " + headerData[6].lower()
|
||
dataFormat += " " + headerData[7].lower()
|
||
dataFormat += " " + headerData[8].lower()
|
||
|
||
################################################ Section Shot 8-11 ou 13 ###############################################
|
||
if len(section_data['FORMAT']) == 11 or len(section_data['FORMAT']) == 12 or len(section_data['FORMAT']) == 13:
|
||
if len(section_data['FORMAT']) == 13 : # UUUUDDDDSSSBL
|
||
dataFormat = LRUD_association(section_data['FORMAT'][12]) + dataFormat
|
||
dataFormat = Backsight(section_data['FORMAT'][11]) + dataFormat # UUUUDDDDSSSB
|
||
elif len(section_data['FORMAT']) == 12 : dataFormat = Backsight(section_data['FORMAT'][11]) + dataFormat
|
||
dataFormat = ShotOrder(section_data['FORMAT'][10]) + dataFormat
|
||
dataFormat = ShotOrder(section_data['FORMAT'][9]) + dataFormat
|
||
dataFormat = ShotOrder(section_data['FORMAT'][8]) + dataFormat
|
||
|
||
elif len(section_data['FORMAT']) == 15 : # UUUUDDDDSSSSSBL
|
||
dataFormat = LRUD_association(section_data['FORMAT'][14]) + dataFormat
|
||
dataFormat = Backsight(section_data['FORMAT'][13]) + dataFormat
|
||
dataFormat = ShotOrder(section_data['FORMAT'][11]) + dataFormat
|
||
dataFormat = ShotOrder(section_data['FORMAT'][9]) + dataFormat
|
||
dataFormat = ShotOrder(section_data['FORMAT'][8]) + dataFormat
|
||
|
||
################################################ Section Shot 8-11 ou 13 ###############################################
|
||
|
||
|
||
dataFormat = "data " + type_Data + " from to" + dataFormat + " # comment"
|
||
|
||
return dataFormat, length, compass, clino, totReadMeError
|
||
|
||
|
||
#################################################################################################
|
||
def load_text_file_utf8(filepath, short_filename):
|
||
"""Loads a text file with various encodings and converts it to UTF-8.
|
||
|
||
Args:
|
||
filepath (str): The path to the file to be loaded.
|
||
short_filename (str): The name of the file (for logging purposes).
|
||
|
||
Returns:
|
||
tuple: A tuple containing the file content, a log message, and the encoding used.
|
||
"""
|
||
|
||
encodings_to_try = [
|
||
'utf-8-sig', # UTF-8 avec BOM
|
||
'utf-8', # UTF-8 standard
|
||
'windows-1252', # ANSI Windows Europe de l’Ouest
|
||
'iso-8859-15', # ISO-8859-15 (latin9), remplace iso-8859-1 (latin1)
|
||
'iso-8859-1',
|
||
]
|
||
|
||
for enc in encodings_to_try:
|
||
try:
|
||
with open(filepath, 'r', encoding=enc) as f:
|
||
content = f.read()
|
||
log.info(f"Source file: {Colors.ENDC}{short_filename}{Colors.GREEN}, encoding: {Colors.ENDC}{enc}{Colors.GREEN}, conversion to {Colors.ENDC}utf-8")
|
||
message = f"* Source file: {short_filename}, encoding: {enc}, conversion to utf-8\n"
|
||
return content, message, enc
|
||
|
||
except UnicodeDecodeError as e:
|
||
log.debug(f"Failed {Colors.ENDC}{enc}{Colors.DEBUG} for {Colors.ENDC}{short_filename}{Colors.DEBUG}: {Colors.ENDC}{e}")
|
||
continue
|
||
|
||
except Exception as e:
|
||
log.critical(f"Unexpected error while reading {Colors.ENDC}{short_filename}{Colors.CRITICAL}: {e}")
|
||
exit(0)
|
||
return None, "", None
|
||
|
||
# Dernier recours : lecture binaire + forçage
|
||
try:
|
||
with open(filepath, 'rb') as f:
|
||
raw = f.read()
|
||
content = raw.decode('windows-1252', errors='replace')
|
||
log.warning(f"Force-reading {Colors.ENDC}{short_filename}{Colors.WARNING} with character replacement (windows-1252)")
|
||
message = f"* Force-reading source file: {short_filename} with character replacement (windows-1252)\n"
|
||
return content, message, 'windows-1252'
|
||
|
||
except Exception as e:
|
||
log.critical(f"Failed to read file {Colors.ENDC}{short_filename}{Colors.CRITICAL}: {Colors.ENDC}{e}")
|
||
exit(0)
|
||
return None, "", None
|
||
|
||
|
||
#################################################################################################
|
||
# Création des dossiers Th à partir d'un dat #
|
||
#################################################################################################
|
||
def dat_to_th_files (ENTRY_FILE, fixPoints = [], crs_wkt = "", CONFIG_PATH = "", totReadMeError = "", bar=None) :
|
||
"""
|
||
Convertit un fichier .dat en fichiers .th.
|
||
|
||
Args:
|
||
ENTRY_FILE (str): Le chemin vers le fichier .dat d'entrée.
|
||
fixPoints (list, optional): Liste des points de fixation. Defaults to [].
|
||
crs_wkt (str, optional): Le système de référence spatiale en WKT. Defaults to "".
|
||
CONFIG_PATH (str, optional): Le chemin vers le fichier de configuration. Defaults to "".
|
||
|
||
Returns:
|
||
tuple: Un tuple contenant un DataFrame des stations et le nom du survey.
|
||
|
||
"""
|
||
|
||
|
||
# Détecter la fin de section (FF CR LF qui correspond à \x0c\r\n)
|
||
section_separator = '\x0c'
|
||
shortCurentFile = os.path.basename(ENTRY_FILE)
|
||
|
||
|
||
#################################################################################################
|
||
# 1 : Lecture du fichier dat #
|
||
#################################################################################################
|
||
|
||
content, totReadMe, enc = load_text_file_utf8(ENTRY_FILE, shortCurentFile)
|
||
|
||
#################################################################################################
|
||
# Séparer les sections #
|
||
#################################################################################################
|
||
sections = content.split(section_separator)
|
||
|
||
# Listes pour stocker les données
|
||
data = []
|
||
unique_id = 1
|
||
totdata = f"\t## Input list:\n"
|
||
totMapsPlan = ""
|
||
totMapsExtended = ""
|
||
totReadMeErrorDat = ""
|
||
totReadMeFixPoint = f"cs {crs_wkt}\n"
|
||
threads = []
|
||
|
||
# Tableau global pour stocker toutes les stations
|
||
stationList = pd.DataFrame(columns=['StationName', 'Survey_Name_01', 'Survey_Name_02'])
|
||
|
||
section0 = True;
|
||
|
||
#################################################################################################
|
||
# 2 : Boucle pour lire les surveys au format dat #
|
||
#################################################################################################
|
||
for section in sections:
|
||
|
||
listStationSection = pd.DataFrame(columns=['StationName', 'Survey_Name'])
|
||
|
||
if not section.strip():
|
||
continue # ignorer les sections vides
|
||
|
||
# Dictionnaire pour stocker les infos de la section courante
|
||
section_data = {
|
||
'ID': unique_id,
|
||
'SURVEY_TITLE': None,
|
||
'SURVEY_NAME': None,
|
||
'SURVEY_DATE': None,
|
||
'COMMENT' : None,
|
||
'SURVEY_TEAM': None,
|
||
'DECLINATION': None,
|
||
'FORMAT': None,
|
||
'CORRECTIONS' : None,
|
||
"CORRECTIONS2": None,
|
||
"DISCOVERY": None,
|
||
"PREFIX": None,
|
||
'DATA' : [],
|
||
'STATION': [],
|
||
'SOURCE' : []
|
||
}
|
||
|
||
regex_patterns = {
|
||
"DECLINATION": r"DECLINATION:\s*([\d\.\-]+)",
|
||
"FORMAT": r"FORMAT:\s*([A-Za-z]+)",
|
||
"CORRECTIONS": r"CORRECTIONS:\s*([\d\.\-]+\s+[\d\.\-]+\s+[\d\.\-]+)",
|
||
"CORRECTIONS2": r"CORRECTIONS2:\s*([\d\.\-]+\s+[\d\.\-]+)",
|
||
"DISCOVERY": r"DISCOVERY:\s*(\d+\s+\d+\s+\d+)",
|
||
"PREFIX": r"PREFIX:\s*(\S+)"
|
||
}
|
||
|
||
# Parcourir les lignes de la section
|
||
lines = section.split('\n')
|
||
|
||
section_data['SOURCE'] = section
|
||
|
||
NextLineSurveyTeam = False
|
||
|
||
if lines:
|
||
if section0 :
|
||
section_data['SURVEY_TITLE'] = lines[0].strip()
|
||
lines = lines[1:] # Supprimer la première ligne
|
||
section0 = False
|
||
else :
|
||
lines = lines[1:]
|
||
section_data['SURVEY_TITLE'] = lines[0].strip()
|
||
lines = lines[1:] # Supprimer la première ligne
|
||
|
||
jumpLine = False
|
||
|
||
for line in lines:
|
||
line = line.strip()
|
||
if jumpLine == True :
|
||
jumpLine = False
|
||
line = line.strip()
|
||
elif line.startswith('SURVEY NAME:'):
|
||
section_data['SURVEY_NAME'] = sanitize_filename(line.split(':', 1)[1].strip())
|
||
elif line.startswith('SURVEY DATE:'):
|
||
# current_field = 'DATE'
|
||
# Séparer la date et le commentaire
|
||
date_parts = line.split(':', 1)[1].strip().split('COMMENT:', 1)
|
||
date = date_parts[0].strip()
|
||
mois, jour, annee = date.split()
|
||
date_convertie = f"{int(annee):04d} {int(mois):02d} {int(jour):02d}"
|
||
section_data['SURVEY_DATE'] = date_convertie
|
||
if section_data['SURVEY_DATE'] == None or section_data['SURVEY_DATE'] == '' :
|
||
section_data['SURVEY_DATE'] = "2000 01 01"
|
||
log.warning(f"Survey {Colors.ENDC}{section_data['SURVEY_NAME']}{Colors.WARNING} with no date, add default date 2000 01 01 ")
|
||
if len(date_parts) > 1:
|
||
section_data['COMMENT'] = date_parts[1].strip()
|
||
elif line.startswith('SURVEY TEAM:'):
|
||
NextLineSurveyTeam = True
|
||
line.strip()
|
||
elif NextLineSurveyTeam == True :
|
||
NextLineSurveyTeam = False
|
||
section_data['SURVEY_TEAM'] = line.strip()
|
||
elif line.startswith('DECLINATION:'):
|
||
for champ, pattern in regex_patterns.items():
|
||
match = re.search(pattern, line)
|
||
if match:
|
||
section_data[champ] = match.group(1).strip()
|
||
jumpLine = True # Sauter une ligne après la ligne DECLINATION
|
||
|
||
|
||
else :
|
||
if line.strip() != '' :
|
||
section_data['DATA'].append(line.strip())
|
||
else :
|
||
line.strip()
|
||
|
||
# Ajouter les données de la section à la liste
|
||
if len(section_data['DATA']) > 0 :
|
||
listStationSection, dfDATA = station_list(section_data, listStationSection, fixPoints, section_data['SURVEY_NAME'])
|
||
section_data['STATION'] = listStationSection
|
||
data.append(section_data)
|
||
unique_id += 1
|
||
|
||
|
||
#################################################################################################
|
||
# Détecter les surveys avec plusieurs points de départ #
|
||
#################################################################################################
|
||
|
||
# points = points_uniques(section_data, crs_wkt)
|
||
|
||
# if len(points) > 1 :
|
||
# log.warning(f"Points {Colors.ENDC}{points}{Colors.WARNING} uniques dans la section {Colors.ENDC}{section_data['SURVEY_NAME']}")
|
||
# # globalData.error_count += 1
|
||
|
||
# else :
|
||
# log.debug(f"Points {Colors.ENDC}{points}{Colors.DEBUG} uniques dans la section {section_data['SURVEY_NAME']}")
|
||
|
||
|
||
#################################################################################################
|
||
# Grouper les sections ayant même date team et un point commun #
|
||
#################################################################################################
|
||
val1 = len(data)
|
||
|
||
# duplicates = find_duplicates_by_date_and_team(data)
|
||
duplicates = find_duplicates_by_date(data)
|
||
|
||
data = merge_duplicate_surveys(data, duplicates)
|
||
|
||
val2 = val1 - len(data)
|
||
|
||
if val2 != 0 :
|
||
log.info(f"Read dat file: {Colors.ENDC}{shortCurentFile}{Colors.INFO} with {Colors.ENDC}{len(data)}{Colors.GREEN}{Colors.INFO} survey(s) and merged {Colors.ENDC}{val2}")
|
||
bar(val2)
|
||
else :
|
||
log.info(f"Read dat file: {Colors.ENDC}{shortCurentFile}{Colors.INFO} with {Colors.ENDC}{len(data)}{Colors.INFO} survey(s)")
|
||
|
||
|
||
#################################################################################################
|
||
# Créer le dossier pour les fichiers convertis #
|
||
#################################################################################################
|
||
|
||
if data[0]['SURVEY_TITLE'] !="" :
|
||
SurveyTitle = sanitize_filename(data[0]['SURVEY_TITLE'])
|
||
folderDest = os.path.dirname(ENTRY_FILE) + "\\" + SurveyTitle
|
||
if os.path.isdir(folderDest):
|
||
SurveyTitle = sanitize_filename(os.path.basename(ENTRY_FILE[:-4]))
|
||
else :
|
||
SurveyTitle = sanitize_filename(os.path.basename(ENTRY_FILE[:-4]))
|
||
|
||
folderDest = os.path.dirname(ENTRY_FILE) + "\\" + SurveyTitle
|
||
|
||
copy_template_if_not_exists(globalData.templatePath,folderDest)
|
||
|
||
if args.file[-3:].lower() != "dat" :
|
||
_destination = folderDest + "\\config.thc"
|
||
# print(f"destination_path : {_destination}")
|
||
os.remove(_destination)
|
||
|
||
# Trie des données par date
|
||
data = sorted(data, key=lambda x: x['SURVEY_DATE'] or "")
|
||
|
||
#################################################################################################
|
||
# 3 : Boucle pour créer les surveys au format th #
|
||
#################################################################################################
|
||
|
||
surveyCount = 1
|
||
|
||
# totReadMe += f"* Source file: {os.path.basename(ENTRY_FILE)}\n"
|
||
|
||
proj = args.proj.lower()
|
||
values = {
|
||
"none": ("# ", "# ", "# "),
|
||
"plan": ("", "", "# "),
|
||
"extended": ("", "# ", ""),
|
||
}
|
||
|
||
maps, plan, extended = values.get(proj, ("", "", ""))
|
||
|
||
for _line in data :
|
||
|
||
# currentSurveyName = f"{globalData.typeSurveyName}{surveyCount:02d}"
|
||
# currentSurveyName = f"{globalData.typeSurveyName}{surveyCount:02d}_{sanitize_filename(_line['SURVEY_NAME'])}"
|
||
currentSurveyName = f"{globalData.SurveyPrefixName}{surveyCount:02d}_{sanitize_filename(_line['SURVEY_DATE'])}"
|
||
|
||
output_file = f"{folderDest}\\Data\\{currentSurveyName}.th"
|
||
|
||
#################################################################################################
|
||
# gestion des CORRECTIONS #
|
||
#################################################################################################
|
||
|
||
_CorrectionValues = [float(val) for val in _line['CORRECTIONS'].strip().split()]
|
||
|
||
if all(val == 0.0 for val in _CorrectionValues) :
|
||
_corrections = ""
|
||
else :
|
||
_corrections = f"\t\t# Corrections: {_CorrectionValues[0]} {_CorrectionValues[1]} {_CorrectionValues[2]}, not yet implemented\n"
|
||
log.error(f"Corrections: {Colors.ENDC}{_CorrectionValues[0]} {_CorrectionValues[1]} {_CorrectionValues[2]}{Colors.ERROR}, not yet implemented in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tCorrections: {_CorrectionValues[0]} {_CorrectionValues[1]} {_CorrectionValues[2]}, not yet implemented in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
|
||
if _line['CORRECTIONS2'] != None :
|
||
_CorrectionValues3 = [float(val) for val in _line['CORRECTIONS2'].strip().split()]
|
||
if all(val == 0.0 for val in _CorrectionValues) :
|
||
_CorrectionValues3 = ""
|
||
else :
|
||
log.error(f"Corrections2: {Colors.ENDC}{_CorrectionValues[0]} {_CorrectionValues[1]} {_CorrectionValues[2]}{Colors.ERROR}, not yet implemented in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tCorrections2: {_CorrectionValues[0]} {_CorrectionValues[1]} {_CorrectionValues[2]}, not yet implemented in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
|
||
if _line['DISCOVERY'] != None :
|
||
date = _line['DISCOVERY'].strip()
|
||
mois, jour, annee = date.split()
|
||
discovery = f"{int(annee):04d} {int(mois):02d} {int(jour):02d}"
|
||
else :
|
||
discovery = f"{_line['SURVEY_DATE']} # '????'"
|
||
|
||
if _line['PREFIX'] != None :
|
||
log.error(f"PREFIX: {Colors.ENDC}{_line['PREFIX']}, not yet implemented in {Colors.ENDC}{currentSurveyName}")
|
||
totReadMeError += f"\tPREFIX: {_line['PREFIX']}, not yet implemented in {currentSurveyName}\n"
|
||
globalData.error_count += 1
|
||
|
||
SurveyNameCount = {
|
||
'surveyCount' :f"{currentSurveyName}",
|
||
'SURVEY_NAME': _line['SURVEY_NAME']
|
||
}
|
||
|
||
|
||
|
||
#################################################################################################
|
||
# gestion des DATA #
|
||
#################################################################################################
|
||
|
||
stationList, dfDATA = station_list(_line, stationList, fixPoints, currentSurveyName)
|
||
|
||
headerData = dfDATA.iloc[0].tolist()
|
||
|
||
#################################################################################################
|
||
# Recherche des points fixes (entrées)
|
||
#################################################################################################
|
||
|
||
fixPoint =""
|
||
|
||
# Extraire les noms des stations depuis dfDATA
|
||
stations_from = set(dfDATA.iloc[:, 0]) # Colonne 'FROM'
|
||
stations_to = set(dfDATA.iloc[:, 1]) # Colonne 'TO'
|
||
all_stations = stations_from.union(stations_to)
|
||
|
||
# Filtrer fixPoints pour garder seulement ceux présents dans dfDATA
|
||
list_common_points = [point for point in fixPoints if point[0] in all_stations]
|
||
|
||
# Afficher le résultat
|
||
# print(list_common_points)
|
||
|
||
if len(list_common_points) >= 1 :
|
||
fixPoint += f"\t\tcs {crs_wkt}\n"
|
||
for point in list_common_points :
|
||
totReadMeFixPoint += f"\tFix point: {point[0]} [{point[2]:.3f} m, {point[3]:.3f} m, {point[4]:.3f} m], in {currentSurveyName}\n"
|
||
if point[1] == 'm' :
|
||
fixPoint += f"\t\tfix {point[0]} {point[2]:.3f} {point[3]:.3f} {point[4]:.3f}\n"
|
||
elif point[1] == 'f' :
|
||
fixPoint += f"\t\tfix {point[0]} {point[2]*0.3048:.3f} {point[3]*0.3048:.3f} {point[4]*0.3048:.3f} # Conversion feet - meter\n"
|
||
fixPoint += f'\t\tstation {point[0]} "{point[0]}" entrance\n'
|
||
|
||
|
||
#################################################################################################
|
||
# Gestion des formats
|
||
#################################################################################################
|
||
|
||
dataFormat, length, compass, clino, totReadMeErrorDat = dat_survey_format_extract(_line, headerData, currentSurveyName, shortCurentFile, totReadMeErrorDat)
|
||
|
||
if "grads" in compass:
|
||
_compass = "grads"
|
||
else:
|
||
_compass = "degree"
|
||
|
||
#################################################################################################
|
||
# Gestion des formats
|
||
#################################################################################################
|
||
|
||
with open(str(output_file), "w+", encoding="utf-8") as f:
|
||
f.write(globalData.thFileDat.format(
|
||
VERSION = Version,
|
||
DATE=datetime.now().strftime("%Y.%m.%d-%H:%M:%S"),
|
||
# SURVEY_NAME = sanitize_filename(_line['SURVEY_NAME']),
|
||
SURVEY_NAME = f"{currentSurveyName}",
|
||
SURVEY_TITLE = _line['SURVEY_NAME'].replace("_", " "),
|
||
SURVEY_DATE = _line['SURVEY_DATE'],
|
||
SURVEY_TEAM = _line['SURVEY_TEAM'],
|
||
FORMAT = _line['FORMAT'],
|
||
COMPASS = compass,
|
||
LENGTH = length,
|
||
CLINO = clino,
|
||
DATA_FORMAT = dataFormat,
|
||
CORRECTIONS =_corrections,
|
||
DECLINATION = f"\t\tdeclination {_line['DECLINATION']} {_compass}\n" if (crs_wkt == "" and _line['DECLINATION'] != 0.0) else "",
|
||
DATA = formated_station_list(dfDATA, dataFormat, length, shortCurentFile),
|
||
COMMENT = sanitize_filename(_line['SURVEY_NAME'] + " " + _line['COMMENT']).replace('"', "'").replace('_', " "),
|
||
FIX_POINTS = fixPoint,
|
||
EXPLO_DATE = discovery,
|
||
EXPLO_TEAM = f"{_line['SURVEY_TEAM']} # '????'",
|
||
SOURCE = '\n'.join('# ' + line for line in _line['SOURCE'].splitlines()),
|
||
)
|
||
)
|
||
|
||
totdata +=f"\tinput Data/{currentSurveyName}/{currentSurveyName}-tot.th\n"
|
||
|
||
log.info(f"Therion file : {Colors.ENDC}{safe_relpath(output_file)}{Colors.GREEN} created from {Colors.ENDC}{os.path.basename(ENTRY_FILE)}")
|
||
|
||
#################################################################################################
|
||
# Création des dossiers
|
||
#################################################################################################
|
||
|
||
_Config_PATH = CONFIG_PATH + "../../"
|
||
|
||
StatCreateFolder, stat, totReadMeErrorDat, thread2 = create_th_folders(
|
||
ENTRY_FILE = output_file,
|
||
PROJECTION = args.proj,
|
||
SCALE = args.scale,
|
||
UPDATE = args.update,
|
||
CONFIG_PATH = _Config_PATH,
|
||
totReadMeError = totReadMeErrorDat
|
||
)
|
||
threads += thread2
|
||
|
||
log.info(f"File: {Colors.ENDC}{currentSurveyName}{Colors.INFO}, compilation successful, length: {Colors.ENDC}{stat["length"]}m{Colors.INFO}, depth: {Colors.ENDC}{stat["depth"]}m")
|
||
totReadMe += f"\t{currentSurveyName} compilation successful length: {stat["length"]} m, depth: {stat["depth"]} m\n"
|
||
|
||
_destination = output_file[:-3] + "\\Sources"
|
||
destination_path = os.path.join(_destination, os.path.basename(output_file))
|
||
shutil.move(output_file, destination_path)
|
||
|
||
if args.file[-3:].lower() != "dat" :
|
||
_destination = output_file[:-3] + "\\config.thc"
|
||
destination_path = os.path.join(_destination, os.path.basename(output_file))
|
||
# print(f"destination_path : {_destination}")
|
||
os.remove(_destination)
|
||
|
||
if not StatCreateFolder :
|
||
totMapsPlan += f"\t{plan}MP-{currentSurveyName}-Plan-tot@{currentSurveyName}\n\t{plan}break\n"
|
||
totMapsExtended += f"\t{extended}MC-{currentSurveyName}-Extended-tot@{currentSurveyName}\n\t{extended}break\n"
|
||
surveyCount += 1
|
||
|
||
if globalData.error_count > 0:
|
||
bar.text(f"{Colors.INFO}file: {Colors.ENDC}{os.path.basename(ENTRY_FILE)[:-4]}{Colors.INFO}, survey: {Colors.ENDC}{currentSurveyName}{Colors.ERROR}, error: {Colors.ENDC}{globalData.error_count}")
|
||
else :
|
||
bar.text(f"{Colors.INFO}file: {Colors.ENDC}{os.path.basename(ENTRY_FILE)[:-4]}{Colors.INFO}, survey: {Colors.ENDC}{currentSurveyName}")
|
||
bar()
|
||
|
||
#################################################################################################
|
||
# 4 : Finalisation (remplissage des -tot.th et maps.th #
|
||
#################################################################################################
|
||
|
||
#################################################################################################
|
||
# Gestion des equates
|
||
#################################################################################################
|
||
|
||
totdata +=f"\n"
|
||
|
||
|
||
|
||
|
||
_stationList = stationList.copy()
|
||
|
||
# On numérote les doublons de Survey_Name pour chaque StationName
|
||
_stationList['Survey_Number'] = _stationList.groupby('StationName').cumcount() + 1
|
||
|
||
# print(_stationList)
|
||
|
||
# On pivote le tableau pour que chaque Survey_Name devienne une colonne
|
||
tableau_pivot = _stationList.pivot(index='StationName', columns='Survey_Number', values='Survey_Name_01')
|
||
|
||
tableau_pivot.columns = [f'Survey_Name_{i}' for i in tableau_pivot.columns]
|
||
|
||
# print(f"tableau_pivot: {Colors.ENDC}{tableau_pivot}{Colors.INFO} in {Colors.ENDC}{ENTRY_FILE}")
|
||
|
||
totdata +=f"\n\t## equates list:\n"
|
||
|
||
if 'Survey_Name_2' in tableau_pivot.columns:
|
||
# On réinitialise l'index pour avoir StationName comme colonne normale
|
||
tableau_pivot = tableau_pivot.reset_index()
|
||
tableau_equate = tableau_pivot[tableau_pivot['Survey_Name_2'].notna()]
|
||
|
||
log.info(f"Total 'equates' founds: {Colors.ENDC}{len(tableau_equate)}{Colors.INFO} in {Colors.ENDC}{shortCurentFile}")
|
||
# print(tableau_equate)
|
||
# print(f"fixePoints : {Colors.ENDC}{fixed_names}{Colors.INFO} in {Colors.ENDC}{ENTRY_FILE}")
|
||
|
||
# Pour chaque ligne du tableau
|
||
for _, row in tableau_equate.iterrows():
|
||
station = row['StationName']
|
||
|
||
# On récupère tous les Survey_Name non vides (NaN exclus)
|
||
surveys = [row[col] for col in tableau_equate.columns if col.startswith('Survey_Name') and pd.notna(row[col])]
|
||
|
||
# Pour chaque paire unique (i < j), on écrit la ligne 'equate'
|
||
for i in range(len(surveys)):
|
||
for j in range(i + 1, len(surveys)):
|
||
totdata +=f"\tequate {station}@{surveys[i]}.{surveys[i]} {station}@{surveys[j]}.{surveys[j]}\n"
|
||
else:
|
||
log.info(f"No 'equates' found in {Colors.ENDC}{ENTRY_FILE}")
|
||
|
||
totdata +=f"\n\t## Maps list:\n\t{maps}input {SurveyTitle}-maps.th\n"
|
||
|
||
if totReadMeErrorDat == "" : totReadMeErrorDat += "\tAny error in this file, that's perfect !\n"
|
||
|
||
config_vars = {
|
||
'fileName': SurveyTitle,
|
||
'caveName': SurveyTitle.replace("_", " "),
|
||
'Author': globalData.Author,
|
||
'Copyright': globalData.Copyright,
|
||
'Scale' : args.scale,
|
||
'Target' : "TARGET",
|
||
'mapComment' : globalData.mapComment,
|
||
'club' : globalData.club,
|
||
'thanksto' : globalData.thanksto,
|
||
'datat' : globalData.datat,
|
||
'wpage' : globalData.wpage,
|
||
'cs' : crs_wkt if crs_wkt != "" else globalData.cs,
|
||
'totData' : totdata,
|
||
'maps' : maps,
|
||
'plan': plan,
|
||
'XVIscale':globalData.XVIScale,
|
||
'extended': extended,
|
||
'configPath' : CONFIG_PATH,
|
||
'other_scraps_plan' : totMapsPlan,
|
||
'readMeList' : totReadMe,
|
||
'errorList' : totReadMeErrorDat,
|
||
'fixPointList' : totReadMeFixPoint,
|
||
'other_scraps_extended' : totMapsExtended,
|
||
'file_info' : f"# File generated by pyCreateTh.py version: {Version} date: {datetime.now().strftime("%Y.%m.%d-%H:%M:%S")}",
|
||
}
|
||
|
||
DEST_PATH = os.path.dirname(ENTRY_FILE) + '/' + SurveyTitle
|
||
|
||
update_template_files(DEST_PATH + '/template.thconfig', config_vars, DEST_PATH + '/' + SurveyTitle + '.thconfig')
|
||
update_template_files(DEST_PATH + '/template-tot.th', config_vars, DEST_PATH + '/' + SurveyTitle + '-tot.th')
|
||
update_template_files(DEST_PATH + '/template-maps.th', config_vars, DEST_PATH + '/' + SurveyTitle + '-maps.th')
|
||
update_template_files(DEST_PATH + '/template-readme.md', config_vars, DEST_PATH +'/' + SurveyTitle + '-readme.md')
|
||
|
||
#################################################################################################
|
||
# Final therion compilation #
|
||
#################################################################################################
|
||
|
||
if globalData.finalTherionExe == True:
|
||
FILE = DEST_PATH + '/' + SurveyTitle + '.thconfig'
|
||
t = compile_file(FILE, therion_path=globalData.therionPath)
|
||
threads.append(t)
|
||
|
||
stationList["Survey_Name_02"] = SurveyTitle
|
||
|
||
totReadMeError += totReadMeErrorDat
|
||
|
||
return stationList, SurveyTitle, totReadMeError, threads
|
||
|
||
|
||
#################################################################################################
|
||
def wait_until_file_is_released(filepath, timeout=30):
|
||
"""Wait until a file is released (i.e., not locked by another process).
|
||
|
||
Args:
|
||
filepath (str): The path to the file to check.
|
||
timeout (int, optional): The maximum time to wait in seconds. Defaults to 30.
|
||
|
||
Returns:
|
||
bool: True if the file is released, False if the timeout is reached.
|
||
|
||
"""
|
||
|
||
start = time.time()
|
||
while True:
|
||
try:
|
||
with open(filepath, "rb"):
|
||
return True
|
||
except PermissionError:
|
||
if time.time() - start > timeout:
|
||
log.Error(f"Timeout: The file remains locked after {Colors.ENDC}{timeout}{Colors.ERROR} secondes: {Colors.ENDC}{filepath}")
|
||
time.sleep(0.1) # attend 100 ms
|
||
|
||
|
||
#################################################################################################
|
||
# main function #
|
||
#################################################################################################
|
||
if __name__ == u'__main__':
|
||
|
||
start_time = datetime.now()
|
||
threads = []
|
||
fileTitle = ""
|
||
|
||
#################################################################################################
|
||
# Parse arguments #
|
||
#################################################################################################
|
||
parser = argparse.ArgumentParser(
|
||
description=f"{Colors.BLUE}Create a skeleton folder and th, th2 files with scraps from *.tro, *.mak, *.dat, *.th Therion files, version: {Colors.ENDC}{Version}\n",
|
||
formatter_class=argparse.RawDescriptionHelpFormatter)
|
||
parser.print_help = colored_help.__get__(parser)
|
||
parser.add_argument("--file", help="the file (*.th, *.mak, *.dat, *.tro) to perform e.g. './Therion_file.th'", default="")
|
||
parser.add_argument("--proj", choices=['All', 'Plan', 'Extended', 'None'], help="the th2 files scrap projection to produce, default: All", default="All")
|
||
parser.add_argument("--scale", help="scale for the pdf layout exports, default value: 1000 (i.e. xvi files scale is 100)", default="1000")
|
||
parser.add_argument("--update", help="th2 files update mode (only for th input files, no folders created)", action="store_true", default=False)
|
||
|
||
parser.epilog = (
|
||
f"{Colors.GREEN}Please, complete {Colors.BLUE}config.ini{Colors.GREEN} in {Colors.BLUE}FILE{Colors.GREEN} folder or in script folder for personal configuration{Colors.ENDC}\n"
|
||
f"{Colors.GREEN}If no argument: {Colors.BLUE} files selection by a windows\n{Colors.ENDC}\n"
|
||
f"{Colors.BLUE}Examples:{Colors.ENDC}\n"
|
||
f"\t> python pyCreateTh.py ./Tests/Entree.th --scale 1000\n"
|
||
f"\t> python pyCreateTh.py Entree.th\n"
|
||
f"\t> python pyCreateTh.py\n\n")
|
||
args = parser.parse_args()
|
||
|
||
if args.file == "":
|
||
args.file = select_file_tk_window()
|
||
# print(f"Selected file : {args.file}")
|
||
|
||
output_log = splitext(abspath(args.file))[0]+".log"
|
||
log = setup_logger(output_log, debug_log)
|
||
|
||
# log.debug("Ceci est un message de debug")
|
||
# log.info("Tout va bien")
|
||
# log.warning("Attention, possible souci")
|
||
# log.error("Une erreur est survenue")
|
||
# log.critical("Erreur critique !")
|
||
|
||
if os.name == 'posix': os.system('clear') # Linux, MacOS
|
||
elif os.name == 'nt': os.system('cls')# Windows
|
||
else: print("\n" * 100)
|
||
|
||
#################################################################################################
|
||
# Reading config.ini #
|
||
#################################################################################################
|
||
config_file = load_config(args)
|
||
|
||
#################################################################################################
|
||
# titre #
|
||
#################################################################################################
|
||
titre_largeur = 150
|
||
bordure = "#" * titre_largeur + Colors.ENDC
|
||
ansi_escape = re.compile(r'\x1b\[[0-9;]*m')
|
||
|
||
def pad_line(texte, center=False):
|
||
# Supprimer les séquences ANSI pour le calcul de longueur visuelle
|
||
visible_len = len(ansi_escape.sub('', texte))
|
||
espace_total = titre_largeur - visible_len - 2 # 2 pour les * à gauche et droite
|
||
|
||
if center:
|
||
left = espace_total // 2
|
||
right = espace_total - left
|
||
return f"#{' ' * left}{texte}{' ' * right}{Colors.ENDC}{Colors.INFO}#"
|
||
else:
|
||
return f"# {texte}{' ' * max(0, espace_total - 1)}{Colors.INFO}#"
|
||
|
||
_titre = [
|
||
bordure,
|
||
pad_line(f"{Colors.BOLD}{Colors.YELLOW}Conversion Th, Dat, Mak, Tro, files to Therion files and folders", center=True),
|
||
pad_line(f"Script pyCreateTh by : {Colors.BLUE}alexandre.pont@yahoo.fr"),
|
||
pad_line(f"Version : {Colors.ENDC}{Version}"),
|
||
pad_line(f"Input file : {Colors.ENDC}{safe_relpath(args.file)}"),
|
||
pad_line(f"Output folder : {Colors.ENDC}{safe_relpath(splitext(abspath(args.file))[0])}"),
|
||
pad_line(f"Log file : {Colors.ENDC}{os.path.basename(output_log)}"),
|
||
pad_line(f"Config file: {Colors.ENDC}{safe_relpath(config_file)}"),
|
||
pad_line(""),
|
||
bordure
|
||
]
|
||
|
||
for line in _titre:
|
||
log.info(line)
|
||
|
||
|
||
#################################################################################################
|
||
# Fichier TH #
|
||
#################################################################################################
|
||
if args.file[-2:].lower() == "th" :
|
||
flagErrorCompile, stat, totReadMeError, thread2 = create_th_folders(
|
||
ENTRY_FILE = abspath(args.file),
|
||
TARGET = None,
|
||
PROJECTION= args.proj,
|
||
SCALE = args.scale,
|
||
UPDATE = args.update,
|
||
CONFIG_PATH = "")
|
||
threads += thread2
|
||
fileTitle = sanitize_filename(os.path.basename(args.file))[:-3]
|
||
|
||
|
||
#################################################################################################
|
||
# Fichier MAK #
|
||
#################################################################################################
|
||
elif args.file[-3:].lower() == "mak" :
|
||
|
||
SurveyTitleMak = sanitize_filename(os.path.basename(abspath(args.file))[:-4])
|
||
DEST_PATH = os.path.dirname(args.file) + '/' + SurveyTitleMak
|
||
|
||
if os.path.isdir(DEST_PATH):
|
||
log.critical(f"The folder {Colors.ENDC}{SurveyTitleMak}{Colors.ERROR}{Colors.BOLD}, all ready exist : update mode is not possible for mak files")
|
||
exit(0)
|
||
|
||
fileTitle, thread2 = mak_to_th_file(abspath(args.file))
|
||
threads += thread2
|
||
|
||
|
||
#################################################################################################
|
||
# Fichier DAT #
|
||
#################################################################################################
|
||
elif args.file[-3:].lower() == "dat" :
|
||
_ConfigPath = "./"
|
||
|
||
QtySections = 0
|
||
|
||
ABS_file = abspath(args.file)
|
||
|
||
content, val, enc = load_text_file_utf8(ABS_file, os.path.basename(ABS_file))
|
||
section = content.split('\x0c')
|
||
QtySections += len(section)
|
||
|
||
lines = section[0].split('\n')
|
||
|
||
if lines[0] !="" :
|
||
SurveyTitleDat = sanitize_filename(lines[0])
|
||
folderDest = os.path.dirname(args.file) + "\\" + SurveyTitleDat
|
||
else :
|
||
SurveyTitleDat = sanitize_filename(os.path.basename(args.file)[:-4])
|
||
folderDest = os.path.dirname(args.file) + "\\" + SurveyTitleDat
|
||
|
||
if os.path.isdir(folderDest):
|
||
log.critical(f"The folder {Colors.ENDC}{SurveyTitleDat}{Colors.ERROR}{Colors.BOLD}, all ready exist : update mode is not possible for mak files")
|
||
exit(0)
|
||
|
||
with alive_bar(
|
||
QtySections,
|
||
title=f"{Colors.GREEN}Surveys progress: {Colors.BLUE}",
|
||
length = 20,
|
||
enrich_print=False,
|
||
stats=True, # Désactive les stats par défaut pour plus de lisibilité
|
||
elapsed=True, # Optionnel : masque le temps écoulé
|
||
monitor=True, # Optionnel : masque les métriques (ex: "eta")
|
||
bar="smooth" # Style de la barre (autres options: "smooth", "classic", "blocks")
|
||
) as bar:
|
||
with redirect_stdout(sys.__stdout__):
|
||
for i in range(1):
|
||
if globalData.error_count > 0:
|
||
bar.text(f"{Colors.INFO}file: {Colors.ENDC}{os.path.basename(ABS_file)[:-4]}{Colors.ERROR}, error: {Colors.ENDC}{globalData.error_count}")
|
||
else :
|
||
bar.text(f"{Colors.INFO}file: {Colors.ENDC}{os.path.basename(ABS_file)[:-4]}")
|
||
stationList, fileTitle, totReadMeError, thread2 = dat_to_th_files (ABS_file , fixPoints = [], crs_wkt = "", CONFIG_PATH = _ConfigPath, totReadMeError = "", bar = bar)
|
||
threads += thread2
|
||
bar()
|
||
|
||
#################################################################################################
|
||
# Fichier TRO #
|
||
#################################################################################################
|
||
elif args.file[-3:].lower() == "tro" :
|
||
|
||
SrcFile = abspath(args.file)
|
||
DestFile = SrcFile[:-4] # + "Th"
|
||
|
||
source_content, val, encodage = load_text_file_utf8(SrcFile, os.path.basename(SrcFile))
|
||
|
||
fileTitle, coordinates, coordsyst, fle_th_fnme = convert_tro(
|
||
fle_tro_fnme = SrcFile,
|
||
fle_tro_encoding= encodage,
|
||
fle_th_fnme = DestFile,
|
||
cavename = None,
|
||
icomments = True,
|
||
icoupe = False,
|
||
istructure = False,
|
||
thlang = None,
|
||
Errorfiles = False
|
||
)
|
||
|
||
content, val, encodage = load_text_file_utf8(fle_th_fnme, os.path.basename(fle_th_fnme))
|
||
|
||
if encodage != "utf-8":
|
||
with open(str(fle_th_fnme), "w+", encoding="utf-8") as f:
|
||
f.write(content)
|
||
|
||
with open(fle_th_fnme, 'a', encoding='utf-8') as file:
|
||
file.write("\n\n")
|
||
for line in source_content.splitlines():
|
||
file.write(f"# {line}\n")
|
||
|
||
|
||
flagErrorCompile, stat, totReadMeError, thread2 = create_th_folders(
|
||
ENTRY_FILE = fle_th_fnme,
|
||
TARGET = None,
|
||
PROJECTION= args.proj,
|
||
SCALE = args.scale,
|
||
UPDATE = args.update,
|
||
CONFIG_PATH = "")
|
||
threads += thread2
|
||
fileTitle = sanitize_filename(os.path.basename(fle_th_fnme)[:-3])
|
||
|
||
if os.path.isfile(fle_th_fnme):
|
||
os.remove(fle_th_fnme)
|
||
|
||
else :
|
||
log.error(f"file {Colors.ENDC}{safe_relpath(args.file)}{Colors.ERROR} not yet supported")
|
||
globalData.error_count += 1
|
||
|
||
for t in threads:
|
||
t.join()
|
||
|
||
destination_path = os.path.dirname(output_log) + "\\" + fileTitle
|
||
file_name = os.path.basename(output_log)
|
||
destination_file = os.path.join(destination_path, file_name)
|
||
|
||
wait_until_file_is_released(output_log)
|
||
|
||
duration = (datetime.now() - start_time).total_seconds()
|
||
|
||
if globalData.error_count == 0 :
|
||
log.info(f"All files processed successfully in {Colors.ENDC}{duration:.2f}{Colors.INFO} secondes, without errors")
|
||
else :
|
||
log.error(f"There were {Colors.ENDC}{globalData.error_count}{Colors.ERROR} errors during {Colors.ENDC}{duration:.2f}{Colors.ERROR} secondes, check the log file: {Colors.ENDC}{os.path.basename(output_log)}")
|
||
|
||
wait_until_file_is_released(output_log)
|
||
release_log_file(log)
|
||
|
||
|
||
# Supprimer le fichier cible si il existe déjà
|
||
if os.path.isfile(destination_file):
|
||
os.remove(destination_file)
|
||
|
||
shutil.move(output_log, destination_path)
|
||
|
||
|
||
|
||
|