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https://github.com/Alex38Lyon/Synthese-PSM_LARRA.git
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Synthèse 2025
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Alex38Lyon
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"""
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!---------------------------------------------------------!
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! !
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! TroX to Therion !
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! !
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! Code to transform the .troX files !
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! Visual Topo into files that can !
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! be used by Therion !
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! !
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! Written by Alexandre Pont !
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! !
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!---------------------------------------------------------!
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ENGLISH :
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This code is to transform the .trox file from Visualtopo (http://vtopo.free.fr/)
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into files that can be read by Therion (http://therion.speleo.sk/).
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It reads .tro file and produce one .th file (file with survey data),
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and one thconfig file (file that is used to compile and build the survey with Therion).
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Création Alex 2026 01 08
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TODOS : -....
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"""
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import xml.etree.ElementTree as ET
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from collections import defaultdict, Counter
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from pathlib import Path
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from Lib.general_fonctions import Colors, safe_relpath
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import Lib.global_data as global_data
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def analyse_xml_balises_old(xml_path):
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"""
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Analyse un fichier XML et affiche :
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- le nombre d'occurrences de chaque balise
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- pour chaque balise, les attributs rencontrés et leurs occurrences
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Parameters
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----------
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xml_path : str | Path
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Chemin vers le fichier XML
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"""
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xml_path = Path(xml_path)
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if not xml_path.exists():
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raise FileNotFoundError(f"{Colors.ERROR}Fichier introuvable : {Colors.ENDC}{xml_path}")
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# Chargement XML
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tree = ET.parse(xml_path)
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root = tree.getroot()
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# Comptage des balises
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tag_counter = Counter()
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# Dictionnaire :
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# { tag_name : Counter({attr_name: nb_occurrences}) }
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attributes_counter = defaultdict(Counter)
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# Parcours de tous les éléments
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for elem in root.iter():
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tag_counter[elem.tag] += 1
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for attr_name in elem.attrib.keys():
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attributes_counter[elem.tag][attr_name] += 1
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# Affichage
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print("\n")
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print("=" * 80)
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print(f"{Colors.INFO}Analyse du fichier : {Colors.ENDC}{xml_path.name}")
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print("=" * 80)
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for tag in sorted(tag_counter.keys()):
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print(f"\n{Colors.BLUE}Balise <{Colors.ENDC}{tag}{Colors.BLUE}>")
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print(f" {Colors.CYAN}Occurrences : {Colors.ENDC}{tag_counter[tag]}")
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if attributes_counter[tag]:
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print(f" {Colors.MAGENTA}Attributs :")
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for attr, count in attributes_counter[tag].most_common():
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print(f" {Colors.MAGENTA}- {Colors.ENDC}{attr}{Colors.MAGENTA} : {Colors.ENDC}{count}")
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else:
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print(f" {Colors.RED}Attributs : aucun")
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print(f"\n{Colors.INFO}Analyse terminée.")
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def analyse_xml_balises(xml_path):
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"""
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Analyse un fichier XML et affiche :
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- le nombre d'occurrences de chaque balise
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- pour chaque balise, les attributs rencontrés et leurs occurrences
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- le tout classé par type logique (Version, Mesures, Param, ...)
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"""
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xml_path = Path(xml_path)
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if not xml_path.exists():
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raise FileNotFoundError(
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f"{Colors.ERROR}Fichier introuvable : {Colors.ENDC}{xml_path}"
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)
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# ----------------------------
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# Définition des catégories
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# ----------------------------
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TAG_CATEGORIES = {
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"Version": {
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"version", "header", "metadata"
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},
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"Mesures": {
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"mesure", "measure", "value", "data", "record"
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},
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"Param": {
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"param", "parameter", "config", "setting"
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},
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}
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DEFAULT_CATEGORY = "Autres"
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# Inverse la table pour lookup rapide
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tag_to_category = {}
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for category, tags in TAG_CATEGORIES.items():
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for tag in tags:
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tag_to_category[tag] = category
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# ----------------------------
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# Chargement XML
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# ----------------------------
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tree = ET.parse(xml_path)
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root = tree.getroot()
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tag_counter = Counter()
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attributes_counter = defaultdict(Counter)
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# ----------------------------
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# Parcours XML
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# ----------------------------
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for elem in root.iter():
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tag = elem.tag
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tag_counter[tag] += 1
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for attr_name in elem.attrib:
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attributes_counter[tag][attr_name] += 1
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# ----------------------------
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# Regroupement par catégorie
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# ----------------------------
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categorized_tags = defaultdict(list)
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for tag in tag_counter:
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# Nettoyage éventuel namespace XML
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clean_tag = tag.split("}")[-1]
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category = tag_to_category.get(clean_tag, DEFAULT_CATEGORY)
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categorized_tags[category].append(tag)
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# ----------------------------
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# Affichage
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# ----------------------------
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print("\n" + "=" * 80)
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print(f"{Colors.INFO}Analyse du fichier : {Colors.ENDC}{xml_path.name}")
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print("=" * 80)
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for category in sorted(categorized_tags.keys()):
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print(f"\n{Colors.YELLOW}## {category}{Colors.ENDC}")
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print("-" * 60)
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for tag in sorted(categorized_tags[category]):
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print(f"\n {Colors.BLUE}Balise <{Colors.ENDC}{tag}{Colors.BLUE}>")
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print(f" {Colors.CYAN}Occurrences : {Colors.ENDC}{tag_counter[tag]}")
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if attributes_counter[tag]:
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print(f" {Colors.MAGENTA}Attributs :{Colors.ENDC}")
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for attr, count in attributes_counter[tag].most_common():
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print(
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f" {Colors.MAGENTA}- {Colors.ENDC}{attr}"
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f"{Colors.MAGENTA} : {Colors.ENDC}{count}"
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)
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else:
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print(f" {Colors.RED}Attributs : aucun{Colors.ENDC}")
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print(f"\n{Colors.INFO}Analyse terminée.{Colors.ENDC}")
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