diff --git a/.abacus.donotdelete b/.abacus.donotdelete index 3e2f036..d3c61f5 100644 --- a/.abacus.donotdelete +++ b/.abacus.donotdelete @@ -1 +1 @@ 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 \ No newline at end of file diff --git a/main.py b/main.py index 573e7e8..294bfe9 100644 --- a/main.py +++ b/main.py @@ -1387,9 +1387,9 @@ class GeoreferencingTab(QWidget): class NetworkAdjustmentTab(QWidget): """ Tab für Netzausgleichung - KORREKTES KONZEPT: - - Festpunkte = Passpunkte (5001, 5002, etc.) - werden NICHT ausgeglichen - - Neupunkte = Standpunkte (1001, 1002, etc.) - werden ausgeglichen - - Messpunkte = 3000er Serie - werden ausgeglichen + - Festpunkte = NUR 5xxx-Passpunkte (5001, 5002, etc.) - werden NICHT ausgeglichen + - Neupunkte = ALLE anderen Punkte (Standpunkte, Anschlusspunkte, Messpunkte) - werden AUSGEGLICHEN + - Das gesamte Netz wird spannungsfrei ausgeglichen """ def __init__(self, parent=None): @@ -1428,10 +1428,10 @@ class NetworkAdjustmentTab(QWidget): points_layout = QVBoxLayout(points_group) info_label = QLabel( - "💡 KORREKTES KONZEPT:\n" - " • Festpunkte (grün): Passpunkte mit bekannten Koordinaten - werden NICHT ausgeglichen\n" - " • Neupunkte (blau): Standpunkte des Tachymeters - werden AUSGEGLICHEN\n" - " • Messpunkte (gelb): Detailpunkte - werden AUSGEGLICHEN" + "💡 KORREKTES KONZEPT (Netzausgleichung):\n" + " • Festpunkte (grün): NUR 5xxx-Passpunkte (5001, 5002) - werden NICHT ausgeglichen\n" + " • Neupunkte (blau/gelb): ALLE anderen Punkte - werden AUSGEGLICHEN\n" + " (inkl. Standpunkte 1xxx, Anschlusspunkte 2xxx/6xxx, Messpunkte 3xxx)" ) info_label.setStyleSheet("background-color: #f0f0f0; padding: 10px;") points_layout.addWidget(info_label) @@ -1612,9 +1612,9 @@ class NetworkAdjustmentTab(QWidget): lines.append("=" * 90) lines.append("") lines.append("KONZEPT:") - lines.append(" • Festpunkte = Passpunkte mit bekannten Koordinaten (NICHT ausgeglichen)") - lines.append(" • Neupunkte = Standpunkte des Tachymeters (AUSGEGLICHEN)") - lines.append(" • Messpunkte = Detailpunkte (AUSGEGLICHEN)") + lines.append(" • Festpunkte = NUR 5xxx-Passpunkte (5001, 5002) - NICHT ausgeglichen") + lines.append(" • Neupunkte = ALLE anderen Punkte (Standpunkte, Anschlusspunkte, Messpunkte) - AUSGEGLICHEN") + lines.append(" • Das gesamte Netz wird spannungsfrei ausgeglichen") lines.append("") lines.append("-" * 90) lines.append("STATISTIK") @@ -1644,7 +1644,7 @@ class NetworkAdjustmentTab(QWidget): # Neupunkte (ausgeglichen) lines.append("-" * 90) - lines.append("NEUPUNKTE (Standpunkte - AUSGEGLICHEN)") + lines.append("NEUPUNKTE (inkl. Standpunkte & Anschlusspunkte - AUSGEGLICHEN)") lines.append("-" * 90) lines.append(f"{'Punkt':<12} {'X [m]':>14} {'Y [m]':>14} {'Z [m]':>12} {'σX [mm]':>10} {'σY [mm]':>10} {'σPos [mm]':>10}") lines.append("-" * 90) diff --git a/modules/__pycache__/jxl_parser.cpython-311.pyc b/modules/__pycache__/jxl_parser.cpython-311.pyc index e837344..c4964b5 100644 Binary files a/modules/__pycache__/jxl_parser.cpython-311.pyc and b/modules/__pycache__/jxl_parser.cpython-311.pyc differ diff --git a/modules/jxl_parser.py b/modules/jxl_parser.py index d136727..c07f9b7 100644 --- a/modules/jxl_parser.py +++ b/modules/jxl_parser.py @@ -712,34 +712,41 @@ class JXLParser: def get_reference_points(self) -> List[str]: """ - Gibt die echten Passpunkte zurück. - Das sind Punkte mit bekannten Koordinaten, die zur Orientierung verwendet werden. - WICHTIG: Standpunkte (1001, 1002 etc.) sind KEINE Festpunkte! + Gibt die absoluten Festpunkte (Passpunkte) zurück. - Festpunkte sind: - - Punkte aus Referenzlinien (5001, 5002) - - Punkte mit Method="Coordinates" oder "AzimuthOnly" (und NICHT als Station verwendet) + KORREKTE LOGIK: + - NUR 5xxx-Serie (5001, 5002, etc.) sind echte Festpunkte + - ALLE anderen Punkte (Standpunkte, Anschlusspunkte, Messpunkte) werden ausgeglichen + - Auch Punkte die als Anschlusspunkte verwendet werden (2xxx, 6xxx) sind KEINE Festpunkte! + + Festpunkte werden erkannt durch: + 1. Punktnummer beginnt mit 5 (5xxx Serie) + 2. ODER Punkte aus Referenzlinien mit Method="Coordinates" """ ref_points = set() - # Alle Stationsnamen sammeln (diese sind KEINE Festpunkte) - station_names = set(s.name for s in self.stations.values() if s.name) - - # Punkte aus Referenzlinien - das sind die echten Passpunkte - for line in self.lines.values(): - if line.start_point and line.start_point not in station_names: - ref_points.add(line.start_point) - if line.end_point and line.end_point not in station_names: - ref_points.add(line.end_point) - - # Punkte mit Method="Coordinates" (aber nicht Stationen) + # Methode 1: 5xxx-Serie = absolute Festpunkte for name, point in self.points.items(): - if name in station_names: - continue # Stationen überspringen - if point.method == 'Coordinates': - ref_points.add(name) - elif point.method == 'AzimuthOnly': - ref_points.add(name) + if point.deleted: + continue + # Prüfe ob Punktname mit 5 beginnt und eine Nummer ist + try: + if name.startswith('5') and name.isdigit(): + ref_points.add(name) + except: + pass + + # Methode 2: Punkte aus Referenzlinien mit expliziten Koordinaten + for line in self.lines.values(): + if line.start_point: + # Prüfe ob es ein 5xxx Punkt ist oder explizit Coordinates hat + start_point = self.points.get(line.start_point) + if start_point and start_point.method == 'Coordinates': + ref_points.add(line.start_point) + if line.end_point: + end_point = self.points.get(line.end_point) + if end_point and end_point.method == 'Coordinates': + ref_points.add(line.end_point) return list(ref_points)