Ordner aufgeräumt.

This commit is contained in:
2025-09-05 09:22:47 +02:00
parent 1662af723f
commit 69825b3c6d
249 changed files with 1538 additions and 37514 deletions
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''' Key Analysis Points:
Data Safety:
Uses safe_float() to handle potential data conversion issues
Creates copies of items to avoid modifying original data
Geometric Calculations:
Converts angles to radians for trigonometric functions
Performs width/height calculations based on center line measurements and angles
Rounds results to 3 decimal places for consistency
Validation:
Compares calculated values with original values
Flags discrepancies with "Please verify" status
Provides detailed difference metrics
Error Handling:
Preserves original data when processing fails
Tracks and reports all errors
Provides comprehensive statistics
Output:
Generates a new JSON file with calculated fields
Provides detailed console output for verification
Maintains original structure while adding new calculated fields
The script is designed to process SVG measurement data, perform geometric validations, and produce an enhanced dataset while providing thorough feedback about the processing results. '''
import json
import math
import os
def safe_float(value, default=0.0):
"""Safely convert value to float, return default if conversion fails"""
try:
return float(value) if value != '' else default
except (ValueError, TypeError):
return default
def calculate_attributes(item):
"""Calculate and add new attributes to the item based on geometric calculations"""
# Create a copy of the item to avoid modifying the original
processed_item = item.copy()
# Ensure all numeric fields have valid values using safe_float
processed_item["center_line_width_mm"] = safe_float(item.get("center_line_width_mm", 0))
processed_item["center_line_height_mm"] = safe_float(item.get("center_line_height_mm", 0))
processed_item["Objekt_width_mm"] = safe_float(item.get("Objekt_width_mm", 0))
processed_item["Objekt_height_mm"] = safe_float(item.get("Objekt_height_mm", 0))
processed_item["Winkel"] = safe_float(item.get("Winkel", 0))
# Convert angle to radians for trigonometric calculations
winkel_rad = math.radians(processed_item["Winkel"])
sin_value = math.sin(winkel_rad)
cos_value = math.cos(winkel_rad)
# Calculate new dimensions with 3 decimal places precision
if processed_item["Winkel"]!=180:
calculated_width = processed_item["center_line_width_mm"] + sin_value * 21.040
calculated_height = processed_item["center_line_height_mm"] + 21.040 + cos_value * 21.040
else:
calculated_width = processed_item["center_line_width_mm"]+21.040
calculated_height = processed_item["center_line_height_mm"]+ 21.040 + 21.040
processed_item["calculated_objekt_width_mm"] = round(calculated_width, 3)
processed_item["calculated_objekt_height_mm"] = round(calculated_height, 3)
# Calculate differences between original and calculated values
width_diff = round(processed_item["Objekt_width_mm"] - processed_item["calculated_objekt_width_mm"], 3)
height_diff = round(processed_item["Objekt_height_mm"] - processed_item["calculated_objekt_height_mm"], 3)
# Prepare comparison results for console output (not saved to JSON)
comparison_results = {
"width": {
"calculated": processed_item["calculated_objekt_width_mm"],
"original": processed_item["Objekt_width_mm"],
"difference": width_diff,
"status": "OK" if abs(width_diff) < 0.001 else "Please verify"
},
"height": {
"calculated": processed_item["calculated_objekt_height_mm"],
"original": processed_item["Objekt_height_mm"],
"difference": height_diff,
"status": "OK" if abs(height_diff) < 0.001 else "Please verify"
}
}
return processed_item, comparison_results
def process_json_file(input_file, output_file):
"""Main function to process JSON file and generate output"""
# Read input file
try:
with open(input_file, 'r', encoding='utf-8') as f:
data = json.load(f)
except FileNotFoundError:
print(f"Error: Input file '{input_file}' not found")
return
except json.JSONDecodeError as e:
print(f"JSON parsing error: {e}")
return
# Verify data is a list
if not isinstance(data, list):
print("Error: JSON data should be an array")
return
# Process data
processed_data = []
error_items = []
print("\nStarting JSON data processing...\n")
for idx, item in enumerate(data, start=1):
try:
processed_item, comparison = calculate_attributes(item)
processed_data.append(processed_item)
# Print comparison results to console
print(f"Item {idx} [{item.get('SVGname', 'Unnamed')}] comparison results:")
print(f" Width: Calculated={comparison['width']['calculated']} | Original={comparison['width']['original']} | Difference={comparison['width']['difference']} | {comparison['width']['status']}")
print(f" Height: Calculated={comparison['height']['calculated']} | Original={comparison['height']['original']} | Difference={comparison['height']['difference']} | {comparison['height']['status']}")
print("-" * 60)
except Exception as e:
error_items.append((idx, str(e)))
# Preserve original data (without any processed fields)
processed_data.append(item)
# Print error message to console
print(f"Error processing item {idx} [{item.get('SVGname', 'Unnamed')}]: {str(e)}")
print("-" * 60)
# Write output file
try:
with open(output_file, 'w', encoding='utf-8') as f:
json.dump(processed_data, f, indent=4, ensure_ascii=False)
print(f"\nProcessing complete. Results saved to {output_file}")
except IOError as e:
print(f"Error writing output file: {e}")
return
# Print statistics
total_items = len(data)
success_items = total_items - len(error_items)
print("\nProcessing statistics:")
print(f"Total items: {total_items}")
print(f"Successfully processed: {success_items}")
print(f"Failed items: {len(error_items)}")
# Example usage
if __name__ == "__main__":
json_path=os.environ.get("JSON_PATH","JSON")
input_filename = os.path.join(json_path,"1_SVGErfassung_updated_new_input.json") # Replace with your input filename
output_filename = os.path.join(json_path,"1_SVGErfassung_updated_new_output.json") # Replace with desired output filename
process_json_file(input_filename, output_filename)
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''' This Python script processes JSON data containing SVG object measurements and performs several calculations to standardize the dimensions and add connection points. Here's the main logic:
Data Processing:
Converts all numeric fields to floats
Determines the dominant dimension (width or height) and scales it to 1000px
Calculates the other dimension proportionally
Computes two connection points (cp1 and cp2) with their coordinates and directions
Error Checking:
Validates that connection points stay within the 1000px boundary
Provides detailed error reporting
Scaling Logic:
Uses different scaling approaches based on whether width or height is larger
Maintains aspect ratio while standardizing dimensions '''
import json
import math
import os
def process_json_item(item):
# Ensure all numeric fields are floats
item["Winkel"] = float(item["Winkel"])
item["center_line_width_mm"] = float(item["center_line_width_mm"])
item["center_line_height_mm"] = float(item["center_line_height_mm"])
item["Objekt_width_mm"] = float(item["Objekt_width_mm"])
item["Objekt_height_mm"] = float(item["Objekt_height_mm"])
item["calculated_objekt_width_mm"] = float(item["calculated_objekt_width_mm"])
item["calculated_objekt_height_mm"] = float(item["calculated_objekt_height_mm"])
# Calculate the direct mm to px conversions (requested additions)
item["Objekt_width_px"] = round(item["Objekt_width_mm"] * 3.7795, 3)
item["Objekt_height_px"] = round(item["Objekt_height_mm"] * 3.7795, 3)
winkel_rad = math.radians(item["Winkel"])
sin_value = math.sin(winkel_rad)
cos_value = math.cos(winkel_rad)
# Determine which dimension is larger
if item["Objekt_width_mm"] == item["Objekt_height_mm"]:
# "Width =Height"
scale = round(1000 / item["Objekt_width_mm"], 6)
item["calculated_SVG_width_px"] = 1000
item["calculated_SVG_height_px"] = round(item["Objekt_height_mm"] * scale, 3)
scale_RD_H = 1000 / item["calculated_SVG_height_px"]
scale_RD_W = 1
elif item["Objekt_width_mm"] > item["Objekt_height_mm"]:
# Width is larger, set calculated_SVG width to 1000px
scale = round(1000 / item["Objekt_width_mm"], 7)
item["calculated_SVG_width_px"] = 1000
if item["Winkel"]==180:
item["calculated_SVG_height_px"] = round(item["Objekt_height_mm"] * scale+3.7795/2, 3)
else:
item["calculated_SVG_height_px"] = round(item["Objekt_height_mm"] * scale+3.7795/2/sin_value, 3)
scale_RD_H = round(1000 / item["calculated_SVG_height_px"], 6)
scale_RD_W = 1
else:
# Height is larger, set calculated_SVG height to 1000px
scale = round(1000 / item["Objekt_height_mm"], 7)
item["calculated_SVG_height_px"] = 1000
if item["Winkel"]==180:
item["calculated_SVG_width_px"] = round(item["Objekt_width_mm"] * scale+3.7795/2, 3)
else:
item["calculated_SVG_width_px"] = round(item["Objekt_width_mm"] * scale+3.7795/2/cos_value, 3)
scale_RD_W = round(1000 / item["calculated_SVG_width_px"], 6)
scale_RD_H = 1
item["scale_factor"] = scale # Add scale factor
# Calculate connection points
cp1_y = round(21.040 * scale*scale_RD_H, 3)
if item["calculated_SVG_height_px"] == item["calculated_SVG_width_px"]:
cp2_x = round(item["center_line_width_mm"] * scale * scale_RD_W, 3)
cp2_y = round((21.040 + item["center_line_height_mm"]) * scale * scale_RD_H, 3)
elif item["calculated_SVG_height_px"] == 1000 and item["calculated_SVG_width_px"] != 1000:
if item["Winkel"]==180:
cp2_x = 0
else:
cp2_x = round((item["center_line_width_mm"] * scale) * scale_RD_W, 3)
cp2_y = round(((21.040 + item["center_line_height_mm"]) * scale) * scale_RD_H, 3)
else:
cp2_x = round((item["center_line_width_mm"] * scale) * scale_RD_W, 3)
cp2_y = round(((21.040 + item["center_line_height_mm"]) * scale) * scale_RD_H, 3)
cp2_direction = round(90 + item["Winkel"], 1) # Keep 1 decimal place
# Add connection points attributes
item["connectionPoints"] = [
{
"id": "cp1",
"x": 0,
"y": cp1_y,
"direction": 270.0
},
{
"id": "cp2",
"x": cp2_x,
"y": cp2_y,
"direction": cp2_direction
}
]
return item
def check_connection_points(item):
"""Check if connection point coordinates exceed 1000"""
errors = []
for cp in item.get("connectionPoints", []):
if cp["x"] > 1000 or cp["y"] > 1000:
errors.append(f"Connection point {cp['id']} exceeds range: x={cp['x']}, y={cp['y']}")
return errors
def process_json_file(input_file, output_file):
try:
# Read input file
with open(input_file, 'r', encoding='utf-8') as f:
data = json.load(f)
# Verify data is a list
if not isinstance(data, list):
print("Error: JSON data should be an array")
return
# Process each item
processed_data = []
error_reports = []
for idx, item in enumerate(data, start=1):
try:
processed_item = process_json_item(item)
# Check connection point coordinates
errors = check_connection_points(processed_item)
if errors:
error_msg = f"Item {idx} [{item.get('SVGname')}] coordinate errors:"
for err in errors:
error_msg += f"\n - {err}"
error_reports.append(error_msg)
processed_data.append(processed_item)
except Exception as e:
error_msg = f"Error processing item {idx} [{item.get('SVGname')}]: {str(e)}"
error_reports.append(error_msg)
processed_data.append(item) # Keep original data
# Write output file
with open(output_file, 'w', encoding='utf-8') as f:
json.dump(processed_data, f, indent=4, ensure_ascii=False)
print(f"Processing for calculations to standardize the dimensions and add connection points completed. Results saved to {output_file}")
# Print error reports
if error_reports:
print("\n" + "="*50)
print("Coordinate Validation Error Report:")
print("="*50)
for report in error_reports:
print("\n" + report)
print("\n" + "="*50)
print(f"Found {len(error_reports)} coordinate issues")
print("="*50)
else:
print("\nAll connection point coordinates validated successfully - no out-of-range issues found")
except FileNotFoundError:
print(f"Error: Input file '{input_file}' not found")
except json.JSONDecodeError as e:
print(f"JSON parsing error: {e}")
except Exception as e:
print(f"Error during processing: {e}")
# Example usage
if __name__ == "__main__":
json_path=os.environ.get("JSON_PATH","JSON")
input_filename = os.path.join(json_path,"1_SVGErfassung_updated_new_output.json")
output_filename =os.path.join(json_path,"2_calculated_px_cps_output.json")
process_json_file(input_filename, output_filename)
@@ -0,0 +1,165 @@
''' Script Analysis
This Python script processes JSON and TXT files to update dimensions and connection points in SVG-related data. Here's the main logic:
Input Handling:
Reads a JSON file containing reference data
Processes all TXT files in a specified directory
Data Processing:
Creates a mapping between Sivasnr (from filenames) and JSON data
For each matching TXT file:
Updates width and height based on JSON data (converting mm to px)
Updates connection points (x, y, direction) from JSON data
Preserves the original file structure while updating specific values
Reporting:
Prints detailed change reports to console
Skips files without matching JSON data '''
import json
import os
import glob
from datetime import datetime
def process_files(json_file_path, txt_files_dir):
# Create a log file with timestamp
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
log_file_path = os.path.join(txt_files_dir, f"modification_report_OFBogen_{timestamp}.txt")
# Read JSON file
with open(json_file_path, 'r', encoding='utf-8') as f:
json_data = json.load(f)
# Create Sivasnr to JSON data mapping
sivasnr_mapping = {item["Sivasnr"]: item for item in json_data}
# Initialize counters
total_files = 0
processed_files = 0
skipped_files = 0
# Prepare report content
report_content = []
report_content.append(f"Modification Report - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
report_content.append(f"JSON Reference File: {json_file_path}")
report_content.append(f"TXT Files Directory: {txt_files_dir}")
report_content.append("="*50 + "\n")
# Process all TXT files
for txt_file_path in glob.glob(os.path.join(txt_files_dir, '*.txt')):
total_files += 1
# Extract Sivasnr from filename
sivasnr = os.path.splitext(os.path.basename(txt_file_path))[0]
# Check if corresponding JSON data exists
if sivasnr in sivasnr_mapping:
json_item = sivasnr_mapping[sivasnr]
# Read TXT file content (using utf-8-sig to handle BOM)
with open(txt_file_path, 'r', encoding='utf-8-sig') as f:
txt_content = json.load(f)
# Prepare entry for this file
file_entry = []
file_entry.append(f"\nProcessing file: {os.path.basename(txt_file_path)}")
file_entry.append("="*50)
# Record old values
old_width = txt_content["width"]
old_height = txt_content["height"]
old_cps = {cp["id"]: {"x": cp["x"], "y": cp["y"], "direction": cp["direction"]}
for cp in txt_content["connectionPoints"]}
# Update width and height
new_width = round(json_item["Objekt_width_mm"] * 3.7795, 3)
new_height = round(json_item["Objekt_height_mm"] * 3.7795, 3)
txt_content["width"] = new_width
txt_content["height"] = new_height
# Update connectionPoints
cp_changes = []
for cp in txt_content["connectionPoints"]:
cp_id = cp["id"]
# Find corresponding connection point in JSON data
json_cp = next((item for item in json_item["connectionPoints"] if item["id"] == cp_id), None)
if json_cp:
# Record old values
old_x = cp["x"]
old_y = cp["y"]
old_dir = cp["direction"]
# Update values
cp["x"] = json_cp["x"]
cp["y"] = json_cp["y"]
cp["direction"] = json_cp["direction"]
# Record changes
cp_changes.append({
"id": cp_id,
"x": (old_x, cp["x"]),
"y": (old_y, cp["y"]),
"direction": (old_dir, cp["direction"])
})
# Write back to TXT file
with open(txt_file_path, 'w', encoding='utf-8') as f:
json.dump(txt_content, f, indent=2, ensure_ascii=False)
# Add to report
file_entry.append("[Dimension Changes]")
file_entry.append(f"width: {old_width}{new_width}")
file_entry.append(f"height: {old_height}{new_height}")
if cp_changes:
file_entry.append("\n[Connection Point Changes]")
for change in cp_changes:
file_entry.append(f"Connection point {change['id']}:")
file_entry.append(f" x: {change['x'][0]}{change['x'][1]}")
file_entry.append(f" y: {change['y'][0]}{change['y'][1]}")
file_entry.append(f" direction: {change['direction'][0]}{change['direction'][1]}")
processed_files += 1
file_entry.append(f"\nFile processed successfully")
file_entry.append("="*50)
# Add this file's entry to main report
report_content.extend(file_entry)
# Also print to console
print("\n" + "\n".join(file_entry))
else:
skipped_files += 1
# Add processing statistics to report
report_content.append("\n" + "="*50)
report_content.append("Processing Statistics:")
report_content.append(f"Total TXT files found: {total_files}")
report_content.append(f"Total JSON records available: {len(json_data)}")
report_content.append(f"Successfully processed: {processed_files}")
report_content.append(f"Skipped files: {skipped_files}")
if total_files > 0:
success_rate = (processed_files / len(json_data)) * 100
report_content.append(f"Success rate: {success_rate:.2f}%")
report_content.append("="*50)
# Print statistics to console
print("\n" + "="*50)
print("Processing Statistics:")
print(f"Total TXT files found: {total_files}")
print(f"Total JSON records available: {len(json_data)}")
print(f"Successfully processed: {processed_files}")
print(f"Skipped files: {skipped_files}")
if total_files > 0:
success_rate = (processed_files / len(json_data)) * 100
print(f"Success rate: {success_rate:.2f}%")
print("="*50 + "\n")
# Write the report file
with open(log_file_path, 'w', encoding='utf-8') as f:
f.write("\n".join(report_content))
print(f"Modification report saved to: {log_file_path}")
# Example usage
if __name__ == "__main__":
json_path = os.environ.get("JSON_PATH", "JSON")
json_file_path = os.path.join(json_path, "2_calculated_px_cps_output.json")
txt_files_dir = os.environ.get("PROPS_PATH", "props")
process_files(json_file_path, txt_files_dir)
print("\nProcessing complete!")
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"""
SVG XML Batch Modifier Script
This script:
1. Reads a JSON array of items
2. For each item, extracts the "Sivasnr" value
3. Locates and modifies the corresponding XML file
4. Provides comprehensive reporting
"""
import json
import os
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import Element, SubElement, tostring
def process_xml_file(xml_path):
"""
Process a single XML file with proper namespace handling
Returns modification statistics
"""
try:
tree = ET.parse(xml_path)
root = tree.getroot()
# Register and handle SVG namespace
ET.register_namespace('', 'http://www.w3.org/2000/svg')
namespaces = {'svg': 'http://www.w3.org/2000/svg'}
stats = {
'ffe31b_groups': 0,
'ec2525_groups': 0,
'elements_modified': 0,
'modified': False
}
# Process all group elements
for g in root.findall('.//svg:g', namespaces):
stroke = g.get('stroke')
if stroke == "#ffe31b":
stats['ffe31b_groups'] += 1
if 'stroke-width' in g.attrib:
del g.attrib['stroke-width']
stats['modified'] = True
if 'stroke-miterlimit' in g.attrib:
del g.attrib['stroke-miterlimit']
stats['modified'] = True
for child in g.findall('.//svg:path', namespaces):
child.set('stroke-width', '1px')
stats['elements_modified'] += 1
stats['modified'] = True
elif stroke == "#ec2525":
stats['ec2525_groups'] += 1
for attr in ['stroke', 'stroke-width', 'stroke-linejoin']:
if attr in g.attrib:
del g.attrib[attr]
stats['modified'] = True
for child in g.findall('.//svg:path[@stroke-width="1px"]', namespaces):
del child.attrib['stroke-width']
child.set('style', 'stroke:#ec2525;stroke-width:2px')
stats['elements_modified'] += 1
stats['modified'] = True
# Save changes if modified
if stats['modified']:
xml_str = ET.tostring(root, encoding='unicode')
xml_str = xml_str.replace('><', '>\n<').replace('</svg>', '\n</svg>')
with open(xml_path, 'w', encoding='utf-8') as f:
f.write(xml_str)
return stats
except Exception as e:
print(f" Error processing file: {str(e)}")
return None
def main():
"""
Main processing function
"""
json_path=os.environ.get("JSON_PATH","JSON")
json_file_path = os.path.join(json_path,"1_SVGErfassung_updated_new_output.json")
svg_folder_path = os.environ.get("XML_PATH","svg")
try:
# Read and parse JSON file
with open(json_file_path, 'r', encoding='utf-8') as f:
data = json.load(f)
# Verify we have a list of items
if not isinstance(data, list):
print("Error: JSON data should be an array of items")
return
print(f"\nFound {len(data)} items in JSON file")
# Process each item in the JSON array
for index, item in enumerate(data, 1):
if not isinstance(item, dict):
print(f"\nItem {index}: Not a dictionary, skipping")
continue
sivasnr = item.get("Sivasnr")
if not sivasnr:
print(f"\nItem {index}: Missing 'Sivasnr' value, skipping")
continue
print(f"\nProcessing item {index}: Sivasnr = {sivasnr}")
# Build XML filename and path
xml_filename = f"{sivasnr}.xml"
xml_path = os.path.join(svg_folder_path, xml_filename)
if not os.path.exists(xml_path):
print(f" XML file not found: {xml_path}")
continue
print(f" Found XML file: {xml_path}")
# Process the XML file
stats = process_xml_file(xml_path)
if stats is None:
print(" Processing failed")
elif stats['modified']:
print(" File successfully modified")
print(f" - #ffe31b groups: {stats['ffe31b_groups']}")
print(f" - #ec2525 groups: {stats['ec2525_groups']}")
print(f" - Elements modified: {stats['elements_modified']}")
else:
print(" No modifications needed")
print("\nProcessing complete")
except FileNotFoundError:
print("\nError: JSON file not found")
except json.JSONDecodeError:
print("\nError: Invalid JSON format")
except Exception as e:
print(f"\nUnexpected error: {str(e)}")
if __name__ == "__main__":
print("SVG XML Batch Modifier - Starting execution")
main()
@@ -0,0 +1,228 @@
[
{
"SVGname": "APB_110_R400_45_400_821104021.svg",
"Sivasnr": "821104021",
"Winkel":45,
"center_line_width_mm": 669.491,
"center_line_height_mm": 399.505,
"Objekt_width_mm":684.367,
"Objekt_height_mm":435.421
},
{
"SVGname": "APB_110_R400_67_5_339_821104024.svg",
"Sivasnr": "821104024",
"Winkel":67.5,
"center_line_width_mm": 507.820,
"center_line_height_mm": 339.315,
"Objekt_width_mm":527.258,
"Objekt_height_mm":368.405
},
{
"SVGname": "APB_110_R400_90_500_821104022.svg",
"Sivasnr": "821104022",
"Winkel":90,
"center_line_width_mm": 500,
"center_line_height_mm": 500,
"Objekt_width_mm":521.040,
"Objekt_height_mm":521.040
},
{
"SVGname": "APB_110_R500_90_550_550_821104030.svg",
"Sivasnr": "821104030",
"Winkel":90,
"center_line_width_mm": 550,
"center_line_height_mm": 550,
"Objekt_width_mm":571.040,
"Objekt_height_mm":571.040
},
{
"SVGname": "APB_110_R550_22_5_84_821104025.svg",
"Sivasnr": "821104025",
"Winkel":22.5,
"center_line_width_mm": 514.491,
"center_line_height_mm": 122.230,
"Objekt_width_mm":522.542,
"Objekt_height_mm":162.707
},
{
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"y": 866.794,
"direction": 112.5
}
]
},
{
"SVGname": "APB_110_R550_45_191_821104029.svg",
"Sivasnr": "821104029",
"Winkel": 45.0,
"center_line_width_mm": 551.606,
"center_line_height_mm": 190.792,
"Objekt_width_mm": 566.483,
"Objekt_height_mm": 226.709,
"calculated_objekt_width_mm": 566.484,
"calculated_objekt_height_mm": 226.71,
"Objekt_width_px": 2141.022,
"Objekt_height_px": 856.847,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 402.877,
"scale_factor": 1.765278,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 92.191,
"direction": 270.0
},
{
"id": "cp2",
"x": 973.738,
"y": 928.18,
"direction": 135.0
}
]
},
{
"SVGname": "APB_110_R550_45_205_821104037.svg",
"Sivasnr": "821104037",
"Winkel": 45.0,
"center_line_width_mm": 537.249,
"center_line_height_mm": 204.932,
"Objekt_width_mm": 552.126,
"Objekt_height_mm": 240.849,
"calculated_objekt_width_mm": 552.127,
"calculated_objekt_height_mm": 240.85,
"Objekt_width_px": 2086.76,
"Objekt_height_px": 910.289,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 438.894,
"scale_factor": 1.8111808,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 86.826,
"direction": 270.0
},
{
"id": "cp2",
"x": 973.055,
"y": 932.517,
"direction": 135.0
}
]
},
{
"SVGname": "APB_110_R550_45_232_821104026.svg",
"Sivasnr": "821104026",
"Winkel": 45.0,
"center_line_width_mm": 595.265,
"center_line_height_mm": 265.998,
"Objekt_width_mm": 610.142,
"Objekt_height_mm": 301.914,
"calculated_objekt_width_mm": 610.143,
"calculated_objekt_height_mm": 301.916,
"Objekt_width_px": 2306.032,
"Objekt_height_px": 1141.084,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 497.498,
"scale_factor": 1.6389627,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 69.314,
"direction": 270.0
},
{
"id": "cp2",
"x": 975.617,
"y": 945.621,
"direction": 135.0
}
]
},
{
"SVGname": "APB_110_R550_67_5_420_821104028.svg",
"Sivasnr": "821104028",
"Winkel": 67.5,
"center_line_width_mm": 582.427,
"center_line_height_mm": 419.902,
"Objekt_width_mm": 601.865,
"Objekt_height_mm": 448.992,
"calculated_objekt_width_mm": 601.865,
"calculated_objekt_height_mm": 448.994,
"Objekt_width_px": 2274.749,
"Objekt_height_px": 1696.965,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 748.047,
"scale_factor": 1.6615022,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 46.732,
"direction": 270.0
},
{
"id": "cp2",
"x": 967.704,
"y": 979.385,
"direction": 157.5
}
]
},
{
"SVGname": "APB_110_R550_67_5_432_821104027.svg",
"Sivasnr": "821104027",
"Winkel": 67.5,
"center_line_width_mm": 748.658,
"center_line_height_mm": 530.305,
"Objekt_width_mm": 768.095,
"Objekt_height_mm": 559.396,
"calculated_objekt_width_mm": 768.096,
"calculated_objekt_height_mm": 559.397,
"Objekt_width_px": 2903.015,
"Objekt_height_px": 2114.237,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 730.336,
"scale_factor": 1.3019223,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 37.507,
"direction": 270.0
},
{
"id": "cp2",
"x": 974.695,
"y": 982.847,
"direction": 157.5
}
]
},
{
"SVGname": "APB_110_R550_67_5_432_821104027.svg",
"Sivasnr": "OFBogen67",
"Winkel": 67.5,
"center_line_width_mm": 748.658,
"center_line_height_mm": 530.305,
"Objekt_width_mm": 768.095,
"Objekt_height_mm": 559.396,
"calculated_objekt_width_mm": 768.096,
"calculated_objekt_height_mm": 559.397,
"Objekt_width_px": 2903.015,
"Objekt_height_px": 2114.237,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 730.336,
"scale_factor": 1.3019223,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 37.507,
"direction": 270.0
},
{
"id": "cp2",
"x": 974.695,
"y": 982.847,
"direction": 157.5
}
]
},
{
"SVGname": "APB_110_R550_67_5_L_185_170_821104065.svg",
"Sivasnr": "821104065",
"Winkel": 67.5,
"center_line_width_mm": 758.19,
"center_line_height_mm": 496.584,
"Objekt_width_mm": 777.628,
"Objekt_height_mm": 525.674,
"calculated_objekt_width_mm": 777.628,
"calculated_objekt_height_mm": 525.676,
"Objekt_width_px": 2939.045,
"Objekt_height_px": 1986.785,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 678.042,
"scale_factor": 1.2859619,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 39.904,
"direction": 270.0
},
{
"id": "cp2",
"x": 975.003,
"y": 981.716,
"direction": 157.5
}
]
},
{
"SVGname": "APB_110_R550_90_900_605_821104066.svg",
"Sivasnr": "821104066",
"Winkel": 90.0,
"center_line_width_mm": 900.0,
"center_line_height_mm": 605.0,
"Objekt_width_mm": 921.04,
"Objekt_height_mm": 626.04,
"calculated_objekt_width_mm": 921.04,
"calculated_objekt_height_mm": 626.04,
"Objekt_width_px": 3481.071,
"Objekt_height_px": 2366.118,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 681.6,
"scale_factor": 1.0857292,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 33.515,
"direction": 270.0
},
{
"id": "cp2",
"x": 977.156,
"y": 997.227,
"direction": 180.0
}
]
},
{
"SVGname": "APB_110_R630_45_400_821104031.svg",
"Sivasnr": "821104031",
"Winkel": 45.0,
"center_line_width_mm": 865.613,
"center_line_height_mm": 300.559,
"Objekt_width_mm": 880.491,
"Objekt_height_mm": 336.475,
"calculated_objekt_width_mm": 880.491,
"calculated_objekt_height_mm": 336.477,
"Objekt_width_px": 3327.816,
"Objekt_height_px": 1271.707,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 384.817,
"scale_factor": 1.13573,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 62.096,
"direction": 270.0
},
{
"id": "cp2",
"x": 983.103,
"y": 949.152,
"direction": 135.0
}
]
},
{
"SVGname": "APB_110_R630_45_400_821104031.svg",
"Sivasnr": "OFBogen45",
"Winkel": 45.0,
"center_line_width_mm": 865.613,
"center_line_height_mm": 300.559,
"Objekt_width_mm": 880.491,
"Objekt_height_mm": 336.475,
"calculated_objekt_width_mm": 880.491,
"calculated_objekt_height_mm": 336.477,
"Objekt_width_px": 3327.816,
"Objekt_height_px": 1271.707,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 384.817,
"scale_factor": 1.13573,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 62.096,
"direction": 270.0
},
{
"id": "cp2",
"x": 983.103,
"y": 949.152,
"direction": 135.0
}
]
},
{
"SVGname": "APB_110_R630_90_800_800_821104033.svg",
"Sivasnr": "821104033",
"Winkel": 90.0,
"center_line_width_mm": 800.0,
"center_line_height_mm": 800.0,
"Objekt_width_mm": 821.04,
"Objekt_height_mm": 821.04,
"calculated_objekt_width_mm": 821.04,
"calculated_objekt_height_mm": 821.04,
"Objekt_width_px": 3103.121,
"Objekt_height_px": 3103.121,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 1000.0,
"scale_factor": 1.217967,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 25.626,
"direction": 270.0
},
{
"id": "cp2",
"x": 974.374,
"y": 1000.0,
"direction": 180.0
}
]
},
{
"SVGname": "APB_110_R630_90_800_800_821104033.svg",
"Sivasnr": "OFBogen90",
"Winkel": 90.0,
"center_line_width_mm": 800.0,
"center_line_height_mm": 800.0,
"Objekt_width_mm": 821.04,
"Objekt_height_mm": 821.04,
"calculated_objekt_width_mm": 821.04,
"calculated_objekt_height_mm": 821.04,
"Objekt_width_px": 3103.121,
"Objekt_height_px": 3103.121,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 1000.0,
"scale_factor": 1.217967,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 25.626,
"direction": 270.0
},
{
"id": "cp2",
"x": 974.374,
"y": 1000.0,
"direction": 180.0
}
]
},
{
"SVGname": "APB_110_R630_90_850_690_821104041.svg",
"Sivasnr": "821104041",
"Winkel": 90.0,
"center_line_width_mm": 690.0,
"center_line_height_mm": 850.0,
"Objekt_width_mm": 711.04,
"Objekt_height_mm": 871.04,
"calculated_objekt_width_mm": 711.04,
"calculated_objekt_height_mm": 871.04,
"Objekt_width_px": 2687.376,
"Objekt_height_px": 3292.096,
"calculated_SVG_height_px": 1000,
"calculated_SVG_width_px":816.312,
"scale_factor": 1.1480529,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 24.155,
"direction": 270.0
},
{
"id": "cp2",
"x": 0.0,
"y": 1000.0,
"direction": 180.0
}
]
},
{
"SVGname": "APB_110_R630_90_850_870_821104035.svg",
"Sivasnr": "821104035",
"Winkel": 90.0,
"center_line_width_mm": 850.0,
"center_line_height_mm": 870.0,
"Objekt_width_mm": 871.04,
"Objekt_height_mm": 891.04,
"calculated_objekt_width_mm": 871.04,
"calculated_objekt_height_mm": 891.04,
"Objekt_width_px": 3292.096,
"Objekt_height_px": 3367.686,
"calculated_SVG_height_px": 1000,
"calculated_SVG_width_px": 977.554,
"scale_factor": 1.1222841,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 23.613,
"direction": 270.0
},
{
"id": "cp2",
"x": 0.0,
"y": 1000.0,
"direction": 180.0
}
]
},
{
"SVGname": "APB_110_R630_90_850_890_821104034.svg",
"Sivasnr": "821104034",
"Winkel": 90.0,
"center_line_width_mm": 890.0,
"center_line_height_mm": 850.0,
"Objekt_width_mm": 911.04,
"Objekt_height_mm": 871.04,
"calculated_objekt_width_mm": 911.04,
"calculated_objekt_height_mm": 871.04,
"Objekt_width_px": 3443.276,
"Objekt_height_px": 3292.096,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 957.984,
"scale_factor": 1.0976466,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 24.107,
"direction": 270.0
},
{
"id": "cp2",
"x": 976.905,
"y": 998.027,
"direction": 180.0
}
]
},
{
"SVGname": "APB_110_R650_180_L_150_821104043.svg",
"Sivasnr": "821104043",
"Winkel": 180.0,
"center_line_width_mm": 800.0,
"center_line_height_mm": 1300.0,
"Objekt_width_mm": 821.04,
"Objekt_height_mm": 1342.08,
"calculated_objekt_width_mm": 821.04,
"calculated_objekt_height_mm": 1342.08,
"Objekt_width_px": 3103.121,
"Objekt_height_px": 5072.391,
"calculated_SVG_height_px": 1000,
"calculated_SVG_width_px": 613.657,
"scale_factor": 0.7451121,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 15.677,
"direction": 270.0
},
{
"id": "cp2",
"x": 0,
"y": 984.323,
"direction": 270.0
}
]
},
{
"SVGname": "APB_110_R650_180_L_150_821104043.svg",
"Sivasnr": "OFBogen180",
"Winkel": 180.0,
"center_line_width_mm": 800.0,
"center_line_height_mm": 1300.0,
"Objekt_width_mm": 821.04,
"Objekt_height_mm": 1342.08,
"calculated_objekt_width_mm": 821.04,
"calculated_objekt_height_mm": 1342.08,
"Objekt_width_px": 3103.121,
"Objekt_height_px": 5072.391,
"calculated_SVG_height_px": 1000,
"calculated_SVG_width_px": 613.657,
"scale_factor": 0.7451121,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 15.677,
"direction": 270.0
},
{
"id": "cp2",
"x": 0,
"y": 984.323,
"direction": 270.0
}
]
},
{
"SVGname": "APB_60_R515_90_650_821094040.svg",
"Sivasnr": "821094040",
"Winkel": 90.0,
"center_line_width_mm": 650.0,
"center_line_height_mm": 650.0,
"Objekt_width_mm": 671.04,
"Objekt_height_mm": 671.04,
"calculated_objekt_width_mm": 671.04,
"calculated_objekt_height_mm": 671.04,
"Objekt_width_px": 2536.196,
"Objekt_height_px": 2536.196,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 1000.0,
"scale_factor": 1.490224,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 31.354,
"direction": 270.0
},
{
"id": "cp2",
"x": 968.646,
"y": 1000.0,
"direction": 180.0
}
]
},
{
"SVGname": "APB_60_R515_90_810_821094101.svg",
"Sivasnr": "821094101",
"Winkel": 90.0,
"center_line_width_mm": 810.0,
"center_line_height_mm": 810.0,
"Objekt_width_mm": 831.04,
"Objekt_height_mm": 831.04,
"calculated_objekt_width_mm": 831.04,
"calculated_objekt_height_mm": 831.04,
"Objekt_width_px": 3140.916,
"Objekt_height_px": 3140.916,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 1000.0,
"scale_factor": 1.203312,
"connectionPoints": [
{
"id": "cp1",
"x": 0,
"y": 25.318,
"direction": 270.0
},
{
"id": "cp2",
"x": 974.683,
"y": 1000.0,
"direction": 180.0
}
]
}
]
@@ -0,0 +1,12 @@
@echo off
set OFBogen_PATH=%~dp0
set XML_PATH=C:\Program Files\RuleDesigner\RDConfigurator Fusion\WebApi\Editor2D\SSG\shapes\svg
set JSON_PATH=%OFBogen_PATH%JSON
python 4_OFBogen_SVG_XML_Modifier_Script.py
pause
+12
View File
@@ -0,0 +1,12 @@
@echo off
set OFBogen_PATH=%~dp0
set PROPS_PATH=C:\Program Files\RuleDesigner\RDConfigurator Fusion\WebApi\Editor2D\SSG\shapes\props
set JSON_PATH=%OFBogen_PATH%JSON
python 1_calculate_ture_width_and_height_dimensions_with_profile_width.py
python 2_calculations_to_standardize_the_dimensions_and_add_connection_points.py
python 3_update_dimensions_and_connection_points_in_props.py
pause
@@ -1665,7 +1665,7 @@
"SivasnrTEF": "0_B10081+0_B10090"
},
{
"Sivasnr": "834372107+0_B10090+0_B10081",
"Sivasnr": "0_BG081090+834372107",
"ProfilTyp": "WEICHE S D 90°-500/600, KPL. MIT P mit TEF rechts",
"WeichenTyp": "Doppelweiche",
"KurvenWinkel": 90,
@@ -1860,7 +1860,7 @@
"SivasnrTEF": "0_B10080+0_B10090"
},
{
"Sivasnr": "834372110+0_B10090+0_B10080",
"Sivasnr": "0_BG080090+834372110",
"ProfilTyp": "WEICHE S D 90°-700/700, KPL. MIT P mit TEF rechts",
"WeichenTyp": "Doppelweiche",
"KurvenWinkel": 90,
@@ -2067,7 +2067,7 @@
"id": "cp4",
"x": 500.001,
"y": 496.504,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2121,7 +2121,7 @@
"id": "cp4",
"x": 500.001,
"y": 496.504,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2175,7 +2175,7 @@
"id": "cp4",
"x": 500.001,
"y": 496.504,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2286,7 +2286,7 @@
"id": "cp4",
"x": 499.999,
"y": 529.337,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2340,7 +2340,7 @@
"id": "cp4",
"x": 499.999,
"y": 529.337,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2451,7 +2451,7 @@
"id": "cp4",
"x": 500.0,
"y": 420.511,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2505,7 +2505,7 @@
"id": "cp4",
"x": 500.0,
"y": 420.511,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2616,7 +2616,7 @@
"id": "cp4",
"x": 500.0,
"y": 500.843,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2670,7 +2670,7 @@
"id": "cp4",
"x": 500.0,
"y": 500.843,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2724,7 +2724,7 @@
"id": "cp4",
"x": 500.0,
"y": 500.843,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2835,7 +2835,7 @@
"id": "cp4",
"x": 500.0,
"y": 519.872,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2889,7 +2889,7 @@
"id": "cp4",
"x": 500.0,
"y": 519.872,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -2943,7 +2943,7 @@
"id": "cp4",
"x": 500.0,
"y": 519.872,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -3760,7 +3760,7 @@
"id": "cp4",
"x": 500.002,
"y": 0.0,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -3814,7 +3814,7 @@
"id": "cp4",
"x": 500.002,
"y": 0.0,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -3868,7 +3868,7 @@
"id": "cp4",
"x": 500.002,
"y": 0.0,
"direction": 90.0
"direction": 0
},
{
"id": "cp1",
@@ -0,0 +1,259 @@
import json
import sys
import os
from datetime import datetime
def convert_to_float(value):
"""Convert value to float safely, return original if conversion fails"""
try:
return float(value)
except (ValueError, TypeError):
return value
def process_json_file(input_filename, output_filename=None):
"""
Process JSON file and generate output
Args:
input_filename: Input file path (can be relative or absolute)
output_filename: Optional output file path. Auto-generated if not provided
"""
# Get base path from environment variable
json_base_path = os.environ.get("JSON_PATH","JSON")
if not json_base_path:
print("Error: JSON_PATH environment variable not set")
print("Please set JSON_PATH in your .bat file")
sys.exit(1)
# Normalize path (handle path separator issues)
json_base_path = os.path.normpath(json_base_path)
# Build full input path
if os.path.isabs(input_filename):
input_path = input_filename
else:
input_path = os.path.join(json_base_path, input_filename)
# Convert to absolute path and normalize
input_path = os.path.abspath(os.path.normpath(input_path))
# Validate input file
if not os.path.isfile(input_path):
print(f"Error: Input file not found - {input_path}")
print(f"Current working directory: {os.getcwd()}")
sys.exit(1)
print(f"\nReading file: {input_path}")
# Read JSON file
try:
with open(input_path, 'r', encoding='utf-8') as f:
data = json.load(f)
except json.JSONDecodeError as e:
print(f"Error: Invalid JSON format in {input_path}")
print(f"Details: {str(e)}")
sys.exit(1)
except Exception as e:
print(f"Error reading file {input_path}: {str(e)}")
sys.exit(1)
# Print found item count
total_items = len(data)
processed_items = 0
print(f"\nFound {total_items} JSON records")
print("="*50) # Separator line
# 处理JSON数据 (保持原有处理逻辑不变)
for i, item in enumerate(data):
print(f"\nProcessing item {i+1}: {item.get('Sivasnr', 'Unknown')}")
try:
# 转换数值为float
for key in item:
if isinstance(item[key], (int, float, str)) and any(x in key.lower() for x in ['mm', 'width', 'height', 'radius', 'winkel']):
item[key] = convert_to_float(item[key])
# 1. 添加四个新属性并计算它们的值
print("\nStep 1: Adding four new attributes with calculations")
# OFBogen_CP2_x_mm
of_cp2_x = float(item["OFBogen_CP1_x_mm"]) + float(item["OFBogen_center_line_width_mm"])
item["OFBogen_CP2_x_mm"] = round(of_cp2_x, 3)
print(f"Added OFBogen_CP2_x_mm: {item['OFBogen_CP2_x_mm']}")
# TEFBogen_CP2_x_mm
tef_cp2_x = float(item["TEFBogen_CP1_x_mm"]) + float(item["TEFBogen_center_line_width_mm"])
item["TEFBogen_CP2_x_mm"] = round(tef_cp2_x, 3)
print(f"Added TEFBogen_CP2_x_mm: {item['TEFBogen_CP2_x_mm']}")
# OFBogen_CP2_y_mm
of_cp2_y = float(item["OFBogen_CP1_y_mm"]) + float(item["OFBogen_center_line_height_mm"])
item["OFBogen_CP2_y_mm"] = round(of_cp2_y, 3)
print(f"Added OFBogen_CP2_y_mm: {item['OFBogen_CP2_y_mm']}")
# TEFBogen_CP2_y_mm
tef_cp2_y = float(item["TEFBogen_CP1_y_mm"]) + float(item["TEFBogen_center_line_height_mm"])
item["TEFBogen_CP2_y_mm"] = round(tef_cp2_y, 3)
print(f"Added TEFBogen_CP2_y_mm: {item['TEFBogen_CP2_y_mm']}")
# 2. 计算像素尺寸和SVG尺寸
print("\nStep 2: Calculating pixel and SVG dimensions")
# 计算 Gruppe_width_px 和 Gruppe_height_px
item["Gruppe_width_px"] = round(float(item["Gruppe_width_mm"]) * 3.7795, 3)
item["Gruppe_height_px"] = round(float(item["Gruppe_height_mm"]) * 3.7795, 3)
print(f"Calculated Gruppe_width_px: {item['Gruppe_width_px']}")
print(f"Calculated Gruppe_height_px: {item['Gruppe_height_px']}")
# 比较宽度和高度以确定缩放比例
if float(item["Gruppe_width_mm"]) > float(item["Gruppe_height_mm"]):
print("Width is larger, setting calculated_SVG_width to 1000px")
scale = round(1000 / float(item["Gruppe_width_mm"]), 6)
item["calculated_SVG_width_px"] = 1000
item["calculated_SVG_height_px"] = round(float(item["Gruppe_height_mm"]) * scale+3.7795/2, 3)
scale_RD_H = round(1000 / float(item["calculated_SVG_height_px"]), 6)
scale_RD_W = 1
elif float(item["Gruppe_width_mm"]) == float(item["Gruppe_height_mm"]):
print("Width = Height")
scale = round(1000 / float(item["Gruppe_width_mm"]), 6)
item["calculated_SVG_width_px"] = 1000
item["calculated_SVG_height_px"] = round(float(item["Gruppe_height_mm"]) * scale, 3)
scale_RD_H = round(1000 / float(item["calculated_SVG_height_px"]), 6)
scale_RD_W = 1
else:
print("Height is larger, setting calculated_SVG_height to 1000px")
scale = round(1000 / float(item["Gruppe_height_mm"]), 6)
item["calculated_SVG_height_px"] = 1000
item["calculated_SVG_width_px"] = round(float(item["Gruppe_width_mm"]) * scale+3.7795/2, 3)
scale_RD_W = round(1000 / float(item["calculated_SVG_width_px"]), 6)
scale_RD_H = 1
print(f"Calculated scale: {scale}")
print(f"Calculated calculated_SVG_width_px: {item['calculated_SVG_width_px']}")
print(f"Calculated calculated_SVG_height_px: {item['calculated_SVG_height_px']}")
print(f"Calculated scale_RD_W: {scale_RD_W}")
print(f"Calculated scale_RD_H: {scale_RD_H}")
# 3. 创建connectionPoints数组
print("\nStep 3: Creating connectionPoints array")
connection_points = []
# CP1
cp1_x = round(float(item["OFBogen_CP1_x_mm"]) * scale * scale_RD_W, 3)
cp1_y = round(float(item["OFBogen_CP1_y_mm"]) * scale * scale_RD_H, 3)
cp1 = {
"id": "cp1",
"x": cp1_x,
"y": cp1_y,
"direction": 270.0,
"linkClass": "Omniflo"
}
connection_points.append(cp1)
print(f"Created CP1: x={cp1_x}, y={cp1_y}, direction=270.0, linkClass=Omniflo")
# CP2
cp2_x = round(float(item["OFBogen_CP2_x_mm"]) * scale * scale_RD_W, 3)
cp2_y = round(float(item["OFBogen_CP2_y_mm"]) * scale * scale_RD_H, 3)
cp2_direction = round(90 + float(item["KurvenWinkel"]), 1)
cp2 = {
"id": "cp2",
"x": cp2_x,
"y": cp2_y,
"direction": cp2_direction,
"linkClass": "Omniflo"
}
connection_points.append(cp2)
print(f"Created CP2: x={cp2_x}, y={cp2_y}, direction={cp2_direction}, linkClass=Omniflo")
# CP3
cp3_x = round(float(item["TEFBogen_CP1_x_mm"]) * scale * scale_RD_W, 3)
cp3_y = round(float(item["TEFBogen_CP1_y_mm"]) * scale * scale_RD_H, 3)
cp3 = {
"id": "cp3",
"x": cp3_x,
"y": cp3_y,
"direction": 270.0,
"linkClass": "OmnifloTEF"
}
connection_points.append(cp3)
print(f"Created CP3: x={cp3_x}, y={cp3_y}, direction=270.0, linkClass=OmnifloTEF")
# CP4
cp4_x = round(float(item["TEFBogen_CP2_x_mm"]) * scale * scale_RD_W, 3)
cp4_y = round(float(item["TEFBogen_CP2_y_mm"]) * scale * scale_RD_H, 3)
cp4_direction = round(90 + float(item["KurvenWinkel"]), 1)
cp4 = {
"id": "cp4",
"x": cp4_x,
"y": cp4_y,
"direction": cp4_direction,
"linkClass": "OmnifloTEF"
}
connection_points.append(cp4)
print(f"Created CP4: x={cp4_x}, y={cp4_y}, direction={cp4_direction}, linkClass=OmnifloTEF")
item["connectionPoints"] = connection_points
# Increment success counter
processed_items += 1
print(f"Item {i} processed successfully")
except Exception as e:
print(f"Error processing item {i}: {str(e)}")
continue
# Print processing statistics
print("\n" + "="*50)
print("Processing Statistics:")
print(f"Total records found: {total_items}")
print(f"Successfully processed: {processed_items}")
if total_items > 0:
success_rate = (processed_items / total_items) * 100
print(f"Success rate: {success_rate:.2f}%")
print("="*50 + "\n")
# Handle output file path
if output_filename is None:
base_name = os.path.splitext(os.path.basename(input_path))[0]
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
output_filename = f"{base_name}_processed_{timestamp}.json"
# Build output path
if os.path.isabs(output_filename):
output_path = output_filename
else:
output_path = os.path.join(json_base_path, output_filename)
# Ensure output directory exists
os.makedirs(os.path.dirname(output_path) or '.', exist_ok=True)
# Save processed JSON file
try:
with open(output_path, 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2, ensure_ascii=False)
print(f"Processing complete! Results saved to: {output_path}")
print(f"Original file remains unchanged: {input_path}")
except Exception as e:
print(f"\nError saving processed file: {str(e)}")
sys.exit(1)
if __name__ == "__main__":
try:
# Get JSON_PATH from environment
json_path = os.environ.get("JSON_PATH","JSON")
# Default filenames
input_filename = "1_TEF_Boegen_input.json"
output_filename = "1_TEF_Boegen_output.json"
# Use command line arguments if provided
if len(sys.argv) > 1:
input_filename = sys.argv[1]
if len(sys.argv) > 2:
output_filename = sys.argv[2]
process_json_file(input_filename, output_filename)
except Exception as e:
print(f"Error: {str(e)}", file=sys.stderr)
sys.exit(1)
@@ -0,0 +1,152 @@
import json
import os
import glob
from datetime import datetime
def process_files(json_file_path, txt_files_dir):
# Create a log file with timestamp
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
log_file_path = os.path.join(txt_files_dir, f"modification_report_TEFBogen_{timestamp}.txt")
# Read JSON file
with open(json_file_path, 'r', encoding='utf-8') as f:
json_data = json.load(f)
# Create Sivasnr to JSON data mapping
sivasnr_mapping = {item["Sivasnr"]: item for item in json_data}
# Initialize counters
total_files = 0
processed_files = 0
skipped_files = 0
# Prepare report content
report_content = []
report_content.append(f"Modification Report - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
report_content.append(f"JSON Reference File: {json_file_path}")
report_content.append(f"TXT Files Directory: {txt_files_dir}")
report_content.append("="*50 + "\n")
# Process all TXT files
for txt_file_path in glob.glob(os.path.join(txt_files_dir, '*.txt')):
total_files += 1
# Extract Sivasnr from filename
sivasnr = os.path.splitext(os.path.basename(txt_file_path))[0]
# Check if corresponding JSON data exists
if sivasnr in sivasnr_mapping:
json_item = sivasnr_mapping[sivasnr]
# Read TXT file content (using utf-8-sig to handle BOM)
with open(txt_file_path, 'r', encoding='utf-8-sig') as f:
txt_content = json.load(f)
# Prepare entry for this file
file_entry = []
file_entry.append(f"\nProcessing file: {os.path.basename(txt_file_path)}")
file_entry.append("="*50)
# Record old values
old_width = txt_content["width"]
old_height = txt_content["height"]
old_cps = {cp["id"]: {"x": cp["x"], "y": cp["y"], "direction": cp["direction"],"linkClass": cp["linkClass"]}
for cp in txt_content["connectionPoints"]}
# Update width and height
new_width = round(json_item["Gruppe_width_px"], 3)
new_height = round(json_item["Gruppe_height_px"], 3)
txt_content["width"] = new_width
txt_content["height"] = new_height
# Update connectionPoints
cp_changes = []
for cp in txt_content["connectionPoints"]:
cp_id = cp["id"]
# Find corresponding connection point in JSON data
json_cp = next((item for item in json_item["connectionPoints"] if item["id"] == cp_id), None)
if json_cp:
# Record old values
old_x = cp["x"]
old_y = cp["y"]
old_dir = cp["direction"]
old_linkClass = cp["linkClass"]
# Update values
cp["x"] = json_cp["x"]
cp["y"] = json_cp["y"]
cp["direction"] = json_cp["direction"]
cp["linkClass"] = json_cp["linkClass"]
# Record changes
cp_changes.append({
"id": cp_id,
"x": (old_x, cp["x"]),
"y": (old_y, cp["y"]),
"direction": (old_dir, cp["direction"]),
"linkClass": (old_linkClass, cp["linkClass"])
})
# Write back to TXT file
with open(txt_file_path, 'w', encoding='utf-8') as f:
json.dump(txt_content, f, indent=2, ensure_ascii=False)
# Add to report
file_entry.append("[Dimension Changes]")
file_entry.append(f"width: {old_width}{new_width}")
file_entry.append(f"height: {old_height}{new_height}")
if cp_changes:
file_entry.append("\n[Connection Point Changes]")
for change in cp_changes:
file_entry.append(f"Connection point {change['id']}:")
file_entry.append(f" x: {change['x'][0]}{change['x'][1]}")
file_entry.append(f" y: {change['y'][0]}{change['y'][1]}")
file_entry.append(f" direction: {change['direction'][0]}{change['direction'][1]}")
file_entry.append(f" linkClass: {change['linkClass'][0]}{change['linkClass'][1]}")
processed_files += 1
file_entry.append(f"\nFile processed successfully")
file_entry.append("="*50)
# Add this file's entry to main report
report_content.extend(file_entry)
# Also print to console
print("\n" + "\n".join(file_entry))
else:
skipped_files += 1
# Add processing statistics to report
report_content.append("\n" + "="*50)
report_content.append("Processing Statistics:")
report_content.append(f"Total TXT files found: {total_files}")
report_content.append(f"Total JSON records available: {len(json_data)}")
report_content.append(f"Successfully processed: {processed_files}")
report_content.append(f"Skipped files: {skipped_files}")
if total_files > 0:
success_rate = (processed_files / len(json_data)) * 100
report_content.append(f"Success rate: {success_rate:.2f}%")
report_content.append("="*50)
# Print statistics to console
print("\n" + "="*50)
print("Processing Statistics:")
print(f"Total TXT files found: {total_files}")
print(f"Total JSON records available: {len(json_data)}")
print(f"Successfully processed: {processed_files}")
print(f"Skipped files: {skipped_files}")
if total_files > 0:
success_rate = (processed_files / len(json_data)) * 100
print(f"Success rate: {success_rate:.2f}%")
print("="*50 + "\n")
# Write the report file
with open(log_file_path, 'w', encoding='utf-8') as f:
f.write("\n".join(report_content))
print(f"Modification report saved to: {log_file_path}")
# Example usage
if __name__ == "__main__":
json_path = os.environ.get("JSON_PATH", "JSON")
json_file_path = os.path.join(json_path, "1_TEF_Boegen_output.json")
txt_files_dir = os.environ.get("PROPS_PATH", "props")
process_files(json_file_path, txt_files_dir)
print("\nProcessing complete!")
@@ -0,0 +1,174 @@
"""
SVG XML Batch Modifier Script
This script:
1. Reads a JSON array of items
2. For each item, extracts the "Sivasnr" value
3. Locates and modifies the corresponding XML file
4. Provides comprehensive reporting
"""
import json
import os
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import Element, SubElement, tostring
def process_xml_file(xml_path):
"""
Process a single XML file with enhanced style handling
Returns modification statistics
"""
try:
tree = ET.parse(xml_path)
root = tree.getroot()
# Register and handle SVG namespace
ET.register_namespace('', 'http://www.w3.org/2000/svg')
namespaces = {'svg': 'http://www.w3.org/2000/svg'}
stats = {
'ffe31b_groups': 0,
'ec2525_groups': 0,
'other_groups_processed': 0,
'elements_modified': 0,
'modified': False
}
# Process all group elements
for g in root.findall('.//svg:g', namespaces):
stroke = g.get('stroke')
if stroke == "#ffe31b":
stats['ffe31b_groups'] += 1
# Remove group attributes
for attr in ['stroke-width', 'stroke-miterlimit']:
if attr in g.attrib:
del g.attrib[attr]
stats['modified'] = True
# Set stroke-width for all path children
for child in g.findall('.//svg:path', namespaces):
child.set('stroke-width', '1px')
stats['elements_modified'] += 1
stats['modified'] = True
elif stroke == "#ec2525":
stats['ec2525_groups'] += 1
# Remove group attributes
for attr in ['stroke', 'stroke-width', 'stroke-linejoin']:
if attr in g.attrib:
del g.attrib[attr]
stats['modified'] = True
# Modify path children
for child in g.findall('.//svg:path[@stroke-width="1px"]', namespaces):
del child.attrib['stroke-width']
child.set('style', 'stroke:#ec2525;stroke-width:2px')
stats['elements_modified'] += 1
stats['modified'] = True
else:
# Handle groups without specific stroke color
stats['other_groups_processed'] += 1
# Process elements with style="stroke:#ec2525;"
for child in g.findall('.//svg:*[@style]', namespaces):
style = child.get('style', '')
if 'stroke:#ec2525;' in style:
# Remove stroke-width if exists
if 'stroke-width' in child.attrib:
del child.attrib['stroke-width']
stats['modified'] = True
# Update the style attribute
child.set('style', 'stroke:#ec2525;stroke-width:2px;')
stats['elements_modified'] += 1
stats['modified'] = True
# Save changes if modified
if stats['modified']:
xml_str = ET.tostring(root, encoding='unicode')
xml_str = xml_str.replace('><', '>\n<').replace('</svg>', '\n</svg>')
with open(xml_path, 'w', encoding='utf-8') as f:
f.write(xml_str)
return stats
except Exception as e:
print(f" Error processing file: {str(e)}")
return None
def main():
"""
Main processing function
"""
# Configure paths
json_path=os.environ.get("JSON_PATH","JSON")
json_file_path = os.path.join(json_path,"1_TEF_Boegen_input.json")
svg_folder_path = os.environ.get("XML_PATH","svg")
try:
# Read and parse JSON file
with open(json_file_path, 'r', encoding='utf-8') as f:
data = json.load(f)
# Verify we have a list of items
if not isinstance(data, list):
print("Error: JSON data should be an array of items")
return
print(f"\nFound {len(data)} items in JSON file")
# Process each item in the JSON array
for index, item in enumerate(data, 1):
if not isinstance(item, dict):
print(f"\nItem {index}: Not a dictionary, skipping")
continue
sivasnr = item.get("Sivasnr")
if not sivasnr:
print(f"\nItem {index}: Missing 'Sivasnr' value, skipping")
continue
print(f"\nProcessing item {index}: Sivasnr = {sivasnr}")
# Build XML filename and path
xml_filename = f"{sivasnr}.xml"
xml_path = os.path.join(svg_folder_path, xml_filename)
if not os.path.exists(xml_path):
print(f" XML file not found: {xml_path}")
continue
print(f" Found XML file: {xml_path}")
# Process the XML file
stats = process_xml_file(xml_path)
if stats is None:
print(" Processing failed")
elif stats['modified']:
print(" File successfully modified")
print(f" - #ffe31b groups: {stats['ffe31b_groups']}")
print(f" - #ec2525 groups: {stats['ec2525_groups']}")
print(f" - Elements modified: {stats['elements_modified']}")
else:
print(" No modifications needed")
print("\nProcessing complete")
except FileNotFoundError:
print("\nError: JSON file not found")
except json.JSONDecodeError:
print("\nError: Invalid JSON format")
except Exception as e:
print(f"\nUnexpected error: {str(e)}")
if __name__ == "__main__":
print("SVG XML Batch Modifier - Starting execution")
main()
@@ -0,0 +1,166 @@
[{
"Sivasnr": "821104033+0_B10040",
"ProfilTyp": "APB 110 R 630/90° 800/800 mit TEF Aussen",
"Radius": 630,
"KurvenWinkel": 90,
"Gruppe_width_mm":931.30,
"Gruppe_height_mm":931.30,
"OFBogen_center_line_width_mm": 800,
"OFBogen_center_line_height_mm": 800,
"TEFBogen_center_line_width_mm": 900,
"TEFBogen_center_line_height_mm": 900,
"OFBogen_CP1_x_mm":0,
"TEFBogen_CP1_x_mm":0,
"OFBogen_CP1_y_mm":131.30,
"TEFBogen_CP1_y_mm":31.30,
"SivasnrTEF": "0_B10040",
"Antriebsart":1
},
{
"Sivasnr": "821104033+0_B10050",
"ProfilTyp": "APB 110 R 630/90° 800/800 mit TEF Innen",
"Radius": 630,
"KurvenWinkel": 90,
"Gruppe_width_mm":821.040,
"Gruppe_height_mm":821.040,
"OFBogen_center_line_width_mm": 800,
"OFBogen_center_line_height_mm": 800,
"TEFBogen_center_line_width_mm": 700,
"TEFBogen_center_line_height_mm": 700,
"OFBogen_CP1_x_mm":0,
"TEFBogen_CP1_x_mm":0,
"OFBogen_CP1_y_mm":21.040,
"TEFBogen_CP1_y_mm":121.040,
"SivasnrTEF": "0_B10050",
"Antriebsart":1
},
{
"Sivasnr": "821104025+0_B10090",
"ProfilTyp": "APB 110 R 550/22,5° 84/522 mit TEF Innen",
"Radius": 550,
"KurvenWinkel": 22.5,
"Gruppe_width_mm":537.544,
"Gruppe_height_mm":232.057,
"OFBogen_center_line_width_mm": 514.491,
"OFBogen_center_line_height_mm": 122.230,
"TEFBogen_center_line_width_mm": 412.692,
"TEFBogen_center_line_height_mm": 82.090,
"OFBogen_CP1_x_mm":15.002,
"TEFBogen_CP1_x_mm":0,
"OFBogen_CP1_y_mm":21.040,
"TEFBogen_CP1_y_mm":121.049,
"SivasnrTEF": "0_B10090",
"Antriebsart":1
},
{
"Sivasnr": "821104025+0_B10091",
"ProfilTyp": "APB 110 R 550/22,5° 84/522 mit TEF Aussen",
"Radius": 550,
"KurvenWinkel": 22.5,
"Gruppe_width_mm":655.564,
"Gruppe_height_mm":272.978,
"OFBogen_center_line_width_mm": 514.491,
"OFBogen_center_line_height_mm": 122.230,
"TEFBogen_center_line_width_mm": 643.589,
"TEFBogen_center_line_height_mm": 125.683,
"OFBogen_CP1_x_mm":100.867,
"TEFBogen_CP1_x_mm":0,
"OFBogen_CP1_y_mm":131.310,
"TEFBogen_CP1_y_mm":31.300,
"SivasnrTEF": "0_B10091",
"Antriebsart":2
},
{
"Sivasnr": "821104026+0_B10071",
"ProfilTyp": "APB 110 R 550/45° 232/610 mit TEF Innen",
"Radius": 550,
"KurvenWinkel": 45,
"Gruppe_width_mm":610.142,
"Gruppe_height_mm":308.217,
"OFBogen_center_line_width_mm": 595.265,
"OFBogen_center_line_height_mm": 265.998,
"TEFBogen_center_line_width_mm": 398.432,
"TEFBogen_center_line_height_mm": 165.036,
"OFBogen_CP1_x_mm":0,
"TEFBogen_CP1_x_mm":54.446,
"OFBogen_CP1_y_mm":21.040,
"TEFBogen_CP1_y_mm":121.049,
"SivasnrTEF": "0_B10071",
"Antriebsart":1
},
{
"Sivasnr": "821104031+0_B10060",
"ProfilTyp": "APB 110 R 630/45° 400/825 mit TEF Aussen",
"Radius": 630,
"KurvenWinkel": 45,
"Gruppe_width_mm":958.874,
"Gruppe_height_mm":446.746,
"OFBogen_center_line_width_mm": 865.614,
"OFBogen_center_line_height_mm": 300.559,
"TEFBogen_center_line_width_mm": 936.741,
"TEFBogen_center_line_height_mm":329.985,
"OFBogen_CP1_x_mm":0.276,
"TEFBogen_CP1_x_mm":0,
"OFBogen_CP1_y_mm":131.310,
"TEFBogen_CP1_y_mm":31.30,
"SivasnrTEF": "0_B10060",
"Antriebsart":2
},
{
"Sivasnr": "821104031+0_B10070",
"ProfilTyp": "APB 110 R 630/45° 400/825 mit TEF Innen",
"Radius": 630,
"KurvenWinkel": 45,
"Gruppe_width_mm":880.942,
"Gruppe_height_mm":414.496,
"OFBogen_center_line_width_mm": 865.614,
"OFBogen_center_line_height_mm": 300.559,
"TEFBogen_center_line_width_mm": 759.396,
"TEFBogen_center_line_height_mm": 271.313,
"OFBogen_CP1_x_mm":0.453,
"TEFBogen_CP1_x_mm":0,
"OFBogen_CP1_y_mm":21.04,
"TEFBogen_CP1_y_mm":121.049,
"SivasnrTEF": "0_B10070",
"Antriebsart":1
},
{
"Sivasnr": "821104024+0_B10081",
"ProfilTyp": "APB 110 R 400/67,5° 339/508 mit TEF Innen",
"Radius": 400,
"KurvenWinkel": 67.5,
"Gruppe_width_mm":527.258,
"Gruppe_height_mm":368.405,
"OFBogen_center_line_width_mm": 507.820,
"OFBogen_center_line_height_mm": 339.315,
"TEFBogen_center_line_width_mm": 306.339,
"TEFBogen_center_line_height_mm": 198.675,
"OFBogen_CP1_x_mm":0,
"TEFBogen_CP1_x_mm":76.402,
"OFBogen_CP1_y_mm":21.040,
"TEFBogen_CP1_y_mm":121.049,
"SivasnrTEF": "0_B10081",
"Antriebsart":1
},
{
"Sivasnr": "821104027+0_B10080",
"ProfilTyp": "APB 110 R 550/67,5° 488/778 mit TEF Innen",
"Radius": 550,
"KurvenWinkel": 67.5,
"Gruppe_width_mm":768.095,
"Gruppe_height_mm":559.396,
"OFBogen_center_line_width_mm": 748.658,
"OFBogen_center_line_height_mm": 530.305,
"TEFBogen_center_line_width_mm": 469.752,
"TEFBogen_center_line_height_mm": 353.635,
"OFBogen_CP1_x_mm":0,
"TEFBogen_CP1_x_mm":138.902,
"OFBogen_CP1_y_mm":21.040,
"TEFBogen_CP1_y_mm":121.050,
"SivasnrTEF": "0_B10080",
"Antriebsart":1
}
]
@@ -0,0 +1,506 @@
[
{
"Sivasnr": "821104033+0_B10040",
"ProfilTyp": "APB 110 R 630/90° 800/800 mit TEF Aussen",
"Radius": 630.0,
"KurvenWinkel": 90.0,
"Gruppe_width_mm": 931.3,
"Gruppe_height_mm": 931.3,
"OFBogen_center_line_width_mm": 800.0,
"OFBogen_center_line_height_mm": 800.0,
"TEFBogen_center_line_width_mm": 900.0,
"TEFBogen_center_line_height_mm": 900.0,
"OFBogen_CP1_x_mm": 0.0,
"TEFBogen_CP1_x_mm": 0.0,
"OFBogen_CP1_y_mm": 131.3,
"TEFBogen_CP1_y_mm": 31.3,
"SivasnrTEF": "0_B10040",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 800.0,
"TEFBogen_CP2_x_mm": 900.0,
"OFBogen_CP2_y_mm": 931.3,
"TEFBogen_CP2_y_mm": 931.3,
"Gruppe_width_px": 3519.848,
"Gruppe_height_px": 3519.848,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 1000.0,
"connectionPoints": [
{
"id": "cp1",
"x": 0.0,
"y": 140.986,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 859.014,
"y": 1000.0,
"direction": 180.0,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 0.0,
"y": 33.609,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 966.391,
"y": 1000.0,
"direction": 180.0,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104033+0_B10050",
"ProfilTyp": "APB 110 R 630/90° 800/800 mit TEF Innen",
"Radius": 630.0,
"KurvenWinkel": 90.0,
"Gruppe_width_mm": 821.04,
"Gruppe_height_mm": 821.04,
"OFBogen_center_line_width_mm": 800.0,
"OFBogen_center_line_height_mm": 800.0,
"TEFBogen_center_line_width_mm": 700.0,
"TEFBogen_center_line_height_mm": 700.0,
"OFBogen_CP1_x_mm": 0.0,
"TEFBogen_CP1_x_mm": 0.0,
"OFBogen_CP1_y_mm": 21.04,
"TEFBogen_CP1_y_mm": 121.04,
"SivasnrTEF": "0_B10050",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 800.0,
"TEFBogen_CP2_x_mm": 700.0,
"OFBogen_CP2_y_mm": 821.04,
"TEFBogen_CP2_y_mm": 821.04,
"Gruppe_width_px": 3103.121,
"Gruppe_height_px": 3103.121,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 1000.0,
"connectionPoints": [
{
"id": "cp1",
"x": 0.0,
"y": 25.626,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 974.374,
"y": 1000.0,
"direction": 180.0,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 0.0,
"y": 147.423,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 852.577,
"y": 1000.0,
"direction": 180.0,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104025+0_B10090",
"ProfilTyp": "APB 110 R 550/22,5° 84/522 mit TEF Innen",
"Radius": 550.0,
"KurvenWinkel": 22.5,
"Gruppe_width_mm": 537.544,
"Gruppe_height_mm": 232.057,
"OFBogen_center_line_width_mm": 514.491,
"OFBogen_center_line_height_mm": 122.23,
"TEFBogen_center_line_width_mm": 412.692,
"TEFBogen_center_line_height_mm": 82.09,
"OFBogen_CP1_x_mm": 15.002,
"TEFBogen_CP1_x_mm": 0.0,
"OFBogen_CP1_y_mm": 21.04,
"TEFBogen_CP1_y_mm": 121.049,
"SivasnrTEF": "0_B10090",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 529.493,
"TEFBogen_CP2_x_mm": 412.692,
"OFBogen_CP2_y_mm": 143.27,
"TEFBogen_CP2_y_mm": 203.139,
"Gruppe_width_px": 2031.648,
"Gruppe_height_px": 877.059,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 433.588,
"connectionPoints": [
{
"id": "cp1",
"x": 27.908,
"y": 90.272,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 985.023,
"y": 614.701,
"direction": 112.5,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 0.0,
"y": 519.362,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 767.736,
"y": 871.57,
"direction": 112.5,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104025+0_B10091",
"ProfilTyp": "APB 110 R 550/22,5° 84/522 mit TEF Aussen",
"Radius": 550.0,
"KurvenWinkel": 22.5,
"Gruppe_width_mm": 655.564,
"Gruppe_height_mm": 272.978,
"OFBogen_center_line_width_mm": 514.491,
"OFBogen_center_line_height_mm": 122.23,
"TEFBogen_center_line_width_mm": 643.589,
"TEFBogen_center_line_height_mm": 125.683,
"OFBogen_CP1_x_mm": 100.867,
"TEFBogen_CP1_x_mm": 0.0,
"OFBogen_CP1_y_mm": 131.31,
"TEFBogen_CP1_y_mm": 31.3,
"SivasnrTEF": "0_B10091",
"Antriebsart": 2,
"OFBogen_CP2_x_mm": 615.358,
"TEFBogen_CP2_x_mm": 643.589,
"OFBogen_CP2_y_mm": 253.54,
"TEFBogen_CP2_y_mm": 156.983,
"Gruppe_width_px": 2477.704,
"Gruppe_height_px": 1031.72,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 418.291,
"connectionPoints": [
{
"id": "cp1",
"x": 153.863,
"y": 478.855,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 938.67,
"y": 924.598,
"direction": 112.5,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 0.0,
"y": 114.143,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 981.733,
"y": 572.478,
"direction": 112.5,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104026+0_B10071",
"ProfilTyp": "APB 110 R 550/45° 232/610 mit TEF Innen",
"Radius": 550.0,
"KurvenWinkel": 45.0,
"Gruppe_width_mm": 610.142,
"Gruppe_height_mm": 308.217,
"OFBogen_center_line_width_mm": 595.265,
"OFBogen_center_line_height_mm": 265.998,
"TEFBogen_center_line_width_mm": 398.432,
"TEFBogen_center_line_height_mm": 165.036,
"OFBogen_CP1_x_mm": 0.0,
"TEFBogen_CP1_x_mm": 54.446,
"OFBogen_CP1_y_mm": 21.04,
"TEFBogen_CP1_y_mm": 121.049,
"SivasnrTEF": "0_B10071",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 595.265,
"TEFBogen_CP2_x_mm": 452.878,
"OFBogen_CP2_y_mm": 287.038,
"TEFBogen_CP2_y_mm": 286.085,
"Gruppe_width_px": 2306.032,
"Gruppe_height_px": 1164.906,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 507.046,
"connectionPoints": [
{
"id": "cp1",
"x": 0.0,
"y": 68.009,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 975.617,
"y": 927.815,
"direction": 135.0,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 89.235,
"y": 391.276,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 742.25,
"y": 924.734,
"direction": 135.0,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104031+0_B10060",
"ProfilTyp": "APB 110 R 630/45° 400/825 mit TEF Aussen",
"Radius": 630.0,
"KurvenWinkel": 45.0,
"Gruppe_width_mm": 958.874,
"Gruppe_height_mm": 446.746,
"OFBogen_center_line_width_mm": 865.614,
"OFBogen_center_line_height_mm": 300.559,
"TEFBogen_center_line_width_mm": 936.741,
"TEFBogen_center_line_height_mm": 329.985,
"OFBogen_CP1_x_mm": 0.276,
"TEFBogen_CP1_x_mm": 0.0,
"OFBogen_CP1_y_mm": 131.31,
"TEFBogen_CP1_y_mm": 31.3,
"SivasnrTEF": "0_B10060",
"Antriebsart": 2,
"OFBogen_CP2_x_mm": 865.89,
"TEFBogen_CP2_x_mm": 936.741,
"OFBogen_CP2_y_mm": 431.869,
"TEFBogen_CP2_y_mm": 361.285,
"Gruppe_width_px": 3624.064,
"Gruppe_height_px": 1688.477,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 467.797,
"connectionPoints": [
{
"id": "cp1",
"x": 0.288,
"y": 292.738,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 903.028,
"y": 962.793,
"direction": 135.0,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 0.0,
"y": 69.779,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 976.918,
"y": 805.436,
"direction": 135.0,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104031+0_B10070",
"ProfilTyp": "APB 110 R 630/45° 400/825 mit TEF Innen",
"Radius": 630.0,
"KurvenWinkel": 45.0,
"Gruppe_width_mm": 880.942,
"Gruppe_height_mm": 414.496,
"OFBogen_center_line_width_mm": 865.614,
"OFBogen_center_line_height_mm": 300.559,
"TEFBogen_center_line_width_mm": 759.396,
"TEFBogen_center_line_height_mm": 271.313,
"OFBogen_CP1_x_mm": 0.453,
"TEFBogen_CP1_x_mm": 0.0,
"OFBogen_CP1_y_mm": 21.04,
"TEFBogen_CP1_y_mm": 121.049,
"SivasnrTEF": "0_B10070",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 866.067,
"TEFBogen_CP2_x_mm": 759.396,
"OFBogen_CP2_y_mm": 321.599,
"TEFBogen_CP2_y_mm": 392.362,
"Gruppe_width_px": 3329.52,
"Gruppe_height_px": 1566.588,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 472.404,
"connectionPoints": [
{
"id": "cp1",
"x": 0.514,
"y": 50.557,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 983.115,
"y": 772.777,
"direction": 135.0,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 0.0,
"y": 290.871,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 862.028,
"y": 942.814,
"direction": 135.0,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104024+0_B10081",
"ProfilTyp": "APB 110 R 400/67,5° 339/508 mit TEF Innen",
"Radius": 400.0,
"KurvenWinkel": 67.5,
"Gruppe_width_mm": 527.258,
"Gruppe_height_mm": 368.405,
"OFBogen_center_line_width_mm": 507.82,
"OFBogen_center_line_height_mm": 339.315,
"TEFBogen_center_line_width_mm": 306.339,
"TEFBogen_center_line_height_mm": 198.675,
"OFBogen_CP1_x_mm": 0.0,
"TEFBogen_CP1_x_mm": 76.402,
"OFBogen_CP1_y_mm": 21.04,
"TEFBogen_CP1_y_mm": 121.049,
"SivasnrTEF": "0_B10081",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 507.82,
"TEFBogen_CP2_x_mm": 382.741,
"OFBogen_CP2_y_mm": 360.355,
"TEFBogen_CP2_y_mm": 319.724,
"Gruppe_width_px": 1992.772,
"Gruppe_height_px": 1392.387,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 700.609,
"connectionPoints": [
{
"id": "cp1",
"x": 0.0,
"y": 56.957,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 963.134,
"y": 975.51,
"direction": 157.5,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 144.904,
"y": 327.689,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 725.908,
"y": 865.519,
"direction": 157.5,
"linkClass": "OmnifloTEF"
}
]
},
{
"Sivasnr": "821104027+0_B10080",
"ProfilTyp": "APB 110 R 550/67,5° 488/778 mit TEF Innen",
"Radius": 550.0,
"KurvenWinkel": 67.5,
"Gruppe_width_mm": 768.095,
"Gruppe_height_mm": 559.396,
"OFBogen_center_line_width_mm": 748.658,
"OFBogen_center_line_height_mm": 530.305,
"TEFBogen_center_line_width_mm": 469.752,
"TEFBogen_center_line_height_mm": 353.635,
"OFBogen_CP1_x_mm": 0.0,
"TEFBogen_CP1_x_mm": 138.902,
"OFBogen_CP1_y_mm": 21.04,
"TEFBogen_CP1_y_mm": 121.05,
"SivasnrTEF": "0_B10080",
"Antriebsart": 1,
"OFBogen_CP2_x_mm": 748.658,
"TEFBogen_CP2_x_mm": 608.654,
"OFBogen_CP2_y_mm": 551.345,
"TEFBogen_CP2_y_mm": 474.685,
"Gruppe_width_px": 2903.015,
"Gruppe_height_px": 2114.237,
"calculated_SVG_width_px": 1000,
"calculated_SVG_height_px": 730.18,
"connectionPoints": [
{
"id": "cp1",
"x": 0.0,
"y": 37.515,
"direction": 270.0,
"linkClass": "Omniflo"
},
{
"id": "cp2",
"x": 974.694,
"y": 983.056,
"direction": 157.5,
"linkClass": "Omniflo"
},
{
"id": "cp3",
"x": 180.84,
"y": 215.834,
"direction": 270.0,
"linkClass": "OmnifloTEF"
},
{
"id": "cp4",
"x": 792.42,
"y": 846.37,
"direction": 157.5,
"linkClass": "OmnifloTEF"
}
]
}
]
@@ -0,0 +1,12 @@
@echo off
set TEFBogen_PATH=%~dp0
set XML_PATH=C:\Program Files\RuleDesigner\RDConfigurator Fusion\WebApi\Editor2D\SSG\shapes\svg
set JSON_PATH=%TEFBogen_PATH%JSON
python 4_TEFBogen_SVG_XML_Modifier_Script.py
pause
@@ -0,0 +1,12 @@
@echo off
set TEFBogen_PATH=%~dp0
set PROPS_PATH=C:\Program Files\RuleDesigner\RDConfigurator Fusion\WebApi\Editor2D\SSG\shapes\props
set JSON_PATH=%TEFBogen_PATH%JSON
python 1_process_TEFBogen_json_1.py
python 2_update_props_TEF_Boegen_from_json_1.py
pause