Update dxf__omar3_2.py

dxf__omar3_2.py

@@ -83,6 +83,18 @@ from collections import Counter
 
 from math import isclose
 
+from typing import List, Tuple, Any, Set
+from shapely.geometry import Polygon, MultiPolygon, GeometryCollection
+from shapely.ops import unary_union
+
+import random
+import string
+import zlib
+import base64
+import datetime
+import uuid
+from xml.etree.ElementTree import Element, SubElement, tostring, ElementTree
+from xml.dom.minidom import parseString
 
 """## Notes"""
 
@@ -98,7 +110,340 @@ This portion is used to convert vertices read from dxf to pixels in order to acc
 
 
 '''
+AllhatchesCodes=  {
+  'Brick':'<</Length 172/Type/Pattern/PatternType 1/PaintType 1/TilingType 1/Resources<<>>/Matrix[1 0 0 1 0 0]/BBox[0 0 18 18]/XStep 18/YStep 18>>\nstream\n{fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w -1 18 m 19.00001 18 l 9 18 m 9 9 l -1 9 m 19.00001 9 l 0 9 m 0 0 l -1 0 m 19.00001 0 l 18 0 m 18 9 l S \nendstream'
+,
+'DiagonalBrick': '''<</Length 138
+    /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+    /Resources <<>>
+    /Matrix [1 0 0 1 0 0]
+    /BBox [0 0 18 18]
+    /XStep 18/YStep 18>>stream
+    {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w -1 -1 m 19.00001 19.00001 l 9 9 m 0 18 l -1 17 m 1 19.00001 l 17 -1 m 19.00001 1 l S
+    endstream'''
+,
+'Horizontal':'''<</Length 113
+  /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+  /Resources<<>>
+  /Matrix[1 0 0 1 0 0]
+  /BBox[0 0 18 18]
+  /XStep 18/YStep 18>>\nstream\n
+  {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w -1 13.5 m 19.00001 13.5 l -1 4.5 m 19.00001 4.5 l S
+  endstream'''
+,
+'Vertical':'''<</Length 97
+  /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+  /Resources<<>>
+  /Matrix[1 0 0 1 0 0]
+  /BBox[0 0 18 18]
+  /XStep 18/YStep 18>>\nstream\n
+  {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w 4.5 19.00001 m 4.5 -1 l 13.5 19.00001 m 13.5 -1 l S
+  endstream'''
+,
+'DiagonalDown':'''<</Length 133
+  /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+  /Resources<<>>/Matrix[1 0 0 1 0 0]
+  /BBox[0 0 18 18]/XStep 18/YStep 18>>\nstream\n
+  {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w -1 19.00001 m 19.00001 -1 l -1 1 m 1 -1 l 17 19.00001 m 19.00001 17 l S
+  endstream'''
+,
+'DiagonalUp':'''<</Length 125
+  /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+  /Resources<<>>/Matrix[1 0 0 1 0 0]
+  /BBox[0 0 18 18]/XStep 18/YStep 18>>\nstream\n
+  {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w -1 17 m 1 19.00001 l -1 -1 m 19.00001 19.00001 l 17 -1 m 19.00001 1 l S
+  endstream'''
+,
+'Grid':'''<</Length 163
+    /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+    /Resources<<>>/Matrix[1 0 0 1 0 0]
+    /BBox[0 0 18 18]/XStep 18/YStep 18>>\nstream\n
+    {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w 4.5 19.00001 m 4.5 -1 l 13.5 19.00001 m 13.5 -1 l -1 13.5 m 19.00001 13.5 l -1 4.5 m 19.00001 4.5 l S
+    endstream'''
+,
+'Weave':'''<</Length 260
+    /Type/Pattern/PatternType 1/PaintType 1/TilingType 1
+    /Resources<<>>/Matrix[1 0 0 1 0 0]
+    /BBox[0 0 18 18]/XStep 18/YStep 18>>\nstream\n
+    {fillcolor} rg 0 0 18 18 re f {strokecolor} RG 1 w -1 19.00001 m 4.5 13.5 l -1 7.999999 m 10 19.00001 l 7.999999 19.00001 m 19.00001 7.999999 l 17 19.00001 m 19.00001 17 l -1 -1 m 13.5 13.5 l 4.5 4.5 m 10 -1 l 9 9 m 19.00001 -1 l 18 9 m 13.5 4.5 l S
+    endstream'''
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12.07143 3.857143 12.07143 c 3.581 12.07143 3.357143 11.84757 3.357143 11.57143 c 3.357143 11.29529 3.581 11.07143 3.857143 11.07143 c h 3.857143 13.64286 m 4.133285 13.64286 4.357142 13.86672 4.357142 14.14286 c 4.357142 14.419 4.133285 14.64286 3.857143 14.64286 c 3.581 14.64286 3.357143 14.419 3.357143 14.14286 c 3.357143 13.86672 3.581 13.64286 3.857143 13.64286 c h 3.857143 16.21429 m 4.133285 16.21429 4.357142 16.43814 4.357142 16.71429 c 4.357142 16.99043 4.133285 17.21429 3.857143 17.21429 c 3.581 17.21429 3.357143 16.99043 3.357143 16.71429 c 3.357143 16.43814 3.581 16.21429 3.857143 16.21429 c h 6.428572 0.7857141 m 6.704715 0.7857141 6.928572 1.009572 6.928572 1.285714 c 6.928572 1.561857 6.704715 1.785714 6.428572 1.785714 c 6.15243 1.785714 5.928572 1.561857 5.928572 1.285714 c 5.928572 1.009572 6.15243 0.7857141 6.428572 0.7857141 c h 6.428572 3.357143 m 6.704715 3.357143 6.928572 3.581 6.928572 3.857143 c 6.928572 4.133285 6.704715 4.357142 6.428572 4.357142 c 6.15243 4.357142 5.928572 4.133285 5.928572 3.857143 c 5.928572 3.581 6.15243 3.357143 6.428572 3.357143 c h 6.428572 5.928572 m 6.704715 5.928572 6.928572 6.15243 6.928572 6.428572 c 6.928572 6.704715 6.704715 6.928572 6.428572 6.928572 c 6.15243 6.928572 5.928572 6.704715 5.928572 6.428572 c 5.928572 6.15243 6.15243 5.928572 6.428572 5.928572 c h 6.428572 8.5 m 6.704715 8.5 6.928572 8.723858 6.928572 9 c 6.928572 9.276142 6.704715 9.5 6.428572 9.5 c 6.15243 9.5 5.928572 9.276142 5.928572 9 c 5.928572 8.723858 6.15243 8.5 6.428572 8.5 c h 6.428572 11.07143 m 6.704715 11.07143 6.928572 11.29529 6.928572 11.57143 c 6.928572 11.84757 6.704715 12.07143 6.428572 12.07143 c 6.15243 12.07143 5.928572 11.84757 5.928572 11.57143 c 5.928572 11.29529 6.15243 11.07143 6.428572 11.07143 c h 6.428572 13.64286 m 6.704715 13.64286 6.928572 13.86672 6.928572 14.14286 c 6.928572 14.419 6.704715 14.64286 6.428572 14.64286 c 6.15243 14.64286 5.928572 14.419 5.928572 14.14286 c 5.928572 13.86672 6.15243 13.64286 6.428572 13.64286 c h 6.428572 16.21429 m 6.704715 16.21429 6.928572 16.43814 6.928572 16.71429 c 6.928572 16.99043 6.704715 17.21429 6.428572 17.21429 c 6.15243 17.21429 5.928572 16.99043 5.928572 16.71429 c 5.928572 16.43814 6.15243 16.21429 6.428572 16.21429 c h 9 0.7857141 m 9.276142 0.7857141 9.5 1.009572 9.5 1.285714 c 9.5 1.561857 9.276142 1.785714 9 1.785714 c 8.723858 1.785714 8.5 1.561857 8.5 1.285714 c 8.5 1.009572 8.723858 0.7857141 9 0.7857141 c h 9 3.357143 m 9.276142 3.357143 9.5 3.581 9.5 3.857143 c 9.5 4.133285 9.276142 4.357142 9 4.357142 c 8.723858 4.357142 8.5 4.133285 8.5 3.857143 c 8.5 3.581 8.723858 3.357143 9 3.357143 c h 9 5.928572 m 9.276142 5.928572 9.5 6.15243 9.5 6.428572 c 9.5 6.704715 9.276142 6.928572 9 6.928572 c 8.723858 6.928572 8.5 6.704715 8.5 6.428572 c 8.5 6.15243 8.723858 5.928572 9 5.928572 c h 9 8.5 m 9.276142 8.5 9.5 8.723858 9.5 9 c 9.5 9.276142 9.276142 9.5 9 9.5 c 8.723858 9.5 8.5 9.276142 8.5 9 c 8.5 8.723858 8.723858 8.5 9 8.5 c h 9 11.07143 m 9.276142 11.07143 9.5
+  11.29529 9.5 11.57143 c 9.5 11.84757 9.276142 12.07143 9 12.07143 c 8.723858 12.07143 8.5 11.84757 8.5 11.57143 c 8.5 11.29529 8.723858 11.07143 9 11.07143 c h 9 13.64286 m 9.276142 13.64286 9.5 13.86672 9.5 14.14286 c 9.5 14.419 9.276142 14.64286 9 14.64286 c 8.723858 14.64286 8.5 14.419 8.5 14.14286 c 8.5 13.86672 8.723858 13.64286 9 13.64286 c h 9 16.21429 m 9.276142 16.21429 9.5 16.43814 9.5 16.71429 c 9.5 16.99043 9.276142 17.21429 9 17.21429 c 8.723858 17.21429 8.5 16.99043 8.5 16.71429 c 8.5 16.43814 8.723858 16.21429 9 16.21429 c h 11.57143 0.7857141 m 11.84757 0.7857141 12.07143 1.009572 12.07143 1.285714 c 12.07143 1.561857 11.84757 1.785714 11.57143 1.785714 c 11.29529 1.785714 11.07143 1.561857 11.07143 1.285714 c 11.07143 1.009572 11.29529 0.7857141 11.57143 0.7857141 c h 11.57143 3.357143 m 11.84757 3.357143 12.07143 3.581 12.07143 3.857143 c 12.07143 4.133285 11.84757 4.357142 11.57143 4.357142 c 11.29529 4.357142 11.07143 4.133285 11.07143 3.857143 c 11.07143 3.581 11.29529 3.357143 11.57143 3.357143 c h 11.57143 5.928572 m 11.84757 5.928572 12.07143 6.15243 12.07143 6.428572 c 12.07143 6.704715 11.84757 6.928572 11.57143 6.928572 c 11.29529 6.928572 11.07143 6.704715 11.07143 6.428572 c 11.07143 6.15243 11.29529 5.928572 11.57143 5.928572 c h 11.57143 8.5 m 11.84757 8.5 12.07143 8.723858 12.07143 9 c 12.07143 9.276142 11.84757 9.5 11.57143 9.5 c 11.29529 9.5 11.07143 9.276142 11.07143 9 c 11.07143 8.723858 11.29529 8.5 11.57143 8.5 c h 11.57143 11.07143 m 11.84757 11.07143 12.07143 11.29529 12.07143 11.57143 c 12.07143 11.84757 11.84757 12.07143 11.57143 12.07143 c 11.29529 12.07143 11.07143 11.84757 11.07143 11.57143 c 11.07143 11.29529 11.29529 11.07143 11.57143 11.07143 c h 11.57143 13.64286 m 11.84757 13.64286 12.07143 13.86672 12.07143 14.14286 c 12.07143 14.419 11.84757 14.64286 11.57143 14.64286 c 11.29529 14.64286 11.07143 14.419 11.07143 14.14286 c 11.07143 13.86672 11.29529 13.64286 11.57143 13.64286 c h 11.57143 16.21429 m 11.84757 16.21429 12.07143 16.43814 12.07143 16.71429 c 12.07143 16.99043 11.84757 17.21429 11.57143 17.21429 c 11.29529 17.21429 11.07143 16.99043 11.07143 16.71429 c 11.07143 16.43814 11.29529 16.21429 11.57143 16.21429 c h 14.14286 0.7857141 m 14.419 0.7857141 14.64286 1.009572 14.64286 1.285714 c 14.64286 1.561857 14.419 1.785714 14.14286 1.785714 c 13.86672 1.785714 13.64286 1.561857 13.64286 1.285714 c 13.64286 1.009572 13.86672 0.7857141 14.14286 0.7857141 c h 14.14286 3.357143 m 14.419 3.357143 14.64286 3.581 14.64286 3.857143 c 14.64286 4.133285 14.419 4.357142 14.14286 4.357142 c 13.86672 4.357142 13.64286 4.133285 13.64286 3.857143 c 13.64286 3.581 13.86672 3.357143 14.14286 3.357143 c h 14.14286 5.928572 m 14.419 5.928572 14.64286 6.15243 14.64286 6.428572 c 14.64286 6.704715 14.419 6.928572 14.14286 6.928572 c 13.86672 6.928572 13.64286 6.704715 13.64286 6.428572 c 13.64286 6.15243 13.86672 5.928572 14.14286 5.928572 c h 14.14286 8.5 m 14.419 8.5 14.64286 8.723858 14.64286 9 c 14.64286 9.276142 14.419 9.5 14.14286 9.5 c 13.86672 9.5 13.64286 9.276142 13.64286 9 c 13.64286 8.723858 13.86672 8.5 14.14286 8.5 c h 14.14286 11.07143 m 14.419 11.07143 14.64286 11.29529 14.64286 11.57143 c 14.64286 11.84757 14.419 12.07143 14.14286 12.07143 c 13.86672 12.07143 13.64286 11.84757 13.64286 11.57143 c 13.64286 11.29529 13.86672 11.07143 14.14286 11.07143 c h 14.14286 13.64286 m 14.419 13.64286 14.64286 13.86672 14.64286 14.14286 c 14.64286 14.419 14.419 14.64286 14.14286 14.64286 c 13.86672 14.64286 13.64286 14.419 13.64286 14.14286 c 13.64286 13.86672 13.86672 13.64286 14.14286 13.64286 c h 14.14286 16.21429 m 14.419 16.21429 14.64286 16.43814 14.64286 16.71429 c 14.64286 16.99043 14.419 17.21429 14.14286 17.21429 c 13.86672 17.21429 13.64286 16.99043 13.64286 16.71429 c 13.64286 16.43814 13.86672 16.21429 14.14286 16.21429 c h 16.71429 0.7857141 m 16.99043 0.7857141 17.21429 1.009572 17.21429 1.285714 c 17.21429 1.561857 16.99043 1.785714 16.71429 1.785714 c 16.43814 1.785714 16.21429 1.561857 16.21429 1.285714 c 16.21429 1.009572 16.43814 0.7857141 16.71429 0.7857141 c h 16.71429 3.357143 m 16.99043 3.357143 17.21429 3.581 17.21429 3.857143 c 17.21429 4.133285 16.99043 4.357142 16.71429 4.357142 c 16.43814 4.357142 16.21429 4.133285 16.21429 3.857143 c 16.21429 3.581 16.43814 3.357143 16.71429 3.357143 c h 16.71429 5.928572 m 16.99043 5.928572 17.21429 6.15243 17.21429 6.428572 c 17.21429 6.704715 16.99043 6.928572 16.71429 6.928572 c 16.43814 6.928572 16.21429 6.704715 16.21429 6.428572 c 16.21429 6.15243 16.43814 5.928572 16.71429 5.928572 c h 16.71429 8.5 m 16.99043 8.5 17.21429 8.723858 17.21429 9 c 17.21429 9.276142 16.99043 9.5 16.71429 9.5 c 16.43814 9.5 16.21429 9.276142 16.21429 9 c 16.21429 8.723858 16.43814 8.5 16.71429 8.5 c h 16.71429 11.07143 m 16.99043 11.07143 17.21429 11.29529 17.21429 11.57143 c 17.21429 11.84757 16.99043 12.07143 16.71429 12.07143 c 16.43814 12.07143 16.21429 11.84757 16.21429 11.57143 c 16.21429 11.29529 16.43814 11.07143 16.71429 11.07143 c h 16.71429 13.64286 m 16.99043 13.64286 17.21429 13.86672 17.21429 14.14286 c 17.21429 14.419 16.99043 14.64286 16.71429 14.64286 c 16.43814 14.64286 16.21429 14.419 16.21429 14.14286 c 16.21429 13.86672 16.43814 13.64286 16.71429 13.64286 c h 16.71429 16.21429 m 16.99043 16.21429 17.21429 16.43814 17.21429 16.71429 c 17.21429 16.99043 16.99043 17.21429 16.71429 17.21429 c 16.43814 17.21429 16.21429 16.99043 16.21429 16.71429 c 16.21429 16.43814 16.43814 16.21429 16.71429 16.21429 c h
+  {strokecolor} rg f
+  endstream'''
+}
 
+HatchStyleTemplates={
+  'Brick' :'/PatternName(Brick)', #BBObjPtr
+  'DiagonalBrick':'/PatternName(Diagonal Brick)',
+  'Horizontal':'/PatternName(Horizontal)',
+  'Vertical':'/PatternName(Vertical)',
+  'DiagonalDown':'/PatternName(Diagonal Down)',
+  'DiagonalUp':'/PatternName(Diagonal Up)',
+  'Grid':'/PatternName(Grid)',
+  'Weave':'/PatternName(Weave)',
+  '10Dots':'/PatternName(10% Dots)',
+  '20Dots':'/PatternName(20% Dots)',
+  '30Dots':'/PatternName(30% Dots)'
+}
+
+def calculate_bounding_rect(vertices):
+    xs = [pt[0] for pt in vertices]
+    ys = [pt[1] for pt in vertices]
+    min_x = min(xs)
+    max_x = max(xs)
+    min_y = min(ys)
+    max_y = max(ys)
+    return [min_x, min_y, max_x, max_y]
+def generate_annotation_xml_block(vertices, area_text, author, custom_data: dict, column_order: list, index: int,
+                                   type_internal: str = 'Bluebeam.PDF.Annotations.AnnotationMeasureArea',
+                                   subject: str = 'Area Measurement',
+                                   label: str = '',opacity:str='',
+                                   color:str='', linestyle:str='',
+                                   hatchstyle:str='',hatchLinescolor:str='',
+                                    bb_objptrMeas:str=''):
+    now = datetime.datetime.utcnow()
+    mod_date = now.strftime("D:%Y%m%d%H%M%S+00'00'")
+    creation_date = now.isoformat() + 'Z'
+    id_str = "fitz-" + uuid.uuid4().hex[:4].upper()
+
+    vert_str = ' '.join([f'{x:.4f}' for point in vertices for x in point])
+    ordered_column_values = [f'({custom_data.get(col, "")})' for col in column_order]
+    bsi_column_data = ''.join(ordered_column_values)
+    meastype=''
+    if subject.startswith('Area'):
+      meastype='129'
+      polygonpolylineDimension='/PolygonDimension'
+      polygonpolyline='/Polygon'
+    elif subject.startswith('Perimeter'):
+      meastype='130'
+      polygonpolylineDimension='/PolyLineDimension'
+      polygonpolyline='/PolyLine'
+    rectvertices=calculate_bounding_rect(vertices)
+
+    raw_text = f'''<<
+/DS(font: Helvetica 12pt; text-align:center; line-height:13.8pt; color:#FF0000)
+/Cap false
+/AlignOnSegment true
+/MeasurementTypes {meastype}
+/SlopeType 1
+/PitchRun 12
+/IT
+{polygonpolylineDimension}
+/Vertices[{vert_str}]
+/IC[{color}]
+/Pattern/{hatchstyle}/PatternColor[{hatchLinescolor}]
+/FillOpacity {opacity}
+/T({author})
+/CA {opacity}
+/RC(<?xml version="1.0"?><body xmlns:xfa="http://www.xfa.org/schema/xfa-data/1.0/" xfa:contentType="text/html" xfa:APIVersion="BluebeamPDFRevu:2018" xfa:spec="2.2.0" style="font:Helvetica 12pt; text-align:center; line-height:13.8pt; color:#FF0000" xmlns="http://www.w3.org/1999/xhtml"><p>{area_text}</p></body>)
+/Label({label})
+/Subj({subject})
+/Measure/BBObjPtr_{bb_objptrMeas}
+/BSIColumnData[{bsi_column_data}]
+/NM({id_str})
+/Subtype/{polygonpolyline}
+/Rect[{rectvertices[0]} {rectvertices[1]} {rectvertices[2]} {rectvertices[3]}]
+/Contents({area_text})
+/F 4
+/C[{color}]
+/BS{linestyle}
+/M({mod_date})
+>>'''.encode('utf-8')
+
+    compressed = zlib.compress(raw_text)
+    base64_raw = base64.b16encode(compressed).lower().decode()
+
+    annotation = Element('Annotation')
+    SubElement(annotation, 'Page').text = '1'
+    SubElement(annotation, 'Contents').text = area_text
+    SubElement(annotation, 'ModDate').text = creation_date
+    SubElement(annotation, 'Color').text = '#B7B7E8'
+    SubElement(annotation, 'Type').text = 'Polygon'
+    SubElement(annotation, 'ID').text = id_str
+    SubElement(annotation, 'TypeInternal').text = type_internal
+    SubElement(annotation, 'Raw').text = base64_raw
+    SubElement(annotation, 'Index').text = str(index)
+
+    custom = SubElement(annotation, 'Custom')
+    for key, value in custom_data.items():
+        SubElement(custom, key).text = value
+
+    SubElement(annotation, 'Subject').text = subject
+    SubElement(annotation, 'CreationDate').text = creation_date
+    SubElement(annotation, 'Author').text = author
+    SubElement(annotation, 'Label').text = label
+
+    return annotation
+
+def generate_bb_objptr():
+    return ''.join(random.choices(string.ascii_uppercase, k=16))
+
+def compresslikeBBRaw(textToCompress):
+  decompressedX = textToCompress.encode('utf-8')
+  print(decompressedX)
+  recompressedX = zlib.compress(decompressedX)
+  print(recompressedX.hex())
+  return recompressedX.hex()
+
+def setBrickHatch(fillcolor,strokecolor):
+  # resourceid='789cf30b0877f2f40cf30f758ff48e0a0df3040029f004fd'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['Brick'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['Brick'],compressedRaw, resourceid
+
+def setDiagonalBrickHatch(fillcolor,strokecolor):
+  # resourceid='789c0b0d8cf47274f60d0df28a740ef4f4f3020029ab04da'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['DiagonalBrick'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['DiagonalBrick'],compressedRaw,resourceid
+
+def setHorizontalHatch(fillcolor,strokecolor):
+  # resourceid='789cf3720b76f6f072f173f58cf071f209f00000273604a3'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['Horizontal'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['Horizontal'],compressedRaw,resourceid
+
+def setVerticalHatch(fillcolor,strokecolor):
+  # resourceid='789cf30d080ef4f609088b74740ff0890a7607002a1904f0'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['Vertical'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return  'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['Vertical'],compressedRaw,resourceid
+
+def setDiagonalDownHatch(fillcolor,strokecolor):
+  # resourceid='789cf3f28b74f477f7770b0c7675f68f74f60300288f04c3'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['DiagonalDown'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['DiagonalDown'],compressedRaw,resourceid
+
+def setDiagonalUpHatch(fillcolor,strokecolor):
+  # resourceid='789c0b8a70f30df4f70b09f40cf6f108757606002a2304dc'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['DiagonalUp'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return  'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['DiagonalUp'],compressedRaw,resourceid
+
+def setGridHatch(fillcolor,strokecolor):
+  # resourceid='789c730b71738e0a760cf3758972f370740a0300286b04ba'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['Grid'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return  'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['Grid'],compressedRaw,resourceid
+
+def setWeaveHatch(fillcolor,strokecolor):
+  # resourceid='789cf30af775f2f1f776720d8972740c8af40500285c04c6'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['Weave'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['Weave'],compressedRaw,resourceid
+
+def set10DotsHatch(fillcolor,strokecolor):
+  # resourceid='789cf3740f71f6770d0e8c0a0f76f50e0df00600291c04e4'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['10Dots'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['10Dots'],compressedRaw,resourceid
+
+def set20DotsHatch(fillcolor,strokecolor):
+  # resourceid='789c738f0cf70bf5f0f0770a0df471760df7000029b004d5'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['20Dots'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['20Dots'],compressedRaw,resourceid
+
+def set30DotsHatch(fillcolor,strokecolor):
+  # resourceid='789cf38c747789f4f68a8c0cf2f6f2f676f2070029b104dc'
+  randombb_objptr=generate_bb_objptr()
+  resourceid=compresslikeBBRaw(randombb_objptr)
+  compressedRaw=compresslikeBBRaw(AllhatchesCodes['30Dots'].format(fillcolor=fillcolor, strokecolor=strokecolor))
+  return 'BBObjPtr_'+randombb_objptr+HatchStyleTemplates['30Dots'],compressedRaw,resourceid
+
+def save_multiple_annotations_bax(annotations, output_path, column_order,pdfWidth,pdfHeight):
+    """
+    annotations: list of dicts, each with:
+      - vertices: list of [x, y]
+      - text: str (label/tooltip)
+      - author: str
+      - custom_data: dict of custom field values
+      - type_internal: str (e.g., Bluebeam.PDF.Annotations.AnnotationMeasurePerimeter)
+      - subject: str (e.g., Perimeter Measurement)
+    """
+    globalhatches=[]
+    scales=[]
+    doc = Element('Document', Version='1')
+    ########## Subelement1 - page ################
+    page = SubElement(doc, 'Page', Index='0')
+    SubElement(page, 'Label').text = '1'
+    SubElement(page, 'Width').text = str(pdfWidth)
+    SubElement(page, 'Height').text = str(pdfHeight)
+
+    for i, ann in enumerate(annotations):
+
+        bb_objptrMeas=generate_bb_objptr()
+        resourceidComp=compresslikeBBRaw(bb_objptrMeas)
+        scales.append(resourceidComp)
+
+        hatchstyle_key = ann.get('hatchstyle')  # e.g., 'Brick'
+        if hatchstyle_key not in globalhatches and hatchstyle_key:
+          globalhatches.append([hatchstyle_key[2],hatchstyle_key[1]]) # id, raw
+          hatchstyle=hatchstyle_key[0]
+        else:
+          hatchstyle='none'
+
+        annotation_xml = generate_annotation_xml_block(
+            vertices=ann['vertices'],
+            area_text=ann['text'],
+            author=ann['author'],
+            custom_data=ann['custom_data'],
+            column_order=column_order,
+            index=i,
+            bb_objptrMeas=bb_objptrMeas,
+            type_internal=ann.get('type_internal', 'Bluebeam.PDF.Annotations.AnnotationMeasureArea'),
+            subject=ann.get('subject', 'Area Measurement'),
+            label=ann.get('label', 'label1'),
+            opacity=ann.get('opacity', ''),
+            color=ann.get('color', ''),
+            linestyle=ann.get('linestyle', ''),
+            hatchstyle=hatchstyle,
+            hatchLinescolor=ann.get('hatchLinescolor',''),
+        )
+        page.append(annotation_xml)
+    ################# Subelement 2 - Global resources############
+    GlobalResources = SubElement(doc, 'GlobalResources')
+    for hatch in globalhatches:
+        Resource = SubElement(GlobalResources, 'Resource')
+        SubElement(Resource, 'ID').text = hatch[0]
+        SubElement(Resource, 'Raw').text = hatch[1]
+    for scale in scales:
+        Resource = SubElement(GlobalResources, 'Resource')
+        SubElement(Resource, 'ID').text = scale
+        SubElement(Resource, 'Raw').text = '789c85d04f0b82401005f0af3247bd34a35176b085503c55847f22a80e2a4b7858ad7537e8dba7951ea2a5e330efc783e7fb983eae1c373c6fb5e498e842f577bcc6d872a014b00407848d87e310dd6a5170193552e40a33abfb0540139ace5ccff316188243844962d98c9d3134b297eba2f4255626d1dee06d3e200a4149cd47989ae0c99dd32fb8ebe0a8f7265dea3fb5b9bc7095d5950a9aface655b3575bf070d8b30f604438f6873'
+    pretty_xml = parseString(tostring(doc)).toprettyxml(indent="  ")
+    with open(output_path, 'w', encoding='utf-8') as f:
+        f.write(pretty_xml)
+
+    print(f" Saved {len(annotations)} annotations to {output_path}")
 
 """PDF to image"""
 
@@ -1272,6 +1617,436 @@ def adjustannotations(OutputPdfStage1,text_with_positions):
   return output_pdf_io.read() , annotations_data
 
   
+def _order_points_monotonic(points, eps=1e-9):
+    """
+    Order a list of (x,y) points along their main axis (PCA),
+    then refine ordering by greedy nearest-neighbor but never stepping
+    backward along the principal-axis projection (monotonic).
+    Returns ordered list of (x,y).
+    """
+    if not points:
+        return []
+    if len(points) <= 2:
+        return list(points)
+
+    pts = np.array(points, dtype=float)  # shape (n,2)
+    mean = pts.mean(axis=0)
+    centered = pts - mean
+
+    # PCA via SVD
+    try:
+        _, _, vt = np.linalg.svd(centered, full_matrices=False)
+        principal = vt[0]  # principal axis direction (unit-ish)
+    except Exception:
+        # fallback to simple x or y sort if SVD fails
+        return sorted(points, key=lambda p: (p[0], p[1]))
+
+    # projection scalars along principal axis
+    proj = centered.dot(principal)  # length n array
+
+    # sort indices by projection (ascending)
+    idxs = list(np.argsort(proj))
+    proj_sorted = proj[idxs]
+
+    # greedy monotonic walk: start from first index (smallest projection)
+    ordered = []
+    remaining = set(idxs)
+    curr_idx = idxs[0]
+    ordered.append(tuple(pts[curr_idx].tolist()))
+    remaining.remove(curr_idx)
+
+    while remaining:
+        # candidates that do not go backwards along projection
+        cand = [i for i in remaining if proj[i] >= proj[curr_idx] - eps]
+        if not cand:
+            # if none, pick nearest among remaining (rare)
+            cand = list(remaining)
+
+        # choose candidate with minimum Euclidean distance to current point
+        curr_pt = pts[curr_idx]
+        best = min(cand, key=lambda i: np.hypot(*(pts[i] - curr_pt)))
+        ordered.append(tuple(pts[best].tolist()))
+        remaining.remove(best)
+        curr_idx = best
+
+    return ordered
+
+
+def find_nearby_vertices(shapes, distance_threshold=0.5):
+    """
+    shapes: list structured as [ vertices_list, area, perimeter, color_tuple ]
+            where vertices_list is [(x,y), ...]
+    distance_threshold: maximum absolute difference in x and y to consider two vertices 'close'
+
+    Returns:
+        intersections: [ [ [(x,y), ...] ], ... ]
+        grouped_shapes: list of grouped shapes (each group is a merged list of shape indices)
+    """
+    intersections = []
+    grouped_shapes = []  # new array to collect shape groups
+    used = set()
+
+    n = len(shapes)
+    for i in range(n):
+        for j in range(i + 1, n):
+            shape1 = shapes[i]
+            shape2 = shapes[j]
+
+            # Skip if same or invalid color
+            if (
+                shape1[3] == shape2[3] or
+                shape1[3] in [(0,0,0), (255,255,255)] or
+                shape2[3] in [(0,0,0), (255,255,255)]
+            ):
+                continue
+
+            verts1 = list(shape1[0])
+            verts2 = list(shape2[0])
+            if len(verts1) > 1 and verts1[0] == verts1[-1]:
+                verts1 = verts1[:-1]
+            if len(verts2) > 1 and verts2[0] == verts2[-1]:
+                verts2 = verts2[:-1]
+
+            close_points = []
+            for (x1, y1) in verts1:
+                for (x2, y2) in verts2:
+                    if abs(x1 - x2) <= distance_threshold and abs(y1 - y2) <= distance_threshold:
+                        p = (float(x2), float(y2))
+                        if p not in close_points:
+                            close_points.append(p)
+
+            if close_points:
+                # Order + dedup (optional)
+                ordered = _order_points_monotonic(close_points)
+                dedup = []
+                for pt in ordered:
+                    if not dedup or (abs(pt[0]-dedup[-1][0])>1e-6 or abs(pt[1]-dedup[-1][1])>1e-6):
+                        dedup.append(pt)
+
+                if len(dedup) >= 2:
+                    intersections.append([dedup])
+
+                # ---- new: group these two shapes together ----
+                group = {i, j}
+                # merge if overlapping with existing groups
+                merged = False
+                for g in grouped_shapes:
+                    if not group.isdisjoint(g):
+                        g.update(group)
+                        merged = True
+                        break
+                if not merged:
+                    grouped_shapes.append(group)
+
+    # Convert grouped indices into grouped shapes
+    grouped_shapes_final = []
+    for g in grouped_shapes:
+        merged_verts = []
+        colors = set()
+        for idx in g:
+            merged_verts.extend(shapes[idx][0])
+            colors.add(shapes[idx][3])
+        grouped_shapes_final.append([merged_verts, None, None, list(colors)])
+
+    return intersections, grouped_shapes_final
+
+def process_polygons(polygons, imgg, dxfratio, rotationangle, derotationMatrix, rotationOld, width, height):
+    processed_shapes = []
+
+    for polygon in polygons:
+        cntPoints = []
+        cntPoints1 = []
+        shapeePerimeter = []
+        shapeeArea = []
+        Text_Detected = 0
+
+        blackImgShapes = np.zeros(imgg.shape[:2], dtype="uint8")
+        blackImgShapes = cv2.cvtColor(blackImgShapes, cv2.COLOR_GRAY2BGR)
+
+        # Handle nested or flat structure
+        vertices = polygon
+        print("vertices = ", vertices)
+
+        for vertex in vertices:
+            for pt in vertex:
+                x = pt[0] * dxfratio
+                y = pt[1] * dxfratio
+                if rotationangle == 0 and y < 0:
+                    y = -y
+                cntPoints.append([int(x), int(y)])
+                cntPoints1.append([x, y])
+
+        # Draw contour (for mask/image purposes)
+        cv2.drawContours(blackImgShapes, [np.array(cntPoints)], -1, (255, 255, 255), thickness=-1)
+
+        # Build perimeter points after derotation
+        for px, py in cntPoints1:
+            p = fitz.Point(px, py) * derotationMatrix
+            shapeePerimeter.append([p[0], p[1]])
+
+        # Apply flip and rotation to this polygon only
+        shapeePerimeter = np.flip(np.array(shapeePerimeter), 1).tolist()
+        shapeePerimeter = rotate_polygon(shapeePerimeter, rotationangle, rotationOld, width, height)
+
+        # Append in [[polygon_points]] format
+        processed_shapes.append(shapeePerimeter)
+
+    return processed_shapes
+
+
+def process_grouped_shapes(grouped_shapes, imgg, dxfratio, rotationangle, derotationMatrix, rotationOld, width, height):
+    """
+    Processes grouped shapes (merged polygons).
+
+    grouped_shapes: list of [vertices_list, None, None, colors_list]
+    Returns: list of [coords, area, perimeter, color]
+    """
+    processed_shapes = []
+
+    for group in grouped_shapes:
+        merged_vertices = group[0]   # all vertices from the group
+        colors = group[3]            # list of colors (can pick the first or merge info)
+
+        cntPoints = []
+        cntPoints1 = []
+        shapeePerimeter = []
+
+        blackImgShapes = np.zeros(imgg.shape[:2], dtype="uint8")
+        blackImgShapes = cv2.cvtColor(blackImgShapes, cv2.COLOR_GRAY2BGR)
+
+        for pt in merged_vertices:
+            x = pt[0] * dxfratio
+            y = pt[1] * dxfratio
+            if rotationangle == 0 and y < 0:
+                y = -y
+            cntPoints.append([int(x), int(y)])
+            cntPoints1.append([x, y])
+
+        if not cntPoints:
+            continue
+
+        # Draw contour for area/perimeter
+        contour_np = np.array(cntPoints, dtype=np.int32)
+        cv2.drawContours(blackImgShapes, [contour_np], -1, (255, 255, 255), thickness=-1)
+
+        area = cv2.contourArea(contour_np)
+        perimeter = cv2.arcLength(contour_np, True)
+
+        # Apply derotation + transform
+        for px, py in cntPoints1:
+            p = fitz.Point(px, py) * derotationMatrix
+            shapeePerimeter.append([p[0], p[1]])
+
+        # Flip + rotate polygon
+        shapeePerimeter = np.flip(np.array(shapeePerimeter), 1).tolist()
+        shapeePerimeter = rotate_polygon(shapeePerimeter, rotationangle, rotationOld, width, height)
+
+        # Pack result in full structure
+        processed_shapes.append([shapeePerimeter, area, perimeter, colors[0] if colors else (0,0,0)])
+
+    return processed_shapes
+
+class DSU:
+    def __init__(self, n: int):
+        self.p = list(range(n))
+        self.r = [0]*n
+    def find(self, x: int) -> int:
+        while self.p[x] != x:
+            self.p[x] = self.p[self.p[x]]
+            x = self.p[x]
+        return x
+    def union(self, a: int, b: int):
+        ra, rb = self.find(a), self.find(b)
+        if ra == rb: return
+        if self.r[ra] < self.r[rb]:
+            self.p[ra] = rb
+        elif self.r[ra] > self.r[rb]:
+            self.p[rb] = ra
+        else:
+            self.p[rb] = ra
+            self.r[ra] += 1
+
+# ---------- small helpers ----------
+def _ensure_vertices_list(verts_any) -> List[Tuple[float, float]]:
+    """Accept [(x,y), ...] or [[(x,y), ...]] and return a flat list of (x,y) floats."""
+    if verts_any and isinstance(verts_any[0], (list, tuple)) and len(verts_any) == 1 \
+       and verts_any[0] and isinstance(verts_any[0][0], (list, tuple)):
+        verts_any = verts_any[0]
+    return [(float(x), float(y)) for (x, y) in verts_any]
+
+def _bbox(verts):
+    xs = [p[0] for p in verts]; ys = [p[1] for p in verts]
+    return (min(xs), min(ys), max(xs), max(ys))
+
+def _boxes_manhattan_gap(b1, b2):
+    minx1, miny1, maxx1, maxy1 = b1
+    minx2, miny2, maxx2, maxy2 = b2
+    dx = max(0.0, max(minx1 - maxx2, minx2 - maxx1))
+    dy = max(0.0, max(miny1 - maxy2, miny2 - maxy1))
+    return dx, dy
+
+def _shapes_quick_close(verts1, verts2, axis_threshold):
+    """Quick AABB gate then vertex-vertex proximity check (axis threshold)."""
+    b1 = _bbox(verts1); b2 = _bbox(verts2)
+    dx_box, dy_box = _boxes_manhattan_gap(b1, b2)
+    if dx_box > axis_threshold or dy_box > axis_threshold:
+        return False
+    for (x1,y1) in verts1:
+        for (x2,y2) in verts2:
+            if abs(x1 - x2) <= axis_threshold and abs(y1 - y2) <= axis_threshold:
+                return True
+    return False
+
+# --------------------------
+# 1) Gather groups and produce unioned polygons
+# --------------------------
+def gather_and_union_groups(
+    hatched_areas: List[Any],
+    axis_threshold: float = 0.5,
+    require_diff_color: bool = True,
+    skip_colors: Set[Tuple[int,int,int]] = None,
+) -> List[Tuple[List[Tuple[float,float]], float, float, Tuple[int,int,int]]]:
+    """
+    Group shapes that are close (chain merging), then UNITE the original polygons of each group.
+    Returns list of (coords, area, perimeter, color) where coords is the outer boundary of each polygon
+    produced by the union (for MultiPolygon each part is appended as a separate result).
+    - hatched_areas items: [ vertices, area, perimeter, color ]
+    """
+    if skip_colors is None:
+        skip_colors = set()
+
+    # collect valid polygon geometries and metadata
+    polys = []
+    colors = []
+    areas = []
+    perims = []
+    for item in hatched_areas:
+        if not item or len(item) < 4:
+            continue
+        verts_any, area, perim, color = item[0], item[1], item[2], item[3]
+        if color in skip_colors:
+            continue
+        verts = _ensure_vertices_list(verts_any)
+        if len(verts) < 3:
+            continue
+        try:
+            poly = Polygon(verts)
+            if not poly.is_valid or poly.is_empty:
+                # try fix by buffering 0
+                poly = poly.buffer(0)
+            if poly.is_empty:
+                continue
+            polys.append(poly)
+            colors.append(tuple(color))
+            areas.append(float(area) if isinstance(area, (int,float)) else poly.area)
+            perims.append(float(perim) if isinstance(perim, (int,float)) else poly.length)
+        except Exception:
+            continue
+
+    m = len(polys)
+    if m == 0:
+        return []
+
+    # group indices using DSU with chain merging
+    dsu = DSU(m)
+    for i in range(m):
+        for j in range(i+1, m):
+            if require_diff_color and colors[i] == colors[j]:
+                continue
+            verts_i = list(polys[i].exterior.coords)
+            verts_j = list(polys[j].exterior.coords)
+            if _shapes_quick_close(verts_i, verts_j, axis_threshold):
+                dsu.union(i, j)
+
+    # collect components
+    comp = {}
+    for i in range(m):
+        r = dsu.find(i)
+        comp.setdefault(r, []).append(i)
+
+    results = []
+    for root, members in comp.items():
+        group_polys = [polys[k] for k in members]
+        try:
+            unioned = unary_union(group_polys)
+        except Exception:
+            # fallback: union iteratively
+            u = group_polys[0]
+            for p in group_polys[1:]:
+                u = u.union(p)
+            unioned = u
+
+        # unioned might be Polygon, MultiPolygon, GeometryCollection
+        def _handle_polygon(polygon_geom, rep_color):
+            coords = [(float(x), float(y)) for x,y in polygon_geom.exterior.coords]
+            area = polygon_geom.area
+            perim = polygon_geom.length
+            results.append((coords, area, perim, rep_color))
+
+        # choose representative color: first member's color
+        rep_color = colors[members[0]] if members else (0,0,0)
+
+        if isinstance(unioned, Polygon):
+            _handle_polygon(unioned, rep_color)
+        elif isinstance(unioned, MultiPolygon) or isinstance(unioned, GeometryCollection):
+            # GeometryCollection may have polygons inside
+            for geom in getattr(unioned, "geoms", []):
+                if isinstance(geom, Polygon):
+                    _handle_polygon(geom, rep_color)
+        else:
+            # unexpected geometry — skip
+            continue
+
+    return results
+
+# --------------------------
+# 2) process_grouped_shapes -> produce processed list ready for drawing
+# --------------------------
+def process_grouped_shapes(
+    grouped_polys: List[Tuple[List[Tuple[float,float]], float, float, Tuple[int,int,int]]],
+    imgg, dxfratio, rotationangle, derotationMatrix, rotationOld, width, height
+) -> List[Tuple[List[Tuple[float,float]], float, float, Tuple[int,int,int]]]:
+    """
+    For each grouped polygon (coords, area, perim, color), scale, derotate, rotate and return
+    processed polygon in same (coords, area, perim, color) format, coords as list of [x,y] floats.
+    """
+    processed = []
+    for coords, area, perim, color in grouped_polys:
+        if not coords:
+            continue
+
+        cntPoints = []
+        cntPoints1 = []
+        # convert/scaling
+        for (x,y) in coords:
+            xs = x * dxfratio
+            ys = y * dxfratio
+            if rotationangle == 0 and ys < 0:
+                ys = -ys
+            cntPoints.append([int(xs), int(ys)])
+            cntPoints1.append([xs, ys])
+
+        if not cntPoints1:
+            continue
+
+        # build derotated perimeter points
+        shapeePerimeter = []
+        for px, py in cntPoints1:
+            p = fitz.Point(px, py) * derotationMatrix
+            shapeePerimeter.append([p[0], p[1]])
+
+        # flip and rotate (use your rotate_polygon)
+        shapeePerimeter = np.flip(np.array(shapeePerimeter), 1).tolist()
+        shapeePerimeter = rotate_polygon(shapeePerimeter, rotationangle, rotationOld, width, height)
+
+        # ensure type and length
+        final_coords = [(float(x), float(y)) for x,y in shapeePerimeter]
+        if len(final_coords) < 3:
+            continue
+
+        processed.append((final_coords, area, perim, color))
+
+    return processed
 
     
 def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,SearchArray,pdfpath=0,pdfname=0,pdf_content=0):
@@ -1314,6 +2089,17 @@ def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,SearchArray,pdfpath=0,pdfna
 
 
   hatched_areas,Legendarray = get_hatched_areas(datadoc,dxfpath,FinalRatio,rotationangle,SearchArray)
+    
+  nearby,grouped_shapes_final=find_nearby_vertices(hatched_areas)
+  processed_intersections = process_polygons(nearby, img, dxfratio, rotationangle, derotationMatrix,rotationOld,width,height)
+
+  groups = gather_and_union_groups(hatched_areas, axis_threshold=0.5,
+                                 require_diff_color=True,
+                                 skip_colors={(0,0,0),(255,255,255)})
+
+  processed_grouped_shapes = process_grouped_shapes(groups,
+    imgg, dxfratio, rotationangle, derotationMatrix, rotationOld, width, height)
+    
   allshapes=[]
   # Iterate through each polygon in metric units
   NewColors = []
@@ -1324,6 +2110,9 @@ def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,SearchArray,pdfpath=0,pdfna
   i=0
   flagcolor = 0
   ColorCheck=[]
+    
+  XMLArea = []
+  XMLPerimeter = []
 
 
   for polygon in hatched_areas:
@@ -1468,6 +2257,18 @@ def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,SearchArray,pdfpath=0,pdfna
 
             
       cv2.drawContours(imgg, [np.array(cntPoints)], -1, ([NewColors[2],NewColors[1],NewColors[0]]), thickness=-1)
+
+      vertices_area = [
+        [[float(x), float(y)] for x, y in shapeeArea],  # vertices
+        str(polygon[1]),NewColors                                  # area
+      ]
+      XMLArea.append(vertices_area)
+
+      vertices_Perimeter = [
+        [[float(x), float(y)] for x, y in shapeePerimeter],  # vertices
+        str(polygon[1]),NewColors                                  # area
+      ]
+      XMLPerimeter.append(vertices_Perimeter)
                     
       annot11 = page2.add_polygon_annot( points=shapeeArea)  # 'Polygon'
       annot11.set_border(width=0.2)
@@ -1489,6 +2290,33 @@ def mainFunctionDrawImgPdf(datadoc,dxfpath, dxfratio,SearchArray,pdfpath=0,pdfna
       i += 1
   alpha = 0.8  # Transparency factor.
 
+  for shapes in processed_intersections:
+      annot13 = page2.add_polyline_annot(points=shapes)  # 'Polygon'
+      annot13.set_border(width=0.8)
+      annot13.set_colors(stroke=(0,0,1))
+      annot13.set_info(content='Perimeter='+str(1)+' m',subject='Perimeter Measurement', title="Trim Measurement")
+      # annot12.set_intent("PolygonPerimeter")
+      # annot12.set_name("PerimeterAnnot")
+      # annot12.info["IT"] = "PolygonPerimeter"
+      annot13.set_opacity(0.7)
+      # annot.set_line_ends(fitz.PDF_ANNOT_LE_DIAMOND, fitz.PDF_ANNOT_LE_CIRCLE)
+      annot13.update()
+
+  for coords, area, perimeter, color in processed_grouped_shapes:
+
+    if len(coords) < 3:
+        continue
+
+    annot14 = page2.add_polyline_annot(points=coords)
+    annot14.set_border(width=0.8)
+    # annot13.set_colors(fill=(1, 0, 0))
+    annot14.set_colors(stroke=(int(color[0])/255,int(color[1])/255,int(color[2])/255))
+    annot14.set_info(content='Perimeter='+str(1)+' m',subject='Perimeter Measurement', title="Skirting Measurement")
+    annot14.set_opacity(0.7)
+    annot14.update()
+
+
+
   page2.set_rotation(rotationOld)
   Correct_img=flip(imgg)