Spaces:
Running
Running
File size: 33,508 Bytes
615e9f1 acc7969 e108fc3 00a4c90 b0e8a9d e108fc3 6ceb9bd 98b1103 00a4c90 98b1103 00a4c90 98b1103 00a4c90 98b1103 00a4c90 98b1103 00a4c90 98b1103 b0e8a9d 00a4c90 98b1103 00a4c90 cc79c19 00888d3 cc79c19 00a4c90 6ceb9bd 00a4c90 98b1103 6ceb9bd 00a4c90 6ceb9bd 00a4c90 6ceb9bd 00a4c90 b0e8a9d 6ceb9bd b5c29c5 6ceb9bd b0e8a9d 00a4c90 b0e8a9d 00a4c90 ebef706 00a4c90 e108fc3 642c17f cc79c19 e7657c7 cc79c19 6ceb9bd cc79c19 e7657c7 cc79c19 642c17f e108fc3 615e9f1 642c17f 6ceb9bd 642c17f 615e9f1 9d60902 615e9f1 b506342 615e9f1 6ceb9bd 615e9f1 9d60902 b506342 9d60902 615e9f1 642c17f 6ceb9bd 615e9f1 6ceb9bd 615e9f1 ebef706 615e9f1 9134c9f 615e9f1 9134c9f 615e9f1 9134c9f 615e9f1 9134c9f 615e9f1 9134c9f 615e9f1 9134c9f 615e9f1 ebef706 615e9f1 e3a1c49 615e9f1 9d60902 615e9f1 9134c9f 642c17f b506342 9134c9f 642c17f 9134c9f b506342 9134c9f 615e9f1 9134c9f b506342 9134c9f b506342 9134c9f 615e9f1 9134c9f b506342 9134c9f b506342 9134c9f 615e9f1 9134c9f 27a202c 615e9f1 642c17f 9134c9f 615e9f1 b0e8a9d 615e9f1 b0e8a9d 615e9f1 b0e8a9d 615e9f1 3a0ed7b 615e9f1 3a0ed7b 615e9f1 3a0ed7b 615e9f1 b0e8a9d 615e9f1 9134c9f 615e9f1 b0e8a9d 615e9f1 b0e8a9d 615e9f1 b0e8a9d 615e9f1 b0e8a9d 615e9f1 642c17f 3250939 615e9f1 3250939 acc7969 642c17f acc7969 642c17f acc7969 3250939 642c17f 3250939 acc7969 3250939 642c17f 3250939 642c17f 3250939 642c17f 3250939 642c17f 3250939 642c17f 3250939 642c17f 3250939 642c17f 3250939 642c17f 3250939 642c17f c96bc59 642c17f c96bc59 642c17f 615e9f1 acc7969 615e9f1 acc7969 615e9f1 9134c9f acc7969 9134c9f 615e9f1 9134c9f acc7969 615e9f1 9134c9f 615e9f1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 |
import xml.etree.ElementTree as ET
from modules.utils import class_dict, error, warning
import streamlit as st
from modules.utils import class_dict, rescale_boxes
import copy
from xml.dom import minidom
import numpy as np
def find_position(pool_index, BPMN_id):
#find the position of the pool_index in the bpmn_id
if pool_index in BPMN_id:
position = BPMN_id.index(pool_index)
else:
position = None
error(f"Problem with the pool index {pool_index} in the BPMN_id")
return position
# Calculate the center of each bounding box and group them by pool
def calculate_centers_and_group_by_pool(pred, class_dict):
pool_groups = {}
for pool_index, element_indices in pred['pool_dict'].items():
pool_groups[pool_index] = []
for i in element_indices:
if i >= len(pred['labels']):
continue
if class_dict[pred['labels'][i]] not in ['dataObject', 'dataStore']:
x1, y1, x2, y2 = pred['boxes'][i]
center = [(x1 + x2) / 2, (y1 + y2) / 2]
pool_groups[pool_index].append((center, i))
return pool_groups
# Group centers within a specified range
def group_centers(centers, axis, range_=50):
groups = []
while centers:
center, idx = centers.pop(0)
group = [(center, idx)]
for other_center, other_idx in centers[:]:
if abs(center[axis] - other_center[axis]) <= range_:
group.append((other_center, other_idx))
centers.remove((other_center, other_idx))
groups.append(group)
return groups
# Align the elements within each pool
def align_elements_within_pool(modified_pred, pool_groups, class_dict, size):
for pool_index, centers in pool_groups.items():
y_groups = group_centers(centers.copy(), axis=1)
align_y_coordinates(modified_pred, y_groups, class_dict, size)
centers = recalculate_centers(modified_pred, y_groups)
x_groups = group_centers(centers.copy(), axis=0)
align_x_coordinates(modified_pred, x_groups, class_dict, size)
# Align the y-coordinates of the centers of grouped bounding boxes
def align_y_coordinates(modified_pred, y_groups, class_dict, size):
for group in y_groups:
avg_y = sum([c[0][1] for c in group]) / len(group)
for (center, idx) in group:
label = class_dict[modified_pred['labels'][idx]]
if label in size:
new_center = (center[0], avg_y)
modified_pred['boxes'][idx] = [
new_center[0] - size[label][0] / 2,
new_center[1] - size[label][1] / 2,
new_center[0] + size[label][0] / 2,
new_center[1] + size[label][1] / 2
]
# Recalculate centers after alignment
def recalculate_centers(modified_pred, groups):
centers = []
for group in groups:
for center, idx in group:
x1, y1, x2, y2 = modified_pred['boxes'][idx]
center = [(x1 + x2) / 2, (y1 + y2) / 2]
centers.append((center, idx))
return centers
# Align the x-coordinates of the centers of grouped bounding boxes
def align_x_coordinates(modified_pred, x_groups, class_dict, size):
for group in x_groups:
avg_x = sum([c[0][0] for c in group]) / len(group)
for (center, idx) in group:
label = class_dict[modified_pred['labels'][idx]]
if label in size:
new_center = (avg_x, center[1])
modified_pred['boxes'][idx] = [
new_center[0] - size[label][0] / 2,
modified_pred['boxes'][idx][1],
new_center[0] + size[label][0] / 2,
modified_pred['boxes'][idx][3]
]
# Expand the pool bounding boxes to fit the aligned elements
def expand_pool_bounding_boxes(modified_pred, pred, size_elements):
for idx, (pool_index, keep_elements) in enumerate(modified_pred['pool_dict'].items()):
if len(keep_elements) != 0:
marge = 50
else:
marge = 0
position = find_position(pool_index, modified_pred['BPMN_id'])
if keep_elements == [] or position is None:
min_x, min_y, max_x, max_y = modified_pred['boxes'][position]
else:
min_x, min_y, max_x, max_y = calculate_pool_bounds(modified_pred['boxes'], modified_pred['labels'], keep_elements, size_elements)
pool_width = max_x - min_x
pool_height = max_y - min_y
if pool_width < 300 or pool_height < 30:
error("The pool is maybe too small, please add more elements or increase the scale by zooming on the image.")
continue
modified_pred['boxes'][position] = [min_x - marge, min_y - marge // 2, min_x + pool_width + marge, min_y + pool_height + marge // 2]
# Adjust left and right boundaries of all pools
def adjust_pool_boundaries(modified_pred, pred):
min_left, max_right = 0, 0
for pool_index, element_indices in pred['pool_dict'].items():
position = find_position(pool_index, modified_pred['BPMN_id'])
if position >= len(modified_pred['boxes']):
continue
x1, y1, x2, y2 = modified_pred['boxes'][position]
left = x1
right = x2
if left < min_left:
min_left = left
if right > max_right:
max_right = right
for pool_index, element_indices in pred['pool_dict'].items():
position = find_position(pool_index, modified_pred['BPMN_id'])
if position >= len(modified_pred['boxes']):
continue
x1, y1, x2, y2 = modified_pred['boxes'][position]
if x1 > min_left:
x1 = min_left
if x2 < max_right:
x2 = max_right
modified_pred['boxes'][position] = [x1, y1, x2, y2]
# Main function to align boxes
def align_boxes(pred, size, class_dict):
modified_pred = copy.deepcopy(pred)
pool_groups = calculate_centers_and_group_by_pool(pred, class_dict)
align_elements_within_pool(modified_pred, pool_groups, class_dict, size)
if len(pred['pool_dict']) > 1:
expand_pool_bounding_boxes(modified_pred, pred, size)
adjust_pool_boundaries(modified_pred, pred)
return modified_pred['boxes']
# Function to create a BPMN XML file from prediction results
def create_XML(full_pred, text_mapping, size_scale, scale):
namespaces = {
'bpmn': 'http://www.omg.org/spec/BPMN/20100524/MODEL',
'bpmndi': 'http://www.omg.org/spec/BPMN/20100524/DI',
'di': 'http://www.omg.org/spec/DD/20100524/DI',
'dc': 'http://www.omg.org/spec/DD/20100524/DC',
'xsi': 'http://www.w3.org/2001/XMLSchema-instance'
}
definitions = ET.Element('bpmn:definitions', {
'xmlns:xsi': namespaces['xsi'],
'xmlns:bpmn': namespaces['bpmn'],
'xmlns:bpmndi': namespaces['bpmndi'],
'xmlns:di': namespaces['di'],
'xmlns:dc': namespaces['dc'],
'targetNamespace': "http://example.bpmn.com",
'id': "simpleExample"
})
size_elements = get_size_elements(size_scale)
#if there is no pool or lane, create a pool with all elements
if len(full_pred['pool_dict'])==0 or (len(full_pred['pool_dict'])==1 and len(full_pred['pool_dict']['pool_1'])==len(full_pred['labels'])):
full_pred, text_mapping = create_big_pool(full_pred, text_mapping)
#modify the boxes positions
old_boxes = copy.deepcopy(full_pred)
# Create BPMN collaboration element
collaboration = ET.SubElement(definitions, 'bpmn:collaboration', id='collaboration_1')
# Create BPMN process elements
process = []
for idx in range (len(full_pred['pool_dict'].items())):
process_id = f'process_{idx+1}'
process.append(ET.SubElement(definitions, 'bpmn:process', id=process_id, isExecutable='false'))
bpmndi = ET.SubElement(definitions, 'bpmndi:BPMNDiagram', id='BPMNDiagram_1')
bpmnplane = ET.SubElement(bpmndi, 'bpmndi:BPMNPlane', id='BPMNPlane_1', bpmnElement='collaboration_1')
full_pred['boxes'] = rescale_boxes(scale, old_boxes['boxes'])
full_pred['boxes'] = align_boxes(full_pred, size_elements, class_dict)
# Add diagram elements for each pool
for idx, (pool_index, keep_elements) in enumerate(full_pred['pool_dict'].items()):
pool_id = f'participant_{idx+1}'
pool = ET.SubElement(collaboration, 'bpmn:participant', id=pool_id, processRef=f'process_{idx+1}', name=text_mapping[pool_index])
position = find_position(pool_index, full_pred['BPMN_id'])
# Calculate the bounding box for the pool
#if len(keep_elements) == 0:
if position >= len(full_pred['boxes']):
print("Problem with the index")
continue
min_x, min_y, max_x, max_y = full_pred['boxes'][position]
pool_width = max_x - min_x
pool_height = max_y - min_y
add_diagram_elements(bpmnplane, pool_id, min_x, min_y, pool_width, pool_height)
# Create BPMN elements for each pool
for idx, (pool_index, keep_elements) in enumerate(full_pred['pool_dict'].items()):
create_bpmn_object(process[idx], bpmnplane, text_mapping, definitions, size_elements, full_pred, keep_elements)
# Create message flow elements
message_flows = [i for i, label in enumerate(full_pred['labels']) if class_dict[label] == 'messageFlow']
for idx in message_flows:
create_flow_element(bpmnplane, text_mapping, idx, size_elements, full_pred, collaboration, message=True)
# Create sequence flow elements
for idx, (pool_index, keep_elements) in enumerate(full_pred['pool_dict'].items()):
for i in keep_elements:
if i >= len(full_pred['labels']):
print("Problem with the index")
continue
if full_pred['labels'][i] == list(class_dict.values()).index('sequenceFlow'):
create_flow_element(bpmnplane, text_mapping, i, size_elements, full_pred, process[idx], message=False)
# Generate pretty XML string
tree = ET.ElementTree(definitions)
rough_string = ET.tostring(definitions, 'utf-8')
reparsed = minidom.parseString(rough_string)
pretty_xml_as_string = reparsed.toprettyxml(indent=" ")
full_pred['boxes'] = rescale_boxes(1/scale, full_pred['boxes'])
full_pred['boxes'] = old_boxes
return pretty_xml_as_string
# Function that creates a single pool with all elements
def create_big_pool(full_pred, text_mapping):
# If no pools or lanes are detected, create a single pool with all elements
new_pool_index = 'pool_1'
size_elements = get_size_elements(st.session_state.size_scale)
elements_pool = list(range(len(full_pred['boxes'])))
min_x, min_y, max_x, max_y = calculate_pool_bounds(full_pred['boxes'],full_pred['labels'], elements_pool, size_elements)
box = [min_x, min_y, max_x, max_y]
full_pred['boxes'] = np.append(full_pred['boxes'], [box], axis=0)
full_pred['pool_dict'][new_pool_index] = elements_pool
full_pred['BPMN_id'].append('pool_1')
text_mapping['pool_1'] = 'Process'
print(f"Created a big pool index {new_pool_index} with elements: {elements_pool}")
return full_pred, text_mapping
# Function that gives the size of the elements
def get_size_elements(size_scale):
size_elements = {
'event': (size_scale*43.2, size_scale*43.2),
'task': (size_scale*120, size_scale*96),
'message': (size_scale*43.2, size_scale*43.2),
'messageEvent': (size_scale*43.2, size_scale*43.2),
'exclusiveGateway': (size_scale*60, size_scale*60),
'parallelGateway': (size_scale*60, size_scale*60),
'dataObject': (size_scale*48, size_scale*72),
'dataStore': (size_scale*72, size_scale*72),
'subProcess': (size_scale*144, size_scale*108),
'eventBasedGateway': (size_scale*60, size_scale*60),
'timerEvent': (size_scale*48, size_scale*48),
}
return size_elements
def rescale(scale, boxes):
for i in range(len(boxes)):
boxes[i] = [boxes[i][0]*scale,
boxes[i][1]*scale,
boxes[i][2]*scale,
boxes[i][3]*scale]
return boxes
#Function to create the unique BPMN_id
def create_BPMN_id(labels,pool_dict):
BPMN_id = [class_dict[labels[i]] for i in range(len(labels))]
data_counter = 1
enums = {
'event': 1,
'task': 1,
'sequenceFlow': 1,
'messageFlow': 1,
'message_event': 1,
'exclusiveGateway': 1,
'parallelGateway': 1,
'dataAssociation': 1,
'pool': 1,
'timerEvent': 1,
'eventBasedGateway': 1
}
BPMN_name = [class_dict[label] for label in labels]
for idx, Bpmn_id in enumerate(BPMN_name):
key = {
'event': 'event',
'task': 'task',
'dataObject': 'dataObject',
'sequenceFlow': 'sequenceFlow',
'messageFlow': 'messageFlow',
'messageEvent': 'message_event',
'exclusiveGateway': 'exclusiveGateway',
'parallelGateway': 'parallelGateway',
'dataAssociation': 'dataAssociation',
'pool': 'pool',
'dataStore': 'dataStore',
'timerEvent': 'timerEvent',
'eventBasedGateway': 'eventBasedGateway'
}.get(Bpmn_id, None)
if key:
if key in ['dataObject', 'dataStore']:
BPMN_id[idx] = f'{key}_{data_counter}'
data_counter += 1
else:
BPMN_id[idx] = f'{key}_{enums[key]}'
enums[key] += 1
# Update the pool_dict keys with their corresponding BPMN_id values
updated_pool_dict = {}
for key, value in pool_dict.items():
if key < len(BPMN_id):
new_key = BPMN_id[key]
updated_pool_dict[new_key] = value
return BPMN_id, updated_pool_dict
def add_diagram_elements(parent, element_id, x, y, width, height):
"""Utility to add BPMN diagram notation for elements."""
shape = ET.SubElement(parent, 'bpmndi:BPMNShape', attrib={
'bpmnElement': element_id,
'id': element_id + '_di'
})
bounds = ET.SubElement(shape, 'dc:Bounds', attrib={
'x': str(x),
'y': str(y),
'width': str(width),
'height': str(height)
})
def add_diagram_edge(parent, element_id, waypoints):
"""Utility to add BPMN diagram notation for sequence flows."""
edge = ET.SubElement(parent, 'bpmndi:BPMNEdge', attrib={
'bpmnElement': element_id,
'id': element_id + '_di'
})
for x, y in waypoints:
if x is None or y is None:
return
ET.SubElement(edge, 'di:waypoint', attrib={
'x': str(x),
'y': str(y)
})
def check_status(link, keep_elements):
if link[0] in keep_elements and link[1] in keep_elements:
return 'middle'
elif link[0] is None and link[1] in keep_elements:
return 'start'
elif link[0] in keep_elements and link[1] is None:
return 'end'
else:
return 'middle'
def check_data_association(i, links, labels, keep_elements):
status, links_idx = [], []
for j, (k,l) in enumerate(links):
if labels[j] == list(class_dict.values()).index('dataAssociation'):
if k==i:
status.append('output')
links_idx.append(j)
elif l==i:
status.append('input')
links_idx.append(j)
return status, links_idx
def create_data_Association(bpmn,data,size,element_id,current_idx,source_id,target_id):
waypoints = calculate_waypoints(data, size, current_idx, source_id, target_id)
add_diagram_edge(bpmn, element_id, waypoints)
def check_eventBasedGateway(i, links, labels):
status, links_idx = [], []
for j, (k,l) in enumerate(links):
if labels[j] == list(class_dict.values()).index('sequenceFlow'):
if k==i:
status.append('output')
links_idx.append(j)
elif l==i:
status.append('input')
links_idx.append(j)
return status, links_idx
# Function to dynamically create and layout BPMN elements
def create_bpmn_object(process, bpmnplane, text_mapping, definitions, size, data, keep_elements):
elements = data['BPMN_id']
positions = data['boxes']
links = data['links']
for i in keep_elements:
if i >= len(elements):
print("Problem with the index")
continue
element_id = elements[i]
if element_id is None:
continue
element_type = element_id.split('_')[0]
x, y = positions[i][:2]
# Start Event
if element_type == 'event':
status = check_status(links[i], keep_elements)
if status == 'start':
element = ET.SubElement(process, 'bpmn:startEvent', id=element_id, name=text_mapping[element_id])
elif status == 'middle':
element = ET.SubElement(process, 'bpmn:intermediateCatchEvent', id=element_id, name=text_mapping[element_id])
elif status == 'end':
element = ET.SubElement(process, 'bpmn:endEvent', id=element_id, name=text_mapping[element_id])
add_diagram_elements(bpmnplane, element_id, x, y, size['event'][0], size['event'][1])
# Task
elif element_type == 'task':
element = ET.SubElement(process, 'bpmn:task', id=element_id, name=text_mapping[element_id])
status, datasAssociation_idx = check_data_association(i, data['links'], data['labels'], keep_elements)
if len(status) != 0:
for state, dataAssociation_idx in zip(status, datasAssociation_idx):
# Handle Data Input Association
if state == 'input':
dataObject_idx = links[dataAssociation_idx][0]
dataObject_name = elements[dataObject_idx]
dataObject_ref = f'DataObjectReference_{dataObject_name.split("_")[1]}'
ET.SubElement(element, 'bpmn:property', id=f'Property_{dataAssociation_idx}_{dataObject_ref.split("_")[1]}', name='__targetRef_placeholder')
sub_element = ET.SubElement(element, 'bpmn:dataInputAssociation', id=f'dataInAsso_{dataAssociation_idx}_{dataObject_ref.split("_")[1]}')
ET.SubElement(sub_element, 'bpmn:sourceRef').text = dataObject_ref
ET.SubElement(sub_element, 'bpmn:targetRef').text = f"Property_{dataAssociation_idx}_{dataObject_ref.split('_')[1]}"
create_data_Association(bpmnplane, data, size, sub_element.attrib['id'], dataAssociation_idx, dataObject_name, element_id)
# Handle Data Output Association
elif state == 'output':
dataObject_idx = links[dataAssociation_idx][1]
dataObject_name = elements[dataObject_idx]
dataObject_ref = f'DataObjectReference_{dataObject_name.split("_")[1]}'
sub_element = ET.SubElement(element, 'bpmn:dataOutputAssociation', id=f'dataOutAsso_{dataAssociation_idx}_{dataObject_ref.split("_")[1]}')
ET.SubElement(sub_element, 'bpmn:targetRef').text = dataObject_ref
create_data_Association(bpmnplane, data, size, sub_element.attrib['id'], dataAssociation_idx, element_id, dataObject_name)
add_diagram_elements(bpmnplane, element_id, x, y, size['task'][0], size['task'][1])
# Message Events (Start, Intermediate, End)
elif element_type == 'message':
status = check_status(links[i], keep_elements)
if status == 'start':
element = ET.SubElement(process, 'bpmn:startEvent', id=element_id, name=text_mapping[element_id])
elif status == 'middle':
element = ET.SubElement(process, 'bpmn:intermediateCatchEvent', id=element_id, name=text_mapping[element_id])
elif status == 'end':
element = ET.SubElement(process, 'bpmn:endEvent', id=element_id, name=text_mapping[element_id])
status, datasAssociation_idx = check_data_association(i, data['links'], data['labels'], keep_elements)
if len(status) != 0:
for state, dataAssociation_idx in zip(status, datasAssociation_idx):
# Handle Data Input Association
if state == 'input':
dataObject_idx = links[dataAssociation_idx][0]
dataObject_name = elements[dataObject_idx]
dataObject_ref = f'DataObjectReference_{dataObject_name.split("_")[1]}'
sub_element = ET.SubElement(element, 'bpmn:dataInputAssociation', id=f'dataInAsso_{dataAssociation_idx}_{dataObject_ref.split("_")[1]}')
ET.SubElement(sub_element, 'bpmn:sourceRef').text = dataObject_ref
create_data_Association(bpmnplane, data, size, sub_element.attrib['id'], dataAssociation_idx, dataObject_name, element_id)
# Handle Data Output Association
elif state == 'output':
dataObject_idx = links[dataAssociation_idx][1]
dataObject_name = elements[dataObject_idx]
dataObject_ref = f'DataObjectReference_{dataObject_name.split("_")[1]}'
sub_element = ET.SubElement(element, 'bpmn:dataOutputAssociation', id=f'dataOutAsso_{dataAssociation_idx}_{dataObject_ref.split("_")[1]}')
ET.SubElement(sub_element, 'bpmn:targetRef').text = dataObject_ref
create_data_Association(bpmnplane, data, size, sub_element.attrib['id'], dataAssociation_idx, element_id, dataObject_name)
ET.SubElement(element, 'bpmn:messageEventDefinition', id=f'MessageEventDefinition_{i+1}')
add_diagram_elements(bpmnplane, element_id, x, y, size['message'][0], size['message'][1])
# Gateways (Exclusive, Parallel)
elif element_type in ['exclusiveGateway', 'parallelGateway']:
gateway_type = 'exclusiveGateway' if element_type == 'exclusiveGateway' else 'parallelGateway'
element = ET.SubElement(process, f'bpmn:{gateway_type}', id=element_id)
add_diagram_elements(bpmnplane, element_id, x, y, size[element_type][0], size[element_type][1])
elif element_type == 'eventBasedGateway':
element = ET.SubElement(process, 'bpmn:eventBasedGateway', id=element_id)
status, links_idx = check_eventBasedGateway(i, data['links'], data['labels'])
if len(status) != 0:
for state, link_idx in zip(status, links_idx):
# Handle Data Input Association
if state == 'input' :
gateway_idx = links[link_idx][0]
gateway_name = elements[gateway_idx]
sub_element = ET.SubElement(element, 'bpmn:eventBasedGateway', id=f'eventBasedGateway_{link_idx}_{gateway_name.split("_")[1]}')
create_data_Association(bpmnplane, data, size, sub_element.attrib['id'], i, gateway_name, element_id)
# Handle Data Output Association
elif state == 'output':
gateway_idx = links[link_idx][1]
gateway_name = elements[gateway_idx]
sub_element = ET.SubElement(element, 'bpmn:eventBasedGateway', id=f'eventBasedGateway_{link_idx}_{gateway_name.split("_")[1]}')
create_data_Association(bpmnplane, data, size, sub_element.attrib['id'], i, element_id, gateway_name)
add_diagram_elements(bpmnplane, element_id, x, y, size['eventBasedGateway'][0], size['eventBasedGateway'][1])
# Data Object
elif element_type == 'dataObject' or element_type == 'dataStore':
#print('ici dataObject', element_id)
dataObject_idx = element_id.split('_')[1]
dataObject_ref = f'DataObjectReference_{dataObject_idx}'
if element_type == 'dataObject':
ET.SubElement(process, 'bpmn:dataObjectReference', id=dataObject_ref, dataObjectRef=element_id, name=text_mapping[element_id])
ET.SubElement(process, f'bpmn:{element_type}', id=element_id)
elif element_type == 'dataStore':
ET.SubElement(process, 'bpmn:dataStoreReference', id=dataObject_ref, name=text_mapping[element_id])
add_diagram_elements(bpmnplane, dataObject_ref, x, y, size[element_type][0], size[element_type][1])
# Timer Event
elif element_type == 'timerEvent':
element = ET.SubElement(process, 'bpmn:intermediateCatchEvent', id=element_id, name=text_mapping[element_id])
ET.SubElement(element, 'bpmn:timerEventDefinition', id=f'TimerEventDefinition_{i+1}')
add_diagram_elements(bpmnplane, element_id, x, y, size['timerEvent'][0], size['timerEvent'][1])
def calculate_pool_bounds(boxes, labels, keep_elements, size):
min_x, min_y = float('inf'), float('inf')
max_x, max_y = float('-inf'), float('-inf')
for i in keep_elements:
if i >= len(labels):
print("Problem with the index")
continue
element = labels[i]
if element in {None, 7, 13, 14, 15}:
continue
if size == None:
element_width = boxes[i][2] - boxes[i][0]
element_height = boxes[i][3] - boxes[i][1]
else:
element_width, element_height = size[class_dict[labels[i]]]
x, y = boxes[i][:2]
min_x = min(min_x, x)
min_y = min(min_y, y)
max_x = max(max_x, x + element_width)
max_y = max(max_y, y + element_height)
return min_x-50, min_y-50, max_x+50, max_y+50
def calculate_pool_waypoints(idx, data, size, source_idx, target_idx, source_element, target_element):
# Get the bounding boxes of the source and target elements
source_box = data['boxes'][source_idx]
target_box = data['boxes'][target_idx]
# Get the midpoints of the source element
source_mid_x = (source_box[0] + source_box[2]) / 2
source_mid_y = (source_box[1] + source_box[3]) / 2
# Check if the connection involves a pool
if source_element == 'pool':
if target_element == 'pool':
return [(source_mid_x, source_mid_y), (source_mid_x, source_mid_y)]
pool_box = source_box
element_box = (target_box[0], target_box[1], target_box[0]+size[target_element][0], target_box[1]+size[target_element][1])
element_mid_x = (element_box[0] + element_box[2]) / 2
element_mid_y = (element_box[1] + element_box[3]) / 2
# Connect the pool's bottom or top side to the target element's top or bottom center
if pool_box[3] < element_box[1]: # Pool is above the target element
waypoints = [(element_mid_x, pool_box[3]), (element_mid_x, element_box[1])]
else: # Pool is below the target element
waypoints = [(element_mid_x, element_box[3]), (element_mid_x, pool_box[1])]
else:
pool_box = target_box
element_box = (source_box[0], source_box[1], source_box[0]+size[source_element][0], source_box[1]+size[source_element][1])
element_mid_x = (element_box[0] + element_box[2]) / 2
element_mid_y = (element_box[1] + element_box[3]) / 2
# Connect the element's bottom or top center to the pool's top or bottom side
if pool_box[3] < element_box[1]: # Pool is above the target element
waypoints = [(element_mid_x, element_box[1]), (element_mid_x, pool_box[3])]
else: # Pool is below the target element
waypoints = [(element_mid_x, element_box[3]), (element_mid_x, pool_box[1])]
return waypoints
def add_curve(waypoints, pos_source, pos_target, threshold=30):
"""
Add a single curve to the sequence flow by introducing a control point.
The control point is added at an offset from the midpoint of the original waypoints.
"""
if len(waypoints) < 2:
return waypoints
# Extract start and end points
start_point = waypoints[0]
end_point = waypoints[1]
start_x, start_y = start_point
end_x, end_y = end_point
pos_horizontal = ['left', 'right']
pos_vertical = ['top', 'bottom']
if abs(start_x - end_x) < threshold or abs(start_y - end_y) < threshold:
return waypoints
# Calculate the control point
if pos_source in pos_horizontal and pos_target in pos_horizontal:
control_point = None
elif pos_source in pos_vertical and pos_target in pos_vertical:
control_point = None
elif pos_source in pos_horizontal and pos_target in pos_vertical:
control_point = (end_x, start_y)
elif pos_source in pos_vertical and pos_target in pos_horizontal:
control_point = (start_x, end_y)
else:
control_point = None
# Create the curved path
if control_point is not None:
curved_waypoints = [start_point, control_point, end_point]
else:
curved_waypoints = [start_point, end_point]
return curved_waypoints
def calculate_waypoints(data, size, current_idx, source_id, target_id):
best_points = data['best_points'][current_idx]
pos_source = best_points[0]
pos_target = best_points[1]
source_idx = data['BPMN_id'].index(source_id)
target_idx = data['BPMN_id'].index(target_id)
if source_idx == target_idx:
warning()
return None
if source_idx is None or target_idx is None:
warning()
return None
name_source = source_id.split('_')[0]
name_target = target_id.split('_')[0]
# Get the position of the source and target
source_x, source_y = data['boxes'][source_idx][:2]
target_x, target_y = data['boxes'][target_idx][:2]
if name_source == 'pool' or name_target == 'pool':
warning()
return [(source_x, source_y), (target_x, target_y)]
if pos_source == 'left':
source_x = source_x
source_y += size[name_source][1] / 2
elif pos_source == 'right':
source_x += size[name_source][0]
source_y += size[name_source][1] / 2
elif pos_source == 'top':
source_x += size[name_source][0] / 2
source_y = source_y
elif pos_source == 'bottom':
source_x += size[name_source][0] / 2
source_y += size[name_source][1]
if pos_target == 'left':
target_x = target_x
target_y += size[name_target][1] / 2
elif pos_target == 'right':
target_x += size[name_target][0]
target_y += size[name_target][1] / 2
elif pos_target == 'top':
target_x += size[name_target][0] / 2
target_y = target_y
elif pos_target == 'bottom':
target_x += size[name_target][0] / 2
target_y += size[name_target][1]
waypoints = [(source_x, source_y), (target_x, target_y)]
# Add curve if no obstacles are in the path
if data['labels'][current_idx] == list(class_dict.values()).index('sequenceFlow'):
curved_waypoints = add_curve(waypoints, pos_source, pos_target)
else:
curved_waypoints = waypoints
return curved_waypoints
def create_flow_element(bpmn, text_mapping, idx, size, data, parent, message=False):
source_idx, target_idx = data['links'][idx]
if source_idx is None or target_idx is None:
warning()
return
source_id, target_id = data['BPMN_id'][source_idx], data['BPMN_id'][target_idx]
if message:
element_id = f'messageflow_{source_id}_{target_id}'
else:
element_id = f'sequenceflow_{source_id}_{target_id}'
if message:
if source_id.split('_')[0] == 'pool' or target_id.split('_')[0] == 'pool':
waypoints = calculate_pool_waypoints(idx, data, size, source_idx, target_idx, source_id.split('_')[0], target_id.split('_')[0])
if source_id.split('_')[0] == 'pool':
XML_source_id = f"participant_{source_id.split('_')[1]}"
XML_target_id = target_id
if target_id.split('_')[0] == 'pool':
XML_target_id = f"participant_{target_id.split('_')[1]}"
XML_source_id = source_id
element = ET.SubElement(parent, 'bpmn:messageFlow', id=element_id, sourceRef=XML_source_id, targetRef=XML_target_id, name=text_mapping[data['BPMN_id'][idx]])
else:
waypoints = calculate_waypoints(data, size, idx, source_id, target_id)
if waypoints is None:
return
element = ET.SubElement(parent, 'bpmn:messageFlow', id=element_id, sourceRef=source_id, targetRef=target_id, name=text_mapping[data['BPMN_id'][idx]])
else:
waypoints = calculate_waypoints(data, size, idx, source_id, target_id)
if waypoints is None:
return
element = ET.SubElement(parent, 'bpmn:sequenceFlow', id=element_id, sourceRef=source_id, targetRef=target_id, name=text_mapping[data['BPMN_id'][idx]])
add_diagram_edge(bpmn, element_id, waypoints)
|