fio-l2-cairo-mixedgeom-split
Map (reference ← swipe → agent)
0:00
Heritage analyst here. I've put together `heritage_sites.geojson` from my own field work, and every site in it is several features sharing a `site_id`. I need to load the data into our desktop tool, which only ingests typed GPKG layers, no mixed-geometry files, and every feature has to be single-part. Can you give me back `heritage.gpkg` with three layers named `points`, `lines`, and `polygons`, keeping the `site_id` on every feature so I don't lose the cross-layer link? Use Egypt's national grid.
0:00
System info
{
"adapter": "openrouter",
"model": "deepseek/deepseek-v4-flash",
"base_url": "https://openrouter.ai/api/v1"
}
0:03
Let me start by reading the input file to understand its structure.
0:03
Read
/work/heritage_sites.geojson
1 {
2 "type": "FeatureCollection",
3 "name": "cairo_heritage_sites",
4 "crs": {
5 "type": "name",
6 "properties": {
7 "name": "urn:ogc:def:crs:OGC:1.3:CRS84"
8 }
9 },
10 "features": [
11 {
12 "type": "Feature",
13 "geometry": {
14 "type": "Polygon",
15 "coordinates": [
16 [
17 [
18 31.256,
19 30.0316
20 ],
21 [
22 31.2572,
23 30.0316
24 ],
25 [
26 31.2572,
27 30.0328
28 ],
29 [
30 31.256,
31 30.0328
32 ],
33 [
34 31.256,
35 30.0316
36 ]
37 ]
38 ]
39 },
40 "properties": {
41 "site_id": "EG-CAI-001",
42 "feature_kind": "enclosure",
43 "name_en": "Sultan Hassan Mosque-Madrasa",
44 "name_ar": "مسجد ومدرسة السلطان حسن"
45 }
46 },
47 {
48 "type": "Feature",
49 "geometry": {
50 "type": "LineString",
51 "coordinates": [
52 [
53 31.2556,
54 30.0321
55 ],
56 [
57 31.2566,
58 30.0322
59 ],
60 [
61 31.2576,
62 30.0323
63 ]
64 ]
65 },
66 "properties": {
67 "site_id": "EG-CAI-001",
68 "feature_kind": "axial_line_1",
69 "name_en": "Sultan Hassan Mosque-Madrasa",
70 "name_ar": "مسجد ومدرسة السلطان حسن"
71 }
72 },
73 {
74 "type": "Feature",
75 "geometry": {
76 "type": "LineString",
77 "coordinates": [
78 [
79 31.2567,
80 30.0312
81 ],
82 [
83 31.2566,
84 30.0322
85 ],
86 [
87 31.2565,
88 30.0332
89 ]
90 ]
91 },
92 "properties": {
93 "site_id": "EG-CAI-001",
94 "feature_kind": "axial_line_2",
95 "name_en": "Sultan Hassan Mosque-Madrasa",
96 "name_ar": "مسجد ومدرسة السلطان حسن"
97 }
98 },
99 {
100 "type": "Feature",
101 "geometry": {
102 "type": "Point",
103 "coordinates": [
104 31.2566,
105 30.0326
106 ]
107 },
108 "properties": {
109 "site_id": "EG-CAI-001",
110 "feature_kind": "marker_gateway",
111 "name_en": "Sultan Hassan Mosque-Madrasa",
112 "name_ar": "مسجد ومدرسة السلطان حسن"
113 }
114 },
115 {
116 "type": "Feature",
117 "geometry": {
118 "type": "Point",
119 "coordinates": [
120 31.257,
121 30.0322
122 ]
123 },
124 "properties": {
125 "site_id": "EG-CAI-001",
126 "feature_kind": "marker_mihrab",
127 "name_en": "Sultan Hassan Mosque-Madrasa",
128 "name_ar": "مسجد ومدرسة السلطان حسن"
129 }
130 },
131 {
132 "type": "Feature",
133 "geometry": {
134 "type": "Point",
135 "coordinates": [
136 31.2566,
137 30.0318
138 ]
139 },
140 "properties": {
141 "site_id": "EG-CAI-001",
142 "feature_kind": "marker_minaret",
143 "name_en": "Sultan Hassan Mosque-Madrasa",
144 "name_ar": "مسجد ومدرسة السلطان حسن"
145 }
146 },
147 {
148 "type": "Feature",
149 "geometry": {
150 "type": "MultiPolygon",
151 "coordinates": [
152 [
153 [
154 [
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157 ],
158 [
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161 ],
162 [
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170 [
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173 ]
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193 ],
194 [
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197 ]
198 ]
199 ]
200 ]
201 },
202 "properties": {
203 "site_id": "EG-CAI-002",
204 "feature_kind": "enclosure",
205 "name_en": "Al-Rifai Mosque",
206 "name_ar": "مسجد الرفاعي"
207 }
208 },
209 {
210 "type": "Feature",
211 "geometry": {
212 "type": "LineString",
213 "coordinates": [
214 [
215 31.2566,
216 30.0329
217 ],
218 [
219 31.2576,
220 30.033
221 ],
222 [
223 31.2586,
224 30.0331
225 ]
226 ]
227 },
228 "properties": {
229 "site_id": "EG-CAI-002",
230 "feature_kind": "axial_line_1",
231 "name_en": "Al-Rifai Mosque",
232 "name_ar": "مسجد الرفاعي"
233 }
234 },
235 {
236 "type": "Feature",
237 "geometry": {
238 "type": "Point",
239 "coordinates": [
240 31.2576,
241 30.0334
242 ]
243 },
244 "properties": {
245 "site_id": "EG-CAI-002",
246 "feature_kind": "marker_gateway",
247 "name_en": "Al-Rifai Mosque",
248 "name_ar": "مسجد الرفاعي"
249 }
250 },
251 {
252 "type": "Feature",
253 "geometry": {
254 "type": "Point",
255 "coordinates": [
256 31.258,
257 30.033
258 ]
259 },
260 "properties": {
261 "site_id": "EG-CAI-002",
262 "feature_kind": "marker_mihrab",
263 "name_en": "Al-Rifai Mosque",
264 "name_ar": "مسجد الرفاعي"
265 }
266 },
267 {
268 "type": "Feature",
269 "geometry": {
270 "type": "MultiPolygon",
271 "coordinates": [
272 [
273 [
274 [
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276 30.0281
277 ],
278 [
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281 ],
282 [
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285 ],
286 [
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290 [
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293 ]
294 ]
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317 ]
318 ]
319 ]
320 ]
321 },
322 "properties": {
323 "site_id": "EG-CAI-003",
324 "feature_kind": "enclosure",
325 "name_en": "Ibn Tulun Mosque",
326 "name_ar": "مسجد ابن طولون"
327 }
328 },
329 {
330 "type": "Feature",
331 "geometry": {
332 "type": "LineString",
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337 ],
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341 ],
342 [
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344 30.0288
345 ]
346 ]
347 },
348 "properties": {
349 "site_id": "EG-CAI-003",
350 "feature_kind": "axial_line_1",
351 "name_en": "Ibn Tulun Mosque",
352 "name_ar": "مسجد ابن طولون"
353 }
354 },
355 {
356 "type": "Feature",
357 "geometry": {
358 "type": "LineString",
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362 30.0277
363 ],
364 [
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366 30.0287
367 ],
368 [
369 31.2496,
370 30.0297
371 ]
372 ]
373 },
374 "properties": {
375 "site_id": "EG-CAI-003",
376 "feature_kind": "axial_line_2",
377 "name_en": "Ibn Tulun Mosque",
378 "name_ar": "مسجد ابن طولون"
379 }
380 },
381 {
382 "type": "Feature",
383 "geometry": {
384 "type": "Point",
385 "coordinates": [
386 31.2497,
387 30.0291
388 ]
389 },
390 "properties": {
391 "site_id": "EG-CAI-003",
392 "feature_kind": "marker_gateway",
393 "name_en": "Ibn Tulun Mosque",
394 "name_ar": "مسجد ابن طولون"
395 }
396 },
397 {
398 "type": "Feature",
399 "geometry": {
400 "type": "Point",
401 "coordinates": [
402 31.2501,
403 30.0287
404 ]
405 },
406 "properties": {
407 "site_id": "EG-CAI-003",
408 "feature_kind": "marker_mihrab",
409 "name_en": "Ibn Tulun Mosque",
410 "name_ar": "مسجد ابن طولون"
411 }
412 },
413 {
414 "type": "Feature",
415 "geometry": {
416 "type": "Point",
417 "coordinates": [
418 31.2497,
419 30.0283
420 ]
421 },
422 "properties": {
423 "site_id": "EG-CAI-003",
424 "feature_kind": "marker_minaret",
425 "name_en": "Ibn Tulun Mosque",
426 "name_ar": "مسجد ابن طولون"
427 }
428 },
429 {
430 "type": "Feature",
431 "geometry": {
432 "type": "Polygon",
433 "coordinates": [
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437 30.0453
438 ],
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450 ],
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453 30.0453
454 ]
455 ]
456 ]
457 },
458 "properties": {
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460 "feature_kind": "enclosure",
461 "name_en": "Al-Azhar Mosque",
462 "name_ar": "الجامع الأزهر"
463 }
464 },
465 {
466 "type": "Feature",
467 "geometry": {
468 "type": "LineString",
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473 ],
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477 ],
478 [
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480 30.046
481 ]
482 ]
483 },
484 "properties": {
485 "site_id": "EG-CAI-004",
486 "feature_kind": "axial_line_1",
487 "name_en": "Al-Azhar Mosque",
488 "name_ar": "الجامع الأزهر"
489 }
490 },
491 {
492 "type": "Feature",
493 "geometry": {
494 "type": "LineString",
495 "coordinates": [
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498 30.0449
499 ],
500 [
501 31.2624,
502 30.0459
503 ],
504 [
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506 30.0469
507 ]
508 ]
509 },
510 "properties": {
511 "site_id": "EG-CAI-004",
512 "feature_kind": "axial_line_2",
513 "name_en": "Al-Azhar Mosque",
514 "name_ar": "الجامع الأزهر"
515 }
516 },
517 {
518 "type": "Feature",
519 "geometry": {
520 "type": "Point",
521 "coordinates": [
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523 30.0463
524 ]
525 },
526 "properties": {
527 "site_id": "EG-CAI-004",
528 "feature_kind": "marker_gateway",
529 "name_en": "Al-Azhar Mosque",
530 "name_ar": "الجامع الأزهر"
531 }
532 },
533 {
534 "type": "Feature",
535 "geometry": {
536 "type": "Point",
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539 30.0459
540 ]
541 },
542 "properties": {
543 "site_id": "EG-CAI-004",
544 "feature_kind": "marker_mihrab",
545 "name_en": "Al-Azhar Mosque",
546 "name_ar": "الجامع الأزهر"
547 }
548 },
549 {
550 "type": "Feature",
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555 30.0455
556 ]
557 },
558 "properties": {
559 "site_id": "EG-CAI-004",
560 "feature_kind": "marker_minaret",
561 "name_en": "Al-Azhar Mosque",
562 "name_ar": "الجامع الأزهر"
563 }
564 },
565 {
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568 "type": "Polygon",
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590 ]
591 ]
592 ]
593 },
594 "properties": {
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596 "feature_kind": "enclosure",
597 "name_en": "Al-Hussein Mosque",
598 "name_ar": "مسجد الحسين"
599 }
600 },
601 {
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619 },
620 "properties": {
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622 "feature_kind": "axial_line_1",
623 "name_en": "Al-Hussein Mosque",
624 "name_ar": "مسجد الحسين"
625 }
626 },
627 {
628 "type": "Feature",
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630 "type": "Point",
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633 30.0483
634 ]
635 },
636 "properties": {
637 "site_id": "EG-CAI-005",
638 "feature_kind": "marker_gateway",
639 "name_en": "Al-Hussein Mosque",
640 "name_ar": "مسجد الحسين"
641 }
642 },
643 {
644 "type": "Feature",
645 "geometry": {
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650 ]
651 },
652 "properties": {
653 "site_id": "EG-CAI-005",
654 "feature_kind": "marker_mihrab",
655 "name_en": "Al-Hussein Mosque",
656 "name_ar": "مسجد الحسين"
657 }
658 },
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718 "name_ar": "بيت السحيمي"
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744 "name_ar": "بيت السحيمي"
745 }
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759 "name_en": "Bayt Al-Suhaymi",
760 "name_ar": "بيت السحيمي"
761 }
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775 "name_en": "Bayt Al-Suhaymi",
776 "name_ar": "بيت السحيمي"
777 }
778 },
779 {
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788 "properties": {
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790 "feature_kind": "marker_minaret",
791 "name_en": "Bayt Al-Suhaymi",
792 "name_ar": "بيت السحيمي"
793 }
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854 "name_ar": "باب زويلة"
855 }
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878 "feature_kind": "axial_line_2",
879 "name_en": "Bab Zuwayla",
880 "name_ar": "باب زويلة"
881 }
882 },
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1029 {
1030 "type": "Feature",
1031 "geometry": {
1032 "type": "Point",
1033 "coordinates": [
1034 31.2615,
1035 30.0477
1036 ]
1037 },
1038 "properties": {
1039 "site_id": "EG-CAI-008",
1040 "feature_kind": "marker_gateway",
1041 "name_en": "Khan el-Khalili",
1042 "name_ar": "خان الخليلي"
1043 }
1044 },
1045 {
1046 "type": "Feature",
1047 "geometry": {
1048 "type": "Point",
1049 "coordinates": [
1050 31.2619,
1051 30.0473
1052 ]
1053 },
1054 "properties": {
1055 "site_id": "EG-CAI-008",
1056 "feature_kind": "marker_mihrab",
1057 "name_en": "Khan el-Khalili",
1058 "name_ar": "خان الخليلي"
1059 }
1060 },
1061 {
1062 "type": "Feature",
1063 "geometry": {
1064 "type": "Point",
1065 "coordinates": [
1066 31.2615,
1067 30.0469
1068 ]
1069 },
1070 "properties": {
1071 "site_id": "EG-CAI-008",
1072 "feature_kind": "marker_minaret",
1073 "name_en": "Khan el-Khalili",
1074 "name_ar": "خان الخليلي"
1075 }
1076 },
1077 {
1078 "type": "Feature",
1079 "geometry": {
1080 "type": "Polygon",
1081 "coordinates": [
1082 [
1083 [
1084 31.2599,
1085 30.0504
1086 ],
1087 [
1088 31.2611,
1089 30.0504
1090 ],
1091 [
1092 31.2611,
1093 30.0516
1094 ],
1095 [
1096 31.2599,
1097 30.0516
1098 ],
1099 [
1100 31.2599,
1101 30.0504
1102 ]
1103 ]
1104 ]
1105 },
1106 "properties": {
1107 "site_id": "EG-CAI-009",
1108 "feature_kind": "enclosure",
1109 "name_en": "Sabil-Kuttab of Katkhuda",
1110 "name_ar": "سبيل وكتاب عبد الرحمن كتخدا"
1111 }
1112 },
1113 {
1114 "type": "Feature",
1115 "geometry": {
1116 "type": "LineString",
1117 "coordinates": [
1118 [
1119 31.2595,
1120 30.0509
1121 ],
1122 [
1123 31.2605,
1124 30.051
1125 ],
1126 [
1127 31.2615,
1128 30.0511
1129 ]
1130 ]
1131 },
1132 "properties": {
1133 "site_id": "EG-CAI-009",
1134 "feature_kind": "axial_line_1",
1135 "name_en": "Sabil-Kuttab of Katkhuda",
1136 "name_ar": "سبيل وكتاب عبد الرحمن كتخدا"
1137 }
1138 },
1139 {
1140 "type": "Feature",
1141 "geometry": {
1142 "type": "Point",
1143 "coordinates": [
1144 31.2605,
1145 30.0514
1146 ]
1147 },
1148 "properties": {
1149 "site_id": "EG-CAI-009",
1150 "feature_kind": "marker_gateway",
1151 "name_en": "Sabil-Kuttab of Katkhuda",
1152 "name_ar": "سبيل وكتاب عبد الرحمن كتخدا"
1153 }
1154 },
1155 {
1156 "type": "Feature",
1157 "geometry": {
1158 "type": "Point",
1159 "coordinates": [
1160 31.2609,
1161 30.051
1162 ]
1163 },
1164 "properties": {
1165 "site_id": "EG-CAI-009",
1166 "feature_kind": "marker_mihrab",
1167 "name_en": "Sabil-Kuttab of Katkhuda",
1168 "name_ar": "سبيل وكتاب عبد الرحمن كتخدا"
1169 }
1170 },
1171 {
1172 "type": "Feature",
1173 "geometry": {
1174 "type": "MultiPolygon",
1175 "coordinates": [
1176 [
1177 [
1178 [
1179 31.2624,
1180 30.0549
1181 ],
1182 [
1183 31.2636,
1184 30.0549
1185 ],
1186 [
1187 31.2636,
1188 30.0561
1189 ],
1190 [
1191 31.2624,
1192 30.0561
1193 ],
1194 [
1195 31.2624,
1196 30.0549
1197 ]
1198 ]
1199 ],
1200 [
1201 [
1202 [
1203 31.26405,
1204 30.05599
1205 ],
1206 [
1207 31.26475,
1208 30.05599
1209 ],
1210 [
1211 31.26475,
1212 30.05669
1213 ],
1214 [
1215 31.26405,
1216 30.05669
1217 ],
1218 [
1219 31.26405,
1220 30.05599
1221 ]
1222 ]
1223 ]
1224 ]
1225 },
1226 "properties": {
1227 "site_id": "EG-CAI-010",
1228 "feature_kind": "enclosure",
1229 "name_en": "Mosque of Al-Hakim",
1230 "name_ar": "مسجد الحاكم بأمر الله"
1231 }
1232 },
1233 {
1234 "type": "Feature",
1235 "geometry": {
1236 "type": "LineString",
1237 "coordinates": [
1238 [
1239 31.262,
1240 30.0554
1241 ],
1242 [
1243 31.263,
1244 30.0555
1245 ],
1246 [
1247 31.264,
1248 30.0556
1249 ]
1250 ]
1251 },
1252 "properties": {
1253 "site_id": "EG-CAI-010",
1254 "feature_kind": "axial_line_1",
1255 "name_en": "Mosque of Al-Hakim",
1256 "name_ar": "مسجد الحاكم بأمر الله"
1257 }
1258 },
1259 {
1260 "type": "Feature",
1261 "geometry": {
1262 "type": "Point",
1263 "coordinates": [
1264 31.263,
1265 30.0559
1266 ]
1267 },
1268 "properties": {
1269 "site_id": "EG-CAI-010",
1270 "feature_kind": "marker_gateway",
1271 "name_en": "Mosque of Al-Hakim",
1272 "name_ar": "مسجد الحاكم بأمر الله"
1273 }
1274 },
1275 {
1276 "type": "Feature",
1277 "geometry": {
1278 "type": "Point",
1279 "coordinates": [
1280 31.2634,
1281 30.0555
1282 ]
1283 },
1284 "properties": {
1285 "site_id": "EG-CAI-010",
1286 "feature_kind": "marker_mihrab",
1287 "name_en": "Mosque of Al-Hakim",
1288 "name_ar": "مسجد الحاكم بأمر الله"
1289 }
1290 }
1291 ]
1292 }
0:03
Bash
ls -lh /work/heritage_sites.geojson
-rw-r--r-- 1 agent agent 27K Jun 18 14:21 /work/heritage_sites.geojson
0:15
Let me analyze the data: 1. The GeoJSON has features with mixed geometry types: Point, LineString, Polygon, and MultiPolygon 2. Features share `site_id` across geometry types 3. I need to: - Separate into 3 GPKG layers: `points`, `lines`, `polygons` - Explode multi-part geometries into single-part - Reproject to Egypt's national grid Egypt's national grid is **EPSG:22992** (Egypt Red Belt / TM) or more commonly **EPSG:23831** (et al.)... Let me think carefully. Egypt's official national grid systems: - **EPSG:22992** — Egypt Red Belt / TM (extended to cover all of Egypt) - Actually, the more common one for nationwide use is **EPSG:22992** (Egypt Red Belt / TM) or the **Egyptian Transverse Mercator** zones. Let me check: Egypt uses several UTM zones (35N, 36N) but those aren't really "national" grids. The Egyptian national grid is often **EPSG:22992** - "Egypt Red Belt / TM". But let me verify - actually some sources say it's Egypt Blue Belt or Purple Belt. Actually, looking more carefully: - EPSG:22992 - Egypt Red Belt / TM (Red Belt) - EPSG:22993 - Egypt Purple Belt / TM (Purple Belt) - EPSG:22994 - Egypt Extended Purple Belt / TM The most commonly used "national grid" for Egypt in GIS is **EPSG:22992** - Egypt Red Belt / TM. But wait, let me think about which one covers the whole country. Actually, for modern work, the official national grid of Egypt is **EPSG:7275** - Egypt NG / Red Belt TM. Or perhaps more commonly people use **EPSG:32635** and **EPSG:32636** (UTM zones 35N/36N). Let me go with **EPSG:22992** (Egypt Red Belt / TM) which is commonly referred to as Egypt's national grid. The coordinates are in degrees so the data is in WGS84 (EPSG:4326 as the GeoJSON CRS says CRS84). Actually, I should double check - let me use a well-known one. The "Egypt Red Belt" EPSG:22992 is indeed the classic Egyptian national grid. Let me use that. Now let me write the script. I'll use GeoPandas to: 1. Read the GeoJSON 2. Filter by geometry type 3. Explode multi-part to single-part 4. Reproject to EPSG:22992 (Egypt Red Belt) 5. Write each to a separate GPKG layer Let me write this.
0:15
0:15
Write
/work/solve.py
content · 72 lines · py
import geopandas as gpd
from shapely.geometry import Point, LineString, Polygon
from shapely import is_multi, get_parts
# ── 1. Read source ──────────────────────────────────────────────────
src = gpd.read_file("/work/heritage_sites.geojson")
print(f"Total features read: {len(src)}")
print(f"Original CRS: {src.crs}")
# ── 2. Reproject to Egypt national grid ─────────────────────────────
# EPSG:22992 — Egypt Red Belt / TM (the classic Egyptian national grid)
EGYPT_GRID = "EPSG:22992"
src = src.to_crs(EGYPT_GRID)
print(f"Reprojected to {EGYPT_GRID}")
# ── 3. Separate by geometry type and explode multi-parts ────────────
def extract_singlepart(gdf, allowed_base_types):
"""
Keep only features whose geometry type (after exploding multi to single)
is one of the allowed_base_types (e.g. {'Point', 'LineString', 'Polygon'}).
Returns a new GDF with only single-part geometries.
"""
rows = []
for _, row in gdf.iterrows():
geom = row.geometry
if geom is None or geom.is_empty:
continue
if is_multi(geom):
parts = get_parts(geom)
else:
parts = [geom]
for part in parts:
if part.geom_type in allowed_base_types:
new_row = row.copy()
new_row.geometry = part
rows.append(new_row)
result = gpd.GeoDataFrame(rows, crs=gdf.crs)
return result
points_gdf = extract_singlepart(src, {"Point"})
lines_gdf = extract_singlepart(src, {"LineString"})
polygons_gdf = extract_singlepart(src, {"Polygon"})
print(f"\nPoints: {len(points_gdf)} features")
print(f"Lines: {len(lines_gdf)} features")
print(f"Polygons: {len(polygons_gdf)} features")
# Quick sanity — print a few site_ids
for name, gdf in [("points", points_gdf), ("lines", lines_gdf), ("polygons", polygons_gdf)]:
print(f"\n{name} site_ids: {sorted(gdf['site_id'].unique())}")
# ── 4. Write to typed GPKG layers ───────────────────────────────────
OUTPUT = "/work/heritage.gpkg"
# Remove existing file so we start fresh
import os
if os.path.exists(OUTPUT):
os.remove(OUTPUT)
# Write each layer with its own geometry type
points_gdf.to_file(OUTPUT, layer="points", driver="GPKG")
lines_gdf.to_file(OUTPUT, layer="lines", driver="GPKG")
polygons_gdf.to_file(OUTPUT, layer="polygons", driver="GPKG")
print(f"\n✅ Written {OUTPUT}")
print(f"Layers: ", end="")
for layer in gpd.list_layers(OUTPUT)["name"]:
print(layer, end=" ")
print()Wrote /work/solve.py (2482 chars).
0:20
Let me run the script to see if it works.
0:20
Bash
cd /work && python solve.py
Traceback (most recent call last):
File "/work/solve.py", line 3, in <module>
from shapely import is_multi, get_parts
ImportError: cannot import name 'is_multi' from 'shapely' (/usr/local/lib/python3.14/site-packages/shapely/__init__.py)
0:28
The shapely version doesn't have `is_multi` and `get_parts`. Let me use the older API. I can check for multi-geometry with `hasattr(geom, 'geoms')` or check `geom.geom_type.startswith('Multi')`.
0:28
Edit
/work/solve.py
Edited /work/solve.py.
0:37
Let me check what shapely API is available in the installed version, and rewrite the explosion logic to use simple type checks instead.
0:37
Bash
cd /work && python -c "import shapely; print(shapely.__version__)"
2.1.2
0:42
Shapely 2.1.2 has `is_multi` and `get_parts` - actually let me check the actual names. In shapely 2.x, the functions are: - `shapely.is_multi(geom)` - `shapely.get_parts(geom)` (this was added in 2.0) Wait, but the import failed. Let me check the actual API. Actually the issue might be that in Shapely 2.x, these are available from `shapely` directly. Let me check.
0:42
Bash
cd /work && python -c "from shapely import is_multi, get_parts; print('ok')" 2>&...
Traceback (most recent call last):
File "<string>", line 1, in <module>
from shapely import is_multi, get_parts; print('ok')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ImportError: cannot import name 'is_multi' from 'shapely' (/usr/local/lib/python3.14/site-packages/shapely/__init__.py)
0:48
Let me check what's available in shapely 2.1.2:
0:48
Bash
cd /work && python -c "
cd /work && python -c "
import shapely
# Check available functions
print([x for x in dir(shapely) if not x.startswith('_')])
"
['BufferCapStyle', 'BufferJoinStyle', 'GEOSException', 'Geometry', 'GeometryCollection', 'GeometryType', 'LineString', 'LinearRing', 'MultiLineString', 'MultiPoint', 'MultiPolygon', 'Point', 'Polygon', 'STRtree', 'affinity', 'algorithms', 'area', 'boundary', 'bounds', 'box', 'buffer', 'build_area', 'centroid', 'clip_by_rect', 'concave_hull', 'constrained_delaunay_triangles', 'constructive', 'contains', 'contains_properly', 'contains_xy', 'convex_hull', 'coordinates', 'coords', 'count_coordinates', 'coverage_invalid_edges', 'coverage_is_valid', 'coverage_simplify', 'coverage_union', 'coverage_union_all', 'covered_by', 'covers', 'creation', 'crosses', 'decorators', 'delaunay_triangles', 'destroy_prepared', 'difference', 'disjoint', 'disjoint_subset_union', 'disjoint_subset_union_all', 'distance', 'dwithin', 'empty', 'envelope', 'equals', 'equals_exact', 'equals_identical', 'errors', 'extract_unique_points', 'force_2d', 'force_3d', 'frechet_distance', 'from_geojson', 'from_ragged_array', 'from_wkb', 'from_wkt', 'geometry', 'geometrycollections', 'geos_capi_version', 'geos_capi_version_string', 'geos_version', 'geos_version_string', 'get_coordinate_dimension', 'get_coordinates', 'get_dimensions', 'get_exterior_ring', 'get_geometry', 'get_interior_ring', 'get_m', 'get_num_coordinates', 'get_num_geometries', 'get_num_interior_rings', 'get_num_points', 'get_parts', 'get_point', 'get_precision', 'get_rings', 'get_srid', 'get_type_id', 'get_x', 'get_y', 'get_z', 'has_m', 'has_z', 'hausdorff_distance', 'intersection', 'intersection_all', 'intersects', 'intersects_xy', 'io', 'is_ccw', 'is_closed', 'is_empty', 'is_geometry', 'is_missing', 'is_prepared', 'is_ring', 'is_simple', 'is_valid', 'is_valid_input', 'is_valid_reason', 'length', 'lib', 'line_interpolate_point', 'line_locate_point', 'line_merge', 'linear', 'linearrings', 'linestrings', 'make_valid', 'maximum_inscribed_circle', 'measurement', 'minimum_bounding_circle', 'minimum_bounding_radius', 'minimum_clearance', 'minimum_clearance_line', 'minimum_rotated_rectangle', 'multilinestrings', 'multipoints', 'multipolygons', 'node', 'normalize', 'offset_curve', 'orient_polygons', 'oriented_envelope', 'overlaps', 'point_on_surface', 'points', 'polygonize', 'polygonize_full', 'polygons', 'predicates', 'prepare', 'relate', 'relate_pattern', 'remove_repeated_points', 'reverse', 'segmentize', 'set_coordinates', 'set_operations', 'set_precision', 'set_srid', 'setup_signal_checks', 'shared_paths', 'shortest_line', 'simplify', 'snap', 'strtree', 'symmetric_difference', 'symmetric_difference_all', 'to_geojson', 'to_ragged_array', 'to_wkb', 'to_wkt', 'total_bounds', 'touches', 'transform', 'unary_union', 'union', 'union_all', 'voronoi_polygons', 'within']
0:54
There's no `is_multi` in shapely 2.1.2. But `get_parts` is available. I can check if a geometry is multi by checking if its type starts with "Multi". Let me update the script.
0:54
Read
/work/solve.py
1 import geopandas as gpd
2 from shapely.geometry import Point, LineString, Polygon
3
4 # ── 1. Read source ──────────────────────────────────────────────────
5 src = gpd.read_file("/work/heritage_sites.geojson")
6 print(f"Total features read: {len(src)}")
7 print(f"Original CRS: {src.crs}")
8
9 # ── 2. Reproject to Egypt national grid ─────────────────────────────
10 # EPSG:22992 — Egypt Red Belt / TM (the classic Egyptian national grid)
11 EGYPT_GRID = "EPSG:22992"
12 src = src.to_crs(EGYPT_GRID)
13 print(f"Reprojected to {EGYPT_GRID}")
14
15 # ── 3. Separate by geometry type and explode multi-parts ────────────
16 def extract_singlepart(gdf, allowed_base_types):
17 """
18 Keep only features whose geometry type (after exploding multi to single)
19 is one of the allowed_base_types (e.g. {'Point', 'LineString', 'Polygon'}).
20 Returns a new GDF with only single-part geometries.
21 """
22 rows = []
23 for _, row in gdf.iterrows():
24 geom = row.geometry
25 if geom is None or geom.is_empty:
26 continue
27
28 if is_multi(geom):
29 parts = get_parts(geom)
30 else:
31 parts = [geom]
32
33 for part in parts:
34 if part.geom_type in allowed_base_types:
35 new_row = row.copy()
36 new_row.geometry = part
37 rows.append(new_row)
38
39 result = gpd.GeoDataFrame(rows, crs=gdf.crs)
40 return result
41
42 points_gdf = extract_singlepart(src, {"Point"})
43 lines_gdf = extract_singlepart(src, {"LineString"})
44 polygons_gdf = extract_singlepart(src, {"Polygon"})
45
46 print(f"\nPoints: {len(points_gdf)} features")
47 print(f"Lines: {len(lines_gdf)} features")
48 print(f"Polygons: {len(polygons_gdf)} features")
49
50 # Quick sanity — print a few site_ids
51 for name, gdf in [("points", points_gdf), ("lines", lines_gdf), ("polygons", polygons_gdf)]:
52 print(f"\n{name} site_ids: {sorted(gdf['site_id'].unique())}")
53
54 # ── 4. Write to typed GPKG layers ───────────────────────────────────
55 OUTPUT = "/work/heritage.gpkg"
56
57 # Remove existing file so we start fresh
58 import os
59 if os.path.exists(OUTPUT):
60 os.remove(OUTPUT)
61
62 # Write each layer with its own geometry type
63 points_gdf.to_file(OUTPUT, layer="points", driver="GPKG")
64 lines_gdf.to_file(OUTPUT, layer="lines", driver="GPKG")
65 polygons_gdf.to_file(OUTPUT, layer="polygons", driver="GPKG")
66
67 print(f"\n✅ Written {OUTPUT}")
68 print(f"Layers: ", end="")
69 for layer in gpd.list_layers(OUTPUT)["name"]:
70 print(layer, end=" ")
71 print()
1:05
I see `is_multi` is not available in this version, but `get_parts` is. Let me use `shapely.get_num_geometries` instead of `is_multi`, or just check the geometry type string to determine if it's multi. Actually, I can use `geom.geom_type` to check if it starts with "Multi". Or I can use `hasattr` check, but simpler: I'll just check `geom.geom_type` for "Multi" prefix, or I can use `shapely.get_num_geometries(geom)` which returns >1 for multi-geometries. Actually the simplest approach: use `shapely.get_parts` which works for both single and multi geometries - it returns a list of parts. Let me just fix the function.
1:05
Write
/work/solve.py
content · 70 lines · py
import geopandas as gpd
from shapely.geometry import Point, LineString, Polygon
from shapely import get_parts
# ── 1. Read source ──────────────────────────────────────────────────
src = gpd.read_file("/work/heritage_sites.geojson")
print(f"Total features read: {len(src)}")
print(f"Original CRS: {src.crs}")
# ── 2. Reproject to Egypt national grid ─────────────────────────────
# EPSG:22992 — Egypt Red Belt / TM (the classic Egyptian national grid)
EGYPT_GRID = "EPSG:22992"
src = src.to_crs(EGYPT_GRID)
print(f"Reprojected to {EGYPT_GRID}")
# ── 3. Separate by geometry type and explode multi-parts ────────────
def extract_singlepart(gdf, allowed_base_types):
"""
Keep only features whose geometry type (after exploding multi to single)
is one of the allowed_base_types (e.g. {'Point', 'LineString', 'Polygon'}).
Returns a new GDF with only single-part geometries.
"""
rows = []
for _, row in gdf.iterrows():
geom = row.geometry
if geom is None or geom.is_empty:
continue
# get_parts works on both single and multi geometries
parts = get_parts(geom)
for part in parts:
if part.geom_type in allowed_base_types:
new_row = row.copy()
new_row.geometry = part
rows.append(new_row)
result = gpd.GeoDataFrame(rows, crs=gdf.crs)
return result
points_gdf = extract_singlepart(src, {"Point"})
lines_gdf = extract_singlepart(src, {"LineString"})
polygons_gdf = extract_singlepart(src, {"Polygon"})
print(f"\nPoints: {len(points_gdf)} features")
print(f"Lines: {len(lines_gdf)} features")
print(f"Polygons: {len(polygons_gdf)} features")
# Quick sanity — print site_ids
for name, gdf in [("points", points_gdf), ("lines", lines_gdf), ("polygons", polygons_gdf)]:
print(f"\n{name} site_ids: {sorted(gdf['site_id'].unique())}")
# ── 4. Write to typed GPKG layers ───────────────────────────────────
OUTPUT = "/work/heritage.gpkg"
# Remove existing file so we start fresh
import os
if os.path.exists(OUTPUT):
os.remove(OUTPUT)
# Write each layer with its own geometry type
points_gdf.to_file(OUTPUT, layer="points", driver="GPKG")
lines_gdf.to_file(OUTPUT, layer="lines", driver="GPKG")
polygons_gdf.to_file(OUTPUT, layer="polygons", driver="GPKG")
print(f"\n✅ Written {OUTPUT}")
print(f"Layers: ", end="")
for layer in gpd.list_layers(OUTPUT)["name"]:
print(layer, end=" ")
print()Wrote /work/solve.py (2456 chars).
1:10
Wait, `get_parts` works on a single Polygon? Let me check - actually `get_parts` in shapely 2.x should work on any geometry, returning a list of parts. For a single Polygon it should return `[Polygon]`. Let me verify this works.
1:10
Bash
cd /work && python -c "
cd /work && python -c " from shapely import get_parts, Polygon p = Polygon([(0,0),(1,0),(1,1),(0,0)]) print(get_parts(p)) "
[<POLYGON ((0 0, 1 0, 1 1, 0 0))>]
1:16
`get_parts` works on single geometries too, returning them in a list. Great, let me run the script now.
1:16
1:16
Bash
cd /work && python solve.py
Total features read: 50 Original CRS: EPSG:4326 Reprojected to EPSG:22992 Points: 25 features Lines: 15 features Polygons: 15 features points site_ids: ['EG-CAI-001', 'EG-CAI-002', 'EG-CAI-003', 'EG-CAI-004', 'EG-CAI-005', 'EG-CAI-006', 'EG-CAI-007', 'EG-CAI-008', 'EG-CAI-009', 'EG-CAI-010'] lines site_ids: ['EG-CAI-001', 'EG-CAI-002', 'EG-CAI-003', 'EG-CAI-004', 'EG-CAI-005', 'EG-CAI-006', 'EG-CAI-007', 'EG-CAI-008', 'EG-CAI-009', 'EG-CAI-010'] polygons site_ids: ['EG-CAI-001', 'EG-CAI-002', 'EG-CAI-003', 'EG-CAI-004', 'EG-CAI-005', 'EG-CAI-006', 'EG-CAI-007', 'EG-CAI-008', 'EG-CAI-009', 'EG-CAI-010'] ✅ Written /work/heritage.gpkg Layers: points lines polygons
1:27
The script ran successfully. Let me verify the output: 1. 50 features total read from GeoJSON 2. 25 points, 15 lines, 15 polygons (sum = 55 after exploding multis to singles) - The source had: Points (15), Lines (15), Polygons (5) + MultiPolygons (5) = the MultiPolygons get exploded into 2 parts each = 10 single polygons, plus the 5 single polygons = 15. That checks out. - Points: 15 point features → 15. Wait, the source had 15 Point features... let me recount. Actually looking at the data: EG-CAI-001 has 3 points, EG-CAI-002 has 2 points, EG-CAI-003 has 3 points, EG-CAI-004 has 3 points, EG-CAI-005 has 2 points, EG-CAI-006 has 3 points, EG-CAI-007 has 2 points, EG-CAI-008 has 3 points, EG-CAI-009 has 2 points, EG-CAI-010 has 2 points = 25 points. Yes! 3. All 10 site_ids appear in all 3 layers ✓ 4. CRS is EPSG:22992 (Egypt Red Belt / TM) ✓ 5. 3 layers in GPKG: points, lines, polygons ✓ 6. GPKG file exists ✓ Let me also verify the geometry types of each layer.
1:27
Bash
cd /work && python -c "
cd /work && python -c "
import geopandas as gpd
for layer in ['points', 'lines', 'polygons']:
gdf = gpd.read_file('/work/heritage.gpkg', layer=layer)
print(f'{layer}: {len(gdf)} features, geom_types={set(gdf.geometry.geom_type)}, CRS={gdf.crs}')
print(f' sample site_ids: {sorted(gdf[\"site_id\"].unique())}')
print()
"
points: 25 features, geom_types={'Point'}, CRS=EPSG:22992
sample site_ids: ['EG-CAI-001', 'EG-CAI-002', 'EG-CAI-003', 'EG-CAI-004', 'EG-CAI-005', 'EG-CAI-006', 'EG-CAI-007', 'EG-CAI-008', 'EG-CAI-009', 'EG-CAI-010']
lines: 15 features, geom_types={'LineString'}, CRS=EPSG:22992
sample site_ids: ['EG-CAI-001', 'EG-CAI-002', 'EG-CAI-003', 'EG-CAI-004', 'EG-CAI-005', 'EG-CAI-006', 'EG-CAI-007', 'EG-CAI-008', 'EG-CAI-009', 'EG-CAI-010']
polygons: 15 features, geom_types={'Polygon'}, CRS=EPSG:22992
sample site_ids: ['EG-CAI-001', 'EG-CAI-002', 'EG-CAI-003', 'EG-CAI-004', 'EG-CAI-005', 'EG-CAI-006', 'EG-CAI-007', 'EG-CAI-008', 'EG-CAI-009', 'EG-CAI-010']
1:28
Bash
ls -lh /work/heritage.gpkg
-rw-r--r-- 1 agent agent 136K Jun 18 14:22 /work/heritage.gpkg
1:36
Everything looks good. Let me verify: 1. **`heritage.gpkg`** exists (136K) ✓ 2. **Three layers**: `points`, `lines`, `polygons` ✓ 3. **All single-part**: Point, LineString, Polygon only (no Multi*) ✓ 4. **Typed GPKG layers** (each layer has a single geometry type) ✓ 5. **All features have `site_id`** ✓ 6. **Egypt national grid**: EPSG:22992 ✓ 7. **MultiPolygons exploded** into separate Polygon features (15 polygon features vs original 10 features with polygons + multipolygons) ✓ 8. **All 10 site_ids** present across all layers ✓ Let me also quickly verify the coordinate magnitudes are sensible for EPSG:22992 (Red Belt / TM - Egypt). The coordinates should be in the range of ~10^5 to ~10^6 meters.
1:36