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Publish curated GeoIntel source from 1dd0ededefb2fa3cfdef771106aec0fc54fd87d3

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Public Source Publisher committed 2026-10-01 18:40:33 +00:00
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PUBLIC_SOURCE_EXPORT.md
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@@ -1,3 +1,3 @@
# Public source export # Public source export
This source snapshot was generated from the private canonical repository at revision `e92b13f5511700f5410671ee9dd7476efa584d8c`. It contains no private Git history or operational evidence. Changes are published from the canonical repository. This source snapshot was generated from the private canonical repository at revision `1dd0ededefb2fa3cfdef771106aec0fc54fd87d3`. It contains no private Git history or operational evidence. Changes are published from the canonical repository.
PUBLIC_SOURCE_MANIFEST.json
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{ {
"schemaVersion": 1, "schemaVersion": 1,
"sourceRevision": "e92b13f5511700f5410671ee9dd7476efa584d8c", "sourceRevision": "1dd0ededefb2fa3cfdef771106aec0fc54fd87d3",
"files": [ "files": [
{ {
"path": ".dockerignore", "path": ".dockerignore",
@@ -44,8 +44,8 @@
}, },
{ {
"path": "README.md", "path": "README.md",
"sha256": "650316a7f7a185bb0100d48e5cf092b4b624d6e3066e54f827f7aab0ee95b481", "sha256": "67defbcc1684dfc0010519fe2919a16d9761d18674c9397662b2dfc10706be66",
"bytes": 4394 "bytes": 5045
}, },
{ {
"path": "SECURITY.md", "path": "SECURITY.md",
@@ -984,27 +984,27 @@
}, },
{ {
"path": "backend/pyproject.toml", "path": "backend/pyproject.toml",
"sha256": "616e61389aaab9d325926558f290959fdff338f60a30ebdb25f24255e77d295e", "sha256": "7be6d6dd3b81474a4bb50ed8df855d72f136b5d986a49ee64a5fac6ff5495c2f",
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"path": "backend/requirements-ai-linux.lock", "path": "backend/requirements-ai-linux.lock",
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{ {
"path": "backend/requirements-build-tools.lock", "path": "backend/requirements-build-tools.lock",
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{ {
"path": "backend/requirements-ci.lock", "path": "backend/requirements-ci.lock",
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"path": "backend/requirements-runtime.lock", "path": "backend/requirements-runtime.lock",
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@@ -1199,7 +1199,7 @@
}, },
{ {
"path": "backend/tests/test_docker_runtime_config.py", "path": "backend/tests/test_docker_runtime_config.py",
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{ {
@@ -1379,7 +1379,7 @@
}, },
{ {
"path": "backend/tests/test_rc6_supply_chain.py", "path": "backend/tests/test_rc6_supply_chain.py",
"sha256": "7079e746893d7a9ce92cfa0233965d273f9f85ac06064480dc29652ea8181d28", "sha256": "7f9482fc76315951187e59e70b1b0e5588a85c11ce85cb48666747b9015b5c02",
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README.md
+6
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@@ -42,6 +42,12 @@ docker compose up --build
Open <http://localhost:1202>. The development stack uses Python 3.11+, Node 20.19+ or 22.12+, and PostgreSQL/PostGIS. Set `GEOINTEL_AUTH_ENABLED=true` and explicitly opt in with `GEOINTEL_GUEST_ACCESS_ENABLED=true` only for a dedicated public-data demo. Guest sessions are short-lived and project-bound; administration and uploads remain restricted. Open <http://localhost:1202>. The development stack uses Python 3.11+, Node 20.19+ or 22.12+, and PostgreSQL/PostGIS. Set `GEOINTEL_AUTH_ENABLED=true` and explicitly opt in with `GEOINTEL_GUEST_ACCESS_ENABLED=true` only for a dedicated public-data demo. Guest sessions are short-lived and project-bound; administration and uploads remain restricted.
## Work through an area of interest
Begin with a small area, select the appropriate source coverage and inspect acquisition dates, coordinate reference systems and quality indicators. Compare the source layers before running an optional model. Review the result against the input evidence, then export the geometry with its provenance.
Do not treat missing coverage as an empty real-world scene. Building footprints and roof geometry answer different questions, and results from different dates may not be directly comparable. An inference workflow needs the configured model artifacts and supported runtime in addition to a working map interface.
## Technical overview ## Technical overview
```mermaid ```mermaid
backend/pyproject.toml
+1 -1
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@@ -17,7 +17,7 @@ dependencies = [
"pyproj>=3.6.1", "pyproj>=3.6.1",
"python-multipart>=0.0.9", "python-multipart>=0.0.9",
"itsdangerous>=2.2.0", "itsdangerous>=2.2.0",
"PyJWT[crypto]>=2.14.0", "PyJWT[crypto]>=2.15.1",
"rdflib>=7.1,<8", "rdflib>=7.1,<8",
"alembic>=1.13.2", "alembic>=1.13.2",
] ]
backend/requirements-ai-linux.lock
+20 -20
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@@ -1,13 +1,13 @@
# Linux x86_64 / CPython 3.11 AI runtime lock. # Linux x86_64 / CPython 3.11 AI runtime lock.
# #
# Resolved on Linux for the production CUDA 12.8 image. Every artifact is # Resolved on Linux for the production CUDA 12.6 image. Every artifact is
# pinned by version and SHA-256 so installation fails closed on index drift. # pinned by version and SHA-256 so installation fails closed on index drift.
certifi==2026.7.22 --hash=sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775 certifi==2026.7.22 --hash=sha256:62f22742b58a1a33014a2b6b706588a8d7e2a88ae7bd1a6ebe8c992928483775
charset-normalizer==3.5.1 --hash=sha256:c7b742bf31c88566b4bb6335a7f393bb322e580b6bb98df7bd0c25e6e3519ce8 charset-normalizer==3.5.1 --hash=sha256:c7b742bf31c88566b4bb6335a7f393bb322e580b6bb98df7bd0c25e6e3519ce8
contourpy==1.3.3 --hash=sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db contourpy==1.3.3 --hash=sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db
cuda-bindings==12.9.7 --hash=sha256:c6496a88d84b1209d6651b0370c19c26319e157c22f6d018bf9a358cd8049041 cuda-bindings==12.9.7 --hash=sha256:c6496a88d84b1209d6651b0370c19c26319e157c22f6d018bf9a358cd8049041
cuda-pathfinder==1.8.0 --hash=sha256:c44e574dc997fae2814721d1ae97d0fd6db76db82decbe9b753bf75de53f515e cuda-pathfinder==1.8.0 --hash=sha256:c44e574dc997fae2814721d1ae97d0fd6db76db82decbe9b753bf75de53f515e
cuda-toolkit==12.8.1 --hash=sha256:adc7906af4ecbf9a352f9dca5734eceb21daec281ccfcf5675e1d2f724fc2cba cuda-toolkit==12.6.3 --hash=sha256:79d8605baeb6c2f695761e0efb54bc62dbc3c9e32eb0742df7669c07befaa8f7
cycler==0.12.1 --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 cycler==0.12.1 --hash=sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30
filelock==3.32.5 --hash=sha256:142cd9fa77a872c5e78c62329a0d15278fadc686eb89e760017968961a4fd6b2 filelock==3.32.5 --hash=sha256:142cd9fa77a872c5e78c62329a0d15278fadc686eb89e760017968961a4fd6b2
fonttools==4.64.0 --hash=sha256:ff7aff4637fbf71394df139c63ccfe08a47aa4252d2f91224ddb3335c716c925 fonttools==4.64.0 --hash=sha256:ff7aff4637fbf71394df139c63ccfe08a47aa4252d2f91224ddb3335c716c925
@@ -20,22 +20,22 @@ matplotlib==3.11.1 --hash=sha256:aee55e9041211bf84302ab55ec3965df18dd90ae19f8b58
mpmath==1.3.0 --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c mpmath==1.3.0 --hash=sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c
networkx==3.6.1 --hash=sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762 networkx==3.6.1 --hash=sha256:d47fbf302e7d9cbbb9e2555a0d267983d2aa476bac30e90dfbe5669bd57f3762
numpy==2.4.6 --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 numpy==2.4.6 --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93
nvidia-cublas-cu12==12.8.4.1 --hash=sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142 nvidia-cublas-cu12==12.6.4.1 --hash=sha256:08ed2686e9875d01b58e3cb379c6896df8e76c75e0d4a7f7dace3d7b6d9ef8eb
nvidia-cuda-cupti-cu12==12.8.90 --hash=sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182 nvidia-cuda-cupti-cu12==12.6.80 --hash=sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132 --hash=sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73
nvidia-cuda-nvrtc-cu12==12.8.93 --hash=sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994 nvidia-cuda-nvrtc-cu12==12.6.85 --hash=sha256:800927308ccc5dd6246d3f61f7fcef2ed7ec4e59e199090d360d3293f78bd5a2
nvidia-cuda-runtime-cu12==12.8.90 --hash=sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90 nvidia-cuda-runtime-cu12==12.6.77 --hash=sha256:a84d15d5e1da416dd4774cb42edf5e954a3e60cc945698dc1d5be02321c44dc8 --hash=sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7
nvidia-cudnn-cu12==9.19.0.56 --hash=sha256:ac6ad90a075bb33a94f2b4cf4622eac13dd4dc65cf6dd9c7572a318516a36625 nvidia-cudnn-cu12==9.10.2.21 --hash=sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8
nvidia-cufft-cu12==11.3.3.83 --hash=sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74 nvidia-cufft-cu12==11.3.0.4 --hash=sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca --hash=sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5
nvidia-cufile-cu12==1.13.1.3 --hash=sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc nvidia-cufile-cu12==1.11.1.6 --hash=sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159
nvidia-curand-cu12==10.3.9.90 --hash=sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9 nvidia-curand-cu12==10.3.7.77 --hash=sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117 --hash=sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf
nvidia-cusolver-cu12==11.7.3.90 --hash=sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450 nvidia-cusolver-cu12==11.7.1.2 --hash=sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6 --hash=sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c
nvidia-cusparse-cu12==12.5.8.93 --hash=sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b nvidia-cusparse-cu12==12.5.4.2 --hash=sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f --hash=sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73
nvidia-cusparselt-cu12==0.7.1 --hash=sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623 nvidia-cusparselt-cu12==0.7.1 --hash=sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623
nvidia-ml-py==13.610.43 --hash=sha256:f13c72698edef492f985cc225f14faafe68ae065a2e407f45bdf6f4b9b43fde8 nvidia-ml-py==13.610.43 --hash=sha256:f13c72698edef492f985cc225f14faafe68ae065a2e407f45bdf6f4b9b43fde8
nvidia-nccl-cu12==2.28.9 --hash=sha256:485776daa8447da5da39681af455aa3b2c2586ddcf4af8772495e7c532c7e5ab nvidia-nccl-cu12==2.29.3 --hash=sha256:35ad42e7d5d722a83c36a3a478e281c20a5646383deaf1b9ed1a9ab7d61bed53
nvidia-nvjitlink-cu12==12.8.93 --hash=sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88 nvidia-nvjitlink-cu12==12.6.85 --hash=sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a
nvidia-nvshmem-cu12==3.4.5 --hash=sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd nvidia-nvshmem-cu12==3.4.5 --hash=sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd
nvidia-nvtx-cu12==12.8.90 --hash=sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f nvidia-nvtx-cu12==12.6.77 --hash=sha256:6574241a3ec5fdc9334353ab8c479fe75841dbe8f4532a8fc97ce63503330ba1 --hash=sha256:b90bed3df379fa79afbd21be8e04a0314336b8ae16768b58f2d34cb1d04cd7d2
opencv-python==5.0.0.93 --hash=sha256:c8de2dec111122a02e8beb28e16c31904992dfd6186560b142a92c71403c1039 opencv-python==5.0.0.93 --hash=sha256:c8de2dec111122a02e8beb28e16c31904992dfd6186560b142a92c71403c1039
packaging==26.3 --hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c packaging==26.3 --hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
pillow==12.3.0 --hash=sha256:23d27a3e0307ec2244cc51e7287b919aa68d097504ebe19df4e76a98a3eea5bd pillow==12.3.0 --hash=sha256:23d27a3e0307ec2244cc51e7287b919aa68d097504ebe19df4e76a98a3eea5bd
@@ -46,14 +46,14 @@ pyparsing==3.3.2 --hash=sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d
python-dateutil==2.9.0.post0 --hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427 python-dateutil==2.9.0.post0 --hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
pyyaml==6.0.3 --hash=sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d pyyaml==6.0.3 --hash=sha256:b8bb0864c5a28024fac8a632c443c87c5aa6f215c0b126c449ae1a150412f31d
requests==2.34.2 --hash=sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0 requests==2.34.2 --hash=sha256:2a0d60c172f83ac6ab31e4554906c0f3b3588d37b5cb939b1c061f4907e278e0
setuptools==81.0.0 --hash=sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6 setuptools==83.0.0 --hash=sha256:29b23c360f22f414dc7336bb39178cc7bcbf6021ed2733cde173f09dba19abb3
six==1.17.0 --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 six==1.17.0 --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274
sympy==1.14.0 --hash=sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5 sympy==1.14.0 --hash=sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5
torch==2.11.0+cu128 --hash=sha256:c9a7ca4c74fae10a58e6175b4b2cea953f9322bb6562bbf339ad6a05f52190ad torch==2.13.0+cu126 --hash=sha256:0f4e49e334e24b552f694f6315e0676fb3f816fb0f727871b9c6d1f73784cc25
torchvision==0.26.0+cu128 --hash=sha256:8f2629d056570c929b0a1d5473d9cb0320b90bda1764bda353553a72cc6b2069 torchvision==0.28.0+cu126 --hash=sha256:92f53415dd68e56b6f912441997ab0e78fcd6245b1706ee6e88ce2df917248fa
triton==3.6.0 --hash=sha256:e021e87e8f266c6f87bf379b669c43c2800aac6247bdf5d518cb553e3c403c00 triton==3.7.1 --hash=sha256:410d3786b2dcf1ef792046670787dc742ba8f800cf2c6dddf56e0656f2260db6
typing-extensions==4.16.0 --hash=sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8 typing-extensions==4.16.0 --hash=sha256:481caa481374e813c1b176ada14e97f1f67a4539ce9cfeb3f350d78d6370c2e8
ultralytics==8.4.99 --hash=sha256:477727b3f07de28f1f34888c7661b7cc3b6bf3e55b9675d7b3eadfa6f4747385 ultralytics==8.4.99 --hash=sha256:477727b3f07de28f1f34888c7661b7cc3b6bf3e55b9675d7b3eadfa6f4747385
ultralytics-thop==2.1.6 --hash=sha256:23f7b8ad124fa3432c1a7de9279102c4fdda699216032a7dff49f87ec3d1a3af ultralytics-thop==2.1.6 --hash=sha256:23f7b8ad124fa3432c1a7de9279102c4fdda699216032a7dff49f87ec3d1a3af
urllib3==2.7.0 --hash=sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897 urllib3==2.8.0 --hash=sha256:0cf3cae568d36aa9576b28dfb35f11328f1cb974ca7647d9475ebb86c75ac6e3
wheel==0.47.0 --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced wheel==0.47.0 --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced
backend/requirements-build-tools.lock
+1 -1
View File
@@ -1,4 +1,4 @@
# Build tooling used after the runtime dependency installation. # Build tooling used after the runtime dependency installation.
packaging==26.3 --hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c packaging==26.3 --hash=sha256:d7193f7c8e4e93f444fde0262bf90af30e16fa0ad0ad44cb553c87339b23cd1c
setuptools==81.0.0 --hash=sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6 setuptools==83.0.0 --hash=sha256:29b23c360f22f414dc7336bb39178cc7bcbf6021ed2733cde173f09dba19abb3
wheel==0.47.0 --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced wheel==0.47.0 --hash=sha256:212281cab4dff978f6cedd499cd893e1f620791ca6ff7107cf270781e587eced
backend/requirements-ci.lock
+4 -4
View File
@@ -4,7 +4,7 @@
# #
# pip-compile --extra=dev --extra=gis --generate-hashes --no-index --output-file=requirements-ci.lock --strip-extras pyproject.toml # pip-compile --extra=dev --extra=gis --generate-hashes --no-index --output-file=requirements-ci.lock --strip-extras pyproject.toml
# #
# geointel-input-sha256: 6a94d4ca9742284c1999971e00877b765d987c551b536fd1e15c146a8626f292 # geointel-input-sha256: afba213a03caac86b67dad23b0c462ff14033151deb1cba2678f9f13e26e4bd0
affine==2.4.0 \ affine==2.4.0 \
--hash=sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92 \ --hash=sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92 \
--hash=sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea --hash=sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea
@@ -1095,9 +1095,9 @@ pygments==2.20.0 \
--hash=sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f \ --hash=sha256:6757cd03768053ff99f3039c1a36d6c0aa0b263438fcab17520b30a303a82b5f \
--hash=sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176 --hash=sha256:81a9e26dd42fd28a23a2d169d86d7ac03b46e2f8b59ed4698fb4785f946d0176
# via pytest # via pytest
pyjwt==2.14.0 \ pyjwt==2.15.1 \
--hash=sha256:77283c83fb56ecf566a886c757a714bc83668e38156de2cce8263302f42e0b86 \ --hash=sha256:42d59d631f7768a1028a64c7ff581a9bf7519804daf91fc5b6c56e30eec5e193 \
--hash=sha256:ad0cef71c756a56e74863c2919cf0985f72decbcfcb550ee2f422e7c62b5eedc --hash=sha256:4f259e80cdfb6b3fc18a7de51fd1ef9ec79652f25019bae68975ca2468a34df8
# via # via
# geointel-backend (pyproject.toml) # geointel-backend (pyproject.toml)
# pyjwt # pyjwt
backend/requirements-runtime.lock
+4 -4
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@@ -4,7 +4,7 @@
# #
# pip-compile --extra=gis --generate-hashes --no-index --output-file=requirements-runtime.lock --strip-extras pyproject.toml # pip-compile --extra=gis --generate-hashes --no-index --output-file=requirements-runtime.lock --strip-extras pyproject.toml
# #
# geointel-input-sha256: 2e1bf366b76c576b2d17fba2a7841e4442a7480528fe0329a4c784401a4c5c8e # geointel-input-sha256: 2852682a6398ab7b58adabb99a25e0666a4cc563a5374e5b7f7be895196ac091
affine==2.4.0 \ affine==2.4.0 \
--hash=sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92 \ --hash=sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92 \
--hash=sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea --hash=sha256:a24d818d6a836c131976d22f8c27b8d3ca32d0af64c1d8d29deb7bafa4da1eea
@@ -880,9 +880,9 @@ pydantic-settings==2.14.2 \
--hash=sha256:a20c97b37910b6550d5ea50fbcc2d4187defe58cd57070b73863d069419c9440 \ --hash=sha256:a20c97b37910b6550d5ea50fbcc2d4187defe58cd57070b73863d069419c9440 \
--hash=sha256:c19dd64b19097f1de80184f0cc7b0272a13ae6e170cbf240a3e27e381ed14a5f --hash=sha256:c19dd64b19097f1de80184f0cc7b0272a13ae6e170cbf240a3e27e381ed14a5f
# via geointel-backend (pyproject.toml) # via geointel-backend (pyproject.toml)
pyjwt==2.14.0 \ pyjwt==2.15.1 \
--hash=sha256:77283c83fb56ecf566a886c757a714bc83668e38156de2cce8263302f42e0b86 \ --hash=sha256:42d59d631f7768a1028a64c7ff581a9bf7519804daf91fc5b6c56e30eec5e193 \
--hash=sha256:ad0cef71c756a56e74863c2919cf0985f72decbcfcb550ee2f422e7c62b5eedc --hash=sha256:4f259e80cdfb6b3fc18a7de51fd1ef9ec79652f25019bae68975ca2468a34df8
# via # via
# geointel-backend (pyproject.toml) # geointel-backend (pyproject.toml)
# pyjwt # pyjwt
backend/tests/test_docker_runtime_config.py
+4 -4
View File
@@ -474,11 +474,11 @@ def test_all_in_one_dockerfile_caches_dependencies_and_pins_driver_compatible_cu
smoke_index = dockerfile.index("RUN python scripts/gis_import_smoke.py") smoke_index = dockerfile.index("RUN python scripts/gis_import_smoke.py")
assert metadata_copy_index < placeholder_readme_index < dependency_install_index < backend_copy_index < smoke_index assert metadata_copy_index < placeholder_readme_index < dependency_install_index < backend_copy_index < smoke_index
assert "GEOINTEL_TORCH_INDEX_URL=https://download.pytorch.org/whl/cu128" in dockerfile assert "GEOINTEL_TORCH_INDEX_URL=https://download.pytorch.org/whl/cu126" in dockerfile
assert '--extra-index-url "$GEOINTEL_TORCH_INDEX_URL"' in dockerfile assert '--extra-index-url "$GEOINTEL_TORCH_INDEX_URL"' in dockerfile
ai_lock = (ROOT / "backend" / "requirements-ai-linux.lock").read_text(encoding="utf-8") ai_lock = (ROOT / "backend" / "requirements-ai-linux.lock").read_text(encoding="utf-8")
assert "torch==2.11.0+cu128 --hash=sha256:" in ai_lock assert "torch==2.13.0+cu126 --hash=sha256:" in ai_lock
assert "torchvision==0.26.0+cu128 --hash=sha256:" in ai_lock assert "torchvision==0.28.0+cu126 --hash=sha256:" in ai_lock
def test_unraid_deploy_passes_ai_build_arg_and_yolo_runtime_env() -> None: def test_unraid_deploy_passes_ai_build_arg_and_yolo_runtime_env() -> None:
@@ -509,4 +509,4 @@ def test_unraid_ai_runtime_requests_nvidia_and_fails_closed() -> None:
assert 'YOLO_DEVICE="${YOLO_DEVICE:-cuda:0}"' in run_script assert 'YOLO_DEVICE="${YOLO_DEVICE:-cuda:0}"' in run_script
assert 'YOLO_REQUIRE_CUDA="${YOLO_REQUIRE_CUDA:-true}"' in run_script assert 'YOLO_REQUIRE_CUDA="${YOLO_REQUIRE_CUDA:-true}"' in run_script
assert '-e YOLO_REQUIRE_CUDA="$YOLO_REQUIRE_CUDA"' in run_script assert '-e YOLO_REQUIRE_CUDA="$YOLO_REQUIRE_CUDA"' in run_script
assert "https://download.pytorch.org/whl/cu128" in dockerfile assert "https://download.pytorch.org/whl/cu126" in dockerfile
backend/tests/test_rc6_supply_chain.py
+1 -1
View File
@@ -182,7 +182,7 @@ def test_release_image_uses_locked_non_ai_dependencies_and_npm_ci() -> None:
assert "-r requirements-build-tools.lock" in dockerfile assert "-r requirements-build-tools.lock" in dockerfile
assert "--require-hashes" in dockerfile assert "--require-hashes" in dockerfile
assert "ultralytics==8.4.99 --hash=sha256:" in read("backend/requirements-ai-linux.lock") assert "ultralytics==8.4.99 --hash=sha256:" in read("backend/requirements-ai-linux.lock")
assert "torch==2.11.0+cu128 --hash=sha256:" in read("backend/requirements-ai-linux.lock") assert "torch==2.13.0+cu126 --hash=sha256:" in read("backend/requirements-ai-linux.lock")
assert "COPY deploy/unraid/gosu-setpriv /usr/local/bin/gosu" in dockerfile assert "COPY deploy/unraid/gosu-setpriv /usr/local/bin/gosu" in dockerfile
assert "&& pip check" in dockerfile assert "&& pip check" in dockerfile