Jens/geointel
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat(provenance): govern source snapshots and data inputs

Browse Source
This commit is contained in:
Jens
2026-08-01 23:46:17 +02:00
parent cebeb5f3b4
commit 5b3c17b494
96 changed files with 20156 additions and 351 deletions
Download Patch File Download Diff File Expand all files Collapse all files
backend/app/services/model_registry_service.py
+55 -9
View File
@@ -9,6 +9,7 @@ from app.services.segmentation_adapter import (
SamSegmentationAdapter,
YoloSegmentationAdapter,
)
from app.services.runtime_model_provenance_service import RuntimeModelProvenanceService
from app.services.yolo_adapter import YoloDetectionAdapter
from app.core.errors import AppError
@@ -144,9 +145,24 @@ class ModelRegistryService:
elif not model_path.exists() or not model_path.is_file():
limitation = "YOLO_SEG_MODEL_PATH does not point to an existing local model file. GeoIntel will not download segmentation model weights automatically."
else:
configured = True
status = "configured"
limitation = "Configured for local YOLO segmentation inference over an existing raster tile manifest."
try:
RuntimeModelProvenanceService.validate_for_runtime(
model_path=model_path,
model_id=settings.yolo_seg_model_id,
task_type="segmentation",
expected_model_version=settings.yolo_seg_model_version,
allowed_frameworks=("ultralytics/pytorch", "ultralytics", "pytorch"),
)
except AppError as exc:
status = "contract_incomplete"
limitation = (
"Configured YOLO segmentation weights are not runnable until their immutable "
f"runtime provenance sidecar validates: {exc.message}"
)
else:
configured = True
status = "configured"
limitation = "Configured for local YOLO segmentation inference over an existing raster tile manifest."
return DetectionModelCapability(
model_id=settings.yolo_seg_model_id,
@@ -186,9 +202,24 @@ class ModelRegistryService:
elif not model_path.exists() or not model_path.is_file():
limitation = "SAM_MODEL_PATH does not point to an existing local model file. GeoIntel will not download segmentation model weights automatically."
else:
configured = True
status = "configured"
limitation = "Configured for local class-agnostic SAM segmentation over an existing raster tile manifest."
try:
RuntimeModelProvenanceService.validate_for_runtime(
model_path=model_path,
model_id=settings.sam_model_id,
task_type="segmentation",
expected_model_version=settings.sam_model_version,
allowed_frameworks=("ultralytics/sam", "sam", "ultralytics", "pytorch"),
)
except AppError as exc:
status = "contract_incomplete"
limitation = (
"Configured SAM weights are not runnable until their immutable runtime provenance "
f"sidecar validates: {exc.message}"
)
else:
configured = True
status = "configured"
limitation = "Configured for local class-agnostic SAM segmentation over an existing raster tile manifest."
return DetectionModelCapability(
model_id=settings.sam_model_id,
@@ -233,9 +264,24 @@ class ModelRegistryService:
status = "accelerator_unavailable"
limitation = exc.message
else:
configured = True
status = "configured"
limitation = "Configured for local YOLO inference over an existing raster tile manifest within its validated area scope."
try:
RuntimeModelProvenanceService.validate_for_runtime(
model_path=model_path,
model_id=settings.yolo_model_id,
task_type="object_detection",
expected_model_version=settings.yolo_model_version,
allowed_frameworks=("ultralytics/pytorch", "ultralytics", "pytorch"),
)
except AppError as exc:
status = "contract_incomplete"
limitation = (
"Configured YOLO weights are not runnable until their immutable runtime provenance "
f"sidecar validates: {exc.message}"
)
else:
configured = True
status = "configured"
limitation = "Configured for local YOLO inference over an existing raster tile manifest within its validated area scope."
return DetectionModelCapability(
model_id=settings.yolo_model_id,