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geointel/backend/app/services/bathymetry_profile_acquisition_service.py
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feat(scope): make Belgium and North Sea operational default
2026-07-22 02:11:48 +02:00

891 lines
42 KiB
Python

from __future__ import annotations
from datetime import UTC, datetime
import hashlib
import json
import math
from typing import Any, Callable
from urllib.error import HTTPError, URLError
from urllib.parse import urlencode
from urllib.request import Request, urlopen
from uuid import UUID
from geoalchemy2.shape import to_shape
from shapely.geometry import Point, box, mapping
from app.core.config import Settings, get_settings
from app.core.errors import AppError
from app.models import Area, Dataset, DatasetVersion, Project
from app.schemas.bathymetry import (
BathymetryPartitionFinalizeRequest,
BathymetryPartitionFinalizationResult,
BathymetryProfileAcquireRequest,
BathymetryProfileAcquisitionResult,
BathymetrySourceRead,
)
from app.services.dataset_service import DatasetService
class BathymetryProfileAcquisitionService:
PROVIDER = "vmm_vha_bathymetry_profiles"
SOURCE_VERSION = "VHA digitale atlas ArcGIS MapServer"
PROFILE_OUT_FIELDS = (
"OBJECTID,vhag,atlaspunt,opg_kruinb,opg_vloerb,d_opmeti,"
"hyperlink,bron,kunstwerkid,opg_diepte"
)
ATTRIBUTION = "Vlaamse Milieumaatschappij (VMM), Vlaamse Hydrografische Atlas"
LICENSE_NOTE = "Hergebruik volgens de voorwaarden van de Vlaamse overheid en de bronmetadata."
LIMITATION = (
"Dwarsprofielen zijn historische puntmetingen met bronafhankelijke meetdatum en verticale referentie. "
"Ze vormen geen continue actuele bodemkaart en ondersteunen zonder gelijktijdig waterpeil geen "
"gebiedsdekkend of actueel watervolume."
)
_SOURCES = (
{
"key": "vha_inland_profiles",
"display_name": "VHA dwarsprofielen binnenwater",
"owner": "Vlaamse Milieumaatschappij",
"authority_level": "authoritative",
"geographic_coverage": "Vlaanderen, puntlocaties op gekarteerde waterlopen",
"data_kind": "dwarsprofielpunten met meetvelden en brondocumenten",
"query_modes": ["bbox", "persisted_area"],
"vertical_reference": "document-specific; niet uniform als één peilreferentie te behandelen",
"horizontal_crs": "EPSG:4326",
"native_resolution": None,
"integration_status": "operational",
"acquisition_supported": True,
"configured": True,
"service_url": "https://vha.waterinfo.be/arcgis/rest/services/digitale_atlas/MapServer/0",
"catalog_url": "https://www.vlaanderen.be/datavindplaats/catalogus/vlaamse-hydrografische-atlas-waterlopen",
"attribution": ATTRIBUTION,
"license_note": LICENSE_NOTE,
"limitation_message": LIMITATION,
},
{
"key": "mdk_bcp_bathymetry",
"display_name": "Dieptemodel Belgisch Continentaal Plat",
"owner": "Agentschap Maritieme Dienstverlening en Kust",
"authority_level": "authoritative",
"geographic_coverage": "Belgisch Continentaal Plat en Noordzee",
"data_kind": "continu bathymetrisch raster",
"query_modes": ["wcs", "wmts", "bounded_raster"],
"vertical_reference": "LAT",
"horizontal_crs": "bronafhankelijk; expliciet per WCS-respons",
"native_resolution": "20 x 20 m",
"integration_status": "probe_only",
"acquisition_supported": False,
"configured": False,
"service_url": "https://bathy.agentschapmdk.be/spatialfusionserver/services/ows/wcs/EL_wcs",
"catalog_url": "https://www.vlaanderen.be/datavindplaats/catalogus/dieptemodel-van-de-zeebodem-belgisch-continentaal-plat-noordzee",
"attribution": "Agentschap Maritieme Dienstverlening en Kust",
"license_note": "Zie de officiële datasetmetadata en gebruiksvoorwaarden.",
"limitation_message": (
"Alleen een read-only GetCapabilities-probe is beschikbaar. Rasteracquisitie blijft uit totdat "
"WCS, maritieme begrenzing, tegels, LAT-semantiek en servercertificaten live zijn gevalideerd."
),
},
{
"key": "spw_walloon_waterway_bathymetry",
"display_name": "Bathymétrie des voies navigables et lacs-réservoirs",
"owner": "Service public de Wallonie",
"authority_level": "authoritative",
"geographic_coverage": "Waalse bevaarbare waterwegen en stuwmeren met uitgevoerde opmetingen",
"data_kind": "bodemhoogteraster en XYZ-puntenwolk",
"query_modes": ["operator_archive", "bounded_raster", "arcgis_map_service"],
"vertical_reference": "mDNG",
"horizontal_crs": "EPSG:3812; visualisatieservice kan EPSG:31370 aanbieden",
"native_resolution": "0,5 m",
"integration_status": "operational",
"acquisition_supported": True,
"configured": True,
"service_url": "https://geoservices.wallonie.be/arcgis/rest/services/EAU/BATHY/MapServer",
"catalog_url": "https://geoportail.wallonie.be/catalogue/0a544b42-0b30-4c8e-85e7-38149b99eae0.html",
"attribution": "Service public de Wallonie",
"license_note": "CC BY 4.0 volgens de officiële Geoportail-metadata.",
"limitation_message": (
"De gepinde officiële release kan begrensd als raster worden geïmporteerd via de operator. "
"Dekking verschilt per vaarweg; de waarden zijn bodemhoogtes in mDNG uit 2019-2022, "
"zonder stilzwijgende datumconversie of afleiding van actuele waterdiepte."
),
},
{
"key": "port_antwerp_bathymetry",
"display_name": "Havenbathymetrie Antwerpen-Brugge",
"owner": "Port of Antwerp-Bruges",
"authority_level": "contextual",
"geographic_coverage": "Gepubliceerde havenzones en meetcampagnes",
"data_kind": "periodieke peilingen",
"query_modes": ["catalog"],
"vertical_reference": "product-specific",
"horizontal_crs": "product-specific",
"native_resolution": None,
"integration_status": "catalog_only",
"acquisition_supported": False,
"configured": False,
"service_url": None,
"catalog_url": "https://data.gov.be/nl/datasets",
"attribution": "Port of Antwerp-Bruges",
"license_note": "Per publicatie te verifiëren.",
"limitation_message": (
"Alleen als cataloguskandidaat geregistreerd; er is nog geen stabiel, publiek en machineleesbaar "
"acquisitiecontract in GeoIntel gevalideerd."
),
},
)
@staticmethod
def list_sources(settings=None) -> list[dict[str, Any]]:
from app.core.config import get_settings
resolved_settings = settings or get_settings()
items: list[dict[str, Any]] = []
for source in BathymetryProfileAcquisitionService._SOURCES:
item = dict(source)
if item["key"] == "mdk_bcp_bathymetry":
mdk_configured = bool(
resolved_settings.mdk_bathymetry_acquisition_enabled
and (resolved_settings.mdk_bathymetry_coverage_id or "").strip()
)
item["acquisition_supported"] = True
item["configured"] = mdk_configured
if mdk_configured:
item["integration_status"] = "operational"
item["limitation_message"] = (
"Begrensde WCS-acquisitie is expliciet ingeschakeld en draait alleen wanneer de "
"live readiness-probe bereikbaar is en het geconfigureerde coverage-id door de "
"capabilities wordt geadverteerd. Dieptes blijven LAT-gerefereerd; watervolume "
"blijft zonder compatibel wateroppervlak niet ondersteund."
)
else:
item["limitation_message"] = (
"Begrensde WCS-acquisitie bestaat maar staat uit. Zet "
"MDK_BATHYMETRY_ACQUISITION_ENABLED=true en configureer MDK_BATHYMETRY_COVERAGE_ID "
"pas nadat de readiness-probe live 'reachable' rapporteert. Er wordt nooit "
"onbeveiligd of ongevalideerd gedownload."
)
items.append(item)
return [BathymetrySourceRead(**item).model_dump() for item in items]
@staticmethod
def _validate_bbox(payload: BathymetryProfileAcquireRequest) -> tuple[float, float, float, float]:
bbox = payload.bbox
if bbox.crs.upper() != "EPSG:4326":
raise AppError(
code="BATHYMETRY_INVALID_CRS",
message="Bathymetry profile acquisition requires EPSG:4326",
status_code=400,
)
values = (bbox.min_x, bbox.min_y, bbox.max_x, bbox.max_y)
if not all(math.isfinite(value) for value in values):
raise AppError(code="BATHYMETRY_INVALID_BBOX", message="Bounding box values must be finite", status_code=400)
if bbox.min_x >= bbox.max_x or bbox.min_y >= bbox.max_y:
raise AppError(code="BATHYMETRY_INVALID_BBOX", message="Bounding box has no area", status_code=400)
if bbox.min_x < -180 or bbox.max_x > 180 or bbox.min_y < -90 or bbox.max_y > 90:
raise AppError(code="BATHYMETRY_INVALID_BBOX", message="Bounding box is outside EPSG:4326", status_code=400)
return values
@staticmethod
def _scope_geometry(db, project_id: UUID, area_id: UUID | None, bbox_values: tuple[float, float, float, float]):
if not db.get(Project, project_id):
raise AppError(code="PROJECT_NOT_FOUND", message="Project not found", status_code=404)
selection = box(*bbox_values)
if area_id is None:
return selection
area = db.get(Area, area_id)
if area is None:
raise AppError(code="AREA_NOT_FOUND", message="Area not found", status_code=404)
if area.project_id != project_id:
raise AppError(code="INVALID_DATASET_SCOPE", message="Area does not belong to this project", status_code=400)
area_geometry = area.geometry if hasattr(area.geometry, "__geo_interface__") else to_shape(area.geometry)
intersection = area_geometry.intersection(selection)
if intersection.is_empty:
raise AppError(
code="BATHYMETRY_SCOPE_EMPTY",
message="The requested bounding box does not intersect the selected area",
status_code=400,
)
return intersection
@staticmethod
def _query_url(base_url: str, parameters: dict[str, Any]) -> str:
return f"{base_url}?{urlencode(parameters)}"
@staticmethod
def _fetch_json(
url: str,
settings: Settings,
opener: Callable[..., Any] | None,
) -> tuple[dict[str, Any], str]:
request = Request(
url,
headers={
"Accept": "application/json",
"User-Agent": "GeoIntel/1.0 bathymetry-profile-acquisition",
},
)
try:
with (opener or urlopen)(request, timeout=settings.bathymetry_profiles_timeout_seconds) as response:
limit = settings.bathymetry_profiles_max_response_mb * 1024 * 1024
content = response.read(limit + 1)
except HTTPError as exc:
raise AppError(
code="BATHYMETRY_PROVIDER_HTTP_ERROR",
message="VHA profile service returned an HTTP error",
details={"status_code": exc.code},
status_code=502,
) from exc
except (TimeoutError, URLError, OSError) as exc:
raise AppError(
code="BATHYMETRY_PROVIDER_UNAVAILABLE",
message="VHA profile service is unavailable",
status_code=502,
) from exc
if len(content) > limit:
raise AppError(
code="BATHYMETRY_PROVIDER_RESPONSE_TOO_LARGE",
message="VHA profile response exceeded the configured size limit",
status_code=502,
)
try:
payload = json.loads(content.decode("utf-8"))
except (UnicodeDecodeError, json.JSONDecodeError) as exc:
raise AppError(
code="BATHYMETRY_PROVIDER_INVALID_RESPONSE",
message="VHA profile service returned invalid JSON",
status_code=502,
) from exc
if not isinstance(payload, dict) or payload.get("error"):
raise AppError(
code="BATHYMETRY_PROVIDER_INVALID_RESPONSE",
message="VHA profile service returned an ArcGIS error",
details={"provider_error": payload.get("error") if isinstance(payload, dict) else None},
status_code=502,
)
return payload, hashlib.sha256(content).hexdigest()
@staticmethod
def _base_spatial_parameters(bbox_values: tuple[float, float, float, float]) -> dict[str, str]:
return {
"f": "json",
"where": "1=1",
"geometry": ",".join(f"{value:.12g}" for value in bbox_values),
"geometryType": "esriGeometryEnvelope",
"inSR": "4326",
"outSR": "4326",
"spatialRel": "esriSpatialRelIntersects",
}
@staticmethod
def _fetch_profiles(
bbox_values: tuple[float, float, float, float],
settings: Settings,
opener: Callable[..., Any] | None,
) -> tuple[list[dict[str, Any]], dict[str, Any]]:
base = settings.bathymetry_profiles_layer_url.rstrip("/") + "/query"
count_url = BathymetryProfileAcquisitionService._query_url(
base,
{
**BathymetryProfileAcquisitionService._base_spatial_parameters(bbox_values),
"returnCountOnly": "true",
"returnGeometry": "false",
},
)
count_payload, count_sha = BathymetryProfileAcquisitionService._fetch_json(count_url, settings, opener)
candidate_count = int(count_payload.get("count") or 0)
if candidate_count > settings.bathymetry_profiles_max_features:
raise AppError(
code="BATHYMETRY_SCOPE_TOO_LARGE",
message="The requested profile scope exceeds the configured feature limit; acquire smaller area partitions",
details={
"candidate_count": candidate_count,
"max_features": settings.bathymetry_profiles_max_features,
},
status_code=413,
)
features: list[dict[str, Any]] = []
response_hashes: list[str] = []
request_urls: list[str] = [count_url]
offset = 0
while offset < candidate_count:
page_url = BathymetryProfileAcquisitionService._query_url(
base,
{
**BathymetryProfileAcquisitionService._base_spatial_parameters(bbox_values),
"outFields": BathymetryProfileAcquisitionService.PROFILE_OUT_FIELDS,
"returnGeometry": "true",
"orderByFields": "OBJECTID",
"resultOffset": str(offset),
"resultRecordCount": str(settings.bathymetry_profiles_page_size),
},
)
page, page_sha = BathymetryProfileAcquisitionService._fetch_json(page_url, settings, opener)
page_features = page.get("features")
if not isinstance(page_features, list):
raise AppError(
code="BATHYMETRY_PROVIDER_INVALID_RESPONSE",
message="VHA profile response does not contain a feature list",
status_code=502,
)
features.extend(item for item in page_features if isinstance(item, dict))
response_hashes.append(page_sha)
request_urls.append(page_url)
if not page_features:
break
offset += len(page_features)
if len(features) != candidate_count:
raise AppError(
code="BATHYMETRY_PROVIDER_INCOMPLETE_RESPONSE",
message="VHA profile pagination did not return the announced number of records",
details={"expected": candidate_count, "received": len(features)},
status_code=502,
)
return features, {
"candidate_count": candidate_count,
"request_urls": request_urls,
"response_sha256": [count_sha, *response_hashes],
}
@staticmethod
def _fetch_watercourse_names(
vhag_codes: set[int],
settings: Settings,
opener: Callable[..., Any] | None,
) -> tuple[dict[int, dict[str, str | None]], list[str], list[str]]:
if not vhag_codes:
return {}, [], []
base = settings.bathymetry_watercourse_layer_url.rstrip("/") + "/query"
names: dict[int, dict[str, str | None]] = {}
urls: list[str] = []
hashes: list[str] = []
ordered_codes = sorted(vhag_codes)
for start in range(0, len(ordered_codes), 100):
chunk = ordered_codes[start : start + 100]
offset = 0
while True:
url = BathymetryProfileAcquisitionService._query_url(
base,
{
"f": "json",
"where": f"\"wlasvl.vhag\" IN ({','.join(str(code) for code in chunk)})",
"outFields": "wlasvl.vhag,VHAG_TABEL.naam,VHAG_TABEL.namen",
"returnGeometry": "false",
"orderByFields": "wlasvl.vhag",
"resultOffset": str(offset),
"resultRecordCount": str(settings.bathymetry_profiles_page_size),
},
)
payload, response_sha = BathymetryProfileAcquisitionService._fetch_json(url, settings, opener)
urls.append(url)
hashes.append(response_sha)
page_features = payload.get("features")
if not isinstance(page_features, list):
raise AppError(
code="BATHYMETRY_PROVIDER_INVALID_RESPONSE",
message="VHA watercourse response does not contain a feature list",
status_code=502,
)
for feature in page_features:
attributes = feature.get("attributes") if isinstance(feature, dict) else None
if not isinstance(attributes, dict):
continue
raw_code = attributes.get("wlasvl.vhag")
if raw_code is None:
continue
code = int(raw_code)
if code not in names:
names[code] = {
"name": attributes.get("VHAG_TABEL.naam"),
"alternative_names": attributes.get("VHAG_TABEL.namen"),
}
if not payload.get("exceededTransferLimit") or not page_features:
break
offset += len(page_features)
return names, urls, hashes
@staticmethod
def _date_from_arcgis(value: Any) -> str | None:
if not isinstance(value, (int, float)) or not math.isfinite(float(value)):
return None
try:
return datetime.fromtimestamp(float(value) / 1000.0, tz=UTC).date().isoformat()
except (OverflowError, OSError, ValueError):
return None
@staticmethod
def _numeric_or_none(value: Any) -> float | None:
if value is None:
return None
try:
normalized = float(value)
except (TypeError, ValueError):
return None
return normalized if math.isfinite(normalized) else None
@staticmethod
def _document_url(value: Any) -> str | None:
if not isinstance(value, str) or not value.strip():
return None
normalized = value.strip()
if normalized.startswith("http://vha.waterinfo.be/"):
normalized = "https://" + normalized[len("http://") :]
return normalized if normalized.startswith("https://vha.waterinfo.be/") else None
@staticmethod
def _normalize_features(
raw_features: list[dict[str, Any]],
scope_geometry,
watercourse_names: dict[int, dict[str, str | None]],
*,
partition_properties: dict[str, Any] | None = None,
) -> tuple[dict[str, Any], dict[str, Any]]:
normalized: list[dict[str, Any]] = []
dates: list[str] = []
watercourse_codes: set[int] = set()
document_count = 0
depth_count = 0
width_count = 0
for raw_feature in raw_features:
attributes = raw_feature.get("attributes")
geometry = raw_feature.get("geometry")
if not isinstance(attributes, dict) or not isinstance(geometry, dict):
continue
x = BathymetryProfileAcquisitionService._numeric_or_none(geometry.get("x"))
y = BathymetryProfileAcquisitionService._numeric_or_none(geometry.get("y"))
if x is None or y is None:
continue
point = Point(x, y)
if not scope_geometry.covers(point):
continue
raw_vhag = attributes.get("vhag")
vhag = int(raw_vhag) if isinstance(raw_vhag, (int, float)) else None
if vhag is not None:
watercourse_codes.add(vhag)
names = watercourse_names.get(vhag or -1, {})
measurement_date = BathymetryProfileAcquisitionService._date_from_arcgis(attributes.get("d_opmeti"))
if measurement_date:
dates.append(measurement_date)
document_url = BathymetryProfileAcquisitionService._document_url(attributes.get("hyperlink"))
depth = BathymetryProfileAcquisitionService._numeric_or_none(attributes.get("opg_diepte"))
crown_width = BathymetryProfileAcquisitionService._numeric_or_none(attributes.get("opg_kruinb"))
floor_width = BathymetryProfileAcquisitionService._numeric_or_none(attributes.get("opg_vloerb"))
if document_url:
document_count += 1
if depth is not None:
depth_count += 1
if crown_width is not None or floor_width is not None:
width_count += 1
object_id = str(attributes.get("OBJECTID"))
normalized.append(
{
"type": "Feature",
"id": object_id,
"properties": {
"source_feature_id": object_id,
"provider_record_id": object_id,
"watercourse_vhag": vhag,
"watercourse_name": names.get("name") or (f"VHA-waterloop {vhag}" if vhag else "Onbekende waterloop"),
"watercourse_alternative_names": names.get("alternative_names"),
"profile_number": attributes.get("atlaspunt"),
"measurement_date": measurement_date,
"recorded_depth_m": depth,
"recorded_crown_width_m": crown_width,
"recorded_floor_width_m": floor_width,
"source_document_url": document_url,
"document_available": document_url is not None,
"structured_depth_available": depth is not None,
"source_code": attributes.get("bron"),
"structure_id": attributes.get("kunstwerkid"),
"provider": BathymetryProfileAcquisitionService.PROVIDER,
"measurement_semantics": "historical_cross_section_profile_point",
"vertical_reference": "document-specific",
**(partition_properties or {}),
},
"geometry": mapping(point),
}
)
return (
{
"type": "FeatureCollection",
"name": "vha_bathymetry_profiles",
"crs": {"type": "name", "properties": {"name": "EPSG:4326"}},
"features": normalized,
},
{
"profile_count": len(normalized),
"document_count": document_count,
"structured_depth_count": depth_count,
"structured_width_count": width_count,
"watercourse_count": len(watercourse_codes),
"measurement_date_min": min(dates) if dates else None,
"measurement_date_max": max(dates) if dates else None,
},
)
@staticmethod
def _municipality_name(area: Area | None) -> str | None:
if area is None:
return None
normalized = str(area.name or "").strip()
prefix = "Gemeente "
if not normalized.casefold().startswith(prefix.casefold()):
return None
municipality = normalized[len(prefix) :].split(" - ", 1)[0].strip()
return municipality or None
@staticmethod
def _cached_dataset(db, project_id: UUID, filename: str) -> Dataset | None:
return (
db.query(Dataset)
.filter(
Dataset.project_id == project_id,
Dataset.name == filename,
Dataset.source_name == BathymetryProfileAcquisitionService.PROVIDER,
Dataset.status == "ready",
)
.order_by(Dataset.created_at.desc())
.first()
)
@staticmethod
def _result(dataset: Dataset, *, reused: bool) -> dict[str, Any]:
metadata = dataset.source_metadata if isinstance(dataset.source_metadata, dict) else {}
return BathymetryProfileAcquisitionResult(
output_dataset_id=dataset.id,
reused=reused,
provider=BathymetryProfileAcquisitionService.PROVIDER,
profile_count=int(metadata.get("profile_count") or 0),
document_count=int(metadata.get("document_count") or 0),
structured_depth_count=int(metadata.get("structured_depth_count") or 0),
structured_width_count=int(metadata.get("structured_width_count") or 0),
watercourse_count=int(metadata.get("watercourse_count") or 0),
bbox_epsg4326=list(metadata.get("bbox_epsg4326") or []),
clipped_to_area_id=dataset.area_id,
measurement_date_min=metadata.get("measurement_date_min"),
measurement_date_max=metadata.get("measurement_date_max"),
attribution=BathymetryProfileAcquisitionService.ATTRIBUTION,
limitation_message=BathymetryProfileAcquisitionService.LIMITATION,
).model_dump(mode="json")
@staticmethod
def acquire(
db,
project_id: UUID,
payload: BathymetryProfileAcquireRequest,
*,
settings: Settings | None = None,
opener: Callable[..., Any] | None = None,
) -> dict[str, Any]:
resolved_settings = settings or get_settings()
if not resolved_settings.bathymetry_profiles_enabled:
raise AppError(
code="BATHYMETRY_NOT_CONFIGURED",
message="VHA bathymetry profile acquisition is disabled",
status_code=503,
)
bbox_values = BathymetryProfileAcquisitionService._validate_bbox(payload)
scope_geometry = BathymetryProfileAcquisitionService._scope_geometry(
db, project_id, payload.area_id, bbox_values
)
area = db.get(Area, payload.area_id) if payload.area_id else None
municipality = BathymetryProfileAcquisitionService._municipality_name(area)
exact_bbox = tuple(float(value) for value in scope_geometry.bounds)
request_identity = {
"provider": BathymetryProfileAcquisitionService.PROVIDER,
"bbox_epsg4326": list(exact_bbox),
"area_id": str(payload.area_id) if payload.area_id else None,
"source_version": BathymetryProfileAcquisitionService.SOURCE_VERSION,
}
request_hash = hashlib.sha256(json.dumps(request_identity, sort_keys=True).encode()).hexdigest()
filename = f"vha_bathymetry_profiles_{request_hash[:12]}.geojson"
if not payload.force_refresh:
cached = BathymetryProfileAcquisitionService._cached_dataset(db, project_id, filename)
if cached is not None:
return BathymetryProfileAcquisitionService._result(cached, reused=True)
raw_features, fetch_provenance = BathymetryProfileAcquisitionService._fetch_profiles(
exact_bbox, resolved_settings, opener
)
vhag_codes = {
int(feature["attributes"]["vhag"])
for feature in raw_features
if isinstance(feature.get("attributes"), dict)
and isinstance(feature["attributes"].get("vhag"), (int, float))
}
names, name_urls, name_hashes = BathymetryProfileAcquisitionService._fetch_watercourse_names(
vhag_codes, resolved_settings, opener
)
feature_collection, summary = BathymetryProfileAcquisitionService._normalize_features(
raw_features,
scope_geometry,
names,
partition_properties={
"partition_area_id": str(area.id),
"partition_area_name": area.name,
**({"municipality": municipality} if municipality else {}),
}
if area
else None,
)
if summary["profile_count"] == 0:
raise AppError(
code="BATHYMETRY_NO_PROFILES",
message="No VHA bathymetry profiles intersect the requested area",
status_code=404,
)
artifact = json.dumps(feature_collection, ensure_ascii=False, separators=(",", ":")).encode("utf-8")
acquired_at = datetime.now(UTC)
source_metadata = {
"provider": BathymetryProfileAcquisitionService.PROVIDER,
"service": "ArcGIS MapServer",
"source_version": BathymetryProfileAcquisitionService.SOURCE_VERSION,
"theme": "bathymetry",
"layer_name": "bathymetry_profiles",
"coverage_scope": "municipality" if payload.area_id else "bounded_selection",
"partition_area_id": str(area.id) if area else None,
"partition_area_name": area.name if area else None,
"municipality": municipality,
"partitioned_source_audit": False,
"regional_partitions_complete": False,
"bbox_epsg4326": list(exact_bbox),
**summary,
"selection_aggregation": {
"metric_key": "profile_count",
"method": "feature_count",
"label": "Dwarsprofielen",
"unit": "profielen",
},
"selection_metrics": [
{
"metric_key": "recorded_depth_mean_m",
"method": "mean",
"property": "recorded_depth_m",
"label": "Gemiddelde geregistreerde diepte",
"unit": "m",
"warning": "Alleen profielen met een gestructureerde dieptewaarde; meetdata kunnen verschillen.",
},
{
"metric_key": "recorded_depth_min_m",
"method": "min",
"property": "recorded_depth_m",
"label": "Kleinste geregistreerde diepte",
"unit": "m",
},
{
"metric_key": "recorded_depth_max_m",
"method": "max",
"property": "recorded_depth_m",
"label": "Grootste geregistreerde diepte",
"unit": "m",
},
{
"metric_key": "recorded_crown_width_mean_m",
"method": "mean",
"property": "recorded_crown_width_m",
"label": "Gemiddelde geregistreerde kruinbreedte",
"unit": "m",
},
{
"metric_key": "recorded_floor_width_mean_m",
"method": "mean",
"property": "recorded_floor_width_m",
"label": "Gemiddelde geregistreerde vloerbreedte",
"unit": "m",
},
],
"attribution": BathymetryProfileAcquisitionService.ATTRIBUTION,
"license_note": BathymetryProfileAcquisitionService.LICENSE_NOTE,
"limitation_message": BathymetryProfileAcquisitionService.LIMITATION,
"volume_supported": False,
}
dataset = DatasetService.import_vector_bytes(
db,
project_id=project_id,
area_id=payload.area_id,
filename=filename,
content=artifact,
source="VHA digitale atlas dwarsprofielen",
source_name=BathymetryProfileAcquisitionService.PROVIDER,
dataset_role="reference",
reference_layer_name="bathymetry_profiles",
source_version=BathymetryProfileAcquisitionService.SOURCE_VERSION,
source_metadata=source_metadata,
provenance_metadata={
"acquisition": "explicit_bounded_arcgis_feature_query",
"acquired_at": acquired_at.isoformat(),
"request_hash": request_hash,
"profile_query_urls": fetch_provenance["request_urls"],
"watercourse_name_query_urls": name_urls,
"response_sha256": [*fetch_provenance["response_sha256"], *name_hashes],
"artifact_sha256": hashlib.sha256(artifact).hexdigest(),
"candidate_count": fetch_provenance["candidate_count"],
"exact_profile_count": summary["profile_count"],
"clipped_to_area_id": str(payload.area_id) if payload.area_id else None,
"scope_geometry_type": scope_geometry.geom_type,
"vertical_reference": "document-specific",
"bathymetric_surface_available": False,
"water_surface_level_available": False,
"water_volume_available": False,
"limitation_message": BathymetryProfileAcquisitionService.LIMITATION,
},
)
persisted = db.get(Dataset, dataset.id)
return BathymetryProfileAcquisitionService._result(persisted, reused=False)
@staticmethod
def finalize_partitions(
db,
project_id: UUID,
payload: BathymetryPartitionFinalizeRequest,
) -> dict[str, Any]:
if not db.get(Project, project_id):
raise AppError(code="PROJECT_NOT_FOUND", message="Project not found", status_code=404)
expected_area_ids = set(payload.expected_area_ids)
dataset_ids = set(payload.dataset_ids)
no_profile_area_ids = set(payload.no_profile_area_ids)
areas: dict[UUID, Area] = {}
for area_id in expected_area_ids:
area = db.get(Area, area_id)
if area is None or area.project_id != project_id:
raise AppError(
code="BATHYMETRY_PARTITION_AREA_INVALID",
message="Every expected partition Area must belong to the project",
details={"area_id": str(area_id)},
status_code=400,
)
if BathymetryProfileAcquisitionService._municipality_name(area) is None:
raise AppError(
code="BATHYMETRY_PARTITION_AREA_INVALID",
message="Bathymetry partitions must use persisted municipality Areas",
details={"area_id": str(area_id), "area_name": area.name},
status_code=400,
)
areas[area_id] = area
if not no_profile_area_ids.issubset(expected_area_ids):
raise AppError(
code="BATHYMETRY_PARTITION_MANIFEST_INVALID",
message="No-profile partitions must be part of the expected Area set",
status_code=400,
)
datasets: list[Dataset] = []
data_area_ids: set[UUID] = set()
for dataset_id in payload.dataset_ids:
dataset = db.get(Dataset, dataset_id)
if (
dataset is None
or dataset.project_id != project_id
or dataset.source_name != BathymetryProfileAcquisitionService.PROVIDER
or dataset.status != "ready"
or dataset.area_id not in expected_area_ids
):
raise AppError(
code="BATHYMETRY_PARTITION_DATASET_INVALID",
message="Every partition Dataset must be a ready VHA profile Dataset scoped to an expected Area",
details={"dataset_id": str(dataset_id)},
status_code=400,
)
if dataset.area_id in data_area_ids:
raise AppError(
code="BATHYMETRY_PARTITION_DATASET_DUPLICATE",
message="A complete manifest may reference only one profile Dataset per Area",
details={"area_id": str(dataset.area_id)},
status_code=400,
)
data_area_ids.add(dataset.area_id)
datasets.append(dataset)
accounted_area_ids = data_area_ids.union(no_profile_area_ids)
if accounted_area_ids != expected_area_ids:
raise AppError(
code="BATHYMETRY_PARTITION_MANIFEST_INCOMPLETE",
message="Every expected Area must have one ready Dataset or an explicit no-profile result",
details={
"missing_area_ids": sorted(str(value) for value in expected_area_ids - accounted_area_ids),
"unexpected_area_ids": sorted(str(value) for value in accounted_area_ids - expected_area_ids),
},
status_code=400,
)
profile_count = 0
document_count = 0
structured_depth_count = 0
dates_min: list[str] = []
dates_max: list[str] = []
shared_metadata = {
"partition_scope_key": payload.partition_scope_key,
"partition_count": len(expected_area_ids),
"data_partition_count": len(datasets),
"no_profile_partition_count": len(no_profile_area_ids),
"partition_manifest_sha256": payload.manifest_sha256,
"partition_manifest_observed_at": payload.observed_at.isoformat(),
"partitioned_source_audit": True,
"regional_partitions_complete": True,
}
shared_provenance = {
"partition_manifest_sha256": payload.manifest_sha256,
"partition_manifest_observed_at": payload.observed_at.isoformat(),
"partition_scope_key": payload.partition_scope_key,
"regional_partitions_complete": True,
"no_profile_area_ids": sorted(str(value) for value in no_profile_area_ids),
}
for dataset in datasets:
source_metadata = dict(dataset.source_metadata or {})
provenance_metadata = dict(dataset.provenance_metadata or {})
profile_count += int(source_metadata.get("profile_count") or 0)
document_count += int(source_metadata.get("document_count") or 0)
structured_depth_count += int(source_metadata.get("structured_depth_count") or 0)
if source_metadata.get("measurement_date_min"):
dates_min.append(str(source_metadata["measurement_date_min"]))
if source_metadata.get("measurement_date_max"):
dates_max.append(str(source_metadata["measurement_date_max"]))
area = areas[dataset.area_id]
source_metadata.update(
{
**shared_metadata,
"coverage_scope": payload.partition_scope_key,
"partition_area_id": str(area.id),
"partition_area_name": area.name,
"municipality": BathymetryProfileAcquisitionService._municipality_name(area),
}
)
provenance_metadata.update(shared_provenance)
dataset.source_metadata = source_metadata
dataset.provenance_metadata = provenance_metadata
if dataset_ids:
versions = (
db.query(DatasetVersion)
.filter(DatasetVersion.dataset_id.in_(dataset_ids))
.all()
)
for version in versions:
version.source_metadata = dict(
next(dataset.source_metadata for dataset in datasets if dataset.id == version.dataset_id)
)
version.provenance_metadata = dict(
next(dataset.provenance_metadata for dataset in datasets if dataset.id == version.dataset_id)
)
db.commit()
return BathymetryPartitionFinalizationResult(
partition_scope_key=payload.partition_scope_key,
regional_partitions_complete=True,
partition_count=len(expected_area_ids),
data_partition_count=len(datasets),
no_profile_partition_count=len(no_profile_area_ids),
profile_count=profile_count,
document_count=document_count,
structured_depth_count=structured_depth_count,
measurement_date_min=min(dates_min) if dates_min else None,
measurement_date_max=max(dates_max) if dates_max else None,
dataset_ids=payload.dataset_ids,
manifest_sha256=payload.manifest_sha256,
observed_at=payload.observed_at,
limitation_message=BathymetryProfileAcquisitionService.LIMITATION,
).model_dump(mode="json")