This commit is contained in:
2026-05-13 22:29:18 +03:30
parent 78d0c52b11
commit a4763265bf
14 changed files with 2699 additions and 682 deletions
+619 -78
View File
@@ -1,9 +1,11 @@
import math
import hashlib
from copy import deepcopy
from decimal import Decimal
from datetime import timedelta
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from celery.result import AsyncResult
from kombu.exceptions import OperationalError
from django.db import transaction
@@ -58,6 +60,9 @@ TASK_STATE_RETRY = "RETRY"
TASK_STATE_SUCCESS = "SUCCESS"
TASK_STATE_FAILURE = "FAILURE"
TASK_STATE_REVOKED = "REVOKED"
AI_LOCATION_DATA_PATH = "/api/location-data/"
AI_REMOTE_SENSING_PATH = "/api/location-data/remote-sensing/"
AI_CLUSTER_RECOMMENDATIONS_PATH = "/api/location-data/remote-sensing/cluster-recommendations/"
def get_default_cell_side_km():
@@ -544,8 +549,101 @@ def build_area_zone_payload(zone):
return base_payload
def _build_area_layer_zone_base_payload(zone):
def _serialize_cluster_candidate(candidate_payload):
if not isinstance(candidate_payload, dict):
return None
return {
"plantId": candidate_payload.get("plant_id"),
"plantName": str(candidate_payload.get("plant_name") or ""),
"position": candidate_payload.get("position"),
"stage": str(candidate_payload.get("stage") or ""),
"score": candidate_payload.get("score"),
"predictedYield": candidate_payload.get("predicted_yield"),
"predictedYieldTons": candidate_payload.get("predicted_yield_tons"),
"biomass": candidate_payload.get("biomass"),
"maxLai": candidate_payload.get("max_lai"),
"simulationEngine": candidate_payload.get("simulation_engine"),
"simulationModelName": candidate_payload.get("simulation_model_name"),
"simulationWarning": str(candidate_payload.get("simulation_warning") or ""),
"supportingMetrics": deepcopy(candidate_payload.get("supporting_metrics") or {}),
}
def _get_zone_ai_cluster_payload(zone):
analysis = getattr(zone, "analysis", None)
raw_response = getattr(analysis, "raw_response", None)
if not isinstance(raw_response, dict):
return {}
cluster_payload = raw_response.get("cluster_recommendation") or {}
if isinstance(cluster_payload, dict):
return cluster_payload
return {}
def _build_zone_cluster_info(zone, cluster_payload):
cluster_block = cluster_payload.get("cluster_block") or {}
return {
"blockCode": str(cluster_payload.get("block_code") or ""),
"clusterUuid": str(cluster_payload.get("cluster_uuid") or cluster_block.get("uuid") or zone.zone_id),
"subBlockCode": str(cluster_payload.get("sub_block_code") or cluster_block.get("sub_block_code") or zone.zone_id),
"clusterLabel": cluster_payload.get("cluster_label"),
"cellCount": cluster_block.get("cell_count"),
"cellCodes": deepcopy(cluster_block.get("cell_codes") or []),
"centerCellCode": cluster_block.get("center_cell_code"),
"centerCellLat": cluster_block.get("center_cell_lat"),
"centerCellLon": cluster_block.get("center_cell_lon"),
"sourceMetadata": deepcopy(cluster_payload.get("source_metadata") or {}),
}
def _build_zone_cluster_metrics(cluster_payload):
if not cluster_payload:
return {
"satelliteMetrics": {},
"sensorMetrics": {},
"resolvedMetrics": {},
"criteria": [],
}
suggested_plant = cluster_payload.get("suggested_plant")
return {
"satelliteMetrics": deepcopy(cluster_payload.get("satellite_metrics") or {}),
"sensorMetrics": deepcopy(cluster_payload.get("sensor_metrics") or {}),
"resolvedMetrics": deepcopy(cluster_payload.get("resolved_metrics") or {}),
"criteria": _build_metric_criteria(cluster_payload, suggested_plant),
}
def _build_zone_crop_prediction(cluster_payload):
if not cluster_payload:
return {"suggestedPlant": None, "candidatePlants": []}
return {
"suggestedPlant": _serialize_cluster_candidate(cluster_payload.get("suggested_plant")),
"candidatePlants": [
item
for item in (
_serialize_cluster_candidate(candidate_payload)
for candidate_payload in (cluster_payload.get("candidate_plants") or [])
)
if item is not None
],
}
def _attach_ai_zone_payload(base_payload, zone):
cluster_payload = _get_zone_ai_cluster_payload(zone)
base_payload["clusterInfo"] = _build_zone_cluster_info(zone, cluster_payload)
base_payload["clusterMetrics"] = _build_zone_cluster_metrics(cluster_payload)
base_payload["cropPrediction"] = _build_zone_crop_prediction(cluster_payload)
return base_payload
def _build_area_layer_zone_base_payload(zone):
return _attach_ai_zone_payload(
{
"zoneId": zone.zone_id,
"zoneUuid": str(zone.uuid),
"geometry": zone.geometry,
@@ -555,7 +653,9 @@ def _build_area_layer_zone_base_payload(zone):
"sequence": zone.sequence,
"processing_status": zone.processing_status,
"processing_error": zone.processing_error,
}
},
zone,
)
def build_water_need_area_zone_payload(zone):
@@ -907,73 +1007,478 @@ def get_farm_for_uuid(farm_uuid, owner=None):
raise ValueError("Farm not found.") from exc
def _raise_ai_response_error(response, default_message):
payload = response.data if isinstance(response.data, dict) else {}
message = payload.get("msg") or payload.get("message") or default_message
if response.status_code >= 500:
raise ImproperlyConfigured(message)
raise ValueError(message)
def _unwrap_ai_response(response, *, expected_statuses):
if response.status_code not in expected_statuses:
_raise_ai_response_error(response, f"AI location_data API returned status {response.status_code}.")
payload = response.data if isinstance(response.data, dict) else {}
if "data" in payload:
return payload["data"]
return payload
def _request_ai_location_data(path, *, method="GET", payload=None, query=None):
return external_request(
"ai",
path,
method=method,
payload=payload,
query=query,
)
def _feature_from_geometry(geometry):
if not isinstance(geometry, dict):
return get_default_area_feature()
if geometry.get("type") == "Feature":
return normalize_area_feature(geometry)
return normalize_area_feature(
{
"type": "Feature",
"properties": {},
"geometry": geometry,
}
)
def _upsert_crop_area_snapshot(farm, area_feature):
normalized_feature = normalize_area_feature(area_feature)
ring = get_polygon_ring(normalized_feature)
points = normalize_points(ring)
area_sqm = round(polygon_area_sqm(ring), 2)
area_hectares = round(area_sqm / 10000.0, 4)
defaults = {
"geometry": normalized_feature,
"points": points,
"center": calculate_center(points),
"area_sqm": area_sqm,
"area_hectares": area_hectares,
"chunk_area_sqm": round(get_chunk_area_sqm(), 2),
}
crop_area = farm.current_crop_area
if crop_area is None:
crop_area = CropArea.objects.create(
farm=farm,
zone_count=0,
**defaults,
)
farm.current_crop_area = crop_area
farm.save(update_fields=["current_crop_area", "updated_at"])
return crop_area
for field_name, value in defaults.items():
setattr(crop_area, field_name, value)
crop_area.save(update_fields=[*defaults.keys(), "updated_at"])
return crop_area
def _get_farm_area_feature(farm, fallback=None):
if fallback is not None:
return normalize_area_feature(fallback)
crop_area = farm.current_crop_area or farm.crop_areas.order_by("-created_at", "-id").first()
if crop_area is not None and crop_area.geometry:
return normalize_area_feature(crop_area.geometry)
return get_default_area_feature()
def _build_processing_layer_payload(farm, remote_payload, *, page, page_size):
area_feature = _get_farm_area_feature(
farm,
fallback=((remote_payload.get("location") or {}).get("farm_boundary")),
)
location = remote_payload.get("location") or {}
run = remote_payload.get("run") or {}
status_value = str(remote_payload.get("status") or "").lower()
task_status = "PROCESSING" if status_value == "processing" else "PENDING"
return {
"task": {
"status": task_status,
"stage": status_value or "queued",
"stage_label": "در حال دریافت تقسیم بندی و متریک ها از AI",
"area_uuid": str(getattr(farm.current_crop_area, "uuid", "")) if farm.current_crop_area_id else "",
"total_zones": 0,
"completed_zones": 0,
"processing_zones": 0,
"pending_zones": 0,
"failed_zones": 0,
"remaining_zones": 0,
"progress_percent": 0,
"summary": {
"done": 0,
"in_progress": 0,
"remaining": 0,
"failed": 0,
},
"message": "تقسیم بندی و متریک های کشت در AI در حال آماده سازی است.",
"failed_zone_errors": [],
"cell_side_km": round(get_default_cell_side_km(), 4),
"task_id": remote_payload.get("task_id") or (run.get("metadata") or {}).get("task_id"),
},
"area": area_feature,
"zones": [],
"location": location,
"farmerBlocks": deepcopy(((location.get("block_layout") or {}).get("blocks") or [])),
"clusterBlocks": [],
"pagination": {
"page": page,
"page_size": page_size,
"total_pages": 0,
"total_zones": 0,
"returned_zones": 0,
"has_next": False,
"has_previous": False,
},
}
def _hash_color(value):
digest = hashlib.md5(str(value).encode("utf-8")).hexdigest()
return f"#{digest[:6]}"
def _clamp_percent(value, *, default=0):
try:
numeric = float(value)
except (TypeError, ValueError):
return default
return max(0, min(100, round(numeric)))
def _extract_zone_points(geometry):
coordinates = (geometry or {}).get("coordinates") or []
if not coordinates or not coordinates[0]:
return []
ring = coordinates[0]
return ring[:-1] if len(ring) > 1 and ring[0] == ring[-1] else ring
def _build_metric_criteria(cluster_payload, suggested_plant):
resolved_metrics = cluster_payload.get("resolved_metrics") or {}
criteria = []
ndvi_score = _clamp_percent((resolved_metrics.get("ndvi") or 0) * 100)
criteria.append({"name": "NDVI", "value": ndvi_score})
ndwi_raw = resolved_metrics.get("ndwi")
ndwi_score = _clamp_percent(((float(ndwi_raw) + 1.0) / 2.0) * 100) if ndwi_raw is not None else 0
criteria.append({"name": "NDWI", "value": ndwi_score})
soil_moisture = resolved_metrics.get("soil_moisture")
if soil_moisture is not None:
criteria.append({"name": "رطوبت خاک", "value": _clamp_percent(soil_moisture)})
nitrogen = resolved_metrics.get("nitrogen")
if nitrogen is not None:
criteria.append({"name": "نیتروژن", "value": _clamp_percent(float(nitrogen) * 4)})
if suggested_plant is not None:
criteria.append({"name": "امتیاز AI", "value": _clamp_percent(suggested_plant.get("score"))})
return criteria[:4]
def _derive_layer_bundle(cluster_payload, suggested_plant):
resolved_metrics = cluster_payload.get("resolved_metrics") or {}
criteria = _build_metric_criteria(cluster_payload, suggested_plant)
soil_score = next((item["value"] for item in criteria if item["name"] in {"NDVI", "نیتروژن"}), 0)
if soil_score >= 75:
soil_level = "high"
elif soil_score >= 45:
soil_level = "medium"
else:
soil_level = "low"
moisture_value = resolved_metrics.get("soil_moisture")
ndwi_raw = resolved_metrics.get("ndwi")
if moisture_value is not None:
water_score = _clamp_percent(100 - float(moisture_value))
water_value_text = f"{round(float(moisture_value), 2)}% soil moisture"
elif ndwi_raw is not None:
water_score = _clamp_percent(100 - (((float(ndwi_raw) + 1.0) / 2.0) * 100))
water_value_text = f"NDWI {round(float(ndwi_raw), 3)}"
else:
water_score = 0
water_value_text = ""
if water_score >= 65:
water_level = "high"
elif water_score >= 35:
water_level = "medium"
else:
water_level = "low"
ai_score = _clamp_percent((suggested_plant or {}).get("score"))
risk_score = max(0, min(100, round((100 - soil_score) * 0.6 + (100 - ai_score) * 0.4)))
if risk_score >= 65:
risk_level = "high"
elif risk_score >= 35:
risk_level = "medium"
else:
risk_level = "low"
return {
"criteria": criteria,
"soil": {
"score": soil_score,
"level": soil_level,
"color": _get_level_color_map("soil", soil_level),
},
"water": {
"level": water_level,
"value": water_value_text,
"color": _get_level_color_map("water", water_level),
},
"risk": {
"level": risk_level,
"color": _get_level_color_map("risk", risk_level),
},
}
def _sync_crop_area_from_ai(farm, remote_payload, recommendation_payload=None):
location_payload = remote_payload.get("location") or {}
area_feature = _get_farm_area_feature(
farm,
fallback=location_payload.get("farm_boundary"),
)
crop_area = _upsert_crop_area_snapshot(farm, area_feature)
subdivision_result = remote_payload.get("subdivision_result") or {}
cluster_blocks = subdivision_result.get("cluster_blocks") or []
recommendation_map = {}
for cluster in (recommendation_payload or {}).get("clusters", []):
cluster_uuid = str(cluster.get("cluster_uuid") or ((cluster.get("cluster_block") or {}).get("uuid") or ""))
if cluster_uuid:
recommendation_map[cluster_uuid] = cluster
existing_zones = {zone.zone_id: zone for zone in crop_area.zones.all()}
retained_zone_ids = []
with transaction.atomic():
for sequence, cluster_block in enumerate(
sorted(cluster_blocks, key=lambda item: (item.get("cluster_label") is None, item.get("cluster_label"), item.get("sub_block_code") or ""))
):
zone_id = str(cluster_block.get("uuid") or cluster_block.get("sub_block_code") or f"cluster-{sequence}")
geometry = cluster_block.get("geometry") or {}
points = _extract_zone_points(geometry)
area_sqm = round(polygon_area_sqm((geometry.get("coordinates") or [[points]])[0]), 2) if geometry.get("coordinates") else 0.0
area_hectares = round(area_sqm / 10000.0, 4)
zone_defaults = {
"geometry": geometry,
"points": points,
"center": {
"longitude": float(cluster_block.get("centroid_lon") or 0),
"latitude": float(cluster_block.get("centroid_lat") or 0),
},
"area_sqm": area_sqm,
"area_hectares": area_hectares,
"sequence": sequence,
"processing_status": CropZone.STATUS_COMPLETED,
"processing_error": "",
"task_id": str(((remote_payload.get("run") or {}).get("metadata") or {}).get("task_id") or ""),
}
zone = existing_zones.get(zone_id)
if zone is None:
zone = CropZone.objects.create(crop_area=crop_area, zone_id=zone_id, **zone_defaults)
else:
for field_name, value in zone_defaults.items():
setattr(zone, field_name, value)
zone.save(update_fields=[*zone_defaults.keys(), "updated_at"])
retained_zone_ids.append(zone.zone_id)
cluster_payload = recommendation_map.get(zone_id, {})
suggested_plant = cluster_payload.get("suggested_plant")
layer_bundle = _derive_layer_bundle(cluster_payload, suggested_plant)
product_id = str((suggested_plant or {}).get("plant_name") or (suggested_plant or {}).get("plant_id") or "")
if product_id:
product, _ = CropProduct.objects.update_or_create(
product_id=product_id,
defaults={
"label": str((suggested_plant or {}).get("plant_name") or product_id),
"color": _hash_color(product_id),
},
)
recommendation, _ = CropZoneRecommendation.objects.update_or_create(
crop_zone=zone,
defaults={
"product": product,
"match_percent": _clamp_percent((suggested_plant or {}).get("score")),
"water_need": layer_bundle["water"]["value"],
"estimated_profit": (
f"{round(float((suggested_plant or {}).get('predicted_yield_tons')), 2)} ton/ha"
if (suggested_plant or {}).get("predicted_yield_tons") is not None
else ""
),
"reason": "پیشنهاد محصول بر اساس متریک های سنجش از دور و تحلیل کلاستر AI تولید شده است.",
},
)
CropZoneCriteria.objects.filter(recommendation=recommendation).delete()
CropZoneCriteria.objects.bulk_create(
[
CropZoneCriteria(
recommendation=recommendation,
name=item["name"],
value=item["value"],
sequence=index,
)
for index, item in enumerate(layer_bundle["criteria"])
]
)
else:
CropZoneRecommendation.objects.filter(crop_zone=zone).delete()
CropZoneWaterNeedLayer.objects.update_or_create(
crop_zone=zone,
defaults=layer_bundle["water"],
)
CropZoneSoilQualityLayer.objects.update_or_create(
crop_zone=zone,
defaults=layer_bundle["soil"],
)
CropZoneCultivationRiskLayer.objects.update_or_create(
crop_zone=zone,
defaults=layer_bundle["risk"],
)
CropZoneAnalysis.objects.update_or_create(
crop_zone=zone,
defaults={
"source": "ai_location_data",
"external_record_id": zone_id,
"latitude": zone.center.get("latitude"),
"longitude": zone.center.get("longitude"),
"raw_response": {
"remote_sensing": remote_payload,
"cluster_recommendation": cluster_payload,
},
"depths": [],
},
)
CropZone.objects.filter(crop_area=crop_area).exclude(zone_id__in=retained_zone_ids).delete()
crop_area.zone_count = len(retained_zone_ids)
crop_area.chunk_area_sqm = subdivision_result.get("chunk_size_sqm") or crop_area.chunk_area_sqm
crop_area.save(update_fields=["zone_count", "chunk_area_sqm", "updated_at"])
return crop_area
def _get_ai_remote_sensing_payload(*, farm_uuid, page, page_size):
response = _request_ai_location_data(
AI_REMOTE_SENSING_PATH,
method="GET",
query={
"farm_uuid": str(farm_uuid),
"page": page,
"page_size": page_size,
},
)
return _unwrap_ai_response(response, expected_statuses={200})
def _start_ai_remote_sensing(*, farm_uuid):
response = _request_ai_location_data(
AI_REMOTE_SENSING_PATH,
method="POST",
payload={"farm_uuid": str(farm_uuid)},
)
return _unwrap_ai_response(response, expected_statuses={202})
def _get_ai_cluster_recommendations(*, farm_uuid):
response = _request_ai_location_data(
AI_CLUSTER_RECOMMENDATIONS_PATH,
method="GET",
query={"farm_uuid": str(farm_uuid)},
)
return _unwrap_ai_response(response, expected_statuses={200})
def _build_ai_layer_context(remote_payload, recommendation_payload=None):
location = deepcopy(remote_payload.get("location") or {})
subdivision_result = deepcopy(remote_payload.get("subdivision_result") or {})
run = deepcopy(remote_payload.get("run") or {})
return {
"source": {
"type": "ai_location_data",
"service": "ai",
"status": str(remote_payload.get("status") or ""),
},
"location": location,
"farmerBlocks": deepcopy(((location.get("block_layout") or {}).get("blocks") or [])),
"clusterBlocks": deepcopy(subdivision_result.get("cluster_blocks") or []),
"subdivisionSummary": {
"clusterCount": subdivision_result.get("cluster_count")
or len(subdivision_result.get("cluster_blocks") or []),
"chunkSizeSqm": subdivision_result.get("chunk_size_sqm") or remote_payload.get("chunk_size_sqm"),
"selectedFeatures": deepcopy(
subdivision_result.get("selected_features")
or run.get("selected_features")
or []
),
"temporalExtent": deepcopy(remote_payload.get("temporal_extent") or {}),
"summary": deepcopy(remote_payload.get("summary") or {}),
},
"registeredPlants": deepcopy((recommendation_payload or {}).get("registered_plants") or []),
"evaluatedPlantCount": (recommendation_payload or {}).get("evaluated_plant_count"),
}
def _get_latest_layer_payload_from_ai(zone_builder, *, farm_uuid, owner=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
farm = get_farm_for_uuid(farm_uuid, owner=owner)
remote_payload = _get_ai_remote_sensing_payload(
farm_uuid=farm_uuid,
page=page,
page_size=page_size,
)
remote_status = str(remote_payload.get("status") or "").lower()
if remote_status == "not_found":
remote_payload = _start_ai_remote_sensing(farm_uuid=farm_uuid)
return _build_processing_layer_payload(farm, remote_payload, page=page, page_size=page_size)
if remote_status != "success":
return _build_processing_layer_payload(farm, remote_payload, page=page, page_size=page_size)
recommendation_payload = None
try:
recommendation_payload = _get_ai_cluster_recommendations(farm_uuid=farm_uuid)
except ValueError:
recommendation_payload = None
crop_area = _sync_crop_area_from_ai(farm, remote_payload, recommendation_payload)
return _build_latest_area_layer_payload(
zone_builder,
area=crop_area,
page=page,
page_size=page_size,
extra_payload=_build_ai_layer_context(remote_payload, recommendation_payload),
)
def ensure_latest_area_ready_for_processing(farm_uuid, area_feature=None, owner=None):
farm = get_farm_for_uuid(farm_uuid, owner=owner)
latest_area = CropArea.objects.filter(farm=farm).order_by("-created_at", "-id").first()
if latest_area is None:
latest_area, _ = create_zones_and_dispatch(area_feature or get_default_area_feature(), farm=farm)
return latest_area
zones = create_missing_zones_for_area(latest_area)
for zone in zones:
ensure_rule_based_zone_data(zone)
stale_zone_ids = _get_stale_zone_ids(zones)
zones_to_dispatch = [
zone.id
for zone in zones
if zone.processing_status != CropZone.STATUS_COMPLETED
and zone.id not in stale_zone_ids
and not (zone.processing_status in {CropZone.STATUS_PENDING, CropZone.STATUS_PROCESSING} and zone.task_id)
]
if stale_zone_ids:
dispatch_zone_processing_tasks(zone_ids=stale_zone_ids, force=True)
if zones_to_dispatch:
dispatch_zone_processing_tasks(zone_ids=zones_to_dispatch)
return CropArea.objects.get(id=latest_area.id)
return _upsert_crop_area_snapshot(farm, _get_farm_area_feature(farm, fallback=area_feature))
def create_zones_and_dispatch(area_feature, cell_side_km=None, farm=None):
ensure_products_exist()
area_feature = normalize_area_feature(area_feature)
zoning_result = split_area_into_zones(area_feature, cell_side_km=cell_side_km)
area_data = zoning_result["area"]
if farm is None:
raise ValueError("farm is required.")
with transaction.atomic():
crop_area = CropArea.objects.create(
farm=farm,
geometry=area_data["geometry"],
points=area_data["points"],
center=area_data["center"],
area_sqm=round(area_data["area_sqm"], 2),
area_hectares=round(area_data["area_hectares"], 4),
chunk_area_sqm=round(area_data["chunk_area_sqm"], 2),
zone_count=area_data["zone_count"],
)
zones = CropZone.objects.bulk_create(
[
CropZone(
crop_area=crop_area,
zone_id=zone["zone_id"],
geometry=zone["geometry"],
points=zone["points"],
center=zone["center"],
area_sqm=round(zone["area_sqm"], 2),
area_hectares=round(zone["area_hectares"], 4),
sequence=zone["sequence"],
)
for zone in zoning_result["zones"]
]
)
crop_area.refresh_from_db()
zones = list(crop_area.zones.order_by("sequence", "id"))
for zone in zones:
ensure_rule_based_zone_data(zone)
dispatch_zone_processing_tasks(crop_area.id)
return crop_area, zones
crop_area = _upsert_crop_area_snapshot(farm, area_feature)
CropZone.objects.filter(crop_area=crop_area).delete()
crop_area.zone_count = 0
crop_area.chunk_area_sqm = round(get_chunk_area_sqm(cell_side_km), 2)
crop_area.save(update_fields=["zone_count", "chunk_area_sqm", "updated_at"])
return crop_area, []
def _zones_queryset(zone_ids=None):
@@ -982,6 +1487,7 @@ def _zones_queryset(zone_ids=None):
"water_need_layer",
"soil_quality_layer",
"cultivation_risk_layer",
"analysis",
).prefetch_related(
Prefetch("recommendation__criteria", queryset=CropZoneCriteria.objects.order_by("sequence", "id"))
).order_by("sequence", "id")
@@ -1017,7 +1523,13 @@ def _get_idle_area_payload(page, page_size):
}
def _build_latest_area_layer_payload(zone_builder, area=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
def _build_latest_area_layer_payload(
zone_builder,
area=None,
page=1,
page_size=DEFAULT_ZONE_PAGE_SIZE,
extra_payload=None,
):
area = area or CropArea.objects.order_by("-created_at", "-id").first()
if not area:
return _get_idle_area_payload(page, page_size)
@@ -1058,7 +1570,7 @@ def _build_latest_area_layer_payload(zone_builder, area=None, page=1, page_size=
if total_zones:
progress_percent = round((completed_zones / total_zones) * 100, 2)
return {
payload = {
"task": {
"status": task_status,
"stage": current_stage,
@@ -1107,34 +1619,46 @@ def _build_latest_area_layer_payload(zone_builder, area=None, page=1, page_size=
"has_previous": page > 1 and total_pages > 0,
},
}
if extra_payload:
payload.update(extra_payload)
return payload
def get_latest_area_payload(area=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _build_latest_area_layer_payload(build_area_zone_payload, area=area, page=page, page_size=page_size)
def get_latest_area_payload(*, farm_uuid, owner=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _get_latest_layer_payload_from_ai(
build_area_zone_payload,
farm_uuid=farm_uuid,
owner=owner,
page=page,
page_size=page_size,
)
def get_latest_water_need_payload(area=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _build_latest_area_layer_payload(
def get_latest_water_need_payload(*, farm_uuid, owner=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _get_latest_layer_payload_from_ai(
build_water_need_area_zone_payload,
area=area,
farm_uuid=farm_uuid,
owner=owner,
page=page,
page_size=page_size,
)
def get_latest_soil_quality_payload(area=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _build_latest_area_layer_payload(
def get_latest_soil_quality_payload(*, farm_uuid, owner=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _get_latest_layer_payload_from_ai(
build_soil_quality_area_zone_payload,
area=area,
farm_uuid=farm_uuid,
owner=owner,
page=page,
page_size=page_size,
)
def get_latest_cultivation_risk_payload(area=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _build_latest_area_layer_payload(
def get_latest_cultivation_risk_payload(*, farm_uuid, owner=None, page=1, page_size=DEFAULT_ZONE_PAGE_SIZE):
return _get_latest_layer_payload_from_ai(
build_cultivation_risk_area_zone_payload,
area=area,
farm_uuid=farm_uuid,
owner=owner,
page=page,
page_size=page_size,
)
@@ -1197,10 +1721,24 @@ def get_cultivation_risk_payload(zone_ids=None):
}
def get_zone_details_payload(zone_id):
zone = _zones_queryset().get(zone_id=zone_id)
def get_zone_details_payload(zone_id, *, farm_uuid=None, owner=None):
zone_filters = {"zone_id": zone_id}
if farm_uuid:
_get_latest_layer_payload_from_ai(
build_area_zone_payload,
farm_uuid=farm_uuid,
owner=owner,
page=1,
page_size=DEFAULT_ZONE_PAGE_SIZE,
)
zone_filters["crop_area__farm__farm_uuid"] = farm_uuid
if owner is not None:
zone_filters["crop_area__farm__owner"] = owner
zone = _zones_queryset().get(**zone_filters)
recommendation = getattr(zone, "recommendation", None)
criteria = recommendation.criteria.all() if recommendation else []
cluster_payload = _get_zone_ai_cluster_payload(zone)
return {
"zoneId": zone.zone_id,
"crop": recommendation.product.product_id if recommendation else "",
@@ -1210,4 +1748,7 @@ def get_zone_details_payload(zone_id):
"reason": recommendation.reason if recommendation else "",
"criteria": [{"name": item.name, "value": item.value} for item in criteria],
"area_hectares": zone.area_hectares,
"clusterInfo": _build_zone_cluster_info(zone, cluster_payload),
"clusterMetrics": _build_zone_cluster_metrics(cluster_payload),
"cropPrediction": _build_zone_crop_prediction(cluster_payload),
}